System

Abstract

An object of a system according to an embodiment is to enrich the life of a user through interaction with an animation character and life support.SOLUTION: A system according to an embodiment includes an ending setting unit, a voice generation unit, an automatic conversation unit, a name calling unit, a health check unit, a face authentication unit, a home appliance operation unit, and a character providing unit. The word ending setting unit sets a word ending. The voice generation unit generates a voice using the suffix set by the suffix setting unit. The automatic conversation unit automatically performs a conversation using the voice generated by the voice generation unit. The name calling unit calls a name in the conversation performed by the automatic conversation unit. The health check unit checks the physical condition of the user based on the name called by the name calling unit. The face authentication unit performs face authentication based on the physical condition checked by the health check unit. The home appliance operation unit operates the home appliance based on the face authenticated by the face authentication unit. The character providing unit provides a character based on the home appliance operated by the home appliance operation unit.SELECTED DRAWING: Figure 1

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 do not adequately provide systems that allow users to interact with anime characters or provide support for daily life, and there is room for improvement.

[0005] The system according to the embodiment aims to enrich the user's life through dialogue with and life support for anime characters. [Means for solving the problem]

[0006] The system according to the embodiment includes a word ending setting unit, a voice generation unit, an automatic conversation unit, a name calling unit, a health check unit, a face authentication unit, a home appliance operation unit, and a character providing unit. The word ending setting unit sets word endings. The voice generation unit generates voice using the word endings set by the word ending setting unit. The automatic conversation unit automatically carries out a conversation using the voice generated by the voice generation unit. The name calling unit calls the user's name in the conversation carried out by the automatic conversation unit. The health check unit checks the user's physical condition based on the name called by the name calling unit. The face authentication unit performs face authentication based on the physical condition checked by the health check unit. The home appliance operation unit operates the home appliance based on the face authenticated by the face authentication unit. The character providing unit provides a character based on the home appliance operated by the home appliance operation unit. [Effects of the Invention]

[0007] The system according to the embodiment can enrich the user's life through dialogue with and life support for anime characters. [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 robot system according to an embodiment of the present invention is a system for supporting married life between a human and an anime character. This system creates an anime character robot and equips it with a conversation function using a generation AI to make married life more enjoyable. This allows the robot system to support married life between a human and an anime character, making it more enjoyable and fulfilling.

[0029] A robot system according to an embodiment includes a word ending setting unit, a voice generation unit, an automatic conversation unit, a name calling unit, a health check unit, a face authentication unit, a home appliance operation unit, and a character provision unit. The word ending setting unit allows a user to freely set the endings of an anime character's words. For example, the word ending setting unit can set endings that match the character's personality, such as "That's...", "That's...", or "That's...", etc. The word ending setting unit can also automatically change the endings according to the user's emotional state using a generation AI. The voice generation unit generates voice using the endings set by the word ending setting unit. For example, the voice generation unit provides a realistic conversation experience by using voices actually provided by voice actors of anime characters. The voice generation unit can also adjust the tone and pitch of the voice according to the user's preferences. The automatic conversation unit automatically conducts conversations using the voice generated by the voice generation unit. For example, the automatic conversation unit has a function that automatically starts speaking to the user if the user does not speak for a certain period of time. The name calling unit calls the user's name during conversations conducted by the automatic conversation unit. For example, the name calling unit allows the generation AI to memorize the user's name and call the user by that name during conversation, enhancing a sense of familiarity. The health check unit checks the user's physical condition based on the name called by the name calling unit. For example, the health check unit uses the generation AI to check the user's physical condition through conversation, measuring the tone of speech and body temperature using a thermography camera. The face recognition unit performs face recognition based on the physical condition checked by the health check unit. For example, if the face recognition unit recognizes the user's face again after a certain period of time has passed after the user says "I'm leaving," it provides a function such as "Welcome home." The home appliance operation unit controls home appliances based on the face recognized by the face recognition unit. For example, the home appliance operation unit is equipped with a function to control home appliances such as air conditioners and lights. The character providing unit provides characters based on the home appliances operated by the home appliance operation unit. For example, the character providing unit provides robots of various characters, including not only anime characters but also fictional actors and actresses. As a result, the robot system according to the embodiment can support married life between humans and anime characters, making it more enjoyable and fulfilling.For example, users can enjoy realistic conversations with their favorite anime characters, and the app also supports daily life such as health management and home appliance operation. This is expected to promote understanding of marriage between humans and anime characters and acceptance of diversity.

[0030] The robot system includes a speech ending setting unit that allows users to customize not only speech endings but also tone and speed. The speech ending setting unit provides an interface that allows users to customize not only speech endings but also tone and speed of speech. For example, by raising the tone or slowing down the speed, the character's individuality can be emphasized. This allows users to customize the speech style to suit their preferences.

[0031] The robot system is equipped with a voice generation unit that not only uses the voice of a voice actor but also allows the user to adjust the tone and pitch according to their preferences. For example, the voice generation unit not only uses the voice of a voice actor but also adds a function that allows the user to freely adjust the tone and pitch of the voice. For example, by raising or lowering the voice, the individuality of the character can be emphasized. This makes it possible to customize the voice to suit the user's preferences.

[0032] The robot system includes an automatic conversation unit that proposes personalized topics based on the user's past conversation history. The automatic conversation unit, for example, analyzes the user's past conversation history and builds a system that proposes personalized topics. For example, it proposes topics based on the user's previously mentioned hobbies and interests. This makes it possible to propose personalized topics based on the user's past conversation history.

[0033] The robot system includes a health check unit that provides personalized health advice based on the user's past health data. The health check unit, for example, analyzes the user's past health data and builds a system that provides personalized health advice. For example, it provides advice on appropriate exercise and diet based on past body temperature and heart rate data. This makes it possible to provide personalized health advice based on the user's past health data.

[0034] The robot system includes a home appliance operation unit that provides personalized operation suggestions based on the user's past usage history. The home appliance operation unit, for example, analyzes the user's past home appliance usage history and builds a system that provides personalized operation suggestions. For example, the unit can automatically turn on the air conditioner during the time period that the user frequently uses the appliance. This makes it possible to provide personalized operation suggestions based on the user's past usage history.

[0035] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0036] The robot system is equipped with a schedule management unit that assists users in managing their schedules. For example, it can automatically organize the user's schedule and remind them of important events and tasks. It can also suggest optimal schedules based on the user's past schedule history. This improves the efficiency of users' schedule management and allows them to use their time more effectively.

[0037] The robot system is equipped with a hobby suggestion unit that provides recommendations based on the user's hobbies and interests. For example, it can suggest movies and books that the user likes, or suggest activities to help the user discover new hobbies. It can also make optimal suggestions based on the user's past hobby history. This allows the robot system to provide recommendations based on the user's hobbies and interests, enabling the user to enjoy fulfilling leisure time.

[0038] The robot system is equipped with a sleep management unit to improve the quality of the user's sleep. For example, it can analyze the user's sleep patterns and suggest an optimal sleeping environment. It can also suggest areas for improvement based on the user's past sleep data. This improves the user's sleep quality and leads to a healthier lifestyle.

[0039] The robot system is equipped with a learning support unit that supports the user's learning. For example, it can suggest learning materials and resources that correspond to the content the user wants to learn. It can also suggest an optimal learning plan based on the user's past learning history. This improves the user's learning efficiency and realizes effective learning.

[0040] The robot system is equipped with a travel suggestion unit that assists users in planning their trips. For example, it can suggest travel destinations and activities based on the user's preferences. It can also suggest optimal travel plans based on the user's past travel history. This makes travel planning more efficient for users, resulting in a more fulfilling travel experience.

[0041] The processing flow of the first embodiment will be briefly explained below.

[0042] Step 1: The ending setting unit allows users to freely set endings for anime characters. For example, endings can be set to match the character's personality, such as "It's ~," "It's ~," or "It's ~." Generative AI can also be used to automatically change endings depending on the user's emotional state. Step 2: The voice generator generates voice using the endings set by the ending setting unit. For example, by using the voice of an actual voice actor for an anime character, a realistic conversation experience is provided. The tone and pitch of the voice can also be adjusted according to the user's preferences. Step 3: The automatic conversation unit automatically uses the voice generated by the voice generation unit to hold a conversation. For example, if the user does not speak for a certain period of time, the AI ​​will automatically start speaking. Step 4: The name calling unit calls the user's name during the conversation conducted by the automatic conversation unit. For example, the generation AI memorizes the user's name and calls them by name during the conversation to increase familiarity. Step 5: The health check unit checks the user's physical condition based on the name called by the name calling unit. For example, the generation AI checks the user's physical condition through conversation, measuring the tone of speech and body temperature using a thermographic camera. Step 6: The face authentication unit performs face authentication based on the physical condition checked by the health check unit. For example, if the user says "I'm leaving," and face authentication is performed again after a certain time has passed, a function such as "Welcome back" can be provided. Step 7: The home appliance operation unit operates the home appliance based on the face recognized by the face recognition unit. For example, it is equipped with a function to operate home appliances such as air conditioners and lights. Step 8: The character providing unit provides a character based on the appliance operated by the appliance operating unit. For example, it provides robots of various characters, such as anime characters, as well as fictional actors and actresses.

[0043] (Example 2) A robot system according to an embodiment of the present invention is a system for supporting married life between a human and an anime character. This system creates an anime character robot and equips it with a conversation function using a generation AI to make married life more enjoyable. This allows the robot system to support married life between a human and an anime character, making it more enjoyable and fulfilling.

[0044] A robot system according to an embodiment includes a word ending setting unit, a voice generation unit, an automatic conversation unit, a name calling unit, a health check unit, a face authentication unit, a home appliance operation unit, and a character provision unit. The word ending setting unit allows a user to freely set the endings of an anime character's words. For example, the word ending setting unit can set endings that match the character's personality, such as "That's...", "That's...", or "That's...", etc. The word ending setting unit can also automatically change the endings according to the user's emotional state using a generation AI. The voice generation unit generates voice using the endings set by the word ending setting unit. For example, the voice generation unit provides a realistic conversation experience by using voices actually provided by voice actors of anime characters. The voice generation unit can also adjust the tone and pitch of the voice according to the user's preferences. The automatic conversation unit automatically conducts conversations using the voice generated by the voice generation unit. For example, the automatic conversation unit has a function that automatically starts speaking to the user if the user does not speak for a certain period of time. The name calling unit calls the user's name during conversations conducted by the automatic conversation unit. For example, the name calling unit allows the generation AI to memorize the user's name and call the user by that name during conversation, enhancing a sense of familiarity. The health check unit checks the user's physical condition based on the name called by the name calling unit. For example, the health check unit uses the generation AI to check the user's physical condition through conversation, measuring the tone of speech and body temperature using a thermography camera. The face recognition unit performs face recognition based on the physical condition checked by the health check unit. For example, if the face recognition unit recognizes the user's face again after a certain period of time has passed after the user says "I'm leaving," it provides a function such as "Welcome home." The home appliance operation unit controls home appliances based on the face recognized by the face recognition unit. For example, the home appliance operation unit is equipped with a function to control home appliances such as air conditioners and lights. The character providing unit provides characters based on the home appliances operated by the home appliance operation unit. For example, the character providing unit provides robots of various characters, including not only anime characters but also fictional actors and actresses. As a result, the robot system according to the embodiment can support married life between humans and anime characters, making it more enjoyable and fulfilling.For example, users can enjoy realistic conversations with their favorite anime characters, and the app also supports daily life such as health management and home appliance operation. This is expected to promote understanding of marriage between humans and anime characters and acceptance of diversity.

[0045] The robot system includes a word ending setting unit that automatically changes word endings according to the user's emotional state. The word ending setting unit, for example, analyzes the user's emotional state in real time and changes word endings according to the emotion. For example, if the user is happy, the word endings are automatically adjusted to "~da ne" (That's right), and if the user is sad, the word endings are automatically adjusted to "~de gozaru" (That's right). This enables more personalized conversations by changing word endings according to the user's emotions.

[0046] The robot system includes a speech ending setting unit that allows users to customize not only speech endings but also tone and speed. The speech ending setting unit provides an interface that allows users to customize not only speech endings but also tone and speed of speech. For example, by raising the tone or slowing down the speed, the character's individuality can be emphasized. This allows users to customize the speech style to suit their preferences.

[0047] The robot system is equipped with a voice generation unit that not only uses the voice of a voice actor but also allows the user to adjust the tone and pitch according to their preferences. For example, the voice generation unit not only uses the voice of a voice actor but also adds a function that allows the user to freely adjust the tone and pitch of the voice. For example, by raising or lowering the voice, the individuality of the character can be emphasized. This makes it possible to customize the voice to suit the user's preferences.

[0048] The robot system includes an automatic conversation unit that proposes personalized topics based on the user's past conversation history. The automatic conversation unit, for example, analyzes the user's past conversation history and builds a system that proposes personalized topics. For example, it proposes topics based on the user's previously mentioned hobbies and interests. This makes it possible to propose personalized topics based on the user's past conversation history.

[0049] The robot system includes a name calling unit that calls the user's name in a tone and intonation that corresponds to the user's emotional state. The name calling unit uses, for example, an emotion estimation function to build a system that calls the user's name in a tone and intonation that corresponds to the user's emotional state. For example, the system calls the user's name in a bright tone when the user is happy and in a calm tone when the user is sad. This makes it possible to increase the sense of familiarity by calling the user's name in a tone and intonation that corresponds to the user's emotional state.

[0050] The robot system includes a health check unit that provides personalized health advice based on the user's past health data. The health check unit, for example, analyzes the user's past health data and builds a system that provides personalized health advice. For example, it provides advice on appropriate exercise and diet based on past body temperature and heart rate data. This makes it possible to provide personalized health advice based on the user's past health data.

[0051] The robot system includes a facial recognition unit that analyzes the user's emotional state in real time and provides a response based on that. The facial recognition unit uses, for example, an emotion estimation function to build a system that analyzes the user's emotional state in real time and provides a response based on that. For example, a cheerful response is provided when the user is happy, and an encouraging response is provided when the user is sad. This allows for a more personalized experience by providing a response based on the user's emotional state.

[0052] The robot system includes a home appliance operation unit that provides personalized operation suggestions based on the user's past usage history. The home appliance operation unit, for example, analyzes the user's past home appliance usage history and builds a system that provides personalized operation suggestions. For example, the unit can automatically turn on the air conditioner during the time period that the user frequently uses the appliance. This makes it possible to provide personalized operation suggestions based on the user's past usage history.

[0053] The robot system includes a character providing unit that analyzes the user's emotional state in real time and proposes characters accordingly. The character providing unit uses, for example, an emotion estimation function to analyze the user's emotional state in real time and constructs a system that proposes characters accordingly. For example, when the user is happy, a cheerful character is proposed. This makes it possible to propose characters according to the user's emotional state.

[0054] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0055] The robot system is equipped with a music provider that automatically selects background music according to the user's emotional state. For example, it can provide calming music when the user is relaxed, and uplifting music when the user is feeling down. It can also suggest music that matches the user's preferences based on the user's past music history. This provides a musical experience that matches the user's emotions, leading to a richer life.

[0056] The robot system is equipped with a lighting adjustment unit that automatically adjusts the color and brightness of lighting according to the user's emotional state. For example, it can provide soft warm light when the user is relaxed, or bright white light when the user wants to concentrate. It can also suggest lighting environments tailored to the user's preferences based on the user's past lighting setting history. This provides the optimal lighting environment according to the user's emotions, realizing a comfortable lifestyle.

[0057] The robot system is equipped with a scent provider that automatically adjusts the scent according to the user's emotional state. For example, it can provide a lavender scent when the user is relaxed, and a citrus scent when the user is feeling down. It can also suggest the most suitable scent based on the user's past scent preferences. This provides a scent experience that matches the user's emotions, realizing a richer life.

[0058] The robot system is equipped with a meal suggestion unit that suggests meal menus according to the user's emotional state. For example, if the user is tired, it can suggest nutritious meals, and if the user is feeling low, it can suggest meals that will lift their spirits. It can also suggest menus that match the user's preferences based on the user's past eating history. This allows the robot system to provide meal suggestions that correspond to the user's emotions, helping to achieve a healthy lifestyle.

[0059] The robot system is equipped with an exercise suggestion unit that suggests an exercise program according to the user's emotional state. For example, if the user is feeling stressed, the system can suggest relaxing yoga, and if the user is feeling low, it can suggest energetic exercise. The system can also suggest exercise programs tailored to the user's preferences based on the user's past exercise history. This allows the system to suggest exercises according to the user's emotions, helping to achieve a healthy lifestyle.

[0060] The robot system is equipped with a schedule management unit that assists users in managing their schedules. For example, it can automatically organize the user's schedule and remind them of important events and tasks. It can also suggest optimal schedules based on the user's past schedule history. This improves the efficiency of users' schedule management and allows them to use their time more effectively.

[0061] The robot system is equipped with a hobby suggestion unit that provides recommendations based on the user's hobbies and interests. For example, it can suggest movies and books that the user likes, or suggest activities to help the user discover new hobbies. It can also make optimal suggestions based on the user's past hobby history. This allows the robot system to provide recommendations based on the user's hobbies and interests, enabling the user to enjoy fulfilling leisure time.

[0062] The robot system is equipped with a sleep management unit to improve the quality of the user's sleep. For example, it can analyze the user's sleep patterns and suggest an optimal sleeping environment. It can also suggest areas for improvement based on the user's past sleep data. This improves the user's sleep quality and leads to a healthier lifestyle.

[0063] The robot system is equipped with a learning support unit that supports the user's learning. For example, it can suggest learning materials and resources that correspond to the content the user wants to learn. It can also suggest an optimal learning plan based on the user's past learning history. This improves the user's learning efficiency and realizes effective learning.

[0064] The robot system is equipped with a travel suggestion unit that assists users in planning their trips. For example, it can suggest travel destinations and activities based on the user's preferences. It can also suggest optimal travel plans based on the user's past travel history. This makes travel planning more efficient for users, resulting in a more fulfilling travel experience.

[0065] The processing flow of the second embodiment will be briefly explained below.

[0066] Step 1: The ending setting unit allows users to freely set endings for anime characters. For example, endings can be set to match the character's personality, such as "It's ~," "It's ~," or "It's ~." Generative AI can also be used to automatically change endings depending on the user's emotional state. Step 2: The voice generator generates voice using the endings set by the ending setting unit. For example, by using the voice of an actual voice actor for an anime character, a realistic conversation experience is provided. The tone and pitch of the voice can also be adjusted according to the user's preferences. Step 3: The automatic conversation unit automatically uses the voice generated by the voice generation unit to hold a conversation. For example, if the user does not speak for a certain period of time, the AI ​​will automatically start speaking. Step 4: The name calling unit calls the user's name during the conversation conducted by the automatic conversation unit. For example, the generation AI memorizes the user's name and calls them by name during the conversation to increase familiarity. Step 5: The health check unit checks the user's physical condition based on the name called by the name calling unit. For example, the generation AI checks the user's physical condition through conversation, measuring the tone of speech and body temperature using a thermographic camera. Step 6: The face authentication unit performs face authentication based on the physical condition checked by the health check unit. For example, if the user says "I'm leaving," and face authentication is performed again after a certain time has passed, a function such as "Welcome back" can be provided. Step 7: The home appliance operation unit operates the home appliance based on the face recognized by the face recognition unit. For example, it is equipped with a function to operate home appliances such as air conditioners and lights. Step 8: The character providing unit provides a character based on the appliance operated by the appliance operating unit. For example, it provides robots of various characters, such as anime characters, as well as fictional actors and actresses.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0071] 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.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] 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).

[0076] 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.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] 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.

[0082] 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.

[0083] 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.

[0084] 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.

[0085] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0086] 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.

[0087] 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.

[0088] 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.

[0089] 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.

[0090] 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).

[0091] 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.

[0092] 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.

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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).

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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).

[0120] 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.

[0121] 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."

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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]

[0134] 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 word ending setting unit that sets word endings; a speech generation unit that generates speech using the ending set by the ending setting unit; an automatic conversation unit that automatically conducts a conversation using the voice generated by the voice generation unit; a name calling unit that calls a name in a conversation carried out by the automatic conversation unit; a health check unit that checks the physical condition of the user based on the name called by the name calling unit; a face authentication unit that performs face authentication based on the physical condition checked by the health check unit; a home appliance operation unit that operates a home appliance based on the face authenticated by the face authentication unit; a character providing unit that provides a character based on the home appliance operated by the home appliance operating unit. A system characterized by:

2. The ending setting unit Automatically changing the endings depending on the emotional state of the user 2. The system of claim 1.

3. The voice generation unit Not only does it use the voice of the voice actor, but it also allows the user to adjust the tone and pitch according to their preferences.

2. The system of claim 1.

4. The automatic conversation unit Suggesting personalized topics based on the user's conversation history 2. The system of claim 1.

5. The health check unit Providing personalized health advice based on the user's past health data 2. The system of claim 1.

6. The face authentication unit Analyzing the emotional state of the user in real time and providing a response accordingly 2. The system of claim 1.

7. The home appliance operation unit includes: Providing personalized operation suggestions based on the user's usage history 2. The system of claim 1.

8. The character providing unit: Analyzing the user's emotional state in real time and providing character suggestions accordingly 2. The system of claim 1.

Images