US20200236070A1 - Information processing system and information processing method - Google Patents

Information processing system and information processing method Download PDF

Info

Publication number
US20200236070A1
US20200236070A1 US16/839,060 US202016839060A US2020236070A1 US 20200236070 A1 US20200236070 A1 US 20200236070A1 US 202016839060 A US202016839060 A US 202016839060A US 2020236070 A1 US2020236070 A1 US 2020236070A1
Authority
US
United States
Prior art keywords
user
message
information processing
response
bot
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US16/839,060
Inventor
Atsushi Shionozaki
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sony Corp
Original Assignee
Sony Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sony Corp filed Critical Sony Corp
Priority to US16/839,060 priority Critical patent/US20200236070A1/en
Publication of US20200236070A1 publication Critical patent/US20200236070A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/02User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • G06F16/24575Query processing with adaptation to user needs using context
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482Interaction with lists of selectable items, e.g. menus
    • G06K9/00335
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • H04L51/16
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21Monitoring or handling of messages
    • H04L51/216Handling conversation history, e.g. grouping of messages in sessions or threads
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M11/00Telephonic communication systems specially adapted for combination with other electrical systems

Definitions

  • the present disclosure relates to an information processing system and an information processing method.
  • each user can bring a communication terminal such as a smartphone, a tablet terminal, a mobile phone terminal, or a wearable device, and can casually exchange messages to a friend, a family, or a lover via the network anywhere.
  • a communication terminal such as a smartphone, a tablet terminal, a mobile phone terminal, or a wearable device
  • Such a technology is also proposed to automatically distribute a message to a communication terminal.
  • a system is described that positional information of a mobile phone is obtained by using a global positioning system (GPS) function of the mobile phone, alarm is notified to one person out of an area, and the movement out of the area is also notified to another person other than the one person.
  • GPS global positioning system
  • Patent Literature 2 such a system is described that, with a position detecting system set to an environment, a behavior situation of a group of humans is analyzed, if there is a lost child, a robot with mutual-operation directivity arranged in the environment talks to the child and guides the child to a place of a parent, and the current position of the child is notified to the parent searching the child.
  • Patent Literature 1 JP 2007-295201A
  • Patent Literature 2 JP 2010-205015A
  • an information processing system and an information processing method are proposed to enable an automatic response to be performed with higher affinity in accordance with a mental condition of a user.
  • an information processing system including: a database that accumulates a relationship between a user for which a virtual agent is substituted and a partner user as a communication partner on a network; and a control unit that generates a message in accordance with a mental condition of the partner user and the relationship between the user and the partner user, and sends the message from the virtual agent to the partner user.
  • an information processing method including, by a processor: generating a message in accordance with a mental condition of a partner user as a communication partner on a network and a relationship between a user for which a virtual agent is substituted and the partner user, is the relationship being accumulated in a database; and sending the message from the virtual agent to the partner user.
  • FIG. 1 is a diagram explaining an outline of an information processing system according to one embodiment of the present disclosure.
  • FIG. 2 is a diagram explaining the entire configuration of the information processing system according to the present embodiment.
  • FIG. 3 is a block diagram illustrating an example of a configuration of a server according to the present embodiment.
  • FIG. 4 is a diagram illustrating an example of a bot-response setting screen that can be set for every partner user according to the present embodiment.
  • FIG. 5 is a diagram illustrating an example of details of a bot-response setting screen for every partner user according to the present embodiment.
  • FIG. 6 is a diagram illustrating an example of a chat screen of a partner user in a case where display with a bot response is not discriminated according to the present embodiment.
  • FIG. 7 is a diagram illustrating an example of the chat screen of the partner user in a case where the display of the bot response is discriminated according to the present embodiment.
  • FIG. 8 is a diagram explaining pre-check to a user with a bot response according to the present embodiment.
  • FIG. 9 is a diagram explaining an example of a menu screen displayed in a case of permitting a bot response according to the present embodiment.
  • FIG. 10 is a diagram illustrating an example of a history referring screen according to the present embodiment.
  • FIG. 11 is a diagram illustrating an example of an editing screen according to the present embodiment.
  • FIG. 12 is a flowchart illustrating first bot-response generating processing according to the present embodiment.
  • FIG. 13 is a diagram illustrating an example of a standard bot-response table according to the present embodiment.
  • FIG. 14 is a flowchart illustrating second bot-response generating processing according to the present embodiment.
  • FIG. 15 is a diagram illustrating an example of relational information stored in a relational information DB according to the present embodiment.
  • FIG. 16 is a diagram illustrating an example of a bot-response table according to the present embodiment.
  • FIG. 17 is a diagram illustrating an example of a sent message table according to the present embodiment.
  • FIG. 18 is a diagram illustrating an example of a received message table according to the present embodiment.
  • FIG. 19 is a diagram illustrating an example of a keyword table that is frequently used according to the present embodiment.
  • FIG. 20 is a flowchart illustrating bot-response presenting processing according to the present embodiment.
  • FIG. 1 is a diagram explaining an outline of an information processing system according to one embodiment of the present disclosure.
  • a user 5 A e.g., a child
  • a virtual agent 5 B agent e.g., a mother
  • the user 5 B is highly convenient also for the user B that the virtual agent 5 B agent as substitute sends a response.
  • the message from the virtual agent 5 B agent is set in consideration of a relationship between the substitute user 5 B and the user 5 A as a sending partner.
  • the message is impressive with higher affinity.
  • FIG. 2 is a diagram explaining the entire configuration of the information processing system according to the present embodiment.
  • the information processing system includes information processing devices 2 A and 2 B that respective users have and a server 1 .
  • the information processing devices 2 A and 2 B are connected to the server 1 via a network 4 to receive and send data. Further, the information processing devices 2 A and 2 B can exchange messages in real time via the network 4 under control of the server 1 (e.g., text-based conversation).
  • the information processing device 2 A can obtain, from a wearable terminal 3 attached to a user, information such as movement, vibration, pulses, pulse waves, heart beating, an amount of sweat, breathing, blood pressure, body temperature of the user, and analyze a mental condition (e.g., emotions such as anger, disguise, scare, joy, sadness, and surprise) of the user.
  • the wearable terminal 3 can be realized by, for example, a smart watch, a smart band, a smart eyeglass, a smart neck, a self-contained-type terminal, or the like. Note that the sensing of the user is not limited to that of the wearable terminal 3 and the sensing may be performed by the information processing device 2 A or a peripheral environmental sensor.
  • the information processing device 2 A As a sensor provided for the information processing device 2 A or an environmental sensor, for example, a camera, a microphone, or the like is assumed, and it is possible to capture a facial image (facial expression) of the user and record a speech of the user.
  • the information processing device 2 A senses a state of moving around at the same place on the basis of, for example, movement data of the user detected by a movement sensor, the information processing device 2 A determines a mental condition such as “undecided”, “considering”, “uneasy”, or “timid”.
  • the information processing device 2 A determines a mental condition such as “glad” or “anxious/worried” by combining the facial expression extracted from the captured image obtained by capturing the image of the face of the user and pulses sensed from a pulse sensor. Further, the information processing device 2 A can determine a mental condition such as “tired” by combining sighs, eye movement and the facial expression of the user. The information processing device 2 A can determine the mental conditions by using, for example, mechanical learning.
  • the server 1 controls to generate a message to a partner user and send the message from a virtual agent of a substitute user to the partner user in accordance with the mental condition of the partner user obtained from the information processing device 2 A and a relationship between the partner user and the substitute user (the user of the information processing device 2 B). As a consequence, it is possible to automatically send the message with high affinity corresponding to the mental condition of the partner user and the relationship with the user.
  • FIG. 3 is a block diagram illustrating an example of a configuration of the server 1 according to the present embodiment.
  • the server 1 includes a control unit 10 , a communication unit 11 , a relational information database (DB) 12 , and a bot response DB 13 .
  • DB relational information database
  • the communication unit 11 sends and receives data to/from an external device via a wired/wireless manner.
  • the communication unit 11 is connected to the information processing devices 2 A and 2 B to receive and send data.
  • the control unit 10 functions as an arithmetic processing device and a control device, and controls the whole operations in the server 1 under various types of programs.
  • the control unit 10 is realized by a central processing unit (CPU) or an electronic circuit such as a microprocessor.
  • the control unit 10 according to the present embodiment also functions as a message generating unit 101 , a presentation control unit 102 , a notification control unit 103 , and a setting unit 104 .
  • the message generating unit 101 generates a message to a partner user in accordance with the mental condition of the partner user obtained from the information processing device 2 A and the relationship between the partner user and a substitute user. Further, the message generating unit 101 can also analyze contents of a message that was exchanged from/to the partner user by the user in the past, and generate the message by using a frequently used expression or a way of speaking. Further, the message generating unit 101 can also create a response mixed to a key word used in the past exchange.
  • the message generating unit 101 mines context in the past exchange and generates a message by referring to a response of the user in a case where a partner had the same mental condition in the past, thereby enabling a uniform feeling of the response to be made or a response with a slight change to be generated.
  • the message generating unit 101 may analyze contents of the message that was exchanged between one user and another user in the past and use the contents thereof for generating a message to the partner user.
  • the contents thereof are generated on the basis of the past message between the user and the other user, thereby making the contents thereof similar to a way of speaking or an expression of the user.
  • the presentation control unit 102 controls to send the message generated by the message generating unit 101 to the partner user, set as being sent from the virtual agent of a substitute user. Specifically, the presentation control unit 102 controls to post a message on chat screens of a user and a substitute user thereof with an icon of the substitute user (or an icon of the user processed for a bot), and controls to send a message as an email from the virtual agent to the information processing device of the partner user.
  • the notification control unit 103 controls to send a notification to the substitute user before/after presenting the message generated by the message generating unit 101 to the partner user.
  • the user who receives the notification can check which message the bot as the substitute user thereof sends or thinks to send to the partner, and can edit it as necessity.
  • the setting unit 104 has a function for setting whether the bot response is possible. Specifically, the setting unit 104 sets whether or not the bot response is performed for every partner user, every mental condition, and every time slot.
  • the setting can arbitrarily be designated by, for example, the user.
  • the bot response setting will be specifically described with reference to FIGS. 4 and 5 .
  • FIG. 4 is a diagram illustrating an example of a bot-response setting screen 200 that can be set for every partner user.
  • the user can set whether or not a response with a bot (i.e., the virtual agent) substituted for the user for every partner user is performed by using the bot-response setting screen 200 illustrated in the drawing.
  • Buttons 201 and 202 or the like can set ON/OFF of the bot response.
  • the button 201 sets the bot response of the partner user 5 A to OFF and the button 202 sets the bot response of a partner user 5 C to ON. If setting the bot response to ON, the bot response can more specifically be set.
  • FIG. 5 a description will be given with reference to FIG. 5 .
  • FIG. 5 is a diagram illustrating an example of details of a bot-response setting screen 210 for every partner user.
  • the bot response can be more specifically set in a case of setting the bot response of a partner user a to ON.
  • the discrimination of display can be set and the bot response for every emotion can be set.
  • the setting of the discrimination of display means setting about whether or not display is discriminated between the response with the bot and the response of the user.
  • “discrimination of display” of the bot-response setting screen 210 is set to ON.
  • the presentation control unit 102 controls to present the message in a display form different from that in a case of presenting the message from the user (i.e., at general time).
  • the setting of the discrimination of display is not limited to the example illustrated in FIG. 5 , and further may be able to be set for each emotion.
  • the display is not discriminated.
  • the bot response to the partner user 5 C in a case of “enjoying” it may be able to set to discriminate the display.
  • a description will be given of an example of the discrimination of display with reference to FIGS. 6 and 7 .
  • FIG. 6 is a diagram illustrating an example of a chat screen of the partner user in a case where the display with the bot response is not discriminated according to the present embodiment.
  • a message 221 is input by the user 5 B
  • a message 223 is input by the bot of the user 5 B, i.e., a response that is generated by the message generating unit 101 in the server 1 and controlled for presentation by the presentation control unit 102 .
  • the display is not discriminated at all.
  • the message 223 of the bot response is generated by the message generating unit 101 in the server 1 and is controlled for presentation by the presentation control unit 102 .
  • FIG. 7 is a diagram illustrating an example of the chat screen of the partner user in a case where the display of the bot response is discriminated according to the present embodiment.
  • a chat screen 230 displays a message 234 input by the bot that is substituted for the user 5 B in a display form different from a message 231 input by the user 5 B.
  • color of a display area of the message 234 is different.
  • the discrimination of the display form of the message is not limited to this and the presentation control unit 102 may control, for example, a font or a display frame of the message to be different. Further, as illustrated in FIG.
  • the presentation control unit 102 may process an icon of the user 5 B, and display the bot response with an icon 233 that causes understanding of a speech with the bot substituted for the user 5 B.
  • the user 5 B is used as a bot (character).
  • the present embodiment is not limited to this and, for example, an image added with processing like changing color or tone of the icon of the user 5 B may be used.
  • the server 1 notifies, by the notification control unit 103 , the substitute user 5 B of contents of the message or the like, before sending the message generated by the message generating unit 101 to the partner user 5 C.
  • a specific description will be given of a case of performing the pre-check to the user 5 B with reference to FIG. 8 .
  • FIG. 8 is a diagram explaining the pre-check to the user with the bot response according to the present embodiment.
  • a chat screen 240 illustrated in FIG. 8 is displayed on the information processing device 2 (for example, the information processing device 2 B illustrated in FIG. 1 ) of the user 5 B.
  • a message 241 displayed on the chat screen 240 in FIG. 8 is input by the user 5 B, and a message 242 is input by the partner user 5 C.
  • the message 242 input by the partner user 5 C is displayed at 16 : 10 and thereafter a constant time passes, as a trigger to sense that the mental condition of the partner user 5 C is “tired” or “hungry”, the message generating unit 101 in the server 1 generates the message.
  • the server 1 notifies in advance, by the notification control unit 103 , the user 5 B of the message generated by the message generating unit 101 .
  • a message 244 illustrated in FIG. 8 is a notification message of the pre-check.
  • An icon 243 is used as a bot icon of the user 5 B.
  • the user 5 B checks contents of the bot response included in the message 244 . If it is OK, an OK button is tapped. In a case of cancelling the sending, a cancel button is tapped.
  • the server 1 pops up and displays a menu screen 251 on a screen 250 as illustrated in FIG. 9 , thereby enabling the user 5 B to select editing of the contents of the bot response or the like.
  • FIG. 9 is a diagram explaining an example of a menu screen displayed in a case of permitting the bot response.
  • the menu screen 251 includes a “send in this state” button, a “history reference” button, a “display another candidate” button, and an “edit” button.
  • the server 1 controls to present the notified bot response to the partner user.
  • the server 1 controls to display a history reference screen 252 illustrated in FIG. 10 .
  • FIG. 10 on the history referring screen 252 , “my history” and “another person's history” are displayed as bot response candidates.
  • the “my history” under the same situation in the past (for example, the partner user, the mental condition of the partner user, time slot, contents, and the like), the history of the message that my (herein, the user 5 B) bot responded is displayed. Further, in the “another person's history”, under the same situation in the past (for example, the mental condition of the partner user, time slot, contents, and the like), the history of the message that the bot of another person (herein, a user other than the user 5 B) responded is displayed. The user 5 B can edit the bot response by referring to the bot response history of the user 5 B or another person. Note that, in a case where there is no history, on the menu screen 251 illustrated in FIG. 9 , the “history reference” button is not displayed.
  • the server 1 in a case of tapping the “display another candidate” button, the server 1 generates another candidate of the bot response by the message generating unit 101 and displays the candidate.
  • the server 1 displays an editing screen 253 as illustrated in FIG. 11 .
  • text of the bot response can be edited.
  • the message generating unit 101 can also present a keyword as a candidate extracted by analyzing syntax of the exchanged past messages. As a consequence, the user can easily edit the contents of the bot response.
  • the setting of the “response time slot” means to set whether or not the bot response is performed for every emotion, depending on a time slot. For example, in an example illustrated in FIG. 5 , in a case where the partner user 5 C is at emotion time of “tired” and at emotion time of “enjoying”, it is set to perform the bot response if the time is from eight o'clock to twenty o'clock in weekday. Further, in a case of the time of another emotion (“Others” illustrated in FIG.
  • the message generating unit 101 analyzes syntax of past messages exchanged between the partner user and the user, and picks up a keyword. Basically, a message is generated by using the keywords and usual expression and way of speaking. However, in a case where “consider response of another user” is set to ON, a message is generated by further using bot response information relating to another user.
  • the message generating unit 101 generates a message by using, for example, a syntax analyzing result of the past message of another user to the partner user whose same emotion is sensed.
  • the bot response setting has been specifically described above.
  • setting matters according to the present embodiment are not limited to the examples illustrated in FIG. 5 , and can set, for example, whether or not a way of speaking of the message generated as the bot response is made similar to a way of speaking of the user, and whether or not a way of speaking of the message is made totally different from the way of speaking of the user.
  • “others” emotions illustrated in FIG. 5 are other emotions that are not exemplified as a specific example. Further, also in a case of any emotion, in a case where the emotion as the mental condition of the partner user exceeds a threshold, the emotion may be observed. As a consequence, at “normal time” when a specific emotion does not stand out, it is possible to set the emotion not to be included in any emotions illustrated in FIG. 5 including “others” and not to be a target of the bot response.
  • the above-described information relating to the setting of the bot response is stored in the relational information DB 12 with link to the user ID.
  • the relational information DB 12 in the server 1 is a database that accumulates a relationship between a user for which the bot (virtual agent) is substituted and a partner user that communicates with the user on the network. Not only a relationship between the respective users but also, for example, the past history (for example, the bot response history, the received and sent messages, “frequently used keyword” based on the analysis of the message, or the like) relating to the communication between the users is stored in the relational information DB 12 .
  • the relationship between the users may be registered in advance by the user, or may be automatically registered by the control unit 10 in the server 1 with analysis of the exchange of past messages therebetween.
  • the relationship between the users for example, a spouse, a lover, a parent relationship (parent/child), a brother, a working place (boss/subordinate), a friend (close friend/light relationship), or a senior/junior, and the like are assumed.
  • the bot response described with reference to FIG. 4 it can be set whether or not the bot response is possible for every specific partner.
  • the present embodiment is not limited to this, and it is also possible to set whether or not the bot response is possible for every “relationship” registered in the relational information DB 12 .
  • the “relationship” therebetween is also used in a case where the message generating unit 101 generates the message, and it is also possible to vary a way of speaking or an expression of the message in accordance with a relationship with the partner.
  • FIG. 12 is a flowchart illustrating first bot-response generating processing according to the present embodiment. As illustrated in FIG. 12 , first, the emotion and mental condition of the partner user are sensed by the information processing device 2 A of the partner user (step S 103 ).
  • the information processing device 2 A sends a sensing result to the server 1 (step S 106 ).
  • the control unit 10 in the server 1 determines whether or not the bot response is to be performed to the partner user (step S 109 ). Specifically, for example, the control unit 10 determines whether or not the bot response is to be performed on the basis of the sensed mental condition or time slot by referring to bot response setting information registered with the link to the user ID to which the relationship with the partner user is registered with reference to the relational information DB 12 .
  • the message generating unit 101 refers to the relational information DB 12 , and generates the bot response on the basis of the relationship between the partner user and the user and the emotion and mental condition of the partner user (step S 112 ).
  • the message generating unit 101 generates a message by using, for example, a standard bot-response table stored in the bot response DB 13 .
  • FIG. 13 illustrates an example of the standard bot-response table. As illustrated in FIG.
  • a standard bot-response table 130 stores a standard bot-response corresponding to the emotion of the partner user and the relationship with the partner user.
  • the message generating unit 101 can generate the bot response corresponding to the emotion of the partner user and the relationship between the partner user and the user in accordance with the standard bot-response table 130 .
  • FIG. 14 is a flowchart illustrating second bot-response generating processing according to the present embodiment.
  • the bot response is generated by further using various information such as the past history.
  • steps S 203 to S 209 illustrated in FIG. 14 processing similar to that in steps S 103 to S 109 illustrated in FIG. 12 is performed. Therefore, a description is omitted here.
  • the message generating unit 101 in the server 1 determines whether or not there was a response (specifically, exchange of the message) between the partner user and the user within a recent past predetermined time (step S 212 ).
  • the message generating unit 101 sets a bot-response generating flag considering contents of the response (step S 215 ).
  • the flag is not set.
  • the message generating unit 101 determines whether or not there is a communication history (specifically, exchange of the message) at the time of the same emotion and mental condition of the partner user as the current one in the past history between the partner user and the user (step S 218 ).
  • the message generating unit 101 sets the bot-response generating flag also considering the response at the time of the same emotion and mental condition in the past (step S 221 ).
  • the flag is not set.
  • the message generating unit 101 determines whether or not response contents of another user are also included (step S 224 ). Specifically, the message generating unit 101 determines on the basis of ON/OFF of “consider response of another user” in the setting information stored with link to the user ID.
  • the message generating unit 101 sets a bot-response generating flag considering a response of another user with the same relationship, the same emotion and mental condition as the current one (step S 227 ).
  • the flag is not set.
  • the message generating unit 101 generates the bot response on the basis of the set response generating flag (step S 230 ). That is, the bot response is generated by using at least any of the past history of the responses within a past predetermined time and the same emotion and mental condition and the past history of another user with the same relationship and the same emotion and mental condition. In the case, the message generating unit 101 can automatically generate the bot response with analysis of syntax on the basis of various types of information accumulated in the relational information DB 12 .
  • a description will be given of the various types of information stored in the relational information DB 12 with reference to FIGS. 15 to 19 .
  • FIG. 15 is a diagram illustrating an example of relational information stored in the relational information DB 12 according to the present embodiment.
  • the relational information 120 includes a user ID, a partner user ID, a relationship therebetween, a bot response history therebetween, a sent message history from the user to the partner user, a received message history from the partner user, and “frequently used keyword” information extracted with the analysis of syntax on the basis of the histories.
  • the data structure illustrated in FIG. 15 is an example and the present embodiment is not limited to this.
  • a description will be given of examples of each table illustrating the bot response history, the sent message history, and the received message history therebetween illustrated in FIG. 15 .
  • FIG. 16 is a diagram illustrating an example of the bot-response table. As illustrated in FIG. 16 , the contents and date and time of the past bot response to the partner user and the emotion (or the mental condition) of the partner user in the case are stored in a bot-response table 121 .
  • FIG. 17 is a diagram illustrating an example of a sent message table.
  • a sent message table 122 stores contents and date and time of the past message of the response of the user to the partner user and the emotion (or the mental condition) of the partner user in the case.
  • FIG. 18 is a diagram illustrating an example of a received message table.
  • a received message table 123 stores contents and date and time of the past message received by the user from the partner user and the emotion (or the mental condition) of the partner user in the case.
  • the message generating unit 101 can generate a new automatic response message by analyzing the syntax of the contents with reference to the sent message table 122 and the received message table 123 in consideration of a relationship of the two persons.
  • FIG. 19 is a diagram illustrating an example of a keyword table that is frequently used.
  • a frequently-used keyword table 124 stores a keyword extracted from the analyzed syntax of the received and sent messages.
  • the example illustrated in FIG. 19 is on a unit basis of word. However, a message that is frequently used (high use frequency) between the user and the partner user may be extracted for every scene and be stored.
  • syntax analyzing information used in a case of extracting a word, natural language processing information, and the like may be stored in a storing unit (not illustrated) in the server 1 .
  • FIG. 20 is a flowchart illustrating the bot-response presenting processing according to the present embodiment.
  • the presentation control unit 102 in the server 1 checks whether or not it is set to pre-check (refer to FIG. 5 ) the bot response (step S 303 ).
  • the presentation control unit 102 checks whether or not the discrimination of display of the bot response (refer to FIG. 5 ) is on (step S 312 ).
  • the presentation control unit 102 sends the generated message as a general message to the partner user (step S 315 ).
  • the presentation control unit 102 sends the generated message as a bot response to the partner user (step S 318 ).
  • the information processing device 2 A that received the message from the server 1 displays the bot response (step S 321 ).
  • the information processing device 2 A displays the bot response without discrimination from the general message (the message input by the user) in a case where the message is sent as the general message, as described with reference to FIG. 6 , and displays the bot response with discrimination from the general message (in a different display form) in a case where the message is sent as the bot response, as described with reference to FIG. 7 .
  • the notification control unit 103 in the server 1 checks whether or not the notification of the bot response is on (step S 324 ). In a case of on (step S 324 /Yes), it is controlled to send a notification that the bot response is performed to the user (step S 327 ).
  • the information processing system according to the embodiment of the present disclosure, it is possible to perform an automatic response with higher affinity in accordance with the mental condition of the user.
  • the information processing system according to the present embodiment is not limited to the text chat but can be applied to voice chat.
  • a voice chat system is assumed that text is converted into sound and the sound is reproduced.
  • synthesized sound is generated by using phoneme data of a person linked to the bot, and it can be controlled to output a bot message with the sound similar to the person.
  • present technology may also be configured as below.
  • An information processing system including:
  • a database that accumulates a relationship between a user for which a virtual agent is substituted and a partner user as a communication partner on a network
  • control unit that generates a message in accordance with a mental condition of the partner user and the relationship between the user and the partner user, and sends the message from the virtual agent to the partner user.
  • control unit sends the message to the partner user, and also sends the message to the user.
  • control unit automatically generates a message from a tendency of a message received and sent in past between the user and the partner user with the mental condition of the partner user.
  • control unit automatically generates a message from a tendency of a message received and sent from and to another user with a same relationship as the relationship between the user and the partner user.
  • control unit sets whether or not it is permitted that the user automatically sends a message from the virtual agent to the partner user in accordance with setting input via a specific user interface.
  • control unit determines whether or not permission is obtained from the user before sending a message to the partner user in accordance with setting input via a specific user interface.
  • control unit sets whether or not a message from the user or a message from the virtual agent is displayed to be capable of discrimination in accordance with setting input via a specific user interface.
  • control unit sets whether or not it is permitted that the user automatically sends a message to the partner user from the virtual agent for every mental condition of the partner user in accordance with setting input via a specific user interface.
  • control unit sets whether or not it is permitted that the user automatically sends a message to the partner user from the virtual agent depending on a time slot in accordance with setting input via a specific user interface.
  • control unit edits the generated message in response to a request of the user.
  • An information processing method including, by a processor:

Abstract

[Solution] An information processing system including: a database that accumulates a relationship between a user for which a virtual agent is substituted and a partner user as a communication partner on a network; and a control unit that generates a message in accordance with a mental condition of the partner user and the relationship between the user and the partner user, and sends the message from the virtual agent to the partner user.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application is a continuation of U.S. application Ser. No. 15/755,361, filed Feb. 26, 2018, which is a National Stage of PCT/JP2016/070207, filed Jul. 8, 2016, and claims the benefit of priority under 35 U.S.C. § 119 from Japanese Patent Application No. 2015-206443, filed Oct. 20, 2015. The entire contents of which are incorporated herein by reference.
  • TECHNICAL FIELD
  • The present disclosure relates to an information processing system and an information processing method.
  • BACKGROUND ART
  • In recent years, messages have been frequently exchanged via a network with development of a communication technology. Further, each user can bring a communication terminal such as a smartphone, a tablet terminal, a mobile phone terminal, or a wearable device, and can casually exchange messages to a friend, a family, or a lover via the network anywhere.
  • Further, such a technology is also proposed to automatically distribute a message to a communication terminal. For example, in the following Patent Literature 1, such a system is described that positional information of a mobile phone is obtained by using a global positioning system (GPS) function of the mobile phone, alarm is notified to one person out of an area, and the movement out of the area is also notified to another person other than the one person. Furthermore, in the following Patent Literature 2, such a system is described that, with a position detecting system set to an environment, a behavior situation of a group of humans is analyzed, if there is a lost child, a robot with mutual-operation directivity arranged in the environment talks to the child and guides the child to a place of a parent, and the current position of the child is notified to the parent searching the child.
  • CITATION LIST Patent Literature
  • Patent Literature 1: JP 2007-295201A
  • Patent Literature 2: JP 2010-205015A
  • DISCLOSURE OF INVENTION Technical Problem
  • However, in every Patent Literature described above, alarm is sent or a notification is sent in accordance with positional information of a user. It is not sufficient in viewpoint of performing an automatic response with high affinity corresponding to a situation of the user. For example, in a situation in which a message can casually be exchanged anywhere, if a user has anxiety, the user can be relieved to receive a message from a reliable partner.
  • Consequently, according to the present disclosure, an information processing system and an information processing method are proposed to enable an automatic response to be performed with higher affinity in accordance with a mental condition of a user.
  • Solution to Problem
  • According to the present disclosure, there is proposed an information processing system including: a database that accumulates a relationship between a user for which a virtual agent is substituted and a partner user as a communication partner on a network; and a control unit that generates a message in accordance with a mental condition of the partner user and the relationship between the user and the partner user, and sends the message from the virtual agent to the partner user.
  • According to the present disclosure, there is proposed an information processing method including, by a processor: generating a message in accordance with a mental condition of a partner user as a communication partner on a network and a relationship between a user for which a virtual agent is substituted and the partner user, is the relationship being accumulated in a database; and sending the message from the virtual agent to the partner user.
  • Advantageous Effects of Invention
  • As mentioned above, according to the present disclosure, it is possible to perform an automatic response with higher affinity in accordance with a mental condition of a user.
  • Note that the effects described above are not necessarily limitative. With or in the place of the above effects, there may be achieved any one of the effects described in this specification or other effects that may be grasped from this specification.
  • BRIEF DESCRIPTION OF DRAWINGS
  • FIG. 1 is a diagram explaining an outline of an information processing system according to one embodiment of the present disclosure.
  • FIG. 2 is a diagram explaining the entire configuration of the information processing system according to the present embodiment.
  • FIG. 3 is a block diagram illustrating an example of a configuration of a server according to the present embodiment.
  • FIG. 4 is a diagram illustrating an example of a bot-response setting screen that can be set for every partner user according to the present embodiment.
  • FIG. 5 is a diagram illustrating an example of details of a bot-response setting screen for every partner user according to the present embodiment.
  • FIG. 6 is a diagram illustrating an example of a chat screen of a partner user in a case where display with a bot response is not discriminated according to the present embodiment.
  • FIG. 7 is a diagram illustrating an example of the chat screen of the partner user in a case where the display of the bot response is discriminated according to the present embodiment.
  • FIG. 8 is a diagram explaining pre-check to a user with a bot response according to the present embodiment.
  • FIG. 9 is a diagram explaining an example of a menu screen displayed in a case of permitting a bot response according to the present embodiment.
  • FIG. 10 is a diagram illustrating an example of a history referring screen according to the present embodiment.
  • FIG. 11 is a diagram illustrating an example of an editing screen according to the present embodiment.
  • FIG. 12 is a flowchart illustrating first bot-response generating processing according to the present embodiment.
  • FIG. 13 is a diagram illustrating an example of a standard bot-response table according to the present embodiment.
  • FIG. 14 is a flowchart illustrating second bot-response generating processing according to the present embodiment.
  • FIG. 15 is a diagram illustrating an example of relational information stored in a relational information DB according to the present embodiment.
  • FIG. 16 is a diagram illustrating an example of a bot-response table according to the present embodiment.
  • FIG. 17 is a diagram illustrating an example of a sent message table according to the present embodiment.
  • FIG. 18 is a diagram illustrating an example of a received message table according to the present embodiment.
  • FIG. 19 is a diagram illustrating an example of a keyword table that is frequently used according to the present embodiment.
  • FIG. 20 is a flowchart illustrating bot-response presenting processing according to the present embodiment.
  • MODE(S) FOR CARRYING OUT THE INVENTION
  • Hereinafter, (a) preferred embodiment(s) of the present disclosure will be described in detail with reference to the appended drawings. Note that, in this specification and the appended drawings, structural elements that have substantially the same function and structure are denoted with the same reference numerals, and repeated explanation of these structural elements is omitted.
  • Further, a description will be given in the following order.
  • 1. Outline of information processing system according to one embodiment of the present disclosure
  • 2. Server configuration
  • 3. Operating processing
      • 3-1. First bot-response generating processing
      • 3-2. Second bot-response generating processing
      • 3-3. Bot-response presenting processing
  • 4. Conclusion
  • 1. OUTLINE OF INFORMATION PROCESSING SYSTEM ACCORDING TO ONE EMBODIMENT OF THE PRESENT DISCLOSURE
  • FIG. 1 is a diagram explaining an outline of an information processing system according to one embodiment of the present disclosure. As illustrated in FIG. 1, in a case of sensing a mental condition in which a user 5A (e.g., a child) has anxiety, it is possible to cause the user 5A to feel relieved under control of reaching of a message corresponding to the mental condition from a virtual agent 5Bagent as substitute for a user 5B (e.g., a mother) relating to the user 5A. In particular, in a case where the user 5B is in a busy situation and cannot promptly send a response even if a notification is sent from the user 5A or the system side, it is highly convenient also for the user B that the virtual agent 5Bagent as substitute sends a response. Further, there is an effect also on the side of the user A to feel relieved or satisfied by viewing a message corresponding to his/her own mental condition (thrilled and excited, lonely and wanting healing, timid and troubled, or the like). Further, the message from the virtual agent 5Bagent is set in consideration of a relationship between the substitute user 5B and the user 5A as a sending partner. Thus, for a partner user A who receives the message, the message is impressive with higher affinity.
  • As mentioned above, it is possible to perform an automatic response with higher affinity in accordance with the mental condition of the user with the information processing system according to the present embodiment.
  • Hereinbelow, a description will be given of a configuration of the information processing system according to the present embodiment with reference to FIG. 2. FIG. 2 is a diagram explaining the entire configuration of the information processing system according to the present embodiment.
  • As illustrated in FIG. 2, the information processing system according to the present embodiment includes information processing devices 2A and 2B that respective users have and a server 1. The information processing devices 2A and 2B are connected to the server 1 via a network 4 to receive and send data. Further, the information processing devices 2A and 2B can exchange messages in real time via the network 4 under control of the server 1 (e.g., text-based conversation).
  • The information processing device 2A can obtain, from a wearable terminal 3 attached to a user, information such as movement, vibration, pulses, pulse waves, heart beating, an amount of sweat, breathing, blood pressure, body temperature of the user, and analyze a mental condition (e.g., emotions such as anger, disguise, scare, joy, sadness, and surprise) of the user. The wearable terminal 3 can be realized by, for example, a smart watch, a smart band, a smart eyeglass, a smart neck, a self-contained-type terminal, or the like. Note that the sensing of the user is not limited to that of the wearable terminal 3 and the sensing may be performed by the information processing device 2A or a peripheral environmental sensor. As a sensor provided for the information processing device 2A or an environmental sensor, for example, a camera, a microphone, or the like is assumed, and it is possible to capture a facial image (facial expression) of the user and record a speech of the user. In a case where the information processing device 2A senses a state of moving around at the same place on the basis of, for example, movement data of the user detected by a movement sensor, the information processing device 2A determines a mental condition such as “undecided”, “considering”, “uneasy”, or “timid”. Further, the information processing device 2A determines a mental condition such as “glad” or “anxious/worried” by combining the facial expression extracted from the captured image obtained by capturing the image of the face of the user and pulses sensed from a pulse sensor. Further, the information processing device 2A can determine a mental condition such as “tired” by combining sighs, eye movement and the facial expression of the user. The information processing device 2A can determine the mental conditions by using, for example, mechanical learning.
  • The server 1 controls to generate a message to a partner user and send the message from a virtual agent of a substitute user to the partner user in accordance with the mental condition of the partner user obtained from the information processing device 2A and a relationship between the partner user and the substitute user (the user of the information processing device 2B). As a consequence, it is possible to automatically send the message with high affinity corresponding to the mental condition of the partner user and the relationship with the user.
  • The above description has been given of the outline of the information processing system according to the present embodiment. Subsequently, a specific description will be given of a configuration and operating processing of the information processing system according to the present embodiment. Note that a virtual agent that performs an automatic response is referred to as a bot according to the present embodiment, which will be described below.
  • 2. SERVER CONFIGURATION
  • FIG. 3 is a block diagram illustrating an example of a configuration of the server 1 according to the present embodiment. As illustrated in FIG. 3, the server 1 includes a control unit 10, a communication unit 11, a relational information database (DB) 12, and a bot response DB 13.
  • The communication unit 11 sends and receives data to/from an external device via a wired/wireless manner. For example, the communication unit 11 is connected to the information processing devices 2A and 2B to receive and send data.
  • The control unit 10 functions as an arithmetic processing device and a control device, and controls the whole operations in the server 1 under various types of programs. For example, the control unit 10 is realized by a central processing unit (CPU) or an electronic circuit such as a microprocessor. Further, the control unit 10 according to the present embodiment also functions as a message generating unit 101, a presentation control unit 102, a notification control unit 103, and a setting unit 104.
  • The message generating unit 101 generates a message to a partner user in accordance with the mental condition of the partner user obtained from the information processing device 2A and the relationship between the partner user and a substitute user. Further, the message generating unit 101 can also analyze contents of a message that was exchanged from/to the partner user by the user in the past, and generate the message by using a frequently used expression or a way of speaking. Further, the message generating unit 101 can also create a response mixed to a key word used in the past exchange. Furthermore, the message generating unit 101 mines context in the past exchange and generates a message by referring to a response of the user in a case where a partner had the same mental condition in the past, thereby enabling a uniform feeling of the response to be made or a response with a slight change to be generated.
  • Further, the message generating unit 101 may analyze contents of the message that was exchanged between one user and another user in the past and use the contents thereof for generating a message to the partner user. In particular, even in a case where the user did not exchange a message with the partner user in the past, the contents thereof are generated on the basis of the past message between the user and the other user, thereby making the contents thereof similar to a way of speaking or an expression of the user. Further, also in consideration of the past message to the other user, it is possible to vary the bot response to the partner user.
  • The presentation control unit 102 controls to send the message generated by the message generating unit 101 to the partner user, set as being sent from the virtual agent of a substitute user. Specifically, the presentation control unit 102 controls to post a message on chat screens of a user and a substitute user thereof with an icon of the substitute user (or an icon of the user processed for a bot), and controls to send a message as an email from the virtual agent to the information processing device of the partner user.
  • The notification control unit 103 controls to send a notification to the substitute user before/after presenting the message generated by the message generating unit 101 to the partner user. As a consequence thereof, the user who receives the notification can check which message the bot as the substitute user thereof sends or thinks to send to the partner, and can edit it as necessity.
  • The setting unit 104 has a function for setting whether the bot response is possible. Specifically, the setting unit 104 sets whether or not the bot response is performed for every partner user, every mental condition, and every time slot. The setting can arbitrarily be designated by, for example, the user. Herein, the bot response setting will be specifically described with reference to FIGS. 4 and 5.
  • FIG. 4 is a diagram illustrating an example of a bot-response setting screen 200 that can be set for every partner user. The user can set whether or not a response with a bot (i.e., the virtual agent) substituted for the user for every partner user is performed by using the bot-response setting screen 200 illustrated in the drawing. Buttons 201 and 202 or the like can set ON/OFF of the bot response. In an example illustrated in FIG. 4, the button 201 sets the bot response of the partner user 5A to OFF and the button 202 sets the bot response of a partner user 5C to ON. If setting the bot response to ON, the bot response can more specifically be set. Hereinbelow, a description will be given with reference to FIG. 5.
  • FIG. 5 is a diagram illustrating an example of details of a bot-response setting screen 210 for every partner user. In an example illustrated in the drawing, the bot response can be more specifically set in a case of setting the bot response of a partner user a to ON. On the bot-response setting screen 210, the discrimination of display can be set and the bot response for every emotion can be set.
  • The setting of the discrimination of display means setting about whether or not display is discriminated between the response with the bot and the response of the user. In the example illustrated in FIG. 5, “discrimination of display” of the bot-response setting screen 210 is set to ON. In a case where the discrimination of display is set to ON and the partner user a presents the message (i.e., bot response) generated by the message generating unit 101, the presentation control unit 102 controls to present the message in a display form different from that in a case of presenting the message from the user (i.e., at general time). Note that the setting of the discrimination of display is not limited to the example illustrated in FIG. 5, and further may be able to be set for each emotion. That is, for example, in the bot response to the partner user 5C in a case of “tired”, the display is not discriminated. In the bot response to the partner user 5C in a case of “enjoying”, it may be able to set to discriminate the display. Herein, a description will be given of an example of the discrimination of display with reference to FIGS. 6 and 7.
  • FIG. 6 is a diagram illustrating an example of a chat screen of the partner user in a case where the display with the bot response is not discriminated according to the present embodiment. In an example illustrated in the drawing, a message 221 is input by the user 5B, and a message 223 is input by the bot of the user 5B, i.e., a response that is generated by the message generating unit 101 in the server 1 and controlled for presentation by the presentation control unit 102. However, the display is not discriminated at all. In a case where a message 222 input by the user 5C is displayed at 16:10 and thereafter a constant time passes, as a trigger to sense that the mental condition of the user 5C is “tired” or “hungry”, the message 223 of the bot response is generated by the message generating unit 101 in the server 1 and is controlled for presentation by the presentation control unit 102.
  • FIG. 7 is a diagram illustrating an example of the chat screen of the partner user in a case where the display of the bot response is discriminated according to the present embodiment. In the example illustrated in the drawing, a chat screen 230 displays a message 234 input by the bot that is substituted for the user 5B in a display form different from a message 231 input by the user 5B. Specifically, color of a display area of the message 234 is different. Note that the discrimination of the display form of the message is not limited to this and the presentation control unit 102 may control, for example, a font or a display frame of the message to be different. Further, as illustrated in FIG. 7, in a case of displaying the message 234 input by the bot, the presentation control unit 102 may process an icon of the user 5B, and display the bot response with an icon 233 that causes understanding of a speech with the bot substituted for the user 5B. In the example illustrated in FIG. 7, as a processing example, the user 5B is used as a bot (character). However, the present embodiment is not limited to this and, for example, an image added with processing like changing color or tone of the icon of the user 5B may be used.
  • In the setting for each emotion, for example, as illustrated in FIG. 5, it is possible to set “pre-check”, “response time slot”, “consider response of another user” and the like for every emotion (i.e., the mental condition) of the partner user. The “pre-check” is setting about whether or not the user checks contents of the bot response to the partner user before presenting the contents to the partner user. In the example illustrated in FIG. 5, the bot response at emotion time of “tired” and another emotion time of the partner user 5C is set to ON in the pre-check. Therefore, the server 1 notifies, by the notification control unit 103, the substitute user 5B of contents of the message or the like, before sending the message generated by the message generating unit 101 to the partner user 5C. A specific description will be given of a case of performing the pre-check to the user 5B with reference to FIG. 8.
  • FIG. 8 is a diagram explaining the pre-check to the user with the bot response according to the present embodiment. A chat screen 240 illustrated in FIG. 8 is displayed on the information processing device 2 (for example, the information processing device 2B illustrated in FIG. 1) of the user 5B. A message 241 displayed on the chat screen 240 in FIG. 8 is input by the user 5B, and a message 242 is input by the partner user 5C. Subsequently, in a case where the message 242 input by the partner user 5C is displayed at 16:10 and thereafter a constant time passes, as a trigger to sense that the mental condition of the partner user 5C is “tired” or “hungry”, the message generating unit 101 in the server 1 generates the message. Herein, in a case of setting the “pre-check” to ON, the server 1 notifies in advance, by the notification control unit 103, the user 5B of the message generated by the message generating unit 101. A message 244 illustrated in FIG. 8 is a notification message of the pre-check. An icon 243 is used as a bot icon of the user 5B. The user 5B checks contents of the bot response included in the message 244. If it is OK, an OK button is tapped. In a case of cancelling the sending, a cancel button is tapped. Herein, in a case of tapping the OK button, the server 1 pops up and displays a menu screen 251 on a screen 250 as illustrated in FIG. 9, thereby enabling the user 5B to select editing of the contents of the bot response or the like.
  • FIG. 9 is a diagram explaining an example of a menu screen displayed in a case of permitting the bot response. As illustrated in FIG. 9, the menu screen 251 includes a “send in this state” button, a “history reference” button, a “display another candidate” button, and an “edit” button. In a case where the “send in this state” button is tapped, the server 1 controls to present the notified bot response to the partner user. In a case where the “history reference” button is tapped, the server 1 controls to display a history reference screen 252 illustrated in FIG. 10. As illustrated in FIG. 10, on the history referring screen 252, “my history” and “another person's history” are displayed as bot response candidates. In the “my history”, under the same situation in the past (for example, the partner user, the mental condition of the partner user, time slot, contents, and the like), the history of the message that my (herein, the user 5B) bot responded is displayed. Further, in the “another person's history”, under the same situation in the past (for example, the mental condition of the partner user, time slot, contents, and the like), the history of the message that the bot of another person (herein, a user other than the user 5B) responded is displayed. The user 5B can edit the bot response by referring to the bot response history of the user 5B or another person. Note that, in a case where there is no history, on the menu screen 251 illustrated in FIG. 9, the “history reference” button is not displayed.
  • Further, in the menu screen 251 in FIG. 9, in a case of tapping the “display another candidate” button, the server 1 generates another candidate of the bot response by the message generating unit 101 and displays the candidate.
  • In a case of tapping the “edit” button, the server 1 displays an editing screen 253 as illustrated in FIG. 11. As illustrated in FIG. 11, on the editing screen 253, text of the bot response can be edited. Further, on the editing screen 253, the message generating unit 101 can also present a keyword as a candidate extracted by analyzing syntax of the exchanged past messages. As a consequence, the user can easily edit the contents of the bot response.
  • Next, returning to FIG. 5, a description will be given of setting a “response time slot” for every emotion illustrated in the bot-response setting screen 210. The setting of the “response time slot” means to set whether or not the bot response is performed for every emotion, depending on a time slot. For example, in an example illustrated in FIG. 5, in a case where the partner user 5C is at emotion time of “tired” and at emotion time of “enjoying”, it is set to perform the bot response if the time is from eight o'clock to twenty o'clock in weekday. Further, in a case of the time of another emotion (“Others” illustrated in FIG. 5) that is not listed as a specific emotion, it is set to perform a bot response at any time in weekday, weekend, and holidays. Note that, for example, a setting method that sets to enable a bot response until after eight hours because of work from now on is also possible as well as designation of the time slot.
  • Subsequently, a description will be given of setting “consider response of another user” for every emotion illustrated in the bot-response setting screen 210. The message generating unit 101 according to the present embodiment analyzes syntax of past messages exchanged between the partner user and the user, and picks up a keyword. Basically, a message is generated by using the keywords and usual expression and way of speaking. However, in a case where “consider response of another user” is set to ON, a message is generated by further using bot response information relating to another user.
  • In the example illustrated in FIG. 5, “consider response of another user” is all set to OFF. However, in a case of setting “consider response of another user” to ON, the message generating unit 101 generates a message by using, for example, a syntax analyzing result of the past message of another user to the partner user whose same emotion is sensed.
  • The bot response setting has been specifically described above. However, setting matters according to the present embodiment are not limited to the examples illustrated in FIG. 5, and can set, for example, whether or not a way of speaking of the message generated as the bot response is made similar to a way of speaking of the user, and whether or not a way of speaking of the message is made totally different from the way of speaking of the user.
  • Further, “others” emotions illustrated in FIG. 5 are other emotions that are not exemplified as a specific example. Further, also in a case of any emotion, in a case where the emotion as the mental condition of the partner user exceeds a threshold, the emotion may be observed. As a consequence, at “normal time” when a specific emotion does not stand out, it is possible to set the emotion not to be included in any emotions illustrated in FIG. 5 including “others” and not to be a target of the bot response.
  • The above-described information relating to the setting of the bot response is stored in the relational information DB 12 with link to the user ID.
  • Subsequently, returning to FIG. 3, the relational information DB 12 in the server 1 is a database that accumulates a relationship between a user for which the bot (virtual agent) is substituted and a partner user that communicates with the user on the network. Not only a relationship between the respective users but also, for example, the past history (for example, the bot response history, the received and sent messages, “frequently used keyword” based on the analysis of the message, or the like) relating to the communication between the users is stored in the relational information DB 12. The relationship between the users may be registered in advance by the user, or may be automatically registered by the control unit 10 in the server 1 with analysis of the exchange of past messages therebetween. As the relationship between the users, for example, a spouse, a lover, a parent relationship (parent/child), a brother, a working place (boss/subordinate), a friend (close friend/light relationship), or a senior/junior, and the like are assumed. Note that in the setting of the bot response described with reference to FIG. 4, it can be set whether or not the bot response is possible for every specific partner. However, the present embodiment is not limited to this, and it is also possible to set whether or not the bot response is possible for every “relationship” registered in the relational information DB 12. Further, the “relationship” therebetween is also used in a case where the message generating unit 101 generates the message, and it is also possible to vary a way of speaking or an expression of the message in accordance with a relationship with the partner.
  • 3. OPERATING PROCESSING
  • Subsequently, a description will be given of operating processing of the information processing system according to the present embodiment.
  • <3-1. First Bot-Response Generating Processing>
  • FIG. 12 is a flowchart illustrating first bot-response generating processing according to the present embodiment. As illustrated in FIG. 12, first, the emotion and mental condition of the partner user are sensed by the information processing device 2A of the partner user (step S103).
  • Next, the information processing device 2A sends a sensing result to the server 1 (step S106).
  • Subsequently, the control unit 10 in the server 1 determines whether or not the bot response is to be performed to the partner user (step S109). Specifically, for example, the control unit 10 determines whether or not the bot response is to be performed on the basis of the sensed mental condition or time slot by referring to bot response setting information registered with the link to the user ID to which the relationship with the partner user is registered with reference to the relational information DB 12.
  • Subsequently, in a case where it is determined that the bot response is to be performed (step S109/Yes), the message generating unit 101 refers to the relational information DB 12, and generates the bot response on the basis of the relationship between the partner user and the user and the emotion and mental condition of the partner user (step S112). The message generating unit 101 generates a message by using, for example, a standard bot-response table stored in the bot response DB 13. Herein, FIG. 13 illustrates an example of the standard bot-response table. As illustrated in FIG. 13, a standard bot-response table 130 stores a standard bot-response corresponding to the emotion of the partner user and the relationship with the partner user. The message generating unit 101 can generate the bot response corresponding to the emotion of the partner user and the relationship between the partner user and the user in accordance with the standard bot-response table 130.
  • <3-2. Second Bot-Response Generating Processing>
  • FIG. 14 is a flowchart illustrating second bot-response generating processing according to the present embodiment. In the second bot-response generating processing, the bot response is generated by further using various information such as the past history.
  • First, in steps S203 to S209 illustrated in FIG. 14, processing similar to that in steps S103 to S109 illustrated in FIG. 12 is performed. Therefore, a description is omitted here.
  • Next, in a case where it is determined that the bot response is to be performed (step S212/Yes), the message generating unit 101 in the server 1 determines whether or not there was a response (specifically, exchange of the message) between the partner user and the user within a recent past predetermined time (step S212).
  • Subsequently, in a case where there was the response within the past predetermined time (step S212/Yes), the message generating unit 101 sets a bot-response generating flag considering contents of the response (step S215). On the other hand, in a case where there is no response (step S212/No), the flag is not set.
  • Next, the message generating unit 101 determines whether or not there is a communication history (specifically, exchange of the message) at the time of the same emotion and mental condition of the partner user as the current one in the past history between the partner user and the user (step S218).
  • Subsequently, in a case where there was the past history at the time of the same emotion and mental condition (step S218/Yes), the message generating unit 101 sets the bot-response generating flag also considering the response at the time of the same emotion and mental condition in the past (step S221). On the other hand, in a case where there is no past history (step S218/No), the flag is not set.
  • Next, the message generating unit 101 determines whether or not response contents of another user are also included (step S224). Specifically, the message generating unit 101 determines on the basis of ON/OFF of “consider response of another user” in the setting information stored with link to the user ID.
  • Subsequently, in a case where the response contents of another user are also included (step S224/Yes), the message generating unit 101 sets a bot-response generating flag considering a response of another user with the same relationship, the same emotion and mental condition as the current one (step S227). On the other hand, in the case where the response contents of another user are not included (step S224/No), the flag is not set.
  • Subsequently, the message generating unit 101 generates the bot response on the basis of the set response generating flag (step S230). That is, the bot response is generated by using at least any of the past history of the responses within a past predetermined time and the same emotion and mental condition and the past history of another user with the same relationship and the same emotion and mental condition. In the case, the message generating unit 101 can automatically generate the bot response with analysis of syntax on the basis of various types of information accumulated in the relational information DB 12. Herein, a description will be given of the various types of information stored in the relational information DB 12 with reference to FIGS. 15 to 19.
  • FIG. 15 is a diagram illustrating an example of relational information stored in the relational information DB 12 according to the present embodiment. As illustrated in FIG. 15, the relational information 120 includes a user ID, a partner user ID, a relationship therebetween, a bot response history therebetween, a sent message history from the user to the partner user, a received message history from the partner user, and “frequently used keyword” information extracted with the analysis of syntax on the basis of the histories. Note that the data structure illustrated in FIG. 15 is an example and the present embodiment is not limited to this. Hereinbelow, a description will be given of examples of each table illustrating the bot response history, the sent message history, and the received message history therebetween illustrated in FIG. 15.
  • FIG. 16 is a diagram illustrating an example of the bot-response table. As illustrated in FIG. 16, the contents and date and time of the past bot response to the partner user and the emotion (or the mental condition) of the partner user in the case are stored in a bot-response table 121.
  • FIG. 17 is a diagram illustrating an example of a sent message table. As illustrated in FIG. 17, a sent message table 122 stores contents and date and time of the past message of the response of the user to the partner user and the emotion (or the mental condition) of the partner user in the case.
  • FIG. 18 is a diagram illustrating an example of a received message table. As illustrated in FIG. 18, a received message table 123 stores contents and date and time of the past message received by the user from the partner user and the emotion (or the mental condition) of the partner user in the case.
  • The message generating unit 101 can generate a new automatic response message by analyzing the syntax of the contents with reference to the sent message table 122 and the received message table 123 in consideration of a relationship of the two persons.
  • FIG. 19 is a diagram illustrating an example of a keyword table that is frequently used. As illustrated in FIG. 19, a frequently-used keyword table 124 stores a keyword extracted from the analyzed syntax of the received and sent messages. The example illustrated in FIG. 19 is on a unit basis of word. However, a message that is frequently used (high use frequency) between the user and the partner user may be extracted for every scene and be stored. Note that syntax analyzing information used in a case of extracting a word, natural language processing information, and the like may be stored in a storing unit (not illustrated) in the server 1.
  • <3-3. Bot-Response Presenting Processing>
  • Subsequently, a description will be given of processing in a case of presenting the message in the bot response generated by the first bot-response generating processing or the second bot-response generating processing to the partner user with reference to FIG. 20. FIG. 20 is a flowchart illustrating the bot-response presenting processing according to the present embodiment.
  • As illustrated in FIG. 20, first, the presentation control unit 102 in the server 1 checks whether or not it is set to pre-check (refer to FIG. 5) the bot response (step S303).
  • Next, in a case where it is set to pre-check the bot response (step S303/Yes), the presentation control unit 102 inquires of the user whether or not the bot response is possible (step S306). It is inquired of the user as mentioned above with reference to FIG. 8.
  • Subsequently, in a case where the bot response is permitted (step S309/Yes), the presentation control unit 102 checks whether or not the discrimination of display of the bot response (refer to FIG. 5) is on (step S312).
  • Next, in a case where the discrimination of display of the bot response is not on (step S312/No), the presentation control unit 102 sends the generated message as a general message to the partner user (step S315).
  • On the other hand, in a case where the discrimination of display of the bot response is on (step S312/Yes), the presentation control unit 102 sends the generated message as a bot response to the partner user (step S318).
  • Subsequently, the information processing device 2A that received the message from the server 1 displays the bot response (step S321). In the case, the information processing device 2A displays the bot response without discrimination from the general message (the message input by the user) in a case where the message is sent as the general message, as described with reference to FIG. 6, and displays the bot response with discrimination from the general message (in a different display form) in a case where the message is sent as the bot response, as described with reference to FIG. 7.
  • Next, the notification control unit 103 in the server 1 checks whether or not the notification of the bot response is on (step S324). In a case of on (step S324/Yes), it is controlled to send a notification that the bot response is performed to the user (step S327).
  • 4. CONCLUSION
  • As mentioned above, the information processing system according to the embodiment of the present disclosure, it is possible to perform an automatic response with higher affinity in accordance with the mental condition of the user.
  • The preferred embodiment(s) of the present disclosure has/have been described above with reference to the accompanying drawings, whilst the present disclosure is not limited to the above examples. A person skilled in the art may find various alterations and modifications within the scope of the appended claims, and it should be understood that they will naturally come under the technical scope of the present disclosure.
  • For example, it is possible to produce a computer program to cause hardware such as a CPU, a ROM, and a RAM included in the above-mentioned server 1 to exhibit the functions of the server 1. Further, a computer-readable storage medium that stores the computer program is also provided.
  • Further, the information processing system according to the present embodiment is not limited to the text chat but can be applied to voice chat. For example, such a voice chat system is assumed that text is converted into sound and the sound is reproduced. Furthermore, in a case of applying the information processing system to the voice chat system, in a case where the message generating unit 101 generates a message of a bot response in the server 1, synthesized sound is generated by using phoneme data of a person linked to the bot, and it can be controlled to output a bot message with the sound similar to the person.
  • Further, the effects described in this specification are merely illustrative or exemplified effects, and are not limitative. That is, with or in the place of the above effects, the technology according to the present disclosure may achieve other effects that are clear to those skilled in the art from the description of this specification.
  • Additionally, the present technology may also be configured as below.
  • (1)
  • An information processing system including:
  • a database that accumulates a relationship between a user for which a virtual agent is substituted and a partner user as a communication partner on a network; and
  • a control unit that generates a message in accordance with a mental condition of the partner user and the relationship between the user and the partner user, and sends the message from the virtual agent to the partner user.
  • (2)
  • The information processing system according to (1), in which the control unit sends the message to the partner user, and also sends the message to the user.
  • (3)
  • The information processing system according to (1) or (2), in which the control unit automatically generates a message from a tendency of a message received and sent in past between the user and the partner user with the mental condition of the partner user.
  • (4)
  • The information processing system according to (1) or (2), in which the control unit automatically generates a message from a tendency of a message received and sent from and to another user with a same relationship as the relationship between the user and the partner user.
  • (5)
  • The information processing system according to any one of (1) to (4), in which
  • the control unit sets whether or not it is permitted that the user automatically sends a message from the virtual agent to the partner user in accordance with setting input via a specific user interface.
  • (6)
  • The information processing system according to any one of (1) to (5), in which
  • the control unit determines whether or not permission is obtained from the user before sending a message to the partner user in accordance with setting input via a specific user interface.
  • (7)
  • The information processing system according to any one of (1) to (6), in which
  • the control unit sets whether or not a message from the user or a message from the virtual agent is displayed to be capable of discrimination in accordance with setting input via a specific user interface.
  • (8)
  • The information processing system according to any one of (1) to (7), in which
  • the control unit sets whether or not it is permitted that the user automatically sends a message to the partner user from the virtual agent for every mental condition of the partner user in accordance with setting input via a specific user interface.
  • (9)
  • The information processing system according to any one of (1) to (8), in which
  • the control unit sets whether or not it is permitted that the user automatically sends a message to the partner user from the virtual agent depending on a time slot in accordance with setting input via a specific user interface.
  • (10)
  • The information processing system according to any one of (1) to (9), in which
  • the control unit edits the generated message in response to a request of the user.
  • (11)
  • An information processing method including, by a processor:
  • generating a message in accordance with a mental condition of a partner user as a communication partner on a network and a relationship between a user for which a virtual agent is substituted and the partner user, is the relationship being accumulated in a database; and
  • sending the message from the virtual agent to the partner user.
  • REFERENCE SIGNS LIST
    • 1 server
    • 10 control unit
    • 101 message generating unit
    • 102 presentation control unit
    • 103 notification control unit
    • 104 setting unit
    • 11 communication unit
    • 12 relational information DB
    • 13 bot response DB
    • 2 information processing device
    • 3 wearable terminal
    • 4 network

Claims (20)

1. An information processing system comprising:
circuitry configured to:
detect an emotion or a mental condition of a first user;
automatically generate a message based on messages previously sent and received between a second user and the first user having the emotion or the mental condition; and
send the message from a virtual agent serving as a substitute user of the second user to the first user.
2. The information processing system according to claim 1, wherein the circuitry is configured to:
automatically generate the message based on a relationship, and the messages previously sent and received, between the first user and the second user.
3. The information processing system according to claim 1, wherein the circuitry is configured to:
automatically generate the message based on messages previously sent and received between the second user and a third user having a same relationship as a relationship between the first user and the second user.
4. The information processing system according to claim 1, wherein the circuitry is configured to:
send the message from the virtual agent to the first user and the second user.
5. The information processing system according to claim 1, wherein the circuitry is configured to:
determine whether to automatically send the message from the virtual agent to the first user in accordance with a setting input via a user interface.
6. The information processing system according to claim 1, wherein the circuitry is configured to:
determine whether to obtain permission from the second user before sending the message to the first user in accordance with a setting input via a user interface.
7. The information processing system according to claim 1, wherein the message sent from the virtual agent is displayed differently from a message sent from the second user.
8. The information processing system according to claim 1, wherein the circuitry is configured to:
determine whether to automatically send the message to the first user from the virtual agent in accordance with a setting associated with the detected mental condition that is input via a user interface.
9. The information processing system according to claim 1, wherein the circuitry is configured to:
determine whether to automatically send the message to the first user from the virtual agent based on a time slot in accordance with a setting input via a user interface.
10. The information processing system according to claim 1, wherein the circuitry is configured to:
edit the automatically generated message in response to a request of the second user.
11. An information processing method comprising:
detecting an emotion or a mental condition of a first user;
automatically generating, by circuitry of an information processing system, a message based on messages previously sent and received between a second user and the first user having the emotion or the mental condition; and
sending, by the circuitry, the message from a virtual agent serving as a substitute user of the second user to the first user.
12. The information processing method according to claim 11, wherein the automatically generating comprises:
automatically generating the message based on a relationship, and the messages previously sent and received, between the first user and the second user.
13. The information processing method according to claim 11, wherein the automatically generating comprises:
automatically generating the message based on messages previously sent and received between the second user and a third user having a same relationship as a relationship between the first user and the second user.
14. The information processing method according to claim 11, further comprising:
sending the message from the virtual agent to the first user and the second user.
15. The information processing method according to claim 11, further comprising:
determining whether to automatically send the message from the virtual agent to the first user in accordance with a setting input via a user interface.
16. The information processing method according to claim 11, further comprising:
determining whether to obtain permission from the second user before sending the message to the first user in accordance with a setting input via a user interface.
17. The information processing method according to claim 11, wherein the message sent from the virtual agent is displayed differently from a message sent from the second user.
18. The information processing method according to claim 11, further comprising:
determining whether to automatically send the message to the first user from the virtual agent in accordance with a setting associated with the detected mental condition that is input via a user interface.
19. The information processing method according to claim 11, further comprising:
determining whether to automatically send the message to the first user from the virtual agent based on a time slot in accordance with a setting input via a user interface.
20. A non-transitory computer-readable storage medium storing instructions which when executed by a processor, cause the processor to perform a method comprising:
detecting an emotion or a mental condition of a first user;
automatically generating a message based on messages previously sent and received between a second user and the first user having the emotion or the mental condition; and
sending the message from a virtual agent serving as a substitute user of the second user to the first user.
US16/839,060 2015-10-20 2020-04-02 Information processing system and information processing method Abandoned US20200236070A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US16/839,060 US20200236070A1 (en) 2015-10-20 2020-04-02 Information processing system and information processing method

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
JP2015-206443 2015-10-20
JP2015206443 2015-10-20
PCT/JP2016/070207 WO2017068816A1 (en) 2015-10-20 2016-07-08 Information processing system and information processing method
US201815755361A 2018-02-26 2018-02-26
US16/839,060 US20200236070A1 (en) 2015-10-20 2020-04-02 Information processing system and information processing method

Related Parent Applications (2)

Application Number Title Priority Date Filing Date
PCT/JP2016/070207 Continuation WO2017068816A1 (en) 2015-10-20 2016-07-08 Information processing system and information processing method
US15/755,361 Continuation US10673788B2 (en) 2015-10-20 2016-07-08 Information processing system and information processing method

Publications (1)

Publication Number Publication Date
US20200236070A1 true US20200236070A1 (en) 2020-07-23

Family

ID=58556912

Family Applications (2)

Application Number Title Priority Date Filing Date
US15/755,361 Active 2036-12-19 US10673788B2 (en) 2015-10-20 2016-07-08 Information processing system and information processing method
US16/839,060 Abandoned US20200236070A1 (en) 2015-10-20 2020-04-02 Information processing system and information processing method

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US15/755,361 Active 2036-12-19 US10673788B2 (en) 2015-10-20 2016-07-08 Information processing system and information processing method

Country Status (5)

Country Link
US (2) US10673788B2 (en)
EP (1) EP3367249A4 (en)
KR (1) KR20180068975A (en)
CN (2) CN113612677A (en)
WO (1) WO2017068816A1 (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6946888B2 (en) * 2017-09-21 2021-10-13 大日本印刷株式会社 Computer program, server device, instruction system and instruction method
WO2019116489A1 (en) * 2017-12-14 2019-06-20 Line株式会社 Program, information processing method, and information processing device
WO2019172087A1 (en) * 2018-03-08 2019-09-12 ソニー株式会社 Information processing apparatus, terminal device, information processing method, and program
JP7258013B2 (en) * 2018-03-27 2023-04-14 株式会社Nttドコモ response system
US20190385711A1 (en) 2018-06-19 2019-12-19 Ellipsis Health, Inc. Systems and methods for mental health assessment
EP3811245A4 (en) 2018-06-19 2022-03-09 Ellipsis Health, Inc. Systems and methods for mental health assessment
KR20200066933A (en) * 2018-12-03 2020-06-11 삼성전자주식회사 Electronic device and Method of controlling thereof
WO2022000256A1 (en) * 2020-06-30 2022-01-06 Ringcentral, Inc. Methods and systems for directing communications
CN113676394B (en) * 2021-08-19 2023-04-07 维沃移动通信(杭州)有限公司 Information processing method and information processing apparatus

Family Cites Families (39)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5918222A (en) * 1995-03-17 1999-06-29 Kabushiki Kaisha Toshiba Information disclosing apparatus and multi-modal information input/output system
US6427063B1 (en) * 1997-05-22 2002-07-30 Finali Corporation Agent based instruction system and method
US5727950A (en) * 1996-05-22 1998-03-17 Netsage Corporation Agent based instruction system and method
US6339774B1 (en) * 1997-01-29 2002-01-15 Kabushiki Kaisha Toshiba Information sharing system and computer program product for causing computer to support the information sharing system
JP3224999B2 (en) * 1997-01-31 2001-11-05 株式会社東芝 Information sharing support system
US6615091B1 (en) * 1998-06-26 2003-09-02 Eveready Battery Company, Inc. Control system and method therefor
US7353295B1 (en) * 2000-04-04 2008-04-01 Motive, Inc. Distributed services architecture through use of a dynamic service point map
US20030158960A1 (en) * 2000-05-22 2003-08-21 Engberg Stephan J. System and method for establishing a privacy communication path
MXPA03011976A (en) * 2001-06-22 2005-07-01 Nervana Inc System and method for knowledge retrieval, management, delivery and presentation.
JP2005348167A (en) * 2004-06-03 2005-12-15 Vodafone Kk Mobile communication terminal
US7590589B2 (en) * 2004-09-10 2009-09-15 Hoffberg Steven M Game theoretic prioritization scheme for mobile ad hoc networks permitting hierarchal deference
WO2007046844A2 (en) * 2005-03-01 2007-04-26 Advanced Warning Systems, Inc. System and method for visual representation of a catastrophic event and coordination of response
WO2007052285A2 (en) * 2005-07-22 2007-05-10 Yogesh Chunilal Rathod Universal knowledge management and desktop search system
US8874477B2 (en) * 2005-10-04 2014-10-28 Steven Mark Hoffberg Multifactorial optimization system and method
US8151323B2 (en) * 2006-04-12 2012-04-03 Citrix Systems, Inc. Systems and methods for providing levels of access and action control via an SSL VPN appliance
JP4710705B2 (en) 2006-04-24 2011-06-29 日本電気株式会社 Portable wireless terminal system and portable wireless terminal
CN101075435B (en) * 2007-04-19 2011-05-18 深圳先进技术研究院 Intelligent chatting system and its realizing method
US7835997B2 (en) 2007-04-23 2010-11-16 Sudhir Rajkhowa System for therapy
JP5418938B2 (en) 2009-03-04 2014-02-19 株式会社国際電気通信基礎技術研究所 Group behavior estimation apparatus and service providing system
US20180143989A1 (en) * 2016-11-18 2018-05-24 Jagadeshwar Nomula System to assist users of a software application
JP2013061889A (en) * 2011-09-14 2013-04-04 Namco Bandai Games Inc Program, information storage medium, terminal device, and server
US8762468B2 (en) * 2011-11-30 2014-06-24 At&T Mobility Ii, Llc Method and apparatus for managing communication exchanges
EP2624180A1 (en) * 2012-02-06 2013-08-07 Xabier Uribe-Etxebarria Jimenez System of integrating remote third party services
US20140310379A1 (en) * 2013-04-15 2014-10-16 Flextronics Ap, Llc Vehicle initiated communications with third parties via virtual personality
US9425974B2 (en) * 2012-08-15 2016-08-23 Imvu, Inc. System and method for increasing clarity and expressiveness in network communications
EP2912567A4 (en) * 2012-12-11 2016-05-18 Nuance Communications Inc System and methods for virtual agent recommendation for multiple persons
US9679300B2 (en) * 2012-12-11 2017-06-13 Nuance Communications, Inc. Systems and methods for virtual agent recommendation for multiple persons
US9721086B2 (en) * 2013-03-15 2017-08-01 Advanced Elemental Technologies, Inc. Methods and systems for secure and reliable identity-based computing
US9288274B2 (en) * 2013-08-26 2016-03-15 Cellco Partnership Determining a community emotional response
CN103400054A (en) * 2013-08-27 2013-11-20 哈尔滨工业大学 Computer-assisted psychological consulting automatic question-answering robot system
JP2015069455A (en) * 2013-09-30 2015-04-13 Necソリューションイノベータ株式会社 Conversation sentence generation device, conversation sentence generation method, and program
CN104639420B (en) * 2013-11-15 2019-06-07 腾讯科技(深圳)有限公司 The information processing method and system of instant messaging
US10050926B2 (en) * 2014-02-05 2018-08-14 Facebook, Inc. Ideograms based on sentiment analysis
CN104951428B (en) * 2014-03-26 2019-04-16 阿里巴巴集团控股有限公司 User's intension recognizing method and device
CN104412258A (en) * 2014-05-22 2015-03-11 华为技术有限公司 Method and device utilizing text information to communicate
CN104022942B (en) * 2014-06-26 2018-09-11 北京奇虎科技有限公司 Handle method, client, electronic equipment and the system of interactive message
US20170046496A1 (en) * 2015-08-10 2017-02-16 Social Health Innovations, Inc. Methods for tracking and responding to mental health changes in a user
US10532268B2 (en) * 2016-05-02 2020-01-14 Bao Tran Smart device
WO2019161200A1 (en) * 2018-02-15 2019-08-22 DMAI, Inc. System and method for conversational agent via adaptive caching of dialogue tree

Also Published As

Publication number Publication date
EP3367249A4 (en) 2018-12-05
KR20180068975A (en) 2018-06-22
WO2017068816A1 (en) 2017-04-27
CN108139988A (en) 2018-06-08
US20180248819A1 (en) 2018-08-30
CN108139988B (en) 2021-07-30
US10673788B2 (en) 2020-06-02
CN113612677A (en) 2021-11-05
EP3367249A1 (en) 2018-08-29

Similar Documents

Publication Publication Date Title
US20200236070A1 (en) Information processing system and information processing method
US11638103B2 (en) Identifying information and associated individuals
EP3616050B1 (en) Apparatus and method for voice command context
US10178291B2 (en) Obtaining information from an environment of a user of a wearable camera system
US10971188B2 (en) Apparatus and method for editing content
KR102002979B1 (en) Leveraging head mounted displays to enable person-to-person interactions
EP3335190B1 (en) Device and method for providing user-customized content
US10498673B2 (en) Device and method for providing user-customized content
US11205426B2 (en) Information processing device, information processing method, and program
US20200293526A1 (en) Information processing system, information processing method, and storage medium
CN107408238B (en) Automatic capture of information from audio data and computer operational context
KR102508677B1 (en) System for processing user utterance and controlling method thereof
US20220224735A1 (en) Information processing apparatus, non-transitory computer readable medium storing program, and method
JP6432177B2 (en) Interactive communication system, terminal device and program
KR20190118813A (en) System for processing user utterance and controlling method thereof
US20150195378A1 (en) Information processing apparatus, server, information processing method, and information processing system
KR20190009201A (en) Mobile terminal and method for controlling the same
WO2017179262A1 (en) Information processing device, information processing method, and program
CN110750198A (en) Expression sending method and mobile terminal
US20200043487A1 (en) Information processing device, information processing method and program recording medium
KR20190009202A (en) Mobile terminal and method for controlling the same
JP2017059079A (en) Information delivery device and information delivery program
WO2023058393A1 (en) Information processing device, information processing method, and program
WO2023058451A1 (en) Information processing device, information processing method, and program
WO2023119527A1 (en) Mobile information terminal and information processing method

Legal Events

Date Code Title Description
STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE AFTER FINAL ACTION FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE AFTER FINAL ACTION FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION