Patent Publication Number: US-2023154463-A1

Title: Method of reorganizing quick command based on utterance and electronic device therefor

Description:
CROSS-REFERENCE TO RELATED APPLICATION 
     This application is a bypass continuation of International Application No. PCT/KR2022/016284 designating the United States, filed on Oct. 24, 2022, in the Korean Intellectual Property Receiving Office and claims priority from Korean Patent Application No. KR 10-2021-0158233, filed on Nov. 17, 2021, and Korean Patent Application No. KR 10-2021-0186255, filed on Dec. 23, 2021, the disclosures of which are incorporated by reference herein in their entireties. 
    
    
     BACKGROUND 
     1. Field 
     The Various example embodiments disclosure relates to a method and an electronic device for reorganizing a quick command based on an utterance of a voice command. 
     2. Description of Related Art 
     Techniques for controlling an electronic device based on a voice command of a user are being widely used. For example, the electronic device may include a voice assistant configured to identify the user&#39;s intent from the user&#39;s utterance and perform an action corresponding to the identified intent. The user may easily control the electronic device through the voice command. 
     With more and more internet-of-things (IoT) devices, a technology of allowing a user to control another electronic device, such as an IoT device, through a voice command is widely used. A listener device, such as a mobile phone or artificial intelligence (AI) speaker, may acquire a user&#39;s utterance and control other IoT devices based on the utterance via a network such as the Internet. For example, when the user&#39;s utterance is “turn off the lights in the living room”, the voice assistant may turn off the light located in the living room of the house of the user. 
     SUMMARY 
     In order to increase user convenience, the voice assistant may be configured to perform several actions corresponding to one utterance. The voice assistant may store information about a plurality of actions mapped to one utterance. The voice assistant may be configured to perform a plurality of mapped actions if a specified utterance is received. For example, a plurality of actions such as “today&#39;s schedule reminder”, “today&#39;s weather alert”, and “today&#39;s stock index notification” may be mapped to the utterance “briefing”. Instead of performing each utterance corresponding to several actions, the user may simply utter “briefing” to check information on schedules, weather, and stock indices. 
     The user may want to edit a plurality of mapped actions. For example, the user may want to perform only some of the plurality of mapped actions. For another example, the user may want to perform an additional action along with a plurality of mapped actions. Instead of entering the edit menu of the electronic device in order to edit the mapped actions, the user may want to edit the actions in real time. In addition, the user may want to temporarily edit the actions or to save the change depending on the edit. 
     Various example embodiments of the disclosure may provide an electronic device and a method for solving the above-described problems. 
     SUMMARY 
     According to an aspect of the disclosure, there is provided an electronic device including a memory configured to store one or more instructions and a processor configured to execute the one or more instructions to: obtain utterance data corresponding to voice command of a user, the utterance data including a quick command and an edit command, identify a task set including a plurality of tasks associated with the quick command based on the quick command, edit the task set associated with the quick command by excluding a first task from among the plurality of tasks or adding a new task to the task set based on the edit command and perform the edited task set. 
     According to an aspect of the disclosure, there is provided a method of reorganizing a quick command of an electronic device, the method including: obtaining utterance data corresponding to a voice command of a user, the utterance data including a quick command and an edit command for editing a task, identifying a task set including a plurality of tasks associated with the quick command based on the quick command, editing the task set associated with the quick command by excluding a first task from among the plurality of tasks or adding a new task to the task set based on the edit command and performing the edited task set. 
     According to an aspect of the disclosure, there is provided an electronic device including: a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions to: obtain a voice command from a user, the voice command including a first command and a second command adjacent to the first command, identify a task set including a plurality of tasks associated with the first command, generate a modified task set based on the second command; and control to perform one or more operations based on the modified task set. 
     The electronic device according to an example embodiment of the disclosure may provide a method of reorganizing an action associated with a quick command in real time. 
     The electronic device according to an example embodiment of the disclosure may increase user convenience. 
     The electronic device according to an example of the disclosure may improve user convenience, thereby increasing the frequency of use of the electronic device. 
     The electronic device according to an example of the disclosure may reduce a user input step through real-time reorganizing of actions. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG.  1    is a block diagram illustrating an electronic device in a network environment according to various example embodiments. 
         FIG.  2    is a block diagram illustrating an integrated intelligence system according to an example embodiment. 
         FIG.  3    is a diagram illustrating a form in which information on relation between concepts and actions is stored in a database, according to an example embodiment. 
         FIG.  4    is a diagram illustrating a user terminal displaying a screen for processing a voice input received through an intelligent app, according to an example embodiment. 
         FIG.  5    illustrates a system for performing an action based on an utterance, according to an example embodiment. 
         FIG.  6    illustrates a multi-device environment according to an example embodiment. 
         FIG.  7    illustrates a block diagram of an electronic device according to an example embodiment. 
         FIG.  8    illustrates a system for quick command reorganization according to an example embodiment. 
         FIG.  9    illustrates a flowchart of a method of performing a task in an example embodiment. 
         FIG.  10    illustrates a flowchart of a method of performing a task according to an example embodiment. 
         FIG.  11    illustrates a user interface (UI) for editing a quick command according to an example embodiment. 
         FIG.  12    illustrates an execution screen of a quick command according to an example embodiment. 
         FIG.  13    illustrates an edited execution screen of a quick command according to an example embodiment. 
         FIG.  14    illustrates a UI for saving a new quick command according to an example embodiment. 
     
    
    
     DETAILED DESCRIPTION 
     Hereinafter, various example embodiments disclosed in the disclosure will be described with reference to the accompanying drawings. However, this is not intended to limit the disclosure to the specific embodiments, and it is to be construed to include various modifications, equivalents, and/or alternatives of embodiments of the disclosure. 
       FIG.  1    is a block diagram illustrating an electronic device  101  in a network environment  100  according to various embodiments. Referring to  FIG.  1   , the electronic device  101  in the network environment  100  may communicate with an electronic device  102  via a first network  198  (e.g., a short-range wireless communication network), or at least one of an electronic device  104  or a server  108  via a second network  199  (e.g., a long-range wireless communication network). According to an embodiment, the electronic device  101  may communicate with the electronic device  104  via the server  108 . According to an embodiment, the electronic device  101  may include a processor  120 , memory  130 , an input module  150 , a sound output module  155 , a display module  160 , an audio module  170 , a sensor module  176 , an interface  177 , a connecting terminal  178 , a haptic module  179 , a camera module  180 , a power management module  188 , a battery  189 , a communication module  190 , a subscriber identification module (SIM)  196 , or an antenna module  197 . In some embodiments, at least one of the components (e.g., the connecting terminal  178 ) may be omitted from the electronic device  101 , or one or more other components may be added in the electronic device  101 . In some embodiments, some of the components (e.g., the sensor module  176 , the camera module  180 , or the antenna module  197 ) may be implemented as a single component (e.g., the display module  160 ). 
     The processor  120  may execute, for example, software (e.g., a program  140 ) to control at least one other component (e.g., a hardware or software component) of the electronic device  101  coupled with the processor  120 , and may perform various data processing or computation. According to one embodiment, as at least part of the data processing or computation, the processor  120  may store a command or data received from another component (e.g., the sensor module  176  or the communication module  190 ) in volatile memory  132 , process the command or the data stored in the volatile memory  132 , and store resulting data in non-volatile memory  134 . According to an embodiment, the processor  120  may include a main processor  121  (e.g., a central processing unit (CPU) or an application processor (AP)), or an auxiliary processor  123  (e.g., a graphics processing unit (GPU), a neural processing unit (NPU), an image signal processor (ISP), a sensor hub processor, or a communication processor (CP)) that is operable independently from, or in conjunction with, the main processor  121 . For example, when the electronic device  101  includes the main processor  121  and the auxiliary processor  123 , the auxiliary processor  123  may be adapted to consume less power than the main processor  121 , or to be specific to a specified function. The auxiliary processor  123  may be implemented as separate from, or as part of the main processor  121 . 
     The auxiliary processor  123  may control at least some of functions or states related to at least one component (e.g., the display module  160 , the sensor module  176 , or the communication module  190 ) among the components of the electronic device  101 , instead of the main processor  121  while the main processor  121  is in an inactive (e.g., sleep) state, or together with the main processor  121  while the main processor  121  is in an active state (e.g., executing an application). According to an embodiment, the auxiliary processor  123  (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module  180  or the communication module  190 ) functionally related to the auxiliary processor  123 . According to an embodiment, the auxiliary processor  123  (e.g., the neural processing unit) may include a hardware structure specified for artificial intelligence model processing. An artificial intelligence model may be generated by machine learning. Such learning may be performed, e.g., by the electronic device  101  where the artificial intelligence is performed or via a separate server (e.g., the server  108 ). Learning algorithms may include, but are not limited to, e.g., supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-network or a combination of two or more thereof but is not limited thereto. The artificial intelligence model may, additionally or alternatively, include a software structure other than the hardware structure. 
     The memory  130  may store various data used by at least one component (e.g., the processor  120  or the sensor module  176 ) of the electronic device  101 . The various data may include, for example, software (e.g., the program  140 ) and input data or output data for a command related thererto. The memory  130  may include the volatile memory  132  or the non-volatile memory  134 . 
     The program  140  may be stored in the memory  130  as software, and may include, for example, an operating system (OS)  142 , middleware  144 , or an application  146 . 
     The input module  150  may receive a command or data to be used by another component (e.g., the processor  120 ) of the electronic device  101 , from the outside (e.g., a user) of the electronic device  101 . The input module  150  may include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen). 
     The sound output module  155  may output sound signals to the outside of the electronic device  101 . The sound output module  155  may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as playing multimedia or playing record. The receiver may be used for receiving incoming calls. According to an embodiment, the receiver may be implemented as separate from, or as part of the speaker. 
     The display module  160  may visually provide information to the outside (e.g., a user) of the electronic device  101 . The display module  160  may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display module  160  may include a touch sensor adapted to detect a touch, or a pressure sensor adapted to measure the intensity of force incurred by the touch. 
     The audio module  170  may convert a sound into an electrical signal and vice versa. According to an embodiment, the audio module  170  may obtain the sound via the input module  150 , or output the sound via the sound output module  155  or a headphone of an external electronic device (e.g., an electronic device  102 ) directly (e.g., wiredly) or wirelessly coupled with the electronic device  101 . 
     The sensor module  176  may detect an operational state (e.g., power or temperature) of the electronic device  101  or an environmental state (e.g., a state of a user) external to the electronic device  101 , and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module  176  may include, for example, a gesture sensor, a gyro sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor. 
     The interface  177  may support one or more specified protocols to be used for the electronic device  101  to be coupled with the external electronic device (e.g., the electronic device  102 ) directly (e.g., wiredly) or wirelessly. According to an embodiment, the interface  177  may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, or an audio interface. 
     A connecting terminal  178  may include a connector via which the electronic device  101  may be physically connected with the external electronic device (e.g., the electronic device  102 ). According to an embodiment, the connecting terminal  178  may include, for example, a HDMI connector, a USB connector, a SD card connector, or an audio connector (e.g., a headphone connector). 
     The haptic module  179  may convert an electrical signal into a mechanical stimulus (e.g., a vibration or a movement) or electrical stimulus which may be recognized by a user via his tactile sensation or kinesthetic sensation. According to an embodiment, the haptic module  179  may include, for example, a motor, a piezoelectric element, or an electric stimulator. 
     The camera module  180  may capture a still image or moving images. According to an embodiment, the camera module  180  may include one or more lenses, image sensors, image signal processors, or flashes. 
     The power management module  188  may manage power supplied to the electronic device  101 . According to one embodiment, the power management module  188  may be implemented as at least part of, for example, a power management integrated circuit (PMIC). 
     The battery  189  may supply power to at least one component of the electronic device  101 . According to an embodiment, the battery  189  may include, for example, a primary cell which is not rechargeable, a secondary cell which is rechargeable, or a fuel cell. 
     The communication module  190  may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device  101  and the external electronic device (e.g., the electronic device  102 , the electronic device  104 , or the server  108 ) and performing communication via the established communication channel. The communication module  190  may include one or more communication processors that are operable independently from the processor  120  (e.g., the application processor (AP)) and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module  190  may include a wireless communication module  192  (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module  194  (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). A corresponding one of these communication modules may communicate with the external electronic device via the first network  198  (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or the second network  199  (e.g., a long-range communication network, such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., LAN or wide area network (WAN)). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multi components (e.g., multi chips) separate from each other. The wireless communication module  192  may identify and authenticate the electronic device  101  in a communication network, such as the first network  198  or the second network  199 , using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module  196 . 
     The wireless communication module  192  may support a 5G network, after a 4G network, and next-generation communication technology, e.g., new radio (NR) access technology. The NR access technology may support enhanced mobile broadband (eMBB), massive machine type communications (mMTC), or ultra-reliable and low-latency communications (URLLC). The wireless communication module  192  may support a high-frequency band (e.g., the mmWave band) to achieve, e.g., a high data transmission rate. The wireless communication module  192  may support various technologies for securing performance on a high-frequency band, such as, e.g., beamforming, massive multiple-input and multiple-output (massive MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module  192  may support various requirements specified in the electronic device  101 , an external electronic device (e.g., the electronic device  104 ), or a network system (e.g., the second network  199 ). According to an embodiment, the wireless communication module  192  may support a peak data rate (e.g., 20 Gbps or more) for implementing eMBB, loss coverage (e.g., 164 dB or less) for implementing mMTC, or U-plane latency (e.g., 0.5 ms or less for each of downlink (DL) and uplink (UL), or a round trip of 1 ms or less) for implementing URLLC. 
     The antenna module  197  may transmit or receive a signal or power to or from the outside (e.g., the external electronic device) of the electronic device  101 . According to an embodiment, the antenna module  197  may include an antenna including a radiating element composed of a conductive material or a conductive pattern formed in or on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, the antenna module  197  may include a plurality of antennas (e.g., array antennas). In such a case, at least one antenna appropriate for a communication scheme used in the communication network, such as the first network  198  or the second network  199 , may be selected, for example, by the communication module  190  (e.g., the wireless communication module  192 ) from the plurality of antennas. The signal or the power may then be transmitted or received between the communication module  190  and the external electronic device via the selected at least one antenna. According to an embodiment, another component (e.g., a radio frequency integrated circuit (RFIC)) other than the radiating element may be additionally formed as part of the antenna module  197 . 
     According to various embodiments, the antenna module  197  may form a mmWave antenna module. According to an embodiment, the mmWave antenna module may include a printed circuit board, a RFIC disposed on a first surface (e.g., the bottom surface) of the printed circuit board, or adjacent to the first surface and capable of supporting a designated high-frequency band (e.g., the mmWave band), and a plurality of antennas (e.g., array antennas) disposed on a second surface (e.g., the top or a side surface) of the printed circuit board, or adjacent to the second surface and capable of transmitting or receiving signals of the designated high-frequency band. 
     At least some of the above-described components may be coupled mutually and communicate signals (e.g., commands or data) therebetween via an inter-peripheral communication scheme (e.g., a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)). 
     According to an embodiment, commands or data may be transmitted or received between the electronic device  101  and the external electronic device  104  via the server  108  coupled with the second network  199 . Each of the electronic devices  102  or  104  may be a device of a same type as, or a different type, from the electronic device  101 . According to an embodiment, all or some of operations to be executed at the electronic device  101  may be executed at one or more of the external electronic devices  102 ,  104 , or  108 . For example, if the electronic device  101  should perform a function or a service automatically, or in response to a request from a user or another device, the electronic device  101 , instead of, or in addition to, executing the function or the service, may request the one or more external electronic devices to perform at least part of the function or the service. The one or more external electronic devices receiving the request may perform the at least part of the function or the service requested, or an additional function or an additional service related to the request, and transfer an outcome of the performing to the electronic device  101 . The electronic device  101  may provide the outcome, with or without further processing of the outcome, as at least part of a reply to the request. To that end, a cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device  101  may provide ultra low-latency services using, e.g., distributed computing or mobile edge computing. In another embodiment, the external electronic device  104  may include an internet-of-things (IoT) device. The server  108  may be an intelligent server using machine learning and/or a neural network. According to an embodiment, the external electronic device  104  or the server  108  may be included in the second network  199 . The electronic device  101  may be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology or IoT-related technology. 
     The electronic device according to various embodiments may be one of various types of electronic devices. The electronic devices may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. According to an embodiment of the disclosure, the electronic devices are not limited to those described above. 
     It should be appreciated that various embodiments of the present disclosure and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes, equivalents, or replacements for a corresponding embodiment. With regard to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It is to be understood that a singular form of a noun corresponding to an item may include one or more of the things, unless the relevant context clearly indicates otherwise. As used herein, each of such phrases as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C,” may include any one of, or all possible combinations of the items enumerated together in a corresponding one of the phrases. As used herein, such terms as “1st” and “2nd,” or “first” and “second” may be used to simply distinguish a corresponding component from another, and does not limit the components in other aspect (e.g., importance or order). It is to be understood that if an element (e.g., a first element) is referred to, with or without the term “operatively” or “communicatively”, as “coupled with,” “coupled to,” “connected with,” or “connected to” another element (e.g., a second element), it means that the element may be coupled with the other element directly (e.g., wiredly), wirelessly, or via a third element. 
     As used in connection with various embodiments of the disclosure, the term “module” may include a unit implemented in hardware, software, or firmware, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, the module may be implemented in a form of an application-specific integrated circuit (ASIC). 
     Various embodiments as set forth herein may be implemented as software (e.g., the program  140 ) including one or more instructions that are stored in a storage medium (e.g., internal memory  136  or external memory  138 ) that is readable by a machine (e.g., the electronic device  101 ). For example, a processor (e.g., the processor  120 ) of the machine (e.g., the electronic device  101 ) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a complier or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the term “non-transitory” simply means that the storage medium is a tangible device, and does not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium. 
     According to an embodiment, a method according to various embodiments of the disclosure may be included and provided in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., PlayStore™), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer&#39;s server, a server of the application store, or a relay server. 
     According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities, and some of the multiple entities may be separately disposed in different components. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added. 
       FIG.  2    is a block diagram illustrating an integrated intelligence system according to an example embodiment. 
     Referring to  FIG.  2   , the integrated intelligent system according to an example embodiment may include a user terminal  201 , an intelligent server  300 , and a service server  400 . 
     The user terminal  201  (e.g., the electronic device  101  of  FIG.  1   ) according to an example embodiment may be a terminal device (or electronic device) connectable to the Internet. For example, the electronic device may be any one of a mobile phone, a smartphone, or a personal digital assistant (PDA), a laptop computer, a television (TV), a home appliance, a wearable device, a head mounted device (HMD), or a smart speaker. However, the disclosure is not limited thereto, and as such the user terminal  201  may be another type of electronic device. 
     According to the example embodiment, the user terminal  201  may include a communication interface  290 , a microphone  270 , a speaker  255 , a display  260 , a memory  230 , and/or a processor  220 . The components listed above may be operatively or electrically connected to each other. However, the disclosure is not limited thereto, and as such the other components may be included in the user terminal  201 . 
     The communication interface  290  (e.g., the communication module  190  of  FIG.  1   ) may be configured to be connected to an external device to transmit/receive data. The microphone  270  (e.g., the audio module  170  of  FIG.  1   ) may receive a sound (e.g., an utterance of the user) and convert the sound into an electrical signal. The speaker  255  (e.g., the sound output module  155  of  FIG.  1   ) may output the electrical signal as a sound (e.g., voice). The display  260  (e.g., the display module  160  of  FIG.  1   ) may be configured to display an image or video. The display  260  according to an example embodiment may also display a graphic user interface (GUI) of an executed app (or an application program). 
     The memory  230  (e.g., the memory  130  of  FIG.  1   ) according to an example embodiment may store a client module  231 , a software development kit (SDK)  233 , and a plurality of applications. The client module  231  and the SDK  233  may constitute a framework (or a solution program) for performing general functions. In addition, the client module  231  or the SDK  233  may constitute a framework for processing a voice input. 
     The plurality of applications (e.g., first app  235   a  and second app  235   b ) may be programs for performing a specified function. According to an example embodiment, the plurality of applications may include a first app  235   a  and/or a second app  235   b . According to an example embodiment, each of the plurality of applications may include a plurality of operations for performing a specified function. For example, the applications may include an alarm app, a message app, and/or a schedule app. According to an example embodiment, the plurality of applications may be executed by the processor  220  to sequentially execute at least some of the plurality of operations. 
     The processor  220  according to an example embodiment may control the overall operations of the user terminal  201 . For example, the processor  220  may be electrically connected to the communication interface  290 , the microphone  270 , the speaker  255 , and the display  260  to perform a specified operation. For example, the processor  220  may include at least one processor. 
     The processor  220  according to an example embodiment may also execute a program stored in the memory  230  to perform a specified function. For example, the processor  220  may execute at least one of the client module  231  and the SDK  233  to perform the following operations for processing a voice input. The processor  220  may control operations of a plurality of applications through, for example, the SDK  233 . The following operations described as operations of the client module  231  or SDK  233  may be operations performed by execution of the processor  220 . 
     The client module  231  according to an example embodiment may receive a voice input. For example, the client module  231  may receive a voice signal corresponding to an utterance of the user detected through the microphone  270 . The client module  231  may transmit the received voice input (e.g., voice signal) to the intelligent server  300 . The client module  231  may transmit, to the intelligent server  300 , state information about the user terminal  201  together with the received voice input. The state information may be, for example, execution state information for an app. 
     The client module  231  according to an example embodiment may receive a result corresponding to the received voice input from the intelligent server  300 . For example, if the intelligent server  300  may calculate a result corresponding to the received voice input, the client module  231  may receive a result corresponding to the received voice input. The client module  231  may display the received result on the display  260 . 
     The client module  231  according to an example embodiment may receive a plan corresponding to the received voice input. The client module  231  may display, on the display  260 , execution results of a plurality of actions of the app according to the plan. The client module  231  may, for example, sequentially display, on the display  260 , the execution results of the plurality of actions. For another example, the user terminal  201  may display only some execution results of the plurality of actions (e.g., the result of the last action) on the display  260 . 
     According to an example embodiment, the client module  231  may receive a request for obtaining information necessary for calculating a result corresponding to the voice input from the intelligent server  300 . According to an example embodiment, the client module  231  may transmit the necessary information to the intelligent server  300  based on the request. According to an example embodiment, the client module  231  may transmit the necessary information to the intelligent server  300  in response to the request. 
     The client module  231  according to an example embodiment may transmit, to the intelligent server  300 , result information obtained by executing the plurality of actions according to the plan. The intelligent server  300  may confirm that the voice input received by using the result information has been correctly processed. 
     The client module  231  according to an example embodiment may include a speech recognition module. According to an example embodiment, the client module  231  may recognize a voice input to perform a limited function through the speech recognition module. For example, the client module  231  may execute an intelligent app for processing a specified voice input (e.g., wake up!) by performing an organic operation in response to the voice input. 
     The intelligent server  300  according to an example embodiment may receive information related to the voice input of the user from the user terminal  201  through a network  299  (e.g., the first network  198  and/or the second network  199  of  FIG.  1   ). According to an example embodiment, the intelligent server  300  may change data related to the received voice input into text data. According to an example embodiment, the intelligent server  300  may generate at least one plan for performing a task corresponding to the voice input of the user based on the text data. 
     According to one embodiment, the plan may be generated by an artificial intelligent (AI) system. The artificial intelligence system may be a rule-based system, and may be a neural network-based system (e.g., a feedforward neural network (FNN), and/or a recurrent neural network (RNN)). Alternatively, the artificial intelligence system may be a combination of those described above, or another artificial intelligence system other than those described above. According to an example embodiment, the plan may be selected from a set of predefined plans or may be generated in real time based on a user request. According to an example embodiment, the plan may be selected from a set of predefined plans or may be generated in real time in response to a user request. For example, the artificial intelligence system may select at least one plan from among a plurality of predefined plans. 
     The intelligent server  300  according to an example embodiment may transmit a result according to the generated plan to the user terminal  201  or transmit the generated plan to the user terminal  201 . According to an example embodiment, the user terminal  201  may display a result according to the plan on the display  260 . According to an example embodiment, the user terminal  201  may display, on the display  260 , a result obtained by executing actions according to the plan. 
     The intelligent server  300  according to an example embodiment may include a front end  310 , a natural language platform  320 , a capsule database  330 , an execution engine  340 , an end user interface  350 , a management platform  360 , a big data platform  370 , and an analytic platform  380 . However, the disclosure is not limited to the components illustrated in  FIG.  2   . As such, according to another example embodiment, the intelligent server  300  may include other component and/or one or more of the components in  FIG.  2    may be omitted. 
     The front end  310  according to an example embodiment may receive a voice input received by the user terminal  201  from the user terminal  201 . The front end  310  may transmit a response corresponding to the voice input to the user terminal  201 . 
     According to an example embodiment, the natural language platform  320  may include an automatic speech recognition module (ASR module)  321 , a natural language understanding module (NLU module)  323 , a planner module  325 , a natural language generator module (NLG module)  327 , and/or a text-to-speech module (TTS module)  329 . 
     The automatic speech recognition module  321  according to an example embodiment may convert the voice input received from the user terminal  201  into text data. The natural language understanding module  323  according to an example embodiment may determine an intent of the user by using text data of the voice input. For example, the natural language understanding module  323  may determine the intent of the user by performing syntactic analysis and/or semantic analysis. The natural language understanding module  323  according to an example embodiment may identify the meaning of words by using linguistic features (e.g., grammatical elements) of morphemes or phases, and determine the intent of the user by matching the meaning of the identified word with the intent. 
     The planner module  325  according to an example embodiment may generate a plan by using the intent and parameters determined by the natural language understanding module  323 . According to an example embodiment, the planner module  325  may determine a plurality of domains required to perform a task based on the determined intent. The planner module  325  may determine a plurality of actions included in each of the plurality of domains determined based on the intent. According to an example embodiment, the planner module  325  may determine parameters required to execute the determined plurality of actions or a result value output by the execution of the plurality of actions. The parameter and the result value may be defined as a concept of a specified format (or class). Accordingly, the plan may include a plurality of actions and/or a plurality of concepts determined by the intent of the user. The planner module  325  may determine the relationship between the plurality of actions and the plurality of concepts in stages (or hierarchically). For example, the planner module  325  may determine an execution order of the plurality of actions determined based on the intent of the user based on the plurality of concepts. In other words, the planner module  325  may determine the execution order of the plurality of actions based on parameters required for execution of the plurality of actions and results output by the execution of the plurality of actions. Accordingly, the planner module  325  may generate a plan including information (e.g., ontology) on the relation between a plurality of actions and a plurality of concepts. The planner module  325  may generate the plan by using information stored in the capsule database  330  in which a set of relationships between concepts and actions is stored. 
     The natural language generator module  327  according to an example embodiment may change specified information into a text format. The information changed to the text format may be in the form of natural language utterance. The text-to-speech module  329  according to an example embodiment may change information in a text format into information in a voice format. 
     According to an example embodiment, some or all of the functions of the natural language platform  320  may be implemented in the user terminal  201  as well. For example, the user terminal  201  may include an automatic speech recognition module and/or a natural language understanding module. After the user terminal  201  recognizes a voice command of the user, text information corresponding to the recognized voice command may be transmitted to the intelligent server  300 . For example, the user terminal  201  may include a text-to-speech module. The user terminal  201  may receive text information from the intelligent server  300  and output the received text information as voice. 
     The capsule database  330  may store information on relationships between a plurality of concepts and actions corresponding to a plurality of domains. A capsule according to an example embodiment may include a plurality of action objects (or action information) and/or concept objects (or concept information) included in the plan. According to an example embodiment, the capsule database  330  may store a plurality of capsules in the form of a concept action network (CAN). According to an example embodiment, the plurality of capsules may be stored in a function registry included in the capsule database  330 . 
     The capsule database  330  may include a strategy registry in which strategy information necessary for determining a plan corresponding to a voice input is stored. The strategy information may include reference information for determining one plan when there are a plurality of plans corresponding to the voice input. According to an example embodiment, the capsule database  330  may include a follow up registry in which information on a subsequent action for suggesting a subsequent action to the user in a specified situation is stored. The subsequent action may include, for example, a subsequent utterance. According to an example embodiment, the capsule database  330  may include a layout registry that stores layout information regarding information output through the user terminal  201 . According to an example embodiment, the capsule database  330  may include a vocabulary registry in which vocabulary information included in the capsule information is stored. According to an example embodiment, the capsule database  330  may include a dialog registry in which information regarding a dialog (or interaction) with a user is stored. The capsule database  330  may update a stored object through a developer tool. The developer tool may include, for example, a function editor for updating an action object or a concept object. The developer tool may include a vocabulary editor for updating the vocabulary. The developer tool may include a strategy editor for generating and registering strategies for determining plans. The developer tool may include a dialog editor for generating a dialog with the user. The developer tool may include a follow up editor that may edit follow-up utterances that activate subsequent goals and provide hints. The subsequent goal may be determined based on a currently set goal, a user&#39;s preference, or an environmental condition. In an example embodiment, the capsule database  330  may be implemented in the user terminal  201  as well. 
     The execution engine  340  according to an example embodiment may calculate a result by using the generated plan. The end user interface  350  may transmit the calculated result to the user terminal  201 . Accordingly, the user terminal  201  may receive the result and provide the received result to the user. The management platform  360  according to an example embodiment may manage information used in the intelligent server  300 . The big data platform  370  according to an example embodiment may collect user data. The analytic platform  380  according to an example embodiment may manage the quality of service (QoS) of the intelligent server  300 . For example, the analytic platform  380  may manage the components and processing speed (or efficiency) of the intelligent server  300 . 
     The service server  400  according to an example embodiment may provide a specified service (e.g., food order or hotel reservation) to the user terminal  201 . According to an example embodiment, the service server  400  may be a server operated by a third party. The service server  400  according to an example embodiment may provide, to the intelligent server  300 , information for generating a plan corresponding to the received voice input. The provided information may be stored in the capsule database  330 . In addition, the service server  400  may provide result information according to the plan to the intelligent server  300 . The service server  400  may communicate with the intelligent server  300  and/or the user terminal  201  through the network  299 . The service server  400  may communicate with the intelligent server  300  through a separate connection. Although the service server  400  is illustrated as one server in  FIG.  2   , embodiments of the disclosure are not limited thereto. At least one of the respective services  401 ,  402 , and  403  of the service server  400  may be implemented as a separate server. 
     In the integrated intelligent system described above, the user terminal  201  may provide various intelligent services to the user in response to a user input. The user input may include, for example, an input through a physical button, a touch input, or a voice input. 
     In an example embodiment, the user terminal  201  may provide a speech recognition service through an intelligent app (or a speech recognition app) stored therein. In this case, for example, the user terminal  201  may recognize a user utterance or a voice input received through the microphone  270 , and provide a service corresponding to the recognized voice input to the user. 
     In an example embodiment, the user terminal  201  may perform a specified operation alone or together with the intelligent server  300  and/or the service server  400 , based on the received voice input. For example, the user terminal  201  may execute an app corresponding to the received voice input and perform a specified operation through the executed app. 
     In an example embodiment, when the user terminal  201  provides a service together with the intelligent server  300  and/or the service server  400 , the user terminal  201  may detect a user utterance by using the microphone  270  and generate a signal (or voice data) corresponding to the detected user utterance. The user terminal  201  may transmit the voice data to the intelligent server  300  by using the communication interface  290 . 
     In response to the voice input received from the user terminal  201 , the intelligent server  300  according to an example embodiment may generate a plan for performing a task corresponding to the voice input, or a result of performing an action according to the plan. The plan may include, for example, a plurality of actions for performing a task corresponding to the voice input of the user and/or a plurality of concepts related to the plurality of actions. The concepts may define parameters input to the execution of the plurality of actions or result values output by the execution of the plurality of actions. The plan may include relation information between a plurality of actions and/or a plurality of concepts. 
     The user terminal  201  according to an example embodiment may receive the response by using the communication interface  290 . The user terminal  201  may output a voice signal generated in the user terminal  201  by using the speaker  255  to the outside, or output an image generated in the user terminal  201  by using the display  260  to the outside. 
       FIG.  3    is a diagram illustrating a form in which information on relation between concepts and actions is stored in a database, according to an example embodiment. 
     A capsule database (e.g., the capsule database  330 ) of the intelligent server  300  may store a capsule in the form of a concept action network (CAN). The capsule database may store an action for processing a task corresponding to a voice input of the user and a parameter necessary for the action in the form of the concept action network (CAN). 
     The capsule database may store a plurality of capsules. According to an example embodiment, the plurality of capsules may include a capsule A  331  and a capsule B  334  corresponding to a plurality of domains (e.g., applications), respectively. According to an example embodiment, one capsule (e.g., the capsule A  331 ) may correspond to one domain (e.g., location (geo), application). In addition, one capsule may correspond to a capsule of at least one service provider (e.g., CP 1  332 , CP 2  333 , CP3  335 , and/or CP4  336 ) for performing a function for a domain related to the capsule. According to an example embodiment, one capsule may include at least one action  330   a  and at least one concept  330   b  for performing a specified function. 
     The natural language platform  320  may generate a plan for performing a task corresponding to the voice input received by using a capsule stored in the capsule database  330 . For example, the planner module  325  of the natural language platform may generate a plan by using a capsule stored in the capsule database. For example, a plan  337  may be generated by using actions  331   a  and  332   a  and concepts  331   b  and  332   b  of the capsule A  331  and an action  334   a  and a concept  334   b  of the capsule B  334 . 
       FIG.  4    is a diagram illustrating a screen in which the user terminal processes a voice input received through the intelligent app, according to an example embodiment. 
     The user terminal  201  may execute an intelligent app to process the user input through the intelligent server  300 . 
     According to an example embodiment, if a specified voice input (e.g., wake up!) is recognized or an input is received through a hardware key (e.g., dedicated hardware key), on a first screen  210 , the user terminal  201  may execute the intelligent app to process the voice input. The user terminal  201  may, for example, execute the intelligent app in a state in which the schedule app is being executed. According to an example embodiment, the user terminal  201  may display an object (e.g., an icon)  211  corresponding to the intelligent app on the display  260 . According to an example embodiment, the user terminal  201  may receive a voice input by a user utterance. For example, the user terminal  201  may receive a voice input saying “Tell me the schedule of the week!”. According to an example embodiment, the user terminal  201  may display a user interface (UI)  213  (e.g., an input window) of the intelligent app in which text data of the received voice input is displayed on the display. 
     According to an example embodiment, on the second screen  215 , the user terminal  201  may display a result corresponding to the received voice input on the display. For example, the user terminal  201  may receive a plan corresponding to the received user input, and display ‘schedule of this week’ on the display according to the plan. 
       FIG.  5    illustrates a system for performing an action based on an utterance, according to an example embodiment. 
     Referring to  FIG.  5   , a system  500  may include a user device  501 , a server device  511 , a first external electronic device  521 , and a second external electronic device  522 . 
     The user device  501  may be referred to as a listener device that receives utterance  590  of a user  599 , and may include components similar to those of the user terminal  201  of  FIG.  2    or the electronic device  101  of  FIG.  1   . The user device  501  may include a voice assistant (e.g., the client module  231  of  FIG.  2   ). The user device  501  may be configured to receive the utterance  590  of the user  599  using a voice receiving circuitry (e.g., the audio module  170  of  FIG.  1   ), and transmit utterance data corresponding to the utterance  590  to the server device  511 . For example, the user device  501  may be configured to transmit utterance data to the server device  511  through a network such as the Internet. 
     A target device may be referred to as a device to be controlled by the utterance  590 . For example, the target device of the utterance  590  may be referred to as at least one of the user device  501 , the first external electronic device  521 , and/or the second external electronic device  522 . Each of the first external electronic device  521  and the second external electronic device  522  may include components similar to those of the electronic device  101  of  FIG.  1   . 
     For example, the target device (e.g., the first external electronic device  521  and/or the second external electronic device  522 ) may be configured to receive control data from the server device  511  through a network such as the Internet and perform an operation according to the control data. For another example, the target device may be configured to receive the control data from the listener device (e.g., the user device  501 ) (through a local area network (e.g., NFC, WiFi, LAN, Bluetooth, or D2D) or RF signal), and perform an operation according to the control data. 
     The server device  511  may include at least one server device. For example, the server device  511  may include a first server  512  and a second server  513 . The server device  511  may be configured to receive utterance data from the user device  501  and process the utterance data. For example, the first server  512  may correspond to the intelligent server  300  of  FIG.  2   . The second server  513  may include a database for the external electronic device  521 . The second server  513  may be referred to as an Internet-of-things (IoT) server. For example, the second server  513  may store information about the external electronic device (e.g., an identifier of the external electronic device, group information, or the like), and may include components for controlling the external electronic device. The first server  512  may determine the intent of the user  599  included in the received utterance data by processing the received utterance data. For example, when the intent of the user  599  is to control an external device (e.g., the first external electronic device  521  and the second external electronic device  522 ), the first server  512  may use data of the second server  513  to identify the target device to be controlled, and may control the target device so that the identified target device performs an action according to the intent. Although the first server  512  and the second server  513  are illustrated as separate components in  FIG.  5   , the first server  512  and the second server  513  may be implemented as one server. 
     According to an example embodiment, speech recognition for the utterance  590 , intent identification, and control of the target device may be performed by one entity or various entities. Examples of the disclosure may include various aspects of speech recognition, intent identification, and control of the target device, as described below. 
     In an example, the utterance data transmitted by the user device  501  to the server device  511  may have any type of file format in which voice is recorded. In this case, the server device  511  may determine the intent of the user  599  for the utterance data through speech recognition and natural language analysis of the utterance data. In an example, the utterance data transmitted by the user device  501  to the server device  511  may include a recognition result of speech corresponding to the utterance  590 . In this case, the user device  501  may perform automatic speech recognition on the utterance  590  and transmit a result of the automatic speech recognition to the server device  511  as the utterance data. In this case, the server device  511  may determine the intent of the user  599  for the utterance data through natural language analysis of the utterance data. 
     In an example, the target device may be controlled based on a signal from the server device  511 . When the intent of the user  599  is to control the target device, the server device  511  may transmit control data to the target device to cause the target device to perform an action corresponding to the intent. In an example, the target device may be controlled based on a signal from the user device  501 . When the intent of the user  599  is to control the target device, the server device  511  may transmit, to the user device  501 , information for controlling the target device. The user device  501  may control the target device using information received from the server device  511 . 
     In an example, the user device  501  may be configured to perform automatic speech recognition and natural language understanding. The user device  501  may be configured to directly identify the intent of the user  599  from the utterance  590 . In this case, the user device  501  may identify the target device using the information stored in the second server  513  and control the target device according to the intent. The user device  501  may control the target device through the second server  513  or may directly transmit a signal to the target device to control the target device. 
     In an example, the system  500  may not include the server device  511 . For example, the user device  501  may be configured to perform all of the actions of the server device  511  described above. In this case, the user device  501  may be configured to identify the intent of the user  599  from the utterance  590 , identify the target device corresponding to the intent from an internal database, and directly control the target device. 
     The various examples described above with reference to  FIG.  5    are various examples capable of controlling the target device based on the utterance, and embodiments of the disclosure are not limited thereto. It should be understood to those skilled in the art that the control methods of the disclosure described below may be carried out using the system of various examples described above with reference to  FIG.  5   . 
       FIG.  6    illustrates a multi-device environment according to an example embodiment. 
     According to an example embodiment, the system  500  may support a quick command and reorganization (e.g., editing) of the quick command to be described below with reference to  FIGS.  6  to  14   . Hereinafter, various examples of the disclosure may be described with reference to  FIGS.  6  to  14   . 
     Referring to  FIG.  6   , the multi-device environment  600  may include a first electronic device  601 , a second electronic device  602 , and a third electronic device  603 . According to an example embodiment, the first electronic device  601  may be the user device  501  of  FIG.  5   , the second electronic device  602  may be the first external electronic device  521  of  FIG.  5   , and the third electronic device  603  may be the second external electronic device  522  of  FIG.  5   . In  FIG.  6   , the first electronic device  601  is illustrated as a mobile phone, the second electronic device  602  is illustrated as an AI speaker, and the third electronic device  603  is illustrated as a personal computer (PC), but each of the first electronic device  601 , the second electronic device  602 , and the third electronic device  603  may be any electronic device. For example, the multi-device environment  600  may include at least a portion of the system  500  of  FIG.  5   . 
     According to an example embodiment, each of the first electronic device  601 , the second electronic device  602 , and the third electronic device  603  may support execution of a quick command. In the disclosure, the term “quick command” may be a specified utterance associated with a plurality of actions (e.g., tasks). For example, the specified utterance associated with a plurality of actions may be specified by a user  699  or a manufacturer of a user device (e.g., the first electronic device  601 ). A plurality of actions associated with the specified utterance may be specified by the user  699  or the manufacturer of the user device. For example, the first electronic device  601  may be configured to, if the utterance of the user  699  corresponds to the quick command, perform a plurality of actions associated with the quick command (e.g., directly or through the second electronic device  602  and/or the third electronic device  603 ). According to an example embodiment, a quick command may be a short cut command that can be uttered by a user to perform multiple tasks or actions without having to utter separate commands for each or the multiple tasks. 
     The quick command is an utterance with which or to which a plurality of actions are associated or mapped, and may be personalized by the user  699 . According to an example embodiment, a system (e.g., the system  500  of  FIG.  5   ) may include a database that stores a quick command and information on actions mapped or related to the quick command. For example, the database may be located in a device (e.g., the user device  501  and/or the server device  511  of  FIG.  5   ) in which natural language understanding of the utterance is performed. The user  699  may specify an arbitrary utterance or an arbitrary syntax as the quick command, and may specify an arbitrary action in the quick command. Any actions associated with one quick command may be associated with one or more electronic devices. For example, a first action and a second action may be associated with one quick command. In an example, the first action may be performed in the first electronic device  601  and the second action may be performed in the second electronic device  602 . The user  699  may specify an electronic device to perform each action. 
     For example, the quick command may have a relatively high priority compared to other utterances. A system for executing the quick command (e.g., the system  500  of  FIG.  5   ) may be configured to, if the quick command is detected from an utterance in the natural language understanding process, perform actions mapped to the quick command, instead of performing an action in another domain. 
     For example, three actions: “weather alert (first action)”, “stock index notification (second action)”, and “schedule reminder (third action)” may be mapped to a quick command called “briefing”. The system may be configured to, if the quick command “briefing” is exactly matched from an utterance, perform the action mapped to the quick command. For example, the first action and the third action may be associated with the first electronic device  601 , and the second action may be associated with the second electronic device  602 . The system may be configured to, in response to the quick command “briefing”, perform the first action and the third action in the first electronic device  601  and perform the second action in the second electronic device  602 . 
     According to an example embodiment, embodiments of the disclosure may support reorganization or modification (e.g., editing) of a quick command as described below. For example, if a specified edit command is included in the utterance, actions associated with the quick command may be reorganized based on the edit command. The edit command is a specified word, and actions associated with the quick command may be reorganized in a real-time manner if the edit command and the quick command are recognized together from the utterance. 
     In the disclosure, it may be assumed that the quick command and the edit command are recognized (e.g., recognized together) from one continuous utterance. For example, one continuous utterance may mean the utterance of the user  699  that has been recognized within one continuous speech recognition section. The first electronic device  601  may be configured to, when the first electronic device  601  recognizes an utterance, recognize the utterance for a specified time or recognize the utterance until a specified command (e.g., a command instructing end of the utterance) is recognized. Even if speech recognition (e.g., STT) is performed in units of syllables or words, determination of intent for utterance (e.g., natural language understanding) may be performed on all utterances made within one speech recognition section. Therefore, even if the edit command and the quick command are commands separated in a phonetic sense, they may be semantically included in one sentence. In this case, the user  699  may intend to edit the quick command based on the edit command. 
     The edit command may include, for example, a skip word instructing exclusion of at least some of the actions associated with the quick command and/or an adding word for adding a new action to the quick command. For example, the skip word may include at least one of “without”, “skipping”, “excluding”, or “other than”. For example, adding words may include at least one of “with”/“along with”, “including”, “adding/in addition to”, “also”, or “and”. 
     According to an example embodiment, actions of the quick command may be reorganized based on an utterance adjacent to the edit command (e.g., adjacent in word order). For example, “adjacent utterance” is an utterance that precedes or follows an edit command, and may mean an utterance that is continuous in word order. The “adjacent utterance” may correspond to an “adjacent entity” to be described later with reference to  FIG.  8   . For example, if the utterance is “briefing without computer”, the utterance may include an edit command “without” and the quick command “briefing”. In this case, among the actions associated with the quick command, remaining actions, except for the action performed by the “computer”, may be performed. For an example, if the utterance is “briefing including stock indices”, the utterance may include an edit command “including” and the quick command “briefing”. In this case, in addition to the actions associated with the quick command, an action for a stock index guide may be additionally performed. Hereinafter, various methods for reorganizing actions related to the quick command may be described. 
     In the disclosure, the term “quick command” is a term referring to one utterance associated with a plurality of actions, and it will be apparent to those skilled in the art that any term may be used therefor. For example, terms such as shortcut, shortcut command, abbreviation and/or short form command may be used instead of “quick command”. 
     In the disclosure, the term “edit command” is a term referring to one utterance specified for editing of the quick command, and it will be apparent to those skilled in the art that any term may be used therefor. For example, terms such as modification command, amendment, change command, and/or revision may be used instead of “edit command”. 
       FIG.  7    illustrates a block diagram of an electronic device according to an example. 
     Referring to  FIG.  7   , according to an example embodiment, an electronic device  701  may include a processor  720  (e.g., the processor  120  of  FIG.  1   ), a memory  730  (e.g., the memory  130  of  FIG.  1   ), and/or a communication circuitry  740  (e.g., the communication module  190  of  FIG.  1   ). For example, the electronic device  701  may further include an audio circuitry  750  (e.g., the audio module  170  of  FIG.  1   ), and may further include a component not shown in  FIG.  7   . For example, the electronic device  701  may further include at least some components of the electronic device  101  of  FIG.  1   . 
     In various example embodiments of the disclosure, the electronic device  701  may be referred to as a device for reorganizing a quick command. For example, if reorganization of the quick command is performed in a server device (e.g., the server device  511  of  FIG.  5   ), the electronic device  701  may be referred to as a server device. For example, if reorganization of the quick command is performed in a user device (e.g., the user device  501  of  FIG.  5   ), the electronic device  701  may be referred to as a user device. The electronic device  701  may directly control a device associated with the quick command (e.g., a device that performs an action of the quick command) or may control a device associated with the quick command through another device. 
     The processor  720  may be electrically, operatively, or functionally connected to the memory  730 , the communication circuitry  740 , and/or the audio circuitry  750 . In the disclosure, when one component is referred to as being “operatively” connected to another component, it may mean that the component is connected to operate the other component. For example, one component may operate another component by transmitting a control signal to the other component, either directly or via the still another component. In the disclosure, when one component is referred to as being “functionally” connected to another component, it may mean that the component is connected to execute a function of the other component. For example, one component may execute a function of another component by transmitting a control signal to the other component, either directly or via another component. 
     The memory  730  may store instructions. When the instructions are executed by the processor  720 , the instructions may cause the electronic device  701  to perform various actions. 
     The electronic device  701  may, for example, acquire user utterance data and identify a control function corresponding to the user utterance data by using the user utterance data. The electronic device  701  may acquire the user utterance data by using the audio circuitry  750  or may acquire utterance data from an external electronic device by using the communication circuitry  740 . The electronic device  701  may be configured to identify an intent corresponding to the user utterance data, identify the control function (e.g., the quick command and/or edit command) corresponding to the intent, and identify at least one external electronic device supporting the control function by using function information on a plurality of external electronic devices. 
       FIG.  8    illustrates a system for quick command reorganization according to an example embodiment. 
     Referring to  FIG.  8   , the system may include various modules for performing a quick command based on an utterance  890  of a user  899 . The utterance  890  may be a voice command by a user. The term “module” in the description with reference to  FIG.  8    refers to a software module, and may be implemented by instructions being executed by a hardware, such a processor, a central processing unit (CPU) or other electronic circuitry. Each module may be implemented on the same hardware or may be implemented on different hardware. 
     According to an example embodiment, a listener device  801  is a device in which a voice assistant is installed, and may receive the utterance  890  of the user  899  and transmit utterance data corresponding to the utterance  890  to a server device  800 . According to an example embodiment, the listener device  801  may be the user device  501  of  FIG.  5   . For example, the listener device  801  may activate a voice assistant application and activate a microphone (e.g., the audio circuitry  750  of  FIG.  7   ), in response to a wake-up utterance, a button input, or a touch input. The listener device  801  may transmit utterance data corresponding to the received utterance  890  to the server device by using the microphone. The listener device  801  may transmit information about the listener device  801  together with the utterance data to the server device. For example, the information about the listener device  801  may include an identifier of the listener device, a list of functions of the listener device, a status of the listener device (e.g., power status, playback status), and/or location information (e.g., latitude and longitude, or information on a connected access point (AP) (e.g., service set identifier (SSID))). The listener device  801  may provide a result of processing by the server to the user  899  through a speaker or a display. The result processed by the server may include a natural language expression indicating the result of the utterance  890  being processed. In an example, the listener device  801  may include a display, and may be configured to provide various user interfaces (UIs) for registration of a quick command through the display. 
     According to an example embodiment, the server device  800  may include a natural language processing module  810  and a quick command module  820 . According to an example embodiment, the server device  800  may be the server device  511  of  FIG.  5   . The configurations of the server device  800  illustrated in  FIG.  8    are exemplary, and as such, the disclosure are not limited thereto. For example, the server device  800  may further include components of the intelligent server  300  of  FIG.  2   , such as a front end (e.g., the front end  310  of  FIG.  2   ) according to another example embodiment. 
     The natural language processing module  810  may identify user intent based on the utterance data received from the listener device  801 . For example, the natural language processing module  810  may correspond to the intelligent server  300  of  FIG.  2    (e.g., the first server  512  of  FIG.  5   ). The natural language processing module  810  may include an automatic speech recognition module  811 , a natural language understanding module  812 , and a text-to-speech module  813 . The automatic speech recognition module  811  (e.g., the automatic speech recognition module  321  of  FIG.  2   ) may generate text data from utterance data by performing speech recognition on the utterance data. The natural language understanding module  812  (e.g., the natural language understanding module  323  of  FIG.  2   ) may identify the intent of the user by performing natural language understanding on text data. For example, the natural language understanding module  812  may identify an intent corresponding to the utterance  890  by comparing a plurality of predefined intents with text data. Further, the natural language understanding module  812  may extract additional information from the utterance data. For example, the natural language understanding module  812  may perform slot tagging or slot filling by extracting words (e.g., entities) included in the utterance data. The text-to-speech module  813  (e.g., the text-to-speech module  329  of  FIG.  2   ) may be configured to convert feedback in a text format corresponding to the identified intent into a speech format. In an example, the converted voice feedback may be provided to the user  899  via the listener device  801 . 
     The natural language understanding module  812  may include a quick command dispatcher  815 . The natural language understanding module  812  may determine whether a specified command (e.g., a quick command) is included in the utterance data corresponding to the utterance  890 . In an example, the quick command may have a relatively high priority compared to other intents that may be identified from the utterance. If the quick command is identified from the utterance data, the natural language understanding module  812  may analyze a pattern of the utterance  890  by using the quick command dispatcher  815 . In this case, in response to the identification of the quick command, identification of other intents in the utterance  890  may be omitted. 
     The quick command dispatcher  815  may analyze the pattern of the utterance included in the utterance data. For example, if the quick command is identified from the utterance  890 , the quick command dispatcher  815  may determine whether the utterance  890  includes an edit command. For example, the quick command dispatcher  815  may determine, based on the identification of the edit command, that the intent of the utterance  890  of the user  899  includes editing the quick command. If the intent of the utterance  890  includes editing of the quick command, the natural language processing module  810  may reorganize the quick command by transmitting natural language information corresponding to the utterance data to the quick command module  820 . 
     The quick command module  820  may include a quick command database  821  and a quick command reorganization module  822 . The quick command database  821  may include information on at least one quick command associated with the listener device  801  or the user  899  (e.g., a user account). The information on the quick command may include, for example, the quick command, device type (e.g., device identification information), keyword, and/or action (e.g., task) information. The device type is information for identifying a device associated with the quick command, and may include information for identifying any device. The keyword may be referred to as a keyword for identifying an action associated with the quick command or a natural language expression for performing the action. The keyword may include, for example, a keyword for identifying a task instructing a specific action (e.g., an action to be added) or a natural language expression (e.g., a target utterance) to perform the action. The device type and keyword are examples of information for identifying the action to be edited, and may be referred to as action information. Table 1 below shows information on quick commands stored in a quick command database according to an example. 
     
       
         
           
               
               
               
               
               
             
               
                 TABLE 1 
               
               
                   
               
               
                   
                 Quick 
                 Device 
                   
                   
               
               
                 Index 
                 Command 
                 Type 
                 Keyword 
                 Action 
               
               
                   
               
             
            
               
                 1 
                 Working 
                 PC 
                 First Application 
                 Execute First 
               
               
                   
                 from 
                   
                   
                 Application 
               
               
                   
                 Home 
                 MOBILE 
                 Do Not Disturb 
                 Execute Do Not 
               
               
                   
                   
                 PHONE 
                   
                 Disturb Mode 
               
               
                   
                   
                 SPEAKER 
                 Second 
                 Play Music in 
               
               
                   
                   
                   
                 Application/ 
                 Second 
               
               
                   
                   
                   
                 Music 
                 Application 
               
               
                 2 
                 Briefing 
                 MOBILE 
                 Weather 
                 Weather Alert 
               
               
                   
                   
                 PHONE 
               
               
                   
                   
                 MOBILE 
                 Calendar/ 
                 Schedule 
               
               
                   
                   
                 PHONE 
                 Schedule 
                 Reminder 
               
               
                   
                   
                 MOBILE 
                 News 
                 News Alarm 
               
               
                   
                   
                 PHONE 
               
               
                   
               
            
           
         
       
     
     The quick command reorganization module  822  may receive the utterance tagged by the natural language processing module  810  (e.g., text information corresponding to the utterance  890  processed by the natural language processing module  810  through the speech recognition). The quick command reorganization module  822  may identify the quick command from the tagged utterance (hereinafter, referred to as a recognized utterance). The quick command reorganization module  822  may identify actions mapped to the identified quick command by using information stored in the quick command database  821 . According to an example embodiment, the quick command reorganization module  822  may use the identified edit command from the recognized utterance and an entity adjacent to the edit command (e.g., device type or keyword) to reorganize (e.g., modify or edit) actions for the identified quick command). For example, if the entity identified adjacent to the edit command indicates a device type, the quick command reorganization module  822  may reorganize the quick command by editing an action corresponding to the indicated device type based on the edit command. For example, if the entity identified adjacent to the edit command indicates a specified keyword, the quick command reorganization module  822  may reorganize the quick command by editing an action corresponding to the indicated keyword based on the edit command. 
     Referring to Table 1, in an example, the utterance  890  may be “working from home without PC”. Since the utterance  890  includes “working from home” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “working from home” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify an edit command “without” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity “PC”, which is adjacent to the edit command. The quick command reorganization module  822  may reorganize actions of the identified quick command by using the edit command and the adjacent entity (e.g., device type information or keyword). In the present example, the quick command reorganization module  822  may reorganize actions associated with “working from home” with remaining actions except for the action associated with the PC (e.g., execution of the first application), among the actions associated with “working from home”. The server device  800  may perform reorganized actions. For example, the server device  800  may set the “do not disturb” mode in the mobile phone (e.g., the listener device  801 ), and play music on the speaker (e.g., the external device  841 ) by using the second application. 
     Referring to Table 1, in an example, the utterance  890  may be “working from home without music”. Since the utterance  890  includes “working from home” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “working from home” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify the edit command “without” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity “music”, which is adjacent to the edit command. The quick command reorganization module  822  may reorganize actions of the identified quick command by using the edit command and the adjacent entity (e.g., device type information or keyword). In the present example, the quick command reorganization module  822  may reorganize actions associated with “working from home” with remaining actions except for the action associated with music (e.g., music playback in the second application), among the actions associated with “working from home”. The server device  800  may perform reorganized actions. For example, the server device  800  may execute the first application in the PC and set the “do not disturb” mode in the mobile phone (e.g., the listener device  801 ). 
     Referring to Table 1, in an example, the utterance  890  may be “a briefing other than the weather”. Since the utterance  890  includes “briefing” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “briefing” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify an edit command “other than” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity “weather”, which is adjacent to the edit command. The quick command reorganization module  822  may reorganize actions of the identified quick command by using the edit command and the adjacent entity (e.g., device type information or keyword). In the present example, the quick command reorganization module  822  may reorganize actions associated with “briefing” with remaining actions except for the action associated with music (e.g., weather alert), among the actions associated with “briefing”. The server device  800  may perform reorganized actions. For example, the server device  800  may issue notification of schedules and news through a mobile phone (e.g., the listener device  801 ). 
     With reference to Table 1, in an example, the utterance  890  may be “briefing including stock indices.” Since the utterance  890  includes “briefing” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “briefing” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify an edit command “including” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity “stock index”, which is adjacent to the edit command. The quick command reorganization module  822  may reorganize actions of the identified quick command by using the edit command and the adjacent entity (e.g., device type information or keyword). According to an example embodiment, the quick command reorganization module  822  may reorganize actions associated with “briefing” by adding an action of stock index notification together with actions associated with “briefing”. The server device  800  may perform reorganized actions. For example, the server device  800  may provide information on weather, schedule, news, and stock indices through a mobile phone (e.g., the listener device  801 ). 
     In the example of Table 1, the quick command database  821  has been described as including information on the keyword, but embodiments of the disclosure are not limited thereto. For example, the quick command database  821  may not include information on the keyword. In an example embodiment, the quick command reorganization module  822  may identify an action to be edited based on an action similarity with an entity adjacent to the edit command of the recognized utterance. For example, in the example of Table 1, information about a keyword for an action associated with the speaker may not exist. Even in this case, if the similarity between a parameter (e.g., music and the second application) associated with the action and an adjacent entity is equal to or greater than a specified value, the quick command database  821  may identify the action associated with the speaker from the adjacent entity. The above-described similarity may include pronunciation similarity and/or semantic similarity. According to an example embodiment, the similarity may be indicated by a similarity value, which indicates a level of similarity between a first parameter A and a second parameter B. As such, if a similarity value indicating a level of similarity between a parameter (e.g., music and the second application) associated with the action and an adjacent entity is equal to or greater than a specified value, the quick command database  821  may identify the action associated with the speaker from the adjacent entity. 
     According to an example embodiment, the quick command reorganization module  822  may reorganize the quick command based on the order of words (e.g., entities) in the utterance  890 . If the edit command identified from the utterance  890  instructs addition of a task, the quick command reorganization module  822  may reorganize the quick command based on the order of entities recognized in the utterance  890 . The quick command reorganization module  822  may determine whether a task to be added (hereinafter, referred to as an additional task) will be performed before or after a task (hereinafter, referred to as a quick command task) mapped to the quick command, based on the order of recognized entities. 
     For example, the quick command reorganization module  822  may determine the execution order of the additional task based on the order of the edit command and the quick command in the utterance  890 . If the edit command precedes the quick command, the quick command reorganization module  822  may reorganize the quick command so that the additional task is performed before the quick command task. If the quick command precedes the edit command, the quick command reorganization module  822  may reorganize the quick command so that the additional task is performed after the execution of the quick command task. 
     For example, the quick command reorganization module  822  may determine the execution order of the additional task based on the order of the quick command and the adjacent entity within the utterance  890 . If the adjacent entity precedes the quick command, the quick command reorganization module  822  may reorganize the quick command so that the additional task (e.g., a task corresponding to the adjacent entity) is performed before the quick command task. If the quick command precedes the adjacent entity, the quick command reorganization module  822  may reorganize the quick command so that the additional task is performed after the execution of the quick command task. 
     Referring to Table 1, in an example, the utterance  890  may be “working from home and run the messenger on the desktop”. Since the utterance  890  includes “working from home” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “working from home” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify an edit command “and” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity (e.g., a target utterance) adjacent to the edit command “run the messenger on the desktop”. The quick command reorganization module  822  may reorganize the quick command so as to execute tasks mapped to “working from home” based on the order of the recognized entities in the utterance  890  and then execute a messenger, which is the additional task, on the desktop. 
     Referring to Table 1, in an example, the utterance  890  may be “turn on the lights in the living room and working from home.” Since the utterance  890  includes “working from home” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “working from home” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify an edit command “and” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity (e.g., a target utterance) adjacent to the edit command “turn on the lights in the living room”. The quick command reorganization module  822  may reorganize the quick command so as to turn on the lights in the living room based on the order of recognized entities within the utterance  890  and then execute tasks mapped to “working from home”. 
     According to an example embodiment, the quick command reorganization module  822  may reorganize the quick command based on the logical order of tasks to be added in words (e.g., entities) in the utterance  890 . If the edit command identified from the utterance  890  instructs addition of a task, the quick command reorganization module  822  may reorganize the quick command based on the logical order of the quick command task and the additional task recognized in the utterance  890 . For example, the additional task may be a task that logically follows the task of the quick command. That is, the additional task may be a task to be executable only after the quick command task is executed. In this case, the quick command reorganization module  822  may reorganize the quick command so that the logically following task may be executed after the logically preceding task is executed. 
     Referring to Table 1, in an example, the utterance  890  may be “speaker volume up and working from home”. Since the utterance  890  includes “working from home” registered as the quick command, the quick command reorganization module  822  may identify actions associated with “working from home” from information stored in the quick command database  821 . The quick command reorganization module  822  may identify an edit command “and” from the recognized utterance. In addition, the quick command reorganization module  822  may identify an entity (e.g., a target utterance) adjacent to the edit command “speaker volume up”. Speaker volume-up may be premised on playing music on the speaker. In this case, the additional task may be premised on the execution of the task of “play music in the second application” of the quick command. If the additional task is premised on the execution of the task of the quick command as described above, the additional task may be a task that logically follows the task of the quick command. The quick command reorganization module  822  may reorganize the quick command so that logically following “speaker volume up” is executed after the execution of the quick command task. 
     In the example of  FIG.  8   , for convenience of description, the server device  800  and the listener device  801  have been described separately, but embodiments of the disclosure are not limited thereto. For example, components of the server device  800  may be implemented in the listener device  801 . As described above with reference to  FIG.  7   , the electronic device  701  of  FIG.  7    refers to an electronic device that reorganizes the quick command. For example, if the quick command module  820  is implemented in the server device  800 , the electronic device  701  of  FIG.  7    may be referred to as the server device  800 . For example, if the quick command module  820  is implemented in the listener device  801 , the electronic device  701  may be referred to as the listener device  801 . 
       FIG.  9    illustrates a flowchart of a method of performing a task in an example embodiment. 
     Referring to  FIGS.  7  and  9   , in operation  905 , the electronic device  701  may acquire user utterance data. For example, the electronic device  701  may acquire user utterance data from an external device (e.g., the listener device  801  of  FIG.  8   ). The user utterance data may include voice data corresponding to the utterance of the user or text data corresponding to the utterance of the user. According to another example, the electronic device  701  may acquire utterance data from the user by using the audio circuitry  750  of the electronic device  701 . 
     According to an example embodiment, it may be assumed that the utterance data of the user includes a quick command and an edit command. If the utterance is “working from home without PC”, the electronic device  701  may generate text data (e.g., working from home without PC) corresponding to the utterance. For example, the electronic device  701  may label or tag the text data corresponding to the utterance data. The electronic device  701  may identify (e.g., label or tag) “working from home” as the quick command “without” as the edit command, and “PC” as the adjacent entity (e.g., device type information or keyword information). If the utterance is “briefing including stock indices”, the electronic device  701  may identify “briefing” (see the example in Table 1) as the quick command “including” as the edit command, and “stock index” as the adjacent entity. 
     In operation  910 , the electronic device  701  may identify a plurality of tasks associated with the quick command by using the quick command. According to an example embodiment, the electronic device  701  may identify a task set (i.e., a set of tasks) associated with the quick command. The task set may include the plurality of tasks associated with the quick command. For example, the electronic device  701  may identify a plurality of tasks (e.g., actions) associated with the identified quick command by using a database of quick commands (e.g., the quick command database  821  of  FIG.  8   ) stored in the electronic device  701 . 
     In operation  915 , the electronic device  701  may edit (e.g., reorganize) a task associated with the quick command by excluding one task from among the plurality of tasks or adding another task based on the edit command. For example, the electronic device  701  may edit a task associated with the command in real time and/or dynamically based on the edit command. The electronic device  701  may recombine the task associated with the quick command by using the edit command and an entity (e.g., device information or keyword information) uttered adjacent to the edit command. The edit command and the adjacent entity may be referred to as an utterance pattern instructing editing of the quick command. 
     In response to the identification of the utterance pattern instructing the editing, the electronic device  701  may edit the task associated with the quick command. For example, the electronic device  701  may recombine actions associated with the quick command based on the utterance pattern and information acquired from the quick command database. 
     For example, the edit command may instruct exclusion of an action, and the adjacent entity may be a device type. In this case, the electronic device  701  may identify an action to be excluded among the actions of the corresponding quick command by using the device type information. The electronic device  701  may reorganize actions of the quick command with the remaining actions except for the identified action. 
     For example, the edit command may instruct exclusion of an action, and the adjacent entity may include keyword information. In this case, an action to be excluded among actions of the corresponding quick command may be identified by using the keyword information. For example, the electronic device  701  may identify an action to be excluded based on a similarity (e.g., pronunciation and/or meaning) between the keyword information and actions of the quick command. For example, the electronic device  701  may identify, as an action to be excluded, an action having a similarity with the keyword information which is equal to or greater than a specified similarity. The electronic device  701  may reorganize actions of the quick command with the remaining actions except for the identified action. 
     For example, the edit command may instruct addition of an action, and the adjacent entity may include keyword information. In this case, the electronic device  701  may identify an action (e.g., task) to be additionally performed by using the keyword information. The electronic device  701  may reorganize the action of the quick command by adding an action associated with the keyword information to the actions of the corresponding quick command. 
     In operation  920 , the electronic device  701  may perform the edited task. For example, the electronic device  701  may transmit a control signal to the external electronic device so that the external electronic device performs the edited task. If the electronic device  701  is a listener device and a part of the edited task is associated with the listener device, the electronic device  701  may directly perform the edited task. For example, the processor of the electronic device  701  may control the electronic device  701  to perform the edited task and/or control an external electronic device to perform the task. 
     The electronic device  701  may feedback information on the edited task to the user. For example, if the electronic device  701  is a server device, the electronic device  701  may provide feedback through the listener device by transmitting, to the listener device, information on reorganized actions (e.g., the list of reorganized actions and/or voice data for the list of reorganized actions). For another example, if the electronic device  701  is a listener device, the electronic device  701  may provide feedback by using a display and/or an audio output circuit. 
     According to an example embodiment, reorganization of the task (e.g., reorganization of actions) may be temporary. For example, the electronic device  701  may temporarily reorganize the task, and after reorganization, save the task associated with the quick command in an original state. However, as will be described later with reference to  FIGS.  13  and  14   , the electronic device  701  may be configured to provide a UI for saving the reorganized quick command. 
       FIG.  10    illustrates a flowchart of a method of performing a task according to an example embodiment. 
     With reference to a flowchart  1000  of  FIGS.  7  and  10   , the operations of the flowchart  1000  of  FIG.  10    may correspond to operations  910  and  915  of  FIG.  9   . 
     In operation  1005 , the electronic device  701  may determine whether the utterance data includes a quick command. For example, the electronic device  701  may determine whether the utterance data includes a quick command by using the quick command stored in the quick command database. 
     If the utterance data does not include the quick command (e.g., NO in operation  1005 ), in operation  1025 , the electronic device  701  may perform an action corresponding to the utterance data. For example, the electronic device  701  may perform an action corresponding to the utterance data based on the speech recognition and intent identification described above with reference to  FIG.  2   . 
     If the utterance data includes the quick command (e.g., YES in operation  1005 ), in operation  1010 , the electronic device  701  may determine whether the utterance data includes an edit command. For example, the electronic device  701  may determine whether the utterance data includes an edit command based on the speech recognition for the utterance data. For example, the edit command may include a skip word instructing exclusion of at least some of the actions associated with the quick command and/or an adding word for adding a new action to the quick command. For example, the skip word may include at least one of “without”, “skipping”, “excluding”, or “other than”. For example, adding words may include at least one of “with”/“along with”, “including”, “adding/in addition to”, or “and”. 
     If the utterance data does not include the edit command (e.g., NO in operation  1010  or does not include the device information and the keyword (e.g., NO in operation  1015 ), in operation  1030 , the electronic device  701  may provide tasks corresponding to the quick command. For example, the electronic device  701  may perform tasks without editing the quick command. Although it has been described in  FIG.  10    that tasks corresponding to the quick command are performed if information on actions to be edited is not identified even when the edit command is identified, embodiments of the disclosure are not limited thereto. In this case, the electronic device  701  may be configured to inquire of the user which action to edit. 
     If the utterance data includes the device information or the keyword (e.g., YES in operation  1015 ), in operation  1020 , the electronic device  701  may edit tasks corresponding to the quick command and perform the edited tasks. For example, the utterance data may be “working from home without PC”. Referring to the example of Table 1 described above, the electronic device  701  may identify the quick command “working from home” and the edit command “without” from the utterance data, and may identify the device information “PC”. In this case, the electronic device  701  may be configured to perform actions other than those associated with the PC among actions associated with “working from home”. For another example, the utterance data may be “working from home without playing music”. Referring to the example of Table 1 described above, the electronic device  701  may identify the quick command “working from home” and the edit command “without” from the utterance data, and may identify the key word “playing music”. The electronic device  701  may be configured to perform actions other than those associated with music playback among actions associated with “working from home”. For another example, the utterance data may be “briefing including stock indices”. Referring to the example of Table 1 described above, the electronic device  701  may identify the quick command “briefing”, the edit command “including”, and the key word “stock indices” from the utterance data. The electronic device  701  may be configured to perform actions associated with notification of stock indices, together with actions associated with “briefing”. 
       FIG.  11    illustrates a user interface (UI) for editing a quick command according to an example embodiment. 
     Referring to  FIG.  11   , a user device (e.g., the listener device  801  of  FIG.  8   ) may provide an editing UI  1100  for editing the quick command. A user may register or edit the quick command by using the editing UI  1100 . 
     A quick command input interface  1110  may indicate the quick command input by the user. For example, the user may specify the quick command through voice utterance or a touch input (e.g., input to a virtual keyboard). The quick command specified by the user may be displayed on the quick command input interface  1110 . If an input to the quick command input interface  1110  is received, the user device may provide a new UI for allowing the user to input a new quick command. 
     An action addition UI  1120  may include a menu for adding an action to the quick command. For example, if an input to a device selection UI  1121  or a drop-down button  1122  is received, the user device may provide a list of electronic devices registered in a user account of the user device. The user may select a device to perform an action through an input for the provided list of electronic devices. If a device is selected, the selected device may be displayed on the device selection UI  1121 . For example, if an input to an action UI  1123  is received, the user device may provide a list of actions that may be performed by the selected device. The user may select an action to be performed through an input for the provided list of actions. If an action is selected, the selected action may be displayed on the action UI  1123 . After selecting the device and the action, the user may add the action to the quick command through an input to an add button  1124 . 
     Under the action addition UI  1120 , a list of actions associated with the current corresponding quick command may be displayed. For example, first action information  1130  may include information  1132  on a first action and information  1131  on a device to perform the first action. For example, second action information  1140  may include information  1142  on a second action and information  1141  on a device to perform the second action. 
     For example, the editing UI  1100  may include a deletion interface for deletion of an action associated with the quick command. For example, if an input to a first delete button  1133  is received, the user device may delete the first action from among the actions of the corresponding quick command. For example, if an input to a second delete button  1143  is received, the user device may delete the second action from among the actions of the corresponding quick command. 
     If an input to a cancel button  1151  is received, the user device may cancel the modification of the quick command and end the provision of the editing UI  1100 . If an input to a save button  1152  is received, the user device may save the modification of the quick command and end the provision of the editing UI  1100 . 
       FIG.  12    illustrates an execution screen of a quick command according to an example embodiment. 
     Referring to  FIG.  12   , a user device (e.g., the listener device  801  of  FIG.  8   ) may provide an execution screen  1200 . For example, the execution screen  1200  may include quick command information  1210  indicating an executed quick command. The execution screen  1200  may also include information  1220  on executed actions. In the example of  FIG.  12   , the information  1220  on executed actions may include first device information  1221 , first action information  1222  performed in the first device, second device information  1223 , second action information  1224  performed in the second device, the second motion information  1224 , third device information  1225 , and third action information performed in the third device. 
     In an example, the execution screen  1200  may include guide information  1230 . The guide information  1230  may include, for example, guide information on utterances for real-time editing of the quick command. By providing the method of editing the quick command based on the edit command, the user may intuitively edit the quick command. 
     If an input to an OK button  1240  is received, the user device may end display of the execution screen  1200 . 
       FIG.  13    illustrates an edited execution screen of a quick command according to an example embodiment. 
     Referring to  FIG.  13   , a user device (e.g., the listener device  801  of  FIG.  8   ) may provide an execution screen  1300  after executing the edited quick command based on the edit command. 
     The execution screen  1300  may include utterance information  1311  corresponding to the utterance and feedback  1312  on the utterance information. In the example of  FIG.  13   , the utterance data indicated by the utterance information  1311  may include the quick command “working from home”, the edit command “without”, and the device type information “device  3 ”. The feedback  1312  may include information on an action or device excluded based on the above edit command. 
     Information  1320  on executed actions may include information on executed actions and information on unexecuted actions. In the example of  FIG.  13   , it may be assumed that a first action and a second action are executed, but a third action is not executed. 
     According to an example embodiment, the user device may provide a UI for saving the edited quick command. For example, the execution screen  1300  may include a first button  1331  for saving the modified quick command and a second button  1332 . If an input to the first button  1331  is received, the user device may save the modified quick command. For example, the user device may delete the third action from among actions associated with working from home. When an input to the second button  1332  is received, the user device may provide a UI (refer to  FIG.  14   ) for mapping modified actions to a new quick command. 
     If an input to an OK button  1333  is received, the user device may end display of the execution screen  1300 . In this case, the modification to the quick command may be discarded. 
       FIG.  14    illustrates a UI for saving a new quick command according to an example embodiment. 
     For example, a user device (e.g., the listener device  801  of  FIG.  8   ) may provide a save UI  1400  for saving a quick command if the input to the second button  1332  of  FIG.  13    is received. 
     The user device may be configured to, if an input to a quick command input interface  1410  is received, provide an interface (e.g., voice recording or virtual keyboard) for inputting a quick command. If a quick command is input from the user, the input quick command may be displayed on the quick command input interface  1410 . 
     If an input to a save button  1422  is received, the user device may map a first action and a second action to the newly input quick command and save the mapping. If an input to the cancel button  1421  is received, the user device may discard information on the edited quick command.