System

Abstract

An object of a system according to an embodiment is to realize natural and customized communication with a user.SOLUTION: A system according to an embodiment includes a dialogue unit, an emotion analysis unit, a character generation unit, and an event providing unit. The interaction unit receives an input from a user. The emotion analysis unit analyzes the input of the user received by the dialogue unit. The character generation unit generates a response reflecting a unique character property on the basis of a result analyzed by the emotion analysis unit. The event provider provides limited content based on a special event or theme.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional technologies have had the problem that it is difficult to realize natural and customized communication in dialogue with users.

[0005] The system according to the embodiment aims to realize natural and customized communication with the user. [Means for solving the problem]

[0006] The system according to the embodiment includes a dialogue unit, an emotion analysis unit, a character generation unit, and an event provision unit. The dialogue unit accepts user input. The emotion analysis unit analyzes the user input accepted by the dialogue unit. The character generation unit generates a response that reflects the unique character based on the results of the analysis by the emotion analysis unit. The event provision unit provides limited content based on a special event or theme. [Effects of the Invention]

[0007] The system according to the embodiment can realize natural and customized communication with the user. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A dialogue service according to an embodiment of the present invention is a system in which a generation AI accepts user input, analyzes the user's words and emotions, generates responses that reflect the user's unique character, and provides limited content based on special events or themes. This enables the dialogue service to strengthen the connection between the user and the AI ​​and provide an innovative digital entertainment experience.

[0029] The dialogue service according to the embodiment includes a dialogue unit, an emotion analysis unit, a character generation unit, and an event providing unit. The dialogue unit receives user input. For example, it can receive text input, voice input, gesture input, etc. The dialogue unit processes the user input in real time and passes it on to the next process. The emotion analysis unit analyzes the user input received by the dialogue unit. For example, it can perform voice analysis, text analysis, facial expression analysis, etc. to estimate the user's emotions. The emotion analysis unit can detect changes in the user's emotions in real time. The character generation unit generates responses that reflect unique character traits based on the results of the analysis by the emotion analysis unit. For example, it can generate responses that reflect the character's personality, speaking style, appearance, etc. The character generation unit can learn the user's past dialogue history and provide dialogue optimized for each individual user. The event providing unit provides limited content based on special events or themes. For example, it can provide seasonal events, themes based on specific topics, etc. The event providing unit can customize event content and themes according to the user's emotions. As a result, the dialogue service according to the embodiment can strengthen the connection between the user and the AI ​​and provide an innovative digital entertainment experience. For example, if the user says, "I'm tired today," the AI ​​dollar can respond by saying, "Good work! I'll play some relaxing music." Also, during special events, the AI ​​dollar can entertain the user with exclusive content.

[0030] The character generation unit can learn the user's past conversation history and provide conversations that are optimized for each individual user. For example, if the user has previously said, "I like cats," the AI ​​idol can provoke a topic in the form of, "Have you taken any pictures of cats recently?" If the user has previously said, "I like traveling," the character generation unit can also provoke a topic in the form of, "Have you traveled anywhere recently?" The character generation unit can also learn the user's past conversation history and provide conversations that are optimized for each individual user. By learning the user's past conversation history, it is possible to provide conversations that are optimized for each individual user.

[0031] The dialogue unit can analyze images or videos sent by the user and generate a dialogue based on them. For example, if the user sends a photo of their pet, the dialogue unit can start a dialogue in the form of, "What a cute cat! What's its name?". Also, if the user sends a photo of their trip, the dialogue unit can start a dialogue in the form of, "What a lovely place! Where did you go?". The dialogue unit can also analyze images and videos sent by the user and generate a dialogue based on them. This makes it possible to generate a dialogue based on the images and videos sent by the user by analyzing them.

[0032] The character generation unit can suggest fashion or accessories that match the user's preferences. For example, if the user says, "I like casual clothes," the character generation unit can make a suggestion in the form of, "How about this casual outfit?". Also, if the user says, "I like elegant accessories," the character generation unit can make a suggestion in the form of, "How about this elegant accessory?". Also, the character generation unit can suggest fashion and accessories that match the user's preferences. This makes it possible to provide a more personalized experience by suggesting fashion and accessories that match the user's preferences.

[0033] The emotion analysis unit can generate appropriate questions based on the user's input and deepen the dialogue. For example, if the user says, "Work was hard today," the emotion analysis unit can generate a question in the form of, "What kind of work did you do?". Also, if the user says, "Today was fun," the emotion analysis unit can generate a question in the form of, "What did you enjoy doing?". Also, the emotion analysis unit can generate appropriate questions based on the user's input and deepen the dialogue. In this way, the dialogue can be deepened by generating appropriate questions based on the user's input.

[0034] The sentiment analysis unit can analyze the user's input content and provide related news or topics. For example, if the user says, "I want to know about new technology today," the AI ​​idol can respond by saying, "I'll introduce you to the latest technology news." Also, if the user says, "I want to know about entertainment topics today," the AI ​​idol can respond by saying, "I'll introduce you to the latest entertainment news." Also, the sentiment analysis unit can analyze the user's input content and provide related news or topics. By analyzing the user's input content, related news or topics can be provided.

[0035] The character generation unit can create a detailed backstory or setting for the character and reflect it in the dialogue. For example, the character generation unit can give an AI idol a backstory such as "I've loved singing since I was little" and reflect that in the dialogue with the user. The character generation unit can also give an AI idol a setting such as "I love traveling and have visited many countries" and reflect that in the dialogue with the user. The character generation unit can also create a detailed backstory or setting for the character and reflect that in the dialogue. By creating a detailed backstory or setting for the character, more engaging dialogue can be provided.

[0036] The character generation unit can customize the voice or speaking style of the character to suit the user's preferences. For example, if the user says, "I like bright voices," the character generation unit can customize the AI ​​idol's voice to a bright and cheerful tone. Also, if the user says, "I like calm voices," the character generation unit can customize the AI ​​idol's voice to a calm tone. Also, the character generation unit can customize the character's voice and speaking style to suit the user's preferences. This allows the character's voice and speaking style to be customized to suit the user's preferences, thereby providing more personalized dialogue.

[0037] The character generation unit can set the character to have specific skills or knowledge based on the user's hobbies or interests. For example, if the user says, "I like music," the character generation unit can give the AI ​​idol a skill such as, "I like music too, and I can play the guitar." Also, if the user says, "I like cooking," the character generation unit can give the AI ​​idol knowledge such as, "I like cooking too, and I know a lot of recipes." Also, the character generation unit can set the character to have specific skills and knowledge based on the user's hobbies and interests. This allows the character to have specific skills and knowledge based on the user's hobbies and interests, thereby providing more engaging dialogue.

[0038] The character generation unit allows the character to provide advice or support tailored to the user's lifestyle. For example, if the user says, "I'm not good at getting up early in the morning," the character generation unit can provide advice such as, "I'll teach you the tricks to getting up early." Also, if the user says, "I often stay up late," the character generation unit can provide support such as, "I'll teach you ways to stay up late less." Also, the character generation unit allows the character to provide advice and support tailored to the user's lifestyle. This allows the character to support the user's life by providing advice and support tailored to the user's lifestyle.

[0039] The event providing unit can provide different characters or storylines for each event, thereby maintaining the user's interest. For example, in a Christmas event, the event providing unit can have an AI idol dressed in a Santa Claus costume and converse with the user on topics related to Christmas. In addition, in a Halloween event, the event providing unit can have an AI idol dressed in a Halloween costume and converse with the user on topics related to Halloween. In addition, the event providing unit can provide different characters and storylines for each event, thereby maintaining the user's interest. In this way, by providing different characters and storylines for each event, the user's interest can be maintained.

[0040] The event providing unit can set benefits or rewards that a user can receive by participating in an event, thereby increasing the user's motivation to participate. For example, the event providing unit can allow a user to receive limited digital items or a special message by participating in a Christmas event. The event providing unit can also allow a user to receive limited digital items or a special message by participating in a Halloween event. The event providing unit can also set benefits or rewards that a user can receive by participating in an event, thereby increasing the user's motivation to participate. In this way, by setting benefits or rewards that a user can receive by participating in an event, the user's motivation to participate can be increased.

[0041] The event providing unit can provide a function that allows a user to plan an event by himself / herself and share it with other users. For example, the event providing unit can allow a user to plan a Christmas party by himself / herself and share it with other users. The event providing unit can also allow a user to plan a Halloween party by himself / herself and share it with other users. The event providing unit can also provide a function that allows a user to plan an event by himself / herself and share it with other users. By providing a function that allows a user to plan an event by himself / herself and share it with other users, it is possible to increase the user's motivation to participate.

[0042] The event providing unit can add a function that allows a user to interact with other users in real time during an event. For example, the event providing unit can provide a function that allows a user to interact with other users through chat or video call during a Christmas event. The event providing unit can also provide a function that allows a user to interact with other users through chat or video call during a Halloween event. The event providing unit can also add a function that allows a user to interact with other users in real time during an event. By adding a function that allows a user to interact with other users in real time during an event, the enjoyment of the event can be increased.

[0043] The dialogue unit can predict the next dialogue scenario based on the content of the user's dialogue, thereby realizing a smooth dialogue. For example, when the user asks, "What did you do today?", the dialogue unit predicts a scenario such as "I was practicing a new song today" and responds accordingly. Also, when the user asks, "How are you doing lately?", the dialogue unit can predict a scenario such as "I've been busy lately, but it's fun" and respond accordingly. Also, the dialogue unit can predict the next dialogue scenario based on the content of the user's dialogue, thereby realizing a smooth dialogue. In this way, by predicting the next dialogue scenario based on the content of the user's dialogue, a smooth dialogue can be realized.

[0044] The dialogue unit can provide a function that allows a user to link with other applications or services during a dialogue. For example, the dialogue unit can link with a music app during a dialogue, and the AI ​​idol can suggest, "Let's listen to this song together." The dialogue unit can also link with a messaging app during a dialogue, and the AI ​​idol can suggest, "Let's send this message to a friend." The dialogue unit can also provide a function that allows a user to link with other applications or services during a dialogue. This can broaden the scope of dialogue by providing a function that allows a user to link with other applications or services during a dialogue.

[0045] The dialogue unit can enable a user to use a translation function in real time during a dialogue. For example, if a user speaks in a foreign language during a dialogue, the dialogue unit causes the AI ​​dollar to translate and respond in real time. Also, if a user inputs text in a foreign language during a dialogue, the dialogue unit can cause the AI ​​dollar to translate and respond in real time. Also, the dialogue unit can enable a user to use a translation function in real time during a dialogue. This allows a user to use the translation function in real time during a dialogue, thereby enabling a dialogue with users who speak different languages.

[0046] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0047] The character generation unit can suggest fashion and accessories that match the user's preferences. For example, if the user says, "I like casual clothes," the AI ​​doll can suggest something like, "How about this casual outfit?" Or, if the user says, "I like elegant accessories," the AI ​​doll can suggest something like, "How about this elegant accessory?" This allows the AI ​​doll to provide a more personalized experience by suggesting fashion and accessories that match the user's preferences.

[0048] The event providing unit can provide a function that allows a user to plan an event by himself / herself and share it with other users. For example, a user can plan a Christmas party by himself / herself and share it with other users. Also, a user can plan a Halloween party by himself / herself and share it with other users. By providing a function that allows a user to plan an event by himself / herself and share it with other users, it is possible to increase the user's motivation to participate.

[0049] The dialogue unit can analyze images and videos sent by users and generate dialogue based on them. For example, if a user sends a photo of their pet, the AI ​​dollar can start a dialogue by saying, "What a cute cat! What's its name?" Or, if a user sends a photo of a trip, the AI ​​dollar can start a dialogue by saying, "What a lovely place! Where did you go?" This allows dialogue to be generated based on the images and videos sent by the user by analyzing them.

[0050] The dialogue unit can provide a function that allows users to link with other applications and services during a dialogue. For example, a user can link with a music app during a dialogue, and the AI ​​doll can suggest, "Let's listen to this song together." Also, a user can link with a messaging app during a dialogue, and the AI ​​doll can suggest, "Let's send this message to a friend." This allows users to expand the scope of dialogue by providing a function that allows users to link with other applications and services during a dialogue.

[0051] The character generation unit can customize the voice and speaking style of the character to suit the user's preferences. For example, if the user says, "I like bright voices," the AI ​​idol's voice can be customized to a bright and energetic tone. Also, if the user says, "I like calm voices," the AI ​​idol's voice can be customized to a calm tone. This allows the character's voice and speaking style to be customized to suit the user's preferences, making it possible to provide more personalized dialogue.

[0052] The character generation unit can set the character to have specific skills and knowledge based on the user's hobbies and interests. For example, if the user says, "I like music," the AI ​​idol will have the skill, "I like music too, and I can play the guitar." Or, if the user says, "I like cooking," the AI ​​idol can have the knowledge, "I like cooking too, and I know a lot of recipes." This allows the character to have specific skills and knowledge based on the user's hobbies and interests, providing more engaging conversations.

[0053] The processing flow of the first embodiment will be briefly explained below.

[0054] Step 1: The dialogue unit accepts user input. For example, it can accept text input, voice input, gesture input, etc. The dialogue unit can also process the user input in real time and pass it on to the next process. Step 2: The emotion analysis unit analyzes the user's input received by the dialogue unit. For example, it can perform voice analysis, text analysis, and facial expression analysis to estimate the user's emotions. The emotion analysis unit can also detect changes in the user's emotions in real time. Step 3: The character generation unit generates responses that reflect the unique character traits based on the results of the analysis by the emotion analysis unit. For example, responses that reflect the character's personality, speaking style, appearance, etc. can be generated. The character generation unit can also learn the user's past dialogue history and provide dialogue optimized for each individual user. Step 4: The event provider provides limited content based on special events or themes. For example, seasonal events or themes based on specific topics can be provided. The event provider can also customize the event content and themes according to the user's emotions.

[0055] (Example 2) A dialogue service according to an embodiment of the present invention is a system in which a generation AI accepts user input, analyzes the user's words and emotions, generates responses that reflect the user's unique character, and provides limited content based on special events or themes. This enables the dialogue service to strengthen the connection between the user and the AI ​​and provide an innovative digital entertainment experience.

[0056] The dialogue service according to the embodiment includes a dialogue unit, an emotion analysis unit, a character generation unit, and an event providing unit. The dialogue unit receives user input. For example, it can receive text input, voice input, gesture input, etc. The dialogue unit processes the user input in real time and passes it on to the next process. The emotion analysis unit analyzes the user input received by the dialogue unit. For example, it can perform voice analysis, text analysis, facial expression analysis, etc. to estimate the user's emotions. The emotion analysis unit can detect changes in the user's emotions in real time. The character generation unit generates responses that reflect unique character traits based on the results of the analysis by the emotion analysis unit. For example, it can generate responses that reflect the character's personality, speaking style, appearance, etc. The character generation unit can learn the user's past dialogue history and provide dialogue optimized for each individual user. The event providing unit provides limited content based on special events or themes. For example, it can provide seasonal events, themes based on specific topics, etc. The event providing unit can customize event content and themes according to the user's emotions. As a result, the dialogue service according to the embodiment can strengthen the connection between the user and the AI ​​and provide an innovative digital entertainment experience. For example, if the user says, "I'm tired today," the AI ​​dollar can respond by saying, "Good work! I'll play some relaxing music." Also, during special events, the AI ​​dollar can entertain the user with exclusive content.

[0057] The emotion analysis unit can analyze the tone or speed of the user's voice and detect changes in emotion in real time. For example, if the user's voice becomes higher and faster, the emotion analysis unit can respond by saying something like, "Did something exciting happen?". Also, if the user's voice becomes lower and slower, the emotion analysis unit can respond by saying something like, "Did something happen today?". Also, the emotion analysis unit can analyze the tone and speed of the user's voice and detect changes in emotion in real time. By analyzing the tone and speed of the user's voice, changes in emotion can be detected in real time.

[0058] The character generation unit can learn the user's past conversation history and provide conversations that are optimized for each individual user. For example, if the user has previously said, "I like cats," the AI ​​idol can provoke a topic in the form of, "Have you taken any pictures of cats recently?" If the user has previously said, "I like traveling," the character generation unit can also provoke a topic in the form of, "Have you traveled anywhere recently?" The character generation unit can also learn the user's past conversation history and provide conversations that are optimized for each individual user. By learning the user's past conversation history, it is possible to provide conversations that are optimized for each individual user.

[0059] The event providing unit can customize the event content or theme according to the user's emotions when providing limited content based on a special event or theme. For example, if the user says, "I'm happy today," the event providing unit can have the AI ​​idol suggest fun events or games. Also, if the user says, "I'm sad today," the event providing unit can have the AI ​​idol suggest relaxing events or content. Also, when providing limited content based on a special event or theme, the event providing unit can customize the event content or theme according to the user's emotions. This allows the user to customize the event content or theme according to their emotions, providing a more personalized experience.

[0060] The dialogue unit can capture the user's gestures or facial expressions with a camera, analyze them, and reflect them in the AI ​​doll's reaction. For example, if the user smiles at the camera, the AI ​​doll will respond with a smile and say something like, "It makes me happy to see your smile!". Also, if the user looks sad at the camera, the dialogue unit can have the AI ​​doll respond with something like, "What's wrong? Did something happen?" The dialogue unit can also capture the user's gestures and facial expressions with a camera, analyze them, and reflect them in the AI ​​doll's reaction. In this way, the analysis of the user's gestures and facial expressions can be reflected in the AI ​​doll's reaction.

[0061] The character generation unit can automatically generate background music or sound effects according to the user's emotions and adjust the atmosphere of the conversation. For example, if the user says, "I'm tired today," the character generation unit can respond by saying, "I'll play some relaxing music," while playing relaxing music in the background. Also, if the user says, "I'm happy today," the character generation unit can respond by saying, "That's great!" while playing upbeat music in the background. Also, the character generation unit can automatically generate background music and sound effects according to the user's emotions and adjust the atmosphere of the conversation. In this way, the atmosphere of the conversation can be adjusted by automatically generating background music and sound effects according to the user's emotions.

[0062] The dialogue unit can analyze images or videos sent by the user and generate a dialogue based on them. For example, if the user sends a photo of their pet, the dialogue unit can start a dialogue in the form of, "What a cute cat! What's its name?". Also, if the user sends a photo of their trip, the dialogue unit can start a dialogue in the form of, "What a lovely place! Where did you go?". The dialogue unit can also analyze images and videos sent by the user and generate a dialogue based on them. This makes it possible to generate a dialogue based on the images and videos sent by the user by analyzing them.

[0063] The character generation unit can suggest fashion or accessories that match the user's preferences. For example, if the user says, "I like casual clothes," the character generation unit can make a suggestion in the form of, "How about this casual outfit?". Also, if the user says, "I like elegant accessories," the character generation unit can make a suggestion in the form of, "How about this elegant accessory?". Also, the character generation unit can suggest fashion and accessories that match the user's preferences. This makes it possible to provide a more personalized experience by suggesting fashion and accessories that match the user's preferences.

[0064] The character generation unit can change the facial expression or movement of the avatar in real time according to the user's emotions. For example, if the user says, "I'm happy today," the character generation unit can make the AI ​​idol avatar smile and move cheerfully. Also, if the user says, "I'm sad today," the character generation unit can make the AI ​​idol avatar show a sad expression and move calmly. Also, the character generation unit can change the facial expression and movement of the avatar in real time according to the user's emotions. This allows for more natural conversations by changing the avatar's facial expression and movement in real time according to the user's emotions.

[0065] The emotion analysis unit can generate appropriate questions based on the user's input and deepen the dialogue. For example, if the user says, "Work was hard today," the emotion analysis unit can generate a question in the form of, "What kind of work did you do?". Also, if the user says, "Today was fun," the emotion analysis unit can generate a question in the form of, "What did you enjoy doing?". Also, the emotion analysis unit can generate appropriate questions based on the user's input and deepen the dialogue. In this way, the dialogue can be deepened by generating appropriate questions based on the user's input.

[0066] The emotion analysis unit can use the emotion estimation function to suggest relaxation methods or stress relief methods according to the user's emotions. For example, if the user says, "I'm tired today," the emotion analysis unit can suggest, "I'll play some relaxing music." Also, if the user says, "I'm stressed today," the emotion analysis unit can suggest, "Try taking a deep breath." Also, the emotion analysis unit can use the emotion estimation function to suggest relaxation methods or stress relief methods according to the user's emotions. This allows for psychological support for the user by suggesting relaxation methods or stress relief methods according to the user's emotions.

[0067] The sentiment analysis unit can analyze the user's input content and provide related news or topics. For example, if the user says, "I want to know about new technology today," the AI ​​idol can respond by saying, "I'll introduce you to the latest technology news." Also, if the user says, "I want to know about entertainment topics today," the AI ​​idol can respond by saying, "I'll introduce you to the latest entertainment news." Also, the sentiment analysis unit can analyze the user's input content and provide related news or topics. By analyzing the user's input content, related news or topics can be provided.

[0068] The emotion analysis unit can use the emotion estimation function to suggest cooking recipes or ingredients according to the user's emotions. For example, if the user says, "I'm tired today," the emotion analysis unit can respond by saying, "I'll suggest a dish that's easy to make and relaxing." Also, if the user says, "I'm not feeling well today," the emotion analysis unit can suggest a dish that's packed with nutrition. The emotion analysis unit can also use the emotion estimation function to suggest cooking recipes and ingredients according to the user's emotions. This can support the user's diet by suggesting cooking recipes and ingredients according to the user's emotions.

[0069] The character generation unit can create a detailed backstory or setting for the character and reflect it in the dialogue. For example, the character generation unit can give an AI idol a backstory such as "I've loved singing since I was little" and reflect that in the dialogue with the user. The character generation unit can also give an AI idol a setting such as "I love traveling and have visited many countries" and reflect that in the dialogue with the user. The character generation unit can also create a detailed backstory or setting for the character and reflect that in the dialogue. By creating a detailed backstory or setting for the character, more engaging dialogue can be provided.

[0070] The character generation unit can customize the voice or speaking style of the character to suit the user's preferences. For example, if the user says, "I like bright voices," the character generation unit can customize the AI ​​idol's voice to a bright and cheerful tone. Also, if the user says, "I like calm voices," the character generation unit can customize the AI ​​idol's voice to a calm tone. Also, the character generation unit can customize the character's voice and speaking style to suit the user's preferences. This allows the character's voice and speaking style to be customized to suit the user's preferences, thereby providing more personalized dialogue.

[0071] The character generation unit can use the emotion estimation function to make the character speak or take specific actions in accordance with the user's emotions. For example, if the user says, "I'm happy today," the character generation unit can make the AI ​​idol respond with a positive comment such as, "That's great!". Also, if the user says, "I'm sad today," the character generation unit can make the AI ​​idol respond with, "What's wrong? Did something happen?". The character generation unit can also use the emotion estimation function to make the character speak or take specific actions in accordance with the user's emotions. This allows the character to speak or take specific actions in accordance with the user's emotions, resulting in more natural dialogue.

[0072] The character generation unit can set the character to have specific skills or knowledge based on the user's hobbies or interests. For example, if the user says, "I like music," the character generation unit can give the AI ​​idol a skill such as, "I like music too, and I can play the guitar." Also, if the user says, "I like cooking," the character generation unit can give the AI ​​idol knowledge such as, "I like cooking too, and I know a lot of recipes." Also, the character generation unit can set the character to have specific skills and knowledge based on the user's hobbies and interests. This allows the character to have specific skills and knowledge based on the user's hobbies and interests, thereby providing more engaging dialogue.

[0073] The character generation unit allows the character to provide advice or support tailored to the user's lifestyle. For example, if the user says, "I'm not good at getting up early in the morning," the character generation unit can provide advice such as, "I'll teach you the tricks to getting up early." Also, if the user says, "I often stay up late," the character generation unit can provide support such as, "I'll teach you ways to stay up late less." Also, the character generation unit allows the character to provide advice and support tailored to the user's lifestyle. This allows the character to support the user's life by providing advice and support tailored to the user's lifestyle.

[0074] The character generation unit uses the emotion estimation function to enable the character to suggest specific events or activities according to the user's emotions. For example, if the user says, "I'm happy today," the character generation unit can have the AI ​​idol suggest an event such as, "Let's play a fun game together!". Also, if the user says, "I'm sad today," the character generation unit can have the AI ​​idol suggest an event such as, "Let's do a relaxing activity." Also, the character generation unit uses the emotion estimation function to enable the character to suggest specific events or activities according to the user's emotions. This allows the character to suggest specific events or activities according to the user's emotions, thereby providing a more personalized experience.

[0075] The event providing unit can provide different characters or storylines for each event, thereby maintaining the user's interest. For example, in a Christmas event, the event providing unit can have an AI idol dressed in a Santa Claus costume and converse with the user on topics related to Christmas. In addition, in a Halloween event, the event providing unit can have an AI idol dressed in a Halloween costume and converse with the user on topics related to Halloween. In addition, the event providing unit can provide different characters and storylines for each event, thereby maintaining the user's interest. In this way, by providing different characters and storylines for each event, the user's interest can be maintained.

[0076] The event providing unit can set benefits or rewards that a user can receive by participating in an event, thereby increasing the user's motivation to participate. For example, the event providing unit can allow a user to receive limited digital items or a special message by participating in a Christmas event. The event providing unit can also allow a user to receive limited digital items or a special message by participating in a Halloween event. The event providing unit can also set benefits or rewards that a user can receive by participating in an event, thereby increasing the user's motivation to participate. In this way, by setting benefits or rewards that a user can receive by participating in an event, the user's motivation to participate can be increased.

[0077] The event providing unit can use the emotion estimation function to customize the event content or theme according to the user's emotions. For example, if the user says, "I'm happy today," the event providing unit can have the AI ​​idol suggest fun events or games. Also, if the user says, "I'm sad today," the event providing unit can have the AI ​​idol suggest relaxing events or content. Also, the event providing unit can use the emotion estimation function to customize the event content and theme according to the user's emotions. This allows the user to customize the event content and theme according to their emotions, providing a more personalized experience.

[0078] The event providing unit can provide a function that allows a user to plan an event by himself / herself and share it with other users. For example, the event providing unit can allow a user to plan a Christmas party by himself / herself and share it with other users. The event providing unit can also allow a user to plan a Halloween party by himself / herself and share it with other users. The event providing unit can also provide a function that allows a user to plan an event by himself / herself and share it with other users. By providing a function that allows a user to plan an event by himself / herself and share it with other users, it is possible to increase the user's motivation to participate.

[0079] The event providing unit can add a function that allows a user to interact with other users in real time during an event. For example, the event providing unit can provide a function that allows a user to interact with other users through chat or video call during a Christmas event. The event providing unit can also provide a function that allows a user to interact with other users through chat or video call during a Halloween event. The event providing unit can also add a function that allows a user to interact with other users in real time during an event. By adding a function that allows a user to interact with other users in real time during an event, the enjoyment of the event can be increased.

[0080] The event providing unit can use the emotion estimation function to adjust the progress or content of the event in real time according to the user's emotions. For example, if the user says, "I'm happy today," the event providing unit can have the AI ​​idol suggest fun events or games and adjust the progress. Also, if the user says, "I'm sad today," the event providing unit can have the AI ​​idol suggest relaxing events or content and adjust the progress. Also, the event providing unit can use the emotion estimation function to adjust the progress or content of the event in real time according to the user's emotions. This allows the user to provide a more personalized event experience by adjusting the progress or content of the event in real time according to the user's emotions.

[0081] The dialogue unit can predict the next dialogue scenario based on the content of the user's dialogue, thereby realizing a smooth dialogue. For example, when the user asks, "What did you do today?", the dialogue unit predicts a scenario such as "I was practicing a new song today" and responds accordingly. Also, when the user asks, "How are you doing lately?", the dialogue unit can predict a scenario such as "I've been busy lately, but it's fun" and respond accordingly. Also, the dialogue unit can predict the next dialogue scenario based on the content of the user's dialogue, thereby realizing a smooth dialogue. In this way, by predicting the next dialogue scenario based on the content of the user's dialogue, a smooth dialogue can be realized.

[0082] The dialogue unit can use the emotion estimation function to adjust the tone or content of the dialogue in real time according to the user's emotions. For example, if the user says, "I'm happy today," the dialogue unit can have the AI ​​doll respond in a bright tone with, "That's great!". Alternatively, if the user says, "I'm sad today," the dialogue unit can have the AI ​​doll respond in a calm tone with, "What's wrong? Did something happen?" The dialogue unit can also use the emotion estimation function to adjust the tone and content of the dialogue in real time according to the user's emotions. This allows for more natural dialogue by adjusting the tone and content of the dialogue in real time according to the user's emotions.

[0083] The dialogue unit can provide a function that allows a user to link with other applications or services during a dialogue. For example, the dialogue unit can link with a music app during a dialogue, and the AI ​​idol can suggest, "Let's listen to this song together." The dialogue unit can also link with a messaging app during a dialogue, and the AI ​​idol can suggest, "Let's send this message to a friend." The dialogue unit can also provide a function that allows a user to link with other applications or services during a dialogue. This can broaden the scope of dialogue by providing a function that allows a user to link with other applications or services during a dialogue.

[0084] The dialogue unit can enable a user to use a translation function in real time during a dialogue. For example, if a user speaks in a foreign language during a dialogue, the dialogue unit causes the AI ​​dollar to translate and respond in real time. Also, if a user inputs text in a foreign language during a dialogue, the dialogue unit can cause the AI ​​dollar to translate and respond in real time. Also, the dialogue unit can enable a user to use a translation function in real time during a dialogue. This allows a user to use the translation function in real time during a dialogue, thereby enabling a dialogue with users who speak different languages.

[0085] The dialogue unit can use the emotion estimation function to adjust the progress or content of the dialogue in real time according to the user's emotions. For example, if the user says, "I'm happy today," the dialogue unit can have the AI ​​idol suggest a fun topic to continue the dialogue. Also, if the user says, "I'm sad today," the dialogue unit can have the AI ​​idol suggest a relaxing topic to continue the dialogue. Also, the dialogue unit can use the emotion estimation function to adjust the progress or content of the dialogue in real time according to the user's emotions. This allows for more natural dialogue by adjusting the progress or content of the dialogue in real time according to the user's emotions.

[0086] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0087] The dialogue unit not only accepts user input, but also analyzes the tone and speed of the user's voice to detect changes in emotion in real time. For example, if the user is excited, the dialogue unit can respond with something like, "Did something good happen?". If the user is depressed, the dialogue unit can also respond with something like, "What's wrong? Did something happen?" By analyzing the tone and speed of the user's voice, changes in emotion can be detected in real time, enabling more natural dialogue.

[0088] The character generation unit can suggest fashion and accessories that match the user's preferences. For example, if the user says, "I like casual clothes," the AI ​​doll can suggest something like, "How about this casual outfit?" Or, if the user says, "I like elegant accessories," the AI ​​doll can suggest something like, "How about this elegant accessory?" This allows the AI ​​doll to provide a more personalized experience by suggesting fashion and accessories that match the user's preferences.

[0089] The event providing unit can provide a function that allows a user to plan an event by himself / herself and share it with other users. For example, a user can plan a Christmas party by himself / herself and share it with other users. Also, a user can plan a Halloween party by himself / herself and share it with other users. By providing a function that allows a user to plan an event by himself / herself and share it with other users, it is possible to increase the user's motivation to participate.

[0090] The dialogue unit can analyze images and videos sent by users and generate dialogue based on them. For example, if a user sends a photo of their pet, the AI ​​dollar can start a dialogue by saying, "What a cute cat! What's its name?" Or, if a user sends a photo of a trip, the AI ​​dollar can start a dialogue by saying, "What a lovely place! Where did you go?" This allows dialogue to be generated based on the images and videos sent by the user by analyzing them.

[0091] The character generation unit can automatically generate background music and sound effects according to the user's emotions and adjust the atmosphere of the conversation. For example, if the user says, "I'm tired today," the character generation unit can respond, "I'll play some relaxing music," while playing relaxing music in the background. Also, if the user says, "I'm happy today," the character generation unit can respond, "That's great!" while playing upbeat music in the background. In this way, the atmosphere of the conversation can be adjusted by automatically generating background music and sound effects according to the user's emotions.

[0092] The dialogue unit can provide a function that allows users to link with other applications and services during a dialogue. For example, a user can link with a music app during a dialogue, and the AI ​​doll can suggest, "Let's listen to this song together." Also, a user can link with a messaging app during a dialogue, and the AI ​​doll can suggest, "Let's send this message to a friend." This allows users to expand the scope of dialogue by providing a function that allows users to link with other applications and services during a dialogue.

[0093] The character generation unit can customize the voice and speaking style of the character to suit the user's preferences. For example, if the user says, "I like bright voices," the AI ​​idol's voice can be customized to a bright and energetic tone. Also, if the user says, "I like calm voices," the AI ​​idol's voice can be customized to a calm tone. This allows the character's voice and speaking style to be customized to suit the user's preferences, making it possible to provide more personalized dialogue.

[0094] The emotion analysis unit can generate appropriate questions based on the user's input and deepen the dialogue. For example, if the user says, "Work was hard today," the AI ​​doll can generate a question in the form of, "What kind of work did you do?". Also, if the user says, "Today was fun," the AI ​​doll can generate a question in the form of, "What did you enjoy doing?" This allows the dialogue to be deepened by generating appropriate questions based on the user's input.

[0095] The character generation unit can set the character to have specific skills and knowledge based on the user's hobbies and interests. For example, if the user says, "I like music," the AI ​​idol will have the skill, "I like music too, and I can play the guitar." Or, if the user says, "I like cooking," the AI ​​idol can have the knowledge, "I like cooking too, and I know a lot of recipes." This allows the character to have specific skills and knowledge based on the user's hobbies and interests, providing more engaging conversations.

[0096] The character generation unit can use the emotion estimation function to make the character speak or act in a specific way according to the user's emotions. For example, if the user says, "I'm happy today," the AI ​​doll can respond with a positive line such as, "That's great!". Also, if the user says, "I'm sad today," the AI ​​doll can respond with, "What's wrong? Did something happen?" This allows the character to speak or act in a specific way according to the user's emotions, resulting in more natural conversations.

[0097] The processing flow of the second embodiment will be briefly explained below.

[0098] Step 1: The dialogue unit accepts user input. For example, it can accept text input, voice input, gesture input, etc. The dialogue unit can also process the user input in real time and pass it on to the next process. Step 2: The emotion analysis unit analyzes the user's input received by the dialogue unit. For example, it can perform voice analysis, text analysis, and facial expression analysis to estimate the user's emotions. The emotion analysis unit can also detect changes in the user's emotions in real time. Step 3: The character generation unit generates responses that reflect the unique character traits based on the results of the analysis by the emotion analysis unit. For example, responses that reflect the character's personality, speaking style, appearance, etc. can be generated. The character generation unit can also learn the user's past dialogue history and provide dialogue optimized for each individual user. Step 4: The event provider provides limited content based on special events or themes. For example, seasonal events or themes based on specific topics can be provided. The event provider can also customize the event content and themes according to the user's emotions.

[0099] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0100] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0101] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0102] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0103] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0104] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0105] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0106] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0107] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0108] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0109] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0110] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0111] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0112] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0113] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0114] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0115] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0116] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0117] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0118] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0119] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0120] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0121] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0122] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0123] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0124] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0125] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0126] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0127] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0128] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0129] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0130] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0131] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0132] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0133] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0134] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0135] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0136] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0137] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0138] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0139] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0140] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0141] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0142] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0143] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0144] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0145] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0146] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0147] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0148] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0149] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0150] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0151] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0152] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0153] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0154] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0155] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0156] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0157] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0158] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0159] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0160] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0161] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0162] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0163] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0164] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0165] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0166] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a dialogue unit that accepts user input; an emotion analysis unit that analyzes the user input received by the dialogue unit; a character generation unit that generates a response that reflects a unique character based on the analysis result by the emotion analysis unit; An event providing unit that provides limited content based on a special event or theme. A system characterized by:

2. The emotion analysis unit Analyzing the tone or rate of the user's voice to detect emotional changes in real time.

2. The system of claim 1.

3. The character generation unit Learning the user's past interaction history and providing an optimized interaction for each individual user 2. The system of claim 1.

4. The event providing unit When providing limited content based on a special event or theme, customize the event content or theme according to the user's emotions.

2. The system of claim 1.

5. The dialogue unit The user's gestures or facial expressions are captured by a camera, analyzed, and reflected in the AI ​​dollar's response.

2. The system of claim 1.

6. The character generation unit Changing the facial expression or movement of the avatar in real time according to the emotion of the user 2. The system of claim 1.

7. The character generation unit The character will then say or do certain things depending on the user's emotions.

2. The system of claim 1.

8. The dialogue unit Adjusting the tone or content of the dialogue in real time according to the emotions of the user 2. The system of claim 1.

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