PATENT DOCUMENT

Publication Number: US-10904611-B2
Application Number: US-201715495861-A
Country: US
Kind Code: B2

Title: Intelligent automated assistant for TV user interactions

Abstract:
Systems and processes are disclosed for controlling television user interactions using a virtual assistant. In an example process, a virtual assistant can interact with a television set-top box to control content shown on a television display. Speech input for the virtual assistant can be received from a device with a microphone. The speech input can comprise a query associated with content shown on the television display. A user intent of the query can be determined based on one or more of the content shown on the television display and a viewing history of media content. A result of the query can be caused to be displayed based on the determined user intent.

Claims:
What is claimed is: 
     
       1. An electronic device, comprising:
 one or more processors; and 
 memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:
 causing display of a notification associated with content not currently displayed, wherein
 the notification is displayed based on at least one of a viewing history of media content and one or more user preferences, and 
 the notification is displayed for an amount of time based on a length of the notification; 
 
 receiving speech input from a user, wherein the speech input comprises a query associated with displayed content, and wherein the displayed content includes the displayed notification; 
 determining a user intent of the query based on one or more of the displayed content and the viewing history of media content, wherein the displayed content is weighted higher than the viewing history of the media content; and 
 causing display of a result of the query based on the determined user intent. 
 
 
     
     
       2. The device of  claim 1 , wherein the speech input is received at a remote control. 
     
     
       3. The device of  claim 1 , wherein the speech input is received at a mobile telephone. 
     
     
       4. The device of  claim 1 , wherein the result of the query is displayed on a television display. 
     
     
       5. The device of  claim 1 , wherein displayed content comprises a movie. 
     
     
       6. The device of  claim 1 , wherein the displayed content comprises a television show. 
     
     
       7. The device of  claim 1 , wherein the displayed content comprises a sporting event. 
     
     
       8. The device of  claim 1 , wherein the query comprises a request for information about a person associated with the displayed content, and the result of the query comprises information about the person. 
     
     
       9. The device of  claim 8 , wherein the result of the query comprises media content associated with the person. 
     
     
       10. The device of  claim 9 , wherein the media content comprises one or more of a movie, a television show, or a sporting event associated with the person. 
     
     
       11. The device of  claim 1 , wherein the query comprises a request for information about a character in the displayed content, and the result of the query comprises information about the character or information about an actor who plays the character. 
     
     
       12. The device of  claim 11 , wherein the result of the query comprises media content associated with the actor who plays the character. 
     
     
       13. The device of  claim 12 , wherein the media content comprises one or more of a movie, a television show, or a sporting event associated with the actor who plays the character. 
     
     
       14. The device of  claim 1 , wherein the one or more programs further include instructions for:
 determining the result of the query based on metadata associated with the displayed content or the viewing history of media content. 
 
     
     
       15. The device of  claim 14 , wherein the metadata comprises one or more of a title, a description, a list of characters, a list of actors, a list of players, a genre, or a display schedule associated with the displayed content or the viewing history of media content. 
     
     
       16. The device of  claim 1 , wherein the displayed content comprises a list of media content, and the query comprises a request to display one of the items in the list. 
     
     
       17. The device of  claim 16 , wherein the displayed content further comprises an item in the list of media content having focus; and
 wherein determining the user intent of the query comprises identifying the item having focus. 
 
     
     
       18. The device of  claim 1 , wherein the one or more programs further include instructions for:
 determining the user intent of the query based on menu or search content recently displayed on a television display. 
 
     
     
       19. The device of  claim 18 , wherein the displayed content comprises a page of listed media, and the recently displayed menu or search content comprises a previous page of listed media. 
     
     
       20. The device of  claim 1 , wherein the displayed content comprises one or more categories of media, and one of the one or more categories of media has focus. 
     
     
       21. The device of  claim 20 , wherein the one or more programs further include instructions for:
 determining the user intent of the query based on the one of the one or more categories of media having focus. 
 
     
     
       22. The device of  claim 20 , wherein the categories of media comprise movies, television programs, and music. 
     
     
       23. The device of  claim 1 , wherein the one or more programs further include instructions for:
 determining alternative media content for display based on one or more of a user preference, a show popularity, and a status of a live sporting event; and 
 causing display of a notification comprising the determined alternative media content. 
 
     
     
       24. A method for controlling television interaction using a virtual assistant, the method comprising:
 at an electronic device:
 causing display of a notification associated with content not currently displayed, wherein
 the notification is displayed based on at least one of a viewing history of media content and one or more user preferences, and 
 the notification is displayed for an amount of time based on a length of the notification; 
 
 receiving speech input from a user, wherein the speech input comprises a query associated with displayed content, and wherein the displayed content includes the displayed notification; 
 determining a user intent of the query based on one or more of the displayed content and the viewing history of media content, wherein the displayed content is weighted higher than the viewing history of the media content; and 
 causing display of a result of the query based on the determined user intent. 
 
 
     
     
       25. A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors of an electronic device with a display and a location sensor, the one or more programs including instructions for:
 causing display of a notification associated with content not currently displayed, wherein
 the notification is displayed based on at least one of a viewing history of media content and one or more user preferences, and 
 the notification is displayed for an amount of time based on a length of the notification; 
 receiving speech input from a user, wherein the speech input comprises a query associated with displayed content, and wherein the displayed content includes the displayed notification; 
 determining a user intent of the query based on one or more of the displayed content and the viewing history of media content, wherein the displayed content is weighted higher than the viewing history of the media content; and 
 causing display of a result of the query based on the determined user intent. 
 
 
     
     
       26. The device of  claim 1 , wherein the result is associated with one or more of the displayed content and the viewing history of media content. 
     
     
       27. The method of  claim 24 , wherein the result is associated with one or more of the displayed content and the viewing history of media content. 
     
     
       28. The non-transitory computer-readable storage medium of  claim 25 , wherein the result is associated with one or more of the displayed content and the viewing history of media content. 
     
     
       29. The method of  claim 24 , wherein the speech input is received at a remote control. 
     
     
       30. The method of  claim 24 , wherein the speech input is received at a mobile telephone. 
     
     
       31. The method of  claim 24 , wherein the result of the query is displayed on a television display. 
     
     
       32. The method of  claim 24 , comprising:
 determining the result of the query based on metadata associated with the displayed content or the viewing history of media content. 
 
     
     
       33. The method of  claim 32 , wherein the metadata comprises one or more of a title, a description, a list of characters, a list of actors, a list of players, a genre, or a display schedule associated with the displayed content or the viewing history of media content. 
     
     
       34. The method of  claim 24 , wherein the displayed content comprises a list of media content, and the query comprises a request to display one of the items in the list. 
     
     
       35. The method of  claim 34 , wherein displayed content further comprises an item in the list of media content having focus; and
 wherein determining the user intent of the query comprises identifying the item having focus. 
 
     
     
       36. The method of  claim 24 , comprising:
 determining the user intent of the query based on menu or search content recently displayed on a television display. 
 
     
     
       37. The method of  claim 24 , wherein the displayed content comprises one or more categories of media, and one of the one or more categories of media has focus. 
     
     
       38. The method of  claim 37 , comprising:
 determining the user intent of the query based on the one of the one or more categories of media having focus. 
 
     
     
       39. The method of  claim 37 , wherein the categories of media comprise movies, television programs, and music. 
     
     
       40. The non-transitory computer-readable storage medium of  claim 25 , wherein the speech input is received at a remote control. 
     
     
       41. The non-transitory computer-readable storage medium of  claim 25 , wherein the speech input is received at a mobile telephone. 
     
     
       42. The non-transitory computer-readable storage medium of  claim 25 , wherein the result of the query is displayed on a television display. 
     
     
       43. The non-transitory computer-readable storage medium of  claim 25 , wherein the one or more programs further include instructions for:
 determining the result of the query based on metadata associated with the displayed content or the viewing history of media content. 
 
     
     
       44. The non-transitory computer-readable storage medium of  claim 43 , wherein the metadata comprises one or more of a title, a description, a list of characters, a list of actors, a list of players, a genre, or a display schedule associated with the displayed content or the viewing history of media content. 
     
     
       45. The non-transitory computer-readable storage medium of  claim 25 , wherein the displayed content comprises a list of media content, and the query comprises a request to display one of the items in the list. 
     
     
       46. The non-transitory computer-readable storage medium of  claim 25 , wherein the displayed content further comprises an item in the list of media content having focus; and
 wherein determining the user intent of the query comprises identifying the item having focus. 
 
     
     
       47. The non-transitory computer-readable storage medium of  claim 25 , wherein the one or more programs further include instructions for:
 determining the user intent of the query based on menu or search content recently displayed on a television display. 
 
     
     
       48. The non-transitory computer-readable storage medium of  claim 25 , wherein the displayed content comprises one or more categories of media, and one of the one or more categories of media has focus. 
     
     
       49. The non-transitory computer-readable storage medium of  claim 48 , wherein the one or more programs further include instructions for:
 determining the user intent of the query based on the one of the one or more categories of media having focus. 
 
     
     
       50. The non-transitory computer-readable storage medium of  claim 48 , wherein the categories of media comprise movies, television programs, and music.

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application is a continuation of U.S. patent application Ser. No. 15/085,465, filed Mar. 30, 2016, which is a continuation of U.S. patent application Ser. No. 14/498,503, filed Sep. 26, 2014, now U.S. Pat. No. 9,338,493, issued May 10, 2016, which claims priority from U.S. Provisional Ser. No. 62/019,312, filed on Jun. 30, 2014, which are hereby each incorporated by reference in their entirety for all purposes. 
     This application also relates to the following provisional application: U.S. Patent Application Ser. No. 62/019,292, “Real-time Digital Assistant Knowledge Updates,” filed Jun. 30, 2014, which is hereby incorporated by reference in its entirety. 
    
    
     FIELD 
     This relates generally to controlling television user interactions and, more specifically, to processing speech for a virtual assistant to control television user interactions. 
     BACKGROUND 
     Intelligent automated assistants (or virtual assistants) provide an intuitive interface between users and electronic devices. These assistants can allow users to interact with devices or systems using natural language in spoken and/or text forms. For example, a user can access the services of an electronic device by providing a spoken user input in natural language form to a virtual assistant associated with the electronic device. The virtual assistant can perform natural language processing on the spoken user input to infer the user&#39;s intent and operationalize the user&#39;s intent into tasks. The tasks can then be performed by executing one or more functions of the electronic device, and, in some examples, a relevant output can be returned to the user in natural language form. 
     While mobile telephones (e.g., smartphones), tablet computers, and the like have benefitted from virtual assistant control, many other user devices lack such convenient control mechanisms. For example, user interactions with media control devices (e.g., televisions, television set-top boxes, cable boxes, gaming devices, streaming media devices, digital video recorders, etc.) can be complicated and difficult to learn. Moreover, with the growing sources of media available through such devices (e.g., over-the-air TV, subscription TV service, streaming video services, cable on-demand video services, web-based video services, etc.), it can be cumbersome or even overwhelming for some users to find desired media content to consume. As a result, many media control devices can provide an inferior user experience that can be frustrating for many users. 
     SUMMARY 
     Systems and processes are disclosed for controlling television interactions using a virtual assistant. In one example, speech input can be received from a user. Media content can be determined based on the speech input. A first user interface having a first size can be displayed, and the first user interface can include selectable links to the media content. A selection of one of the selectable links can be received. In response to the selection, a second user interface can be displayed having a second size larger than the first size, and the second user interface can include the media content associated with the selection. 
     In another example, speech input can be received from a user at a first device having a first display. A user intent of the speech input can be determined based on content displayed on the first display. Media content can be determined based on the user intent. The media content can be played on a second device associated with a second display. 
     In another example, speech input can be received from a user, and the speech input can include a query associated with content shown on a television display. A user intent of the query can be determined based on the content shown on the television display and/or a viewing history of media content. A result of the query can be displayed based on the determined user intent. 
     In another example, media content can be displayed on a display. An input can be received from a user. Virtual assistant queries can be determined based on the media content and/or a viewing history of media content. The virtual assistant queries can be displayed on the display. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  illustrates an exemplary system for controlling television user interaction using a virtual assistant. 
         FIG. 2  illustrates a block diagram of an exemplary user device according to various examples. 
         FIG. 3  illustrates a block diagram of an exemplary media control device in a system for controlling television user interaction. 
         FIGS. 4A-4E  illustrate an exemplary speech input interface over video content. 
         FIG. 5  illustrates an exemplary media content interface over video content. 
         FIGS. 6A-6B  illustrate an exemplary media detail interface over video content. 
         FIGS. 7A-7B  illustrate an exemplary media transition interface. 
         FIGS. 8A-8B  illustrate an exemplary speech input interface over menu content. 
         FIG. 9  illustrates an exemplary virtual assistant result interface over menu content. 
         FIG. 10  illustrates an exemplary process for controlling television interactions using a virtual assistant and displaying associated information using different interfaces. 
         FIG. 11  illustrates exemplary television media content on a mobile user device. 
         FIG. 12  illustrates exemplary television control using a virtual assistant. 
         FIG. 13  illustrates exemplary picture and video content on a mobile user device. 
         FIG. 14  illustrates exemplary media display control using a virtual assistant. 
         FIG. 15  illustrates exemplary virtual assistant interactions with results on a mobile user device and a media display device. 
         FIG. 16  illustrates exemplary virtual assistant interactions with media results on a media display device and a mobile user device. 
         FIG. 17  illustrates exemplary media device control based on proximity. 
         FIG. 18  illustrates an exemplary process for controlling television interactions using a virtual assistant and multiple user devices. 
         FIG. 19  illustrates an exemplary speech input interface with a virtual assistant query about background video content. 
         FIG. 20  illustrates an exemplary informational virtual assistant response over video content. 
         FIG. 21  illustrates an exemplary speech input interface with a virtual assistant query for media content associated with background video content. 
         FIG. 22  illustrates an exemplary virtual assistant response interface with selectable media content. 
         FIGS. 23A-23B  illustrate exemplary pages of a program menu. 
         FIG. 24  illustrates an exemplary media menu divided into categories. 
         FIG. 25  illustrates an exemplary process for controlling television interactions using media content shown on a display and a viewing history of media content. 
         FIG. 26  illustrates an exemplary interface with virtual assistant query suggestions based on background video content. 
         FIG. 27  illustrates an exemplary interface for confirming selection of a suggested query. 
         FIGS. 28A-28B  illustrate an exemplary virtual assistant answer interface based on a selected query. 
         FIG. 29  illustrates a media content notification and an exemplary interface with virtual assistant query suggestions based on the notification. 
         FIG. 30  illustrates a mobile user device with exemplary picture and video content that is playable on a media control device. 
         FIG. 31  illustrates an exemplary mobile user device interface with virtual assistant query suggestions based on playable user device content and based on video content shown on a separate display 
         FIG. 32  illustrates an exemplary interface with virtual assistant query suggestions based on playable content from a separate user device. 
         FIG. 33  illustrates an exemplary process for suggesting virtual assistant interactions for controlling media content. 
         FIG. 34  illustrates a functional block diagram of an electronic device configured to control television interactions using a virtual assistant and display associated information using different interfaces according to various examples. 
         FIG. 35  illustrates a functional block diagram of an electronic device configured to control television interactions using a virtual assistant and multiple user devices according to various examples. 
         FIG. 36  illustrates a functional block diagram of an electronic device configured to control television interactions using media content shown on a display and a viewing history of media content according to various examples. 
         FIG. 37  illustrates a functional block diagram of an electronic device configured to suggest virtual assistant interactions for controlling media content according to various examples. 
     
    
    
     DETAILED DESCRIPTION 
     In the following description of examples, reference is made to the accompanying drawings in which it is shown by way of illustration specific examples that can be practiced. It is to be understood that other examples can be used and structural changes can be made without departing from the scope of the various examples. 
     This relates to systems and processes for controlling television user interactions using a virtual assistant. In one example, a virtual assistant can be used to interact with a media control device, such as a television set-top box controlling content shown on a television display. A mobile user device or a remote control with a microphone can be used to receive speech input for the virtual assistant. The user&#39;s intent can be determined from the speech input, and the virtual assistant can execute tasks according to the user&#39;s intent, including causing playback of media on a connected television and controlling any other functions of a television set-top box or like device (e.g., managing video recordings, searching for media content, navigating menus, etc.). 
     Virtual assistant interactions can be shown on a connected television or other display. In one example, media content can be determined based on speech input received from a user. A first user interface with a first small size can be displayed, including selectable links to the determined media content. After receiving a selection of a media link, a second user interface with a second larger size can be displayed, including the media content associated with the selection. In other examples, the interface used to convey virtual assistant interactions can expand or contract to occupy a minimal amount of space while conveying desired information. 
     In some examples, multiple devices associated with multiple displays can be used to determine user intent from speech input as well as to convey information to users in different ways. For example, speech input can be received from a user at a first device having a first display. The user&#39;s intent can be determined from the speech input based on content displayed on the first display. Media content can be determined based on the user intent, and the media content can be played on a second device associated with a second display. 
     Television display content can also be used as contextual input for determining user intent from speech input. For example, speech input can be received from a user, including a query associated with content shown on a television display. The user intent of the query can be determined based on the content shown on the television display as well as a viewing history of media content on the television display (e.g., disambiguating the query based on characters in a playing TV show). The results of the query can then be displayed based on the determined user intent. 
     In some examples, virtual assistant query suggestions can be provided to the user (e.g., to acquaint the user with available commands, suggest interesting content, etc.). For example, media content can be shown on a display, and an input can be received from the user requesting virtual assistant query suggestions. Virtual assistant queries suggestions can be determined based on the media content shown on the display and a viewing history of media content shown on the display (e.g., suggesting queries related to a playing TV show). The suggested virtual assistant queries can then be shown on the display. 
     Controlling television user interactions using a virtual assistant according to the various examples discussed herein can provide an efficient and enjoyable user experience. User interactions with media control devices can be intuitive and simple using a virtual assistant capable of receiving natural language queries or commands. Available functions can be suggested to users as desired, including meaningful query suggestions based on playing content, which can aid users to learn control capabilities. In addition, available media can be made easily accessible using intuitive spoken commands. It should be understood, however, that still many other advantages can be achieved according to the various examples discussed herein. 
       FIG. 1  illustrates exemplary system  100  for controlling television user interaction using a virtual assistant. It should be understood that controlling television user interaction as discussed herein is merely one example of controlling media on one type of display technology and is used for reference, and the concepts discussed herein can be used for controlling any media content interactions generally, including on any of a variety of devices and associated displays (e.g., monitors, laptop displays, desktop computer displays, mobile user device displays, projector displays, etc.). The term “television” can thus refer to any type of display associated with any of a variety of devices. Moreover, the terms “virtual assistant,” “digital assistant,” “intelligent automated assistant,” or “automatic digital assistant” can refer to any information processing system that can interpret natural language input in spoken and/or textual form to infer user intent, and perform actions based on the inferred user intent. For example, to act on an inferred user intent, the system can perform one or more of the following: identifying a task flow with steps and parameters designed to accomplish the inferred user intent; inputting specific requirements from the inferred user intent into the task flow; executing the task flow by invoking programs, methods, services, APIs, or the like; and generating output responses to the user in an audible (e.g., spoken) and/or visual form. 
     A virtual assistant can be capable of accepting a user request at least partially in the form of a natural language command, request, statement, narrative, and/or inquiry. Typically, the user request seeks either an informational answer or performance of a task by the virtual assistant (e.g., causing display of particular media). A satisfactory response to the user request can include provision of the requested informational answer, performance of the requested task, or a combination of the two. For example, a user can ask the virtual assistant a question, such as “Where am I right now?” Based on the user&#39;s current location, the virtual assistant can answer, “You are in Central Park.” The user can also request the performance of a task, for example, “Please remind me to call Mom at 4 p.m. today.” In response, the virtual assistant can acknowledge the request and then create an appropriate reminder item in the user&#39;s electronic schedule. During the performance of a requested task, the virtual assistant can sometimes interact with the user in a continuous dialogue involving multiple exchanges of information over an extended period of time. There are numerous other ways of interacting with a virtual assistant to request information or performance of various tasks. In addition to providing verbal responses and taking programmed actions, the virtual assistant can also provide responses in other visual or audio forms (e.g., as text, alerts, music, videos, animations, etc.). Moreover, as discussed herein, an exemplary virtual assistant can control playback of media content (e.g., playing video on a television) and cause information to be displayed on a display. 
     An example of a virtual assistant is described in Applicants&#39; U.S. Utility application Ser. No. 12/987,982 for “Intelligent Automated Assistant,” filed Jan. 10, 2011, the entire disclosure of which is incorporated herein by reference. 
     As shown in  FIG. 1 , in some examples, a virtual assistant can be implemented according to a client-server model. The virtual assistant can include a client-side portion executed on a user device  102  and a server-side portion executed on a server system  110 . The client-side portion can also be executed on television set-top box  104  in conjunction with remote control  106 . User device  102  can include any electronic device, such as a mobile phone (e.g., smartphone), tablet computer, portable media player, desktop computer, laptop computer, PDA, wearable electronic device (e.g., digital glasses, wristband, wristwatch, brooch, armband, etc.), or the like. Television set-top box  104  can include any media control device, such as a cable box, satellite box, video player, video streaming device, digital video recorder, gaming system, DVD player, Blu-ray Disc™ Player, a combination of such devices, or the like. Television set-top box  104  can be connected to display  112  and speakers  111  via a wired or wireless connection. Display  112  (with or without speakers  111 ) can be any type of display, such as a television display, monitor, projector, or the like. In some examples, television set-top box  104  can connect to an audio system (e.g., audio receiver), and speakers  111  can be separate from display  112 . In other examples, display  112 , speakers  111 , and television set-top box  104  can be incorporated together in a single device, such as a smart television with advanced processing and network connectivity capabilities. In such examples, the functions of television set-top box  104  can be executed as an application on the combined device. 
     In some examples, television set-top box  104  can function as a media control center for multiple types and sources of media content. For example, television set-top box  104  can facilitate user access to live television (e.g., over-the-air, satellite, or cable television). As such, television set-top box  104  can include cable tuners, satellite tuners, or the like. In some examples, television set-top box  104  can also record television programs for later time-shifted viewing. In other examples, television set-top box  104  can provide access to one or more streaming media services, such as cable-delivered on-demand television shows, videos, and music as well as Internet-delivered television shows, videos, and music (e.g., from various free, paid, and subscription-based streaming services). In still other examples, television set-top box  104  can facilitate playback or display of media content from any other source, such as displaying photos from a mobile user device, playing videos from a coupled storage device, playing music from a coupled music player, or the like. Television set-top box  104  can also include various other combinations of the media control features discussed herein, as desired. 
     User device  102  and television set-top box  104  can communicate with server system  110  through one or more networks  108 , which can include the Internet, an intranet, or any other wired or wireless public or private network. In addition, user device  102  can communicate with television set-top box  104  through network  108  or directly through any other wired or wireless communication mechanisms (e.g., Bluetooth, Wi-Fi, radio frequency, infrared transmission, etc.). As illustrated, remote control  106  can communicate with television set-top box  104  using any type of communication, such as a wired connection or any type of wireless communication (e.g., Bluetooth, Wi-Fi, radio frequency, infrared transmission, etc.), including via network  108 . In some examples, users can interact with television set-top box  104  through user device  102 , remote control  106 , or interface elements integrated within television set-top box  104  (e.g., buttons, a microphone, a camera, a joystick, etc.). For example, speech input including media-related queries or commands for the virtual assistant can be received at user device  102  and/or remote control  106 , and the speech input can be used to cause media-related tasks to be executed on television set-top box  104 . Likewise, tactile commands for controlling media on television set-top box  104  can be received at user device  102  and/or remote control  106  (as well as from other devices not shown). The various functions of television set-top box  104  can thus be controlled in a variety of ways, giving users multiple options for controlling media content from multiple devices. 
     The client-side portion of the exemplary virtual assistant executed on user device  102  and/or television set-top box  104  with remote control  106  can provide client-side functionalities, such as user-facing input and output processing and communications with server system  110 . Server system  110  can provide server-side functionalities for any number of clients residing on a respective user device  102  or respective television set-top box  104 . 
     Server system  110  can include one or more virtual assistant servers  114  that can include a client-facing I/O interface  122 , one or more processing modules  118 , data and model storage  120 , and an I/O interface to external services  116 . The client-facing I/O interface  122  can facilitate the client-facing input and output processing for virtual assistant server  114 . The one or more processing modules  118  can utilize data and model storage  120  to determine the user&#39;s intent based on natural language input, and can perform task execution based on inferred user intent. In some examples, virtual assistant server  114  can communicate with external services  124 , such as telephony services, calendar services, information services, messaging services, navigation services, television programming services, streaming media services, and the like, through network(s)  108  for task completion or information acquisition. The I/O interface to external services  116  can facilitate such communications. 
     Server system  110  can be implemented on one or more standalone data processing devices or a distributed network of computers. In some examples, server system  110  can employ various virtual devices and/or services of third-party service providers (e.g., third-party cloud service providers) to provide the underlying computing resources and/or infrastructure resources of server system  110 . 
     Although the functionality of the virtual assistant is shown in  FIG. 1  as including both a client-side portion and a server-side portion, in some examples, the functions of an assistant (or speech recognition and media control in general) can be implemented as a standalone application installed on a user device, television set-top box, smart television, or the like. In addition, the division of functionalities between the client and server portions of the virtual assistant can vary in different examples. For instance, in some examples, the client executed on user device  102  or television set-top box  104  can be a thin client that provides only user-facing input and output processing functions, and delegates all other functionalities of the virtual assistant to a backend server. 
       FIG. 2  illustrates a block diagram of exemplary user device  102  according to various examples. As shown, user device  102  can include a memory interface  202 , one or more processors  204 , and a peripherals interface  206 . The various components in user device  102  can be coupled together by one or more communication buses or signal lines. User device  102  can further include various sensors, subsystems, and peripheral devices that are coupled to the peripherals interface  206 . The sensors, subsystems, and peripheral devices can gather information and/or facilitate various functionalities of user device  102 . 
     For example, user device  102  can include a motion sensor  210 , a light sensor  212 , and a proximity sensor  214  coupled to peripherals interface  206  to facilitate orientation, light, and proximity sensing functions. One or more other sensors  216 , such as a positioning system (e.g., a GPS receiver), a temperature sensor, a biometric sensor, a gyroscope, a compass, an accelerometer, and the like, can also be connected to peripherals interface  206 , to facilitate related functionalities. 
     In some examples, a camera subsystem  220  and an optical sensor  222  can be utilized to facilitate camera functions, such as taking photographs and recording video clips. Communication functions can be facilitated through one or more wired and/or wireless communication subsystems  224 , which can include various communication ports, radio frequency receivers and transmitters, and/or optical (e.g., infrared) receivers and transmitters. An audio subsystem  226  can be coupled to speakers  228  and microphone  230  to facilitate voice-enabled functions, such as voice recognition, voice replication, digital recording, and telephony functions. 
     In some examples, user device  102  can further include an I/O subsystem  240  coupled to peripherals interface  206 . I/O subsystem  240  can include a touchscreen controller  242  and/or other input controller(s)  244 . Touchscreen controller  242  can be coupled to a touchscreen  246 . Touchscreen  246  and the touchscreen controller  242  can, for example, detect contact and movement or break thereof using any of a plurality of touch sensitivity technologies, such as capacitive, resistive, infrared, and surface acoustic wave technologies; proximity sensor arrays; and the like. Other input controller(s)  244  can be coupled to other input/control devices  248 , such as one or more buttons, rocker switches, a thumb-wheel, an infrared port, a USB port, and/or a pointer device, such as a stylus. 
     In some examples, user device  102  can further include a memory interface  202  coupled to memory  250 . Memory  250  can include any electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device; a portable computer diskette (magnetic); a random access memory (RAM) (magnetic); a read-only memory (ROM) (magnetic); an erasable programmable read-only memory (EPROM) (magnetic); a portable optical disc such as CD, CD-R, CD-RW, DVD, DVD-R, or DVD-RW; or flash memory such as compact flash cards, secured digital cards, USB memory devices, memory sticks, and the like. In some examples, a non-transitory computer-readable storage medium of memory  250  can be used to store instructions (e.g., for performing portions or all of the various processes described herein) for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device, and can execute the instructions. In other examples, the instructions (e.g., for performing portions or all of the various processes described herein) can be stored on a non-transitory computer-readable storage medium of server system  110 , or can be divided between the non-transitory computer-readable storage medium of memory  250  and the non-transitory computer-readable storage medium of server system  110 . In the context of this document, a “non-transitory computer-readable storage medium” can be any medium that can contain or store the program for use by or in connection with the instruction execution system, apparatus, or device. 
     In some examples, memory  250  can store an operating system  252 , a communication module  254 , a graphical user interface module  256 , a sensor processing module  258 , a phone module  260 , and applications  262 . Operating system  252  can include instructions for handling basic system services and for performing hardware-dependent tasks. Communication module  254  can facilitate communicating with one or more additional devices, one or more computers, and/or one or more servers. Graphical user interface module  256  can facilitate graphical user interface processing. Sensor processing module  258  can facilitate sensor-related processing and functions. Phone module  260  can facilitate phone-related processes and functions. Application module  262  can facilitate various functionalities of user applications, such as electronic messaging, web browsing, media processing, navigation, imaging, and/or other processes and functions. 
     As described herein, memory  250  can also store client-side virtual assistant instructions (e.g., in a virtual assistant client module  264 ) and various user data  266  (e.g., user-specific vocabulary data, preference data, and/or other data such as the user&#39;s electronic address book, to-do lists, shopping lists, television program favorites, etc.) to, for example, provide the client-side functionalities of the virtual assistant. User data  266  can also be used in performing speech recognition in support of the virtual assistant or for any other application. 
     In various examples, virtual assistant client module  264  can be capable of accepting voice input (e.g., speech input), text input, touch input, and/or gestural input through various user interfaces (e.g., I/O subsystem  240 , audio subsystem  226 , or the like) of user device  102 . Virtual assistant client module  264  can also be capable of providing output in audio (e.g., speech output), visual, and/or tactile forms. For example, output can be provided as voice, sound, alerts, text messages, menus, graphics, videos, animations, vibrations, and/or combinations of two or more of the above. During operation, virtual assistant client module  264  can communicate with the virtual assistant server using communication subsystem  224 . 
     In some examples, virtual assistant client module  264  can utilize the various sensors, subsystems, and peripheral devices to gather additional information from the surrounding environment of user device  102  to establish a context associated with a user, the current user interaction, and/or the current user input. Such context can also include information from other devices, such as from television set-top box  104 . In some examples, virtual assistant client module  264  can provide the contextual information or a subset thereof with the user input to the virtual assistant server to help infer the user&#39;s intent. The virtual assistant can also use the contextual information to determine how to prepare and deliver outputs to the user. The contextual information can further be used by user device  102  or server system  110  to support accurate speech recognition. 
     In some examples, the contextual information that accompanies the user input can include sensor information, such as lighting, ambient noise, ambient temperature, images or videos of the surrounding environment, distance to another object, and the like. The contextual information can further include information associated with the physical state of user device  102  (e.g., device orientation, device location, device temperature, power level, speed, acceleration, motion patterns, cellular signal strength, etc.) or the software state of user device  102  (e.g., running processes, installed programs, past and present network activities, background services, error logs, resources usage, etc.). The contextual information can further include information associated with the state of connected devices or other devices associated with the user (e.g., media content displayed by television set-top box  104 , media content available to television set-top box  104 , etc.). Any of these types of contextual information can be provided to virtual assistant server  114  (or used on user device  102  itself) as contextual information associated with a user input. 
     In some examples, virtual assistant client module  264  can selectively provide information (e.g., user data  266 ) stored on user device  102  in response to requests from virtual assistant server  114  (or it can be used on user device  102  itself in executing speech recognition and/or virtual assistant functions). Virtual assistant client module  264  can also elicit additional input from the user via a natural language dialogue or other user interfaces upon request by virtual assistant server  114 . Virtual assistant client module  264  can pass the additional input to virtual assistant server  114  to help virtual assistant server  114  in intent inference and/or fulfillment of the user&#39;s intent expressed in the user request. 
     In various examples, memory  250  can include additional instructions or fewer instructions. Furthermore, various functions of user device  102  can be implemented in hardware and/or in firmware, including in one or more signal processing and/or application specific integrated circuits. 
       FIG. 3  illustrates a block diagram of exemplary television set-top box  104  in system  300  for controlling television user interaction. System  300  can include a subset of the elements of system  100 . In some examples, system  300  can execute certain functions alone and can function together with other elements of system  100  to execute other functions. For example, the elements of system  300  can process certain media control functions without interacting with server system  110  (e.g., playback of locally stored media, recording functions, channel tuning, etc.), and system  300  can process other media control functions in conjunction with server system  110  and other elements of system  100  (e.g., playback of remotely stored media, downloading media content, processing certain virtual assistant queries, etc.). In other examples, the elements of system  300  can perform the functions of the larger system  100 , including accessing external services  124  through a network. It should be understood that functions can be divided between local devices and remote server devices in a variety of other ways. 
     As shown in  FIG. 3 , in one example, television set-top box  104  can include memory interface  302 , one or more processors  304 , and a peripherals interface  306 . The various components in television set-top box  104  can be coupled together by one or more communication buses or signal lines. Television set-top box  104  can further include various subsystems and peripheral devices that are coupled to the peripherals interface  306 . The subsystems and peripheral devices can gather information and/or facilitate various functionalities of television set-top box  104 . 
     For example, television set-top box  104  can include a communications subsystem  324 . Communication functions can be facilitated through one or more wired and/or wireless communication subsystems  324 , which can include various communication ports, radio frequency receivers and transmitters, and/or optical (e.g., infrared) receivers and transmitters. 
     In some examples, television set-top box  104  can further include an I/O subsystem  340  coupled to peripherals interface  306 . I/O subsystem  340  can include an audio/video output controller  370 . Audio/video output controller  370  can be coupled to a display  112  and speakers  111  or can otherwise provide audio and video output (e.g., via audio/video ports, wireless transmission, etc.). I/O subsystem  340  can further include remote controller  342 . Remote controller  342  can be communicatively coupled to remote control  106  (e.g., via a wired connection, Bluetooth, Wi-Fi, etc.). Remote control  106  can include microphone  372  for capturing audio input (e.g., speech input from a user), button(s)  374  for capturing tactile input, and transceiver  376  for facilitating communication with television set-top box  104  via remote controller  342 . Remote control  106  can also include other input mechanisms, such as a keyboard, joystick, touchpad, or the like. Remote control  106  can further include output mechanisms, such as lights, a display, a speaker, or the like. Input received at remote control  106  (e.g., user speech, button presses, etc.) can be communicated to television set-top box  104  via remote controller  342 . I/O subsystem  340  can also include other input controller(s)  344 . Other input controller(s)  344  can be coupled to other input/control devices  348 , such as one or more buttons, rocker switches, a thumb-wheel, an infrared port, a USB port, and/or a pointer device, such as a stylus. 
     In some examples, television set-top box  104  can further include a memory interface  302  coupled to memory  350 . Memory  350  can include any electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device; a portable computer diskette (magnetic); a random access memory (RAM) (magnetic); a read-only memory (ROM) (magnetic); an erasable programmable read-only memory (EPROM) (magnetic); a portable optical disc such as CD, CD-R, CD-RW, DVD, DVD-R, or DVD-RW; or flash memory such as compact flash cards, secured digital cards, USB memory devices, memory sticks, and the like. In some examples, a non-transitory computer-readable storage medium of memory  350  can be used to store instructions (e.g., for performing portions or all of the various processes described herein) for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device, and can execute the instructions. In other examples, the instructions (e.g., for performing portions or all of the various processes described herein) can be stored on a non-transitory computer-readable storage medium of server system  110 , or can be divided between the non-transitory computer-readable storage medium of memory  350  and the non-transitory computer-readable storage medium of server system  110 . In the context of this document, a “non-transitory computer-readable storage medium” can be any medium that can contain or store the program for use by or in connection with the instruction execution system, apparatus, or device. 
     In some examples, memory  350  can store an operating system  352 , a communication module  354 , a graphical user interface module  356 , an on-device media module  358 , an off-device media module  360 , and applications  362 . Operating system  352  can include instructions for handling basic system services and for performing hardware-dependent tasks. Communication module  354  can facilitate communicating with one or more additional devices, one or more computers, and/or one or more servers. Graphical user interface module  356  can facilitate graphical user interface processing. On-device media module  358  can facilitate storage and playback of media content stored locally on television set-top box  104  and other media content available locally (e.g., cable channel tuning). Off-device media module  360  can facilitate streaming playback or download of media content stored remotely (e.g., on a remote server, on user device  102 , etc.). Application module  362  can facilitate various functionalities of user applications, such as electronic messaging, web browsing, media processing, gaming, and/or other processes and functions. 
     As described herein, memory  350  can also store client-side virtual assistant instructions (e.g., in a virtual assistant client module  364 ) and various user data  366  (e.g., user-specific vocabulary data, preference data, and/or other data such as the user&#39;s electronic address book, to-do lists, shopping lists, television program favorites, etc.) to, for example, provide the client-side functionalities of the virtual assistant. User data  366  can also be used in performing speech recognition in support of the virtual assistant or for any other application. 
     In various examples, virtual assistant client module  364  can be capable of accepting voice input (e.g., speech input), text input, touch input, and/or gestural input through various user interfaces (e.g., I/O subsystem  340  or the like) of television set-top box  104 . Virtual assistant client module  364  can also be capable of providing output in audio (e.g., speech output), visual, and/or tactile forms. For example, output can be provided as voice, sound, alerts, text messages, menus, graphics, videos, animations, vibrations, and/or combinations of two or more of the above. During operation, virtual assistant client module  364  can communicate with the virtual assistant server using communication subsystem  324 . 
     In some examples, virtual assistant client module  364  can utilize the various subsystems and peripheral devices to gather additional information from the surrounding environment of television set-top box  104  to establish a context associated with a user, the current user interaction, and/or the current user input. Such context can also include information from other devices, such as from user device  102 . In some examples, virtual assistant client module  364  can provide the contextual information or a subset thereof with the user input to the virtual assistant server to help infer the user&#39;s intent. The virtual assistant can also use the contextual information to determine how to prepare and deliver outputs to the user. The contextual information can further be used by television set-top box  104  or server system  110  to support accurate speech recognition. 
     In some examples, the contextual information that accompanies the user input can include sensor information, such as lighting, ambient noise, ambient temperature, distance to another object, and the like. The contextual information can further include information associated with the physical state of television set-top box  104  (e.g., device location, device temperature, power level, etc.) or the software state of television set-top box  104  (e.g., running processes, installed applications, past and present network activities, background services, error logs, resources usage, etc.). The contextual information can further include information associated with the state of connected devices or other devices associated with the user (e.g., content displayed on user device  102 , playable content on user device  102 , etc.). Any of these types of contextual information can be provided to virtual assistant server  114  (or used on television set-top box  104  itself) as contextual information associated with a user input. 
     In some examples, virtual assistant client module  364  can selectively provide information (e.g., user data  366 ) stored on television set-top box  104  in response to requests from virtual assistant server  114  (or it can be used on television set-top box  104  itself in executing speech recognition and/or virtual assistant functions). Virtual assistant client module  364  can also elicit additional input from the user via a natural language dialogue or other user interfaces upon request by virtual assistant server  114 . Virtual assistant client module  364  can pass the additional input to virtual assistant server  114  to help virtual assistant server  114  in intent inference and/or fulfillment of the user&#39;s intent expressed in the user request. 
     In various examples, memory  350  can include additional instructions or fewer instructions. Furthermore, various functions of television set-top box  104  can be implemented in hardware and/or in firmware, including in one or more signal processing and/or application specific integrated circuits. 
     It should be understood that system  100  and system  300  are not limited to the components and configuration shown in  FIG. 1  and  FIG. 3 , and user device  102 , television set-top box  104 , and remote control  106  are likewise not limited to the components and configuration shown in  FIG. 2  and  FIG. 3 . System  100 , system  300 , user device  102 , television set-top box  104 , and remote control  106  can all include fewer or other components in multiple configurations according to various examples. 
     Throughout this disclosure, references to “the system” can include system  100 , system  300 , or one or more elements of either system  100  or system  300 . For example, a typical system referred to herein can include at least television set-top box  104  receiving user input from remote control  106  and/or user device  102 . 
       FIGS. 4A through 4E  illustrate exemplary speech input interface  484  that can be shown on a display (such as display  112 ) to convey speech input information to a user. In one example, speech input interface  484  can be shown over video  480 , which can include any moving images or paused video. For example, video  480  can include live television, a playing video, a streaming movie, playback of a recorded program, or the like. Speech input interface  484  can be configured to occupy a minimal amount of space so as not to significantly interfere with user viewing of video  480 . 
     In one example, a virtual assistant can be triggered to listen for speech input containing a command or query (or to commence recording of speech input for subsequent processing or commence processing in real-time of speech input). Listening can be triggered in a variety of ways, including indications such as a user pressing a physical button on remote control  106 , a user pressing a physical button on user device  102 , a user pressing a virtual button on user device  102 , a user uttering a trigger phrase that is recognizable by an always-listening device (e.g., uttering “Hey Assistant” to commence listening for a command), a user performing a gesture detectable by a sensor (e.g., motioning in front of a camera), or the like. In another example, a user can press and hold a physical button on remote control  106  or user device  102  to initiate listening. In still other examples, a user can press and hold a physical button on remote control  106  or user device  102  while speaking a query or command, and can release the button when finished. Various other indications can likewise be received to initiate receipt of speech input from the user. 
     In response to receiving an indication to listen for speech input, speech input interface  484  can be displayed.  FIG. 4A  illustrates notification area  482  expanding upward from the bottom portion of display  112 . Speech input interface  484  can be displayed in notification area  482  upon receipt of an indication to listen for speech input, and the interface can be animated to slide upward from the bottom edge of the viewing area of display  112  as shown.  FIG. 4B  illustrates speech input interface  484  after sliding upward into view. Speech input interface  484  can be configured to occupy a minimal amount of space at the bottom of display  112  to avoid significantly interfering with video  480 . In response to receiving the indication to listen for speech input, readiness confirmation  486  can be displayed. Readiness confirmation  486  can include a microphone symbol as shown, or can include any other image, icon, animation, or symbol to convey that the system (e.g., one or more elements of system  100 ) is ready to capture speech input from the user. 
     As the user begins to speak, listening confirmation  487  shown in  FIG. 4C  can be displayed to confirm that the system is capturing the speech input. In some examples, listening confirmation  487  can be displayed in response to receiving speech input (e.g., capturing speech). In other examples, readiness confirmation  486  can be displayed for a predetermined amount of time (e.g., 500 milliseconds, 1 second, 3 seconds, etc.) after which listening confirmation  487  can be displayed. Listening confirmation  487  can include a waveform symbol as shown, or can include an active waveform animation that moves (e.g., changes frequency) in response to user speech. In other examples, listening confirmation  487  can include any other image, icon, animation, or symbol to convey that the system is capturing speech input from the user. 
     Upon detecting that the user has finished speaking (e.g., based on a pause, speech interpretation indicating the end of a query, or any other endpoint detection method), processing confirmation  488  shown in  FIG. 4D  can be displayed to confirm that the system finished capturing the speech input and is processing the speech input (e.g., interpreting the speech input, determining user intent, and/or executing the associated tasks). Processing confirmation  488  can include an hourglass symbol as shown, or can include any other image, icon, animation, or symbol to convey that the system is processing the captured speech input. In another example, processing confirmation  488  can include an animation of a spinning circle or a colored/glowing point moving around a circle. 
     After the captured speech input is interpreted as text (or in response to successfully converting the speech input to text), command receipt confirmation  490  and/or transcription  492  shown in  FIG. 4E  can be displayed to confirm that the system received and interpreted the speech input. Transcription  492  can include a transcription of the received speech input (e.g., “What sporting events are on right now?”). In some examples, transcription  492  can be animated to slide up from the bottom of display  112 , can be displayed momentarily in the position shown in  FIG. 4E  (e.g., a few seconds), and can then be slid up to the top of speech input interface  484  before disappearing from view (e.g., as though the text is scrolled up and eventually out of view). In other examples, a transcription may not be displayed, and the user&#39;s command or query can be processed and associated tasks can be executed without displaying a transcription (e.g., a simple channel change can be executed immediately without displaying a transcription of the user&#39;s speech). 
     In other examples, speech transcription can be performed in real-time as a user speaks. As words are transcribed, they can be displayed in speech input interface  484 . For example, the words can be displayed alongside listening confirmation  487 . After the user finishes speaking, command receipt confirmation  490  can be displayed briefly before executing the tasks associated with the user&#39;s command. 
     Moreover, in other examples, command receipt confirmation  490  can convey information about received and understood commands. For example, for a simple request to change to another channel, a logo or number associated with the channel can briefly be displayed as command receipt confirmation  490  (e.g., for a few seconds) as the channel is changed. In another example, for a request to pause a video (e.g., video  480 ), a pause symbol (e.g., two vertical, parallel bars) can be displayed as command receipt confirmation  490 . The pause symbol can remain on the display until, for example, the user performs another action (e.g., issuing a play command to resume playback). Symbols, logos, animations, or the like can likewise be displayed for any other command (e.g., symbols for rewind, fast forward, stop, play, etc.). Command receipt confirmation  490  can thus be used to convey command-specific information. 
     In some examples, speech input interface  484  can be hidden after receipt of a user query or command. For example, speech input interface  484  can be animated as sliding downward until it is out of view of the bottom of display  112 . Speech input interface  484  can be hidden in instances where further information need not be displayed to the user. For example, for common or straightforward commands (e.g., change to channel ten, change to the sports channel, play, pause, fast forward, rewind, etc.), speech input interface  484  can be hidden immediately after confirming command receipt, and the associated task or tasks can be performed immediately. Although various examples herein illustrate and describe an interface at a bottom or top edge of a display, it should be appreciated that any of the various interfaces can be positioned in other locations around a display. For example, speech input interface  484  can emerge from a side edge of display  112 , in the center of display  112 , in a corner of display  112 , or the like. Similarly, the various other interface examples described herein can be arranged in a variety of different orientations in a variety of different locations on a display. Moreover, although various interfaces described herein are illustrated as opaque, any of the various interfaces can be transparent or otherwise allow an image (blurred or whole) to be viewed through the interface (e.g., overlaying interface content on media content without completely obscuring the underlying media content). 
     In other examples, the result of a query can be displayed within speech input interface  484  or in a different interface.  FIG. 5  illustrates exemplary media content interface  510  over video  480  with an exemplary result of the transcribed query of  FIG. 4E . In some examples, the result of a virtual assistant query can include media content instead of or in addition to textual content. For example, the result of a virtual assistant query can include television programs, videos, music, or the like. Some results can include media immediately available for playback, while other results can include media that may be available for purchase or the like. 
     As shown, media content interface  510  can be a larger size than speech input interface  484 . In one example, speech input interface  484  can be of a smaller first size to accommodate speech input information, while media content interface  510  can be of a larger second size to accommodate query results, which can include text, still images, and moving images. In this manner, interfaces for conveying virtual assistant information can scale in size according to the content that is to be conveyed, thereby limiting screen real estate intrusion (e.g., minimally blocking other content, such as video  480 ). 
     As illustrated, media content interface  510  can include (as a result of a virtual assistant query) selectable video links  512 , selectable text links  514 , and additional content link  513 . In some examples, links can be selected by navigating focus, a cursor, or the like to a particular element and selecting it using a remote control (e.g., remote control  106 ). In other examples, links can be selected using voice commands to the virtual assistant (e.g., watch that soccer game, show details about the basketball game, etc.). Selectable video links  512  can include still or moving images and can be selectable to cause playback of the associated video. In one example, selectable video link  512  can include a playing video of the associated video content. In another example, selectable video link  512  can include a live feed of a television channel. For example, selectable video link  512  can include a live feed of a soccer game on a sports channel as a result of a virtual assistant query about sporting events currently on television. Selectable video link  512  can also include any other video, animation, image, or the like (e.g., a triangular play symbol). Moreover, link  512  can link to any type of media content, such as a movie, television show, sporting event, music, or the like. 
     Selectable text links  514  can include textual content associated with selectable video links  512  or can include textual representations of results of a virtual assistant query. In one example, selectable text links  514  can include a description of media resulting from a virtual assistant query. For instance, selectable text link  514  can include the name of a television program, title of a movie, description of a sporting event, television channel name or number, or the like. In one example, selection of text link  514  can cause playback of the associated media content. In another example, selection of text link  514  can provide additional detailed information about the media content or other virtual assistant query result. Additional content link  513  can link to and cause display of additional results of a virtual assistant query. 
     Although certain media content examples are shown in  FIG. 5 , it should be appreciated that any type of media content can be included as a result of a virtual assistant query for media content. For example, media content that can be returned as a result of a virtual assistant can include videos, television programs, music, television channels, or the like. In addition, in some examples, categorical filters can be provided in any of the interfaces herein to allow users to filter search or query results or displayed media options. For example, selectable filters can be provided to filter results by type (e.g., movies, music albums, books, television shows, etc.). In other examples, selectable filters can include genre or content descriptors (e.g., comedy, interview, specific program, etc.). In still other examples, selectable filters can include times (e.g., this week, last week, last year, etc.). It should be appreciated that filters can be provided in any of the various interfaces described herein to allow users to filter results based on categories relevant to the displayed content (e.g., filter by type where media results have various types, filter by genre where media results have various genres, filter by times where media results have various times, etc.). 
     In other examples, media content interface  510  can include a paraphrase of a query in addition to media content results. For example, a paraphrase of the user&#39;s query can be displayed above the media content results (above selectable video links  512  and selectable text links  514 ). In the example of  FIG. 5 , such a paraphrase of the user&#39;s query can include the following: “Here are some sporting events that are on right now.” Other text introducing the media content results can likewise be displayed. 
     In some examples, after displaying any interface, including interface  510 , a user can initiate capture of additional speech input with a new query (that may or may not be related to previous queries). User queries can include commands to act on interface elements, such as a command to select a video link  512 . In another example, user speech can include a query associated with displayed content, such as displayed menu information, a playing video (e.g., video  480 ), or the like. A response can be determined for such a query based on the information shown (e.g., displayed text) and/or metadata associated with displayed content (e.g., metadata associated with a playing video). For example, a user can ask about a media result shown in an interface (e.g., interface  510 ), and metadata associated with that media can be searched to provide an answer or result. Such an answer or result can then be provided in another interface or within the same interface (e.g., in any of the interfaces discussed herein). 
     As noted above, in one example, additional detailed information about media content can be displayed in response to selection of a text link  514 .  FIGS. 6A and 6B  illustrate exemplary media detail interface  618  over video  480  after selection of a text link  514 . In one example, in providing addition detailed information, media content interface  510  can be expanded into media detail interface  618  as illustrated by interface expansion transition  616  of  FIG. 6A . In particular, as shown in  FIG. 6A , selected content can be expanded in size and additional textual information can be provided by expanding the interface upward on display  112  to occupy more of the screen real estate. The interface can be expanded to accommodate the additional detailed information desired by the user. In this manner, the size of the interface can scale with the amount of content desired by the user, thereby minimizing screen real estate intrusion while still conveying the desired content. 
       FIG. 6B  illustrates detail interface  618  after full expansion. As shown, detail interface  618  can be of a larger size than either media content interface  510  or speech input interface  484  to accommodate the desired detailed information. Detail interface  618  can include detailed media information  622 , which can include a variety of detailed information associated with media content or another result of a virtual assistant query. Detailed media information  622  can include a program title, program description, program air time, channel, episode synopsis, movie description, actor names, character names, sporting event participants, producer names, director names, or any other detailed information associated with a result of a virtual assistant query. 
     In one example, detail interface  618  can include selectable video link  620  (or another link to play media content), which can include a larger version of a corresponding selectable video link  512 . As such, selectable video link  620  can include still or moving images and can be selectable to cause playback of the associated video. Selectable video link  620  can include a playing video of the associated video content, a live feed of a television channel (e.g., a live feed of a soccer game on a sports channel), or the like. Selectable video link  620  can also include any other video, animation, image, or the like (e.g., a triangular play symbol). 
     As noted above, a video can be played in response to selection of a video link, such as video link  620  or video links  512 .  FIGS. 7A and 7B  illustrate an exemplary media transition interface that can be displayed in response to selection of a video link (or other command to play video content). As illustrated, video  480  can be replaced with video  726 . In one example, video  726  can be expanded to overtake or cover video  480  as shown by interface expansion transition  724  in  FIG. 7A . The result of the transition can include expanded media interface  728  of  FIG. 7B . As with other interfaces, the size of expanded media interface  728  can be sufficient to provide the user with the desired information; here, that can include expanding to fill display  112 . Expanded media interface  728  can thus be larger than any other interface as the desired information can include playing media content across the entire display. Although not shown, in some examples, descriptive information can briefly be overlaid on video  726  (e.g., along the bottom of the screen). Such descriptive information can include the name of the associated program, video, channel, or the like. The descriptive information can then be hidden from view (e.g., after a few seconds). 
       FIGS. 8A and 8B  illustrate exemplary speech input interface  836  that can be shown on display  112  to convey speech input information to a user. In one example, speech input interface  836  can be shown over menu  830 . Menu  830  can include various media options  832 , and speech input interface  836  can similarly be displayed over any other type of menu (e.g., content menus, category menus, control menus, setup menus, program menus, etc.). In one example, speech input interface  836  can be configured to occupy a relatively large amount of screen real estate of display  112 . For example, speech input interface  836  can be larger than speech input interface  484  discussed above. In one example, the size of speech input interface to use (e.g., either the smaller interface  484  or the larger interface  836 ) can be determined based on the background content. When the background content includes a moving image, for example, a small size speech input interface can be displayed (e.g., interface  484 ). On the other hand, when the background content includes a still image (e.g., a paused video) or a menu, for example, a large size speech input interface can be displayed (e.g., interface  836 ). In this manner, if a user is watching video content, a smaller speech input interface can be displayed that only minimally intrudes on the screen real estate; whereas if a user is navigating a menu or viewing a paused video or other still image, a larger speech input interface can be displayed that can convey more information or have a more profound effect by occupying additional real estate. Other interfaces discussed herein can likewise be sized differently based on background content. 
     As discussed above, a virtual assistant can be triggered to listen for speech input containing a command or query (or to commence recording of speech input for subsequent processing or commence processing in real-time of speech input). Listening can be triggered in a variety of ways, including indications such as a user pressing a physical button on remote control  106 , a user pressing a physical button on user device  102 , a user pressing a virtual button on user device  102 , a user uttering a trigger phrase that is recognizable by an always-listening device (e.g., uttering “Hey Assistant” to commence listening for a command), a user performing a gesture detectable by a sensor (e.g., motioning in front of a camera), or the like. In another example, a user can press and hold a physical button on remote control  106  or user device  102  to initiate listening. In still other examples, a user can press and hold a physical button on remote control  106  or user device  102  while speaking a query or command, and can release the button when finished. Various other indications can likewise be received to initiate receipt of speech input from the user. 
     In response to receiving an indication to listen for speech input, speech input interface  836  can be displayed over menu  830 .  FIG. 8A  illustrates large notification area  834  expanding upward from the bottom portion of display  112 . Speech input interface  836  can be displayed in large notification area  834  upon receipt of an indication to listen for speech input, and the interface can be animated to slide upward from the bottom edge of the viewing area of display  112  as shown. In some examples, a background menu, paused video, still image, or other background content can be contracted and/or moved backward in the z direction (as if further into display  112 ) as an overlapping interface is displayed (e.g., in response to receiving an indication to listen for speech input). Background interface contraction transition  831  and the associated inward-pointing arrows illustrate how background content (e.g., menu  830 ) can be contracted—shrinking the displayed menu, images, text, etc. This can provide a visual effect of the background content appearing to move away from the user, out of the way of a new foreground interface (e.g., interface  836 ).  FIG. 8B  illustrates contracted background interface  833 , including a contracted (shrunken) version of menu  830 . As shown, contracted background interface  833  (which can include a border) can appear further from the user while ceding focus to the foreground interface  836 . Background content in any of the other examples discussed herein (including background video content) can similarly be contracted and/or moved backward in the z direction as overlapping interfaces are displayed. 
       FIG. 8B  illustrates speech input interface  836  after sliding upward into view. As discussed above, various confirmations can be displayed while receiving speech input. Although not shown here, speech input interface  836  can similarly display larger versions of readiness confirmation  486 , listening confirmation  487 , and/or processing confirmation  488  in a similar manner as speech input interface  484  discussed above with reference to  FIGS. 4B, 4C, and 4D , respectively. 
     As shown in  FIG. 8B , command receipt confirmation  838  can be shown (as with the smaller sized command receipt confirmation  490  discussed above) to confirm that the system received and interpreted the speech input. Transcription  840  can also be shown and can include a transcription of the received speech input (e.g., “What&#39;s the weather in New York?”). In some examples, transcription  840  can be animated to slide up from the bottom of display  112 , can be displayed momentarily in the position shown in  FIG. 8B  (e.g., a few seconds), and can then be slid up to the top of speech input interface  836  before disappearing from view (e.g., as though the text is scrolled up and eventually out of view). In other examples, a transcription may not be displayed, and the user&#39;s command or query can be processed and associated tasks can be executed without displaying a transcription. 
     In other examples, speech transcription can be performed in real-time as a user speaks. As words are transcribed, they can be displayed in speech input interface  836 . For example, the words can be displayed alongside a larger version of listening confirmation  487  discussed above. After the user finishes speaking, command receipt confirmation  838  can be displayed briefly before executing the tasks associated with the user&#39;s command. 
     Moreover, in other examples, command receipt confirmation  838  can convey information about received and understood commands. For example, for a simple request to tune to a particular channel, a logo or number associated with the channel can briefly be displayed as command receipt confirmation  838  (e.g., for a few seconds) as the channel is tuned. In another example, for a request to select a displayed menu item (e.g., one of media options  832 ), an image associated with the selected menu item can be displayed as command receipt confirmation  838 . Command receipt confirmation  838  can thus be used to convey command-specific information. 
     In some examples, speech input interface  836  can be hidden after receipt of a user query or command. For example, speech input interface  836  can be animated as sliding downward until it is out of view of the bottom of display  112 . Speech input interface  836  can be hidden in instances where further information need not be displayed to the user. For example, for common or straightforward commands (e.g., change to channel ten, change to the sports channel, play that movie, etc.), speech input interface  836  can be hidden immediately after confirming command receipt, and the associated task or tasks can be performed immediately. 
     In other examples, the result of a query can be displayed within speech input interface  836  or in a different interface.  FIG. 9  illustrates exemplary virtual assistant result interface  942  over menu  830  (specifically over contracted background interface  833 ) with an exemplary result of the transcribed query of  FIG. 8B . In some examples, the result of a virtual assistant query can include a textual answer, such as text answer  944 . The result of a virtual assistant query can also include media content that addresses a user&#39;s query, such as the content associated with selectable video link  946  and purchase link  948 . In particular, in this example, a user can ask for weather information for the specified location of New York. The virtual assistant can provide text answer  944  directly answering the user&#39;s query (e.g., indicating that the weather looks good and providing temperature information). Instead of or in addition to text answer  944 , the virtual assistant can provide selectable video link  946  along with purchase link  948  and the associated text. The media associated with links  946  and  948  can also provide a response to the user&#39;s query. Here, the media associated with links  946  and  948  can include a ten-minute clip of weather information at the specified location—specifically, the five-day forecast for New York from a television channel called the Weather Forecast Channel. 
     In one example, the clip addressing the user&#39;s query can include a time-cued portion of previously-aired content (that may be available from a recording or from a streaming service). The virtual assistant can, in one example, identify such content based on the user intent associated with the speech input and by searching detailed information about available media content (e.g., including metadata for recorded programs along with detailed timing information or detailed information about streaming content). In some examples, a user may not have access to or may not have a subscription for certain content. In such instances, content can be offered for purchase, such as via purchase link  948 . The cost of the content can be automatically withdrawn from a user account or charged to a user account upon selection of purchase link  948  or video link  946 . 
       FIG. 10  illustrates exemplary process  1000  for controlling television interactions using a virtual assistant and displaying associated information using different interfaces. At block  1002 , speech input can be received from a user. For example, speech input can be received at user device  102  or remote control  106  of system  100 . In some examples, the speech input (or a data representation of some or all of the speech input) can be transmitted to and received by server system  110  and/or television set-top box  104 . In response to a user initiating receipt of speech input, various notifications can be displayed on a display (such as display  112 ). For example, a readiness confirmation, listening confirmation, processing confirmation, and/or command receipt confirmation can be displayed as discussed above with reference to  FIGS. 4A-4E . In addition, received user speech input can be transcribed, and a transcription can be displayed. 
     Referring again to process  1000  of  FIG. 10 , at block  1004 , media content can be determined based on the speech input. For example, media content that addresses a user query directed at a virtual assistant can be determined (e.g., by searching available media content or the like). For instance, media content can be determined related to transcription  492  of  FIG. 4E  (“What sporting events are on right now?”). Such media content can include live sporting events being shown on one or more television channels available to the user for viewing. 
     At block  1006 , a first user interface of a first size with selectable media links can be displayed. For example, media content interface  510  with selectable video links  512  and selectable text links  514  can be displayed on display  112  as shown in  FIG. 5 . As discussed above, media content interface  510  can be of a smaller size to avoid interfering with background video content. 
     At block  1008 , a selection of one of the links can be received. For example, selection of one of links  512  and/or links  514  can be received. At block  1010 , a second user interface of a larger second size with media content associated with the selection can be displayed. For example, detail interface  618  with selectable video link  620  and detailed media information  622  can be displayed as shown in  FIG. 6B . As discussed above, detail interface  618  can be of a larger size to convey the desired additional detailed media information. Similarly, upon selection of video link  620 , expanded media interface  728  can be displayed with video  726  as shown in  FIG. 7B . As discussed above, expanded media interface  728  can be of a larger size still to provide the desired media content to the user. In this manner, the various interfaces discussed herein can be sized to accommodate desired content (including expanding into larger sized interfaces or contracting down to smaller sized interfaces) while otherwise occupying limited screen real estate. Process  1000  can thus be used to control television interactions using a virtual assistant and display associated information using different interfaces. 
     In another example, a larger size interface can be displayed over a control menu than over background video content. For example, speech input interface  836  can be displayed over menu  830  as shown in  FIG. 8B , and assistant result interface  942  can be displayed over menu  830  as shown in  FIG. 9 , whereas smaller media content interface  510  can be displayed over video  480  as shown in  FIG. 5 . In this manner, the size of an interface (e.g., the amount of screen real estate occupied by an interface) can be determined, at least in part, by the type of background content. 
       FIG. 11  illustrates exemplary television media content on user device  102 , which can include a mobile telephone, tablet computer, remote control, or the like with touchscreen  246  (or another display).  FIG. 11  illustrates interface  1150  including a TV listing with multiple television programs  1152 . Interface  1150  can, for example, correspond to a particular application on user device  102 , such as a television control application, television content listing application, Internet application, or the like. In some examples, content shown on user device  102  (e.g., on touchscreen  246 ) can be used to determine user intent from speech input relating to that content, and the user intent can be used to cause playback or display of content on another device and display (e.g., on television set-top box  104  and display  112  and/or speakers  111 ). For example, content shown in interface  1150  on user device  102  can be used to disambiguate user requests and determine user intent from speech input, and the determined user intent can then be used to play or display media via television set-top box  104 . 
       FIG. 12  illustrates exemplary television control using a virtual assistant.  FIG. 12  illustrates interface  1254 , which can include a virtual assistant interface formatted as a conversational dialog between the assistant and the user. For example, interface  1254  can include assistant greeting  1256  prompting the user to make a request. Subsequently-received user speech can then be transcribed, such as transcribed user speech  1258 , showing the back and forth conversation. In some examples, interface  1254  can appear on user device  102  in response to a trigger to initiate receipt of speech input (triggers such as button presses, key phrases, or the like). 
     In one example, a user request to play content via television set-top box  104  (e.g., on display  112  and speakers  111 ) can include an ambiguous reference to something shown on user device  102 . Transcribed user speech  1258 , for example, includes a reference to “that” soccer game (“Put on that soccer game.”). The particular soccer game desired can be unclear from the speech input alone. In some examples, however, the content shown on user device  102  can be used to disambiguate user requests and determine user intent. In one example, content shown on user device  102  prior to the user making the request (e.g., prior to interface  1254  appearing on touchscreen  246 ) can be used to determine user intent (as can content appearing within interface  1254 , such as previous queries and results). In the illustrated example, the content shown in interface  1150  of  FIG. 11  can be used to determine the user intent from the command to put on “that” soccer game. The TV listing of television programs  1152  includes a variety of different programs, one of which is titled “Soccer” appearing on Channel 5. The appearance of the soccer listing can be used to determine the user&#39;s intent from uttering “that” soccer game. In particular, the user&#39;s reference to “that” soccer game can be resolved to the soccer program appearing in the TV listing of interface  1150 . Accordingly, the virtual assistant can cause playback of that particular soccer game that the user desired (e.g., by causing television set-top box  104  to tune to the appropriate channel and show the game). 
     In other examples, a user can reference television programs shown in interface  1150  in a variety of other ways (e.g., the show on channel eight, the news, the drama show, the advertisement, the first show, etc.), and user intent can similarly be determined based on displayed content. It should be appreciated that metadata associated with displayed content (e.g., TV program descriptions), fuzzy matching techniques, synonym matching, and the like can further be used in conjunction with displayed content to determine user intent. For example, the term “advertisement” can be matched to the description “paid programming” (e.g., using synonyms and/or fuzzy matching techniques) to determine user intent from a request to show “the advertisement.” Likewise, the description of a particular TV program can be analyzed in determining user intent. For example, the term “law” could be identified in the detailed description of a courtroom drama, and the user intent can be determined from a user request to watch the “law” show based on the detailed description associated with the content shown in interface  1150 . Displayed content and data associated with it can thus be used to disambiguate user requests and determine user intent. 
       FIG. 13  illustrates exemplary picture and video content on user device  102 , which can include a mobile telephone, tablet computer, remote control, or the like with touchscreen  246  (or another display).  FIG. 13  illustrates interface  1360  including a listing of photos and videos. Interface  1360  can, for example, correspond to a particular application on user device  102 , such as a media content application, file navigation application, storage application, remote storage management application, camera application, or the like. As shown, interface  1360  can include video  1362 , photo album  1364  (e.g., a group of multiple photos), and photos  1366 . As discussed above with reference to  FIG. 11  and  FIG. 12 , content shown on user device  102  can be used to determine user intent from speech input relating to that content. The user intent can then be used to cause playback or display of content on another device and display (e.g., on television set-top box  104  and display  112  and/or speakers  111 ). For example, content shown in interface  1360  on user device  102  can be used to disambiguate user requests and to determine user intent from speech input, and the determined user intent can then be used to play or display media via television set-top box  104 . 
       FIG. 14  illustrates exemplary media display control using a virtual assistant.  FIG. 14  illustrates interface  1254 , which can include a virtual assistant interface formatted as a conversational dialog between the assistant and the user. As shown, interface  1254  can include assistant greeting  1256  prompting the user to make a request. Within the dialog, user speech can then be transcribed as shown by the examples of  FIG. 14 . In some examples, interface  1254  can appear on user device  102  in response to a trigger to initiate receipt of speech input (triggers such as button presses, key phrases, or the like). 
     In one example, a user request to play media content or display media via television set-top box  104  (e.g., on display  112  and speakers  111 ) can include an ambiguous reference to something shown on user device  102 . Transcribed user speech  1468 , for example, includes a reference to “that” video (“Show that video.”). The particular video referenced can be unclear from the speech input alone. In some examples, however, the content shown on user device  102  can be used to disambiguate user requests and determine user intent. In one example, content shown on user device  102  prior to the user making the request (e.g., prior to interface  1254  appearing on touchscreen  246 ) can be used to determine user intent (as can content appearing within interface  1254 , such as previous queries and results). In the example of user speech  1468 , the content shown in interface  1360  of  FIG. 13  can be used to determine the user intent from the command to show “that” video. The listing of photos and videos in interface  1360  includes a variety of different photos and a video, including video  1362 , photo album  1354 , and photos  1366 . As only one video appears in interface  1360  (e.g., video  1362 ), the appearance of video  1362  in interface  1360  can be used to determine the user&#39;s intent from uttering “that” video. In particular, the user&#39;s reference to “that” video can be resolved to video  1362  (titled “Graduation Video”) appearing in interface  1360 . Accordingly, the virtual assistant can cause playback of video  1362  (e.g., by causing video  1362  to be transmitted to television set-top box  104  from user device  102  or remote storage and causing playback to commence). 
     In another example, transcribed user speech  1470  includes a reference to “that” album (“Play a slideshow of that album.”). The particular album referenced can be unclear from the speech input alone. The content shown on user device  102  can again be used to disambiguate the user request. In particular, the content shown in interface  1360  of  FIG. 13  can be used to determine the user intent from the command to play a slideshow of “that” album. The listing of photos and videos in interface  1360  includes photo album  1354 . The appearance of photo album  1364  in interface  1360  can be used to determine the user&#39;s intent from uttering “that” album. In particular, the user&#39;s reference to “that” album can be resolved to photo album  1364  (titled “Graduation Album”) appearing in interface  1360 . In response to user speech  1470 , therefore, the virtual assistant can cause a slideshow to be displayed including the photos from photo album  1364  (e.g., by causing the photos of photo album  1364  to be transmitted to television set-top box  104  from user device  102  or remote storage and causing a slideshow of the photos to commence). 
     In yet another example, transcribed user speech  1472  includes a reference to the “last” photo (“Display the last photo on the kitchen television.”). The particular photo referenced can be unclear from the speech input alone. The content shown on user device  102  can again be used to disambiguate the user request. In particular, the content shown in interface  1360  of  FIG. 13  can be used to determine the user intent from the command to display the “last” photo. The listing of photos and videos in interface  1360  includes two individual photos  1366 . The appearance of photos  1366  in interface  1360 —and particularly the order of appearance of photos  1366  within the interface—can be used to determine the user&#39;s intent from utter the “last” photo. In particular, the user&#39;s reference to the “last” photo can be resolved to photo  1366  appearing at the bottom of interface  1360  (dated Jun. 21, 2014). In response to user speech  1472 , therefore, the virtual assistant can cause the last photo  1366  shown in interface  1360  to be displayed (e.g., by causing the last photo  1366  to be transmitted to television set-top box  104  from user device  102  or remote storage and causing the photo to be displayed). 
     In other examples, a user can reference media content shown in interface  1360  in a variety of other ways (e.g., the last couple of photos, all of the videos, all of the photos, the graduation album, the graduation video, the photo from June 21st, etc.), and user intent can similarly be determined based on displayed content. It should be appreciated that metadata associated with displayed content (e.g., timestamps, location information, titles, descriptions, etc.), fuzzy matching techniques, synonym matching, and the like can further be used in conjunction with displayed content to determine user intent. Displayed content and data associated with it can thus be used to disambiguate user requests and determine user intent. 
     It should be understood that any type of displayed content in any application interface of any application can be used in determining user intent. For example, images displayed on a webpage in an Internet browser application can be referenced in speech input, and the displayed webpage content can be analyzed to identify the desired images. Similarly, a music track in a list of music in a music application can be referenced in speech input by title, genre, artist, band name, or the like, and the displayed content in the music application (and associated metadata in some examples) can be used to determine user intent from the speech input. As discussed above, the determined user intent can then be used to cause media display or playback via another device, such as via television set-top box  104 . 
     In some examples, user identification, user authentication, and/or device authentication can be employed to determine whether media control can be permitted, determine media content available for display, determine access permissions, and the like. For example, it can be determined whether a particular user device (e.g., user device  102 ) is authorized to control media on, for example, television set-top box  104 . A user device can be authorized based on a registration, pairing, trust determination, passcode, security question, system setup, or the like. In response to determining that a particular user device is authorized, attempts to control television set-top box  104  can be permitted (e.g., media content can be played in response to determining that a requesting device is authorized to control media). In contrast, media control commands or requests from unauthorized devices can be ignored, and/or users of such devices can be prompted to register their devices for use in controlling a particular television set-top box  104 . 
     In another example, a particular user can be identified, and personal data associated with the user can be used to determine user intent of requests. For example, a user can be identified based on speech input, such as by voice recognition using a voiceprint of the user. In some examples, users can utter a particular phrase that is analyzed for voice recognition. In other examples, speech input requests directed to the virtual assistant can be analyzed using voice recognition to identify the speaker. A user can also be identified based on the source of the speech input sample (e.g., on a user&#39;s personal device  102 ). A user can also be identified based on passwords, passcodes, menu selection, or the like. Speech input received from the user can then be interpreted based on personal data of the identified user. For example, user intent of speech input can be determined based on previous requests from the user, media content owned by the user, media content stored on the user&#39;s device, user preferences, user settings, user demographics (e.g., languages spoken, etc.), user profile information, user payment methods, or a variety of other personal information associated with a particular identified user. For instance, speech input referencing a favorites list or the like can be disambiguated based on personal data, and the user&#39;s personal favorites list can be identified. Speech input referencing “my” photos, “my” videos, “my” shows, or the like can likewise be disambiguated based on user identification to correctly identify photos, videos, and shows associated with the identified user (e.g., photos stored on a personal user device or the like). Similarly, speech input requesting purchase of content can be disambiguated to determine that the identified user&#39;s payment method should be charged for the purchase (as opposed to another user&#39;s payment method). 
     In some examples, user authentication can be used to determine whether a user is allowed to access media content, purchase media content, or the like. For example, voice recognition can be used to verify the identity of a particular user (e.g., using their voiceprint) to permit the user to make purchases using the user&#39;s payment method. Similarly, passwords or the like can be used to authenticate the user to permit purchases. In another example, voice recognition can be used to verify the identity of a particular user to determine whether the user is allowed to watch a particular program (e.g., a program having a particular parental guideline rating, a movie having a particular age suitability rating, or the like). For instance, a child&#39;s request for a particular program can be denied based on voice recognition indicating that the requester is not an authorized user able to view such content (e.g., a parent). In other examples, voice recognition can be used to determine whether users have access to particular subscription content (e.g., restricting access to premium channel content based on voice recognition). In some examples, users can utter a particular phrase that is analyzed for voice recognition. In other examples, speech input requests directed to the virtual assistant can be analyzed using voice recognition to identify the speaker. Certain media content can thus be played in response to first determining that a user is authorized in any of a variety of ways. 
       FIG. 15  illustrates exemplary virtual assistant interactions with results on a mobile user device and a media display device. In some examples, a virtual assistant can provide information and control on more than one device, such as on user device  102  as well as on television set-top box  104 . Moreover, in some examples, the same virtual assistant interface used for control and information on user device  102  can be used to issue requests for controlling media on television set-top box  104 . As such, the virtual assistant system can determine whether to display results or execute tasks on user device  102  or on television set-top box  104 . In some examples, when employing user device  102  to control television set-top box  104 , virtual assistant interface intrusion on a display associated with television set-top box  104  (e.g., display  112 ) can be minimized by displaying information on user device  102  (e.g., on touchscreen  246 ). In other examples, virtual assistant information can be displayed on display  112  alone, or virtual assistant information can be displayed on both user device  102  and display  112 . 
     In some examples, a determination can be made as to whether results of a virtual assistant query should be displayed on user device  102  directly or on display  112  associated with television set-top box  104 . In one example, in response to determining that the user intent of a query includes a request for information, an informational response can be displayed on user device  102 . In another example, in response to determining that the user intent of a query includes a request to play media content, media content responsive to the query can be played via television set-top box  104 . 
       FIG. 15  illustrates virtual assistant interface  1254  with a conversational dialog example between a virtual assistant and a user. Assistant greeting  1256  can prompt the user to make a request. In the first query, transcribed user speech  1574  (which can also be typed or entered in other ways) includes a request for an informational answer associated with displayed media content. In particular, transcribed user speech  1574  inquires who is playing in a soccer game that may be, for example, shown on an interface on user device  102  (e.g., listed in interface  1150  of  FIG. 11 ) or on display  112  (e.g., listed in interface  510  of  FIG. 5  or playing as video  726  on display  112  of  FIG. 7B ). The user intent of transcribed user speech  1574  can be determined based on displayed media content. For example, the particular soccer game in question can be identified based on content shown on user device  102  or on display  112 . The user intent of transcribed user speech  1574  can include obtaining an informational answer detailing the teams playing in the soccer game identified based on the displayed content. In response to determining that the user intent includes a request for an informational answer, the system can determine to display the response within interface  1254  in  FIG. 15  (as opposed to on display  112 ). The response to the query can, in some examples, be determined based on metadata associated with the displayed content (e.g., based on a description of the soccer game in a television listing). As shown, assistant response  1576  can thus be displayed on touchscreen  246  of user device  102  in interface  1254 , identifying teams Alpha and Zeta as playing in the game. Accordingly, in some examples, an informational response can be displayed within interface  1254  on user device  102  based on determining that a query includes an informational request. 
     The second query in interface  1254 , however, includes a media request. In particular, transcribed user speech  1578  requests changing displayed media content to “the game.” The user intent of transcribed user speech  1578  can be determined based on displayed content (e.g., to identify which game the user desires), such as a game listed in interface  510  of  FIG. 5 , a game listed in interface  1150  of  FIG. 11 , a game referenced in previous queries (e.g., in transcribed user speech  1574 ), or the like. The user intent of transcribed user speech  1578  can thus include changing displayed content to a particular game—here, the soccer game with teams Alpha and Zeta. In one example, the game can be displayed on user device  102 . In other examples, however, based on the query including a request to play media content, the game can be shown via television set-top box  104 . In particular, in response to determining that the user intent includes a request to play media content, the system can determine to display the media content result via television set-top box  104  on display  112  (as opposed to within interface  1254  in  FIG. 15 ). In some examples, a response or paraphrase confirming the virtual assistant&#39;s intended action can be shown in interface  1254  or on display  112  (e.g., “Changing to the soccer game.”). 
       FIG. 16  illustrates exemplary virtual assistant interactions with media results on a media display device and a mobile user device. In some examples, a virtual assistant can provide access to media on both user device  102  and television set-top box  104 . Moreover, in some examples, the same virtual assistant interface used for media on user device  102  can be used to issue requests for media on television set-top box  104 . As such, the virtual assistant system can determine whether to display media results on user device  102  or on display  112  via television set-top box  104 . 
     In some examples, a determination can be made as to whether to display media on device  102  or on display  112  based on media result format, user preference, default settings, an express command in the request itself, or the like. For example, the format of a media result to a query can be used to determine on which device to display the media result by default (e.g., without specific instructions). A television program can be better suited for display on a television, a large format video can be better suited for display on a television, thumbnail photos can be better suited for display on a user device, small format web videos can be better suited for display on a user device, and various other media formats can be better suited for display on either a relatively large television screen or a relatively small user device display. Thus, in response to a determination that media content should be displayed on a particular display (e.g., based on media format), the media content can be displayed on that particular display by default. 
       FIG. 16  illustrates virtual assistant interface  1254  with examples of queries related to playing or displaying media content. Assistant greeting  1256  can prompt the user to make a request. In the first query, transcribed user speech  1680  includes a request to show a soccer game. As in the examples discussed above, the user intent of transcribed user speech  1680  can be determined based on displayed content (e.g., to identify which game the user desires), such as a game listed in interface  510  of  FIG. 5 , a game listed in interface  1150  of  FIG. 11 , a game referenced in previous queries, or the like. The user intent of transcribed user speech  1680  can thus include displaying a particular soccer game that may, for example, be aired on television. In response to determining that the user intent includes a request to display media that is formatted for television (e.g., a televised soccer game), the system can automatically determine to display the desired media on display  112  via television set-top box  104  (as opposed to on user device  102  itself). The virtual assistant system can then cause television set-top box  104  to tune to the soccer game and show it on display  112  (e.g., by executing the necessary tasks and/or sending the appropriate commands). 
     In the second query, however, transcribed user speech  1682  includes a request to show pictures of players of a team (e.g., pictures of “Team Alpha”). As in the examples discussed above, the user intent of transcribed user speech  1682  can be determined. The user intent of transcribed user speech  1682  can include performing a search (e.g., a web search) for pictures associated with “Team Alpha,” and displaying the resulting pictures. In response to determining that the user intent includes a request to display media that may be presented in thumbnail format, or media associated with a web search, or other non-specific media without a particular format, the system can automatically determine to display the desired media result on touchscreen  246  in interface  1254  of user device  102  (as opposed to displaying the resulting pictures on display  112  via television set-top box  104 ). For example, as shown, thumbnail photos  1684  can be displayed within interface  1254  on user device  102  in response to the user&#39;s query. The virtual assistant system can thus cause media of a certain format, or media that might be presented in a certain format (e.g., in a group of thumbnails), to be displayed on user device  102  by default. 
     It should be appreciated that, in some examples, the soccer game referenced in user speech  1680  can be shown on user device  102 , and photos  1684  can be shown on display  112  via television set-top box  104 . The default device for display, however, can be determined automatically based on media format, thereby simplifying media commands for the user. In other examples, the default device for displaying requested media content can be determined based on user preferences, default settings, the device used most recently to display content, voice recognition to identify a user and a device associated with that user, or the like. For example, a user can set a preference or a default configuration can be set to display certain types of content (e.g., videos, slideshows, television programs, etc.) on display  112  via television set-top box  104  and other types of content (e.g., thumbnails, photos, web videos, etc.) on touchscreen  246  of user device  102 . Similarly, preferences or default configurations can be set to respond to certain queries by displaying content on one device or the other. In another example, all content can be displayed on user device  102  unless the user instructs otherwise. 
     In still other examples, a user query can include a command to display content on a particular display. For example, user speech  1472  of  FIG. 14  includes a command to display a photo on the kitchen television. As a result, the system can cause display of the photo on a television display associated with the user&#39;s kitchen as opposed to displaying the photo on user device  102 . In other examples, a user can dictate which display device to use in a variety of other ways (e.g., on TV, on the big screen, in the living room, in the bedroom, on my tablet, on my phone, etc.). The display device to use for displaying media content results of virtual assistant queries can thus be determined in a variety of different ways. 
       FIG. 17  illustrates exemplary media device control based on proximity. In some examples, users may have multiple televisions and television set-top boxes within the same household or on the same network. For example, a household may have a television and set-top box set in the living room, another set in the bedroom, and another set in the kitchen. In other examples, multiple set-top boxes can be connected to the same network, such as a common network in an apartment or office building. Although users can pair, connect, or otherwise authorize remote control  106  and user device  102  for a particular set-top box to avoid unauthorized access, in other examples, remote controls and/or user devices can be used to control more than one set-top box. A user can, for example, use a single user device  102  to control a set-top box in the bedroom, in the living room, and in the kitchen. A user can also, for example, use a single user device  102  to control their own set-top box in their own apartment, as well as control a neighbor&#39;s set-top box in a neighbor&#39;s apartment (e.g., sharing content from user device  102  with the neighbor, such as showing a slideshow on the neighbor&#39;s TV of photos stored on user device  102 ). Because the user can use a single user device  102  to control multiple different set-top boxes, the system can determine to which set-top box of multiple set-top boxes to send commands. Likewise, because a household can have multiple remote controls  106  that can operate multiple set-top boxes, the system can similarly determine to which set-top box of multiple set-top boxes to send commands. 
     In one example, proximity of devices can be used to determine to which of multiple set-top boxes to send commands (or on which display to show requested media content). A proximity can be determined between a user device  102  or remote control  106  and each of multiple set-top boxes. Issued commands can then be sent to the nearest set-top box (or requested media content can be displayed on the nearest display). Proximity can be determined (or at least approximated) in any of a variety of ways, such as time-of-flight measurements (e.g., using radio frequency), Bluetooth LE, electronic ping signals, proximity sensors, sound travel measurements, or the like. Measured or approximated distances can then be compared, and the device with the shortest distance can be issued the command (e.g., the nearest set-top box). 
       FIG. 17  illustrates multi-device system  1790  including first set-top box  1792  with first display  1786  and second set-top box  1794  with second display  1788 . In one example, a user can issue a command from user device  102  to display media content (e.g., without necessarily specifying where or on which device). Distance  1795  to first set-top box  1792  and distance  1796  to second set-top box  1794  can then be determined (or approximated). As shown, distance  1796  can be greater than distance  1795 . Based on proximity, the command from user device  102  can be issued to first set-top box  1792  as the nearest device and the likeliest to match the user&#39;s intent. In some examples, a single remote control  106  can also be used to control more than one set-top box. The desired device for control at a given time can be determined based on proximity. Distance  1797  to second set-top box  1794  and distance  1798  to first set-top box  1792  can be determined (or approximated). As shown, distance  1798  can be greater than distance  1797 . Based on proximity, commands from remote control  106  can be issued to second set-top box  1794  as the nearest device and the likeliest to match the user&#39;s intent. Distance measurements can be refreshed regularly or with each command to accommodate, for example, a user moving to a different room and desiring to control a different device. 
     It should be understood that a user can specify a different device for a command, in some cases overriding proximity. For example, a list of available display devices can be displayed on user device  102  (e.g., listing first display  1786  and second display  1788  by setup name, designated room, or the like, or listing first set-top box  1792  and second set-top box  1794  by setup name, designated room, or the like). A user can select one of the devices from the list, and commands can then be sent to the selected device. Requests for media content issued at user device  102  can then be handled by displaying the desired media on the selected device. In other examples, users can speak the desired device as part of a spoken command (e.g., show the game on the kitchen television, change to the cartoon channel in the living room, etc.). 
     In still other examples, the default device for showing requested media content can be determined based on status information associated with a particular device. For example, it can be determined whether headphones (or a headset) are attached to user device  102 . In response to determining that headphones are attached to user device  102  when a request to display media content is received, the requested content can be displayed on user device  102  by default (e.g., assuming the user is consuming content on user device  102  and not on a television). In response to determining that headphones are not attached to user device  102  when a request to display media content is received, the requested content can be displayed on either user device  102  or on a television according to any of the various determination methods discussed herein. Other device status information can similarly be used to determine whether requested media content should be displayed on user device  102  or a set-top box  104 , such as ambient lighting around user device  102  or set-top box  104 , proximity of other devices to user device  102  or set-top box  104 , orientation of user device  102  (e.g., landscape orientation can be more likely to indicate desired viewing on user device  102 ), display status of set-top box  104  (e.g., in a sleep mode), time since the last interaction on a particular device, or any of a variety of other status indicators for user device  102  and/or set-top box  104 . 
       FIG. 18  illustrates exemplary process  1800  for controlling television interactions using a virtual assistant and multiple user devices. At block  1802 , speech input can be received from a user at a first device with a first display. For example, speech input can be received from a user at user device  102  or remote control  106  of system  100 . The first display can include touchscreen  246  of user device  102  or a display associated with remote control  106  in some examples. 
     At block  1804 , user intent can be determined from the speech input based on content displayed on the first display. For example, content such as television programs  1152  in interface  1150  of  FIG. 11  or photos and videos in interface  1360  of  FIG. 13  can be analyzed and used to determine user intent for speech input. In some examples, a user can refer to content shown on the first display in ambiguous ways, and the references can be disambiguated by analyzing the content shown on the first display to resolve the references (e.g., determining the user intent for “that” video, “that” album, “that” game, or the like), as discussed above with reference to  FIG. 12  and  FIG. 14 . 
     Referring again to process  1800  of  FIG. 18 , at block  1806 , media content can be determined based on the user intent. For example, a particular video, photo, photo album, television program, sporting event, music track, or the like can be identified based on the user intent. In the example of  FIG. 11  and  FIG. 12  discussed above, for instance, the particular soccer game shown on channel five can be identified based on the user intent referring to “that” soccer game shown in interface  1150  of  FIG. 11 . In the examples of  FIG. 13  and  FIG. 14  discussed above, the particular video  1362  titled “Graduation Video,” the particular photo album  1364  titled “Graduation Album,” or a particular photo  1366  can be identified based on the user intent determined from the speech input examples of  FIG. 14 . 
     Referring again to process  1800  of  FIG. 18 , at block  1808 , the media content can be played on a second device associated with a second display. For example, the determined media content can be played via television set-top box  104  on display  112  with speakers  111 . Playing the media content can include tuning to a particular television channel, playing a particular video, showing a slideshow of photos, displaying a particular photo, playing a particular audio track, or the like on television set-top box  104  or another device. 
     In some examples, a determination can be made as to whether responses to speech input directed to a virtual assistant should be displayed on a first display associated with a first device (e.g., user device  102 ) or a second display associated with a second device (e.g., television set-top box  104 ). For example, as discussed above with reference to  FIG. 15  and  FIG. 16 , informational answers or media content suited for display on a smaller screen can be displayed on user device  102 , while media responses or media content suited for display on a larger screen can be displayed on a display associated with set-top box  104 . As discussed above with reference to  FIG. 17 , in some examples, the distance between user device  102  and multiple set-top boxes can be used to determine on which set-top box to play media content or to which set-top box to issue commands. Various other determinations can similarly be made to provide a convenient and user-friendly experience where multiple devices may be interacting. 
     In some examples, as content shown on user device  102  can be used to inform interpretations of speech input as discussed above, content shown on display  112  can likewise be used to inform interpretations of speech input. In particular, content shown on a display associated with television set-top box  104  can be used along with metadata associated with that content to determine user intent from speech input, disambiguate user queries, respond to content-related queries, or the like. 
       FIG. 19  illustrates exemplary speech input interface  484  (described above) with a virtual assistant query about video  480  shown in the background. In some examples, user queries can include questions about media content shown on display  112 . For example, transcription  1916  includes a query requesting identification of actresses (“Who are those actresses?”). Content shown on display  112 —along with metadata or other descriptive information about the content—can be used to determine user intent from speech input relating to that content as well as to determine responses to queries (responses including both informational responses as well as media responses providing media selections to the user). For example, video  480 , a description of video  480 , a character and actor list for video  480 , rating information for video  480 , genre information for video  480 , and a variety of other descriptive information associated with video  480  can be used to disambiguate user requests and determine responses to user queries. Associated metadata can include, for example, identifying information for character  1910 , character  1912 , and character  1914  (e.g., character names along with the names of the actresses who play the characters). Metadata for any other content can similarly include a title, a description, a list of characters, a list of actors, a list of players, a genre, producer names, director names, or a display schedule associated with the content shown on the display or the viewing history of media content on the display (e.g., recently displayed media). 
     In one example, a user query directed to a virtual assistant can include an ambiguous reference to something shown on display  112 . Transcription  1916 , for example, includes a reference to “those” actresses (“Who are those actresses?”). The particular actresses the user is asking about can be unclear from the speech input alone. In some examples, however, the content shown on display  112  and associated metadata can be used to disambiguate user requests and determine user intent. In the illustrated example, the content shown on display  112  can be used to determine the user intent from the reference to “those” actresses. In one example, television set-top box  104  can identify playing content along with details associated with the content. In this instance, television set-top box  104  can identify the title of video  480  along with a variety of descriptive content. In other examples, a television show, sporting event, or other content can be shown that can be used in conjunction with associated metadata to determine user intent. In addition, in any of the various examples discussed herein, speech recognition results and intent determination can weight terms associated with displayed content higher than alternatives. For example, actor names for on-screen characters can be weighted higher while those actors appear on screen (or while a show is playing in which they appear), which can provide for accurate speech recognition and intent determination of likely user requests associated with displayed content. 
     In one example, a character and/or actor list associated with video  480  can be used to identify all or the most prominent actresses appearing in video  480 , which might include actresses  1910 ,  1912 , and  1914 . The identified actresses can be returned as a possible result (including fewer or additional actresses if the metadata resolution is coarse). In another example, however, metadata associated with video  480  can include an identification of which actors and actresses appear on screen at a given time, and the actresses appearing at the time of the query can be determined from that metadata (e.g., specifically identifying actresses  1910 ,  1912 , and  1914 ). In yet another example, a facial recognition application can be used to identify actresses  1910 ,  1912 , and  1914  from the images shown on display  112 . In still other examples, various other metadata associated with video  480  and various other recognition approaches can be used to identify the user&#39;s likely intent in referring to “those” actresses. 
     In some examples, the content shown on display  112  can change during submission of a query and determination of a response. As such, a viewing history of media content can be used to determine user intent and determine the response to a query. For example, should video  480  move to another view (e.g., with other characters) before a response to the query is generated, the result of the query can be determined based on the user&#39;s view at the time the query was spoken (e.g., the characters shown on screen at the time the user initiated the query). In some instances, a user might pause playing media to issue a query, and the content shown when paused can be used with associated metadata to determine user intent and a response to the query. 
     Given the determined user intent, a result of the query can be provided to the user.  FIG. 20  illustrates exemplary assistant response interface  2018  including assistant response  2020 , which can include the response determined from the query of transcription  1916  of  FIG. 19 . Assistant response  2020  can include, as shown, a listing of each actress&#39;s name and her associated character in video  480  (“Actress Jennifer Jones plays the character Blanche; actress Elizabeth Arnold plays the character Julia; and actress Whitney Davidson plays the character Melissa.”). The listed actresses and characters in response  2020  can correspond to characters  1910 ,  1912 , and  1914  appearing on display  112 . As noted above, in some examples, the content shown on display  112  can change during submission of a query and determination of a response. As such, response  2020  can include information about content or characters that may no longer appear on display  112 . 
     As with other interfaces displayed on display  112 , assistant response interface  2018  can occupy a minimal amount of screen real estate while providing sufficient space to convey the desired information. In some examples, as with other text displayed in interfaces on display  112 , assistant response  2020  can be scrolled up into the position shown in  FIG. 20  from the bottom of display  112 , displayed for a certain amount of time (e.g., a delay based on the length of the response), and scrolled up out of view. In other examples, interface  2018  can be slid downward out of view after a delay. 
       FIG. 21  and  FIG. 22  illustrate another example of determining user intent and responding to a query based on content shown on display  112 .  FIG. 21  illustrates exemplary speech input interface  484  with a virtual assistant query for media content associated with video  480 . In some examples, user queries can include a request for media content associated with media shown on display  112 . For example, a user can request other movies, television programs, sporting events, or the like associated with particular media based, for example, on a character, actor, genre, or the like. For example, transcription  2122  includes a query requesting other media associated with an actress in video  480 , referenced by her character&#39;s name in video  480  (“What else is Blanche in?”). Content shown on display  112 —along with metadata or other descriptive information about the content—can again be used to determine user intent from speech input relating to that content as well as to determine responses to queries (either informational or resulting in media selections). 
     In some examples, a user query directed to a virtual assistant can include an ambiguous reference using the name of a character, the name of an actor, the name of a program, the name of player, or the like. Without the context of the content shown on display  112  and its associated metadata, such references may be difficult to resolve accurately. Transcription  2122 , for example, includes a reference to a character named “Blanche” from video  480 . The particular actress or other individual the user is asking about can be unclear from the speech input alone. In some examples, however, the content shown on display  112  and associated metadata can be used to disambiguate user requests and determine user intent. In the illustrated example, the content shown on display  112  and associated metadata can be used to determine the user intent from the character name “Blanche.” In this instance, a character list associated with video  480  can be used to determine that “Blanche” likely refers to the character “Blanche” in video  480 . In another example, detailed metadata and/or facial recognition can be used to determine that a character with the name “Blanche” appears on the screen (or appeared on the screen at the initiation of the user&#39;s query), making the actress associated with that character the likeliest intention of the user&#39;s query. For example, it can be determined that characters  1910 ,  1912 , and  1914  appear on display  112  (or appeared on display  112  at the initiation of the user&#39;s query), and their associated character names can then be referenced to determine the user intent of the query referencing the character Blanche. An actor list can then be used to identify the actress who plays Blanche, and a search can be conducted to identify other media in which the identified actress appears. 
     Given the determined user intent (e.g., resolution of the character reference “Blanche”) and the determination of the result of the query (e.g., other media associated with the actress who plays “Blanche”), a response can be provided to the user.  FIG. 22  illustrates exemplary assistant response interface  2224  including assistant text response  2226  and selectable video links  2228 , which can be responsive to the query of transcription  2122  of  FIG. 21 . Assistant text response  2226  can include, as shown, a paraphrase of the user request introducing selectable video links  2228 . Assistant text response  2226  can also include an indication of the disambiguation of the user&#39;s query—in particular, identifying actress Jennifer Jones as playing the character Blanche in video  480 . Such a paraphrase can confirm to the user that the virtual assistant correctly interpreted the user&#39;s query and is providing the desired result. 
     Assistant response interface  2224  can also include selectable video links  2228 . In some examples, various types of media content can be provided as results to a virtual assistant query, including movies (e.g., Movie A and Movie B of interface  2224 ). Media content displayed as a result of a query can include media that may be available to the user for consumption (for free, for purchase, or as part of a subscription). A user can select displayed media to view or consume the resulting content. For instance, a user can select one of selectable video links  2228  (e.g., using a remote control, voice command, or the like) to watch one of the other movies in which actress Jennifer Jones appears. In response to selection of one of selectable video links  2228 , the video associated with the selection can be played, replacing video  480  on display  112 . Thus, displayed media content and associated metadata can be used to determine user intent from speech input, and, in some examples, playable media can be provided as a result. 
     It should be understood that a user can reference actors, players, characters, locations, teams, sporting event details, movie subjects, or a variety of other information associated with displayed content in forming queries, and the virtual assistant system can similarly disambiguate such requests and determine user intent based on displayed content and associated metadata. Likewise, it should be understood that, in some examples, results can include media suggestions associated with the query, such as a movie, television show, or sporting event associated with a person who is the subject of a query (whether or not the user specifically requests such media content). 
     Moreover, in some examples, user queries can include requests for information associated with media content itself, such as queries about a character, an episode, a movie plot, a previous scene, or the like. As with the examples discussed above, displayed content and associated metadata can be used to determine user intent from such queries and determine a response. For instance, a user might request a description of a character (e.g., “What does Blanche do in this movie?”). The virtual assistant system can then identify from metadata associated with displayed content the requested information about the character, such as a character description or role (e.g., “Blanche is one of a group of lawyers and is known as a troublemaker in Hartford.”). Similarly, a user might request an episode synopsis (e.g., “What happened in the last episode?”), and the virtual assistant system can search for and provide a description of the episode. 
     In some examples, content displayed on display  112  can include menu content, and such menu content can similarly be used to determine user intent of speech input and responses to user queries.  FIGS. 23A-23B  illustrate exemplary pages of a program menu  830 .  FIG. 23A  illustrates a first page of media options  832 , and  FIG. 23B  illustrates a second page of media options  832  (which can include a consecutive next page in a listing of content that extends beyond a single page). 
     In one example, a user request to play content can include an ambiguous reference to something shown on display  112  in menu  830 . For example, a user viewing menu  830  can request to watch “that” soccer game, “that” basketball game, the vacuum advertisement, the law show, or the like. The particular program desired can be unclear from the speech input alone. In some examples, however, the content shown on display  112  can be used to disambiguate user requests and determine user intent. In the illustrated example, the media options in menu  830  (along with metadata associated with the media options in some examples) can be used to determine the user intent from commands including ambiguous references. For example, “that” soccer game can be resolved to the soccer game on the sports channel. “That” basketball game can be resolved to the basketball game on the college sports channel. The vacuum advertisement can be resolved to the paid programming show (e.g., based on metadata associated with the show describing a vacuum). The law show can be resolved to the courtroom drama based on metadata associated with the show and/or synonym matching, fuzzy matching, or other matching techniques. The appearance of the various media options  832  in menu  830  on display  112  can thus be used to disambiguate user requests. 
     In some examples, displayed menus can be navigated with a cursor, joystick, arrows, buttons, gestures, or the like. In such instances, a focus can be shown for a selected item. For example, a selected item can be shown in bold, underlined, outlined with a border, in larger size than other menu items, with a shadow, with a reflection, with a glow, and/or with any other features to emphasize which menu item is selected and has focus. For example, selected media option  2330  in  FIG. 23A  can have focus as the currently selected media option, and is shown with large, underlined type and a border. 
     In some examples, a request to play content or select a menu item can include an ambiguous reference to a menu item that has focus. For example, a user viewing menu  830  of  FIG. 23A  can request to play “that” show (e.g., “Play that show.”). Similarly, a user could request various other commands associated with a menu item having focus, such as play, delete, hide, remind me to watch that, record that, or the like. The particular menu item or show that is desired can be unclear from the speech input alone. The content shown on display  112 , however, can be used to disambiguate user requests and determine user intent. In particular, the fact that selected media option  2330  has focus in menu  830  can be used to identify the desired media subject of any of the commands referring to “that” show, commands without subjects (e.g., play, delete, hide, etc.), or any other ambiguous commands referring to the media content having focus. A menu item having focus can thus be used in determining user intent from speech input. 
     As with a viewing history of media content that can be used to disambiguate a user request (e.g., content displayed at the time a user initiated a request but since having passed), previously displayed menu or search result content can similarly be used to disambiguate later user requests after moving on, for example, to later menu or search result content. For example,  FIG. 23B  illustrates a second page of menu  830  with additional media options  832 . A user can advance to the second page illustrated in  FIG. 23B  but refer back to content shown in the first page illustrated in  FIG. 23A  (e.g., media options  832  shown in  FIG. 23A ). For example, despite having moved on to the second page of menu  830 , a user can request to watch “that” soccer game, “that” basketball game, or the law show—all of which are media options  832  recently displayed on a previous page of menu  830 . Such references can be ambiguous, but the recently displayed menu content from the first page of menu  830  can be used to determine the user intent. In particular, the recently displayed media options  832  of  FIG. 23A  can be analyzed to identify the specific soccer game, basketball game, or courtroom drama referred to in the ambiguous example requests. In some examples, results can be biased based on how recently content was displayed (e.g., weighting the most recently viewed page of results over results viewed earlier). In this manner, the viewing history of what was recently shown on display  112  can be used to determine user intent. It should be understood that any recently displayed content can be used, such as previously displayed search results, previously displayed programs, previously displayed menus, or the like. This can allow users to refer back to something they saw earlier without having to find and navigate to the specific view in which they saw it. 
     In still other examples, various display cues shown in a menu or results list on display  112  can be used to disambiguate user requests and determine user intent.  FIG. 24  illustrates an exemplary media menu divided into categories, one of which has focus (movies).  FIG. 24  illustrates category interface  2440 , which can include a carousel-style interface of categorized media options including TV options  2442 , movie options  2444 , and music options  2446 . As shown, the music category is only partially displayed, and the carousel interface can be shifted to display additional content to the right (e.g., as indicated by the arrow) as though rotating the media in a carousel. In the illustrated example, the movies category has focus as indicated by the underlined title and border, although focus can be indicated in any of a variety of other ways (e.g., making the category larger to appear closer to the user than other categories, adding a glow, etc.). 
     In some examples, a request to play content or select a menu item can include an ambiguous reference to a menu item in a group of items (such as a category). For example, a user viewing category interface  2440  can request to play the soccer show (“Play the soccer show.”). The particular menu item or show that is desired can be unclear from the speech input alone. Moreover, the query can resolve to more than one show that is displayed on display  112 . For example, the request for the soccer show might refer to either the soccer game listed in the TV programs category or the soccer movie listed in the movies category. The content shown on display  112 —including display cues—can be used to disambiguate user requests and determine user intent. In particular, the fact that the movies category has focus in category interface  2440  can be used to identify the particular soccer show that is desired, which is likely the soccer movie given the focus on the movies category. A category of media (or any other grouping of media) having focus as shown on display  112  can thus be used in determining user intent from speech input. It should also be appreciated that users can make various other requests associated with categories, such as requesting display of certain categorical content (e.g., show me comedy movies, show me horror movies, etc.). 
     In other examples, a user can refer to menu or media items shown on display  112  in a variety of other ways, and user intent can similarly be determined based on displayed content. It should be appreciated that metadata associated with displayed content (e.g., TV program descriptions, movie descriptions, etc.), fuzzy matching techniques, synonym matching, and the like can further be used in conjunction with displayed content to determine user intent from speech input. User requests in a variety of forms—including natural language requests—can thus be accommodated and user intent can be determined according to the various examples discussed herein. 
     It should be understood that content displayed on display  112  can be used alone or in conjunction with content displayed on user device  102  or on a display associated with remote control  106  in determining user intent. Likewise, it should be understood that virtual assistant queries can be received at any of a variety of devices communicatively coupled to television set-top box  104 , and content displayed on display  112  can be used to determine user intent regardless of which device receives the query. Results of queries can likewise be displayed on display  112  or on another display (e.g., on user device  102 ). 
     In addition, in any of the various examples discussed herein, the virtual assistant system can navigate menus and select menu options without requiring a user to specifically open menus and navigate to menu items. For example, a menu of options might appear after selecting media content or a menu button, such as selecting a movie option  2444  in  FIG. 24 . Menu options might include playing the media as well as alternatives to simply playing the media, such as setting a reminder to watch the media later, setting up a recording of the media, adding media to a favorites list, hiding media from further view, or the like. While a user is viewing content above a menu or content that has a sub-menu option, the user can issue virtual assistant commands that would otherwise require navigating to the menu or sub-menu to select. For example, a user viewing category interface  2440  of  FIG. 24  can issue any menu command associated with a movie option  2444  without opening the associated menu manually. For instance, the user might request to add the soccer movie to a favorites list, record the nightly news, and set up a reminder to watch Movie B without ever navigating to the menus or sub-menus associated with those media options where such commands might be available. The virtual assistant system can thus navigate menus and sub-menus in order to execute commands on behalf of the user, whether or not those menu options appear on display  112 . This can simplify user requests and reduce the number of clicks or selections a user must make to achieve desired menu functionality. 
       FIG. 25  illustrates exemplary process  2500  for controlling television interactions using media content shown on a display and a viewing history of media content. At block  2502 , speech input can be received from a user, the speech input including a query associated with content shown on a television display. For example, the speech input can include a query about a character, actor, movie, television program, sporting event, player, or the like appearing on display  112  of system  100  (shown by television set-top box  104 ). Transcription  1916  of  FIG. 19 , for example, includes a query associated with actresses shown in video  480  on display  112 . Similarly, transcription  2122  of  FIG. 21  includes a query associated with a character in video  480  shown on display  112 . The speech input can also include a query associated with menu or search content appearing on display  112 , such as a query to select a particular menu item or get information about a particular search result. For example, displayed menu content can include media options  832  of menu  830  in  FIG. 23A  and  FIG. 23B . Displayed menu content can likewise include TV options  2442 , movie options  2444 , and/or music options  2446  appearing in category interface  2440  of  FIG. 24 . 
     Referring again to process  2500  of  FIG. 25 , at block  2504 , user intent of the query can be determined based on the content shown and a viewing history of media content. For example, user intent can be determined based on a displayed or recently displayed scene of a television program, sporting event, movie, or the like. User intent can also be determined based on displayed or recently displayed menu or search content. Displayed content can also be analyzed along with metadata associated with the content to determine user intent. For example, the content shown and described with reference to  FIGS. 19, 21, 23A, 23B, and 24  can be used alone or in conjunction with metadata associated with the displayed content to determine user intent. 
     At block  2506 , a result of the query can be displayed based on the determined user intent. For example, a result similar to assistant response  2020  in assistant response interface  2018  of  FIG. 20  can be displayed on display  112 . In another example, text and selectable media can be provided as a result, such as assistant text response  2226  and selectable video links  2228  in assistant response interface  2224  shown in  FIG. 22 . In yet another example, displaying the result of the query can include displaying or playing selected media content (e.g., playing a selected video on display  112  via television set-top box  104 ). User intent can thus be determined from speech input in a variety of ways using displayed content and associated metadata as context. 
     In some examples, virtual assistant query suggestions can be provided to a user to, for example, inform the user of available queries, suggest content that the user may enjoy, teach the user how to use the system, encourage the user to find additional media content for consumption, or the like. In some examples, query suggestions can include generic suggestions of possible commands (e.g., find comedies, show me the TV guide, search for action movies, turn on closed captioning, etc.). In other examples, query suggestions can include targeted suggestions related to displayed content (e.g., add this show to a watch list, share this show via social media, show me the soundtrack of this movie, show me the book that this guest is selling, show me the trailer for the movie that guest is plugging, etc.), user preferences (e.g., closed captioning use, etc.), user-owned content, content stored on a user&#39;s device, notifications, alerts, a viewing history of media content (e.g., recently displayed menu items, recently displayed scenes of a show, recent actor appearances, etc.), or the like. Suggestions can be displayed on any device, including on display  112  via television set-top box  104 , on user device  102 , or on a display associated with remote control  106 . In addition, suggestions can be determined based on which devices are nearby and/or in communication with television set-top box  104  at a particular time (e.g., suggesting content from devices of the users in the room watching TV at a particular time). In other examples, suggestions can be determined based on a variety of other contextual information, including the time of day, crowd-sourced information (e.g., popular shows being watched at a given time), shows that are live (e.g., live sporting events), a viewing history of media content (e.g., the last several shows that were watched, a recently viewed set of search results, a recently viewed group of media options, etc.), or any of a variety of other contextual information. 
       FIG. 26  illustrates exemplary suggestions interface  2650  including content-based virtual assistant query suggestions  2652 . In one example, query suggestions can be provided in an interface such as interface  2650  in response to input received from a user requesting suggestions. Input requesting query suggestions can be received, for example, from user device  102  or remote control  106 . In some examples, the input can include a button press, a double click of a button, a menu selection, a voice command (e.g., show me some suggestions, what can you do for me, what are some options, etc.), or the like received at user device  102  or remote control  106 . For instance, a user can double click a physical button on remote control  106  to request query suggestions, or can double click a physical or virtual button on user device  102  when viewing an interface associated with television set-top box  104  to request query suggestions. 
     Suggestions interface  2650  can be displayed over a moving image, such as video  480 , or over any other background content (e.g., a menu, a still image, a paused video, etc.). As with other interfaces discussed herein, suggestions interface  2650  can be animated to slide up from the bottom of display  112 , and can occupy a minimal amount of space while sufficiently conveying the desired information so as to limit interference with video  480  in the background. In other examples, a larger interface of suggestions can be provided when the background content is still (e.g., a paused video, a menu, an image, etc.). 
     In some examples, virtual assistant query suggestions can be determined based on displayed media content or a viewing history of media content (e.g., a movie, television show, sporting event, recently viewed show, recently viewed menu, recently viewed scene of a movie, recent scene of a playing television episode, etc.). For example,  FIG. 26  illustrates content-based suggestions  2652 , which can be determined based on displayed video  480  shown in the background with characters  1910 ,  1912 , and  1914  appearing on display  112 . Metadata associated with displayed content (e.g., descriptive details of the media content) can also be used to determine query suggestions. Metadata can include a variety of information associated with displayed content, including a show title, a character list, an actor list, an episode description, a team roster, a team ranking, a show synopsis, movie details, plot descriptions, director names, producer names, times of actor appearance, sports standings, sports scores, genre, season episode listing, related media content, or a variety of other associated information. For example, metadata associated with video  480  can include the character names of characters  1910 ,  1912 , and  1914  along with the actresses who play those characters. Metadata can also include a description of the plot of video  480 , a description of a previous or next episode (where video  480  is a television episode in a series), or the like. 
       FIG. 26  illustrates a variety of content-based suggestions  2652  that can be shown in suggestions interface  2650  based on video  480  and metadata associated with video  480 . For example, character  1910  of video  480  can be named “Blanche,” and the character name can be used to formulate a query suggestion for information about the character Blanche or the actress who plays that character (e.g., “Who is the actress that plays Blanche?”). Character  1910  can be identified from metadata associated with video  480  (e.g., a character list, an actor list, times associated with actor appearances, etc.). In other examples, facial recognition can be used to identify actresses and/or characters appearing on display  112  at a given time. Various other query suggestions can be provided associated with a character in the media itself, such as queries relating to a character&#39;s role, profile, relationship to other characters, or the like. 
     In another example, an actor or actress appearing on display  112  can be identified (e.g., based on metadata and/or facial recognition), and query suggestions associated with that actor or actress can be provided. Such query suggestions can include role(s) played, acting awards, age, other media in which they appear, history, family members, relationships, or any of a variety of other details about an actor or actress. For example, character  1914  can be played by an actress named Whitney Davidson, and the actress&#39;s name Whitney Davidson can be used to formulate a query suggestion to identify other movies, television programs, or other media in which the actress Whitney Davidson appears (e.g., “What else is Whitney Davidson in?”). 
     In other examples, details about a show can be used to formulate query suggestions. An episode synopsis, plot summary, episode list, episode titles, series titles, or the like can be used to formulate query suggestions. For example, a suggestion can be provided to describe what happened in the last episode of a television program (e.g., “What happened in the last episode?”), to which the virtual assistant system can provide as a response an episode synopsis from the prior episode identified based on the episode currently shown on display  112  (and its associated metadata). In another example, a suggestion can be provided to set up a recording for the next episode, which can be accomplished by the system identifying the next episode based on the currently playing episode shown on display  112 . In yet another example, a suggestion can be provided to get information about the current episode or show appearing on display  112 , and the title of the show obtained from metadata can be used to formulate the query suggestion (e.g., “What is this episode of ‘Their Show’ about?” or “What is ‘Their Show’ about?”). 
     In another example, category, genre, rating, awards, descriptions, or the like associated with displayed content can be used to formulate query suggestions. For example, video  480  can correspond to a television program described as a comedy having female lead characters. A query suggestion can be formulated from this information to identify other shows with similar characteristics (e.g., “Find me other comedies with female leads.”). In other examples, suggestions can be determined based on user subscriptions, content available for playback (e.g., content on television set-top box  104 , content on user device  102 , content available for streaming, etc.), or the like. For example, potential query suggestions can be filtered based on whether informational or media results are available. Query suggestions that might not result in playable media content or informational answers can be excluded, and/or query suggestions with readily available informational answers or playable media content can be provided (or weighted more heavily in determining which suggestions to provide). Displayed content and associated metadata can thus be used in a variety of ways to determine query suggestions. 
       FIG. 27  illustrates exemplary selection interface  2754  for confirming selection of a suggested query. In some examples, users can select displayed query suggestions by speaking the queries, selecting them with a button, navigating to them with a cursor, or the like. In response to a selection, the selected suggestion can be briefly displayed in a confirming interface, such as selection interface  2754 . In one example, selected suggestion  2756  can be animated to move from wherever it appeared in suggestions interface  2650  to the position shown in  FIG. 27  next to command receipt confirmation  490  (e.g., as shown by the arrow), and other unselected suggestions can be hidden from the display. 
       FIGS. 28A-28B  illustrate exemplary virtual assistant answer interface  2862  based on a selected query. In some examples, informational answers to a selected query can be displayed in an answer interface, such as answer interface  2862 . In switching from either suggestions interface  2650  or selection interface  2754 , transition interface  2858  can be shown as illustrated in  FIG. 28A . In particular, previously displayed content within the interface can be scrolled upward out of the interface as the next content scrolls upward from the bottom of display  112 . Selected suggestion  2756 , for example, can be slid or scrolled upward until it disappears at the top edge of the virtual assistant interface, and assistant result  2860  can be slid or scrolled upward from the bottom of display  112  until it arrives at the position shown in  FIG. 28B . 
     Answer interface  2862  can include informational answers and/or media results responsive to a selected query suggestion (or responsive to any other query). For example, in response to selected query suggestion  2756 , assistant result  2860  can be determined and provided. In particular, in response to a request for a synopsis of a prior episode, the prior episode can be identified based on displayed content, and an associated description or synopsis can be identified and provided to the user. In the illustrated example, assistant result  2860  can describe a previous episode of the program corresponding to video  480  on display  112  (e.g., “In episode  203  of ‘Their Show,’ Blanche gets invited to a college psychology class as a guest speaker. Julia and Melissa show up unannounced and cause a stir.”). Informational answers and media results (e.g., selectable video links) can also be presented in any of the other ways discussed herein, or results can be presented in various other ways (e.g., speaking answers aloud, playing content immediately, showing an animation, displaying an image, etc.). 
     In another example, a notification or alert can be used to determine virtual assistant query suggestions.  FIG. 29  illustrates a media content notification  2964  (although any notification can be taken into account in determining suggestions) and suggestions interface  2650  with both notification-based suggestions  2966  and content-based suggestions  2652  (which can include some of the same concepts as discussed above with reference to  FIG. 26 ). In some examples, the content of a notification can be analyzed to identify relevant media related names, titles, subjects, actions, or the like. In the illustrated example, notification  2964  includes an alert notifying the user about alternative media content available for display—specifically that a sporting event is live, and the content of the game may be of interest to the user (e.g., “Team Zeta and Team Alpha are tied with five minutes remaining in the game.”). In some examples, notifications can be displayed momentarily at the top of display  112 . Notifications can be slid down from the top of display  112  (as indicated by the arrow) into the position shown in  FIG. 29 , displayed for a certain amount of time, and slid back up to disappear again at the top of display  112 . 
     Notifications or alerts can notify the user of a variety of information, such as available alternative media content (e.g., alternatives to what may be shown currently on display  112 ), available live television programs, newly downloaded media content, recently added subscription content, suggestions received from friends, receipt of media sent from another device, or the like. Notifications can also be personalized based on a household or an identified user watching media (e.g., identified based on user authentication using account selections, voice recognition, passwords, etc.). In one example, the system can interrupt a show and display a notification based on likely desired content, such as displaying notification  2964  for a user who—based on a user profile, favorite team(s), preferred sport(s), viewing history, and the like—can be likely to desire the content of the notification. For example, sporting event scores, game status, time remaining, and the like can be obtained from a sport data feed, news outlet, social media discussions, or the like, and can be used to identify possible alternative media content for notifying the user. 
     In other examples, popular media content (e.g., across many users) can be provided via alerts or notifications to suggest alternatives to currently viewed content (e.g., notifying a user that a popular show or a show in a genre the user likes just started or is otherwise available for viewing). In the illustrated example, the user might follow one or both of Team Zeta and Team Alpha (or might follow soccer or a particular sport, league, etc.). The system can determine that available live content matches the user&#39;s preferences (e.g., a game on another channel matches a user&#39;s preferences, the game has little time remaining, and the score is close). The system can then determine to alert the user via notification  2964  of the likely desired content. In some examples, a user can select notification  2964  (or a link within notification  2964 ) to switch to the suggested content (e.g., using a remote control button, cursor, spoken request, etc.). 
     Virtual assistant query suggestions can be determined based on notifications by analyzing notification content to identify relevant media related terms, names, titles, subjects, actions, or the like. The identified information can then be used to formulate appropriate virtual assistant query suggestions, such as notification-based suggestions  2966  based on notification  2964 . For example, a notification about an exciting end of a live sporting event can be displayed. Should the user then request query suggestions, suggestions interface  2650  can be displayed, including query suggestions to view the sporting event, inquire about team statistics, or find content related to the notification (e.g., change to the Zeta/Alpha game, what are team Zeta&#39;s stats, what other soccer games are on, etc.). Based on the particular terms of interest identified in the notification, various other query suggestions can likewise be determined and provided to the user. 
     Virtual assistant query suggestions related to media content (e.g., for consumption via television set-top box  104 ) can also be determined from content on a user device, and suggestions can also be provided on a user device. In some examples, playable device content can be identified on user devices that are connected to or in communication with television set-top box  104 .  FIG. 30  illustrates user device  102  with exemplary picture and video content in interface  1360 . A determination can be made as to what content is available for playback on a user device, or what content is likely to be desired for playback. For example, playable media  3068  can be identified based on an active application (e.g., a photos and videos application), or can be identified based on stored content whether displayed on interface  1360  or not (e.g., content can be identified from an active application in some examples or without being displayed at a given time in other examples). Playable media  3068  can include, for example, video  1362 , photo album  1364 , and photos  1366 , each of which can include personal user content that can be transmitted to television set-top box  104  for display or playback. In other examples, any photo, video, music, game interface, application interface, or other media content stored or displayed on user device  102  can be identified and used for determining query suggestions. 
     With playable media  3068  identified, virtual assistant query suggestions can be determined and provided to the user.  FIG. 31  illustrates exemplary TV assistant interface  3170  on user device  102  with virtual assistant query suggestions based on playable user device content and based on video content shown on a separate display (e.g., display  112  associated with television set-top box  104 ). TV assistant interface  3170  can include a virtual assistant interface specifically for interacting with media content and/or television set-top box  104 . Users can request query suggestions on user device  102  by, for example, a double click of a physical button when viewing interface  3170 . Other inputs can similarly be used to indicate a request for query suggestions. As shown, assistant greeting  3172  can introduce the provided query suggestions (e.g., “Here are some suggestions for controlling your TV experience.”). 
     Virtual assistant query suggestions provided on user device  102  can include suggestions based on a variety of source devices as well as general suggestions. For example, device-based suggestions  3174  can include query suggestions based on content stored on user device  102  (including content displayed on user device  102 ). Content-based suggestions  2652  can be based on content displayed on display  112  associated with television set-top box  104 . General suggestions  3176  can include general suggestions that may not be associated with particular media content or a particular device with media content. 
     Device-based suggestions  3174  can be determined, for example, based on playable content identified on user device  102  (e.g., videos, music, photographs, game interfaces, application interfaces, etc.). In the illustrated example, device-based suggestions  3174  can be determined based on playable media  3068  shown in  FIG. 30 . For example, given that photo album  1364  was identified as playable media  3068 , the details of photo album  1364  can be used to formulate a query. The system can identify the content as an album of multiple photos that can be shown in a slideshow, and can then use the title of the album (in some instances) to formulate a query suggestion to show a slideshow of the particular album of photos (e.g., “Show a slideshow of ‘Graduation Album’ from your photos.”). In some examples, the suggestion can include an indication of the source of the content (e.g., “from your photos,” “from Jennifer&#39;s phone,” “from Daniel&#39;s tablet,” etc.). The suggestion can also use other details to refer to particular content, such as a suggestion to view a photograph from a particular date (e.g., display your photo from June 21st). In another example, video  1362  can be identified as playable media  3068 , and the title of the video (or other identifying information) can be used to formulate a query suggestion to play the video (e.g., “Show ‘Graduation Video’ from your videos.”). 
     In other examples, content available on other connected devices can be identified and used to formulate virtual assistant query suggestions. For example, content from each of two user devices  102  connected to a common television set-top box  104  can be identified and used in formulating virtual assistant query suggestions. In some examples, users can select which content to make visible to the system for sharing, and can hide other content from the system so as not to include it in query suggestions or otherwise make it available for playback. 
     Content-based suggestions  2652  shown in interface  3170  of  FIG. 31  can be determined, for example, based on content displayed on display  112  associated with television set-top box  104 . In some examples, content-based suggestions  2652  can be determined in the same manner as described above with reference to  FIG. 26 . In the illustrated example, content-based suggestions  2652  shown in  FIG. 31  can be based on video  480  shown on display  112  (e.g., as in  FIG. 26 ). In this manner, virtual assistant query suggestions can be derived based on content that is displayed or available on any number of connected devices. In addition to targeted suggestions, general suggestions  3176  can be predetermined and provided (e.g., show me the guide, what sports are on, what&#39;s on channel three, etc.). 
       FIG. 32  illustrates exemplary suggestions interface  2650  with connected device-based suggestions  3275  along with content-based suggestions  2652  shown on display  112  associated with television set-top box  104 . In some examples, content-based suggestions  2652  can be determined in the same manner as described above with reference to  FIG. 26 . As noted above, virtual assistant query suggestions can be formulated based on content on any number of connected devices, and the suggestions can be provided on any number of connected devices.  FIG. 32  illustrates connected device-based suggestions  3275  that can be derived from content on user device  102 . For example, playable content can be identified on user device  102 , such as photo and video content shown in interface  1360  as playable media  3068  in  FIG. 30 . The identified playable content on user device  102  can then be used to formulate suggestions that can be displayed on display  112  associated with television set-top box  104 . In some examples, connected device-based suggestions  3275  can be determined in the same manner as device-based suggestions  3174  described above with reference to  FIG. 31 . In addition, as noted above, in some examples identifying source information can be included in a suggestion, such as “from Jake&#39;s phone” as shown in connected device-based suggestions  3275 . Virtual assistant query suggestions provided on one device can thus be derived based on content from another device (e.g., displayed content, stored content, etc.). It should be appreciated that a connected device can include a remote storage device accessible to television set-top box  104  and/or user device  102  (e.g., accessing media content stored in the cloud to formulate suggestions). 
     It should be understood that any combination of virtual assistant query suggestions from various sources can be provided in response to a request for suggestions. For example, suggestions from various sources can be combined randomly, or can be presented based on popularity, user preference, selection history, or the like. Moreover, queries can be determined in a variety of other ways and presented based on a variety of other factors, such as a query history, a user preference, a query popularity, or the like. In addition, in some examples, query suggestions can be cycled automatically by replacing displayed suggestions with new alternative suggestions after a delay. It should further be understood that users can select displayed suggestions on any interface by, for example, tapping on a touchscreen, speaking the query, selecting a query with navigation keys, selecting a query with a button, selecting a query with a cursor, or the like, and an associated response can then be provided (e.g., an informational and/or media response). 
     In any of the various examples, virtual assistant query suggestions can also be filtered based on available content. For example, potential query suggestions that would result in unavailable media content (e.g., no cable subscription) or that may not have an associated informational answer can be disqualified as suggestions and held back from being displayed. On the other hand, potential query suggestions that would result in immediately playable media content to which the user has access can be weighted over other potential suggestions or otherwise biased for display. In this manner, the availability of media content for user viewing can also be used in determining virtual assistant query suggestions for display. 
     In addition, in any of the various examples, pre-loaded query answers can be provided instead of or in addition to suggestions (e.g., in suggestions interface  2650 ). Such pre-loaded query answers can be selected and provided based on personal use and/or current context. For example, a user watching a particular program can tap a button, double-click a button, long-press a button, or the like to receive suggestions. Instead of or in addition to query suggestions, context-based information can be provided automatically, such as identifying a playing song or soundtrack (e.g., “This song is Performance Piece”), identifying cast members of a currently playing episode (e.g., “Actress Janet Quinn plays Genevieve”), identifying similar media (e.g., “Show Q is similar to this”), or providing results of any of the other queries discussed herein. 
     Moreover, affordances can be provided in any of the various interfaces for users to rate media content to inform the virtual assistant of user preferences (e.g., a selectable rating scale). In other examples, users can speak rating information as a natural language command (e.g., “I love this,” “I hate this,” “I don&#39;t like this show,” etc.). In still other examples, in any of the various interfaces illustrated and described herein, a variety of other functional and informational elements can be provided. For example, interfaces can further include links to important functions and places, such as search links, purchase links, media links, and the like. In another example, interfaces can further include recommendations of what else to watch next based on currently playing content (e.g., selecting similar content). In yet another example, interfaces can further include recommendations of what else to watch next based on personalized taste and/or recent activity (e.g., selecting content based on user ratings, user-entered preferences, recently watched programs, etc.). In still other examples, interfaces can further include instructions for user interactions (e.g., “Press and hold to talk to the Virtual Assistant,” “Tap once to get suggestions,” etc.). In some examples, providing pre-loaded answers, suggestions, or the like can provide an enjoyable user experience while also making content readily available to a wide variety of users (e.g., to users of various skill levels irrespective of language or other control barriers). 
       FIG. 33  illustrates exemplary process  3300  for suggesting virtual assistant interactions for controlling media content (e.g., virtual assistant queries). At block  3302 , media content can be displayed on a display. For example, as shown in  FIG. 26 , video  480  can be displayed on display  112  via television set-top box  104 , or interface  1360  can be displayed on touchscreen  246  of user device  102  as shown in  FIG. 30 . At block  3304 , an input can be received from a user. The input can include a request for virtual assistant query suggestions. The input can include a button press, a double click of a button, a menu selection, a spoken query for suggestions, or the like. 
     At block  3306 , virtual assistant queries can be determined based on the media content and/or a viewing history of media content. For example, virtual assistant queries can be determined based on a displayed program, menu, application, list of media content, notification, or the like. In one example, content-based suggestions  2652  can be determined based on video  480  and associated metadata as described with reference to  FIG. 26 . In another example, notification-based suggestions  2966  can be determined based on notification  2964  as described with reference to  FIG. 29 . In yet another example, device-based suggestions  3174  can be determined based on playable media  3068  on user device  102  as described with reference to  FIG. 30  and  FIG. 31 . In still other examples, connected device-based suggestions  3275  can be determined based on playable media  3068  on user device  102  as described with reference to  FIG. 32 . 
     Referring again to process  3300  of  FIG. 33 , at block  3308 , the virtual assistant queries can be displayed on the display. For example, determined query suggestions can be displayed as shown in and described with reference to  FIGS. 26, 27, 29, 31, and 32 . As discussed above, query suggestions can be determined and displayed based on a variety of other information. Moreover, virtual assistant query suggestions provided on one display can be derived based on content from another device with another display. Targeted virtual assistant query suggestions can thus be provided to users, thereby assisting users to learn of potential queries as well as providing desirable content suggestions, among other benefits. 
     In addition, in any of the various examples discussed herein, various aspects can be personalized for a particular user. User data, including contacts, preferences, location, favorite media, and the like, can be used to interpret voice commands and facilitate user interaction with the various devices discussed herein. The various processes discussed herein can also be modified in various other ways according to user preferences, contacts, text, usage history, profile data, demographics, or the like. In addition, such preferences and settings can be updated over time based on user interactions (e.g., frequently uttered commands, frequently selected applications, etc.). Gathering and use of user data that is available from various sources can be used to improve the delivery to users of invitational content or any other content that may be of interest to them. The present disclosure contemplates that in some instances, this gathered data can include personal information data that uniquely identifies or can be used to contact or locate a specific person. Such personal information data can include demographic data, location-based data, telephone numbers, email addresses, home addresses, or any other identifying information. 
     The present disclosure recognizes that the use of such personal information data, in the present technology, can be used to the benefit of users. For example, the personal information data can be used to deliver targeted content that is of greater interest to the user. Accordingly, use of such personal information data enables calculated control of the delivered content. Further, other uses for personal information data that benefit the user are also contemplated by the present disclosure. 
     The present disclosure further contemplates that the entities responsible for the collection, analysis, disclosure, transfer, storage, or other use of such personal information data will comply with well-established privacy policies and/or privacy practices. In particular, such entities should implement and consistently use privacy policies and practices that are generally recognized as meeting or exceeding industry or governmental requirements for maintaining personal information data as private and secure. For example, personal information from users should be collected for legitimate and reasonable uses of the entity and not shared or sold outside of those legitimate uses. Further, such collection should occur only after receiving the informed consent of the users. Additionally, such entities would take any needed steps for safeguarding and securing access to such personal information data and ensuring that others with access to the personal information data adhere to their privacy policies and procedures. Further, such entities can subject themselves to evaluation by third parties to certify their adherence to widely accepted privacy policies and practices. 
     Despite the foregoing, the present disclosure also contemplates examples in which users selectively block the use of, or access to, personal information data. That is, the present disclosure contemplates that hardware and/or software elements can be provided to prevent or block access to such personal information data. For example, in the case of advertisement delivery services, the present technology can be configured to allow users to select to “opt in” or “opt out” of participation in the collection of personal information data during registration for services. In another example, users can select not to provide location information for targeted content delivery services. In yet another example, users can select not to provide precise location information, but permit the transfer of location zone information. 
     Therefore, although the present disclosure broadly covers use of personal information data to implement one or more various disclosed examples, the present disclosure also contemplates that the various examples can also be implemented without the need for accessing such personal information data. That is, the various examples of the present technology are not rendered inoperable due to the lack of all or a portion of such personal information data. For example, content can be selected and delivered to users by inferring preferences based on non-personal information data or a bare minimum amount of personal information, such as the content being requested by the device associated with a user, other non-personal information available to the content delivery services, or publicly available information. 
     In accordance with some examples,  FIG. 34  shows a functional block diagram of an electronic device  3400  configured in accordance with the principles of various described examples to, for example, control television interactions using a virtual assistant and display associated information using different interfaces. The functional blocks of the device can be implemented by hardware, software, or a combination of hardware and software to carry out the principles of the various described examples. It is understood by persons of skill in the art that the functional blocks described in  FIG. 34  can be combined or separated into sub-blocks to implement the principles of the various described examples. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein. 
     As shown in  FIG. 34 , electronic device  3400  can include a display unit  3402  configured to display media, interfaces, and other content (e.g., display  112 , touchscreen  246 , or the like). Electronic device  3400  can further include input unit  3404  configured to receive information, such as speech input, tactile input, gesture input, and the like (e.g., a microphone, a receiver, a touchscreen, a button, or the like). Electronic device  3400  can further include processing unit  3406  coupled to display unit  3402  and input unit  3404 . In some examples, processing unit  3406  can include a speech input receiving unit  3408 , a media content determining unit  3410 , a first user interface displaying unit  3412 , a selection receiving unit  3414 , and a second user interface displaying unit  3416 . 
     Processing unit  3406  can be configured to receive speech input from a user (e.g., via input unit  3404 ). Processing unit  3406  can be further configured to determine (e.g., using media content determining unit  3410 ) media content based on the speech input. Processing unit  3406  can be further configured to display (e.g., on display unit  3402  using first user interface displaying unit  3412 ) a first user interface having a first size, wherein the first user interface comprises one or more selectable links to the media content. Processing unit  3406  can be further configured to receive (e.g., from input unit  3404  using selection receiving unit  3414 ) a selection of one of the one or more selectable links. Processing unit  3406  can be further configured to, in response to the selection, display (e.g., on display unit  3402  using second user interface displaying unit  3416 ) a second user interface having a second size larger than the first size, wherein the second user interface comprises the media content associated with the selection. 
     In some examples, the first user interface (e.g., of first user interface displaying unit  3412 ) expands into the second user interface (e.g., of second user interface displaying unit  3416 ) in response to the selection (e.g., of selection receiving unit  3414 ). In other examples, the first user interface is overlaid on playing media content. In one example, the second user interface is overlaid on playing media content. In another example, the speech input (e.g., of speech input receiving unit  3408  from input unit  3404 ) comprises a query, and the media content (e.g., of media content determining unit  3410 ) comprises a result of the query. In still another example, the first user interface comprises a link to results of the query beyond the one or more selectable links to the media content. In other examples, the query comprises a query about weather, and the first user interface comprises a link to media content associated with the query about the weather. In another example, the query comprises a location, and the link to the media content associated with the query about the weather comprises a link to a portion of media content associated with weather at the location. 
     In some examples, in response to the selection, processing unit  3406  can be configured to play the media content associated with the selection. In one example, the media content comprises a movie. In another example, the media content comprises a television show. In another example, the media content comprises a sporting event. In some examples, the second user interface (e.g., of second user interface displaying unit  3416 ) comprises a description of the media content associated with the selection. In other examples, the first user interface comprises a link to purchase media content. 
     Processing unit  3406  can be further configured to receive additional speech input from the user (e.g., via input unit  3404 ), wherein the additional speech input comprises a query associated with displayed content. Processing unit  3406  can be further configured to determine a response to the query associated with the displayed content based on metadata associated with the displayed content. Processing unit  3406  can be further configured to, in response to receiving the additional speech input, display (e.g., on display unit  3402 ) a third user interface, wherein the third user interface comprises the determined response to the query associated with the displayed content. 
     Processing unit  3406  can be further configured to receive an indication to initiate receipt of speech input (e.g., via input unit  3404 ). Processing unit  3406  can be further configured to, in response to receiving the indication, display a readiness confirmation (e.g., on display unit  3402 ). Processing unit  3406  can be further configured to, in response to receiving the speech input, display a listening confirmation. Processing unit  3406  can be further configured to detect the end of the speech input, and, in response to detecting the end of the speech input, display a processing confirmation. In some examples, processing unit  3406  can be further configured to display a transcription of the speech input. 
     In some examples, electronic device  3400  comprises a television. In other examples, electronic device  3400  comprises a television set-top box. In other examples, electronic device  3400  comprises a remote control. In still other examples, electronic device  3400  comprises a mobile telephone. 
     In one example, the one or more selectable links in the first user interface (e.g., of first user interface displaying unit  3412 ) comprise moving images associated with the media content. In some examples, the moving images associated with the media content comprise live feeds of the media content. In other examples, the one or more selectable links in the first user interface comprise still images associated with the media content. 
     In some examples, processing unit  3406  can be further configured to determine whether currently displayed content comprises a moving image or a control menu; in response to a determination that currently displayed content comprises a moving image, select a small size as the first size for the first user interface (e.g., of first user interface displaying unit  3412 ); and, in response to a determination that currently displayed content comprises a control menu, select a large size, larger than the small size, as the first size for the first user interface (e.g., of first user interface displaying unit  3412 ). In other examples, processing unit  3406  can be further configured to determine alternative media content for display based on one or more of a user preference, a show popularity, and a status of a live sporting event, and to display a notification comprising the determined alternative media content. 
     In accordance with some examples,  FIG. 35  shows a functional block diagram of an electronic device  3500  configured in accordance with the principles of various described examples to, for example, control television interactions using a virtual assistant and multiple user devices. The functional blocks of the device can be implemented by hardware, software, or a combination of hardware and software to carry out the principles of the various described examples. It is understood by persons of skill in the art that the functional blocks described in  FIG. 35  can be combined or separated into sub-blocks to implement the principles of the various described examples. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein. 
     As shown in  FIG. 35 , electronic device  3500  can include a display unit  3502  configured to display media, interfaces, and other content (e.g., display  112 , touchscreen  246 , or the like). Electronic device  3500  can further include input unit  3504  configured to receive information, such as speech input, tactile input, gesture input, and the like (e.g., a microphone, a receiver, a touchscreen, a button, or the like). Electronic device  3500  can further include processing unit  3506  coupled to display unit  3502  and input unit  3504 . In some examples, processing unit  3506  can include a speech input receiving unit  3508 , a user intent determining unit  3510 , a media content determining unit  3512 , and a media content playing unit  3514 . 
     Processing unit  3506  can be configured to receive (e.g., from input unit  3504  using speech input receiving unit  3508 ) speech input from a user at a first device (e.g., device  3500 ) having a first display (e.g., display unit  3502  in some examples). Processing unit  3506  can be further configured to determine (e.g., using user intent determining unit  3510 ) a user intent of the speech input based on content displayed on the first display. Processing unit  3506  can be further configured to determine (e.g., using media content determining unit  3512 ) media content based on the user intent. Processing unit  3506  can be further configured to play (e.g., using media content playing unit  3514 ) the media content on a second device associated with a second display (e.g., display unit  3502  in some examples). 
     In one example, the first device comprises a remote control. In another example, the first device comprises a mobile telephone. In another example, the first device comprises a tablet computer. In some examples, the second device comprises a television set-top box. In other examples, the second display comprises a television. 
     In some examples, the content displayed on the first display comprises an application interface. In one example, the speech input (e.g., of speech input receiving unit  3508  from input unit  3504 ) comprises a request to display media associated with the application interface. In one example, the media content comprises the media associated with the application interface. In another example, the application interface comprises a photo album, and the media comprises one or more photos in the photo album. In yet another example, the application interface comprises a list of one or more videos, and the media comprises one of the one or more videos. In still other examples, the application interface comprises a television program listing, and the media comprises a television program in the television program listing. 
     In some examples, processing unit  3506  can be further configured to determine whether the first device is authorized; wherein the media content is played on the second device in response to a determination that the first device is authorized. Processing unit  3506  can be further configured to identify the user based on the speech input, and determine (e.g., using user intent determining unit  3510 ) the user intent of the speech input based on data associated with the identified user. Processing unit  3506  can be further configured to determine whether the user is authorized based on the speech input; wherein the media content is played on the second device in response to a determination that the user is an authorized user. In one example, determining whether the user is authorized comprises analyzing the speech input using voice recognition. 
     In other examples, processing unit  3506  can be further configured to, in response to determining that the user intent comprises a request for information, display information associated with the media content on the first display of the first device. Processing unit  3506  can be further configured to, in response to determining that the user intent comprises a request to play the media content, play the media content on the second device. 
     In some examples, the speech input comprises a request to play content on the second device, and the media content is played on the second device in response to the request to play content on the second device. Processing unit  3506  can be further configured to determine whether the determined media content should be displayed on the first display or the second display based on a media format, a user preference, or a default setting. In some examples, the media content is displayed on the second display in response to a determination that the determined media content should be displayed on the second display. In other examples, the media content is displayed on the first display in response to a determination that the determined media content should be displayed on the first display. 
     In other examples, processing unit  3506  can be further configured to determine a proximity of each of two or more devices, including the second device and a third device. In some examples, the media content is played on the second device associated with the second display based on the proximity of the second device relative to the proximity of the third device. In some examples, determining the proximity of each of the two or more devices comprises determining the proximity based on Bluetooth LE. 
     In some examples, processing unit  3506  can be further configured to display a list of display devices, including the second device associated with the second display, and receive a selection of the second device in the list of display devices. In one example, the media content is displayed on the second display in response to receiving the selection of the second device. Processing unit  3506  can be further configured to determine whether headphones are attached to the first device. Processing unit  3506  can be further configured to, in response to a determination that headphones are attached to the first device, display the media content on the first display. Processing unit  3506  can be further configured to, in response to a determination that headphones are not attached to the first device, display the media content on the second display. In other examples, processing unit  3506  can be further configured to determine alternative media content for display based on one or more of a user preference, a show popularity, and a status of a live sporting event, and to display a notification comprising the determined alternative media content. 
     In accordance with some examples,  FIG. 36  shows a functional block diagram of an electronic device  3600  configured in accordance with the principles of various described examples to, for example, control television interactions using media content shown on a display and a viewing history of media content. The functional blocks of the device can be implemented by hardware, software, or a combination of hardware and software to carry out the principles of the various described examples. It is understood by persons of skill in the art that the functional blocks described in  FIG. 36  can be combined or separated into sub-blocks to implement the principles of the various described examples. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein. 
     As shown in  FIG. 36 , electronic device  3600  can include a display unit  3602  configured to display media, interfaces, and other content (e.g., display  112 , touchscreen  246 , or the like). Electronic device  3600  can further include input unit  3604  configured to receive information, such as speech input, tactile input, gesture input, and the like (e.g., a microphone, a receiver, a touchscreen, a button, or the like). Electronic device  3600  can further include processing unit  3606  coupled to display unit  3602  and input unit  3604 . In some examples, processing unit  3606  can include a speech input receiving unit  3608 , a user intent determining unit  3610 , and a query result displaying unit  3612 . 
     Processing unit  3606  can be configured to receive (e.g., from input unit  3604  using speech input receiving unit  3608 ) speech input from a user, wherein the speech input comprises a query associated with content shown on a television display (e.g., display unit  3602  in some examples). Processing unit  3606  can be further configured to determine (e.g., using user intent determining unit  3610 ) a user intent of the query based on one or more of the content shown on the television display and a viewing history of media content. Processing unit  3606  can be further configured to display (e.g., using query result displaying unit  3612 ) a result of the query based on the determined user intent. 
     In one example, the speech input is received at a remote control. In another example, the speech input is received at a mobile telephone. In some examples, the result of the query is displayed on the television display. In another example, the content shown on the television display comprises a movie. In yet another example, the content shown on the television display comprises a television show. In still another example, the content shown on the television display comprises a sporting event. 
     In some examples, the query comprises a request for information about a person associated with the content shown on the television display, and the result (e.g., of query result displaying unit  3612 ) of the query comprises information about the person. In one example, the result of the query comprises media content associated with the person. In another example, the media content comprises one or more of a movie, a television show, or a sporting event associated with the person. In some examples, the query comprises a request for information about a character in the content shown on the television display, and the result of the query comprises information about the character or information about the actor who plays the character. In one example, the result of the query comprises media content associated with the actor who plays the character. In another example, the media content comprises one or more of a movie, a television show, or a sporting event associated with the actor who plays the character. 
     In some examples, processing unit  3606  can be further configured to determine the result of the query based on metadata associated with the content shown on the television display or the viewing history of media content. In one example, the metadata comprises one or more of a title, a description, a list of characters, a list of actors, a list of players, a genre, or a display schedule associated with the content shown on the television display or the viewing history of media content. In another example, the content shown on the television display comprises a list of media content, and the query comprises a request to display one of the items in the list. In yet another example, the content shown on the television display further comprises an item in the list of media content having focus, and determining (e.g., using user intent determining unit  3610 ) the user intent of the query comprises identifying the item having focus. In some examples, processing unit  3606  can be further configured to determine (e.g., using user intent determining unit  3610 ) the user intent of the query based on menu or search content recently displayed on the television display. In one example, the content shown on the television display comprises a page of listed media, and the recently displayed menu or search content comprises a previous page of listed media. In another example, the content shown on the television display comprises one or more categories of media, and one of the one or more categories of media has focus. In one example, processing unit  3606  can be further configured to determine (e.g., using user intent determining unit  3610 ) the user intent of the query based on the one of the one or more categories of media having focus. In another example, the categories of media comprise movies, television programs, and music. In other examples, processing unit  3606  can be further configured to determine alternative media content for display based on one or more of a user preference, a show popularity, and a status of a live sporting event, and to display a notification comprising the determined alternative media content. 
     In accordance with some examples,  FIG. 37  shows a functional block diagram of an electronic device  3700  configured in accordance with the principles of various described examples to, for example, suggest virtual assistant interactions for controlling media content. The functional blocks of the device can be implemented by hardware, software, or a combination of hardware and software to carry out the principles of the various described examples. It is understood by persons of skill in the art that the functional blocks described in  FIG. 37  can be combined or separated into sub-blocks to implement the principles of the various described examples. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein. 
     As shown in  FIG. 37 , electronic device  3700  can include a display unit  3702  configured to display media, interfaces, and other content (e.g., display  112 , touchscreen  246 , or the like). Electronic device  3700  can further include input unit  3704  configured to receive information, such as speech input, tactile input, gesture input, and the like (e.g., a microphone, a receiver, a touchscreen, a button, or the like). Electronic device  3700  can further include processing unit  3706  coupled to display unit  3702  and input unit  3704 . In some examples, processing unit  3706  can include a media content displaying unit  3708 , an input receiving unit  3710 , a query determining unit  3712 , and a query displaying unit  3714 . 
     Processing unit  3706  can be configured to display (e.g., using media content displaying unit  3708 ) media content on a display (e.g., display unit  3702 ). Processing unit  3706  can be further configured to receive (e.g., from input unit  3704  using input receiving unit  3710 ) an input from a user. Processing unit  3706  can be further configured to determine (e.g., using query determining unit  3712 ) one or more virtual assistant queries based on one or more of the media content and a viewing history of media content. Processing unit  3706  can be further configured to display (e.g., using query displaying unit  3714 ) the one or more virtual assistant queries on the display. 
     In one example, the input is received from the user on a remote control. In another example, the input is received from the user on a mobile telephone. In some examples, the one or more virtual assistant queries are overlaid on a moving image. In another example, the input comprises a double click of a button. In one example, the media content comprises a movie. In another example, the media content comprises a television show. In yet another example, the media content comprises a sporting event. 
     In some examples, the one or more virtual assistant queries comprise a query about a person appearing in the media content. In other examples, the one or more virtual assistant queries comprise a query about a character appearing in the media content. In another example, the one or more virtual assistant queries comprise a query for media content associated with a person appearing in the media content. In some examples, the media content or the viewing history of media content comprise an episode of a television show, and the one or more virtual assistant queries comprise a query about another episode of the television show. In another example, the media content or the viewing history of media content comprise an episode of a television show, and the one or more virtual assistant queries comprise a request to set a reminder to watch or record a subsequent episode of the media content. In still another example, the one or more virtual assistant queries comprise a query for descriptive details of the media content. In one example, the descriptive details comprise one or more of a show title, a character list, an actor list, an episode description, a team roster, a team ranking, or a show synopsis. 
     In some examples, processing unit  3706  can be further configured to receive a selection of one of the one or more virtual assistant queries. Processing unit  3706  can be further configured to display a result of the selected one of the one or more virtual assistant queries. In one example, determining the one or more virtual assistant queries comprises determining the one or more virtual assistant queries based on one or more of a query history, a user preference, or a query popularity. In another example, determining the one or more virtual assistant queries comprises determining the one or more virtual assistant queries based on media content available to the user for viewing. In yet another example, determining the one or more virtual assistant queries comprises determining the one or more virtual assistant queries based on a received notification. In still another example, determining the one or more virtual assistant queries comprises determining the one or more virtual assistant queries based on an active application. In other examples, processing unit  3706  can be further configured to determine alternative media content for display based on one or more of a user preference, a show popularity, and a status of a live sporting event, and to display a notification comprising the determined alternative media content. 
     Although examples have been fully described with reference to the accompanying drawings, it is to be noted that various changes and modifications will become apparent to those skilled in the art (e.g., modifying any of the systems or processes discussed herein according to the concepts described in relation to any other system or process discussed herein). Such changes and modifications are to be understood as being included within the scope of the various examples as defined by the appended claims.

Metadata:
Filing Date: 20170424
Publication Date: 20210126
Grant Date: 20210126
Priority Date: 20140630
Inventors: VAN OS, MARCEL
SADDLER, HARRY J.
NAPOLITANO, LIA T.
RUSSELL, JONATHAN H.
LISTER, PATRICK M.
DASARI, ROHIT
Assignee: APPLE INC
CPC Classifications: [{"code": "G09C1/00", "inventive": true, "first": true, "tree": "[]"}, {"code": "G06F16/7867", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/41265", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/41265", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F3/167", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04N21/41265", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4826", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4722", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4882", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4828", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4316", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/22", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/42203", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/73", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L2015/223", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04N21/47214", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04N21/42203", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4122", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4122", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4312", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4312", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/22", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/2541", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4532", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/7867", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/26", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F3/167", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/73", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4394", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04N21/47214", "inventive": false, "first": false, "tree": "[]"}, {"code": "G09C1/00", "inventive": true, "first": false, "tree": "[]"}, {"code": "G09C1/00", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/26", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4627", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/42222", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/47214", "inventive": false, "first": false, "tree": "[]"}, {"code": "G10L15/1815", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4312", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/22", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/26", "inventive": false, "first": false, "tree": "[]"}, {"code": "G10L17/22", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/73", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/858", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4438", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/482", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/25891", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/84", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L2015/223", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04N21/4122", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L2015/223", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04N21/42203", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/738", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/738", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L17/00", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4828", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/2541", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F3/167", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L17/22", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4438", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4394", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04N21/47214", "inventive": false, "first": false, "tree": "[]"}, {"code": "G06F16/738", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4882", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/84", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4627", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4126", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/482", "inventive": true, "first": false, "tree": "[]"}, {"code": "G09C1/00", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/26", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/73", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4122", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4316", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/42222", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/42203", "inventive": true, "first": false, "tree": "[]"}, {"code": "G06F16/7867", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/25891", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/1815", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L15/22", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L2015/223", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04N21/858", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4532", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4312", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L17/00", "inventive": true, "first": false, "tree": "[]"}]
Family ID: 54932017