System

Abstract

An object of a system according to an embodiment is to perform natural communication with a pet avatar in a virtual space.SOLUTION: A system according to an embodiment includes an image generation unit, a communication unit, and a speech generation unit. The image generation unit uses the image generation AI to reproduce the avatar of the pet kept in the virtual space-specifically on the smartphone application. The communication unit can perform various communications with the pet avatar in the smartphone application. The conversation generation unit utilizes the generated AI to have a natural conversation with the pet avatar.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] With conventional technology, it was difficult for pet owners experiencing pet loss or people who could not keep their pets to communicate naturally with their pets in a virtual space.

[0005] The system according to the embodiment aims to enable natural communication with a pet avatar in a virtual space. [Means for solving the problem]

[0006] The system according to the embodiment includes an image generation unit, a communication unit, and a conversation generation unit. The image generation unit uses image generation AI to recreate an avatar of a pet in a virtual space, specifically on a smartphone app. The communication unit allows various forms of communication with the pet avatar within the smartphone app. The conversation generation unit utilizes the generation AI to have natural conversations with the pet avatar. [Effects of the Invention]

[0007] The system according to the embodiment allows natural communication with a pet avatar in a virtual space. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) A pet avatar system according to an embodiment of the present invention is a system that enriches people's lives through communication with pet avatars. This system uses image generation AI to recreate an avatar of a pet in a virtual space, specifically on a smartphone app, and allows users to communicate with the pet avatar in various ways. This allows the pet avatar system to enrich people's lives through communication with the pet avatar.

[0029] The pet avatar system according to the embodiment includes an image generation unit, a communication unit, and a conversation generation unit. The image generation unit uses an image generation AI to recreate an avatar of a pet in a virtual space, specifically, on a smartphone app. For example, when an owner uploads a video of their pet, the image generation unit analyzes the video and generates an avatar that recreates the pet's movements and sounds. The image generation unit also adds a function to change the pet's facial expressions and emotions in real time, creating a more lifelike avatar. For example, when the owner speaks to the pet avatar, the pet avatar recreates a smiling or surprised expression. Furthermore, the image generation unit incorporates the owner's voice and scent as input data, allowing the pet avatar to respond accordingly. For example, the pet avatar's ears prick up when it hears the owner's voice. The communication unit enables various forms of communication with the pet avatar within the smartphone app. For example, when the communication unit speaks to the pet avatar, the generation AI understands what is being said and responds appropriately. The communication unit also superimposes a pet avatar onto a real-world scene via the smartphone camera, allowing owners to experience the sensation of walking with their pet. When an owner feeds their pet within the app, the communication unit displays the pet avatar happily eating. The conversation generation unit utilizes AI to engage in natural conversations with the pet avatar. For example, the conversation generation unit can have the avatar pet speak to the owner based on past social media posts by the owner experiencing pet loss. The conversation generation unit also learns the owner's past conversation history and generates more personalized responses. This allows the pet avatar system according to the embodiment to enrich people's lives through communication with the pet avatar. For example, owners experiencing pet loss can relive memories of their deceased pet and find emotional solace. Future owners can also experience life with a pet in a virtual space before adopting a pet.

[0030] When an owner uploads a video of their pet, the image generation unit uses the image generation AI to analyze the video and generate an avatar that reproduces the pet's movements and sounds. For example, when an owner uploads a video of their pet, the image generation unit uses the image generation AI to analyze the video and generate an avatar that reproduces the pet's movements and sounds. For example, the image generation AI analyzes the frames of the video to extract patterns of the pet's movements. The image generation AI also performs audio analysis to reproduce the pet's sounds. Furthermore, the image generation AI uses motion recognition technology to reproduce the pet's movements in real time. This makes it possible to generate a realistic pet avatar based on the owner's video of their pet.

[0031] When the communication unit speaks to the pet avatar, the generation AI can understand what is said and provide an appropriate response. For example, when the communication unit speaks to the pet avatar, the generation AI can understand what is said and provide an appropriate response. For example, the generation AI can analyze voice input and understand what is being spoken to. The generation AI can also analyze text input and understand what is being spoken to. The generation AI can also analyze gesture input and understand what is being spoken to. This makes it possible to have natural conversations with the pet avatar.

[0032] The communication unit superimposes the pet avatar on the real scenery through the smartphone camera, allowing the owner to experience as if they were taking a walk with their pet. For example, the communication unit superimposes the pet avatar on the real scenery through the smartphone camera, allowing the owner to experience as if they were taking a walk with their pet. For example, the communication unit uses AR technology to display the pet avatar on the real scenery. The communication unit also uses image recognition technology to analyze the real scenery and adjust the position of the pet avatar. Furthermore, the communication unit performs walking simulation to reproduce the movements of the pet avatar walking with the owner. In this way, by superimposing the pet avatar on the real scenery, the owner can experience as if they were taking a walk with their pet.

[0033] The conversation generation unit can have the avatar pet speak to the owner based on the content that the owner who is experiencing pet loss has posted on social media in the past. The conversation generation unit can have the avatar pet speak to the owner based on the content that the owner who is experiencing pet loss has posted on social media in the past. For example, the conversation generation unit analyzes the content of the owner's social media posts and selects a conversation topic based on that content. The conversation generation unit also learns the past conversation history and generates conversation that matches the owner's preferences. Furthermore, the conversation generation unit uses a generation AI to generate natural conversation. This allows the avatar pet to speak to the owner based on the content that the owner who is experiencing pet loss has posted on social media in the past.

[0034] The communication unit can display an image of the pet avatar happily eating when the owner feeds the pet within the app. For example, the communication unit can display an image of the pet avatar happily eating when the owner feeds the pet within the app. For example, the communication unit can perform the action of feeding the pet using a tap operation. Also, the communication unit can perform the action of feeding the pet using a voice command. Furthermore, the communication unit can display an image of the pet avatar happily eating using animation. In this way, it is possible to display an image of the pet avatar happily eating when the owner feeds the pet within the app.

[0035] The image generation unit takes in the owner's voice and smell as input data, allowing the pet avatar to react to them. For example, the image generation unit could record the owner's voice and input that audio data into the image generation AI, adding a function that allows the pet avatar to react to the owner's voice. For example, the pet avatar's ears would prick up when it hears the owner's voice. The image generation unit could also use a sensor to detect the owner's smell, developing a function that allows the pet avatar to react based on that data. For example, the pet avatar would approach when it senses the owner's scent. Furthermore, the image generation unit could simultaneously take in the owner's voice and smell as input data, allowing the pet avatar to behave accordingly. For example, the pet avatar would run towards the owner with joy when it senses the owner's voice and smell. This makes it possible to generate a pet avatar that reacts to the owner's voice and smell.

[0036] The image generation unit generates avatars of different pet species, allowing simultaneous communication with multiple pets. For example, the image generation unit adds a function to generate avatars of different pet species, such as dogs, cats, and birds, using image generation AI. For example, it allows owners to control multiple pet avatars simultaneously. The image generation unit also develops a function that allows avatars of different pet species to interact with each other. For example, it recreates a scene where a dog avatar and a cat avatar play together. Furthermore, the image generation unit provides an interface for simultaneous communication with multiple pet avatars. For example, it allows owners to issue commands to multiple pet avatars at once. This allows avatars of different pet species to be generated and allows simultaneous communication with multiple pets.

[0037] The communication unit enables the pet avatar to understand the owner's schedule and provide reminders and alerts at the appropriate time. For example, the communication unit adds a function that enables the pet avatar to understand the owner's schedule and provide reminders at the appropriate time. For example, the pet avatar displays a reminder before the owner has a meeting. The communication unit also develops a function that enables the pet avatar to provide alerts based on the owner's schedule. For example, the pet avatar notifies the owner so that the owner does not forget an important appointment. Furthermore, the communication unit enables the pet avatar to learn the owner's schedule and provide reminders and alerts at the optimal time. For example, notifications are sent to avoid times when the owner is busy. This enables the pet avatar to understand the owner's schedule and provide reminders and alerts at the appropriate time.

[0038] The communication unit monitors the owner's health condition, allowing the pet avatar to provide health advice. For example, the communication unit may add a function to monitor the owner's health condition, allowing the pet avatar to provide health advice. For example, advice may be provided based on the owner's amount of exercise and diet. The communication unit may also analyze health data, allowing the pet avatar to provide appropriate health advice. For example, advice may be provided on improving sleep based on the owner's sleep data. Furthermore, the communication unit may monitor the owner's health condition in real time, allowing the pet avatar to provide immediate health advice. For example, the communication unit may detect the owner's stress level and suggest relaxation methods. This allows the owner's health condition to be monitored, allowing the pet avatar to provide health advice.

[0039] The communication unit can add a function that allows the pet avatar to link with other smartphone apps and exercise together in conjunction with a fitness app. For example, the communication unit adds a function that allows the pet avatar to link with a fitness app and exercise together. For example, when the owner starts exercising, the pet avatar also exercises together. The communication unit also develops a function that allows the pet avatar to link with other smartphone apps and support various activities. For example, it can link with a cooking app to cook together. Furthermore, the communication unit builds a system that allows the pet avatar to link with other apps and support the owner's lifestyle. For example, it can link with a meditation app to meditate together. This allows the pet avatar to link with other smartphone apps and exercise together in conjunction with the fitness app.

[0040] The communication unit enables the pet avatar to communicate with family and friends, supporting the owner's social connections. For example, the communication unit adds a function that enables the pet avatar to communicate with family and friends, supporting the owner's social connections. For example, sending messages to family and friends. The communication unit also develops a function that facilitates the pet avatar's communication with family and friends. For example, supporting video calls with family and friends. Furthermore, the communication unit builds a system that supports the pet avatar's interactions with family and friends. For example, suggesting events with family and friends. This enables the pet avatar to communicate with family and friends, supporting the owner's social connections.

[0041] The communication unit enables the pet avatar to interact with real objects in the AR space and reproduce their movements. For example, the communication unit adds a function that enables the pet avatar to interact with real objects in the AR space. For example, the pet avatar chases a ball thrown by the owner. The communication unit also develops a system that recognizes real objects and enables the pet avatar to move accordingly. For example, the pet avatar reacts to and plays with a toy held by the owner. Furthermore, the communication unit builds a function that enables the pet avatar to move in conjunction with real objects in the AR space. For example, the pet avatar moves to a location specified by the owner. This enables the pet avatar to interact with real objects in the AR space and reproduce their movements.

[0042] The communication unit can add scenarios in which an adventure or game can be enjoyed with a pet avatar in a VR space. For example, the communication unit adds a scenario in which an adventure or game can be enjoyed with a pet avatar in a VR space. For example, a treasure hunt in a virtual forest with a pet avatar. The communication unit also develops VR games that can be enjoyed with a pet avatar. For example, a game in which the owner cooperates with the pet avatar to solve puzzles. Furthermore, the communication unit creates a scenario in which an adventure can be enjoyed with a pet avatar in a VR space, in which the owner completes various missions together with the pet avatar. For example, completing a mission together with the pet avatar in a virtual town. This makes it possible to add scenarios in which an adventure or game can be enjoyed with a pet avatar in a VR space.

[0043] The communication unit can add a function that allows the pet avatar to interact with other users' pet avatars in the AR space. For example, the communication unit adds a function that allows the pet avatar to interact with other users' pet avatars in the AR space. For example, it recreates a scene in which multiple pet avatars play together. The communication unit also develops a function that allows interaction with other users' pet avatars. For example, the pet avatars greet each other and play together. Furthermore, the communication unit builds a system in which the pet avatar operates in conjunction with other users' pet avatars in the AR space. For example, the pet avatars cooperate with each other to complete tasks. This allows the pet avatar to interact with other users' pet avatars in the AR space.

[0044] The communication unit can provide an experience where the pet avatar recreates a place that holds memories for the owner in a VR space and allows the owner to visit it together. For example, the communication unit recreates a park where the owner played as a child. The communication unit also develops a scenario where the pet avatar recreates a place that holds memories for the owner in a VR space and allows the owner to visit the place together with the pet avatar. For example, it recreates a place where the owner has traveled. Furthermore, the communication unit builds a system where the pet avatar recreates a place that holds memories for the owner in a VR space and allows the owner to experience it together. For example, it recreates the place where the owner had their wedding. This allows the pet avatar to recreate a place that holds memories for the owner in a VR space and allows the owner to visit it together.

[0045] The conversation generation unit allows the pet avatar to learn the owner's past conversation history and generate more personalized responses. For example, the conversation generation unit allows the pet avatar to learn the owner's past conversation history and generate personalized responses based on that data. For example, the pet avatar may respond based on topics the owner often talks about. The conversation generation unit may also develop a system that analyzes the owner's conversation history and allows the pet avatar to respond appropriately based on the content of the conversation. For example, the pet avatar may hold a conversation tailored to the owner's hobbies and interests. Furthermore, the conversation generation unit may add a function that learns the owner's past conversation history and allows the pet avatar to respond according to the owner's preferences. For example, the pet avatar may provide related information when talking about a favorite movie. This allows the pet avatar to learn the owner's past conversation history and generate more personalized responses.

[0046] The conversation generation unit enables the pet avatar to analyze the tone and speed of the owner's voice and respond accordingly. The conversation generation unit adds a function, for example, for the pet avatar to analyze the tone and speed of the owner's voice and respond accordingly based on that data. For example, when the owner speaks excitedly, the pet avatar also responds excitedly. The conversation generation unit also develops a system that analyzes the tone and speed of the owner's voice in real time and allows the pet avatar to respond accordingly. For example, when the owner speaks slowly, the pet avatar also responds slowly. Furthermore, the conversation generation unit analyzes the tone and speed of the voice and builds a function that allows the pet avatar to respond in accordance with the owner's emotions. For example, when the owner is angry, the pet avatar responds in a calming manner. This allows the pet avatar to analyze the tone and speed of the owner's voice and respond accordingly.

[0047] The conversation generation unit enables the pet avatar to link with other devices and support communication throughout the house. For example, the conversation generation unit adds a function that enables the pet avatar to link with a smart speaker and support communication throughout the house. For example, it allows all family members to converse with the pet avatar. The conversation generation unit also develops a system that enables the pet avatar to link with other devices and support communication throughout the house. For example, it links with a smart TV and displays the pet avatar on the screen. Furthermore, the conversation generation unit builds a function that enables the pet avatar to operate in conjunction with other devices. For example, it links with smartphones and tablets and displays the pet avatar on multiple devices. This allows the pet avatar to link with other devices and support communication throughout the house.

[0048] The conversation generation unit enables the pet avatar to support multiple languages ​​and conversations in different languages. The conversation generation unit, for example, adds a function that enables the pet avatar to support multiple languages ​​and conversations in different languages. For example, it enables the pet avatar to converse in multiple languages, such as English and French. The conversation generation unit also develops a multilingual conversation function and builds a system in which the pet avatar supports conversations in different languages. For example, the pet avatar responds in a language selected by the owner. Furthermore, the conversation generation unit provides a function that enables the pet avatar to support multiple languages ​​and converse in different languages ​​in real time. For example, it automatically detects the language spoken by the owner and responds in that language. This enables the pet avatar to support multiple languages ​​and conversations in different languages.

[0049] The nurturing unit can monitor the health condition and growth process of the pet avatar in detail and provide feedback to the owner. For example, the nurturing unit can add a function to monitor the health condition and growth process of the pet avatar in detail and provide feedback to the owner. For example, the pet avatar's weight and activity level can be reported periodically. The nurturing unit can also develop a system that monitors the health condition and growth process and provides advice to the owner based on that data. For example, it can provide advice on the pet avatar's diet and exercise. Furthermore, the nurturing unit can monitor the health condition and growth process of the pet avatar in real time and provide immediate feedback to the owner. For example, it can send an alert if it detects an abnormality in the pet avatar. This makes it possible to monitor the health condition and growth process of the pet avatar in detail and provide feedback to the owner.

[0050] The training unit can hold training events in which pet avatars compete or cooperate with other pet avatars. For example, the training unit adds a function to hold training events in which pet avatars compete or cooperate with other pet avatars. For example, a race event in which pet avatars compete with each other is held. The training unit also develops training events in which pet avatars cooperate with other pet avatars to complete tasks. For example, an event in which pet avatars cooperate with each other to solve a puzzle is provided. Furthermore, the training unit builds a system in which pet avatars cooperate with other pet avatars to hold training events. For example, an event in which pet avatars cooperate with each other to complete a mission is held. This makes it possible to hold training events in which pet avatars compete or cooperate with other pet avatars.

[0051] The raising unit allows the pet avatar to propose a raising plan that matches the owner's lifestyle. For example, the raising unit adds a function that allows the pet avatar to analyze the owner's lifestyle and propose a raising plan based on that data. For example, a raising plan that matches the owner's exercise habits is provided. The raising unit also develops a system that allows the pet avatar to propose an appropriate raising plan based on the owner's lifestyle. For example, a raising plan that matches the owner's eating habits is provided. Furthermore, the raising unit builds a function that allows the pet avatar to learn the owner's lifestyle and automatically propose a raising plan based on that data. For example, a raising plan that matches the owner's sleeping habits is provided. This allows the pet avatar to propose a raising plan that matches the owner's lifestyle.

[0052] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0053] The pet avatar system can further include a music player. The music player has the function of playing music selected by the owner. For example, when the owner wants to relax with the pet avatar, relaxing music is played. The music player can also play background music when the pet avatar performs a specific action. For example, fun music is played when the pet avatar is playing. Furthermore, the music player can automatically select and play music according to the owner's preferences. This allows the pet avatar system to further enrich communication between the owner and the pet avatar through music.

[0054] The pet avatar system can further include an exercise tracking unit. The exercise tracking unit has the function of collecting exercise data from the owner and causing the pet avatar to behave accordingly. For example, when the owner is jogging, the pet avatar will jog along with the owner. The exercise tracking unit can also allow the pet avatar to provide exercise advice based on the owner's exercise data. For example, if the owner is not getting enough exercise, the pet avatar will display a message encouraging the owner to exercise. Furthermore, the exercise tracking unit can analyze the owner's exercise data and cause the pet avatar to report on the owner's exercise progress. This allows the pet avatar system to support the owner's health management.

[0055] The pet avatar system may further include a weather information providing unit. The weather information providing unit has the function of acquiring current weather information and having the pet avatar display actions and messages accordingly. For example, on a rainy day, the pet avatar may be shown holding an umbrella. The weather information providing unit may also provide weather advice to the owner. For example, on a hot day, a message urging the owner to stay hydrated may be displayed. Furthermore, the weather information providing unit may provide weather information based on the owner's schedule. For example, when the owner plans to go out, the weather forecast may be displayed. In this way, the pet avatar system can support the owner's daily life.

[0056] The pet avatar system can further include a news provider. The news provider has the function of obtaining the latest news and having the pet avatar convey it to the owner. For example, the pet avatar reads the morning news. The news provider can also select and provide news tailored to the owner's interests. For example, if the owner is interested in sports, sports news can be displayed preferentially. Furthermore, the news provider can provide news based on the owner's schedule. For example, the owner can listen to the news while commuting to work. In this way, the pet avatar system can support the owner's information gathering.

[0057] The pet avatar system can further include a cooking support unit. The cooking support unit has a function in which the pet avatar acts as an assistant to support the owner when cooking. For example, the pet avatar reads out a recipe. The cooking support unit can also provide advice based on the owner's cooking progress. For example, the pet avatar can set a timer and instruct the owner on the next step. Furthermore, the cooking support unit can suggest recipes tailored to the owner's preferences. For example, if the owner wants to eat healthy, healthy recipes can be provided. In this way, the pet avatar system can support the owner's cooking experience.

[0058] The processing flow of the first embodiment will be briefly explained below.

[0059] Step 1: The image generation unit uses image generation AI to recreate an avatar of the pet in a virtual space, specifically on a smartphone app. For example, when an owner uploads a video of their pet, the image generation AI analyzes the video and generates an avatar that reproduces the pet's movements and sounds. It also adds a function to change the pet's facial expressions and emotions in real time, creating a more lifelike avatar. Furthermore, the owner's voice and smell can be input as data, allowing the pet avatar to react to them. Step 2: The communication unit allows various forms of communication with the pet avatar within the smartphone app. For example, when you talk to the pet avatar, the AI ​​that generates it understands what you're saying and responds appropriately. By overlaying the pet avatar onto real-world scenery via the smartphone camera, owners can experience the sensation of taking a walk with their pet. Furthermore, when the owner feeds their pet within the app, the pet avatar appears to be eating happily. Step 3: The conversation generation unit uses AI to engage in natural conversations with the pet avatar. For example, the avatar pet can start a conversation based on the past social media posts of a grieving pet owner. It also learns the owner's past conversation history and generates more personalized responses.

[0060] (Example 2) A pet avatar system according to an embodiment of the present invention is a system that enriches people's lives through communication with pet avatars. This system uses image generation AI to recreate an avatar of a pet in a virtual space, specifically on a smartphone app, and allows users to communicate with the pet avatar in various ways. This allows the pet avatar system to enrich people's lives through communication with the pet avatar.

[0061] The pet avatar system according to the embodiment includes an image generation unit, a communication unit, and a conversation generation unit. The image generation unit uses an image generation AI to recreate an avatar of a pet in a virtual space, specifically, on a smartphone app. For example, when an owner uploads a video of their pet, the image generation unit analyzes the video and generates an avatar that recreates the pet's movements and sounds. The image generation unit also adds a function to change the pet's facial expressions and emotions in real time, creating a more lifelike avatar. For example, when the owner speaks to the pet avatar, the pet avatar recreates a smiling or surprised expression. Furthermore, the image generation unit incorporates the owner's voice and scent as input data, allowing the pet avatar to respond accordingly. For example, the pet avatar's ears prick up when it hears the owner's voice. The communication unit enables various forms of communication with the pet avatar within the smartphone app. For example, when the communication unit speaks to the pet avatar, the generation AI understands what is being said and responds appropriately. The communication unit also superimposes a pet avatar onto a real-world scene via the smartphone camera, allowing owners to experience the sensation of walking with their pet. When an owner feeds their pet within the app, the communication unit displays the pet avatar happily eating. The conversation generation unit utilizes AI to engage in natural conversations with the pet avatar. For example, the conversation generation unit can have the avatar pet speak to the owner based on past social media posts by the owner experiencing pet loss. The conversation generation unit also learns the owner's past conversation history and generates more personalized responses. This allows the pet avatar system according to the embodiment to enrich people's lives through communication with the pet avatar. For example, owners experiencing pet loss can relive memories of their deceased pet and find emotional solace. Future owners can also experience life with a pet in a virtual space before adopting a pet.

[0062] When an owner uploads a video of their pet, the image generation unit uses the image generation AI to analyze the video and generate an avatar that reproduces the pet's movements and sounds. For example, when an owner uploads a video of their pet, the image generation unit uses the image generation AI to analyze the video and generate an avatar that reproduces the pet's movements and sounds. For example, the image generation AI analyzes the frames of the video to extract patterns of the pet's movements. The image generation AI also performs audio analysis to reproduce the pet's sounds. Furthermore, the image generation AI uses motion recognition technology to reproduce the pet's movements in real time. This makes it possible to generate a realistic pet avatar based on the owner's video of their pet.

[0063] When the communication unit speaks to the pet avatar, the generation AI can understand what is said and provide an appropriate response. For example, when the communication unit speaks to the pet avatar, the generation AI can understand what is said and provide an appropriate response. For example, the generation AI can analyze voice input and understand what is being spoken to. The generation AI can also analyze text input and understand what is being spoken to. The generation AI can also analyze gesture input and understand what is being spoken to. This makes it possible to have natural conversations with the pet avatar.

[0064] The communication unit superimposes the pet avatar on the real scenery through the smartphone camera, allowing the owner to experience as if they were taking a walk with their pet. For example, the communication unit superimposes the pet avatar on the real scenery through the smartphone camera, allowing the owner to experience as if they were taking a walk with their pet. For example, the communication unit uses AR technology to display the pet avatar on the real scenery. The communication unit also uses image recognition technology to analyze the real scenery and adjust the position of the pet avatar. Furthermore, the communication unit performs walking simulation to reproduce the movements of the pet avatar walking with the owner. In this way, by superimposing the pet avatar on the real scenery, the owner can experience as if they were taking a walk with their pet.

[0065] The conversation generation unit can have the avatar pet speak to the owner based on the content that the owner who is experiencing pet loss has posted on social media in the past. The conversation generation unit can have the avatar pet speak to the owner based on the content that the owner who is experiencing pet loss has posted on social media in the past. For example, the conversation generation unit analyzes the content of the owner's social media posts and selects a conversation topic based on that content. The conversation generation unit also learns the past conversation history and generates conversation that matches the owner's preferences. Furthermore, the conversation generation unit uses a generation AI to generate natural conversation. This allows the avatar pet to speak to the owner based on the content that the owner who is experiencing pet loss has posted on social media in the past.

[0066] The communication unit can display an image of the pet avatar happily eating when the owner feeds the pet within the app. For example, the communication unit can display an image of the pet avatar happily eating when the owner feeds the pet within the app. For example, the communication unit can perform the action of feeding the pet using a tap operation. Also, the communication unit can perform the action of feeding the pet using a voice command. Furthermore, the communication unit can display an image of the pet avatar happily eating using animation. In this way, it is possible to display an image of the pet avatar happily eating when the owner feeds the pet within the app.

[0067] The image generation unit may add a function to change the pet's facial expression and emotions in real time, thereby generating a more lifelike avatar. The image generation unit may add a function to change the pet's facial expression and emotions in real time, thereby generating a more lifelike avatar. For example, the image generation unit may use facial expression recognition technology to change the pet's facial expression in real time. The image generation unit may also use an emotion estimation algorithm to change the pet's emotions in real time. The image generation unit may also use animation technology to change the pet's facial expression and emotions in real time. This allows the pet's facial expression and emotions to be changed in real time, thereby generating a more lifelike avatar.

[0068] The image generation unit takes in the owner's voice and smell as input data, allowing the pet avatar to react to them. For example, the image generation unit could record the owner's voice and input that audio data into the image generation AI, adding a function that allows the pet avatar to react to the owner's voice. For example, the pet avatar's ears would prick up when it hears the owner's voice. The image generation unit could also use a sensor to detect the owner's smell, developing a function that allows the pet avatar to react based on that data. For example, the pet avatar would approach when it senses the owner's scent. Furthermore, the image generation unit could simultaneously take in the owner's voice and smell as input data, allowing the pet avatar to behave accordingly. For example, the pet avatar would run towards the owner with joy when it senses the owner's voice and smell. This makes it possible to generate a pet avatar that reacts to the owner's voice and smell.

[0069] The image generation unit can use the emotion estimation function to change the behavior and facial expression of the pet avatar according to the owner's emotions. For example, the image generation unit uses the emotion estimation function to analyze the owner's emotions in real time and change the behavior and facial expression of the pet avatar based on the results. For example, when the owner is smiling, the pet avatar also smiles. The image generation unit also causes the pet avatar to perform comforting or encouraging actions according to the owner's emotions. For example, when the owner is sad, the pet avatar acts as if it is snuggling up to the owner. Furthermore, the image generation unit uses the emotion estimation function to cause the pet avatar to automatically select an action according to the owner's emotions. For example, when the owner is angry, the pet avatar waits quietly. This allows the pet avatar's behavior and facial expression to change according to the owner's emotions.

[0070] The image generation unit generates avatars of different pet species, allowing simultaneous communication with multiple pets. For example, the image generation unit adds a function to generate avatars of different pet species, such as dogs, cats, and birds, using image generation AI. For example, it allows owners to control multiple pet avatars simultaneously. The image generation unit also develops a function that allows avatars of different pet species to interact with each other. For example, it recreates a scene where a dog avatar and a cat avatar play together. Furthermore, the image generation unit provides an interface for simultaneous communication with multiple pet avatars. For example, it allows owners to issue commands to multiple pet avatars at once. This allows avatars of different pet species to be generated and allows simultaneous communication with multiple pets.

[0071] The image generation unit uses the emotion estimation function to enable the pet avatar to comfort or encourage the owner according to their emotions. The image generation unit, for example, uses the emotion estimation function to analyze the owner's emotions and adds a function for the pet avatar to comfort or encourage the owner based on the results. For example, when the owner is sad, the pet avatar will come to their side. The image generation unit also develops a function for the pet avatar to encourage the owner with appropriate words or actions according to their emotions. For example, when the owner is depressed, the pet avatar will say encouraging words. Furthermore, the image generation unit uses the emotion estimation function to enable the pet avatar to automatically select an action according to the owner's emotions. For example, when the owner is stressed, the pet avatar will perform a relaxing action. This allows the pet avatar to comfort or encourage the owner according to their emotions.

[0072] The communication unit enables the pet avatar to understand the owner's schedule and provide reminders and alerts at the appropriate time. For example, the communication unit adds a function that enables the pet avatar to understand the owner's schedule and provide reminders at the appropriate time. For example, the pet avatar displays a reminder before the owner has a meeting. The communication unit also develops a function that enables the pet avatar to provide alerts based on the owner's schedule. For example, the pet avatar notifies the owner so that the owner does not forget an important appointment. Furthermore, the communication unit enables the pet avatar to learn the owner's schedule and provide reminders and alerts at the optimal time. For example, notifications are sent to avoid times when the owner is busy. This enables the pet avatar to understand the owner's schedule and provide reminders and alerts at the appropriate time.

[0073] The communication unit monitors the owner's health condition, allowing the pet avatar to provide health advice. For example, the communication unit may add a function to monitor the owner's health condition, allowing the pet avatar to provide health advice. For example, advice may be provided based on the owner's amount of exercise and diet. The communication unit may also analyze health data, allowing the pet avatar to provide appropriate health advice. For example, advice may be provided on improving sleep based on the owner's sleep data. Furthermore, the communication unit may monitor the owner's health condition in real time, allowing the pet avatar to provide immediate health advice. For example, the communication unit may detect the owner's stress level and suggest relaxation methods. This allows the owner's health condition to be monitored, allowing the pet avatar to provide health advice.

[0074] The communication unit uses the emotion estimation function to enable the pet avatar to suggest music and videos that correspond to the owner's emotions. For example, the communication unit uses the emotion estimation function to analyze the owner's emotions, and the pet avatar suggests music and videos based on the results. For example, when the owner wants to relax, the communication unit suggests relaxing music. The communication unit also develops a function that enables the pet avatar to select appropriate music and videos according to the owner's emotions. For example, when the owner wants to cheer up, the communication unit suggests uplifting videos. Furthermore, the communication unit uses the emotion estimation function to build a system that automatically suggests music and videos that match the owner's emotions. For example, when the owner is sad, the communication unit suggests comforting music. This allows the pet avatar to suggest music and videos that correspond to the owner's emotions.

[0075] The communication unit can add a function that allows the pet avatar to link with other smartphone apps and exercise together in conjunction with a fitness app. For example, the communication unit adds a function that allows the pet avatar to link with a fitness app and exercise together. For example, when the owner starts exercising, the pet avatar also exercises together. The communication unit also develops a function that allows the pet avatar to link with other smartphone apps and support various activities. For example, it can link with a cooking app to cook together. Furthermore, the communication unit builds a system that allows the pet avatar to link with other apps and support the owner's lifestyle. For example, it can link with a meditation app to meditate together. This allows the pet avatar to link with other smartphone apps and exercise together in conjunction with the fitness app.

[0076] The communication unit enables the pet avatar to communicate with family and friends, supporting the owner's social connections. For example, the communication unit adds a function that enables the pet avatar to communicate with family and friends, supporting the owner's social connections. For example, sending messages to family and friends. The communication unit also develops a function that facilitates the pet avatar's communication with family and friends. For example, supporting video calls with family and friends. Furthermore, the communication unit builds a system that supports the pet avatar's interactions with family and friends. For example, suggesting events with family and friends. This enables the pet avatar to communicate with family and friends, supporting the owner's social connections.

[0077] The communication unit uses the emotion estimation function to enable the pet avatar to suggest cooking recipes that correspond to the owner's emotions. For example, the communication unit uses the emotion estimation function to analyze the owner's emotions, and the pet avatar suggests cooking recipes based on the results. For example, when the owner wants to relax, the communication unit suggests relaxing dishes. The communication unit also develops a function that enables the pet avatar to select an appropriate cooking recipe according to the owner's emotions. For example, when the owner wants to cheer up, the communication unit suggests cheering dishes. Furthermore, the communication unit uses the emotion estimation function to build a system that automatically suggests cooking recipes that match the owner's emotions. For example, when the owner is sad, the communication unit suggests comforting dishes. This allows the pet avatar to suggest cooking recipes that correspond to the owner's emotions.

[0078] The communication unit enables the pet avatar to interact with real objects in the AR space and reproduce their movements. For example, the communication unit adds a function that enables the pet avatar to interact with real objects in the AR space. For example, the pet avatar chases a ball thrown by the owner. The communication unit also develops a system that recognizes real objects and enables the pet avatar to move accordingly. For example, the pet avatar reacts to and plays with a toy held by the owner. Furthermore, the communication unit builds a function that enables the pet avatar to move in conjunction with real objects in the AR space. For example, the pet avatar moves to a location specified by the owner. This enables the pet avatar to interact with real objects in the AR space and reproduce their movements.

[0079] The communication unit can add scenarios in which an adventure or game can be enjoyed with a pet avatar in a VR space. For example, the communication unit adds a scenario in which an adventure or game can be enjoyed with a pet avatar in a VR space. For example, a treasure hunt in a virtual forest with a pet avatar. The communication unit also develops VR games that can be enjoyed with a pet avatar. For example, a game in which the owner cooperates with the pet avatar to solve puzzles. Furthermore, the communication unit creates a scenario in which an adventure can be enjoyed with a pet avatar in a VR space, in which the owner completes various missions together with the pet avatar. For example, completing a mission together with the pet avatar in a virtual town. This makes it possible to add scenarios in which an adventure or game can be enjoyed with a pet avatar in a VR space.

[0080] The communication unit can add a function that allows the pet avatar to interact with other users' pet avatars in the AR space. For example, the communication unit adds a function that allows the pet avatar to interact with other users' pet avatars in the AR space. For example, it recreates a scene in which multiple pet avatars play together. The communication unit also develops a function that allows interaction with other users' pet avatars. For example, the pet avatars greet each other and play together. Furthermore, the communication unit builds a system in which the pet avatar operates in conjunction with other users' pet avatars in the AR space. For example, the pet avatars cooperate with each other to complete tasks. This allows the pet avatar to interact with other users' pet avatars in the AR space.

[0081] The communication unit can provide an experience where the pet avatar recreates a place that holds memories for the owner in a VR space and allows the owner to visit it together. For example, the communication unit recreates a park where the owner played as a child. The communication unit also develops a scenario where the pet avatar recreates a place that holds memories for the owner in a VR space and allows the owner to visit the place together with the pet avatar. For example, it recreates a place where the owner has traveled. Furthermore, the communication unit builds a system where the pet avatar recreates a place that holds memories for the owner in a VR space and allows the owner to experience it together. For example, it recreates the place where the owner had their wedding. This allows the pet avatar to recreate a place that holds memories for the owner in a VR space and allows the owner to visit it together.

[0082] The communication unit uses the emotion estimation function to enable the pet avatar to provide a relaxation experience that matches the owner's emotions. For example, the communication unit uses the emotion estimation function to analyze the owner's emotions, and the pet avatar provides a relaxation experience based on the results. For example, when the owner is feeling stressed, a relaxing experience is provided. The communication unit also develops a function that enables the pet avatar to select an appropriate relaxation experience according to the owner's emotions. For example, when the owner wants to relax, relaxing music or video is provided. Furthermore, the communication unit uses the emotion estimation function to build a system that automatically suggests relaxation experiences that match the owner's emotions. For example, when the owner is tired, a relaxing massage experience is provided. This allows the pet avatar to provide a relaxation experience that matches the owner's emotions.

[0083] The conversation generation unit allows the pet avatar to learn the owner's past conversation history and generate more personalized responses. For example, the conversation generation unit allows the pet avatar to learn the owner's past conversation history and generate personalized responses based on that data. For example, the pet avatar may respond based on topics the owner often talks about. The conversation generation unit may also develop a system that analyzes the owner's conversation history and allows the pet avatar to respond appropriately based on the content of the conversation. For example, the pet avatar may hold a conversation tailored to the owner's hobbies and interests. Furthermore, the conversation generation unit may add a function that learns the owner's past conversation history and allows the pet avatar to respond according to the owner's preferences. For example, the pet avatar may provide related information when talking about a favorite movie. This allows the pet avatar to learn the owner's past conversation history and generate more personalized responses.

[0084] The conversation generation unit enables the pet avatar to analyze the tone and speed of the owner's voice and respond accordingly. The conversation generation unit adds a function, for example, for the pet avatar to analyze the tone and speed of the owner's voice and respond accordingly based on that data. For example, when the owner speaks excitedly, the pet avatar also responds excitedly. The conversation generation unit also develops a system that analyzes the tone and speed of the owner's voice in real time and allows the pet avatar to respond accordingly. For example, when the owner speaks slowly, the pet avatar also responds slowly. Furthermore, the conversation generation unit analyzes the tone and speed of the voice and builds a function that allows the pet avatar to respond in accordance with the owner's emotions. For example, when the owner is angry, the pet avatar responds in a calming manner. This allows the pet avatar to analyze the tone and speed of the owner's voice and respond accordingly.

[0085] The conversation generation unit uses the emotion estimation function to enable the pet avatar to provide words of encouragement or comfort in accordance with the owner's emotions. The conversation generation unit, for example, uses the emotion estimation function to analyze the owner's emotions, and the pet avatar provides words of encouragement or comfort based on the results. For example, when the owner is depressed, the pet avatar offers words of encouragement. The conversation generation unit also develops a function that enables the pet avatar to select appropriate words of encouragement or comfort in accordance with the owner's emotions. For example, when the owner is sad, the pet avatar offers words of comfort. Furthermore, the conversation generation unit uses the emotion estimation function to build a system that automatically provides words of encouragement or comfort that match the owner's emotions. For example, when the owner is stressed, the pet avatar offers words to relax the owner. This enables the pet avatar to provide words of encouragement or comfort in accordance with the owner's emotions.

[0086] The conversation generation unit enables the pet avatar to link with other devices and support communication throughout the house. For example, the conversation generation unit adds a function that enables the pet avatar to link with a smart speaker and support communication throughout the house. For example, it allows all family members to converse with the pet avatar. The conversation generation unit also develops a system that enables the pet avatar to link with other devices and support communication throughout the house. For example, it links with a smart TV and displays the pet avatar on the screen. Furthermore, the conversation generation unit builds a function that enables the pet avatar to operate in conjunction with other devices. For example, it links with smartphones and tablets and displays the pet avatar on multiple devices. This allows the pet avatar to link with other devices and support communication throughout the house.

[0087] The conversation generation unit enables the pet avatar to support multiple languages ​​and conversations in different languages. The conversation generation unit, for example, adds a function that enables the pet avatar to support multiple languages ​​and conversations in different languages. For example, it enables the pet avatar to converse in multiple languages, such as English and French. The conversation generation unit also develops a multilingual conversation function and builds a system in which the pet avatar supports conversations in different languages. For example, the pet avatar responds in a language selected by the owner. Furthermore, the conversation generation unit provides a function that enables the pet avatar to support multiple languages ​​and converse in different languages ​​in real time. For example, it automatically detects the language spoken by the owner and responds in that language. This enables the pet avatar to support multiple languages ​​and conversations in different languages.

[0088] The conversation generation unit uses the emotion estimation function to enable the pet avatar to provide jokes and fun topics that correspond to the owner's emotions. The conversation generation unit, for example, uses the emotion estimation function to analyze the owner's emotions, and the pet avatar provides jokes and fun topics based on the results. For example, when the owner is feeling down, the pet avatar can cheer up by telling a joke. The conversation generation unit also develops a function that enables the pet avatar to select appropriate jokes and fun topics according to the owner's emotions. For example, when the owner wants to relax, the pet avatar can provide a fun topic. Furthermore, the conversation generation unit uses the emotion estimation function to build a system that automatically provides jokes and fun topics that match the owner's emotions. For example, when the owner is feeling stressed, the pet avatar can tell a joke that will relax the owner. This allows the pet avatar to provide jokes and fun topics that correspond to the owner's emotions.

[0089] The nurturing unit can monitor the health condition and growth process of the pet avatar in detail and provide feedback to the owner. For example, the nurturing unit can add a function to monitor the health condition and growth process of the pet avatar in detail and provide feedback to the owner. For example, the pet avatar's weight and activity level can be reported periodically. The nurturing unit can also develop a system that monitors the health condition and growth process and provides advice to the owner based on that data. For example, it can provide advice on the pet avatar's diet and exercise. Furthermore, the nurturing unit can monitor the health condition and growth process of the pet avatar in real time and provide immediate feedback to the owner. For example, it can send an alert if it detects an abnormality in the pet avatar. This makes it possible to monitor the health condition and growth process of the pet avatar in detail and provide feedback to the owner.

[0090] The raising unit uses the emotion estimation function to enable the pet avatar to provide raising advice according to the owner's emotions. For example, the raising unit uses the emotion estimation function to analyze the owner's emotions, and the pet avatar provides raising advice based on the results. For example, when the owner is feeling stressed, the raising unit suggests a raising method that will help the owner relax. The raising unit also develops a function that enables the pet avatar to select appropriate raising advice according to the owner's emotions. For example, when the owner wants to cheer up, the raising unit suggests a raising method that will cheer the owner up. Furthermore, the raising unit uses the emotion estimation function to build a system that automatically provides raising advice that matches the owner's emotions. For example, when the owner is sad, the raising unit suggests a raising method that will comfort the owner. This allows the pet avatar to provide raising advice according to the owner's emotions.

[0091] The training unit can hold training events in which pet avatars compete or cooperate with other pet avatars. For example, the training unit adds a function to hold training events in which pet avatars compete or cooperate with other pet avatars. For example, a race event in which pet avatars compete with each other is held. The training unit also develops training events in which pet avatars cooperate with other pet avatars to complete tasks. For example, an event in which pet avatars cooperate with each other to solve a puzzle is provided. Furthermore, the training unit builds a system in which pet avatars cooperate with other pet avatars to hold training events. For example, an event in which pet avatars cooperate with each other to complete a mission is held. This makes it possible to hold training events in which pet avatars compete or cooperate with other pet avatars.

[0092] The raising unit allows the pet avatar to propose a raising plan that matches the owner's lifestyle. For example, the raising unit adds a function that allows the pet avatar to analyze the owner's lifestyle and propose a raising plan based on that data. For example, a raising plan that matches the owner's exercise habits is provided. The raising unit also develops a system that allows the pet avatar to propose an appropriate raising plan based on the owner's lifestyle. For example, a raising plan that matches the owner's eating habits is provided. Furthermore, the raising unit builds a function that allows the pet avatar to learn the owner's lifestyle and automatically propose a raising plan based on that data. For example, a raising plan that matches the owner's sleeping habits is provided. This allows the pet avatar to propose a raising plan that matches the owner's lifestyle.

[0093] The raising unit uses the emotion estimation function to enable the pet avatar to set a raising goal according to the owner's emotions. For example, the raising unit uses the emotion estimation function to analyze the owner's emotions, and the pet avatar sets a raising goal based on the results. For example, when the owner wants to relax, the raising goal is set to help the owner relax. The raising unit also develops a function that enables the pet avatar to select an appropriate raising goal according to the owner's emotions. For example, when the owner wants to cheer up, the raising goal is set to cheer the owner up. Furthermore, the raising unit uses the emotion estimation function to build a system that automatically sets a raising goal that matches the owner's emotions. For example, when the owner is sad, the raising goal is set to comfort the owner. This allows the pet avatar to set a raising goal according to the owner's emotions.

[0094] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0095] The pet avatar system can further include a music player. The music player has the function of playing music selected by the owner. For example, when the owner wants to relax with the pet avatar, relaxing music is played. The music player can also play background music when the pet avatar performs a specific action. For example, fun music is played when the pet avatar is playing. Furthermore, the music player can automatically select and play music according to the owner's preferences. This allows the pet avatar system to further enrich communication between the owner and the pet avatar through music.

[0096] The pet avatar system can further include an exercise tracking unit. The exercise tracking unit has the function of collecting exercise data from the owner and causing the pet avatar to behave accordingly. For example, when the owner is jogging, the pet avatar will jog along with the owner. The exercise tracking unit can also allow the pet avatar to provide exercise advice based on the owner's exercise data. For example, if the owner is not getting enough exercise, the pet avatar will display a message encouraging the owner to exercise. Furthermore, the exercise tracking unit can analyze the owner's exercise data and cause the pet avatar to report on the owner's exercise progress. This allows the pet avatar system to support the owner's health management.

[0097] The pet avatar system may further include a weather information providing unit. The weather information providing unit has the function of acquiring current weather information and having the pet avatar display actions and messages accordingly. For example, on a rainy day, the pet avatar may be shown holding an umbrella. The weather information providing unit may also provide weather advice to the owner. For example, on a hot day, a message urging the owner to stay hydrated may be displayed. Furthermore, the weather information providing unit may provide weather information based on the owner's schedule. For example, when the owner plans to go out, the weather forecast may be displayed. In this way, the pet avatar system can support the owner's daily life.

[0098] The pet avatar system can further include a news provider. The news provider has the function of obtaining the latest news and having the pet avatar convey it to the owner. For example, the pet avatar reads the morning news. The news provider can also select and provide news tailored to the owner's interests. For example, if the owner is interested in sports, sports news can be displayed preferentially. Furthermore, the news provider can provide news based on the owner's schedule. For example, the owner can listen to the news while commuting to work. In this way, the pet avatar system can support the owner's information gathering.

[0099] The pet avatar system can further include a cooking support unit. The cooking support unit has a function in which the pet avatar acts as an assistant to support the owner when cooking. For example, the pet avatar reads out a recipe. The cooking support unit can also provide advice based on the owner's cooking progress. For example, the pet avatar can set a timer and instruct the owner on the next step. Furthermore, the cooking support unit can suggest recipes tailored to the owner's preferences. For example, if the owner wants to eat healthy, healthy recipes can be provided. In this way, the pet avatar system can support the owner's cooking experience.

[0100] The pet avatar system can further use an emotion estimation function to provide a relaxation experience that corresponds to the owner's emotions. For example, when the owner is feeling stressed, the pet avatar can suggest relaxing music or videos. The emotion estimation function can also be used to suggest relaxation methods that correspond to the owner's emotions. For example, when the owner is tired, the pet avatar can teach them how to give a massage. The emotion estimation function can also be used to automatically provide a relaxation experience that corresponds to the owner's emotions. For example, when the owner is feeling down, the pet avatar can say encouraging words. In this way, the pet avatar system can provide a relaxation experience that corresponds to the owner's emotions.

[0101] The pet avatar system can further use an emotion estimation function to play music that corresponds to the owner's emotions. For example, when the owner wants to relax, relaxing music is played. The emotion estimation function can also be used to create a music playlist that corresponds to the owner's emotions. For example, when the owner wants to cheer up, a playlist of uplifting music is provided. The emotion estimation function can also be used to automatically select and play music that matches the owner's emotions. For example, when the owner is sad, comforting music is played. In this way, the pet avatar system can provide a musical experience that corresponds to the owner's emotions.

[0102] The pet avatar system can further use the emotion estimation function to provide exercise advice according to the owner's emotions. For example, when the owner is feeling stressed, it can suggest relaxing exercises. The emotion estimation function can also be used to create an exercise plan according to the owner's emotions. For example, when the owner wants to cheer up, it can suggest energetic exercises. The emotion estimation function can also be used to automatically provide exercise advice tailored to the owner's emotions. For example, when the owner is tired, it can suggest light stretching. In this way, the pet avatar system can provide exercise advice according to the owner's emotions.

[0103] The pet avatar system can further use the emotion estimation function to provide mental health support according to the owner's emotions. For example, when the owner is feeling stressed, the system can suggest ways to help the owner relax. The emotion estimation function can also be used to provide mental health advice according to the owner's emotions. For example, when the owner is feeling down, the system can offer encouraging words. The emotion estimation function can also be used to automatically provide mental health support tailored to the owner's emotions. For example, when the owner is feeling anxious, the system can teach them breathing techniques to help them relax. In this way, the pet avatar system can provide mental health support according to the owner's emotions.

[0104] The pet avatar system can further use an emotion estimation function to provide entertainment that matches the owner's emotions. For example, when the owner wants to relax, relaxing movies and dramas can be suggested. The emotion estimation function can also be used to create an entertainment playlist that matches the owner's emotions. For example, when the owner wants to cheer up, a playlist of uplifting movies and dramas can be suggested. The emotion estimation function can also be used to automatically select and provide entertainment that matches the owner's emotions. For example, when the owner is sad, comforting movies and dramas can be suggested. In this way, the pet avatar system can provide an entertainment experience that matches the owner's emotions.

[0105] The processing flow of the second embodiment will be briefly explained below.

[0106] Step 1: The image generation unit uses image generation AI to recreate an avatar of the pet in a virtual space, specifically on a smartphone app. For example, when an owner uploads a video of their pet, the image generation AI analyzes the video and generates an avatar that reproduces the pet's movements and sounds. It also adds a function to change the pet's facial expressions and emotions in real time, creating a more lifelike avatar. Furthermore, the owner's voice and smell can be input as data, allowing the pet avatar to react to them. Step 2: The communication unit allows various forms of communication with the pet avatar within the smartphone app. For example, when you talk to the pet avatar, the AI ​​that generates it understands what you're saying and responds appropriately. By overlaying the pet avatar onto real-world scenery via the smartphone camera, owners can experience the sensation of taking a walk with their pet. Furthermore, when the owner feeds their pet within the app, the pet avatar appears to be eating happily. Step 3: The conversation generation unit uses AI to engage in natural conversations with the pet avatar. For example, the avatar pet can start a conversation based on the past social media posts of a grieving pet owner. It also learns the owner's past conversation history and generates more personalized responses.

[0107] 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.

[0108] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0109] 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.

[0110] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0111] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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).

[0116] 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.

[0117] 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.

[0118] 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.

[0119] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0120] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0121] 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.

[0122] 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.

[0123] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0124] 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.

[0125] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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).

[0131] 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.

[0132] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0133] 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.

[0134] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0135] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0136] 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.

[0137] 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.

[0138] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0139] 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.

[0140] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0141] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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).

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0151] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0152] 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.

[0153] 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.

[0154] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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).

[0160] 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.

[0161] 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."

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0173] 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]

[0174] 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. The system includes an image generation unit that uses image generation AI to recreate an avatar of a pet in a virtual space, specifically on a smartphone app; a communication unit that allows various communications with the pet avatar within the smartphone app; and a conversation generation unit that utilizes the generation AI to have natural conversations with the pet avatar. A system characterized by:

2. The image generation unit When the owner uploads a video of their pet, the image generation AI analyzes the video and generates the avatar that reproduces the pet's movements and sounds.

2. The system of claim 1.

3. The communication unit When you talk to the pet avatar, the AI ​​that generates it will understand what you're saying and respond appropriately.

2. The system of claim 1.

4. The image generation unit Using the image generation AI, the growth process of the pet avatar is simulated, reproducing the changes from a puppy to an adult dog.

2. The system of claim 1.

5. The communication unit The pet avatar keeps track of the owner's schedule and provides timely reminders and alerts.

2. The system of claim 1.

6. The communication unit In the AR space, the pet avatar interacts with real objects and reproduces their movements.

2. The system of claim 1.

7. The conversation generation unit The pet avatar learns from the owner's past conversation history to generate more personalized responses.

2. The system of claim 1.

8. The Development Department The pet avatar provides care advice according to the owner's feelings.

2. The system of claim 1.

Images