WO2017068817A1 - 情報処理システム、および情報処理方法 - Google Patents
情報処理システム、および情報処理方法 Download PDFInfo
- Publication number
- WO2017068817A1 WO2017068817A1 PCT/JP2016/070208 JP2016070208W WO2017068817A1 WO 2017068817 A1 WO2017068817 A1 WO 2017068817A1 JP 2016070208 W JP2016070208 W JP 2016070208W WO 2017068817 A1 WO2017068817 A1 WO 2017068817A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- message
- bot
- information processing
- virtual agent
- profile
- Prior art date
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 61
- 238000003672 processing method Methods 0.000 title claims abstract description 7
- 238000004891 communication Methods 0.000 claims abstract description 40
- 238000004458 analytical method Methods 0.000 claims abstract description 31
- 230000004044 response Effects 0.000 claims abstract description 16
- 230000000694 effects Effects 0.000 claims description 28
- 238000012545 processing Methods 0.000 description 37
- 238000000034 method Methods 0.000 description 24
- 230000008569 process Effects 0.000 description 22
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 230000000877 morphologic effect Effects 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000001151 other effect Effects 0.000 description 2
- 125000002066 L-histidyl group Chemical group [H]N1C([H])=NC(C([H])([H])[C@](C(=O)[*])([H])N([H])[H])=C1[H] 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/50—Business processes related to the communications industry
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
- G06F16/9566—URL specific, e.g. using aliases, detecting broken or misspelled links
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/02—User-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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
- H04L51/046—Interoperability with other network applications or services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
Definitions
- This disclosure relates to an information processing system and an information processing method.
- Patent Document 1 discloses a system that prepares a pseudo user (pseudo client) to be a conversation partner of a user when no one is in the chat room and automatically speaks to establish a conversation. Has been.
- the present disclosure proposes an information processing system and an information processing method capable of exciting a conversation by a response by a virtual agent having an appropriate personality according to the communication status between users.
- a virtual agent profile database that accumulates profiles of a plurality of virtual agents that can communicate on a network, and one virtual agent from the plurality of virtual agents according to the analysis result of communication between real users.
- Proposing an information processing system comprising: a control unit that selects and generates a message according to the analysis result and the profile of the one virtual agent, and posts the generated message in a communication session between the real users To do.
- the processor selects one virtual agent from a plurality of virtual agents that can communicate on the network according to an analysis result of communication between real users, the analysis result, and a virtual agent profile. Proposing an information processing method including generating a message according to a profile of the one virtual agent stored in a database and posting the generated message in a communication session between the real users .
- ⁇ 1. Overview of Information Processing System According to One Embodiment of Present Disclosure it is possible to increase the conversation with the virtual agent by controlling the response by the virtual agent having an appropriate personality according to the communication status between the users.
- a virtual agent that responds by a message or voice is referred to as a bot.
- FIG. 1 is a diagram illustrating an application example of the information processing system according to the present embodiment.
- a message is exchanged with a friend (so-called chat) using the information processing apparatus 2 such as a smartphone, a tablet terminal, a mobile phone terminal, or a PC (personal computer).
- the information processing apparatus 2 such as a smartphone, a tablet terminal, a mobile phone terminal, or a PC (personal computer).
- chat screen 200 is displayed, message exchange between the user A and the user B, and icons 201 and 203 of each user are displayed.
- the information processing system can excite chat by presenting the message 206 by the bot having the personality of the user C. .
- the icon 205 of the message 206 may clearly indicate that it is a bot by processing the icon of the user C as shown in FIG.
- the face image of the user C himself / herself may be arranged like a robot.
- a message by a bot having a personality of a predetermined person is generated according to a profile of the predetermined person that can be registered in advance and updated as needed.
- a message that a predetermined user is likely to respond to that is, a message by a bot having the personality of the predetermined user can be generated.
- FIG. 2 is a diagram illustrating the overall configuration of the information processing system according to the present embodiment.
- the information processing system includes information processing apparatuses 2 ⁇ / b> A and 2 ⁇ / b> B and processing servers 1 that each user has.
- the information processing apparatuses 2 ⁇ / b> A and 2 ⁇ / b> B can exchange messages (that is, text-based conversation) in real time via the network 4 under the control of the processing server 1.
- the processing server 1 analyzes the content of the message, compares the analysis result with the profile registered in the bot knowledge DB 12 (see FIG. 3), and the conversation performed between the information processing apparatuses 2A and 2B. Determine which bot can enter.
- the profile registered in the bot knowledge DB 12 may include information on various characters in addition to information on real (or deceased) users such as celebrities or ordinary people.
- the processing server 1 is linked to the bot registered in the bot knowledge DB 12 from the information group 5 on the cloud (for example, the news site server 51, the social communication server 52, the blog site server 53, the official site server 54, etc.). Collect various information about users and characters and store profiles.
- the profile stored in the bot knowledge DB 12 can be edited by the user himself / herself or, in the case of a celebrity, a manager, a fan, or a general user. Profile editing is performed by the editing terminal 3 or the information processing apparatus 2.
- an optimal pseudo user can be selected and intervened in the conversation according to the conversation content of the user who is already having a conversation.
- the bot to be selected is associated with a real user (general person, celebrity), deceased person (historical person, etc.), or character (local character, movie or drama character, fictional character, etc.)
- a message corresponding to a profile relating to a person or character is generated. Therefore, the bot's remarks that have intervened in the conversation can feel the personality of the real person or the character that is linked, not just a mechanically generated message.
- the user can expect the bot that has intervened in the conversation and expect the conversation to be excited.
- the person associated with the bot may be able to view the exchange of messages when his bot intervenes, and the conversation can be further enhanced by allowing the person to participate in the chat from the middle. It becomes possible to excite.
- FIG. 3 is a block diagram illustrating an example of the configuration of the processing server 1 according to the present embodiment.
- the processing server 1 includes a control unit 10, a communication unit 11, a bot knowledge DB (database) 12, and a content DB 13.
- the communication unit 11 transmits / receives data to / from an external device via wired / wireless.
- the communication unit 11 connects to the information processing apparatus 2 used when the user performs a text chat, the editing terminal 3, and various servers included in the information group 5 on the cloud, and transmits and receives data.
- the control unit 10 functions as an arithmetic processing unit and a control unit, and controls the overall operation in the processing server 1 according to various programs.
- the control unit 10 is realized by an electronic circuit such as a CPU (Central Processing Unit) or a microprocessor, for example.
- the control unit 10 according to the present embodiment also functions as the analysis unit 101, the bot selection unit 102, the message generation unit 103, the presentation control unit 104, and the notification control unit 105.
- the analysis unit 101 analyzes communication between real users acquired from the communication unit 11 (for example, text-based chat or voice chat), and extracts words as search keywords.
- the bot selection unit 102 selects one bot from a plurality of bots stored in the bot knowledge DB 12 according to the analysis result of the analysis unit 101. Specifically, the bot selection unit 102 searches the profile of each bot stored in the bot knowledge DB 12 based on the word extracted by the analysis unit 101 and selects a matching bot.
- the message generation unit 103 generates a message according to the analysis result of the analysis unit 101 and the profile of the bot selected by the bot selection unit 102. Specifically, the message generation unit 103 generates a message corresponding to the communication contents (for example, conversation contents) between real users analyzed by the analysis unit 101 based on the profile of the selected bot. For example, when real users are talking about a new song of a specific artist, the message generation unit 103 extracts information (release date, title, privilege, etc.) about the new song from the profile of the artist and generates a message.
- the communication contents for example, conversation contents
- the message generation unit 103 extracts information (release date, title, privilege, etc.) about the new song from the profile of the artist and generates a message.
- the presentation control unit 104 controls the message generated by the message generation unit 103 to intervene in communication between real users. Specifically, the presentation control unit 104 controls to post the message on a chat screen in which real users are having a text-based conversation.
- the notification control unit 105 performs control so that various notifications are given to the person associated with the selected bot. For example, the notification control unit 105 controls the generated message to be notified to the person associated with the selected bot before or after posting the generated message in a communication session between real users.
- the bot knowledge DB 12 is a storage unit that stores knowledge data of a plurality of bots, that is, profiles of persons or characters linked to the bot.
- FIG. 4 shows an example of a profile stored in the bot knowledge DB 12 according to the present embodiment.
- the profile shown in FIG. 4 is data of artist U who is a celebrity, and includes information gathered from artist U's blog, official homepage, news site, etc. in addition to information registered in advance.
- the profile includes, for example, a basic profile, activity information, and human relationship information as illustrated.
- the basic profile includes the person's basic profile associated with the bot. Also, basic keywords related to the person are linked. In addition, information on the place of birth and place of residence is not only used as a search keyword when selecting a bot, but also a dialect can be added to a message to be generated depending on the region.
- Activity information includes information such as handshake sessions, lectures, and movie releases. Such information may be set officially by the artist U himself or an employee of the affiliated office, or may be registered based on editing by the fan. In addition, since activity information can also be obtained from news sites, blogs, etc. on the cloud, it is possible to periodically crawl these Web sites and mine the information. Further, in the case of commercial content information such as music, video, concerts, etc., it can also be used as promotional writing by setting the advertisement flag to “true” as shown in FIG. Further, when music or video is stored in the content DB 13, link information to the content is also included in the activity information.
- the link information is not limited to the link to the content stored in the content DB 13, but may be a link to content stored in a content server (not shown) on the cloud, a related website, or the like.
- a link to the content in the automatically generated message.
- the link embedded in the message is a link of content that matches at least one of the profile of the selected bot or the analyzed chat content between real users.
- the human relationship information includes information regarding the relationship between the artist U himself and another person (target person). Specifically, the relationship with the target person and common keywords are included.
- the bots acting on behalf of each person will also be related. For example, together with the first bot intervened in the chat, the related second bot appears in the chat. By doing so, you can further enhance the conversation.
- the personality of the associated person can be further increased. It can produce faithfully and attract users' interests.
- the bot profile (that is, knowledge data) stored in the bot knowledge DB 12 has been specifically described above.
- the keywords included in each table described with reference to FIG. 4 may actually be ID-managed.
- keywords are extracted from the keyword information table stored in the bot knowledge DB 12 based on the keyword ID.
- FIG. 5 shows an example of the keyword information table according to the present embodiment. As shown in FIG. 5, the keyword information table includes a keyword ID and a corresponding keyword. Further, by associating each keyword with a similar keyword ID (similar keyword ID), the similarity between the keywords can be registered, and synonyms (for example, concert and live) can be registered.
- the content DB 13 stores content such as music and video. It is used when a celebrity promotes a song or video and puts a link destination in a chat where his bot intervenes as an advertisement.
- the content DB 13 is in the processing server 1, but the present disclosure is not limited to this, and the content DB 13 may be in an external server.
- the configuration of the processing server 1 according to the present embodiment has been specifically described above. Next, the operation process according to the present embodiment will be specifically described.
- FIG. 6 is a flowchart showing the celebrity bot message posting process according to this embodiment.
- the control unit 10 of the processing server 1 waits for a real user to input a new sentence on the chat using the information processing device 2 (step S ⁇ b> 103). If this flow is executed each time a message is input to the chat, a bot post is made each time the user writes, and it is unnatural and troublesome for the user. It is also possible to trigger when the exchange is performed or when a certain time has passed since the conversation was started.
- step S106 the control unit 10 of the processing server 1 checks whether or not the bot posting mode is on.
- the actual user can set on / off of the bot posting mode in advance. If bot intervention is not required, set the bot posting mode to off.
- the control unit 10 causes the analysis unit 101 to subject the text message, which is a conversation on a real user's chat, to text analysis such as morphological analysis (Ste S109).
- the analysis unit 101 decomposes the document into words from the result of the morphological analysis, and sets it as a search keyword (step S112).
- the bot selection unit 102 searches the bot knowledge DB 12 using the search keyword (step S115). Specifically, the bot selection unit 102 matches the extracted word (search keyword) with the profile of the person whose celebrity flag is ture among the profiles stored in the bot knowledge DB 12, and only the number of matched keywords. Add a score. For example, the score may be set to one point by one matching, the activity information may be 2 points, and the activity information to be advertised may be 3 points.
- step S118 the above process is repeated until a celebrity bot whose matching value exceeds a predetermined value is found.
- the bot selection unit 102 selects the celebrity bot (step S121).
- the bot selection unit 102 may select the bot with the highest score.
- the celebrity bot that appears first may be preferentially selected.
- select other celebrity bots with the relevant relationship and join multiple celebrity bots to the chat You may make it make it.
- the message generation unit 103 generates a bot message based on the selected celebrity bot profile and the message analysis content between real users (step S124). Details of the celebrity bot message generation process will be described later with reference to FIG. 7. For example, it is possible to generate a message after determining whether or not to include an advertisement.
- the message generation unit 103 may use a fixed sentence prepared in advance for each bot or matched keyword, or may automatically generate it using an existing sentence generation engine.
- the message generation unit 103 considers the birthplace or age included in the profile of the bot to make a message with a dialect, or a message with an adult, childish, feminine or masculine language. It is also possible to do.
- Step S130 when the person's approval is necessary for posting the generated bot message (step S127 / Yes), the notification control unit 105 notifies the person associated with the bot of the message before posting, and requests approval.
- the person is approved or not can be set in advance by the person. In the case of a celebrity bot, it is assumed that many requests for approval are made for the celebrity who is associated with the celebrity bot. For example, on the screen of the information processing terminal on the celebrity side, a large number of approval applications are scrolled and displayed. The principal may confirm and approve the request that is flowing when he / she is willing.
- step S133 when there is approval from the user (step S133 / Yes), the presentation control unit 104 controls to post the generated message to a chat between real users (step S136).
- step S139 when an interruption process is performed by the person associated with the bot, this is executed (step S139). Details of the principal interruption process will be described later with reference to FIG. While the person is interrupting, the bot posting mode may be turned off, or it may be interesting that the bot and the person appear at the same time and have a conversation, so it may not be turned off.
- step S133 if the person associated with the bot has not been approved or timed out in step S133 (step S133 / Yes), the generated message is not posted, and the person is interrupted. This is executed (step S139).
- step S142 The above steps S103 to S139 are repeated until the chat session ends.
- the end of the chat session is assumed to be an explicit session end operation or when there is no writing for a certain period of time.
- FIG. 7 is a flowchart showing message generation processing of the celebrity bot according to the present embodiment.
- the message generation unit 103 confirms whether or not advertisement posting by the bot is permitted (step S153).
- the message generation unit 103 when the advertisement posting is permitted (step S153 / Yes), the message generation unit 103 generates a random number and checks whether or not it is above the threshold (step S159).
- a random number is used for the purpose of preventing an advertisement from being posted every time an advertisement is permitted.
- the method may not be a random number. For example, an advertisement may be issued once every three times.
- the message generation unit 103 uses the real celebrity bot profile stored in the bot knowledge DB 12 in the activity information whose advertisement flag is true. A message is generated using activity information that matches the search keyword extracted from the user's chat (step S162).
- Step S165 when the matching activity information is already used in the same chat session (step S165 / Yes), the unused activity information in the session is used among the other activity information in the candidates. (Step S168).
- the message generation unit 103 selects information that matches the search keyword extracted from the chat among the activity information and human relationship information whose advertisement flag is false. To generate a message (step S156). Similarly, when the random number value is lower than the threshold value in S159 (step S159 / No), or in the case where advertisement posting is not permitted in S153 (step S153 / No), the message generation unit 103 also uses the advertisement flag. A message is generated using information that is false and matches the search keyword (step S156).
- the message generation unit 103 performs content link based on the content link information (see FIG. 4) included in the activity information. Is added to the message (step S171). If the content can be directly embedded in the message, the content itself may be displayed directly on the message.
- a display example of the bot message generated using FIG. 8 will be described.
- FIG. 8 is a diagram for explaining a message display example of the celebrity bot according to the present embodiment.
- a chat screen 210 is displayed on the display unit 21A of the information processing apparatus 2A of the user A.
- messages about artist U (nickname “UU”) are exchanged between user A and user D who are real users, and processing server 1 uses keywords such as “UU” and “CM of new song”.
- the artist U's profile is selected based on the above and a message is generated. For example, a message is generated based on information about a new song whose advertisement information is true in the profile of artist U.
- the generated message is posted on a chat between real users as shown in FIG.
- a message 212 including promotion information is displayed together with a bot icon 211 of artist U.
- the content 213 is directly embedded in the message 212.
- a playback button is also pasted on the content 213 so that the user A and the user D can directly view the content.
- the message generation unit 103 may generate and post a message that displays a member registration button together with a comment such as “You can listen as long as you register as a member!”. If the content is a general product, a product image of an Internet mail order website may be pasted in the message, and a purchase button may be displayed together with the message “You can buy from here!”.
- FIG. 9 is a flowchart showing the personal interrupt processing according to the present embodiment.
- the control unit 10 of the processing server 1 determines whether or not a descending button indicating the start of the principal interruption process has been pressed (step S183).
- a bot post is made, the person who is linked to the bot is notified of the content of the posted message, or the exchange between real users before and after making a bot post in the posting destination chat is viewed. You may be able to do it.
- FIG. 10 shows an example of a bot-compatible chat list screen displayed on the display unit of the information processing terminal of the person associated with the bot.
- the illustrated bot-compatible chat list screen 400 shows a list of chat sessions supported by bots that perform promotions on behalf of the person.
- the celebrity himself / herself looks at the chat sessions 401, 402, and 403, and if there is a chat session that he / she wants to speak directly, he / she taps to select it.
- the chat sessions 401, 402, and 403, the latest bot message is displayed.
- the display screen changes to the chat screen 410 shown in FIG.
- an advent button 411 is displayed. If the celebrity himself wants to intervene in the chat instead of the bot, the celebrity taps the advent button 411.
- the display screen changes to a chat screen 420 shown in FIG. That is, the text input field 421 is newly displayed, and when the celebrity himself enters the text and selects the post button,
- step S183 / Yes When the descending button 411 is pressed (step S183 / Yes), the control unit 10 of the processing server 1 turns off the bot posting mode (step S186). This stops the message posting by the bot while the participant is participating.
- the control unit 10 confirms whether or not the personal stealth mode is set (step S189).
- the principal stealth mode is a mode in which the participation of the principal is not noticed by the chat user at the intervention destination.
- the principal stealth mode may be set in advance by a famous person, or may be appropriately set when intervening.
- FIG. 12 shows a message input screen in the personal stealth mode.
- the chat screen 420 shown in FIG. 12 is a screen that is transitioned when the descending button 411 shown in FIG. 11 is tapped.
- the celebrity himself / herself can input a text in the text input field 421 and select a posting button to post a message to the chat.
- the message 422 posted by the user is displayed together with the bot icon.
- FIG. 13 shows an example of the chat screen in the case where the display during the person's advent is on.
- the chat screen 220 shown in FIG. 13 is a screen displayed on the display unit of the information processing apparatus 2A of the user A, and the “person is descending!” Display indicating that the celebrity himself is descending is displayed, for example, upward.
- the user's message is displayed together with the user's icon 221.
- the user A and the user D can know that the celebrity himself who has been on the topic has appeared, and can expect further conversation.
- the distinction between the person and the bot may be indicated by the difference in icons as shown in FIGS. 12 and 13, and for example, the color of the message balloon may be changed, or the message font may be changed. (For example, in the case of bot remarks, a robot-like font is used).
- control unit 10 of the processing server 1 determines whether or not the ascension button 423 (see FIG. 12) for ending the principal interruption process has been pressed (step S198).
- step S198 / Yes When the ascension button 423 is pressed (step S198 / Yes), the control unit 10 turns off the display of the person coming down (step S201) and turns on the bot posting mode (step S204).
- both the person and the bot may write independently, so both the bot and the person can post at any time without the admission button 411 shown in FIG. It is good. At that time, the presence or absence of display distinction between the bot and the person may be either.
- FIG. 14 is a diagram illustrating an example of a profile of a general person stored in the bot knowledge DB 12 according to the present embodiment.
- the general person profile includes a basic profile, activity information, and personal relationship information.
- there is no fee-based content for the type of activity unlike the case of a celebrity, and an individual's daily SNS (social networking service) posting or explicit from the editing terminal 3 It consists of edited contents.
- the profile may be edited by the person himself / herself or may be edited by a person registered as a friend in the service. Moreover, you may give an edit right individually to the person whom the person can trust.
- FIG. 15 is a flowchart showing message posting processing of a general bot according to this embodiment.
- steps S303 to S312 shown in FIG. 15 similar to steps S103 to S112 in the processing of the celebrity bot described with reference to FIG. 6, messages exchanged by chat between real users are analyzed.
- the bot selection unit 102 matches the extracted word with the keyword of the bot up to the friend of the real user who is celebrity flag or false and the friend of the friend (step S315). Whether it is a friend of a real user or a friend of a friend can be determined using friend registration information in the chat service, information registered in the bot knowledge DB 12, or the like.
- the bot selection unit 102 selects a friend bot based on the matching value (steps S318 and S321).
- the message generation unit 103 generates a message based on the profile of the selected friend bot (step S324).
- an ordinary person bot may not be able to post an advertisement, or a specific advertisement registered by the person may be allowed to be posted.
- the person approval process shown in steps S327 to S333, the message posting process generated in step S336, and the person interruption process shown in step S339 are the steps S127 to S139 in the celebrity bot process described with reference to FIG. It is the same.
- chat sessions 431, 432, and 433 are displayed on the chat list screen 430.
- bot is supported, “bot is supported” is displayed in the corresponding chat session, and it is possible to see the latest message of the corresponding chat session and the message exchanged after posting the bot.
- bots of users related to the chatting user appear.
- the user C when a user C who is a little interested at a party first encounters a topic in chat with a user B who joined the party together, the user C is a friend of the user B or a friend 1, it can be expected that user C's bot will appear on the chat screen between user A and user B, and the conversation will rise as shown in FIG.
- 16 is an example of a screen displayed on the information processing apparatus of the user C, for example, and in-progress chat sessions 431, 432, and 433 are displayed.
- the fact that the user C's own bot is compatible in the chat session 431 is clearly indicated by a display such as “bot compatible”.
- the bot of the user C appears in response to the exchange between the user A and the user B, the chat contents of the user A and the user B are notified to the user C who is the user A, so that the user A Even when C's contact information and detailed information are not known, it is possible to assist to a state where it is possible to communicate with each other naturally.
- Editing bot knowledge DB >> Next, editing of the bot profile stored in the bot knowledge DB 12 will be described with reference to FIGS. 17 and 18.
- the bot profile can be edited from the editing terminal 3 or the information processing apparatus 2.
- FIG. 17 is a diagram showing an example of the basic profile editing screen 310 of the bot profile according to this embodiment. As shown in FIG. 17, information that cannot be partially edited may be used. The name and age are acquired and calculated from the registration information of the service associated with the person on the system side.
- FIG. 18 is a diagram showing an example of the activity information editing screen 320 for the bot profile according to this embodiment. As shown in FIG. 18, the activity information can also be manually input. Further, the activity information may be updated with keywords and the like by performing automatic mining periodically from the posted article of the person in cooperation with a predetermined SNS.
- the editing screen for the human relation information is not particularly shown, but for example, the user searches the name of the target person, acquires the displayed target person ID, and selects and registers the relationship with the person from the options. Is possible.
- keywords common to the target person may be manually input freely, or keywords common to both SNSs and profiles may be automatically extracted and registered.
- the functions of the processing server 1, the information processing apparatus 2, or the editing terminal 3 are exhibited in hardware such as the CPU, ROM, and RAM incorporated in the processing server 1, the information processing apparatus 2, or the editing terminal 3 described above. It is also possible to create a computer program for this purpose. A computer-readable storage medium storing the computer program is also provided.
- the information processing system is not limited to text chat, but can be applied to voice chat.
- a voice chat system that converts text into speech and plays it back is assumed.
- the processing server 1 when applied to a voice chat system, the processing server 1 generates synthesized speech using the phoneme data of the person associated with the bot when the message generator 103 generates a bot message, It is also possible to control the bot message to be output with a similar sound.
- this technique can also take the following structures.
- a virtual agent profile database that stores profiles of multiple virtual agents that can communicate on the network; Selecting one virtual agent from the plurality of virtual agents according to the analysis result of communication between real users; Generating a message according to the analysis result and the profile of the one virtual agent; A control unit for posting the generated message to the communication session between the real users;
- An information processing system comprising: (2) The information processing system according to (1), wherein the control unit embeds a link of content that matches at least one of the analysis result and the profile of the one virtual agent in the message. (3) The information processing system according to (2), wherein the content is advertising content.
- the profile of the virtual agent includes at least one of basic information, activity information, and person relation information of a person or character associated with the virtual agent, according to any one of (1) to (3) The information processing system described.
- the control unit notifies the user himself / herself who is represented by the one virtual agent before or after posting the message in the communication session between the real users.
- the information processing system according to any one of 4).
- (6) The information processing system according to (5), wherein the control unit posts a message generated by the user himself / herself in a communication session between the real users in response to a request from the user himself / herself.
- control unit controls to generate a display screen of the communication session that can determine whether the posting is made by the one virtual agent or the posting by the user himself / herself.
- Processing system Before posting the message to the communication session between the real users, the control unit notifies the message to the user himself / herself who is represented by the one virtual agent, and in response to the approval by the user, The information processing system according to any one of (1) to (7), wherein the message is posted in a communication session between real users. (9) The information processing system according to any one of (1) to (8), wherein the control unit provides a user interface capable of editing a profile of the one virtual agent.
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Information Transfer Between Computers (AREA)
- Operations Research (AREA)
Abstract
Description
1.本開示の一実施形態による情報処理システムの概要
2.処理サーバの構成
3.動作処理
3-1.有名人botの応答制御
3-1-1.有名人botのメッセージ投稿処理
3-1-2.有名人botのメッセージ生成処理
3-1-3.本人割込処理
3-2.一般人botの応答制御
4.bot知識DBの編集
5.まとめ
本実施形態による情報処理システムでは、ユーザ同士のコミュニケーション状況に応じて適切な人格を持つ仮想エージェントによる応答を制御することで、仮想エージェントとの会話を盛り上げることが可能となる。以下、本実施形態において、メッセージまたはボイスによる応答を行う仮想エージェントをbotと称す。
図3は、本実施形態による処理サーバ1の構成の一例を示すブロック図である。図3に示すように、処理サーバ1は、制御部10、通信部11、bot知識DB(データベース)12、およびコンテンツDB13を含む。
<3-1.有名人botの応答制御>
まず、有名人botの応答制御について、図6~図13を参照して以下具体的に説明する。
図6は、本実施形態による有名人botのメッセージ投稿処理を示すフローチャートである。図6に示すように、処理サーバ1の制御部10は、情報処理装置2を用いて実ユーザがチャット上に新しい文章を入力するのを待つ(ステップS103)。なおチャットにメッセージが入力される度に本フローを実施すると、ユーザの書き込みに対して毎回bot投稿が行われてユーザにとって不自然で煩わしいため、処理サーバ1は、実ユーザ間のチャットで一定数のやり取りが行われた場合や、会話が開始されてから一定時間経過した場合をトリガにするようにしてもよい。
次に、上記ステップS124に示すメッセージ生成処理について、図7を参照して具体的に説明する。図7は、本実施形態による有名人botのメッセージ生成処理を示すフローチャートである。
続いて、上記ステップS139に示す本人割込処理について図9を参照して説明する。図9は、本実施形態による本人割込み処理を示すフローチャートである。
上述した実施形態では、有名人botについて具体的に説明したが、本実施形態はこれに限定されず、一般人のプロファイルがbot知識DB12に登録されていれば、一般人botも同様に実ユーザ間のチャットへ介入させることが可能である。以下、図14~図16を参照して具体的に説明する。
次いで、bot知識DB12に格納されているbotプロファイルの編集について図17および図18を参照して説明する。botプロファイルの編集は、編集端末3または情報処理装置2から行われ得る。
上述したように、本開示の実施形態による情報処理システムでは、ユーザ同士のコミュニケーション状況に応じた適切な人格を持つ仮想エージェントによる応答により会話を盛り上げることが可能となる。
(1)
ネットワーク上でコミュニケーション可能な複数の仮想エージェントのプロファイルを蓄積する仮想エージェントプロファイルデータベースと、
実ユーザ同士のコミュニケーションの解析結果に応じて、前記複数の仮想エージェントから一の仮想エージェントを選択し;
前記解析結果と、前記一の仮想エージェントのプロファイルに応じてメッセージを生成し;
前記実ユーザ同士のコミュニケーションセッションに、生成したメッセージを投稿する制御部と、
を備える、情報処理システム。
(2)
前記制御部は、前記解析結果と前記一の仮想エージェントのプロファイルのうち、少なくともいずれか一方とマッチするコンテンツのリンクを前記メッセージに埋め込む、前記(1)に記載の情報処理システム。
(3)
前記コンテンツは、広告コンテンツである、前記(2)に記載の情報処理システム。
(4)
前記仮想エージェントのプロファイルは、仮想エージェントに紐付けられている人物またはキャラクターの基本情報、活動情報、および人物関係情報の少なくともいずれかを含む、前記(1)~(3)のいずれか1項に記載の情報処理システム。
(5)
前記制御部は、前記実ユーザ同士のコミュニケーションセッションに、当該メッセージを投稿する前または投稿した後に、前記一の仮想エージェントに代理されているユーザ本人に前記メッセージを通知する、前記(1)~(4)のいずれか1項に記載の情報処理システム。
(6)
前記制御部は、前記ユーザ本人からの要求に応じて、前記実ユーザ同士のコミュニケーションセッションに、前記ユーザ本人が生成したメッセージを投稿する、前記(5)に記載の情報処理システム。
(7)
前記制御部は、前記一の仮想エージェントによる投稿か、前記ユーザ本人による投稿かが判別可能な、前記コミュニケーションセッションの表示画面を生成するよう制御する、前記(5)または(6)に記載の情報処理システム。
(8)
前記制御部は、前記実ユーザ同士のコミュニケーションセッションに当該メッセージを投稿する前に、前記一の仮想エージェントに代理されているユーザ本人に前記メッセージを通知し、前記ユーザ本人による承認に応じて、前記実ユーザ同士のコミュニケーションセッションに前記メッセージを投稿する、前記(1)~(7)のいずれか1項に記載の情報処理システム。
(9)
前記制御部は、前記一の仮想エージェントのプロファイルを編集可能なユーザーインタフェースを提供する、前記(1)~(8)のいずれか1項に記載の情報処理システム。
(10)
プロセッサが、
実ユーザ同士のコミュニケーションの解析結果に応じて、ネットワーク上でコミュニケーション可能な複数の仮想エージェントから一の仮想エージェントを選択することと、
前記解析結果と、仮想エージェントプロファイルデータベースに蓄積されている前記一の仮想エージェントのプロファイルに応じてメッセージを生成することと、
前記実ユーザ同士のコミュニケーションセッションに、生成したメッセージを投稿することと、
を含む、情報処理方法。
10 制御部
101 解析部
102 bot選択部
103 メッセージ生成部
104 提示制御部
105 通知制御部
11 通信部
12 bot知識DB
13 コンテンツDB
2 情報処理装置
3 編集端末
4 ネットワーク
5 情報群
Claims (10)
- ネットワーク上でコミュニケーション可能な複数の仮想エージェントのプロファイルを蓄積する仮想エージェントプロファイルデータベースと、
実ユーザ同士のコミュニケーションの解析結果に応じて、前記複数の仮想エージェントから一の仮想エージェントを選択し;
前記解析結果と、前記一の仮想エージェントのプロファイルに応じてメッセージを生成し;
前記実ユーザ同士のコミュニケーションセッションに、生成したメッセージを投稿する制御部と、
を備える、情報処理システム。 - 前記制御部は、前記解析結果と前記一の仮想エージェントのプロファイルのうち、少なくともいずれか一方とマッチするコンテンツのリンクを前記メッセージに埋め込む、請求項1に記載の情報処理システム。
- 前記コンテンツは、広告コンテンツである、請求項2に記載の情報処理システム。
- 前記仮想エージェントのプロファイルは、仮想エージェントに紐付けられている人物またはキャラクターの基本情報、活動情報、および人物関係情報の少なくともいずれかを含む、請求項1に記載の情報処理システム。
- 前記制御部は、前記実ユーザ同士のコミュニケーションセッションに、当該メッセージを投稿する前または投稿した後に、前記一の仮想エージェントに代理されているユーザ本人に前記メッセージを通知する、請求項1に記載の情報処理システム。
- 前記制御部は、前記ユーザ本人からの要求に応じて、前記実ユーザ同士のコミュニケーションセッションに、前記ユーザ本人が生成したメッセージを投稿する、請求項5に記載の情報処理システム。
- 前記制御部は、前記一の仮想エージェントによる投稿か、前記ユーザ本人による投稿かが判別可能な、前記コミュニケーションセッションの表示画面を生成するよう制御する、請求項5または6に記載の情報処理システム。
- 前記制御部は、前記実ユーザ同士のコミュニケーションセッションに当該メッセージを投稿する前に、前記一の仮想エージェントに代理されているユーザ本人に前記メッセージを通知し、前記ユーザ本人による承認に応じて、前記実ユーザ同士のコミュニケーションセッションに前記メッセージを投稿する、請求項1に記載の情報処理システム。
- 前記制御部は、前記一の仮想エージェントのプロファイルを編集可能なユーザーインタフェースを提供する、請求項1に記載の情報処理システム。
- プロセッサが、
実ユーザ同士のコミュニケーションの解析結果に応じて、ネットワーク上でコミュニケーション可能な複数の仮想エージェントから一の仮想エージェントを選択することと、
前記解析結果と、仮想エージェントプロファイルデータベースに蓄積されている前記一の仮想エージェントのプロファイルに応じてメッセージを生成することと、
前記実ユーザ同士のコミュニケーションセッションに、生成したメッセージを投稿することと、
を含む、情報処理方法。
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/751,928 US11336594B2 (en) | 2015-10-20 | 2016-07-08 | Information processing system and information processing method |
KR1020187009665A KR20180073566A (ko) | 2015-10-20 | 2016-07-08 | 정보 처리 시스템 및 정보 처리 방법 |
EP16857135.4A EP3367250A4 (en) | 2015-10-20 | 2016-07-08 | Information processing system and information processing method |
CN201680049803.3A CN107924372B (zh) | 2015-10-20 | 2016-07-08 | 信息处理系统和信息处理方法 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2015-206444 | 2015-10-20 | ||
JP2015206444 | 2015-10-20 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2017068817A1 true WO2017068817A1 (ja) | 2017-04-27 |
Family
ID=58557291
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2016/070208 WO2017068817A1 (ja) | 2015-10-20 | 2016-07-08 | 情報処理システム、および情報処理方法 |
Country Status (5)
Country | Link |
---|---|
US (1) | US11336594B2 (ja) |
EP (1) | EP3367250A4 (ja) |
KR (1) | KR20180073566A (ja) |
CN (2) | CN114037467A (ja) |
WO (1) | WO2017068817A1 (ja) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6342095B1 (ja) * | 2018-01-31 | 2018-06-13 | 豊田通商株式会社 | 健康管理システム、健康管理方法、プログラム、及び記録媒体 |
WO2019163079A1 (ja) * | 2018-02-23 | 2019-08-29 | 富士通株式会社 | 会話制御プログラム、会話制御方法及び会話制御装置 |
JP2019191939A (ja) * | 2018-04-25 | 2019-10-31 | メドケア株式会社 | 指導支援システム、指導支援方法及び指導支援サーバ |
WO2020054361A1 (ja) * | 2018-09-11 | 2020-03-19 | ソニー株式会社 | 情報処理システム、情報処理方法、および記録媒体 |
CN114037467A (zh) * | 2015-10-20 | 2022-02-11 | 索尼公司 | 信息处理系统、信息处理方法和计算机可读存储介质 |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101712180B1 (ko) * | 2015-12-29 | 2017-03-06 | 라인 가부시키가이샤 | 메시지를 송수신하기 위한 컴퓨터로 읽을 수 있는 기록매체에 저장된 프로그램, 방법 및 장치 |
WO2017182888A2 (en) * | 2016-04-18 | 2017-10-26 | Elango Allwin Agnel | System and method for assisting user communications using bots |
US20190303948A1 (en) * | 2016-11-18 | 2019-10-03 | Troops, Inc. | Providing customer relationship management data via a messaging interface |
US10846615B2 (en) | 2017-04-12 | 2020-11-24 | Facebook, Inc. | Techniques for reinforcement for bots using capability catalogs |
US20180302345A1 (en) * | 2017-04-12 | 2018-10-18 | Facebook, Inc. | Techniques for event-based recommendations for bots |
US11025566B2 (en) | 2017-04-12 | 2021-06-01 | Facebook, Inc. | Techniques for intent-based search for bots |
US11341173B2 (en) | 2017-04-12 | 2022-05-24 | Meta Platforms, Inc. | Techniques for personalized search for bots |
US11494440B1 (en) * | 2017-04-12 | 2022-11-08 | Meta Platforms, Inc. | Proactive and reactive suggestions for a messaging system |
US10341129B2 (en) * | 2017-08-19 | 2019-07-02 | Johnson Manuel-Devadoss | Method and system to provide the trending news stories to the plurality of groups based on the plurality of group members existing conversations |
US11520821B2 (en) * | 2018-11-27 | 2022-12-06 | Rovi Guides, Inc. | Systems and methods for providing search query responses having contextually relevant voice output |
CN112818107B (zh) * | 2021-02-24 | 2023-10-31 | 中国人民大学 | 一种用于日常生活的对话机器人及其聊天方法 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH10222521A (ja) * | 1997-01-31 | 1998-08-21 | Toshiba Corp | 情報共有支援システム |
JPH11272577A (ja) * | 1998-03-20 | 1999-10-08 | Fujitsu Ltd | チャットシステムにおけるコミュニケーション管理システム |
JP2004234492A (ja) * | 2003-01-31 | 2004-08-19 | Nec Software Tohoku Ltd | チャットシステム及び広告提供方法 |
JP2005196356A (ja) * | 2004-01-05 | 2005-07-21 | Nec Corp | 擬似人格対話システム、方法、およびプログラム |
JP2008191748A (ja) * | 2007-02-01 | 2008-08-21 | Oki Electric Ind Co Ltd | ユーザ間コミュニケーション方法、ユーザ間コミュニケーションプログラム、ユーザ間コミュニケーション装置 |
JP2014086088A (ja) * | 2012-10-19 | 2014-05-12 | Samsung Electronics Co Ltd | ディスプレイ装置、ディスプレイ装置制御方法及びディスプレイ装置の制御のための情報処理装置 |
JP2015069455A (ja) * | 2013-09-30 | 2015-04-13 | Necソリューションイノベータ株式会社 | 会話文生成装置、会話文生成方法、及びプログラム |
Family Cites Families (47)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
US6393461B1 (en) | 1998-02-27 | 2002-05-21 | Fujitsu Limited | Communication management system for a chat system |
JP4172886B2 (ja) | 1999-10-08 | 2008-10-29 | 富士通株式会社 | 疑似クライアント装置、疑似クライアントプログラムを格納したコンピュータ可読媒体、及び、チャットシステム |
US6907571B2 (en) * | 2000-03-01 | 2005-06-14 | Benjamin Slotznick | Adjunct use of instant messenger software to enable communications to or between chatterbots or other software agents |
JP2002216026A (ja) * | 2000-11-17 | 2002-08-02 | Sony Corp | 情報通信システム、エージェント端末、情報配信システム、エージェントプログラムが記憶された記憶媒体、エージェントアクセスプログラムが記憶された記憶媒体、専用処理プログラムが記憶された記憶媒体、エージェントプログラム、エージェントアクセスプログラム、及び、専用処理プログラム |
JP2005157419A (ja) * | 2003-11-20 | 2005-06-16 | Sony Corp | 情報処理システム、情報処理装置および方法、並びにプログラム |
US7545784B2 (en) * | 2004-02-11 | 2009-06-09 | Yahoo! Inc. | System and method for wireless communication between previously known and unknown users |
CN100518070C (zh) * | 2004-08-13 | 2009-07-22 | 上海赢思软件技术有限公司 | 一种聊天机器人系统 |
US20070043822A1 (en) * | 2005-08-18 | 2007-02-22 | Brumfield Sara C | Instant messaging prioritization based on group and individual prioritization |
WO2008106196A1 (en) * | 2007-03-01 | 2008-09-04 | Sony Computer Entertainment America Inc. | Virtual world avatar control, interactivity and communication interactive messaging |
US7809525B2 (en) * | 2007-07-31 | 2010-10-05 | International Business Machines Corporation | Automatic configuration of robotic transaction playback through analysis of previously collected traffic patterns |
JP2009059160A (ja) * | 2007-08-31 | 2009-03-19 | Sony Corp | サーバ装置、ネットワークシステム、コンテンツ発見通知方法、及びコンピュータ・プログラム |
CN101119209A (zh) * | 2007-09-19 | 2008-02-06 | 腾讯科技(深圳)有限公司 | 虚拟宠物系统和虚拟宠物聊天方法、装置 |
CN101242373A (zh) * | 2007-11-14 | 2008-08-13 | 李强 | 三维动态网络聊天 |
US8032601B2 (en) * | 2009-01-26 | 2011-10-04 | International Business Machines Corporation | System and method for client-based instant message monitoring for off-line users |
CN101588323B (zh) * | 2009-06-11 | 2011-07-06 | 腾讯科技(深圳)有限公司 | 一种使用聊天机器人在im群中主动发布消息的方法和系统 |
CN102195935B (zh) * | 2010-03-03 | 2015-07-29 | 深圳市腾讯计算机系统有限公司 | 游戏托管系统及方法 |
US8423392B2 (en) * | 2010-04-01 | 2013-04-16 | Google Inc. | Trusted participants of social network providing answers to questions through on-line conversations |
US9929982B2 (en) * | 2010-04-08 | 2018-03-27 | Microsoft Technology Licensing, Llc | Designating automated agents as friends in a social network service |
US20120011003A1 (en) * | 2010-07-07 | 2012-01-12 | Google Inc. | Review of Advertisements |
EP2424205B1 (de) * | 2010-08-26 | 2019-03-13 | Unify GmbH & Co. KG | Verfahren und Anordnung zur automatischen Übertragung einer Zustandsinformation |
CN102110304B (zh) * | 2011-03-29 | 2012-08-22 | 华南理工大学 | 一种基于素材引擎的漫画自动生成方法 |
US8676937B2 (en) * | 2011-05-12 | 2014-03-18 | Jeffrey Alan Rapaport | Social-topical adaptive networking (STAN) system allowing for group based contextual transaction offers and acceptances and hot topic watchdogging |
CN103209201A (zh) * | 2012-01-16 | 2013-07-17 | 上海那里信息科技有限公司 | 基于社交关系的虚拟化身互动系统和方法 |
US8949159B2 (en) * | 2012-01-20 | 2015-02-03 | Avaya Inc. | System and method for automatic merging of real and virtual environments |
CN103368816A (zh) * | 2012-03-29 | 2013-10-23 | 深圳市腾讯计算机系统有限公司 | 基于虚拟人物形象的即时通讯方法及系统 |
KR101978205B1 (ko) * | 2012-06-07 | 2019-05-14 | 엘지전자 주식회사 | 이동 단말기 및 그 제어 방법, 이를 위한 기록 매체 |
EP2890529A2 (en) * | 2012-08-31 | 2015-07-08 | Rethink Robotics Inc. | Systems and methods for safe robot operation |
US20140122083A1 (en) * | 2012-10-26 | 2014-05-01 | Duan Xiaojiang | Chatbot system and method with contextual input and output messages |
KR20140061620A (ko) * | 2012-11-13 | 2014-05-22 | 삼성전자주식회사 | 증강 현실을 활용한 소셜 네트워크 서비스 제공 시스템 및 방법과, 디바이스 |
JP5368623B1 (ja) * | 2012-12-06 | 2013-12-18 | 株式会社gloops | ゲームサーバ、ゲーム制御方法、プログラム、及びゲームシステム |
CN104813311B (zh) * | 2012-12-11 | 2018-06-05 | 纽昂斯通讯公司 | 用于多人的虚拟代理推荐的系统和方法 |
CN103024066B (zh) | 2012-12-26 | 2017-05-17 | 广东欧珀移动通信有限公司 | 一种自动推送终端主题的方法 |
CN103927091B (zh) * | 2013-01-15 | 2018-04-27 | 华为终端有限公司 | 一种人机交互的方法、装置及系统 |
CN104009955B (zh) * | 2013-02-21 | 2015-10-28 | 腾讯科技(深圳)有限公司 | 一种联系人信息的处理方法、装置和系统 |
US9172747B2 (en) * | 2013-02-25 | 2015-10-27 | Artificial Solutions Iberia SL | System and methods for virtual assistant networks |
US9965553B2 (en) * | 2013-05-29 | 2018-05-08 | Philip Scott Lyren | User agent with personality |
CN104639420B (zh) * | 2013-11-15 | 2019-06-07 | 腾讯科技(深圳)有限公司 | 即时通讯的信息处理方法和系统 |
CN203721103U (zh) * | 2013-12-15 | 2014-07-16 | 何菊红 | 一种全自动电脑检测心肺复苏训练人体模型 |
CN104735389B (zh) * | 2013-12-23 | 2018-08-31 | 联想(北京)有限公司 | 信息处理方法和信息处理设备 |
WO2015145219A1 (en) * | 2014-03-28 | 2015-10-01 | Navaratnam Ratnakumar | Systems for remote service of customers using virtual and physical mannequins |
US9559993B2 (en) * | 2014-10-02 | 2017-01-31 | Oracle International Corporation | Virtual agent proxy in a real-time chat service |
CN104579685A (zh) * | 2015-01-04 | 2015-04-29 | 宇龙计算机通信科技(深圳)有限公司 | 一种信息保护方法及装置 |
CN113612677A (zh) * | 2015-10-20 | 2021-11-05 | 索尼公司 | 信息处理系统和信息处理方法 |
CN114037467A (zh) * | 2015-10-20 | 2022-02-11 | 索尼公司 | 信息处理系统、信息处理方法和计算机可读存储介质 |
CN111292856A (zh) * | 2018-12-06 | 2020-06-16 | 阿里巴巴集团控股有限公司 | 交互方法、装置及计算机设备 |
CN113570374A (zh) * | 2021-06-17 | 2021-10-29 | 南通美之兰通讯科技有限公司 | 一种基于人脸识别的移动支付方法的系统、方法及设备 |
-
2016
- 2016-07-08 CN CN202111235449.2A patent/CN114037467A/zh active Pending
- 2016-07-08 CN CN201680049803.3A patent/CN107924372B/zh active Active
- 2016-07-08 KR KR1020187009665A patent/KR20180073566A/ko not_active Application Discontinuation
- 2016-07-08 US US15/751,928 patent/US11336594B2/en active Active
- 2016-07-08 EP EP16857135.4A patent/EP3367250A4/en not_active Ceased
- 2016-07-08 WO PCT/JP2016/070208 patent/WO2017068817A1/ja active Application Filing
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH10222521A (ja) * | 1997-01-31 | 1998-08-21 | Toshiba Corp | 情報共有支援システム |
JPH11272577A (ja) * | 1998-03-20 | 1999-10-08 | Fujitsu Ltd | チャットシステムにおけるコミュニケーション管理システム |
JP2004234492A (ja) * | 2003-01-31 | 2004-08-19 | Nec Software Tohoku Ltd | チャットシステム及び広告提供方法 |
JP2005196356A (ja) * | 2004-01-05 | 2005-07-21 | Nec Corp | 擬似人格対話システム、方法、およびプログラム |
JP2008191748A (ja) * | 2007-02-01 | 2008-08-21 | Oki Electric Ind Co Ltd | ユーザ間コミュニケーション方法、ユーザ間コミュニケーションプログラム、ユーザ間コミュニケーション装置 |
JP2014086088A (ja) * | 2012-10-19 | 2014-05-12 | Samsung Electronics Co Ltd | ディスプレイ装置、ディスプレイ装置制御方法及びディスプレイ装置の制御のための情報処理装置 |
JP2015069455A (ja) * | 2013-09-30 | 2015-04-13 | Necソリューションイノベータ株式会社 | 会話文生成装置、会話文生成方法、及びプログラム |
Non-Patent Citations (1)
Title |
---|
See also references of EP3367250A4 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114037467A (zh) * | 2015-10-20 | 2022-02-11 | 索尼公司 | 信息处理系统、信息处理方法和计算机可读存储介质 |
JP6342095B1 (ja) * | 2018-01-31 | 2018-06-13 | 豊田通商株式会社 | 健康管理システム、健康管理方法、プログラム、及び記録媒体 |
JP2019133397A (ja) * | 2018-01-31 | 2019-08-08 | 豊田通商株式会社 | 健康管理システム、健康管理方法、プログラム、及び記録媒体 |
WO2019163079A1 (ja) * | 2018-02-23 | 2019-08-29 | 富士通株式会社 | 会話制御プログラム、会話制御方法及び会話制御装置 |
JPWO2019163079A1 (ja) * | 2018-02-23 | 2021-02-04 | 富士通株式会社 | 会話制御プログラム、会話制御方法及び会話制御装置 |
US11075864B2 (en) | 2018-02-23 | 2021-07-27 | Fujitsu Limited | Computer-readable recording medium recording conversation control program, conversation control method, and information processing device |
JP2019191939A (ja) * | 2018-04-25 | 2019-10-31 | メドケア株式会社 | 指導支援システム、指導支援方法及び指導支援サーバ |
WO2020054361A1 (ja) * | 2018-09-11 | 2020-03-19 | ソニー株式会社 | 情報処理システム、情報処理方法、および記録媒体 |
Also Published As
Publication number | Publication date |
---|---|
EP3367250A1 (en) | 2018-08-29 |
KR20180073566A (ko) | 2018-07-02 |
US20180241701A1 (en) | 2018-08-23 |
CN107924372A (zh) | 2018-04-17 |
CN107924372B (zh) | 2021-11-30 |
US11336594B2 (en) | 2022-05-17 |
CN114037467A (zh) | 2022-02-11 |
EP3367250A4 (en) | 2018-12-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2017068817A1 (ja) | 情報処理システム、および情報処理方法 | |
US20220284896A1 (en) | Electronic personal interactive device | |
KR102393817B1 (ko) | 인간 대 컴퓨터 다이얼로그들에 요청되지 않은 콘텐츠의 사전 통합 | |
CN107391523B (zh) | 多用户消息交互话题中提供用于与自动化助理交互的建议 | |
CN110603552B (zh) | 在促成现有会话时对推荐动作配置的虚拟助理 | |
US11610092B2 (en) | Information processing system, information processing apparatus, information processing method, and recording medium | |
JP2008052449A (ja) | 対話型エージェントシステム及び方法 | |
US20200151765A1 (en) | Information processing device, information processing method and program | |
US11267121B2 (en) | Conversation output system, conversation output method, and non-transitory recording medium | |
JP2016207217A (ja) | 管理装置及び嗜好性特定方法 | |
JP7019984B2 (ja) | 情報提示システム、情報提示方法及びプログラム | |
JP5925935B1 (ja) | 管理装置及び嗜好性特定方法 | |
Bergman et al. | Speaking about voice: a study on communicating brand personality through virtual assistants | |
EP4395242A1 (en) | Artificial intelligence social facilitator engine | |
JP2016206936A (ja) | メッセージ送受信装置及びメッセージ送受信方法 | |
JP2019003328A (ja) | フレーズ提示装置、フレーズ提示システム、フレーズ提示プログラムおよびフレーズ提示方法 | |
JP2020170239A (ja) | 出力プログラム、出力装置及び出力方法 | |
JP2016207189A (ja) | メッセージ送受信装置及びメッセージ送受信方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 16857135 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 15751928 Country of ref document: US |
|
ENP | Entry into the national phase |
Ref document number: 20187009665 Country of ref document: KR Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2016857135 Country of ref document: EP |
|
NENP | Non-entry into the national phase |
Ref country code: JP |