System

Abstract

An object of a system according to an embodiment is to promote soft and enjoyable communication.SOLUTION: A system includes a virtual space provision part, an avatar generation part, and a communication mediation character generation part. The virtual space providing unit provides a virtual space. The avatar generation unit generates an avatar of the user in the virtual space provided by the virtual space providing unit. The communication mediating character generating unit generates a character that mediates communication in the virtual space.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 technology has been dominated by formal, business-like communication, and there has been a lack of means to promote more relaxed and enjoyable communication.

[0005] The system according to the embodiment aims to promote soft and fun communication. [Means for solving the problem]

[0006] The system according to the embodiment includes a virtual space providing unit, an avatar generating unit, and a communication intermediary character generating unit. The virtual space providing unit provides a virtual space. The avatar generating unit generates an avatar for a user in the virtual space provided by the virtual space providing unit. The communication intermediary character generating unit generates a character that mediates communication in the virtual space. [Effects of the Invention]

[0007] The system according to the embodiment can promote soft and fun communication. [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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[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 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[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) The communication system according to the embodiment of the present invention allows users to express their lifestyles using their favorite avatars in a virtual space, and a bot using AI facilitates communication between employees. This allows the communication system to promote warm and friendly communication rather than formal, business-like communication.

[0029] A communication system according to an embodiment includes a virtual space providing unit, an avatar generating unit, and a communication intermediary character generating unit. The virtual space providing unit provides a virtual space. For example, it may generate a 3D space using VR technology, allowing users to interact within the space. It may also use AR technology to overlay virtual elements onto the real world. Furthermore, the virtual space providing unit provides an environment in which users can freely move and interact with other users. For example, users may hold meetings or participate in events within the virtual space. The avatar generating unit generates a user's avatar within the virtual space provided by the virtual space providing unit. For example, it may use a generation AI to create an avatar that matches the user's appearance and hobbies. The avatar generating unit also provides a function that allows users to customize the avatar's appearance and clothing. For example, the user may change the avatar's hairstyle and clothing. Furthermore, the avatar generating unit has a function that reflects the user's movements and facial expressions in real time. For example, when the user smiles, the avatar also smiles. The communication intermediary character generating unit generates a character that mediates communication within the virtual space. For example, it may use a chat generation AI to create characters such as a CEO bot or an MC bot. The communication intermediary character generation unit also mediates user conversations and plays a role in livening up the atmosphere. For example, a CEO bot supports the progress of a meeting, and an MC bot acts as the host of an event. Furthermore, the communication intermediary character generation unit has the function of adjusting the content of the conversation according to the user's emotional state. For example, it provides calm topics when the user wants to relax. This allows the communication system according to the embodiment to allow users to enjoy casual communication in a virtual space. For example, users can enjoy casual conversations and talk about hobbies in the virtual space. Furthermore, users can easily communicate with colleagues even when working remotely.

[0030] The virtual space providing unit can realize haptic feedback in the virtual space, allowing the user to experience physical sensations. The virtual space providing unit, for example, uses special gloves or a suit to reproduce the sensation of touching an object in the virtual space. For example, when grabbing a ball in the virtual space, the user can feel its weight and texture. The virtual space providing unit also uses a device that provides haptic feedback to make interactions in the virtual space more realistic. For example, when opening a door in the virtual space, the user can feel the resistance. Furthermore, the virtual space providing unit uses haptic feedback to make games and training in the virtual space more effective. For example, during sports training in the virtual space, the user can experience sensations that are close to actual movements. This allows the user to experience physical sensations in the virtual space.

[0031] The virtual space providing unit can simulate environmental sounds and scents within the virtual space, providing an immersive experience that fully utilizes the five senses. For example, the virtual space providing unit generates environmental sounds in real time and changes them according to the situation within the virtual space. For example, in a forest within the virtual space, it reproduces the sounds of birds chirping and the wind. The virtual space providing unit also uses a device that simulates scents to make the experience within the virtual space more realistic. For example, in a cafe within the virtual space, the user can smell the aroma of coffee. Furthermore, the virtual space providing unit combines environmental sounds and scents to more realistically create events and scenes within the virtual space. For example, in a beach within the virtual space, it reproduces the sound of waves and the smell of the sea. This allows the user to experience an immersive experience within the virtual space that fully utilizes the five senses.

[0032] The virtual space providing unit can use the virtual space in educational and medical settings to support remote learning and remote medical treatment. The virtual space providing unit, for example, uses the virtual space to provide a place for remote learning. For example, a teacher and students may hold classes in a virtual classroom while communicating in real time. The virtual space providing unit also uses the virtual space to support remote medical treatment. For example, a doctor may meet with a patient in a virtual examination room to examine them and provide counseling. The virtual space providing unit also uses the virtual space to conduct medical training. For example, medical students may simulate surgery in a virtual operating room to acquire skills. This allows the virtual space to be used in educational and medical settings to support remote learning and remote medical treatment.

[0033] The virtual space providing unit can hold sporting events and concerts in the virtual space, allowing users to participate in them in real time. For example, the virtual space providing unit can hold sporting events in the virtual space, allowing users to watch them in real time. For example, watching a soccer match in a virtual stadium. The virtual space providing unit can also hold concerts in the virtual space, allowing users to participate in them in real time. For example, enjoying a live concert in a virtual hall. Furthermore, the virtual space providing unit can provide an interface for participating in events in the virtual space, allowing users to easily participate. For example, purchasing a virtual ticket to participate in an event. This allows sporting events and concerts to be held in the virtual space, allowing users to participate in them in real time.

[0034] The avatar generation unit synchronizes the avatar's movements and facial expressions with the user's movements in real time, enabling more natural communication. The avatar generation unit, for example, captures the user's facial expressions with a camera and reflects them in the avatar's facial expressions in real time. For example, when the user smiles, the avatar also smiles. The avatar generation unit also captures the user's movements using motion capture technology and reflects them in the avatar's movements in real time. For example, when the user waves their hand, the avatar does the same. Furthermore, the avatar generation unit analyzes the user's voice and reflects it in the avatar's mouth movements in real time. For example, when the user speaks, the avatar moves its mouth in sync. This allows the avatar's movements and facial expressions to be synchronized with the user's movements in real time, enabling more natural communication.

[0035] The avatar generation unit can automatically generate avatar clothing and accessories to match the user's real-time fashion. For example, the avatar generation unit captures the user's current fashion with a camera and automatically generates avatar clothing and accessories based on that. For example, the avatar clothing may be dressed in clothing with the same design as the clothes the user is wearing. The avatar generation unit also learns the user's fashion style and suggests avatar clothing and accessories based on that. For example, it generates clothing that reflects the user's preferred brands and colors. Furthermore, the avatar generation unit dynamically changes the avatar's clothing and accessories to match the user's real-time fashion. For example, if the user wears a hat, the avatar will also wear the same hat. This allows avatar clothing and accessories to be automatically generated to match the user's real-time fashion.

[0036] The avatar generation unit can use the avatar as a marketing tool for the company and utilize it as a brand character. For example, the avatar generation unit generates an avatar that matches the company's brand image and uses it in marketing campaigns. For example, it creates an avatar that reflects the company's logo and colors. The avatar generation unit also creates videos and content that introduce the company's products and services using the avatar. For example, it creates a video in which the avatar explains how to use the product. Furthermore, the avatar generation unit uses the avatar in company events and promotions to promote interaction with users. For example, the avatar acts as the host of an event. This allows the avatar to be used as a marketing tool for the company and as a brand character.

[0037] The avatar generation unit can use the avatar as an educational character to support children's learning. The avatar generation unit, for example, generates an educational avatar to support children's learning. For example, the avatar supports the progress of a lesson and answers children's questions. The avatar generation unit also uses the avatar to create educational content that children can enjoy while learning. For example, it creates animations and games featuring the avatar. Furthermore, the avatar generation unit uses the avatar to manage children's learning progress and provide individual feedback. For example, the avatar evaluates the children's learning situation and gives advice. In this way, the avatar can be used as an educational character to support children's learning.

[0038] The communication intermediary character generation unit can learn the user's past conversation history and provide more personalized conversations. The communication intermediary character generation unit, for example, analyzes the user's past conversation history and provides individually personalized conversations. For example, the conversation progresses based on topics the user previously discussed. The communication intermediary character generation unit also learns the conversation history and generates conversations that match the user's preferences and interests. For example, it prioritizes topics that the user likes. Furthermore, the communication intermediary character generation unit provides conversations that match the user's communication style based on the past conversation history. For example, it reflects the user's preferred language and tone. In this way, the communication intermediary character generation unit can learn the user's past conversation history and provide more personalized conversations.

[0039] The communication intermediary character generation unit can manage the user's schedule and promote conversation at appropriate times. The communication intermediary character generation unit, for example, manages the user's schedule and promotes conversation at appropriate times. For example, it provides conversation that allows the user to relax before a meeting. The communication intermediary character generation unit also uses a schedule management function to promote conversation by avoiding busy times for the user. For example, it provides conversation that allows the user to relax during break times. Furthermore, the communication intermediary character generation unit starts conversation at appropriate times based on the user's schedule. For example, it provides conversation that allows the user to relax after finishing work. In this way, the user's schedule can be managed and conversation can be promoted at appropriate times.

[0040] The communication intermediary character generation unit is used in customer support to make customer responses more efficient. The communication intermediary character generation unit, for example, generates an intermediary character for customer support to make customer responses more efficient. For example, it provides automatic responses to frequently asked questions. The communication intermediary character generation unit also uses the intermediary character to build a system that quickly responds to customer inquiries. For example, a chatbot answers customer questions in real time. Furthermore, the communication intermediary character generation unit allows the intermediary character to learn the customer's past inquiry history and provide an appropriate response in order to make customer support more efficient. For example, it proposes solutions based on the customer's past problems. This can be used in customer support to make customer responses more efficient.

[0041] The communication intermediary character generation unit can be used in educational settings to promote communication between students. The communication intermediary character generation unit, for example, generates an intermediary character in an educational setting to promote communication between students. For example, it supports the progress of group discussions. The communication intermediary character generation unit also uses the intermediary character to provide an environment in which students can easily ask questions. For example, the intermediary character provides appropriate answers to students' questions. Furthermore, the communication intermediary character generation unit allows the intermediary character in an educational setting to manage students' learning progress and provide individual feedback. For example, the intermediary character evaluates the student's learning situation and gives advice. This allows the communication intermediary character generation unit to be used in educational settings to promote communication between students.

[0042] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0043] The virtual space providing unit can monitor the user's health condition and provide appropriate feedback. For example, it can measure the user's heart rate and blood pressure and display a warning if an abnormality is detected. The virtual space providing unit can also provide exercise and dietary advice based on the user's health data. Furthermore, the virtual space providing unit can adjust the environment within the virtual space according to the user's health condition and provide a relaxing space. This can support the user's health management.

[0044] The virtual space providing unit can provide a customizable virtual space based on the user's hobbies and interests. For example, it can create a virtual space that incorporates elements related to the user's favorite sports or music. The virtual space providing unit can also provide a function that allows the user to freely customize the virtual space to suit their own hobbies and interests. Furthermore, the virtual space providing unit can suggest events and activities based on the user's hobbies and interests. This allows the user to enjoy a virtual space based on their own hobbies and interests.

[0045] The virtual space providing unit can provide educational content tailored to the user's learning style. For example, for users who prefer visual learning, content that makes extensive use of graphics and videos can be provided. The virtual space providing unit can also monitor the user's learning progress in real time and provide appropriate feedback. Furthermore, the virtual space providing unit can adjust the environment within the virtual space to suit the user's learning style, providing an environment that makes it easier for the user to concentrate. This can improve the user's learning effectiveness.

[0046] The virtual space providing unit can provide functions to strengthen the social connections of users. For example, the virtual space providing unit can enable users to easily interact with other users who share common hobbies and interests. The virtual space providing unit can also suggest communities and groups that users can join. Furthermore, the virtual space providing unit can provide tools that allow users to collaborate with other users on projects. This can strengthen the social connections of users and promote communication.

[0047] The virtual space providing unit can provide a training program tailored to the user's fitness goals. For example, it can suggest an appropriate exercise menu based on the user's physical strength and health condition. The virtual space providing unit can also monitor the user's training progress in real time and provide appropriate feedback. Furthermore, the virtual space providing unit can adjust the environment in the virtual space to match the user's fitness goals, making training more effective. This can support the user in achieving their fitness goals.

[0048] The virtual space providing unit can recreate the user's travel experience in the virtual space. For example, it can recreate places the user has visited in the virtual space and provide the user with the experience of visiting those places again. The virtual space providing unit can also simulate places the user wants to go to in the virtual space and support the user in planning their trip. Furthermore, the virtual space providing unit can provide a function that allows the user to interact with other travelers in the virtual space and share travel information. This allows the user's travel experience to be recreated in the virtual space, providing the user with the enjoyment of traveling.

[0049] The virtual space providing unit can provide tools to stimulate the user's creativity. For example, it can provide tools that allow the user to create artwork or compose music in the virtual space. The virtual space providing unit can also provide a function that allows the user to collaborate with other creators to create works. Furthermore, the virtual space providing unit can provide inspiration to enhance the user's creativity. This can stimulate the user's creativity and support creative activities in the virtual space.

[0050] The processing flow of the first embodiment will be briefly explained below.

[0051] Step 1: The virtual space provider provides a virtual space. For example, it may use VR technology to generate a 3D space in which the user can act. It may also use AR technology to overlay virtual elements onto the real world. Furthermore, the virtual space provider provides an environment in which the user can move freely and interact with other users. For example, the user may hold a meeting or participate in an event within the virtual space. Step 2: The avatar generation unit generates an avatar for the user in the virtual space provided by the virtual space provision unit. For example, it uses generation AI to create an avatar that matches the user's appearance and hobbies. The avatar generation unit also provides a function that allows the user to customize the avatar's appearance and clothing. For example, the user can change the avatar's hairstyle and clothing. Furthermore, the avatar generation unit has a function that reflects the user's movements and facial expressions in real time. For example, when the user smiles, the avatar also smiles. Step 3: The communication intermediary character generation unit generates characters that will mediate communication within the virtual space. For example, chat generation AI is used to create characters such as a CEO bot or an MC bot. The communication intermediary character generation unit also mediates user conversations and plays a role in livening up the atmosphere. For example, a CEO bot will support the progress of a meeting, and an MC bot will act as the moderator of an event. Furthermore, the communication intermediary character generation unit has the function of adjusting the content of the conversation according to the user's emotional state. For example, when a user wants to relax, it will provide calming topics.

[0052] (Example 2) The communication system according to the embodiment of the present invention allows users to express their lifestyles using their favorite avatars in a virtual space, and a bot using AI facilitates communication between employees. This allows the communication system to promote warm and friendly communication rather than formal, business-like communication.

[0053] A communication system according to an embodiment includes a virtual space providing unit, an avatar generating unit, and a communication intermediary character generating unit. The virtual space providing unit provides a virtual space. For example, it may generate a 3D space using VR technology, allowing users to interact within the space. It may also use AR technology to overlay virtual elements onto the real world. Furthermore, the virtual space providing unit provides an environment in which users can freely move and interact with other users. For example, users may hold meetings or participate in events within the virtual space. The avatar generating unit generates a user's avatar within the virtual space provided by the virtual space providing unit. For example, it may use a generation AI to create an avatar that matches the user's appearance and hobbies. The avatar generating unit also provides a function that allows users to customize the avatar's appearance and clothing. For example, the user may change the avatar's hairstyle and clothing. Furthermore, the avatar generating unit has a function that reflects the user's movements and facial expressions in real time. For example, when the user smiles, the avatar also smiles. The communication intermediary character generating unit generates a character that mediates communication within the virtual space. For example, it may use a chat generation AI to create characters such as a CEO bot or an MC bot. The communication intermediary character generation unit also mediates user conversations and plays a role in livening up the atmosphere. For example, a CEO bot supports the progress of a meeting, and an MC bot acts as the host of an event. Furthermore, the communication intermediary character generation unit has the function of adjusting the content of the conversation according to the user's emotional state. For example, it provides calm topics when the user wants to relax. This allows the communication system according to the embodiment to allow users to enjoy casual communication in a virtual space. For example, users can enjoy casual conversations and talk about hobbies in the virtual space. Furthermore, users can easily communicate with colleagues even when working remotely.

[0054] The virtual space providing unit can realize haptic feedback in the virtual space, allowing the user to experience physical sensations. The virtual space providing unit, for example, uses special gloves or a suit to reproduce the sensation of touching an object in the virtual space. For example, when grabbing a ball in the virtual space, the user can feel its weight and texture. The virtual space providing unit also uses a device that provides haptic feedback to make interactions in the virtual space more realistic. For example, when opening a door in the virtual space, the user can feel the resistance. Furthermore, the virtual space providing unit uses haptic feedback to make games and training in the virtual space more effective. For example, during sports training in the virtual space, the user can experience sensations that are close to actual movements. This allows the user to experience physical sensations in the virtual space.

[0055] The virtual space providing unit can simulate environmental sounds and scents within the virtual space, providing an immersive experience that fully utilizes the five senses. For example, the virtual space providing unit generates environmental sounds in real time and changes them according to the situation within the virtual space. For example, in a forest within the virtual space, it reproduces the sounds of birds chirping and the wind. The virtual space providing unit also uses a device that simulates scents to make the experience within the virtual space more realistic. For example, in a cafe within the virtual space, the user can smell the aroma of coffee. Furthermore, the virtual space providing unit combines environmental sounds and scents to more realistically create events and scenes within the virtual space. For example, in a beach within the virtual space, it reproduces the sound of waves and the smell of the sea. This allows the user to experience an immersive experience within the virtual space that fully utilizes the five senses.

[0056] The virtual space providing unit can use the emotion estimation function to automatically provide environmental changes according to the user's emotional state. For example, the virtual space providing unit analyzes the user's facial expressions and heart rate, and provides calming music and scenery when the user wants to relax. For example, a tranquil lake scene is displayed for a user who is feeling stressed. The virtual space providing unit also uses the emotion estimation function to automatically set an environment that matches the user's mood. For example, a relaxing forest scene is provided when the user is tired. Furthermore, the virtual space providing unit adjusts the lighting and music in the virtual space according to the user's emotional state. For example, a quiet environment is provided when the user wants to concentrate, and soft lighting and music are provided when the user wants to relax. In this way, environmental changes can be automatically provided according to the user's emotional state.

[0057] The virtual space providing unit can use the virtual space in educational and medical settings to support remote learning and remote medical treatment. The virtual space providing unit, for example, uses the virtual space to provide a place for remote learning. For example, a teacher and students may hold classes in a virtual classroom while communicating in real time. The virtual space providing unit also uses the virtual space to support remote medical treatment. For example, a doctor may meet with a patient in a virtual examination room to examine them and provide counseling. The virtual space providing unit also uses the virtual space to conduct medical training. For example, medical students may simulate surgery in a virtual operating room to acquire skills. This allows the virtual space to be used in educational and medical settings to support remote learning and remote medical treatment.

[0058] The virtual space providing unit can hold sporting events and concerts in the virtual space, allowing users to participate in them in real time. For example, the virtual space providing unit can hold sporting events in the virtual space, allowing users to watch them in real time. For example, watching a soccer match in a virtual stadium. The virtual space providing unit can also hold concerts in the virtual space, allowing users to participate in them in real time. For example, enjoying a live concert in a virtual hall. Furthermore, the virtual space providing unit can provide an interface for participating in events in the virtual space, allowing users to easily participate. For example, purchasing a virtual ticket to participate in an event. This allows sporting events and concerts to be held in the virtual space, allowing users to participate in them in real time.

[0059] The virtual space providing unit can use the emotion estimation function to propose a virtual space design that will allow the user to feel most relaxed. The virtual space providing unit, for example, analyzes the user's emotion data and proposes a virtual space design that will allow the user to feel most relaxed. For example, it provides a space that combines colors and music that will relax the user. The virtual space providing unit also uses the emotion estimation function to automatically generate a virtual space design that matches the user's mood. For example, it provides a relaxing landscape when the user is feeling stressed. Furthermore, the virtual space providing unit adjusts the design of the virtual space in real time according to the user's emotional state. For example, it provides calming landscapes and music when the user wants to relax. This makes it possible to propose a virtual space design that will allow the user to feel most relaxed.

[0060] The avatar generation unit synchronizes the avatar's movements and facial expressions with the user's movements in real time, enabling more natural communication. The avatar generation unit, for example, captures the user's facial expressions with a camera and reflects them in the avatar's facial expressions in real time. For example, when the user smiles, the avatar also smiles. The avatar generation unit also captures the user's movements using motion capture technology and reflects them in the avatar's movements in real time. For example, when the user waves their hand, the avatar does the same. Furthermore, the avatar generation unit analyzes the user's voice and reflects it in the avatar's mouth movements in real time. For example, when the user speaks, the avatar moves its mouth in sync. This allows the avatar's movements and facial expressions to be synchronized with the user's movements in real time, enabling more natural communication.

[0061] The avatar generation unit can automatically generate avatar clothing and accessories to match the user's real-time fashion. For example, the avatar generation unit captures the user's current fashion with a camera and automatically generates avatar clothing and accessories based on that. For example, the avatar clothing may be dressed in clothing with the same design as the clothes the user is wearing. The avatar generation unit also learns the user's fashion style and suggests avatar clothing and accessories based on that. For example, it generates clothing that reflects the user's preferred brands and colors. Furthermore, the avatar generation unit dynamically changes the avatar's clothing and accessories to match the user's real-time fashion. For example, if the user wears a hat, the avatar will also wear the same hat. This allows avatar clothing and accessories to be automatically generated to match the user's real-time fashion.

[0062] The avatar generation unit can automatically change the facial expression and behavior of the avatar according to the user's emotions using the emotion estimation function. The avatar generation unit, for example, analyzes the user's emotions and automatically changes the avatar's facial expression accordingly. For example, when the user is sad, the avatar also has a sad expression. The avatar generation unit also automatically changes the avatar's behavior according to the user's emotions using the emotion estimation function. For example, when the user is excited, the avatar also moves actively. Furthermore, the avatar generation unit adjusts the avatar's facial expression and behavior in real time according to the user's emotional state. For example, when the user is relaxed, the avatar also moves calmly. This makes it possible to automatically change the avatar's facial expression and behavior according to the user's emotions.

[0063] The avatar generation unit can use the avatar as a marketing tool for the company and utilize it as a brand character. For example, the avatar generation unit generates an avatar that matches the company's brand image and uses it in marketing campaigns. For example, it creates an avatar that reflects the company's logo and colors. The avatar generation unit also creates videos and content that introduce the company's products and services using the avatar. For example, it creates a video in which the avatar explains how to use the product. Furthermore, the avatar generation unit uses the avatar in company events and promotions to promote interaction with users. For example, the avatar acts as the host of an event. This allows the avatar to be used as a marketing tool for the company and as a brand character.

[0064] The avatar generation unit can use the avatar as an educational character to support children's learning. The avatar generation unit, for example, generates an educational avatar to support children's learning. For example, the avatar supports the progress of a lesson and answers children's questions. The avatar generation unit also uses the avatar to create educational content that children can enjoy while learning. For example, it creates animations and games featuring the avatar. Furthermore, the avatar generation unit uses the avatar to manage children's learning progress and provide individual feedback. For example, the avatar evaluates the children's learning situation and gives advice. In this way, the avatar can be used as an educational character to support children's learning.

[0065] The avatar generation unit can use the emotion estimation function to propose an avatar design that the user will most empathize with. The avatar generation unit, for example, analyzes the user's emotion data and proposes an avatar design that the user will most empathize with. For example, it generates an avatar that reflects the user's preferred facial expression and style. The avatar generation unit also uses the emotion estimation function to automatically generate an avatar design that matches the user's mood. For example, when the user wants to relax, it provides an avatar with a calm expression. Furthermore, the avatar generation unit adjusts the avatar design in real time according to the user's emotional state. For example, when the user is excited, it provides an avatar with a lively expression. This makes it possible to propose an avatar design that the user will most empathize with.

[0066] The communication intermediary character generation unit can learn the user's past conversation history and provide more personalized conversations. The communication intermediary character generation unit, for example, analyzes the user's past conversation history and provides individually personalized conversations. For example, the conversation progresses based on topics the user previously discussed. The communication intermediary character generation unit also learns the conversation history and generates conversations that match the user's preferences and interests. For example, it prioritizes topics that the user likes. Furthermore, the communication intermediary character generation unit provides conversations that match the user's communication style based on the past conversation history. For example, it reflects the user's preferred language and tone. In this way, the communication intermediary character generation unit can learn the user's past conversation history and provide more personalized conversations.

[0067] The communication intermediary character generation unit can manage the user's schedule and promote conversation at appropriate times. The communication intermediary character generation unit, for example, manages the user's schedule and promotes conversation at appropriate times. For example, it provides conversation that allows the user to relax before a meeting. The communication intermediary character generation unit also uses a schedule management function to promote conversation by avoiding busy times for the user. For example, it provides conversation that allows the user to relax during break times. Furthermore, the communication intermediary character generation unit starts conversation at appropriate times based on the user's schedule. For example, it provides conversation that allows the user to relax after finishing work. In this way, the user's schedule can be managed and conversation can be promoted at appropriate times.

[0068] The communication intermediary character generation unit can automatically adjust the content of the conversation according to the emotional state of the user using the emotion estimation function. The communication intermediary character generation unit, for example, analyzes the user's emotions and provides the conversation content according to the user's emotions. For example, when the user is sad, it offers words of encouragement. The communication intermediary character generation unit also uses the emotion estimation function to automatically generate conversation according to the user's emotional state. For example, when the user is feeling stressed, it provides topics that will help the user relax. Furthermore, the communication intermediary character generation unit adjusts the tone and content of the conversation in real time according to the user's emotional state. For example, when the user is excited, it provides calming topics. This makes it possible to automatically adjust the content of the conversation according to the user's emotional state.

[0069] The communication intermediary character generation unit is used in customer support to make customer responses more efficient. The communication intermediary character generation unit, for example, generates an intermediary character for customer support to make customer responses more efficient. For example, it provides automatic responses to frequently asked questions. The communication intermediary character generation unit also uses the intermediary character to build a system that quickly responds to customer inquiries. For example, a chatbot answers customer questions in real time. Furthermore, the communication intermediary character generation unit allows the intermediary character to learn the customer's past inquiry history and provide an appropriate response in order to make customer support more efficient. For example, it proposes solutions based on the customer's past problems. This can be used in customer support to make customer responses more efficient.

[0070] The communication intermediary character generation unit can be used in educational settings to promote communication between students. The communication intermediary character generation unit, for example, generates an intermediary character in an educational setting to promote communication between students. For example, it supports the progress of group discussions. The communication intermediary character generation unit also uses the intermediary character to provide an environment in which students can easily ask questions. For example, the intermediary character provides appropriate answers to students' questions. Furthermore, the communication intermediary character generation unit allows the intermediary character in an educational setting to manage students' learning progress and provide individual feedback. For example, the intermediary character evaluates the student's learning situation and gives advice. This allows the communication intermediary character generation unit to be used in educational settings to promote communication between students.

[0071] The communication intermediary character generation unit can use the emotion estimation function to suggest conversation content that will help the user to relax the most. The communication intermediary character generation unit, for example, analyzes the user's emotion data and suggests conversation content that will help the user to relax the most. For example, it provides topics and tones that will help the user to relax. The communication intermediary character generation unit also uses the emotion estimation function to automatically generate conversation content that matches the user's mood. For example, it provides topics that will help the user to relax when the user is feeling stressed. Furthermore, the communication intermediary character generation unit adjusts the conversation content in real time according to the user's emotional state. For example, it provides calm topics when the user wants to relax. This makes it possible to suggest conversation content that will help the user to relax the most.

[0072] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0073] The virtual space providing unit can monitor the user's health condition and provide appropriate feedback. For example, it can measure the user's heart rate and blood pressure and display a warning if an abnormality is detected. The virtual space providing unit can also provide exercise and dietary advice based on the user's health data. Furthermore, the virtual space providing unit can adjust the environment within the virtual space according to the user's health condition and provide a relaxing space. This can support the user's health management.

[0074] The virtual space providing unit can provide a customizable virtual space based on the user's hobbies and interests. For example, it can create a virtual space that incorporates elements related to the user's favorite sports or music. The virtual space providing unit can also provide a function that allows the user to freely customize the virtual space to suit their own hobbies and interests. Furthermore, the virtual space providing unit can suggest events and activities based on the user's hobbies and interests. This allows the user to enjoy a virtual space based on their own hobbies and interests.

[0075] The virtual space providing unit can provide educational content tailored to the user's learning style. For example, for users who prefer visual learning, content that makes extensive use of graphics and videos can be provided. The virtual space providing unit can also monitor the user's learning progress in real time and provide appropriate feedback. Furthermore, the virtual space providing unit can adjust the environment within the virtual space to suit the user's learning style, providing an environment that makes it easier for the user to concentrate. This can improve the user's learning effectiveness.

[0076] The virtual space providing unit can use the emotion estimation function to provide a relaxation program according to the user's emotional state. For example, when the user is feeling stressed, it can provide relaxing music or a meditation guide. The virtual space providing unit can also adjust the environment in the virtual space according to the user's emotional state to provide a relaxing space. Furthermore, the virtual space providing unit can adjust the content of the relaxation program in real time based on the user's emotional state. This makes it possible to provide a relaxation program that is most relaxing for the user.

[0077] The virtual space providing unit can provide functions to strengthen the social connections of users. For example, the virtual space providing unit can enable users to easily interact with other users who share common hobbies and interests. The virtual space providing unit can also suggest communities and groups that users can join. Furthermore, the virtual space providing unit can provide tools that allow users to collaborate with other users on projects. This can strengthen the social connections of users and promote communication.

[0078] The virtual space providing unit can provide a training program tailored to the user's fitness goals. For example, it can suggest an appropriate exercise menu based on the user's physical strength and health condition. The virtual space providing unit can also monitor the user's training progress in real time and provide appropriate feedback. Furthermore, the virtual space providing unit can adjust the environment in the virtual space to match the user's fitness goals, making training more effective. This can support the user in achieving their fitness goals.

[0079] The virtual space providing unit can use the emotion estimation function to provide entertainment content according to the user's emotional state. For example, when the user wants to relax, it can suggest calming movies or music. The virtual space providing unit can also adjust the content of the entertainment content in real time based on the user's emotional state. Furthermore, the virtual space providing unit can adjust the environment in the virtual space according to the user's emotional state to make the entertainment experience more enjoyable. This allows the user to be provided with the most enjoyable entertainment content.

[0080] The virtual space providing unit can recreate the user's travel experience in the virtual space. For example, it can recreate places the user has visited in the virtual space and provide the user with the experience of visiting those places again. The virtual space providing unit can also simulate places the user wants to go to in the virtual space and support the user in planning their trip. Furthermore, the virtual space providing unit can provide a function that allows the user to interact with other travelers in the virtual space and share travel information. This allows the user's travel experience to be recreated in the virtual space, providing the user with the enjoyment of traveling.

[0081] The virtual space providing unit can use the emotion estimation function to provide learning content according to the user's emotional state. For example, when a user wants to concentrate, it provides an environment and learning content that facilitates concentration. The virtual space providing unit can also adjust the difficulty and content of the learning content in real time based on the user's emotional state. Furthermore, the virtual space providing unit can adjust the environment in the virtual space according to the user's emotional state to improve learning effectiveness. This makes it possible to provide an environment and content that allows the user to study most effectively.

[0082] The virtual space providing unit can provide tools to stimulate the user's creativity. For example, it can provide tools that allow the user to create artwork or compose music in the virtual space. The virtual space providing unit can also provide a function that allows the user to collaborate with other creators to create works. Furthermore, the virtual space providing unit can provide inspiration to enhance the user's creativity. This can stimulate the user's creativity and support creative activities in the virtual space.

[0083] The processing flow of the second embodiment will be briefly explained below.

[0084] Step 1: The virtual space provider provides a virtual space. For example, it may use VR technology to generate a 3D space in which the user can act. It may also use AR technology to overlay virtual elements onto the real world. Furthermore, the virtual space provider provides an environment in which the user can move freely and interact with other users. For example, the user may hold a meeting or participate in an event within the virtual space. Step 2: The avatar generation unit generates an avatar for the user in the virtual space provided by the virtual space provision unit. For example, it uses generation AI to create an avatar that matches the user's appearance and hobbies. The avatar generation unit also provides a function that allows the user to customize the avatar's appearance and clothing. For example, the user can change the avatar's hairstyle and clothing. Furthermore, the avatar generation unit has a function that reflects the user's movements and facial expressions in real time. For example, when the user smiles, the avatar also smiles. Step 3: The communication intermediary character generation unit generates characters that will mediate communication within the virtual space. For example, chat generation AI is used to create characters such as a CEO bot or an MC bot. The communication intermediary character generation unit also mediates user conversations and plays a role in livening up the atmosphere. For example, a CEO bot will support the progress of a meeting, and an MC bot will act as the moderator of an event. Furthermore, the communication intermediary character generation unit has the function of adjusting the content of the conversation according to the user's emotional state. For example, when a user wants to relax, it will provide calming topics.

[0085] 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.

[0086] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<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.

[0087] 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.

[0088] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0089] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0090] 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.

[0091] 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.

[0092] 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.

[0093] 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).

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0098] 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. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0099] 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.

[0100] 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.

[0101] 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 AI 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.

[0102] 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.

[0103] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0104] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0105] 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.

[0106] 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.

[0107] 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.

[0108] 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).

[0109] 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.

[0110] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset 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.

[0111] 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.

[0112] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0113] In the headset type terminal 314, 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 headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0114] 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.

[0115] 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.

[0116] 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 AI 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.

[0117] 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.

[0118] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0119] 7, a 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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).

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0129] In the robot 414, 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. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0130] 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.

[0131] 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.

[0132] 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 AI 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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).

[0138] 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.

[0139] 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."

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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, in order to avoid confusion and to 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.

[0151] 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]

[0152] 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 virtual space providing unit that provides a virtual space; an avatar generation unit that generates an avatar of a user in the virtual space provided by the virtual space provision unit; a communication mediation character generation unit that generates a character that mediates communication within the virtual space; A system characterized by:

2. The virtual space providing unit Realizing haptic feedback within the virtual space, allowing users to experience physical sensations 2. The system of claim 1.

3. The virtual space providing unit Simulates environmental sounds and scents within the virtual space, providing an immersive experience that fully utilizes the five senses.

2. The system of claim 1.

4. The virtual space providing unit Automatically providing environmental changes according to the emotional state of the user 2. The system of claim 1.

5. The virtual space providing unit The virtual space will be used in education and medical settings to support remote learning and remote medical treatment.

2. The system of claim 1.

6. The virtual space providing unit Hosting sporting events and concerts in the virtual space and allowing the users to participate in them in real time 2. The system of claim 1.

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