Patent ID: 12229460

DETAILED DESCRIPTION

Users participate in online meetings via a client device on a regular basis, which at a minimum allow users to have a speech-based conversation, and which may additionally allow users to view other users (via cameras), share screens, engage in chat messages, etc. Online meetings may also be referred to as virtual meetings. A user's attention span may be limited. For example, a user may pay close attention to the meeting for a limited time period (e.g., the first 15 minutes of the meeting), and may then switch to another task on the client device or otherwise. In other cases, a user may not pay attention to the meeting when the content being presented is not of particular interest to the user. The inventors have recognized and appreciated that a user may thus at least occasionally miss some content of interest during an online meeting.

Offered are techniques for providing indications during an online meeting to indicate to a user that content being presented may be of potential interest. Some embodiments involve identifying a keyword associated with an online meeting, determining that content being presented during the online meeting corresponds to the keyword, and causing output of an indication representing that the content being presented is potentially of interest. In such embodiments, the keyword may be selected or otherwise provided by a user. In such embodiments, the indication may be outputted as a signal or additional stimulation to bring the user's attention back to the online meeting when content of interest corresponding to the keyword is being presented.

Some embodiments may additionally or alternatively involve determining meeting “attentiveness” based on the number of participants paying attention to the online meeting. Such embodiments may involve determining a certain number or percentage of participants, via their respective client devices, that have the online meeting in an active window, and when that number or percentage satisfies a condition (e.g., a threshold level), then an indication may be outputted, where the indication represents that the content being presented is potentially of interest. In such embodiments, the indication may be outputted based on the content being of interest to most of the participants, e.g. by inferring from a high level of general interest in the content that the content is likely also of interest to the user for whom the indication is outputted.

In some implementations, the user may use a remote access technique to access (launch/open) a meeting application to engage in the online meeting. Such remote access techniques may be enabled, for example, by a multi-resource access system500(described below in relation toFIGS.5A-5Cin Section E). In some implementations, the indications may be presented by the meeting application. In other implementations, the indications may additionally or alternatively be presented by the multi-resource access system500, e.g., as an overlay to the meeting application at the user's client device.

For purposes of reading the description below of the various embodiments, the following descriptions of the sections of the specification and their respective contents may be helpful:

Section A provides an introduction to example embodiments of a system for providing indications of potentially interesting content during online meetings;

Section B describes a network environment which may be useful for practicing embodiments described herein;

Section C describes a computing system which may be useful for practicing embodiments described herein;

Section D describes embodiments of systems and methods for accessing computing resources using a cloud computing environment;

Section E describes embodiments of systems and methods for managing and streamlining access by clients to a variety of resources;

Section F provides a more detailed description of example embodiments of the system for providing indications of potentially interesting content during online meetings introduced in Section A; and

Section G describes example implementations of methods, systems/devices, and computer-readable media in accordance with the present disclosure.

A. Introduction to Illustrative Embodiments of a System for Providing Indications of Potentially Interesting Content During Online Meetings

FIG.1Ashows an example system configuration with which some aspects of the present disclosure may be implemented. As shown, a computing system100may be in communication with a client device202operated by a user102. The computing system100may be in communication with the client device202via one or more networks206(shown inFIG.2). The client device202may provide a user interface104, which may be configured to enable the user102to engage in an online meeting. The computing system100may be implemented by one or more servers204. Examples of components that may be used to implement the client device202and the server(s)204, as well as examples of computing environments in which such components may be deployed, are described below in connection withFIGS.2-4.

An application may be launched via the client device202, which may cause presentation of the user interface104and enable the user102to participate in an online meeting. In some embodiments, the user interface104may be of a meeting application, such as GoToMeeting, Microsoft Teams, ZOOM, Google Meet, Slack, etc. In some embodiments, the computing system100may be configured to provide online meeting capabilities, and may be configured to determine when content of the online meeting is potentially of interest to a user, and present indications accordingly.

In other embodiments, the user interface104may be of a resource access application522of the multi-resource access system500shown inFIGS.5B-5Cand described below in Section E. One or more SaaS applications508may be accessed via the client device202, using the user interface104of the resource access application522. In some implementations, one of the SaaS applications508may be a meeting application that enables the user102to participate in online meetings. In such embodiments, the computing system100may include one or more components of, and/or operate in conjunction with, the multi-resource access system500shown inFIGS.5A-5Cand described below in Section E.

In some implementations, the computing system100may perform a routine110, as shown inFIG.1A. An online meeting may be launched via the client device202and may be presented via the user interface104. The client device202may send data indicative of the launched online meeting to the computing system100. In some implementations, the client device202may also send data identifying the user102and/or the client device202. At a step120of the routine110, the computing system100may determine one or more keywords of interest for the online meeting being presented via the user interface104. The computing system100may, for example, determine the keyword(s) of interest using a data storage and the data received from the client device202. As described below in Section F, in some implementations, the computing system100may include, or may be in communication with, a data storage storing data associating keywords with online meetings for particular users and/or client devices. To enable the computing system100to identify the correct keywords to use for comparison purposes (as described below), the data received from the client device202may be indicative of which online meeting is launched, and may additionally identify the user102and/or the client device202.

At a step122of the routine110, the computing system100may determine that content of the online meeting corresponds to one or more keywords of interest. The content of the online meeting may, for example, include speech from one or more participants (e.g., the user102and/or other users) of the online meeting, which may be captured as audio data. In some implementations, the speech from the participants may be captured as audio data and converted to text data using automatic speech recognition techniques and/or speech-to-text techniques. The audio data and/or the text data may be determined by the computing system100based on voice inputs provided by the participants of the online meeting via their respective client devices202. In some implementations, the content of the online meeting may additionally or alternatively include information shared by the participants using a screen share feature, which may involve displaying of text and/or images. In such implementations, the computing system100may additionally or alternatively process the shared information (text and/or images) using computer vision techniques, optical character recognition (OCR) techniques, and/or other techniques to understand the information being shared. In some implementations, the content of the online meeting may additionally or alternatively include non-speech audio (e.g., music, recorded audio, etc.), video, chat messages, and/or other types of inputs that may be provided by the participants of the online meeting. Using any of the foregoing types of content being presented during the online meeting, the computing system100may determine that the content corresponds to one or more keywords of interest (e.g., as determined in the step120of the routine110).

At a step124of the routine110, the computing system100may cause, in response to the content of the online meeting corresponding to one or more keywords of interest, the user interface104to output an indication108that the content of the online meeting being presented is potentially of interest.FIG.1Bshows an example user interface104including an example indication108that content being presented is potentially of interest to the user102. As shown inFIG.1B, in some implementations, the indication108may be a pop-up dialog box, which may be displayed within the user interface104. In other implementations, the indication108may additionally or alternatively be overlaid on top of the online meeting content. In some implementations, the indication108may be presented in such a manner that the indication108is overlaid on top of any content that is actively being displayed at the client device202, so that the indication108is visible to the user102even when a window/application presenting the online meeting is minimized or in the background. In other implementations, output of the indication108may cause the window/application presenting the online meeting, which may have been previously minimized or in the background, to become maximized or brought to the foreground, so that both the indication108and the online meeting become visible to the user102.

In some implementations, the indication108may include an audible indication, such as a chime, a beep, or other sound that may be outputted via one or more speakers of the client device202. In some implementations, in addition to or in lieu of a pop-up dialog box, the indication108may include an image or other graphical user interface element. In some implementations, the indication108may be presented via a user interface other than the user interface104, such as a notification menu/bar provided by an operating system of the client device202or by the resource access application522.

In this manner, the computing system100can provide an indication when content being presented during an online meeting corresponds to a keyword of interest.

FIG.1Cshows another example configuration of the client devices202and the computing system100with which some aspects of the present disclosure may be implemented. As shown, the computing system100may be in communication with multiple client devices202via one or more networks206(shown inFIG.2). An online meeting may be launched at multiple client devices202, and may be presented via respective user interfaces104a,104b,104cto respective users102a,102b,102c. For illustrative purposes,FIG.1Cshows a first client device202apresenting the online meeting via a first user interface104a, a second client device202bpresenting the online meeting via a second user interface104b, and a third client device202cpresenting the online meeting via a third user interface104c. The computing system100may enable access and participation in the online meeting by receiving and sending data being shared/inputted via the client devices202.

In some implementations, the computing system100may perform a routine130, as shown inFIG.1C. At a step132of the routine130, the computing system100may determine data indicative of a number of client devices202, from a plurality of client devices202participating in the online meeting, for which the user interface104for the online meeting is being presented in an active window. In some implementations, for example, the client devices202may send, to the computing system100, data indicating whether the user interface104is being presented in an active window or an inactive window at the client device202. In some implementations, the online meeting may be considered as being presented in an active window when the user interface104is presently fully visible via a screen of the client device202. In such implementations, the online meeting may be considered as being presented in an inactive window when the user interface104is minimized or is covered by another user interface, window or content different from the online meeting, such that the content of the online meeting is not presently fully visible on the screen of the client device202. The user interface104being presented in an active window may be also be referred to as the user interface104being in the foreground at the client device202, and the user interface104being presented in an inactive window may be also be referred to as the user interface104being in the background at the client device202.

As one example, the second client device202bmay send, to the computing system100, data indicative of whether the second user interface104bis being presented in an active window. As a further example, the third client device202cmay send, to the computing system100, data indicative of whether the third user interface104cis being presented in an active window. Using the data received from the plurality of client devices202participating in the online meeting, the computing system100may determine the number of client devices202for which the user interface104is currently being presented in an active window.

At a step134of the routine130, the computing system100may cause, based at least in part on the data (received in the step132), the first client device202a, from the plurality of client devices202, to output an indication109that content of the online meeting being presented is potentially of interest.FIG.1Dshows an example user interface104aincluding an example indication109that content being presented is potentially of interest to the first user102a. As shown inFIG.1D, in some implementations, the indication109may be a pop-up dialog box, which may be displayed within the user interface104a. In other implementations, the indication109may additionally or alternatively be overlaid on top of the online meeting content. In some implementations, the indication109may be presented in such a manner that the indication109is overlaid on top of any content that is actively being displayed at the first client device202a, so that the indication109is visible to the first user102aeven when a window/application presenting the online meeting is minimized or in the background. In other implementations, output of the indication109may cause the window/application presenting the online meeting, which may have been previously minimized or in the background, to become maximized or brought to the foreground, so that both the indication109and the online meeting become visible to the first user102a.

In some implementations, the indication109may additionally or alternatively include an audible indication, such as a chime, a beep, or other sound that may be outputted via one or more speaker of the first client device202a. In some implementations, in addition to or in lieu of a pop-up dialog box, the indication109may include an image or other graphical user interface element. In some implementations, the indication109may be presented via a user interface other than the user interface104a, such as a notification menu/bar provided by an operating system of the first client device202aor by the resource access application522.

In this manner, the computing system100can provide an indication when content being presented during an online meeting is being actively viewed by a certain number of participants of the online meeting.

Additional details and example implementations of embodiments of the present disclosure are set forth below in Section F, following a description of example systems and network environments in which such embodiments may be deployed.

B. Network Environment

Referring toFIG.2, an illustrative network environment200is depicted. As shown, the network environment200may include one or more clients202(1)-202(n) (also generally referred to as local machine(s)202or client(s)202) in communication with one or more servers204(1)-204(n) (also generally referred to as remote machine(s)204or server(s)204) via one or more networks206(1)-206(n) (generally referred to as network(s)206). In some embodiments, a client202may communicate with a server204via one or more appliances208(1)-208(n) (generally referred to as appliance(s)208or gateway(s)208). In some embodiments, a client202may have the capacity to function as both a client node seeking access to resources provided by a server204and as a server204providing access to hosted resources for other clients202.

Although the embodiment shown inFIG.2shows one or more networks206between the clients202and the servers204, in other embodiments, the clients202and the servers204may be on the same network206. When multiple networks206are employed, the various networks206may be the same type of network or different types of networks. For example, in some embodiments, the networks206(1) and206(n) may be private networks such as local area network (LANs) or company Intranets, while the network206(2) may be a public network, such as a metropolitan area network (MAN), wide area network (WAN), or the Internet. In other embodiments, one or both of the network206(1) and the network206(n), as well as the network206(2), may be public networks. In yet other embodiments, all three of the network206(1), the network206(2) and the network206(n) may be private networks. The networks206may employ one or more types of physical networks and/or network topologies, such as wired and/or wireless networks, and may employ one or more communication transport protocols, such as transmission control protocol (TCP), internet protocol (IP), user datagram protocol (UDP) or other similar protocols. In some embodiments, the network(s)206may include one or more mobile telephone networks that use various protocols to communicate among mobile devices. In some embodiments, the network(s)206may include one or more wireless local-area networks (WLANs). For short range communications within a WLAN, clients202may communicate using 802.11, Bluetooth, and/or Near Field Communication (NFC).

As shown inFIG.2, one or more appliances208may be located at various points or in various communication paths of the network environment200. For example, the appliance208(1) may be deployed between the network206(1) and the network206(2), and the appliance208(n) may be deployed between the network206(2) and the network206(n). In some embodiments, the appliances208may communicate with one another and work in conjunction to, for example, accelerate network traffic between the clients202and the servers204. In some embodiments, appliances208may act as a gateway between two or more networks. In other embodiments, one or more of the appliances208may instead be implemented in conjunction with or as part of a single one of the clients202or servers204to allow such device to connect directly to one of the networks206. In some embodiments, one of more appliances208may operate as an application delivery controller (ADC) to provide one or more of the clients202with access to business applications and other data deployed in a datacenter, the cloud, or delivered as Software as a Service (SaaS) across a range of client devices, and/or provide other functionality such as load balancing, etc. In some embodiments, one or more of the appliances208may be implemented as network devices sold by Citrix Systems, Inc., of Fort Lauderdale, FL, such as Citrix Gateway™ or Citrix ADC™.

A server204may be any server type such as, for example: a file server; an application server; a web server; a proxy server; an appliance; a network appliance; a gateway; an application gateway; a gateway server; a virtualization server; a deployment server; a Secure Sockets Layer Virtual Private Network (SSL VPN) server; a firewall; a web server; a server executing an active directory; a cloud server; or a server executing an application acceleration program that provides firewall functionality, application functionality, or load balancing functionality.

A server204may execute, operate or otherwise provide an application that may be any one of the following: software; a program; executable instructions; a virtual machine; a hypervisor; a web browser; a web-based client; a client-server application; a thin-client computing client; an ActiveX control; a Java applet; software related to voice over internet protocol (VoIP) communications like a soft IP telephone; an application for streaming video and/or audio; an application for facilitating real-time-data communications; a HTTP client; a FTP client; an Oscar client; a Telnet client; or any other set of executable instructions.

In some embodiments, a server204may execute a remote presentation services program or other program that uses a thin-client or a remote-display protocol to capture display output generated by an application executing on a server204and transmit the application display output to a client device202.

In yet other embodiments, a server204may execute a virtual machine providing, to a user of a client202, access to a computing environment. The client202may be a virtual machine. The virtual machine may be managed by, for example, a hypervisor, a virtual machine manager (VMM), or any other hardware virtualization technique within the server204.

As shown inFIG.2, in some embodiments, groups of the servers204may operate as one or more server farms210. The servers204of such server farms210may be logically grouped, and may either be geographically co-located (e.g., on premises) or geographically dispersed (e.g., cloud based) from the clients202and/or other servers204. In some embodiments, two or more server farms210may communicate with one another, e.g., via respective appliances208connected to the network206(2), to allow multiple server-based processes to interact with one another.

As also shown inFIG.2, in some embodiments, one or more of the appliances208may include, be replaced by, or be in communication with, one or more additional appliances, such as WAN optimization appliances212(1)-212(n), referred to generally as WAN optimization appliance(s)212. For example, WAN optimization appliances212may accelerate, cache, compress or otherwise optimize or improve performance, operation, flow control, or quality of service of network traffic, such as traffic to and/or from a WAN connection, such as optimizing Wide Area File Services (WAFS), accelerating Server Message Block (SMB) or Common Internet File System (CIFS). In some embodiments, one or more of the appliances212may be a performance enhancing proxy or a WAN optimization controller.

In some embodiments, one or more of the appliances208,212may be implemented as products sold by Citrix Systems, Inc., of Fort Lauderdale, FL, such as Citrix SD-WAN™ or Citrix Cloud™. For example, in some implementations, one or more of the appliances208,212may be cloud connectors that enable communications to be exchanged between resources within a cloud computing environment and resources outside such an environment, e.g., resources hosted within a data center of+ an organization.

C. Computing Environment

FIG.3illustrates an example of a computing system300that may be used to implement one or more of the respective components (e.g., the clients202, the servers204, the appliances208,212) within the network environment200shown inFIG.2. As shown inFIG.3, the computing system300may include one or more processors302, volatile memory304(e.g., RAM), non-volatile memory306(e.g., one or more hard disk drives (HDDs) or other magnetic or optical storage media, one or more solid state drives (SSDs) such as a flash drive or other solid state storage media, one or more hybrid magnetic and solid state drives, and/or one or more virtual storage volumes, such as a cloud storage, or a combination of such physical storage volumes and virtual storage volumes or arrays thereof), a user interface (UI)308, one or more communications interfaces310, and a communication bus312. The user interface308may include a graphical user interface (GUI)314(e.g., a touchscreen, a display, etc.) and one or more input/output (I/O) devices316(e.g., a mouse, a keyboard, etc.). The non-volatile memory306may store an operating system318, one or more applications320, and data322such that, for example, computer instructions of the operating system318and/or applications320are executed by the processor(s)302out of the volatile memory304. Data may be entered using an input device of the GUI314or received from I/O device(s)316. Various elements of the computing system300may communicate via communication the bus312. The computing system300as shown inFIG.3is shown merely as an example, as the clients202, servers204and/or appliances208and212may be implemented by any computing or processing environment and with any type of machine or set of machines that may have suitable hardware and/or software capable of operating as described herein.

The processor(s)302may be implemented by one or more programmable processors executing one or more computer programs to perform the functions of the system. As used herein, the term “processor” describes an electronic circuit that performs a function, an operation, or a sequence of operations. The function, operation, or sequence of operations may be hard coded into the electronic circuit or soft coded by way of instructions held in a memory device. A “processor” may perform the function, operation, or sequence of operations using digital values or using analog signals. In some embodiments, the “processor” can be embodied in one or more application specific integrated circuits (ASICs), microprocessors, digital signal processors, microcontrollers, field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), multi-core processors, or general-purpose computers with associated memory. The “processor” may be analog, digital or mixed-signal. In some embodiments, the “processor” may be one or more physical processors or one or more “virtual” (e.g., remotely located or “cloud”) processors.

The communications interfaces310may include one or more interfaces to enable the computing system300to access a computer network such as a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or the Internet through a variety of wired and/or wireless connections, including cellular connections.

As noted above, in some embodiments, one or more computing systems300may execute an application on behalf of a user of a client computing device (e.g., a client202shown inFIG.2), may execute a virtual machine, which provides an execution session within which applications execute on behalf of a user or a client computing device (e.g., a client202shown inFIG.2), such as a hosted desktop session, may execute a terminal services session to provide a hosted desktop environment, or may provide access to a computing environment including one or more of: one or more applications, one or more desktop applications, and one or more desktop sessions in which one or more applications may execute.

D. Systems and Methods for Delivering Shared Resources Using a Cloud Computing Environment

Referring toFIG.4, a cloud computing environment400is depicted, which may also be referred to as a cloud environment, cloud computing or cloud network. The cloud computing environment400can provide the delivery of shared computing services and/or resources to multiple users or tenants. For example, the shared resources and services can include, but are not limited to, networks, network bandwidth, servers, processing, memory, storage, applications, virtual machines, databases, software, hardware, analytics, and intelligence.

In the cloud computing environment400, one or more clients202(such as those described in connection withFIG.2) are in communication with a cloud network404. The cloud network404may include back-end platforms, e.g., servers, storage, server farms and/or data centers. The clients202may correspond to a single organization/tenant or multiple organizations/tenants. More particularly, in one example implementation, the cloud computing environment400may provide a private cloud serving a single organization (e.g., enterprise cloud). In another example, the cloud computing environment400may provide a community or public cloud serving multiple organizations/tenants.

In some embodiments, a gateway appliance(s) or service may be utilized to provide access to cloud computing resources and virtual sessions. By way of example, Citrix Gateway, provided by Citrix Systems, Inc., may be deployed on-premises or on public clouds to provide users with secure access and single sign-on to virtual, SaaS and web applications. Furthermore, to protect users from web threats, a gateway such as Citrix Secure Web Gateway may be used. Citrix Secure Web Gateway uses a cloud-based service and a local cache to check for URL reputation and category.

In still further embodiments, the cloud computing environment400may provide a hybrid cloud that is a combination of a public cloud and one or more resources located outside such a cloud, such as resources hosted within one or more data centers of an organization. Public clouds may include public servers that are maintained by third parties to the clients202or the enterprise/tenant. The servers may be located off-site in remote geographical locations or otherwise. In some implementations, one or more cloud connectors may be used to facilitate the exchange of communications between one more resources within the cloud computing environment400and one or more resources outside of such an environment.

The cloud computing environment400can provide resource pooling to serve multiple users via clients202through a multi-tenant environment or multi-tenant model with different physical and virtual resources dynamically assigned and reassigned responsive to different demands within the respective environment. The multi-tenant environment can include a system or architecture that can provide a single instance of software, an application or a software application to serve multiple users. In some embodiments, the cloud computing environment400can provide on-demand self-service to unilaterally provision computing capabilities (e.g., server time, network storage) across a network for multiple clients202. By way of example, provisioning services may be provided through a system such as Citrix Provisioning Services (Citrix PVS). Citrix PVS is a software-streaming technology that delivers patches, updates, and other configuration information to multiple virtual desktop endpoints through a shared desktop image. The cloud computing environment400can provide an elasticity to dynamically scale out or scale in response to different demands from one or more clients202. In some embodiments, the cloud computing environment400may include or provide monitoring services to monitor, control and/or generate reports corresponding to the provided shared services and resources.

In some embodiments, the cloud computing environment400may provide cloud-based delivery of different types of cloud computing services, such as Software as a service (SaaS)402, Platform as a Service (PaaS)404, Infrastructure as a Service (IaaS)406, and Desktop as a Service (DaaS)408, for example. IaaS may refer to a user renting the use of infrastructure resources that are needed during a specified time period. IaaS providers may offer storage, networking, servers or virtualization resources from large pools, allowing the users to quickly scale up by accessing more resources as needed. Examples of IaaS include AMAZON WEB SERVICES provided by Amazon.com, Inc., of Seattle, Washington, RACKSPACE CLOUD provided by Rackspace US, Inc., of San Antonio, Texas, Google Compute Engine provided by Google Inc. of Mountain View, California, or RIGHTSCALE provided by RightScale, Inc., of Santa Barbara, California.

PaaS providers may offer functionality provided by IaaS, including, e.g., storage, networking, servers or virtualization, as well as additional resources such as, e.g., the operating system, middleware, or runtime resources. Examples of PaaS include WINDOWS AZURE provided by Microsoft Corporation of Redmond, Washington, Google App Engine provided by Google Inc., and HEROKU provided by Heroku, Inc. of San Francisco, California.

SaaS providers may offer the resources that PaaS provides, including storage, networking, servers, virtualization, operating system, middleware, or runtime resources. In some embodiments, SaaS providers may offer additional resources including, e.g., data and application resources. Examples of SaaS include GOOGLE APPS provided by Google Inc., SALESFORCE provided by Salesforce.com Inc. of San Francisco, California, or OFFICE 365 provided by Microsoft Corporation. Examples of SaaS may also include data storage providers, e.g. Citrix ShareFile from Citrix Systems, DROPBOX provided by Dropbox, Inc. of San Francisco, California, Microsoft SKYDRIVE provided by Microsoft Corporation, Google Drive provided by Google Inc., or Apple ICLOUD provided by Apple Inc. of Cupertino, California.

Similar to SaaS, DaaS (which is also known as hosted desktop services) is a form of virtual desktop infrastructure (VDI) in which virtual desktop sessions are typically delivered as a cloud service along with the apps used on the virtual desktop. Citrix Cloud from Citrix Systems is one example of a DaaS delivery platform. DaaS delivery platforms may be hosted on a public cloud computing infrastructure, such as AZURE CLOUD from Microsoft Corporation of Redmond, Washington, or AMAZON WEB SERVICES provided by Amazon.com, Inc., of Seattle, Washington, for example. In the case of Citrix Cloud, Citrix Workspace app may be used as a single-entry point for bringing apps, files and desktops together (whether on-premises or in the cloud) to deliver a unified experience.

E. Systems and Methods for Managing and Streamlining Access by Client Devices to a Variety of Resources

FIG.5Ais a block diagram of an example multi-resource access system500in which one or more resource management services502may manage and streamline access by one or more clients202to one or more resource feeds504(via one or more gateway services506) and/or one or more software-as-a-service (SaaS) applications508. In particular, the resource management service(s)502may employ an identity provider510to authenticate the identity of a user of a client202and, following authentication, identify one or more resources the user is authorized to access. In response to the user selecting one of the identified resources, the resource management service(s)502may send appropriate access credentials to the requesting client202, and the client202may then use those credentials to access the selected resource. For the resource feed(s)504, the client202may use the supplied credentials to access the selected resource via a gateway service506. For the SaaS application(s)508, the client202may use the credentials to access the selected application directly.

The client(s)202may be any type of computing devices capable of accessing the resource feed(s)504and/or the SaaS application(s)508, and may, for example, include a variety of desktop or laptop computers, smartphones, tablets, etc. The resource feed(s)504may include any of numerous resource types and may be provided from any of numerous locations. In some embodiments, for example, the resource feed(s)504may include one or more systems or services for providing virtual applications and/or desktops to the client(s)202, one or more file repositories and/or file sharing systems, one or more secure browser services, one or more access control services for the SaaS applications508, one or more management services for local applications on the client(s)202, one or more internet enabled devices or sensors, etc. The resource management service(s)502, the resource feed(s)504, the gateway service(s)506, the SaaS application(s)508, and the identity provider510may be located within an on-premises data center of an organization for which the multi-resource access system500is deployed, within one or more cloud computing environments, or elsewhere.

FIG.5Bis a block diagram showing an example implementation of the multi-resource access system500shown inFIG.5Ain which various resource management services502as well as a gateway service506are located within a cloud computing environment512. The cloud computing environment may, for example, include Microsoft Azure Cloud, Amazon Web Services, Google Cloud, or IBM Cloud. It should be appreciated, however, that in other implementations, one or more (or all) of the components of the resource management services502and/or the gateway service506may alternatively be located outside the cloud computing environment512, such as within a data center hosted by an organization.

For any of the illustrated components (other than the client202) that are not based within the cloud computing environment512, cloud connectors (not shown inFIG.5B) may be used to interface those components with the cloud computing environment512. Such cloud connectors may, for example, run on Windows Server instances and/or Linux Server instances hosted in resource locations and may create a reverse proxy to route traffic between those resource locations and the cloud computing environment512. In the illustrated example, the cloud-based resource management services502include a client interface service514, an identity service516, a resource feed service518, and a single sign-on service520. As shown, in some embodiments, the client202may use a resource access application522to communicate with the client interface service514as well as to present a user interface on the client202that a user524can operate to access the resource feed(s)504and/or the SaaS application(s)508. The resource access application522may either be installed on the client202, or may be executed by the client interface service514(or elsewhere in the multi-resource access system500) and accessed using a web browser (not shown inFIG.5B) on the client202.

As explained in more detail below, in some embodiments, the resource access application522and associated components may provide the user524with a personalized, all-in-one interface enabling instant and seamless access to all the user's SaaS and web applications, files, virtual Windows applications, virtual Linux applications, desktops, mobile applications, Citrix Virtual Apps and Desktops™, local applications, and other data.

When the resource access application522is launched or otherwise accessed by the user524, the client interface service514may send a sign-on request to the identity service516. In some embodiments, the identity provider510may be located on the premises of the organization for which the multi-resource access system500is deployed. The identity provider510may, for example, correspond to an on-premises Windows Active Directory. In such embodiments, the identity provider510may be connected to the cloud-based identity service516using a cloud connector (not shown inFIG.5B), as described above. Upon receiving a sign-on request, the identity service516may cause the resource access application522(via the client interface service514) to prompt the user524for the user's authentication credentials (e.g., user-name and password). Upon receiving the user's authentication credentials, the client interface service514may pass the credentials along to the identity service516, and the identity service516may, in turn, forward them to the identity provider510for authentication, for example, by comparing them against an Active Directory domain. Once the identity service516receives confirmation from the identity provider510that the user's identity has been properly authenticated, the client interface service514may send a request to the resource feed service518for a list of subscribed resources for the user524.

In other embodiments (not illustrated inFIG.5B), the identity provider510may be a cloud-based identity service, such as a Microsoft Azure Active Directory. In such embodiments, upon receiving a sign-on request from the client interface service514, the identity service516may, via the client interface service514, cause the client202to be redirected to the cloud-based identity service to complete an authentication process. The cloud-based identity service may then cause the client202to prompt the user524to enter the user's authentication credentials. Upon determining the user's identity has been properly authenticated, the cloud-based identity service may send a message to the resource access application522indicating the authentication attempt was successful, and the resource access application522may then inform the client interface service514of the successfully authentication. Once the identity service516receives confirmation from the client interface service514that the user's identity has been properly authenticated, the client interface service514may send a request to the resource feed service518for a list of subscribed resources for the user524.

The resource feed service518may request identity tokens for configured resources from the single sign-on service520. The resource feed service518may then pass the feed-specific identity tokens it receives to the points of authentication for the respective resource feeds504. The resource feeds504may then respond with lists of resources configured for the respective identities. The resource feed service518may then aggregate all items from the different feeds and forward them to the client interface service514, which may cause the resource access application522to present a list of available resources on a user interface of the client202. The list of available resources may, for example, be presented on the user interface of the client202as a set of selectable icons or other elements corresponding to accessible resources. The resources so identified may, for example, include one or more virtual applications and/or desktops (e.g., Citrix Virtual Apps and Desktops™, VMware Horizon, Microsoft RDS, etc.), one or more file repositories and/or file sharing systems (e.g., Sharefile®, one or more secure browsers, one or more internet enabled devices or sensors, one or more local applications installed on the client202, and/or one or more SaaS applications508to which the user524has subscribed. The lists of local applications and the SaaS applications508may, for example, be supplied by resource feeds504for respective services that manage which such applications are to be made available to the user524via the resource access application522. Examples of SaaS applications508that may be managed and accessed as described herein include Microsoft Office 365 applications, SAP SaaS applications, Workday applications, etc.

For resources other than local applications and the SaaS application(s)508, upon the user524selecting one of the listed available resources, the resource access application522may cause the client interface service514to forward a request for the specified resource to the resource feed service518. In response to receiving such a request, the resource feed service518may request an identity token for the corresponding feed from the single sign-on service520. The resource feed service518may then pass the identity token received from the single sign-on service520to the client interface service514where a launch ticket for the resource may be generated and sent to the resource access application522. Upon receiving the launch ticket, the resource access application522may initiate a secure session to the gateway service506and present the launch ticket. When the gateway service506is presented with the launch ticket, it may initiate a secure session to the appropriate resource feed and present the identity token to that feed to seamlessly authenticate the user524. Once the session initializes, the client202may proceed to access the selected resource.

When the user524selects a local application, the resource access application522may cause the selected local application to launch on the client202. When the user524selects a SaaS application508, the resource access application522may cause the client interface service514to request a one-time uniform resource locator (URL) from the gateway service506as well a preferred browser for use in accessing the SaaS application508. After the gateway service506returns the one-time URL and identifies the preferred browser, the client interface service514may pass that information along to the resource access application522. The client202may then launch the identified browser and initiate a connection to the gateway service506. The gateway service506may then request an assertion from the single sign-on service520. Upon receiving the assertion, the gateway service506may cause the identified browser on the client202to be redirected to the logon page for identified SaaS application508and present the assertion. The SaaS may then contact the gateway service506to validate the assertion and authenticate the user524. Once the user has been authenticated, communication may occur directly between the identified browser and the selected SaaS application508, thus allowing the user524to use the client202to access the selected SaaS application508.

In some embodiments, the preferred browser identified by the gateway service506may be a specialized browser embedded in the resource access application522(when the resource application is installed on the client202) or provided by one of the resource feeds504(when the resource access application522is located remotely), e.g., via a secure browser service. In such embodiments, the SaaS applications508may incorporate enhanced security policies to enforce one or more restrictions on the embedded browser. Examples of such policies include (1) requiring use of the specialized browser and disabling use of other local browsers, (2) restricting clipboard access, e.g., by disabling cut/copy/paste operations between the application and the clipboard, (3) restricting printing, e.g., by disabling the ability to print from within the browser, (3) restricting navigation, e.g., by disabling the next and/or back browser buttons, (4) restricting downloads, e.g., by disabling the ability to download from within the SaaS application, and (5) displaying watermarks, e.g., by overlaying a screen-based watermark showing the username and IP address associated with the client202such that the watermark will appear as displayed on the screen if the user tries to print or take a screenshot. Further, in some embodiments, when a user selects a hyperlink within a SaaS application, the specialized browser may send the URL for the link to an access control service (e.g., implemented as one of the resource feed(s)504) for assessment of its security risk by a web filtering service. For approved URLs, the specialized browser may be permitted to access the link. For suspicious links, however, the web filtering service may have the client interface service514send the link to a secure browser service, which may start a new virtual browser session with the client202, and thus allow the user to access the potentially harmful linked content in a safe environment.

In some embodiments, in addition to or in lieu of providing the user524with a list of resources that are available to be accessed individually, as described above, the user524may instead be permitted to choose to access a streamlined feed of event notifications and/or available actions that may be taken with respect to events that are automatically detected with respect to one or more of the resources. This streamlined resource activity feed, which may be customized for individual users, may allow users to monitor important activity involving all of their resources—SaaS applications, web applications, Windows applications, Linux applications, desktops, file repositories and/or file sharing systems, and other data through a single interface, without needing to switch context from one resource to another. Further, event notifications in a resource activity feed may be accompanied by a discrete set of user interface elements, e.g., “approve,” “deny,” and “see more detail” buttons, allowing a user to take one or more simple actions with respect to events right within the user's feed. In some embodiments, such a streamlined, intelligent resource activity feed may be enabled by one or more micro-applications, or “microapps,” that can interface with underlying associated resources using APIs or the like. The responsive actions may be user-initiated activities that are taken within the microapps and that provide inputs to the underlying applications through the API or other interface. The actions a user performs within the microapp may, for example, be designed to address specific common problems and use cases quickly and easily, adding to increased user productivity (e.g., request personal time off, submit a help desk ticket, etc.). In some embodiments, notifications from such event-driven microapps may additionally or alternatively be pushed to clients202to notify a user524of something that requires the user's attention (e.g., approval of an expense report, new course available for registration, etc.).

FIG.5Cis a block diagram similar to that shown inFIG.5Bbut in which the available resources (e.g., SaaS applications, web applications, Windows applications, Linux applications, desktops, file repositories and/or file sharing systems, and other data) are represented by a single box526labeled “systems of record,” and further in which several different services are included within the resource management services block502. As explained below, the services shown inFIG.5Cmay enable the provision of a streamlined resource activity feed and/or notification process for a client202. In the example shown, in addition to the client interface service514discussed above, the illustrated services include a microapp service528, a data integration provider service530, a credential wallet service532, an active data cache service534, an analytics service536, and a notification service538. In various embodiments, the services shown inFIG.5Cmay be employed either in addition to or instead of the different services shown inFIG.5B. Further, as noted above in connection withFIG.5B, it should be appreciated that, in other implementations, one or more (or all) of the components of the resource management services502shown inFIG.5Cmay alternatively be located outside the cloud computing environment512, such as within a data center hosted by an organization.

In some embodiments, a microapp may be a single use case made available to users to streamline functionality from complex enterprise applications. Microapps may, for example, utilize APIs available within SaaS, web, or home-grown applications allowing users to see content without needing a full launch of the application or the need to switch context. Absent such microapps, users would need to launch an application, navigate to the action they need to perform, and then perform the action. Microapps may streamline routine tasks for frequently performed actions and provide users the ability to perform actions within the resource access application522without having to launch the native application. The system shown inFIG.5Cmay, for example, aggregate relevant notifications, tasks, and insights, and thereby give the user524a dynamic productivity tool. In some embodiments, the resource activity feed may be intelligently populated by utilizing machine learning and artificial intelligence (AI) algorithms. Further, in some implementations, microapps may be configured within the cloud computing environment512, thus giving administrators a powerful tool to create more productive workflows, without the need for additional infrastructure. Whether pushed to a user or initiated by a user, microapps may provide short cuts that simplify and streamline key tasks that would otherwise require opening full enterprise applications. In some embodiments, out-of-the-box templates may allow administrators with API account permissions to build microapp solutions targeted for their needs. Administrators may also, in some embodiments, be provided with the tools they need to build custom microapps.

Referring toFIG.5C, the systems of record526may represent the applications and/or other resources the resource management services502may interact with to create microapps. These resources may be SaaS applications, legacy applications, or homegrown applications, and can be hosted on-premises or within a cloud computing environment. Connectors with out-of-the-box templates for several applications may be provided and integration with other applications may additionally or alternatively be configured through a microapp page builder. Such a microapp page builder may, for example, connect to legacy, on-premises, and SaaS systems by creating streamlined user workflows via microapp actions. The resource management services502, and in particular the data integration provider service530, may, for example, support REST API, JSON, OData-JSON, and 6ML. As explained in more detail below, the data integration provider service530may also write back to the systems of record, for example, using OAuth2 or a service account.

In some embodiments, the microapp service528may be a single-tenant service responsible for creating the microapps. The microapp service528may send raw events, pulled from the systems of record526, to the analytics service536for processing. The microapp service may, for example, periodically pull active data from the systems of record526.

In some embodiments, the active data cache service534may be single-tenant and may store all configuration information and microapp data. It may, for example, utilize a per-tenant database encryption key and per-tenant database credentials.

In some embodiments, the credential wallet service532may store encrypted service credentials for the systems of record526and user OAuth2 tokens.

In some embodiments, the data integration provider service530may interact with the systems of record526to decrypt end-user credentials and write back actions to the systems of record526under the identity of the end-user. The write-back actions may, for example, utilize a user's actual account to ensure all actions performed are compliant with data policies of the application or other resource being interacted with.

In some embodiments, the analytics service536may process the raw events received from the microapp service528to create targeted scored notifications and send such notifications to the notification service538.

Finally, in some embodiments, the notification service538may process any notifications it receives from the analytics service536. In some implementations, the notification service538may store the notifications in a database to be later served in an activity feed. In other embodiments, the notification service538may additionally or alternatively send the notifications out immediately to the client202as a push notification to the user524.

In some embodiments, a process for synchronizing with the systems of record526and generating notifications may operate as follows. The microapp service528may retrieve encrypted service account credentials for the systems of record526from the credential wallet service532and request a sync with the data integration provider service530. The data integration provider service530may then decrypt the service account credentials and use those credentials to retrieve data from the systems of record526. The data integration provider service530may then stream the retrieved data to the microapp service528. The microapp service528may store the received systems of record data in the active data cache service534and also send raw events to the analytics service536. The analytics service536may create targeted scored notifications and send such notifications to the notification service538. The notification service538may store the notifications in a database to be later served in an activity feed and/or may send the notifications out immediately to the client202as a push notification to the user524.

In some embodiments, a process for processing a user-initiated action via a microapp may operate as follows. The client202may receive data from the microapp service528(via the client interface service514) to render information corresponding to the microapp. The microapp service528may receive data from the active data cache service534to support that rendering. The user524may invoke an action from the microapp, causing the resource access application522to send an action request to the microapp service528(via the client interface service514). The microapp service528may then retrieve from the credential wallet service532an encrypted Oauth2 token for the system of record for which the action is to be invoked, and may send the action to the data integration provider service530together with the encrypted OAuth2 token. The data integration provider service530may then decrypt the OAuth2 token and write the action to the appropriate system of record under the identity of the user524. The data integration provider service530may then read back changed data from the written-to system of record and send that changed data to the microapp service528. The microapp service528may then update the active data cache service534with the updated data and cause a message to be sent to the resource access application522(via the client interface service514) notifying the user524that the action was successfully completed.

In some embodiments, in addition to or in lieu of the functionality described above, the resource management services502may provide users the ability to search for relevant information across all files and applications. A simple keyword search may, for example, be used to find application resources, SaaS applications, desktops, files, etc. This functionality may enhance user productivity and efficiency as application and data sprawl is prevalent across all organizations.

In other embodiments, in addition to or in lieu of the functionality described above, the resource management services502may enable virtual assistance functionality that allows users to remain productive and take quick actions. Users may, for example, interact with the “Virtual Assistant” and ask questions such as “What is Bob Smith's phone number?” or “What absences are pending my approval?” The resource management services502may, for example, parse these requests and respond because they are integrated with multiple systems on the back-end. In some embodiments, users may be able to interact with the virtual assistant through either the resource access application522or directly from another resource, such as Microsoft Teams. This feature may allow employees to work efficiently, stay organized, and deliver only the specific information they're looking for.

FIG.5Dshows how a display screen540presented by a resource access application522(shown inFIG.5C) may appear when an intelligent activity feed feature is employed and a user is logged on to the system. Such a screen may be provided, for example, when the user clicks on or otherwise selects a “home” user interface element542. As shown, an activity feed544may be presented on the screen540that includes a plurality of notifications546about respective events that occurred within various applications to which the user has access rights. An example implementation of a system capable of providing an activity feed544like that shown is described above in connection withFIG.5C. As explained above, a user's authentication credentials may be used to gain access to various systems of record (e.g., SalesForce, Ariba, Concur, RightSignature, etc.) with which the user has accounts, and events that occur within such systems of record may be evaluated to generate notifications546to the user concerning actions that the user can take relating to such events. As shown inFIG.5D, in some implementations, the notifications546may include a title560and a body562, and may also include a logo564and/or a name566of the system of record to which the notification546corresponds, thus helping the user understand the proper context with which to decide how best to respond to the notification546. In some implementations, one or more filters may be used to control the types, date ranges, etc., of the notifications546that are presented in the activity feed544. The filters that can be used for this purpose may be revealed, for example, by clicking on or otherwise selecting the “show filters” user interface element568. Further, in some embodiments, a user interface element570may additionally or alternatively be employed to select a manner in which the notifications546are sorted within the activity feed. In some implementations, for example, the notifications546may be sorted in accordance with the “date and time” they were created (as shown for the element570inFIG.51)), a “relevancy” mode (not illustrated) may be selected (e.g., using the element570) in which the notifications may be sorted based on relevancy scores assigned to them by the analytics service536, and/or an “application” mode (not illustrated) may be selected (e.g., using the element570) in which the notifications546may be sorted by application type.

When presented with such an activity feed544, the user may respond to the notifications546by clicking on or otherwise selecting a corresponding action element548(e.g., “Approve,” “Reject,” “Open,” “Like,” “Submit,” etc.), or else by dismissing the notification, e.g., by clicking on or otherwise selecting a “close” element550. As explained in connection withFIG.5Cbelow, the notifications546and corresponding action elements548may be implemented, for example, using “microapps” that can read and/or write data to systems of record using application programming interface (API) functions or the like, rather than by performing full launches of the applications for such systems of record. In some implementations, a user may additionally or alternatively view additional details concerning the event that triggered the notification and/or may access additional functionality enabled by the microapp corresponding to the notification546(e.g., in a separate, pop-up window corresponding to the microapp) by clicking on or otherwise selecting a portion of the notification546other than one of the user interface elements548,550. In some embodiments, the user may additionally or alternatively be able to select a user interface element either within the notification546or within a separate window corresponding to the microapp that allows the user to launch the native application to which the notification relates and respond to the event that prompted the notification via that native application rather than via the microapp.

In addition to the event-driven actions accessible via the action elements548in the notifications546, a user may alternatively initiate microapp actions by selecting a desired action, e.g., via a drop-down menu accessible using the “action” user interface element552or by selecting a desired action from a list554of available microapp actions. In some implementations, the various microapp actions available to the user524logged onto the multi-resource access system500may be enumerated to the resource access application522, e.g., when the user524initially accesses the system500, and the list554may include a subset of those available microapp actions. The available microapp actions may, for example, be organized alphabetically based on the names assigned to the actions, and the list554may simply include the first several (e.g., the first four) microapp actions in the alphabetical order. In other implementations, the list554may alternatively include a subset of the available microapp actions that were most recently or most commonly accessed by the user524, or that are preassigned by a system administrator or based on some other criteria. The user524may also access a complete set of available microapp actions, in a similar manner as the “action” user interface element552, by clicking on the “view all actions” user interface element574.

As shown, additional resources may also be accessed through the screen540by clicking on or otherwise selecting one or more other user interface elements that may be presented on the screen. For example, in some embodiments, the user may also access files (e.g., via a Citrix ShareFile® platform) by selecting a desired file, e.g., via a drop-down menu accessible using the “files” user interface element556or by selecting a desired file from a list558of recently and/or commonly used files. Further, in some embodiments, one or more applications may additionally or alternatively be accessible (e.g., via a Citrix Virtual Apps and Desktops™ service) by clicking on or otherwise selecting an “apps” user interface element572to reveal a list of accessible applications or by selecting a desired application from a list (not shown inFIG.5Dbut similar to the list558) of recently and/or commonly used applications. And still further, in some implementations, one or more desktops may additionally or alternatively be accessed (e.g., via a Citrix Virtual Apps and Desktops™ service) by clicking on or otherwise selecting a “desktops” user interface element574to reveal a list of accessible desktops or by or by selecting a desired desktop from a list (not shown inFIG.5Dbut similar to the list558) of recently and/or commonly used desktops.

The activity feed shown inFIG.5Dprovides significant benefits, as it allows a user to respond to application-specific events generated by disparate systems of record without needing to navigate to, launch, and interface with multiple different native applications.

F. Detailed Description of Example Embodiments of the System for Providing Indications of Potentially Interesting Content During Online Meetings

As described above in Section A, the present disclosure relates to providing indications of potentially interesting content during online meetings. As described in Section A, the computing system100may determine one or more keywords of interest for an online meeting presented via the user interface104, may determine that content of the online meeting corresponds to a keyword of interest, and may cause the user interface104to output the indication108that content of the online meeting is potentially of interest. As also described in Section A, the computing system100may additionally or alternatively determine data indicative of a number of client devices202participating in an online meeting for which the user interface104for the online meeting is being presented in an active window, and may cause the first client device202ato output the indication109that content of the online meeting is potentially of interest.

FIG.6Ais a block diagram illustrating example components that may be used to implement certain of the functionalities described herein. As shown inFIG.6A, in some implementations, the computing system100may include one or more processors602as well as one or more computer-readable mediums604that are encoded with instructions to be executed by the processor(s)602. In some implementations, such instructions may cause the processor(s)602to implement one or more, or possibly all, of the operations of the computing system100described herein.

The processor(s)602and computer-readable medium(s)604may be disposed at any of a number of locations within a computing network such as the network environment200described above (in Section B) in connection withFIG.2. In some implementations, for example, the processor(s)602and the computer-readable medium(s)604embodying one or more of the components described herein may be located within one or more of the servers204and/or the computing system300that are described above (in Sections B and C) in connection withFIGS.2and3, and/or may be located within a cloud computing environment400such as that described above (in Section D) in connection withFIG.4.

As shown inFIG.6A, in some implementations, the computing system100may include a meeting indication service610. The meeting indication service610may be configured to determine that content of an online meeting corresponds to one or more keywords of interest and to cause the client device202to output the indication108. The meeting indication service610may additionally or alternatively be configured to determine a number of client devices202participating in an online meeting with the user interface104presenting the online meeting in an active window, and to cause the client device202to output the indication109.

In some implementations, the computing system100may also include a keywords storage612configured to store data associating keywords and online meetings, along with a user identifier for the user102and/or a client device identifier for the client device202. The keywords storage612may store keywords provided by multiple different users102relating to multiple different online meetings. An online meeting may be identified, in the keywords storage612, using a meeting identifier for the online meeting, a meeting application/system used to schedule the meeting, and/or other data related to the online meeting (e.g., name of person who scheduled the meeting, title of the meeting, time/date of the meeting, etc.). The keywords storage612may, for example, store text data representing the individual keywords.

In some implementations, the computing system100may be configured to provide online meeting capabilities. For example, the computing system100may include one or more other components that enable participation in the online meeting by multiple different users by receiving data from multiple client devices202and sending data to the client devices202. The meeting indication service610may be included in such components or may work in conjunction with such components. For example, the meeting indication service610may use data indicative of content being presented during the online meeting, where such data may be received by the components enabling participation in the online meeting. In other implementations, the components enabling participation in the online meeting may be implemented outside of the computing system100(e.g., by another, separate computing system), and the computing system100may be in communication with such components.

FIG.6Bis a block diagram illustrating other example components that may be used to implement certain of the functionalities described herein. As shown inFIG.6B, in some implementations, the meeting indication service610may be implemented by the multi-resource access system500shown inFIGS.5A-5C(and described above in Section E). In such implementations, an online meeting may be accessed at the client device202via the resource access application522, which may enable access to one or more SaaS applications508, as described in Section E, where the SaaS application508may provide capabilities for the online meeting. In some implementations, the gateway service506may include a SaaS API620. Using the gateway service506and the SaaS API620, the meeting indication service610may request, from the SaaS application508that is providing the online meeting, data representing the content being presented during the online meeting. Additionally, as shown, the keywords storage612may be included in the multi-resource access system500. In other implementations, the multi-resource access system500may be in communication with the keywords storage612.

In some implementations, the meeting indication service610may receive, from the client device202via the resource access application522, data indicative of the user interface104being in an active window or an inactive window. Multiple client devices202may access the online meeting through the multi-resource access system500using their respective resource access applications522. The meeting indication service610may be configured to receive data indicative of the user interface104being in an active window or inactive window from the multiple client devices202in communication with the multi-resource access system500.

In some implementations, the indications108/109may be presented at the client device202via the resource access application522. The indications108/109may, for example, be outputted as an overlay or a notification by the resource access application522. In other implementations, the indications108/109may be outputted as an overlay within the specific window/application interface via which the online meeting is being accessed.

In some implementations, the meeting indication service610may be implemented at the client device202, and may be part of a meeting application used to access an online meeting. In such implementations, the client device202may also include the keywords storage612or may be in communication with the keywords storage612.

FIG.7shows an example routine700that may be performed at the client device202to determine one or more appropriate keywords for an online meeting. The routine700may, for example, be performed by a meeting application, the resource access application522or another application (e.g., a scheduling or calendar application) at the client device202. At a step702, the client device202may display scheduled online meetings for the user102.FIG.9Ashows an example user interface104displaying a calendar with one or more meetings, which may include online meetings. In other implementations, the online meetings may be displayed as a list, as part of an email or chat message, a notification, or other in another form.

In some implementations, the resource access application522may include a selectable user interface element902(shown inFIG.9A), which may be labeled, for example, “meeting assistant.” Selection of the element902may cause the resource access application522to display the calendar (shown inFIG.9A) for the user102of the client device202. The calendar may be populated based on the user102being authenticated by the multi-resource access system500as described in Section E.

At a step704of the routine700, the client device202may receive an input to set a keyword for an online meeting. For example, an input, such as a mouse click, a keyboard input, a touch screen input, etc., may cause display of a menu or options (e.g., element904shown inFIG.9A) for further actions that can be performed with respect to the online meeting. One example action may enable setting of a keyword for the online meeting, and the client device202may receive an input selecting that action.

At a step706of the routine700, the client device202may send a request to a computing system for keywords. The client device202may send the request to the meeting indication service610at the computing system100or the multi-resource access system500. In some embodiments, the meeting indication service610may be configured to determine keywords based on prior user interactions with one or more applications.

The meeting indication service610may be configured to process interactions by the user102with one or more SaaS applications508or other applications to determine keywords for a subject matter of interest. The determined keywords may be presented for selection for an online meeting. To process interactions with the SaaS application(s)508, the meeting indication service610may be in communication with the gateway service506(described above in Section E). In some implementations, the gateway service506may include a SaaS API620, which may enable one or more components of the multi-resource access system500to communicate with the SaaS application(s)508. In some implementations, the SaaS API520may be included outside of the gateway service506as a separate component or within another component of the computing system100. The meeting indication service610may use the SaaS API620to retrieve data625, indicative of interactions, from the SaaS application(s)508, which can be used to determine keywords. The data625may represent actions the user102performed via the SaaS application(s)508, where such actions may include, but are not limited to, exchanging communications with other users (e.g., sending emails, receiving emails, sending messages, receiving messages, posting/sending comments, receiving comments, etc.). The actions may also include opening, sharing or otherwise accessing files. The remainder of the routine700will be described below, following a description of an example process for evaluating user interactions with SaaS application(s)508to determine keywords.

FIG.8shows an example routine800that may be performed by the meeting indication service610to determine keywords based on interactions with the SaaS application(s)508. At a step802of the routine800, the meeting indication service610may receive a request for keywords, which may be the request sent by the client device202in the step706of the routine700. In response to receiving the request, at a step804, the meeting indication service610may sync information from the SaaS application(s)508. The meeting indication service610may request, using the SaaS API620, the data625, indicative of interactions, from the SaaS application(s)508. In some implementations, the meeting indication service610may use separate API calls for the separate/different SaaS applications508. For example, the meeting indication service610may send a first API call to retrieve data from a first SaaS application508a(e.g., Microsoft Teams), a second API call to retrieve data from a second SaaS application508b(e.g., Slack), a third API call to retrieve data from a third SaaS application508c(e.g., Microsoft Outlook), and so on. The meeting indication service610may request the data625from some or all of the SaaS applications508that the user102is authorized to access via the resource access application522. In some implementations, as described above in Section E, the resource management services502may be configured to use stored access credentials associated with the user102(or system administrator) to enable access to the SaaS application(s)508, e.g., via one or more APIs.

In response to the API calls, the SaaS application(s)508may send the data625indicative of interactions by the user102with the SaaS application(s)508. In some implementations, the gateway service506may act as an intermediary between the meeting indication service610and the SaaS applications508. That is, the meeting indication service610may send the API calls via the gateway service506, and the meeting indication service610may receive the data625via the gateway service506.

The data625may be emails between the user102and other users, messages (e.g., instant messages, chat messages, text messages, etc.) between the user102and the other users, posts/comments made by the user102, files accessed (e.g., uploaded, downloaded, modified, shared, opened, created, etc.) by the user102, and the like.

The meeting indication service610may include an interaction storage611(or may be in communication with a storage) that may store the data625. The interaction storage611may be refreshed/updated on a periodic basis (e.g., once a day, every other day, etc.), so that the data625reflects recent interactions, and thus, relate to current subject matters of interest. The data625may relate to a particular time period (e.g., past month, past week, etc.). Based on receiving the data625, the meeting indication service610may sync/update the information at the interaction storage611.

At a step806of the routine800, the meeting indication service610may extract keywords from the information from the SaaS application(s)508. The meeting indication service610may use one or more techniques to determine the keywords from the data625indicative of interactions. In some implementations, for example, the meeting indication service610may implement one or more machine learning models to extract the keywords. In an example embodiment, the meeting indication service610may use a Latent Dirichlet Allocation (LDA) technique to derive keywords from the data625. Another technique may involve determining a word (e.g., a noun) as being a keyword based on how often the word appears in the data625. Yet another technique may involve topic/subject matter determination from the data625.

In some implementations, a machine learning model may be trained, using training data, to extract keywords. The training data may, for example, be based on a document data set including multiple different sample interactions with different SaaS applications508. For example, the document data set may include multiple sample emails between different users, multiple sample chat messages between different users (e.g., from an instant messaging application), multiple sample posts/comments by different users within project management application, etc. In some embodiments, the document data set may be filtered to remove words that may not indicate a subject matter or topic (e.g., words like “is”, “are”, “were”, etc.). In some implementations, the document data set may be filtered to remove a predefined set of words (e.g., a stop word list), which may be defined, for example, by a system administrator. A segmentation method may be used to determine portions of the document data set for processing. In example embodiments, the segmentation method may segment the document data set based on individual sentences. In other embodiments, the segmentation method may additionally or alternatively segment the document data set based on individual words. The filtered segmented document data set may be stored and used as the training data for the machine learning model.

In some implementations, the meeting indication service610or another component of the computing system100may perform the steps to train the machine learning model. In other implementations, another computing system may perform the steps to train the machine learning model, and may provide the trained model to the meeting indication service610for use.

In some implementations, the meeting indication service610may extract keywords from the data625prior to receiving the request for keywords (in step802). The extracted keywords may be stored, for example, in the keywords storage612or another data storage.

In addition to the keywords determined from the data625indicative of interactions with the SaaS application(s)508, the meeting indication service610may determine other keywords. In some implementations, the meeting indication service610may determine recently used/selected keywords for the user102or the client device202.

At a step808of the routine800, the meeting indication service610may send, to the client device202, data indicative of the determined keywords. The data may be sent in response to the request received in step802of the routine800and sent in step706of the routine700.

Referring back to the routine700shown inFIG.7, at a step708, the client device202may display keywords for selection. The client device202may display the keywords based on data received from the meeting indication service610per the step808of the routine800. The client device202may display the keywords, for example, as shown inFIG.9B. As shown, a user interface screen906may display “auto generated keywords,” which may be the keywords extracted from the data625. The user interface screen906may also display “recently used” keywords.

At a step710of the routine700, the client device202may receive an input selecting one or more keywords for the online meeting (selected in the step704). The client device202may receive one or more mouse clicks, keyboard inputs, touchscreen inputs, and the like, selecting one or more of the displayed keywords. As shown inFIG.9B, the selected keywords may be shown as “keywords of interest.” Additionally or alternatively, the client device202may receive an input representing a keyword that may not be displayed in the user interface screen906. For example, the user102may type (e.g., via a keyboard, a touchscreen, etc.) a keyword of interest.

At a step712of the routine700, the client device202may cause storage of data associating the selected keywords (based on the input received in step710) with the online meeting. The client device202may send data indicative of the selected keywords to the meeting indication service610, which in turn may store, in the keywords storage612, data associating the selected keywords with the online meeting. The online meeting may be identified, in the keywords storage612, using a meeting identifier, a meeting application used to schedule the online meeting, a title of the meeting, a name of the person that scheduled the meeting, or other data. The keywords storage612may store a data record associating the online meeting with the selected keywords, where the keywords may be represented as text data. Additionally, a user identifier for the user102and/or a device identifier for the client device202may also be associated with the online meeting and keywords, such as to identify the user/client device for which the keywords are of interest.

FIG.10shows an example routine1000that may be performed by the meeting indication service610to provide an indication of when meeting content corresponds to one or more keywords. At a step1002, the meeting indication service610may detect launch of an online meeting at the client device202via the user interface104. In some implementations, the online meeting may be launched using a meeting application (e.g., an application installed at the client device202or via a web browser option for the meeting application) at the client device202, in which case the user interface104may be provided by the meeting application. In other implementations, the online meeting may be launched using the resource access application522, via the SaaS application508that enables capabilities for the online meeting. In such implementations, the user interface104may be provided by the resource access application522. The meeting indication service610may receive, from the client device202, data indicative of the launched online meeting, where the data may include meeting identifying data for the online meeting (e.g., a meeting identifier, a meeting name, a meeting application used to schedule the online meeting, a name of the person who scheduled the meeting, time/date of the meeting, title of the meeting, etc.). The client device202may send the data in response to the online meeting being launched at the client device202, and the meeting indication service610may detect launch of the online meeting using the received data.

At a step1004of the routine1000, the meeting indication service610may determine one or more keywords associated with the online meeting. The meeting indication service610may make this determination using the data identifying the launched online meeting and the data stored in the keywords storage612, and possibly also using a user identifier for the user102and/or a device identifier for the client device202(which may be received from the client device202). For example, as described above in relation toFIGS.7and9A-9B, one or more keywords may be associated with an online meeting based on input(s) received at the client device202, and the keywords storage612may store data accordingly.

At a step1006of the routine1000, the meeting indication service610may generate one or more vectors corresponding to the keyword(s). The meeting indication service610may, for example, use one or more techniques to determine such vectors. One technique involves using one or more machine learning models that generate a vector representation for a word (e.g., a word embedding). In some implementations, the meeting indication service610may use a word2vec technique that generates a 300-dimension vector for a word. The meeting indication service610may generate a vector for individual keywords, and the vectors corresponding to the keywords may be a set of vectors. In some implementations, the vector(s) may be precomputed, where the meeting indication service610may determine the vector(s) for the keyword(s) when the keyword(s) for the online meeting are received, for example, after the step710or712of the routine700. In such implementations, the vector(s) corresponding to the keyword(s) may be stored in the keywords storage612.

At a step1008of the routine1000, the meeting indication service610may receive data representing a portion of content being presented during the online meeting. The portion of content may correspond to a time duration (e.g., “30” seconds, “1” minute, “5” minutes, etc.). Data representative of the content may, for example, be sent by the client device202to the meeting indication service610. In other implementations, the data representative of the content may be sent by the SaaS application508providing the online meeting. In yet other implementations, the data representative of the content may be sent by another computing system (e.g., a server204) providing the online meeting. In still other implementations, e.g., where the online meeting is provided by the computing system100, the data representative of the content may be sent by one or more components within the computing system100to the meeting indication service610.

The content of the online meeting may include speech from one or more participants (e.g., the user102and/or other users) of the online meeting, which may be captured as audio data. In some implementations, the speech/audio data from the participants may be converted to text data prior to being communicated to the meeting indication service610. In other implementations, the meeting indication service610may convert the audio data to text data using automatic speech recognition techniques and/or speech-to-text techniques (e.g., an acoustic model, a language model, a recurrent neural network (RNN), a RNN-transformer model, an encoder-decoder architecture, etc.). The audio data and/or the text data may be determined based on voice inputs provided by the participants of the online meeting via their respective client devices202. The content of the online meeting may additionally or alternatively include information shared by the participants using a screen share feature, which may involve displaying of text and/or images. The meeting indication service610or the component providing the online meeting may process the shared information (text and/or images) using computer vision techniques, optical character recognition (OCR) techniques, or other techniques to understand the information being shared. Further, the content of the online meeting may additionally or alternatively include non-speech audio (e.g., music, recorded audio, etc.), video, chat messages, and other types of inputs that may be provided by the participants of the online meeting. The data received in the step1008of the routine1000may include audio data, text data, image data, etc.

At a step1010of the routine1000, the meeting indication service610may generate vectors corresponding to the portion of the content (received in the step1008). The meeting indication service610may use similar techniques as described above in relation to the step1004of the routine1000to generate the vectors. The meeting indication service610may generate a vector for individual words in the portion of the content. In some implementations, the meeting indication service610may then determine a vector for individual sentences in the content. The vector for the sentence may be a set of vectors for the words in the sentence. The vector for the sentence may be determined by combining (e.g., aggregating, averaging, concatenating, etc.) the vectors for the words in the sentence. The meeting indication service610may then determine a vector for the portion of the content based on the vectors for different sentences in the portion of the content.

At a step1012of the routine1000, the meeting indication service610may perform a similarity calculation using the vector(s) corresponding to the keyword(s) (generated in the step1006) and the vectors corresponding to the portion of the content (generated in the step1010). In performing the similarity calculation, the meeting indication service610may determine whether the keyword is mentioned or included in the portion of the content. The meeting indication service610may use any of a number of suitable techniques to calculate the similarity. One such technique may involve calculating a cosine similarity using the vectors.

In some implementations, the meeting indication service610may determine a similarity value indicating how similar (e.g., based on a vector comparison) the portion of the content is to the keyword(s) associated with the online meeting. In some implementations, the similarity value may be a likelihood or probability of the keyword being similar to the portion of the content based on a comparison of the vector corresponding to the keyword and the vectors corresponding to the content. The similarity value may be based on individual keywords associated with the online meeting. For example, the meeting indication service610may determine a first similarity value indicative of a first keyword associated with the online meeting being similar to the portion of the content, a second similarity value indicative of a second keyword associated with the online meeting being similar to the portion of the content, etc.

At a decision step1014of the routine1000, the meeting indication service610may determine whether the similarity calculation satisfies a condition. The condition may, for example, be a threshold similarity value to determine whether the portion of the content corresponds to (e.g., mentions, includes, etc.) the keyword(s). If the similarity calculation does not satisfy the condition (e.g., is below the threshold similarity value), then the routine1000may return to the step1008and the meeting indication service610may receive data representing another portion of the content presented during the online meeting. The other portion of the content may correspond to the next time duration, for example, the next “30” seconds, next “1” minute, next “5” minutes, etc. of the online meeting.

If the similarity calculation does satisfy the condition in the decision step1014(e.g., is above the threshold similarity value), then at an optional step1016of the routine1000, the meeting indication service610may determine a frequency of the keyword(s) during a time period. The meeting indication service610may track a number of times respective keywords are mentioned/included in the content of the online meeting. Such tracking may be based on a number of vectors corresponding to the portion of the content (generated in the step1010) that is similar to the keyword(s). Additionally, such tracking may be based on prior portions of the content mentioning/including the keyword(s). For example, the portion of the content (received in the step1008) may correspond to “1” minute of the online meeting, and based on performing the steps1010-1014with respect to the portion of the content, the meeting indication service610may determine that a keyword was spoken by a participant of the online meeting three times during the “1” minute. As another example, based on performing the steps1010-1014with respect to a “1” minute portion of the online meeting, the meeting indication service610may determine that a keyword was spoken once during that “1” minute portion, and based on performing the steps1010-1014with respect to the next “1” minute portion of the online meeting, the meeting indication service610may determine that the keyword was spoken once during that “1” minute portion, thus totaling to the keyword having been spoken twice during a “2” minute period of the online meeting (or the keyword having been spoken once/minute for “2” minutes of the online meeting). Thus, the frequency of the keyword(s) may represent the number of times, during a time period, a keyword was mentioned/included in the content of the online meeting.

In some implementations, the meeting indication service610may provide an indication that the content being presented is potentially of interest based on a keyword being mentioned/included at least a minimum number of times during a time period. At an optional decision step1018of the routine1000, the meeting indication service610may determine whether the frequency of the keyword(s) satisfies a condition. The condition may be a threshold frequency value. If the frequency does not satisfy the condition (e.g., is below the threshold frequency value), then the routine1000may return to the step1008and the meeting indication service610may receive data representing another portion of the content presented during the online meeting. The other portion of the content may correspond to the next time duration, for example, the next “30” seconds, next “1” minute, next “5” minutes, etc., of the online meeting.

If the frequency satisfies the condition in the decision step1018(e.g., is above the threshold frequency value), then at a step1020of the routine1000, the meeting indication service610may send the indication108that the content being presented is potentially of interest. The meeting indication service610may send the indication108based on the portion of the content corresponding to the keyword(s) associated with the online meeting. The meeting indication service610may send the indication108to the client device202. In other implementations, the meeting indication service610may additionally or alternatively send the indication108to another client device202(that is not presenting the online meeting) of the user102(e.g., a smartphone, a tablet, a smartwatch, etc.), in case the user102is away from the client device202(shown inFIG.1A) that is presenting the online meeting.

Sending of the indication108may cause the user interface104to present the indication108. The indication108may, for example, be a pop-up dialog box as shown inFIG.1B, which may be displayed within the user interface104. In some implementations, the indication108may be overlaid on top of the online meeting content as shown inFIG.1B. In other implementations, the indication108may be presented in such a manner that the indication108is overlaid on top of any content that is actively being displayed at the client device202, so that the indication108is visible to the user102even when a window/application presenting the online meeting is minimized or in the background. In other implementations, sending of the indication108may cause the window/application presenting the online meeting, which may have been previously minimized or in the background, to become maximized or brought to the foreground, so that both the indication108and the online meeting are visible to the user102.

In some implementations, as shown inFIG.1B, the indication108may include a number of times a keyword was mentioned/included during a time period. Such information may be based on the frequency of the keyword(s) determined during the step1016of the routine1000.

In some implementations, the indication108may additionally or alternatively include an audible indication, such as a chime, a beep, or other sound that may be outputted via one or more speakers of the client device202. In some implementations, in addition to or in lieu of a pop-up dialog box, the indication108may include an image or other graphical user interface element. In some implementations, the indication108may additionally or alternatively be presented via a user interface other than the user interface104, such as by way of a notification menu/bar provided by an operating system of the client device202or by the resource access application522.

FIG.11shows an example routine1100that may be performed by the meeting indication service610to provide an indication based on a number of client devices with their respective user interfaces presenting the online meeting in an active window. At a step1102, the meeting indication service610may detect launch of an online meeting via the user interface104at the plurality of client device202. Multiple client devices202may be in communication with the meeting indication service610, and the respective client devices202may send data (e.g., a meeting identifier, a meeting name, a meeting application used to schedule the online meeting, a name of the person who scheduled the meeting, time/date of the meeting, title of the meeting, etc.) identifying the launched online meeting. The online meeting may be launched, at the individual client devices202, using a meeting application (e.g., an application installed at the client device202or via a web browser option for the meeting application) or using the resource access application522(e.g., via the SaaS application508that enables capabilities for the online meeting). The meeting indication service610may detect launch of the online meeting at the plurality of client devices202using the received data.

At a step1104of the routine1100, the meeting indication service610may receive, from individual ones of the plurality of client devices202, data indicative of the user interface104being in an active window or an inactive window. The meeting indication service610may determine that the online is being presented in an active window of a client device202, for example, when the user interface104is presently fully visible via a screen of the client device202, or when the user interface104is in a foreground window at the client device202. The meeting indication service610may determine that the online meeting is being presented in an inactive window when the user interface104is minimized or is covered by another user interface, window or content different than the online meeting, such that the content of the online meeting is not presently fully visible on the screen of the client device202. The meeting indication service610may determine that the online meeting is being presented in an inactive window, for example, when the user interface104is in a background window at the client device202. An operating system (e.g., Microsoft Windows, macOS, Chrome OS, etc.) of the client device202may be configured to determine which applications/windows are in the foreground, i.e., the user102is working on, which applications/windows are in the background, i.e., ones that are behind the scenes, which applications/windows are minimized, and which applications/windows are maximized. The meeting indication service610may, for example, request the data, indicative of the user interface104being in an active or inactive window, using an API request to the operating systems of the individual client devices202. In some implementations, the meeting indication service610may receive the data indicative of the user interface104being in an active or inactive window on a periodic basis (e.g., every “3” minutes, every “5” minutes, etc.).

At a step1108of the routine1100, the meeting indication service610may determine, using the received data (in the step1104), a number of the client devices202with the user interface104in an active window. The meeting indication service610may determine a total number of client devices202that sent data indicative of the user interface104(presenting the online meeting) being in an active window. Alternatively, the meeting indication service610may determine a total number of client devices202that sent data indicative of the user interface104being in an inactive window, and then determine the number of the client devices202with the user interface104in an active window based on the total number of client devices202participating in the online meeting. Additionally or alternatively, in some implementations, the meeting indication service610may determine a ratio or percentage of the client devices202participating in the online meeting for which the online meeting is being presented in an active window, e.g., by dividing a determined number of client devices202with the online meeting in an active window by a determined number of client devices202with the online meeting in an inactive window.

At a decision step1110of the routine1100, the meeting indication service610may determine whether the number of client devices202(determined in the step1108), in view of the plurality of client devices202(that launched the online meeting), satisfy one or more conditions. Such condition(s) may, for example, include a threshold number of client devices202with the user interface104in an active window and/or a threshold percentage of the client devices202with the user interface104in an active window. For example, a condition may be that 90% of the participating client devices202need to have the user interface104in an active window. Additionally or alternatively, the meeting indication service610may determine and take into account a number of client devices202that may have started the online meeting, but then left/exited the online meeting before the meeting's scheduled end-time.

If the quantity and/or ratio of client devices202with the user interface104in an active window does not satisfy the pertinent condition(s) (in the decision step1110), then the routine1100may return to the step1104, and the meeting indication service610may receive, from individual ones of the plurality of client devices202, additional data indicative of the user interface104being in an active or inactive window. The additional data may correspond to the next time period (e.g., the next “3” minutes, the next “5” minutes, etc.).

If the quantity and/or ratio of client devices202with the user interface104in an active window satisfies the pertinent condition(s) (in the decision step1110), then the at a step1112, the meeting indication service610may send, to a first client device202aof the plurality of client devices202, the indication109that the content being presented is potentially of interest. In some implementations, the meeting indication service610may send the indication109to the first client device202abased on the user interface104being in an inactive window at the first client device202a. In some implementations, the meeting indication service610may send the indication109to the first client device202aeven when the user interface104is in an active window at the first client device202a. The meeting indication service610may additionally or alternatively send the indication109to another client device202(that is not presenting the online meeting) of the first user102a(e.g., a smartphone, a tablet, a smartwatch, etc.), in case the first user102ais away from the first client device202a(shown inFIG.1C) that is presenting the online meeting.

Sending of the indication109to the first client device202amay cause the first client device202ato present the indication109via the user interface104a. The indication109may, for example, be a pop-up dialog box as shown inFIG.1D. In some implementations, the indication109may be overlaid on top of the online meeting content. In other implementations, the indication109may be presented in such a manner that the indication109is overlaid on top of any content that is actively being displayed at the first client device202a, so that the indication109is visible to the first user102aeven when a window/application presenting the online meeting is minimized or in the background. In other implementations, output of the indication109may cause the window/application presenting the online meeting, which may have been previously minimized or in the background, to become maximized or brought to the foreground, so that both the indication109and the online meeting are visible to the first user102a.

In some implementations, the indication109may include a number of client devices with the user interface104in an active window, or a percentage of participating client devices with the user interface104in an active window, as shown inFIG.1D.

In some implementations, the indication109may additionally or alternatively include an audible indication, such as a chime, a beep, or other sound that may be outputted via one or more speakers of the client device202. In some implementations, in addition to or in lieu of a pop-up dialog box, the indication109may include an image or other graphical user interface element. In some implementations, the indication109may additionally or alternatively be presented via a user interface other than the user interface104, such as by way of a notification menu/bar provided by an operating system of the first client device202aor by the resource access application522.

G. Example Implementations of Methods, Systems, and Computer-Readable Media in Accordance with the Present Disclosure

The following paragraphs (M1) through (M13) describe examples of methods that may be implemented in accordance with the present disclosure.

(M1) A method may be performed that involves determining, by a computing system, a keyword of interest for an online meeting being presented via a user interface, determining, by the computing system, that content of the online meeting corresponds to the keyword of interest, and causing, by the computing system and in response to the content of the online meeting corresponding to the keyword of interest, the user interface to output an indication that the content of the online meeting being presented is potentially of interest.

(M2) A method may be performed as described in paragraph (M1), and may further involve processing, by the computing system, text data representing words spoken during the online meeting to determine that the content of the online meeting corresponds to the keyword of interest.

(M3) A method may be performed as described in paragraph (M1) or paragraph (M2), and may further involve receiving, by the computing system, a user input indicative of the keyword of interest.

(M4) A method may be performed as described in any of paragraphs (M1) through (M3), and may further involve identifying, by the computing system, data representing user interactions with one or more applications, and determining, by the computing system, the keyword of interest using the data.

(M5) A method may be performed as described in paragraph (M4), wherein the user interface is provided at a client device, and the computing system is configured to provide remote access to the one or more applications at the client device.

(M6) A method may be performed as described in any of paragraphs (M1) through (M5), wherein the online meeting is presented, at a client device, via the user interface of a meeting application, the client device is in communication with the computing system, and the computing system is configured to provide remote access to the meeting application.

(M7) A method may be performed as described in any of paragraphs (M1) through (M6), and may further involve processing, by the computing system, the content of the online meeting being presented during a time period, determining, by the computing system, a number of times the keyword of interest is mentioned during the time period, and causing, by the computing system and based on the number of times the keyword of interest is mentioned during the time period, the user interface to display the indication.

(M8) A method may be performed that involves determining, by a computing system, data indicative of a number of client devices, from a plurality of client devices participating in an online meeting, for which a user interface for the online meeting is being presented in an active window, and causing, by the computing system and based at least in part on the data, a first client device, from the plurality of client devices, to output an indication that content of the online meeting being presented is potentially of interest.

(M9) A method may be performed as described in paragraph (M8), and may further involve determining, by the computing system, that the number of client devices indicated in the data satisfies a condition, and causing the first client device to display the indication in response to the condition being satisfied.

(M10) A method may be performed as described in paragraph (M8) or paragraph (M9), wherein the computing system is configured to host a meeting application providing the user interface, and the computing system is in communication with the plurality of client devices.

(M11) A method may be performed as described in any of paragraphs (M8) through (M10), wherein the user interface is provided by a remote access application configured to provide respective client devices access to remotely hosted applications, and the computing system is configured to facilitate access to the remotely hosted applications.

(M12) A method may be performed as described in any of paragraphs (M8) through (M11), and may further involve determining, by the computing system, that the user interface for the online meeting is in an inactive window at the first client device, and causing, by the computing system and based at least in part on determining that the user interface for the online meeting is in an inactive window at the first client device, the first client device to output the indication.

(M13) A method may be performed as described in any of paragraphs (M8) through (M12), and may further involve receiving, by the computing system and from the plurality of client devices, data indicative of the user interface for the online meeting being in an active window or an inactive window, and using the received data to determine the number of client devices for which the user interface for the online meeting is being presented in an active window.

The following paragraphs (S1) through (S13) describe examples of systems and devices that may be implemented in accordance with the present disclosure.

(S1) A system may comprise at least one processor and at least one computer-readable medium encoded with instructions which, when executed by the at least one processor, cause the system to determine a keyword of interest for an online meeting being presented via a user interface, determine that content of the online meeting corresponds to the keyword of interest, and cause, in response to the content of the online meeting corresponding to the keyword of interest, the user interface to output an indication that the content of the online meeting being presented is potentially of interest.

(S2) A system may be configured as described in paragraph (S1), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to process text data representing words spoken during the online meeting to determine that the content of the online meeting corresponds to the keyword of interest.

(S3) A system may be configured as described in paragraph (S1) or paragraph (S2), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to receive a user input indicative of the keyword of interest.

(S4) A system may be configured as described in any of paragraphs (S1) through (S3), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to identify data representing user interactions with one or more applications, and determining, by the computing system, the keyword of interest using the data.

(S5) A system may be configured as described in any of paragraphs (S1) through (S4), wherein the user interface is provided at a client device, and the computing system is configured to provide remote access to the one or more applications at the client device.

(S6) A system may be configured as described in any of paragraphs (S1) through (S5), wherein the online meeting is presented, at a client device, via the user interface of a meeting application, the client device is in communication with the computing system, and the computing system is configured to provide remote access to the meeting application.

(S7) A system may be configured as described in any of paragraphs (S1) through (S6), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to process the content of the online meeting being presented during a time period, determine a number of times the keyword of interest is mentioned during the time period, and cause, based on the number of times the keyword of interest is mentioned during the time period, the user interface to display the indication.

(S8) A system may comprise at least one processor and at least one computer-readable medium encoded with instructions which, when executed by the at least one processor, cause the system to determine data indicative of a number of client devices, from a plurality of client devices participating in an online meeting, for which a user interface for the online meeting is being presented in an active window, and cause, based at least in part on the data, a first client device, from the plurality of client devices, to output an indication that content of the online meeting being presented is potentially of interest.

(S9) A system may be configured as described in paragraph (S8), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to determine that the number of client devices indicated in the data satisfies a condition, and causing the first client device to display the indication in response to the condition being satisfied.

(S10) A system may be configured as described in paragraph (S8) or paragraph (S9), wherein the system is configured to host a meeting application providing the user interface, and the system is in communication with the plurality of client devices.

(S11) A system may be configured as described in any of paragraphs (S8) through (S10), wherein the user interface is provided by a remote access application configured to provide respective client devices access to remotely hosted applications, and the system is configured to facilitate access to the remotely hosted applications.

(S12) A system may be configured as described in any of paragraphs (S8) through (S11), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to determine that the user interface for the online meeting is in an inactive window at the first client device, and cause, based at least in part on determining that the user interface for the online meeting is in an inactive window at the first client device, the first client device to output the indication.

(S13) A system may be configured as described in any of paragraphs (S8) through (S12), wherein the at least one computer-readable medium may be further encoded with additional instructions which, when executed by the at least one processor, further cause the system to receive, from the plurality of client devices, data indicative of the user interface for the online meeting being in an active window or an inactive window, and use the received data to determine the number of client devices for which the user interface for the online meeting is being presented in an active window.

The following paragraphs (CRM1) through (CRM13) describe examples of computer-readable media that may be implemented in accordance with the present disclosure.

(CRM1) At least one non-transitory computer-readable medium may be encoded with instructions which, when executed by at least one processor of a computing system, may cause the computing system to determine a keyword of interest for an online meeting being presented via a user interface, determine that content of the online meeting corresponds to the keyword of interest, and cause, in response to the content of the online meeting corresponding to the keyword of interest, the user interface to output an indication that the content of the online meeting being presented is potentially of interest.

(CRM2) At least one non-transitory computer-readable medium may be configured as described in paragraph (CRM1), and may be further encoded with additional instructions which, when executed by the at least one processor, further cause the computing system to process text data representing words spoken during the online meeting to determine that the content of the online meeting corresponds to the keyword of interest.

(CRM3) At least one non-transitory computer-readable medium may be configured as described in paragraph (CRM1) or paragraph (CRM2), and may be further encoded with additional instructions which, when executed by the at least one processor, further cause the computing system to receive a user input indicative of the keyword of interest.

(CRM4) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM1) through (CRM3), and may be further encoded with additional instructions which, when executed by the at least one processor, further cause the computing system to identify data representing user interactions with one or more applications, and determining, by the computing system, the keyword of interest using the data.

(CRM5) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM1) through (CRM4), wherein the user interface is provided at a client device, and the computing system is configured to provide remote access to the one or more applications at the client device.

(CRM6) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM1) through (CRM5), wherein the online meeting is presented, at a client device, via the user interface of a meeting application, the client device is in communication with the computing system, and the computing system is configured to provide remote access to the meeting application.

(CRM7) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM1) through (CRM6), and may be further encoded with additional instructions which, when executed by the at least one processor, further cause the computing system to process the content of the online meeting being presented during a time period, determine a number of times the keyword of interest is mentioned during the time period, and cause, based on the number of times the keyword of interest is mentioned during the time period, the user interface to display the indication.

(CRM8) At least one non-transitory computer-readable medium may be encoded with instructions which, when executed by at least one processor of a computing system, may cause the computing system to determine data indicative of a number of client devices, from a plurality of client devices participating in an online meeting, for which a user interface for the online meeting is being presented in an active window, and cause, based at least in part on the data, a first client device, from the plurality of client devices, to output an indication that content of the online meeting being presented is potentially of interest.

(CRM9) At least one non-transitory computer-readable medium may be configured as described in paragraph (CRM8), and may be further encoded with additional instructions which, when executed by the at least one processor, further cause the computing system to determine that the number of client devices indicated in the data satisfies a condition, and causing the first client device to display the indication in response to the condition being satisfied.

(CRM10) At least one non-transitory computer-readable medium may be configured as described in paragraph (CRM8) or paragraph (CRM9), wherein the computing system is configured to host a meeting application providing the user interface, and the computing system is in communication with the plurality of client devices.

(CRM11) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM8) through (CRM10), wherein the user interface is provided by a remote access application configured to provide respective client devices access to remotely hosted applications, and the computing system is configured to facilitate access to the remotely hosted applications.

(CRM12) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM8) through (CRM11), wherein the instructions which, when executed by the at least one processor, cause the computing system to determine that the user interface for the online meeting is in an inactive window at the first client device, and cause, based at least in part on determining that the user interface for the online meeting is in an inactive window at the first client device, the first client device to output the indication.

(CRM13) At least one non-transitory computer-readable medium may be configured as described in any of paragraphs (CRM8) through (CRM12), wherein the instructions which, when executed by the at least one processor, cause the computing system to receive, from the plurality of client devices, data indicative of the user interface for the online meeting being in an active window or an inactive window, and use the received data to determine the number of client devices for which the user interface for the online meeting is being presented in an active window.

Having thus described several aspects of at least one embodiment, it is to be appreciated that various alterations, modifications, and improvements will readily occur to those skilled in the art. Such alterations, modifications, and improvements are intended to be part of this disclosure, and are intended to be within the spirit and scope of the disclosure. Accordingly, the foregoing description and drawings are by way of example only.

Various aspects of the present disclosure may be used alone, in combination, or in a variety of arrangements not specifically discussed in the embodiments described in the foregoing and is therefore not limited in this application to the details and arrangement of components set forth in the foregoing description or illustrated in the drawings. For example, aspects described in one embodiment may be combined in any manner with aspects described in other embodiments.

Also, the disclosed aspects may be embodied as a method, of which an example has been provided. The acts performed as part of the method may be ordered in any suitable way. Accordingly, embodiments may be constructed in which acts are performed in an order different than illustrated, which may include performing some acts simultaneously, even though shown as sequential acts in illustrative embodiments.

Use of ordinal terms such as “first,” “second,” “third,” etc. in the claims to modify a claim element does not by itself connote any priority, precedence or order of one claim element over another or the temporal order in which acts of a method are performed, but are used merely as labels to distinguish one claimed element having a certain name from another element having a same name (but for use of the ordinal term) to distinguish the claim elements.

Also, the phraseology and terminology used herein is used for the purpose of description and should not be regarded as limiting. The use of “including,” “comprising,” or “having,” “containing,” “involving,” and variations thereof herein, is meant to encompass the items listed thereafter and equivalents thereof as well as additional items.