system

Abstract

We provide the system. [Solution] Means for obtaining user registration information, A means of analyzing the registration information and recommending relevant virtual groups, A means of allowing users to join a virtual group of their choice anonymously, Means to support interaction within the virtual group, A means of suggesting new interests and activities to users, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, especially the elderly are increasingly suffering from a sense of social isolation, and this loneliness poses a threat to mental health and quality of life. In addition, since the elderly have limited opportunities to find new hobbies and activities, the richness of their daily life is declining. There is a need to solve such problems and provide an environment in which the elderly can actively participate in society.

Means for Solving the Problems

[0005] This invention provides a system that acquires user registration information and recommends relevant virtual groups based on the user's interests and preferences. Users can join virtual groups anonymously, and the system promotes social connections by supporting interaction within the groups. Furthermore, it enriches daily life by suggesting new interests and activities to users. This solution makes it possible to reduce social isolation among the elderly and support a fulfilling social life.

[0006] "User" refers to an individual who uses this system, and primarily includes elderly people.

[0007] "Registration information" refers to information about a user's personal interests and preferences that they provide to the system.

[0008] "Analysis" refers to the information processing used to identify related virtual groups based on user registration information.

[0009] A "virtual group" refers to an online group composed of users who share common interests or preferences and maintain anonymity.

[0010] "Recommendation" refers to the act of presenting a virtual group that is suitable for the user.

[0011] "Anonymity" refers to the characteristic of interacting with users without disclosing their personal information.

[0012] "Joining" refers to the process of a user joining a virtual group of their choice.

[0013] "Interaction" refers to activities that involve communication and information exchange among users within a virtual group.

[0014] "Support" refers to the assistance that the system provides to enable users to interact smoothly within a virtual group.

[0015] "Suggestions for interests and activities" refers to the system suggesting new hobbies and activities to the user based on their preferences. [Brief explanation of the drawing]

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units 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), and the like.

[0020] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] As shown in Figure 1, the 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.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] This invention is a virtual community formation system using an autonomous AI agent to alleviate feelings of loneliness and enable users to enjoy a richer social life. The specific form of implementing this system is described below.

[0038] In this system, users first register information about their interests and hobbies via their device. Users are not required to provide their names or personal information; anonymity is maintained by entering information specific to their interests and hobbies. This information is transmitted from the device to the server and managed appropriately within the system.

[0039] Next, the server uses an AI agent to analyze the user's registration information in detail. Based on interests and hobbies, the AI ​​agent selects the most suitable virtual groups from a large number of options and creates a recommendation list. This recommendation list prioritizes virtual groups with high relevance.

[0040] The server sends the generated recommendation list to the terminal, which then visually presents it to the user. The user can select groups of interest from the recommendation list and indicate their desire to join them using the terminal. This request information is then sent back to the server, confirming the user's anonymous participation in the virtual group.

[0041] The server recognizes newly joined users in a virtual group and provides support functions to facilitate interaction within the group. These support functions include messaging, bulletin board use, and online meeting scheduling. Users can use these functions to communicate smoothly with other members.

[0042] Furthermore, the server utilizes an AI agent to suggest new hobbies and activities based on the user's activity history and changing interests. These suggestions are notified to the user via their device, allowing them to enrich their daily life by joining new communities and activities.

[0043] For example, if a user is interested in "pottery" and "reading," the AI ​​agent will recommend virtual groups such as a "pottery club" or a "reading club." Users can join these groups and anonymously discuss pottery techniques or recently read books with other members. The AI ​​agent also suggests new activities such as "online pottery workshops" and "book clubs featuring famous authors," encouraging participation and broadening the user's hobbies and activities.

[0044] In this way, the present invention functions as a system that can alleviate social isolation among the elderly and provide them with a fulfilling daily life.

[0045] The following describes the processing flow.

[0046] Step 1:

[0047] Users create accounts using their devices and register information about their interests and hobbies. This information is entered in a format that does not allow for personal identification in order to maintain user anonymity.

[0048] Step 2:

[0049] The terminal sends the information entered by the user to the server. The server stores this information in a database and prepares it for later processing.

[0050] Step 3:

[0051] The server activates an AI agent and analyzes the user's registration information in detail. The AI ​​agent selects an appropriate virtual group from the library while comparing it with the registration information.

[0052] Step 4:

[0053] The server generates a list of selected virtual groups and sends it to the terminal as a recommendation list. This list is sorted in order of relevance to the user.

[0054] Step 5:

[0055] The terminal displays a recommended list received from the server to the user. The user reviews the list and selects the virtual group they wish to join.

[0056] Step 6:

[0057] The user's selection is sent to the server via the terminal. The server records this selection in a database and configures the user to join the virtual group they selected.

[0058] Step 7:

[0059] The server enables communication tools such as chat functions and bulletin boards to support interaction within the virtual groups that users participate in.

[0060] Step 8:

[0061] Users can use their devices to exchange anonymous messages with other members within a virtual group and discuss activities that interest them.

[0062] Step 9:

[0063] The server uses an AI agent to analyze the user's activity history and changes in interests. It then suggests new hobbies and activities to the user, enriching their daily life.

[0064] Step 10:

[0065] The device notifies the user of new suggestions from the server and guides the user to new communities or activities if they are interested.

[0066] (Example 1)

[0067] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0068] In modern society, feelings of loneliness are increasing among users, and addressing this has become a social issue. Traditional online communities sometimes struggle to provide virtual groups that perfectly match the diverse interests and hobbies of users. Furthermore, there is a need for an environment where users can participate with peace of mind while maintaining the privacy of their personal information. Therefore, a new system is needed that encourages users to participate in the most suitable virtual groups based on their hobbies and interests, and supports the realization of a fulfilling social life.

[0069] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0070] In this invention, the server includes means for acquiring information based on the user's interests, means for analyzing said information using a generation AI model and recommending virtual groups, and means for joining the user to an anonymously selected virtual group. This allows the user to participate in the most suitable virtual group based on their interests while protecting their privacy.

[0071] "User interest-based information" refers to information entered by users regarding their interests and hobbies, and is obtained while maintaining anonymity.

[0072] A "generative AI model" is an artificial intelligence model used to generate prompt sentences based on user input and to analyze related virtual groups.

[0073] A "virtual group" refers to an online community selected by AI based on the user's interests and hobbies.

[0074] "Methods for anonymously joining selected virtual groups" refer to mechanisms that allow users to participate in the relevant community while protecting their privacy.

[0075] "Means of communication" refers to functions that support communication among participants within a virtual group, and includes message exchange, bulletin boards, and meeting scheduling.

[0076] "Activity history-based suggestions" is a process that analyzes a user's past activities and changes in interests to recommend new hobbies or groups they should join.

[0077] This system provides an environment where users can join virtual groups best suited to their interests and hobbies. Its implementation requires the collaboration of terminals, servers, and generative AI models.

[0078] The device collects information about the user's interests and hobbies and sends it anonymously to the server. Users enter specific hobbies such as "pottery" or "reading," but this information does not include any personally identifiable details. The device is responsible for processing this information and securely transferring it to the server.

[0079] The server inputs the received information into a generative AI model, which then generates prompts based on the user's interests. For example, a prompt such as "Find a new virtual community related to pottery" might be generated. Based on these prompts, the generative AI model analyzes and recommends virtual groups that match the user's interests. The recommendation results are stored on the server and prepared to respond to the user as needed.

[0080] The server sends the generated information back to the terminal, which then displays it visually to the user. The user selects a virtual group of interest through the screen and completes the process of joining it anonymously. During this process, the server confirms the user's selection and takes care to maintain anonymity within the virtual group.

[0081] As a concrete example of its operation, the AI ​​agent recommends selected groups such as a "reading club" or a "pottery circle," and further encourages users to participate in an "online pottery workshop," thereby providing users with a variety of options. Through this system, users can safely experience participation in diverse virtual groups and form social connections.

[0082] In this configuration, hardware such as terminals and servers, and software such as generative AI models, work together to maximize user satisfaction.

[0083] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0084] Step 1:

[0085] Users input information about their interests and hobbies through the terminal. This input, such as "pottery" or "reading," is sent to the server while maintaining user anonymity. The terminal's role is to collect information from the user and securely transfer the data to the server using a communication protocol.

[0086] Step 2:

[0087] The server receives data sent from the terminal. It inputs the user's interest information received as input into a generating AI model and starts data analysis. This analysis generates prompt sentences to extract candidate virtual groups. Specifically, a prompt such as "Find a new virtual community related to pottery" is generated, and based on this, virtual groups related to the user's interests are selected. The server saves the analysis results to an internal database.

[0088] Step 3:

[0089] The server uses the generated prompt to list potential virtual groups and sends them to the terminal. The list prioritizes highly relevant virtual groups, such as "pottery club" or "reading club." This output is sent to the terminal and presented to the user visually.

[0090] Step 4:

[0091] The user selects a group of interest from a virtual group list displayed on their device. The selected information is sent back to the server. At this point, the user clarifies which group they wish to join, and the server confirms the joining process based on this information. The server then completes the process of anonymously adding the user to the selected group.

[0092] Step 5:

[0093] The server provides features to support smooth communication after a user's membership in a virtual group is confirmed. Specifically, these include features such as message boards, chat rooms, and online meeting settings. This allows users to actively interact with other members. The server manages these features and supports user communication.

[0094] Step 6:

[0095] The server periodically monitors the user's activity history and suggests new activities and groups based on changes in their interests. Examples include "online pottery workshops" and "book clubs with renowned authors." These suggestions are notified to the user via their device, providing opportunities to discover new interests. In this way, the server promotes diversity in the user's activities.

[0096] (Application Example 1)

[0097] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0098] In modern society, many people feel lonely and struggle to find connections with others. This is especially true for the elderly and those working remotely, who have limited opportunities for physical interaction and find it difficult to find psychological support or new interests. Furthermore, when using technology to participate in communities, challenges arise such as complex interfaces and difficulty in finding communities that align with their interests.

[0099] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0100] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for providing robotic mediation to support user participation based on said recommendations. This makes it possible for users to easily join virtual groups that suit their interests, reduce feelings of loneliness, and enjoy a richer social life.

[0101] "Means of obtaining user registration information" refers to methods for users to input information related to their interests and preferences, and for that information to be collected in a database.

[0102] "Methods for analyzing registration information and recommending relevant virtual groups" refers to analytical methods that use acquired user information to identify communities suitable for that user and present the optimal options.

[0103] "Methods for anonymously joining desired virtual groups" refers to the process of allowing users to participate in selected virtual communities while keeping their identities confidential.

[0104] "Means of supporting interaction within a virtual group" refers to methods of providing technical support to facilitate smooth communication among community members.

[0105] "Means of suggesting new interests and activities to users" refers to methods of introducing new hobbies and activities based on the user's past behavior and interests.

[0106] "Robot-mediated mediation" refers to a process that utilizes mechanical devices to provide physical or vocal support when a user participates in a virtual group in their daily life.

[0107] The system implementing this invention begins with the user entering registration information about their interests and preferences via a terminal. The terminal can be a common electronic device such as a smartphone or personal computer, and the user enters the information using a dedicated application. The entered information is transmitted to a cloud server while ensuring security.

[0108] The server analyzes the received registration information in detail using a generating AI model. For example, it uses machine learning libraries such as TENSORFLOW® or PyTorch to extract features based on the user's interests. Based on the analyzed data, it generates a list of recommended virtual groups that are relevant to the user. This recommendation list is sent to the user's device and presented visually or audibly.

[0109] A robotic mediation mechanism is used for virtual groups selected by the user. Here, a consumer robot (e.g., SoftBank's Pepper) assists the participation process through voice and display based on the user's selection. This allows the user to participate in the virtual group anonymously and communicate smoothly with other members. In addition, an AI agent suggests new interests and activities and notifies the user through the terminal or robot, thereby broadening the range of the user's hobbies and activities.

[0110] When a user enters "I'm interested in cooking," the server analyzes this information and recommends virtual groups such as "online cooking clubs" or "recipe exchange forums." For example, a prompt might say, "The user's interest is cooking. Based on this interest, please recommend a new virtual group." The robot then enhances the user experience by providing voice guidance on how to join the selected virtual group.

[0111] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0112] Step 1:

[0113] The user uses the device to input information about their interests and preferences. This input is temporarily stored within the device. This input is performed by the user using a dedicated application and is saved in text data format.

[0114] Step 2:

[0115] The device sends the stored user information to a cloud server. The data is encrypted over the internet and securely uploaded to the cloud. In this step, the entered text data of interests and preferences is transferred to the server.

[0116] Step 3:

[0117] The server analyzes the received user information. Using a generative AI model, it extracts features related to the user's interests and processes the data. Machine learning libraries such as TensorFlow and PyTorch are used for this process. The output is the feature extraction results based on the user's interests.

[0118] Step 4:

[0119] The server creates a list of relevant virtual groups based on the analysis results. The AI ​​agent uses prompts to identify the optimal virtual group. In this step, the groups most relevant to the interests are listed.

[0120] Step 5:

[0121] The server sends the generated list of recommended virtual groups to the terminal. The terminal receives this list and presents it to the user visually or audibly. The output on the terminal is the list of recommended virtual groups.

[0122] Step 6:

[0123] The user selects a virtual group that interests them. The selected information is then sent back to the server via the terminal. Data selection based on the user's choice takes place here.

[0124] Step 7:

[0125] The server confirms the user's selection of the virtual group and sends the information to the robot. The robot receives the instructions and operates to assist the user in joining the selected virtual group.

[0126] Step 8:

[0127] The robot uses voice and a display to guide the user through the participation process. This guidance allows the user to join the virtual group anonymously and begin interacting with other members. The output is a detailed guide to the user's participation procedure.

[0128] Step 9:

[0129] The server explores and suggests new interests and activities as the user progresses within the virtual group. It then reviews the new activity and notifies the user via a terminal or robot. Suggestions for new interests and activities are output.

[0130] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0131] This invention is a system designed to alleviate users' feelings of social isolation and support a fulfilling social life. In particular, by combining it with an emotion engine, it recognizes the user's emotional state and recommends appropriate virtual groups and activities. The specific implementation of this system is described below.

[0132] This system allows users to create accounts using their devices and register information about their interests and hobbies. In addition, it incorporates an emotion engine that identifies user emotions, analyzing text messages and voice data entered by the user to understand their emotional state. This emotional state is also sent to the server while maintaining anonymity.

[0133] The server has an AI agent analyze the acquired user registration information and emotional state. The AI ​​agent considers not only the user's hobbies and preferences but also their current emotional state to identify the most suitable virtual group and create a recommendation list. For example, if a user is interested in "music" and "travel" but is also feeling "stressed," the AI ​​agent can recommend things like "healing music clubs" or "relaxation travel discussions."

[0134] The server sends these recommendation lists to the terminal, which then visually presents them to the user. The user can choose a recommended virtual group and join anonymously through the server. The server provides features such as a messaging platform and event notifications to facilitate interaction between the virtual groups the user has joined.

[0135] Furthermore, the emotion engine can also suggest new activities and hobbies that are tailored to the user's emotions. This can support the user's psychological stability and growth, and bring new vitality to their daily life. For example, when a user is feeling "sadness," the AI ​​can suggest a "positive story reading group" or an "art therapy session" to help improve the user's mood.

[0136] This system allows users to enjoy a better quality of life not only by participating in virtual groups based on their interests, but also by engaging in activities and interactions that take their emotions into consideration. The present invention aims to provide a creative solution that positively impacts the lifestyles of many users, including the elderly.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] Users log in to the system using their device and register information about their interests and hobbies. The device also sends text messages and voice data entered by the user to the emotion engine.

[0140] Step 2:

[0141] The device sends registered information and emotional data to the server. The server securely stores this information in a database.

[0142] Step 3:

[0143] The server activates an AI agent to analyze the user's interests, preferences, and emotional data. This analysis is performed in multiple dimensions, aiming to select the optimal virtual group that takes the user's psychological state into account.

[0144] Step 4:

[0145] The server generates a list of recommended virtual groups suitable for the user based on analysis. This list is prioritized based on sentiment data.

[0146] Step 5:

[0147] The server sends the generated recommendation list to the terminal, which then presents it to the user. The user can then choose which virtual groups they wish to join from the recommended list.

[0148] Step 6:

[0149] The user's selection is notified from the terminal to the server, and the server anonymously allows the user to join the selected virtual group.

[0150] Step 7:

[0151] The server provides support tools such as message exchange functions, bulletin boards, and online event notifications to facilitate interaction within the virtual group.

[0152] Step 8:

[0153] Users can use their devices to communicate anonymously with other members within a virtual group and actively discuss activities that interest them.

[0154] Step 9:

[0155] The server uses an emotion engine to continuously monitor the user's emotional state and suggests new interests and activities accordingly.

[0156] Step 10:

[0157] The device will notify users of new suggestions, allowing them to enrich their daily lives by participating in new communities and activities.

[0158] (Example 2)

[0159] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0160] In modern society, feelings of social isolation and psychological anxiety are increasing. In this context, there is a growing need for systems that allow users to participate in appropriate virtual groups and activities that take their emotional state into consideration. Conventional systems tend to consider only the user's interests and preferences, neglecting their emotional state, which can lead to unnecessary stress and dissatisfaction.

[0161] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0162] In this invention, the server includes means for acquiring user registration information, means for analyzing the registration information and the user's emotional state to recommend relevant virtual groups, and means for suggesting new interests and activities to the user based on their emotional state. This allows users to participate in virtual groups selected based on their individual emotions and preferences, thereby enhancing their sense of psychological security and social interaction.

[0163] "User registration information" refers to data such as interests, preferences, and basic information that users provide to the system.

[0164] "Emotional state" refers to the user's current psychological condition, analyzed from their text and voice data.

[0165] A "virtual group" is an online group that users can participate in based on a specific theme or activity.

[0166] "Recommendation methods" refer to methods and technologies for identifying and suggesting the most suitable virtual group to a user based on their information and emotional state.

[0167] "Means of supporting interaction" refer to functions and services designed to facilitate communication and information exchange among users.

[0168] A "generative AI model" is an artificial intelligence algorithm used to analyze user information and generate optimal results.

[0169] This system is designed to help users reduce feelings of social isolation and lead fulfilling social lives. Specifically, it is implemented using a configuration that includes terminals, servers, and an emotion engine.

[0170] Users create accounts using their devices. These devices provide an interface for users to input information about their interests and hobbies, which allows for the collection of user registration information. This information is anonymized and transmitted to a server via the internet.

[0171] The device also sends text messages and voice data entered by the user to the emotion engine. This emotion engine utilizes natural language processing to analyze the data and understand the user's emotional state. The emotion engine operates on a cloud system and sends the analysis results to a server.

[0172] The server uses an AI agent based on a generating AI model to analyze the acquired user registration information and emotional state. Based on this data, the AI ​​agent identifies the optimal virtual group and creates a recommendation list. The selection of virtual groups is tailored to the user's hobbies and preferences, and by taking into account their recent emotional state, more personalized recommendations are provided.

[0173] For example, if the AI ​​agent analyzes that a user is interested in "music" and "travel" and is feeling "stressed," it will recommend a "healing music club" or a "relaxation travel discussion."

[0174] An example of a prompt would be, "If a user is interested in cooking and is currently experiencing stress, what online communities or activities can you suggest?"

[0175] This system allows users to participate in virtual groups selected based on their emotions and preferences, experiencing a sense of psychological security and enhanced social interaction. The server provides messaging and event notification functions to support interaction within the virtual groups, encouraging users to actively participate.

[0176] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0177] Step 1:

[0178] The user uses their device to create a new account and enter information about their interests and hobbies. This information includes the user's name, email address, password, and categories of interest. The device collects this information, encrypts it, and sends it to the server. This prepares the server to store and manage the user's individual information.

[0179] Step 2:

[0180] Users input text messages or voice data on their devices. This data is analyzed by an emotion engine. The emotion engine uses natural language processing techniques to analyze the user's emotional state. Specifically, it extracts emotional features from the input data and assigns emotion labels. The analysis results are sent to the server as the user's emotional state.

[0181] Step 3:

[0182] The server starts analyzing the user's registration information and emotional state using a generative AI model with an AI agent. The AI ​​agent receives the user's interests, preferences, and emotional state as input information and processes the data to identify the optimal virtual groups and activities. Based on this analysis, the AI ​​agent generates a list of recommended virtual groups. As a result, a list of recommendations is created to be provided to the user.

[0183] Step 4:

[0184] The server sends the generated list of recommendations to the terminal. The terminal presents this information to the user in a visually easy-to-understand format. The user can select which virtual groups they wish to join from the presented list. Once the user selects a virtual group to join, that information is sent to the server, and the anonymous joining process is completed.

[0185] Step 5:

[0186] The server provides message exchange and event notification functions to facilitate interaction between users within virtual groups. This allows users to actively engage with activities and groups that interest them. It is also configured to enable direct message communication on specific platforms.

[0187] Step 6:

[0188] The emotion engine periodically monitors the user's emotional state and suggests new interests and activities. It notifies the server of suggestions based on the user's emotional changes, and the user is then presented with new activities tailored to their preferences. These suggestions are made to enhance the user's psychological growth and satisfaction.

[0189] (Application Example 2)

[0190] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0191] In modern society, feelings of social isolation and emotional instability affect many people, and there is a need for a system that understands the user's emotional state and promotes appropriate activities, particularly to alleviate feelings of isolation within the family. This invention aims to improve users' feelings of social isolation and mental health by recognizing the user's emotional state and suggesting appropriate virtual groups and activities based on that state.

[0192] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0193] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for acquiring audio and video data and recognizing the user's emotional state. This enables activity recommendations that are tailored to the user's emotions.

[0194] "User registration information" refers to personal information provided by the user, such as name, age, interests, hobbies, preferences, and related data.

[0195] A "virtual group" is a group of users who share common interests or goals and are formed on an online or digital platform.

[0196] "Communication support tools" are functions and services designed to facilitate communication between users, enabling features such as message exchange and event notifications.

[0197] "Means for recognizing emotional states" refer to technologies and devices that understand a user's emotions by analyzing audio and video data.

[0198] A "means of suggesting activities" is a system that presents users with new activities or groups they can join based on their interests, preferences, and emotional state.

[0199] The system that realizes this application example uses a consumer robot to recognize the user's emotional state and suggests appropriate virtual groups and activities. The system operates as follows:

[0200] The server receives voice and video data from the user, which is then sent to a cloud service. In particular, voice data is converted to text using Google Cloud's "Cloud Speech-to-Text," and the "Azure Face API" is used for sentiment analysis. This allows the user's emotional state to be recognized.

[0201] Next, the server uses AWS®'s "SageMaker" to analyze data based on the user's interests, preferences, and even their perceived emotional state. Based on the analysis results, the most suitable virtual groups and activities are recommended to the user.

[0202] The terminal (consumer robot) presents the user with a recommended list received from the server via voice and visual display. The robot can provide information to the user in a friendly manner and encourage participation through its speaker and display.

[0203] As a concrete example, let's imagine a scenario where a user uses this system while in their living room at home. The robot would sense the user's fatigue, play healing music to promote relaxation, and then suggest participation in an "online yoga class" or similar activity.

[0204] An example of a prompt message could be sent to the generating AI model with the instruction, "Identify the user's current emotions from voice and facial expression data, and suggest relaxation activities appropriate to that emotional state."

[0205] In this way, the system can empathize with the user's emotions, alleviate feelings of social isolation, and support a better life.

[0206] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0207] Step 1:

[0208] The user provides voice and video data to the robot, which acts as the terminal. The robot collects this data and sends it to the server. The input is voice and video data, and the output is sending this data to the cloud in a format that can be processed.

[0209] Step 2:

[0210] The server converts the audio data into text data using Google Cloud's "Cloud Speech-to-Text" service. In this step, audio data is received as input and text data is output.

[0211] Step 3:

[0212] The server sends video data to the Azure Face API to analyze the user's emotional state. Here, video data is taken as input, and the result of the assessment of the user's emotional state is output.

[0213] Step 4:

[0214] The server utilizes AWS's "SageMaker" to analyze data using a generative AI model based on acquired text data and emotional states. The input is text data and emotional information, and the output is a list of recommended activities.

[0215] Step 5:

[0216] The server sends a list of recommended activities based on the analysis results to the terminal. The server provides the terminal with data containing information on the optimal virtual group and activities as output.

[0217] Step 6:

[0218] The terminal presents the user with a list of recommended activities received from the server, using both voice and display. Here, the activity list is taken as input and output to the user in an easy-to-understand format.

[0219] Step 7:

[0220] Based on suggestions from the device, users select activities that interest them and engage in friendly communication. The input is the presented information, and the output is the user's willingness to participate.

[0221] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0222] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0223] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0224] [Second Embodiment]

[0225] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0226] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0227] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0228] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0229] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0230] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0231] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0232] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0233] The specific processing program 56 is an example of a "program" relating to the technology of this 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 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.

[0234] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0235] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0236] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0237] This invention is a virtual community formation system using an autonomous AI agent to alleviate feelings of loneliness and enable users to enjoy a richer social life. The specific form of implementing this system is described below.

[0238] In this system, users first register information about their interests and hobbies via their device. Users are not required to provide their names or personal information; anonymity is maintained by entering information specific to their interests and hobbies. This information is transmitted from the device to the server and managed appropriately within the system.

[0239] Next, the server uses an AI agent to analyze the user's registration information in detail. Based on interests and hobbies, the AI ​​agent selects the most suitable virtual groups from a large number of options and creates a recommendation list. This recommendation list prioritizes virtual groups with high relevance.

[0240] The server sends the generated recommendation list to the terminal, which then visually presents it to the user. The user can select groups of interest from the recommendation list and indicate their desire to join them using the terminal. This request information is then sent back to the server, confirming the user's anonymous participation in the virtual group.

[0241] The server recognizes newly joined users in a virtual group and provides support functions to facilitate interaction within the group. These support functions include messaging, bulletin board use, and online meeting scheduling. Users can use these functions to communicate smoothly with other members.

[0242] Furthermore, the server utilizes an AI agent to suggest new hobbies and activities based on the user's activity history and changing interests. These suggestions are notified to the user via their device, allowing them to enrich their daily life by joining new communities and activities.

[0243] For example, if a user is interested in "pottery" and "reading," the AI ​​agent will recommend virtual groups such as a "pottery club" or a "reading club." Users can join these groups and anonymously discuss pottery techniques or recently read books with other members. The AI ​​agent also suggests new activities such as "online pottery workshops" and "book clubs featuring famous authors," encouraging participation and broadening the user's hobbies and activities.

[0244] In this way, the present invention functions as a system that can alleviate social isolation among the elderly and provide them with a fulfilling daily life.

[0245] The following describes the processing flow.

[0246] Step 1:

[0247] Users create accounts using their devices and register information about their interests and hobbies. This information is entered in a format that does not allow for personal identification in order to maintain user anonymity.

[0248] Step 2:

[0249] The terminal sends the information entered by the user to the server. The server stores this information in a database and prepares it for later processing.

[0250] Step 3:

[0251] The server activates an AI agent and analyzes the user's registration information in detail. The AI ​​agent selects an appropriate virtual group from the library while comparing it with the registration information.

[0252] Step 4:

[0253] The server generates a list of selected virtual groups and sends it to the terminal as a recommendation list. This list is sorted in order of relevance to the user.

[0254] Step 5:

[0255] The terminal displays a recommended list received from the server to the user. The user reviews the list and selects the virtual group they wish to join.

[0256] Step 6:

[0257] The user's selection is sent to the server via the terminal. The server records this selection in a database and configures the user to join the virtual group they selected.

[0258] Step 7:

[0259] The server enables communication tools such as chat functions and bulletin boards to support interaction within the virtual groups that users participate in.

[0260] Step 8:

[0261] Users can use their devices to exchange anonymous messages with other members within a virtual group and discuss activities that interest them.

[0262] Step 9:

[0263] The server uses an AI agent to analyze the user's activity history and changes in interests. It then suggests new hobbies and activities to the user, enriching their daily life.

[0264] Step 10:

[0265] The device notifies the user of new suggestions from the server and guides the user to new communities or activities if they are interested.

[0266] (Example 1)

[0267] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0268] In modern society, feelings of loneliness are increasing among users, and addressing this has become a social issue. Traditional online communities sometimes struggle to provide virtual groups that perfectly match the diverse interests and hobbies of users. Furthermore, there is a need for an environment where users can participate with peace of mind while maintaining the privacy of their personal information. Therefore, a new system is needed that encourages users to participate in the most suitable virtual groups based on their hobbies and interests, and supports the realization of a fulfilling social life.

[0269] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0270] In this invention, the server includes means for acquiring information based on the user's interests, means for analyzing said information using a generation AI model and recommending virtual groups, and means for joining the user to an anonymously selected virtual group. This allows the user to participate in the most suitable virtual group based on their interests while protecting their privacy.

[0271] "User interest-based information" refers to information entered by users regarding their interests and hobbies, and is obtained while maintaining anonymity.

[0272] A "generative AI model" is an artificial intelligence model used to generate prompt sentences based on user input and to analyze related virtual groups.

[0273] A "virtual group" refers to an online community selected by AI based on the user's interests and hobbies.

[0274] "Methods for anonymously joining selected virtual groups" refer to mechanisms that allow users to participate in the relevant community while protecting their privacy.

[0275] "Means of communication" refers to functions that support communication among participants within a virtual group, and includes message exchange, bulletin boards, and meeting scheduling.

[0276] "Activity history-based suggestions" is a process that analyzes a user's past activities and changes in interests to recommend new hobbies or groups they should join.

[0277] This system provides an environment where users can join virtual groups best suited to their interests and hobbies. Its implementation requires the collaboration of terminals, servers, and generative AI models.

[0278] The terminal collects information about the user's interests and hobbies and sends it anonymously to the server. The user inputs specific hobbies such as "pottery" or "reading", but does not include content that can identify personal information. The terminal is responsible for processing this information and securely transferring it to the server.

[0279] The server inputs the received information into the generative AI model to generate prompt sentences based on the user's interests. For example, a prompt like "Find a new virtual community related to pottery" can be cited. Based on this prompt sentence, the generative AI model analyzes and recommends virtual groups that match the user's interests. The recommendation results are stored in the server and are prepared to respond to the user as needed.

[0280] The server sends the generated information back to the terminal again, and the terminal visually displays it to the user. The user selects the virtual group they are interested in through the screen and completes the procedure to participate anonymously. In this process, the server confirms the user's selection and takes care to ensure that anonymity within the virtual group is maintained.

[0281] As a specific example of the operation, the AI agent recommends selected groups such as "book clubs" or "pottery circles", and provides the user with various options in the form of encouraging participation in an "online pottery workshop". Through this system, users can safely experience participating in various virtual groups and form social connections.

[0282] In this form, the terminal and server as hardware, and the generative AI model as software cooperate to aim at extracting the user's satisfaction.

[0283] The flow of the specific process in Example 1 will be described using FIG. 11.

[0284] Step 1:

[0285] The user inputs information about their interests and hobbies through the terminal. The input information has specific examples such as "ceramics" or "reading", and is sent to the server while maintaining the user's anonymity. The role of the terminal is to collect information from the user and securely transfer the data to the server using a communication protocol.

[0286] Step 2:

[0287] The server receives the data sent from the terminal. The user's interest information received as input is entered into the generative AI model, and data analysis is started. Through this analysis, a prompt sentence for extracting candidate virtual groups is created. Specifically, a prompt such as "Find a new virtual community related to ceramics" is generated, and based on this, a virtual group related to the user's interests is selected. The server saves the analysis results in the internal database.

[0288] Step 3:

[0289] The server uses the generated prompt sentence to list up candidate virtual groups and sends it to the terminal. The list preferentially includes highly relevant virtual groups. For example, "Ceramics Circle" or "Reading Club" are applicable. This result is sent to the terminal and visually presented to the user.

[0290] Step 4:

[0291] The user selects a group of interest from the virtual group list presented on the terminal. The selected information is sent to the server again. At this time, it is clarified which group the user wishes to join, and based on this, the server finalizes the participation procedure. The server completes the process of anonymously allowing the user to join the selected group.

[0292] Step 5:

[0293] The server provides features to support smooth communication after a user's membership in a virtual group is confirmed. Specifically, these include features such as message boards, chat rooms, and online meeting settings. This allows users to actively interact with other members. The server manages these features and supports user communication.

[0294] Step 6:

[0295] The server periodically monitors the user's activity history and suggests new activities and groups based on changes in their interests. Examples include "online pottery workshops" and "book clubs with renowned authors." These suggestions are notified to the user via their device, providing opportunities to discover new interests. In this way, the server promotes diversity in the user's activities.

[0296] (Application Example 1)

[0297] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0298] In modern society, many people feel lonely and struggle to find connections with others. This is especially true for the elderly and those working remotely, who have limited opportunities for physical interaction and find it difficult to find psychological support or new interests. Furthermore, when using technology to participate in communities, challenges arise such as complex interfaces and difficulty in finding communities that align with their interests.

[0299] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0300] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for providing robotic mediation to support user participation based on said recommendations. This makes it possible for users to easily join virtual groups that suit their interests, reduce feelings of loneliness, and enjoy a richer social life.

[0301] "Means of obtaining user registration information" refers to methods for users to input information related to their interests and preferences, and for that information to be collected in a database.

[0302] "Methods for analyzing registration information and recommending relevant virtual groups" refers to analytical methods that use acquired user information to identify communities suitable for that user and present the optimal options.

[0303] "Methods for anonymously joining desired virtual groups" refers to the process of allowing users to participate in selected virtual communities while keeping their identities confidential.

[0304] "Means of supporting interaction within a virtual group" refers to methods of providing technical support to facilitate smooth communication among community members.

[0305] "Means of suggesting new interests and activities to users" refers to methods of introducing new hobbies and activities based on the user's past behavior and interests.

[0306] "Robot-mediated mediation" refers to a process that utilizes mechanical devices to provide physical or vocal support when a user participates in a virtual group in their daily life.

[0307] The system for implementing this invention starts with the user first inputting registration information regarding their interests and preferences via a terminal. The terminal can use common electronic devices such as smartphones or personal computers, and the user inputs information using a dedicated application. The input information is transmitted to the cloud server after ensuring security.

[0308] The server analyzes the received registration information in detail using a generated AI model. For example, it extracts features based on the user's interests using machine learning libraries such as TensorFlow or PyTorch. Based on the analyzed data, a list of recommended relevant virtual groups is generated. This recommendation list is transmitted to the user's terminal and presented visually or audibly.

[0309] For the virtual group selected by the user, an intermediary means by a robot is used. Here, a consumer robot (e.g., Pepper of SoftBank) supports the participation process through voice and display based on the user's selection. This allows the user to participate in the virtual group anonymously and communicate smoothly with other members. Also, an AI agent proposes new interests and activities and notifies them through the terminal or robot, thereby expanding the scope of the user's hobbies and activities.

[0310] When the user inputs that they "are interested in cooking", the server analyzes this information and recommends virtual groups such as "online cooking clubs" or "recipe exchange forums". As a specific example, the prompt "The user's interest is cooking. Based on this interest, please recommend a new virtual group." is used. The robot improves the user's experience by providing a voice guide on how to participate in the selected virtual group.

[0311] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0312] Step 1:

[0313] The user uses the device to input information about their interests and preferences. This input is temporarily stored within the device. This input is performed by the user using a dedicated application and is saved in text data format.

[0314] Step 2:

[0315] The device sends the stored user information to a cloud server. The data is encrypted over the internet and securely uploaded to the cloud. In this step, the entered text data of interests and preferences is transferred to the server.

[0316] Step 3:

[0317] The server analyzes the received user information. Using a generative AI model, it extracts features related to the user's interests and processes the data. Machine learning libraries such as TensorFlow and PyTorch are used for this process. The output is the feature extraction results based on the user's interests.

[0318] Step 4:

[0319] The server creates a list of relevant virtual groups based on the analysis results. The AI ​​agent uses prompts to identify the optimal virtual group. In this step, the groups most relevant to the interests are listed.

[0320] Step 5:

[0321] The server sends the generated list of recommended virtual groups to the terminal. The terminal receives this list and presents it to the user visually or audibly. The output on the terminal is the list of recommended virtual groups.

[0322] Step 6:

[0323] The user selects a virtual group that interests them. The selected information is then sent back to the server via the terminal. Data selection based on the user's choice takes place here.

[0324] Step 7:

[0325] The server confirms the user's selection of the virtual group and sends the information to the robot. The robot receives the instructions and operates to assist the user in joining the selected virtual group.

[0326] Step 8:

[0327] The robot uses voice and a display to guide the user through the participation process. This guidance allows the user to join the virtual group anonymously and begin interacting with other members. The output is a detailed guide to the user's participation procedure.

[0328] Step 9:

[0329] The server explores and suggests new interests and activities as the user progresses within the virtual group. It then reviews the new activity and notifies the user via a terminal or robot. Suggestions for new interests and activities are output.

[0330] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0331] This invention is a system designed to alleviate users' feelings of social isolation and support a fulfilling social life. In particular, by combining it with an emotion engine, it recognizes the user's emotional state and recommends appropriate virtual groups and activities. The specific implementation of this system is described below.

[0332] This system allows users to create accounts using their devices and register information about their interests and hobbies. In addition, it incorporates an emotion engine that identifies user emotions, analyzing text messages and voice data entered by the user to understand their emotional state. This emotional state is also sent to the server while maintaining anonymity.

[0333] The server has an AI agent analyze the acquired user registration information and emotional state. The AI ​​agent considers not only the user's hobbies and preferences but also their current emotional state to identify the most suitable virtual group and create a recommendation list. For example, if a user is interested in "music" and "travel" but is also feeling "stressed," the AI ​​agent can recommend things like "healing music clubs" or "relaxation travel discussions."

[0334] The server sends these recommendation lists to the terminal, which then visually presents them to the user. The user can choose a recommended virtual group and join anonymously through the server. The server provides features such as a messaging platform and event notifications to facilitate interaction between the virtual groups the user has joined.

[0335] Furthermore, the emotion engine can also suggest new activities and hobbies that are tailored to the user's emotions. This can support the user's psychological stability and growth, and bring new vitality to their daily life. For example, when a user is feeling "sadness," the AI ​​can suggest a "positive story reading group" or an "art therapy session" to help improve the user's mood.

[0336] This system allows users to enjoy a better quality of life not only by participating in virtual groups based on their interests, but also by engaging in activities and interactions that take their emotions into consideration. The present invention aims to provide a creative solution that positively impacts the lifestyles of many users, including the elderly.

[0337] The following describes the processing flow.

[0338] Step 1:

[0339] Users log in to the system using their device and register information about their interests and hobbies. The device also sends text messages and voice data entered by the user to the emotion engine.

[0340] Step 2:

[0341] The device sends registered information and emotional data to the server. The server securely stores this information in a database.

[0342] Step 3:

[0343] The server activates an AI agent to analyze the user's interests, preferences, and emotional data. This analysis is performed in multiple dimensions, aiming to select the optimal virtual group that takes the user's psychological state into account.

[0344] Step 4:

[0345] The server generates a list of recommended virtual groups suitable for the user based on analysis. This list is prioritized based on sentiment data.

[0346] Step 5:

[0347] The server sends the generated recommendation list to the terminal, which then presents it to the user. The user can then choose which virtual groups they wish to join from the recommended list.

[0348] Step 6:

[0349] The user's selection is notified from the terminal to the server, and the server anonymously allows the user to join the selected virtual group.

[0350] Step 7:

[0351] The server provides support tools such as message exchange functions, bulletin boards, and online event notifications to facilitate interaction within the virtual group.

[0352] Step 8:

[0353] Users can use their devices to communicate anonymously with other members within a virtual group and actively discuss activities that interest them.

[0354] Step 9:

[0355] The server uses an emotion engine to continuously monitor the user's emotional state and suggests new interests and activities accordingly.

[0356] Step 10:

[0357] The device will notify users of new suggestions, allowing them to enrich their daily lives by participating in new communities and activities.

[0358] (Example 2)

[0359] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0360] In modern society, feelings of social isolation and psychological anxiety are increasing. In this context, there is a growing need for systems that allow users to participate in appropriate virtual groups and activities that take their emotional state into consideration. Conventional systems tend to consider only the user's interests and preferences, neglecting their emotional state, which can lead to unnecessary stress and dissatisfaction.

[0361] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0362] In this invention, the server includes means for acquiring user registration information, means for analyzing the registration information and the user's emotional state to recommend relevant virtual groups, and means for suggesting new interests and activities to the user based on their emotional state. This allows users to participate in virtual groups selected based on their individual emotions and preferences, thereby enhancing their sense of psychological security and social interaction.

[0363] "User registration information" refers to data such as interests, preferences, and basic information that users provide to the system.

[0364] "Emotional state" refers to the user's current psychological condition, analyzed from their text and voice data.

[0365] A "virtual group" is an online group that users can participate in based on a specific theme or activity.

[0366] "Recommendation methods" refer to methods and technologies for identifying and suggesting the most suitable virtual group to a user based on their information and emotional state.

[0367] "Means of supporting interaction" refer to functions and services designed to facilitate communication and information exchange among users.

[0368] A "generative AI model" is an artificial intelligence algorithm used to analyze user information and generate optimal results.

[0369] This system is designed to help users reduce feelings of social isolation and lead fulfilling social lives. Specifically, it is implemented using a configuration that includes terminals, servers, and an emotion engine.

[0370] Users create accounts using their devices. These devices provide an interface for users to input information about their interests and hobbies, which allows for the collection of user registration information. This information is anonymized and transmitted to a server via the internet.

[0371] The device also sends text messages and voice data entered by the user to the emotion engine. This emotion engine utilizes natural language processing to analyze the data and understand the user's emotional state. The emotion engine operates on a cloud system and sends the analysis results to a server.

[0372] The server uses an AI agent based on a generating AI model to analyze the acquired user registration information and emotional state. Based on this data, the AI ​​agent identifies the optimal virtual group and creates a recommendation list. The selection of virtual groups is tailored to the user's hobbies and preferences, and by taking into account their recent emotional state, more personalized recommendations are provided.

[0373] For example, if the AI ​​agent analyzes that a user is interested in "music" and "travel" and is feeling "stressed," it will recommend a "healing music club" or a "relaxation travel discussion."

[0374] An example of a prompt would be, "If a user is interested in cooking and is currently experiencing stress, what online communities or activities can you suggest?"

[0375] This system allows users to participate in virtual groups selected based on their emotions and preferences, experiencing a sense of psychological security and enhanced social interaction. The server provides messaging and event notification functions to support interaction within the virtual groups, encouraging users to actively participate.

[0376] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0377] Step 1:

[0378] The user uses their device to create a new account and enter information about their interests and hobbies. This information includes the user's name, email address, password, and categories of interest. The device collects this information, encrypts it, and sends it to the server. This prepares the server to store and manage the user's individual information.

[0379] Step 2:

[0380] Users input text messages or voice data on their devices. This data is analyzed by an emotion engine. The emotion engine uses natural language processing techniques to analyze the user's emotional state. Specifically, it extracts emotional features from the input data and assigns emotion labels. The analysis results are sent to the server as the user's emotional state.

[0381] Step 3:

[0382] The server starts analyzing the user's registration information and emotional state using a generative AI model with an AI agent. The AI ​​agent receives the user's interests, preferences, and emotional state as input information and processes the data to identify the optimal virtual groups and activities. Based on this analysis, the AI ​​agent generates a list of recommended virtual groups. As a result, a list of recommendations is created to be provided to the user.

[0383] Step 4:

[0384] The server sends the generated list of recommendations to the terminal. The terminal presents this information to the user in a visually easy-to-understand format. The user can select which virtual groups they wish to join from the presented list. Once the user selects a virtual group to join, that information is sent to the server, and the anonymous joining process is completed.

[0385] Step 5:

[0386] The server provides message exchange and event notification functions to facilitate interaction between users within virtual groups. This allows users to actively engage with activities and groups that interest them. It is also configured to enable direct message communication on specific platforms.

[0387] Step 6:

[0388] The emotion engine periodically monitors the user's emotional state and suggests new interests and activities. It notifies the server of suggestions based on the user's emotional changes, and the user is then presented with new activities tailored to their preferences. These suggestions are made to enhance the user's psychological growth and satisfaction.

[0389] (Application Example 2)

[0390] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0391] In modern society, feelings of social isolation and emotional instability affect many people, and there is a need for a system that understands the user's emotional state and promotes appropriate activities, particularly to alleviate feelings of isolation within the family. This invention aims to improve users' feelings of social isolation and mental health by recognizing the user's emotional state and suggesting appropriate virtual groups and activities based on that state.

[0392] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0393] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for acquiring audio and video data and recognizing the user's emotional state. This enables activity recommendations that are tailored to the user's emotions.

[0394] "User registration information" refers to personal information provided by the user, such as name, age, interests, hobbies, preferences, and related data.

[0395] A "virtual group" is a group of users who share common interests or goals and are formed on an online or digital platform.

[0396] "Communication support tools" are functions and services designed to facilitate communication between users, enabling features such as message exchange and event notifications.

[0397] "Means for recognizing emotional states" refer to technologies and devices that understand a user's emotions by analyzing audio and video data.

[0398] A "means of suggesting activities" is a system that presents users with new activities or groups they can join based on their interests, preferences, and emotional state.

[0399] The system that realizes this application example uses a consumer robot to recognize the user's emotional state and suggests appropriate virtual groups and activities. The system operates as follows:

[0400] The server receives voice and video data from the user, which is then sent to a cloud service. In particular, voice data is transcribed using Google Cloud's "Cloud Speech-to-Text," and the "Azure Face API" is used for sentiment analysis. This allows the user's emotional state to be recognized.

[0401] Next, the server uses AWS's "SageMaker" to analyze data based on the user's interests, preferences, and even their perceived emotional state. Based on the analysis results, the most suitable virtual groups and activities are recommended to the user.

[0402] The terminal (consumer robot) presents the user with a recommended list received from the server via voice and visual display. The robot can provide information to the user in a friendly manner and encourage participation through its speaker and display.

[0403] As a concrete example, let's imagine a scenario where a user uses this system while in their living room at home. The robot would sense the user's fatigue, play healing music to promote relaxation, and then suggest participation in an "online yoga class" or similar activity.

[0404] An example of a prompt message could be sent to the generating AI model with the instruction, "Identify the user's current emotions from voice and facial expression data, and suggest relaxation activities appropriate to that emotional state."

[0405] In this way, the system can empathize with the user's emotions, alleviate feelings of social isolation, and support a better life.

[0406] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0407] Step 1:

[0408] The user provides voice and video data to the robot, which acts as the terminal. The robot collects this data and sends it to the server. The input is voice and video data, and the output is sending this data to the cloud in a format that can be processed.

[0409] Step 2:

[0410] The server converts the audio data into text data using Google Cloud's "Cloud Speech-to-Text" service. In this step, audio data is received as input and text data is output.

[0411] Step 3:

[0412] The server sends video data to the Azure Face API to analyze the user's emotional state. Here, video data is taken as input, and the result of the assessment of the user's emotional state is output.

[0413] Step 4:

[0414] The server utilizes AWS's "SageMaker" to analyze data using a generative AI model based on acquired text data and emotional states. The input is text data and emotional information, and the output is a list of recommended activities.

[0415] Step 5:

[0416] The server sends a list of recommended activities based on the analysis results to the terminal. The server provides the terminal with data containing information on the optimal virtual group and activities as output.

[0417] Step 6:

[0418] The terminal presents the user with a list of recommended activities received from the server, using both voice and display. Here, the activity list is taken as input and output to the user in an easy-to-understand format.

[0419] Step 7:

[0420] Based on suggestions from the device, users select activities that interest them and engage in friendly communication. The input is the presented information, and the output is the user's willingness to participate.

[0421] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0422] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0423] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0424] [Third Embodiment]

[0425] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0426] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0427] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0428] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0429] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0430] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0431] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0432] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0433] The specific processing program 56 is an example of a "program" relating to the technology of this 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 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.

[0434] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0435] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0436] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0437] This invention is a virtual community formation system using an autonomous AI agent to alleviate feelings of loneliness and enable users to enjoy a richer social life. The specific form of implementing this system is described below.

[0438] In this system, users first register information about their interests and hobbies via their device. Users are not required to provide their names or personal information; anonymity is maintained by entering information specific to their interests and hobbies. This information is transmitted from the device to the server and managed appropriately within the system.

[0439] Next, the server uses an AI agent to analyze the user's registration information in detail. Based on interests and hobbies, the AI ​​agent selects the most suitable virtual groups from a large number of options and creates a recommendation list. This recommendation list prioritizes virtual groups with high relevance.

[0440] The server sends the generated recommendation list to the terminal, which then visually presents it to the user. The user can select groups of interest from the recommendation list and indicate their desire to join them using the terminal. This request information is then sent back to the server, confirming the user's anonymous participation in the virtual group.

[0441] The server recognizes newly joined users in a virtual group and provides support functions to facilitate interaction within the group. These support functions include messaging, bulletin board use, and online meeting scheduling. Users can use these functions to communicate smoothly with other members.

[0442] Furthermore, the server utilizes an AI agent to suggest new hobbies and activities based on the user's activity history and changing interests. These suggestions are notified to the user via their device, allowing them to enrich their daily life by joining new communities and activities.

[0443] For example, if a user is interested in "pottery" and "reading," the AI ​​agent will recommend virtual groups such as a "pottery club" or a "reading club." Users can join these groups and anonymously discuss pottery techniques or recently read books with other members. The AI ​​agent also suggests new activities such as "online pottery workshops" and "book clubs featuring famous authors," encouraging participation and broadening the user's hobbies and activities.

[0444] In this way, the present invention functions as a system that can alleviate social isolation among the elderly and provide them with a fulfilling daily life.

[0445] The following describes the processing flow.

[0446] Step 1:

[0447] Users create accounts using their devices and register information about their interests and hobbies. This information is entered in a format that does not allow for personal identification in order to maintain user anonymity.

[0448] Step 2:

[0449] The terminal sends the information entered by the user to the server. The server stores this information in a database and prepares it for later processing.

[0450] Step 3:

[0451] The server activates an AI agent and analyzes the user's registration information in detail. The AI ​​agent selects an appropriate virtual group from the library while comparing it with the registration information.

[0452] Step 4:

[0453] The server generates a list of selected virtual groups and sends it to the terminal as a recommendation list. This list is sorted in order of relevance to the user.

[0454] Step 5:

[0455] The terminal displays a recommended list received from the server to the user. The user reviews the list and selects the virtual group they wish to join.

[0456] Step 6:

[0457] The user's selection is sent to the server via the terminal. The server records this selection in a database and configures the user to join the virtual group they selected.

[0458] Step 7:

[0459] The server enables communication tools such as chat functions and bulletin boards to support interaction within the virtual groups that users participate in.

[0460] Step 8:

[0461] Users can use their devices to exchange anonymous messages with other members within a virtual group and discuss activities that interest them.

[0462] Step 9:

[0463] The server uses an AI agent to analyze the user's activity history and changes in interests. It then suggests new hobbies and activities to the user, enriching their daily life.

[0464] Step 10:

[0465] The device notifies the user of new suggestions from the server and guides the user to new communities or activities if they are interested.

[0466] (Example 1)

[0467] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0468] In modern society, feelings of loneliness are increasing among users, and addressing this has become a social issue. Traditional online communities sometimes struggle to provide virtual groups that perfectly match the diverse interests and hobbies of users. Furthermore, there is a need for an environment where users can participate with peace of mind while maintaining the privacy of their personal information. Therefore, a new system is needed that encourages users to participate in the most suitable virtual groups based on their hobbies and interests, and supports the realization of a fulfilling social life.

[0469] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0470] In this invention, the server includes means for acquiring information based on the user's interests, means for analyzing said information using a generation AI model and recommending virtual groups, and means for joining the user to an anonymously selected virtual group. This allows the user to participate in the most suitable virtual group based on their interests while protecting their privacy.

[0471] "User interest-based information" refers to information entered by users regarding their interests and hobbies, and is obtained while maintaining anonymity.

[0472] A "generative AI model" is an artificial intelligence model used to generate prompt sentences based on user input and to analyze related virtual groups.

[0473] A "virtual group" refers to an online community selected by AI based on the user's interests and hobbies.

[0474] "Methods for anonymously joining selected virtual groups" refer to mechanisms that allow users to participate in the relevant community while protecting their privacy.

[0475] "Means of communication" refers to functions that support communication among participants within a virtual group, and includes message exchange, bulletin boards, and meeting scheduling.

[0476] "Activity history-based suggestions" is a process that analyzes a user's past activities and changes in interests to recommend new hobbies or groups they should join.

[0477] This system provides an environment where users can join virtual groups best suited to their interests and hobbies. Its implementation requires the collaboration of terminals, servers, and generative AI models.

[0478] The device collects information about the user's interests and hobbies and sends it anonymously to the server. Users enter specific hobbies such as "pottery" or "reading," but this information does not include any personally identifiable details. The device is responsible for processing this information and securely transferring it to the server.

[0479] The server inputs the received information into a generative AI model, which then generates prompts based on the user's interests. For example, a prompt such as "Find a new virtual community related to pottery" might be generated. Based on these prompts, the generative AI model analyzes and recommends virtual groups that match the user's interests. The recommendation results are stored on the server and prepared to respond to the user as needed.

[0480] The server sends the generated information back to the terminal, which then displays it visually to the user. The user selects a virtual group of interest through the screen and completes the process of joining it anonymously. During this process, the server confirms the user's selection and takes care to maintain anonymity within the virtual group.

[0481] As a concrete example of its operation, the AI ​​agent recommends selected groups such as a "reading club" or a "pottery circle," and further encourages users to participate in an "online pottery workshop," thereby providing users with a variety of options. Through this system, users can safely experience participation in diverse virtual groups and form social connections.

[0482] In this configuration, hardware such as terminals and servers, and software such as generative AI models, work together to maximize user satisfaction.

[0483] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0484] Step 1:

[0485] Users input information about their interests and hobbies through the terminal. This input, such as "pottery" or "reading," is sent to the server while maintaining user anonymity. The terminal's role is to collect information from the user and securely transfer the data to the server using a communication protocol.

[0486] Step 2:

[0487] The server receives data sent from the terminal. It inputs the user's interest information received as input into a generating AI model and starts data analysis. This analysis generates prompt sentences to extract candidate virtual groups. Specifically, a prompt such as "Find a new virtual community related to pottery" is generated, and based on this, virtual groups related to the user's interests are selected. The server saves the analysis results to an internal database.

[0488] Step 3:

[0489] The server uses the generated prompt to list potential virtual groups and sends them to the terminal. The list prioritizes highly relevant virtual groups, such as "pottery club" or "reading club." This output is sent to the terminal and presented to the user visually.

[0490] Step 4:

[0491] The user selects a group of interest from a virtual group list displayed on their device. The selected information is sent back to the server. At this point, the user clarifies which group they wish to join, and the server confirms the joining process based on this information. The server then completes the process of anonymously adding the user to the selected group.

[0492] Step 5:

[0493] The server provides features to support smooth communication after a user's membership in a virtual group is confirmed. Specifically, these include features such as message boards, chat rooms, and online meeting settings. This allows users to actively interact with other members. The server manages these features and supports user communication.

[0494] Step 6:

[0495] The server periodically monitors the user's activity history and suggests new activities and groups based on changes in their interests. Examples include "online pottery workshops" and "book clubs with renowned authors." These suggestions are notified to the user via their device, providing opportunities to discover new interests. In this way, the server promotes diversity in the user's activities.

[0496] (Application Example 1)

[0497] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0498] In modern society, many people feel lonely and struggle to find connections with others. This is especially true for the elderly and those working remotely, who have limited opportunities for physical interaction and find it difficult to find psychological support or new interests. Furthermore, when using technology to participate in communities, challenges arise such as complex interfaces and difficulty in finding communities that align with their interests.

[0499] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0500] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for providing robotic mediation to support user participation based on said recommendations. This makes it possible for users to easily join virtual groups that suit their interests, reduce feelings of loneliness, and enjoy a richer social life.

[0501] "Means of obtaining user registration information" refers to methods for users to input information related to their interests and preferences, and for that information to be collected in a database.

[0502] "Methods for analyzing registration information and recommending relevant virtual groups" refers to analytical methods that use acquired user information to identify communities suitable for that user and present the optimal options.

[0503] "Methods for anonymously joining desired virtual groups" refers to the process of allowing users to participate in selected virtual communities while keeping their identities confidential.

[0504] "Means of supporting interaction within a virtual group" refers to methods of providing technical support to facilitate smooth communication among community members.

[0505] "Means of suggesting new interests and activities to users" refers to methods of introducing new hobbies and activities based on the user's past behavior and interests.

[0506] "Robot-mediated mediation" refers to a process that utilizes mechanical devices to provide physical or vocal support when a user participates in a virtual group in their daily life.

[0507] The system implementing this invention begins with the user entering registration information about their interests and preferences via a terminal. The terminal can be a common electronic device such as a smartphone or personal computer, and the user enters the information using a dedicated application. The entered information is transmitted to a cloud server while ensuring security.

[0508] The server analyzes the received registration information in detail using a generating AI model. For example, it uses machine learning libraries such as TensorFlow or PyTorch to extract features based on the user's interests. Based on the analyzed data, it generates a list of recommended virtual groups that are relevant to the user. This recommendation list is sent to the user's device and presented visually or audibly.

[0509] A robotic mediation mechanism is used for virtual groups selected by the user. Here, a consumer robot (e.g., SoftBank's Pepper) assists the participation process through voice and display based on the user's selection. This allows the user to participate in the virtual group anonymously and communicate smoothly with other members. In addition, an AI agent suggests new interests and activities and notifies the user through the terminal or robot, thereby broadening the range of the user's hobbies and activities.

[0510] When a user enters "I'm interested in cooking," the server analyzes this information and recommends virtual groups such as "online cooking clubs" or "recipe exchange forums." For example, a prompt might say, "The user's interest is cooking. Based on this interest, please recommend a new virtual group." The robot then enhances the user experience by providing voice guidance on how to join the selected virtual group.

[0511] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0512] Step 1:

[0513] The user uses the device to input information about their interests and preferences. This input is temporarily stored within the device. This input is performed by the user using a dedicated application and is saved in text data format.

[0514] Step 2:

[0515] The device sends the stored user information to a cloud server. The data is encrypted over the internet and securely uploaded to the cloud. In this step, the entered text data of interests and preferences is transferred to the server.

[0516] Step 3:

[0517] The server analyzes the received user information. Using a generative AI model, it extracts features related to the user's interests and processes the data. Machine learning libraries such as TensorFlow and PyTorch are used for this process. The output is the feature extraction results based on the user's interests.

[0518] Step 4:

[0519] The server creates a list of relevant virtual groups based on the analysis results. The AI ​​agent uses prompts to identify the optimal virtual group. In this step, the groups most relevant to the interests are listed.

[0520] Step 5:

[0521] The server sends the generated list of recommended virtual groups to the terminal. The terminal receives this list and presents it to the user visually or audibly. The output on the terminal is the list of recommended virtual groups.

[0522] Step 6:

[0523] The user selects a virtual group that interests them. The selected information is then sent back to the server via the terminal. Data selection based on the user's choice takes place here.

[0524] Step 7:

[0525] The server confirms the user's selection of the virtual group and sends the information to the robot. The robot receives the instructions and operates to assist the user in joining the selected virtual group.

[0526] Step 8:

[0527] The robot uses voice and a display to guide the user through the participation process. This guidance allows the user to join the virtual group anonymously and begin interacting with other members. The output is a detailed guide to the user's participation procedure.

[0528] Step 9:

[0529] The server explores and suggests new interests and activities as the user progresses within the virtual group. It then reviews the new activity and notifies the user via a terminal or robot. Suggestions for new interests and activities are output.

[0530] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0531] This invention is a system designed to alleviate users' feelings of social isolation and support a fulfilling social life. In particular, by combining it with an emotion engine, it recognizes the user's emotional state and recommends appropriate virtual groups and activities. The specific implementation of this system is described below.

[0532] This system allows users to create accounts using their devices and register information about their interests and hobbies. In addition, it incorporates an emotion engine that identifies user emotions, analyzing text messages and voice data entered by the user to understand their emotional state. This emotional state is also sent to the server while maintaining anonymity.

[0533] The server has an AI agent analyze the acquired user registration information and emotional state. The AI ​​agent considers not only the user's hobbies and preferences but also their current emotional state to identify the most suitable virtual group and create a recommendation list. For example, if a user is interested in "music" and "travel" but is also feeling "stressed," the AI ​​agent can recommend things like "healing music clubs" or "relaxation travel discussions."

[0534] The server sends these recommendation lists to the terminal, which then visually presents them to the user. The user can choose a recommended virtual group and join anonymously through the server. The server provides features such as a messaging platform and event notifications to facilitate interaction between the virtual groups the user has joined.

[0535] Furthermore, the emotion engine can also suggest new activities and hobbies that are tailored to the user's emotions. This can support the user's psychological stability and growth, and bring new vitality to their daily life. For example, when a user is feeling "sadness," the AI ​​can suggest a "positive story reading group" or an "art therapy session" to help improve the user's mood.

[0536] This system allows users to enjoy a better quality of life not only by participating in virtual groups based on their interests, but also by engaging in activities and interactions that take their emotions into consideration. The present invention aims to provide a creative solution that positively impacts the lifestyles of many users, including the elderly.

[0537] The following describes the processing flow.

[0538] Step 1:

[0539] Users log in to the system using their device and register information about their interests and hobbies. The device also sends text messages and voice data entered by the user to the emotion engine.

[0540] Step 2:

[0541] The device sends registered information and emotional data to the server. The server securely stores this information in a database.

[0542] Step 3:

[0543] The server activates an AI agent to analyze the user's interests, preferences, and emotional data. This analysis is performed in multiple dimensions, aiming to select the optimal virtual group that takes the user's psychological state into account.

[0544] Step 4:

[0545] The server generates a list of recommended virtual groups suitable for the user based on analysis. This list is prioritized based on sentiment data.

[0546] Step 5:

[0547] The server sends the generated recommendation list to the terminal, which then presents it to the user. The user can then choose which virtual groups they wish to join from the recommended list.

[0548] Step 6:

[0549] The user's selection is notified from the terminal to the server, and the server anonymously allows the user to join the selected virtual group.

[0550] Step 7:

[0551] The server provides support tools such as message exchange functions, bulletin boards, and online event notifications to facilitate interaction within the virtual group.

[0552] Step 8:

[0553] Users can use their devices to communicate anonymously with other members within a virtual group and actively discuss activities that interest them.

[0554] Step 9:

[0555] The server uses an emotion engine to continuously monitor the user's emotional state and suggests new interests and activities accordingly.

[0556] Step 10:

[0557] The device will notify users of new suggestions, allowing them to enrich their daily lives by participating in new communities and activities.

[0558] (Example 2)

[0559] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0560] In modern society, feelings of social isolation and psychological anxiety are increasing. In this context, there is a growing need for systems that allow users to participate in appropriate virtual groups and activities that take their emotional state into consideration. Conventional systems tend to consider only the user's interests and preferences, neglecting their emotional state, which can lead to unnecessary stress and dissatisfaction.

[0561] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0562] In this invention, the server includes means for acquiring user registration information, means for analyzing the registration information and the user's emotional state to recommend relevant virtual groups, and means for suggesting new interests and activities to the user based on their emotional state. This allows users to participate in virtual groups selected based on their individual emotions and preferences, thereby enhancing their sense of psychological security and social interaction.

[0563] "User registration information" refers to data such as interests, preferences, and basic information that users provide to the system.

[0564] "Emotional state" refers to the user's current psychological condition, analyzed from their text and voice data.

[0565] A "virtual group" is an online group that users can participate in based on a specific theme or activity.

[0566] "Recommendation methods" refer to methods and technologies for identifying and suggesting the most suitable virtual group to a user based on their information and emotional state.

[0567] "Means of supporting interaction" refer to functions and services designed to facilitate communication and information exchange among users.

[0568] A "generative AI model" is an artificial intelligence algorithm used to analyze user information and generate optimal results.

[0569] This system is designed to help users reduce feelings of social isolation and lead fulfilling social lives. Specifically, it is implemented using a configuration that includes terminals, servers, and an emotion engine.

[0570] Users create accounts using their devices. These devices provide an interface for users to input information about their interests and hobbies, which allows for the collection of user registration information. This information is anonymized and transmitted to a server via the internet.

[0571] The device also sends text messages and voice data entered by the user to the emotion engine. This emotion engine utilizes natural language processing to analyze the data and understand the user's emotional state. The emotion engine operates on a cloud system and sends the analysis results to a server.

[0572] The server uses an AI agent based on a generating AI model to analyze the acquired user registration information and emotional state. Based on this data, the AI ​​agent identifies the optimal virtual group and creates a recommendation list. The selection of virtual groups is tailored to the user's hobbies and preferences, and by taking into account their recent emotional state, more personalized recommendations are provided.

[0573] For example, if the AI ​​agent analyzes that a user is interested in "music" and "travel" and is feeling "stressed," it will recommend a "healing music club" or a "relaxation travel discussion."

[0574] An example of a prompt would be, "If a user is interested in cooking and is currently experiencing stress, what online communities or activities can you suggest?"

[0575] This system allows users to participate in virtual groups selected based on their emotions and preferences, experiencing a sense of psychological security and enhanced social interaction. The server provides messaging and event notification functions to support interaction within the virtual groups, encouraging users to actively participate.

[0576] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0577] Step 1:

[0578] The user uses their device to create a new account and enter information about their interests and hobbies. This information includes the user's name, email address, password, and categories of interest. The device collects this information, encrypts it, and sends it to the server. This prepares the server to store and manage the user's individual information.

[0579] Step 2:

[0580] Users input text messages or voice data on their devices. This data is analyzed by an emotion engine. The emotion engine uses natural language processing techniques to analyze the user's emotional state. Specifically, it extracts emotional features from the input data and assigns emotion labels. The analysis results are sent to the server as the user's emotional state.

[0581] Step 3:

[0582] The server starts analyzing the user's registration information and emotional state using a generative AI model with an AI agent. The AI ​​agent receives the user's interests, preferences, and emotional state as input information and processes the data to identify the optimal virtual groups and activities. Based on this analysis, the AI ​​agent generates a list of recommended virtual groups. As a result, a list of recommendations is created to be provided to the user.

[0583] Step 4:

[0584] The server sends the generated list of recommendations to the terminal. The terminal presents this information to the user in a visually easy-to-understand format. The user can select which virtual groups they wish to join from the presented list. Once the user selects a virtual group to join, that information is sent to the server, and the anonymous joining process is completed.

[0585] Step 5:

[0586] The server provides message exchange and event notification functions to facilitate interaction between users within virtual groups. This allows users to actively engage with activities and groups that interest them. It is also configured to enable direct message communication on specific platforms.

[0587] Step 6:

[0588] The emotion engine periodically monitors the user's emotional state and suggests new interests and activities. It notifies the server of suggestions based on the user's emotional changes, and the user is then presented with new activities tailored to their preferences. These suggestions are made to enhance the user's psychological growth and satisfaction.

[0589] (Application Example 2)

[0590] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0591] In modern society, feelings of social isolation and emotional instability affect many people, and there is a need for a system that understands the user's emotional state and promotes appropriate activities, particularly to alleviate feelings of isolation within the family. This invention aims to improve users' feelings of social isolation and mental health by recognizing the user's emotional state and suggesting appropriate virtual groups and activities based on that state.

[0592] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0593] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for acquiring audio and video data and recognizing the user's emotional state. This enables activity recommendations that are tailored to the user's emotions.

[0594] "User registration information" refers to personal information provided by the user, such as name, age, interests, hobbies, preferences, and related data.

[0595] A "virtual group" is a group of users who share common interests or goals and are formed on an online or digital platform.

[0596] "Communication support tools" are functions and services designed to facilitate communication between users, enabling features such as message exchange and event notifications.

[0597] "Means for recognizing emotional states" refer to technologies and devices that understand a user's emotions by analyzing audio and video data.

[0598] A "means of suggesting activities" is a system that presents users with new activities or groups they can join based on their interests, preferences, and emotional state.

[0599] The system that realizes this application example uses a consumer robot to recognize the user's emotional state and suggests appropriate virtual groups and activities. The system operates as follows:

[0600] The server receives voice and video data from the user, which is then sent to a cloud service. In particular, voice data is transcribed using Google Cloud's "Cloud Speech-to-Text," and the "Azure Face API" is used for sentiment analysis. This allows the user's emotional state to be recognized.

[0601] Next, the server uses AWS's "SageMaker" to analyze data based on the user's interests, preferences, and even their perceived emotional state. Based on the analysis results, the most suitable virtual groups and activities are recommended to the user.

[0602] The terminal (consumer robot) presents the user with a recommended list received from the server via voice and visual display. The robot can provide information to the user in a friendly manner and encourage participation through its speaker and display.

[0603] As a concrete example, let's imagine a scenario where a user uses this system while in their living room at home. The robot would sense the user's fatigue, play healing music to promote relaxation, and then suggest participation in an "online yoga class" or similar activity.

[0604] An example of a prompt message could be sent to the generating AI model with the instruction, "Identify the user's current emotions from voice and facial expression data, and suggest relaxation activities appropriate to that emotional state."

[0605] In this way, the system can empathize with the user's emotions, alleviate feelings of social isolation, and support a better life.

[0606] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0607] Step 1:

[0608] The user provides voice and video data to the robot, which acts as the terminal. The robot collects this data and sends it to the server. The input is voice and video data, and the output is sending this data to the cloud in a format that can be processed.

[0609] Step 2:

[0610] The server converts the audio data into text data using Google Cloud's "Cloud Speech-to-Text" service. In this step, audio data is received as input and text data is output.

[0611] Step 3:

[0612] The server sends video data to the Azure Face API to analyze the user's emotional state. Here, video data is taken as input, and the result of the assessment of the user's emotional state is output.

[0613] Step 4:

[0614] The server utilizes AWS's "SageMaker" to analyze data using a generative AI model based on acquired text data and emotional states. The input is text data and emotional information, and the output is a list of recommended activities.

[0615] Step 5:

[0616] The server sends a list of recommended activities based on the analysis results to the terminal. The server provides the terminal with data containing information on the optimal virtual group and activities as output.

[0617] Step 6:

[0618] The terminal presents the user with a list of recommended activities received from the server, using both voice and display. Here, the activity list is taken as input and output to the user in an easy-to-understand format.

[0619] Step 7:

[0620] Based on suggestions from the device, users select activities that interest them and engage in friendly communication. The input is the presented information, and the output is the user's willingness to participate.

[0621] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0622] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0623] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0624] [Fourth Embodiment]

[0625] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0626] As shown in Figure 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.

[0627] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0628] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0629] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0630] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0631] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0632] The controlled 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0633] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0634] The specific processing program 56 is an example of a "program" relating to the technology of this 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 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.

[0635] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0636] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0637] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0638] This invention is a virtual community formation system using an autonomous AI agent to alleviate feelings of loneliness and enable users to enjoy a richer social life. The specific form of implementing this system is described below.

[0639] In this system, users first register information about their interests and hobbies via their device. Users are not required to provide their names or personal information; anonymity is maintained by entering information specific to their interests and hobbies. This information is transmitted from the device to the server and managed appropriately within the system.

[0640] Next, the server uses an AI agent to analyze the user's registration information in detail. Based on interests and hobbies, the AI ​​agent selects the most suitable virtual groups from a large number of options and creates a recommendation list. This recommendation list prioritizes virtual groups with high relevance.

[0641] The server sends the generated recommendation list to the terminal, which then visually presents it to the user. The user can select groups of interest from the recommendation list and indicate their desire to join them using the terminal. This request information is then sent back to the server, confirming the user's anonymous participation in the virtual group.

[0642] The server recognizes newly joined users in a virtual group and provides support functions to facilitate interaction within the group. These support functions include messaging, bulletin board use, and online meeting scheduling. Users can use these functions to communicate smoothly with other members.

[0643] Furthermore, the server utilizes an AI agent to suggest new hobbies and activities based on the user's activity history and changing interests. These suggestions are notified to the user via their device, allowing them to enrich their daily life by joining new communities and activities.

[0644] For example, if a user is interested in "pottery" and "reading," the AI ​​agent will recommend virtual groups such as a "pottery club" or a "reading club." Users can join these groups and anonymously discuss pottery techniques or recently read books with other members. The AI ​​agent also suggests new activities such as "online pottery workshops" and "book clubs featuring famous authors," encouraging participation and broadening the user's hobbies and activities.

[0645] In this way, the present invention functions as a system that can alleviate social isolation among the elderly and provide them with a fulfilling daily life.

[0646] The following describes the processing flow.

[0647] Step 1:

[0648] Users create accounts using their devices and register information about their interests and hobbies. This information is entered in a format that does not allow for personal identification in order to maintain user anonymity.

[0649] Step 2:

[0650] The terminal sends the information entered by the user to the server. The server stores this information in a database and prepares it for later processing.

[0651] Step 3:

[0652] The server activates an AI agent and analyzes the user's registration information in detail. The AI ​​agent selects an appropriate virtual group from the library while comparing it with the registration information.

[0653] Step 4:

[0654] The server generates a list of selected virtual groups and sends it to the terminal as a recommendation list. This list is sorted in order of relevance to the user.

[0655] Step 5:

[0656] The terminal displays a recommended list received from the server to the user. The user reviews the list and selects the virtual group they wish to join.

[0657] Step 6:

[0658] The user's selection is sent to the server via the terminal. The server records this selection in a database and configures the user to join the virtual group they selected.

[0659] Step 7:

[0660] The server enables communication tools such as chat functions and bulletin boards to support interaction within the virtual groups that users participate in.

[0661] Step 8:

[0662] Users can use their devices to exchange anonymous messages with other members within a virtual group and discuss activities that interest them.

[0663] Step 9:

[0664] The server uses an AI agent to analyze the user's activity history and changes in interests. It then suggests new hobbies and activities to the user, enriching their daily life.

[0665] Step 10:

[0666] The device notifies the user of new suggestions from the server and guides the user to new communities or activities if they are interested.

[0667] (Example 1)

[0668] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0669] In modern society, feelings of loneliness are increasing among users, and addressing this has become a social issue. Traditional online communities sometimes struggle to provide virtual groups that perfectly match the diverse interests and hobbies of users. Furthermore, there is a need for an environment where users can participate with peace of mind while maintaining the privacy of their personal information. Therefore, a new system is needed that encourages users to participate in the most suitable virtual groups based on their hobbies and interests, and supports the realization of a fulfilling social life.

[0670] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0671] In this invention, the server includes means for acquiring information based on the user's interests, means for analyzing said information using a generation AI model and recommending virtual groups, and means for joining the user to an anonymously selected virtual group. This allows the user to participate in the most suitable virtual group based on their interests while protecting their privacy.

[0672] "User interest-based information" refers to information entered by users regarding their interests and hobbies, and is obtained while maintaining anonymity.

[0673] A "generative AI model" is an artificial intelligence model used to generate prompt sentences based on user input and to analyze related virtual groups.

[0674] A "virtual group" refers to an online community selected by AI based on the user's interests and hobbies.

[0675] "Methods for anonymously joining selected virtual groups" refer to mechanisms that allow users to participate in the relevant community while protecting their privacy.

[0676] "Means of communication" refers to functions that support communication among participants within a virtual group, and includes message exchange, bulletin boards, and meeting scheduling.

[0677] "Activity history-based suggestions" is a process that analyzes a user's past activities and changes in interests to recommend new hobbies or groups they should join.

[0678] This system provides an environment where users can join virtual groups best suited to their interests and hobbies. Its implementation requires the collaboration of terminals, servers, and generative AI models.

[0679] The device collects information about the user's interests and hobbies and sends it anonymously to the server. Users enter specific hobbies such as "pottery" or "reading," but this information does not include any personally identifiable details. The device is responsible for processing this information and securely transferring it to the server.

[0680] The server inputs the received information into a generative AI model, which then generates prompts based on the user's interests. For example, a prompt such as "Find a new virtual community related to pottery" might be generated. Based on these prompts, the generative AI model analyzes and recommends virtual groups that match the user's interests. The recommendation results are stored on the server and prepared to respond to the user as needed.

[0681] The server sends the generated information back to the terminal, which then displays it visually to the user. The user selects a virtual group of interest through the screen and completes the process of joining it anonymously. During this process, the server confirms the user's selection and takes care to maintain anonymity within the virtual group.

[0682] As a concrete example of its operation, the AI ​​agent recommends selected groups such as a "reading club" or a "pottery circle," and further encourages users to participate in an "online pottery workshop," thereby providing users with a variety of options. Through this system, users can safely experience participation in diverse virtual groups and form social connections.

[0683] In this configuration, hardware such as terminals and servers, and software such as generative AI models, work together to maximize user satisfaction.

[0684] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0685] Step 1:

[0686] Users input information about their interests and hobbies through the terminal. This input, such as "pottery" or "reading," is sent to the server while maintaining user anonymity. The terminal's role is to collect information from the user and securely transfer the data to the server using a communication protocol.

[0687] Step 2:

[0688] The server receives data sent from the terminal. It inputs the user's interest information received as input into a generating AI model and starts data analysis. This analysis generates prompt sentences to extract candidate virtual groups. Specifically, a prompt such as "Find a new virtual community related to pottery" is generated, and based on this, virtual groups related to the user's interests are selected. The server saves the analysis results to an internal database.

[0689] Step 3:

[0690] The server uses the generated prompt to list potential virtual groups and sends them to the terminal. The list prioritizes highly relevant virtual groups, such as "pottery club" or "reading club." This output is sent to the terminal and presented to the user visually.

[0691] Step 4:

[0692] The user selects a group of interest from a virtual group list displayed on their device. The selected information is sent back to the server. At this point, the user clarifies which group they wish to join, and the server confirms the joining process based on this information. The server then completes the process of anonymously adding the user to the selected group.

[0693] Step 5:

[0694] The server provides features to support smooth communication after a user's membership in a virtual group is confirmed. Specifically, these include features such as message boards, chat rooms, and online meeting settings. This allows users to actively interact with other members. The server manages these features and supports user communication.

[0695] Step 6:

[0696] The server periodically monitors the user's activity history and suggests new activities and groups based on changes in their interests. Examples include "online pottery workshops" and "book clubs with renowned authors." These suggestions are notified to the user via their device, providing opportunities to discover new interests. In this way, the server promotes diversity in the user's activities.

[0697] (Application Example 1)

[0698] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0699] In modern society, many people feel lonely and struggle to find connections with others. This is especially true for the elderly and those working remotely, who have limited opportunities for physical interaction and find it difficult to find psychological support or new interests. Furthermore, when using technology to participate in communities, challenges arise such as complex interfaces and difficulty in finding communities that align with their interests.

[0700] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0701] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for providing robotic mediation to support user participation based on said recommendations. This makes it possible for users to easily join virtual groups that suit their interests, reduce feelings of loneliness, and enjoy a richer social life.

[0702] "Means of obtaining user registration information" refers to methods for users to input information related to their interests and preferences, and for that information to be collected in a database.

[0703] "Methods for analyzing registration information and recommending relevant virtual groups" refers to analytical methods that use acquired user information to identify communities suitable for that user and present the optimal options.

[0704] "Methods for anonymously joining desired virtual groups" refers to the process of allowing users to participate in selected virtual communities while keeping their identities confidential.

[0705] "Means of supporting interaction within a virtual group" refers to methods of providing technical support to facilitate smooth communication among community members.

[0706] "Means of suggesting new interests and activities to users" refers to methods of introducing new hobbies and activities based on the user's past behavior and interests.

[0707] "Robot-mediated mediation" refers to a process that utilizes mechanical devices to provide physical or vocal support when a user participates in a virtual group in their daily life.

[0708] The system implementing this invention begins with the user entering registration information about their interests and preferences via a terminal. The terminal can be a common electronic device such as a smartphone or personal computer, and the user enters the information using a dedicated application. The entered information is transmitted to a cloud server while ensuring security.

[0709] The server analyzes the received registration information in detail using a generating AI model. For example, it uses machine learning libraries such as TensorFlow or PyTorch to extract features based on the user's interests. Based on the analyzed data, it generates a list of recommended virtual groups that are relevant to the user. This recommendation list is sent to the user's device and presented visually or audibly.

[0710] A robotic mediation mechanism is used for virtual groups selected by the user. Here, a consumer robot (e.g., SoftBank's Pepper) assists the participation process through voice and display based on the user's selection. This allows the user to participate in the virtual group anonymously and communicate smoothly with other members. In addition, an AI agent suggests new interests and activities and notifies the user through the terminal or robot, thereby broadening the range of the user's hobbies and activities.

[0711] When a user enters "I'm interested in cooking," the server analyzes this information and recommends virtual groups such as "online cooking clubs" or "recipe exchange forums." For example, a prompt might say, "The user's interest is cooking. Based on this interest, please recommend a new virtual group." The robot then enhances the user experience by providing voice guidance on how to join the selected virtual group.

[0712] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0713] Step 1:

[0714] The user uses the device to input information about their interests and preferences. This input is temporarily stored within the device. This input is performed by the user using a dedicated application and is saved in text data format.

[0715] Step 2:

[0716] The device sends the stored user information to a cloud server. The data is encrypted over the internet and securely uploaded to the cloud. In this step, the entered text data of interests and preferences is transferred to the server.

[0717] Step 3:

[0718] The server analyzes the received user information. Using a generative AI model, it extracts features related to the user's interests and processes the data. Machine learning libraries such as TensorFlow and PyTorch are used for this process. The output is the feature extraction results based on the user's interests.

[0719] Step 4:

[0720] The server creates a list of relevant virtual groups based on the analysis results. The AI ​​agent uses prompts to identify the optimal virtual group. In this step, the groups most relevant to the interests are listed.

[0721] Step 5:

[0722] The server sends the generated list of recommended virtual groups to the terminal. The terminal receives this list and presents it to the user visually or audibly. The output on the terminal is the list of recommended virtual groups.

[0723] Step 6:

[0724] The user selects a virtual group that interests them. The selected information is then sent back to the server via the terminal. Data selection based on the user's choice takes place here.

[0725] Step 7:

[0726] The server confirms the user's selection of the virtual group and sends the information to the robot. The robot receives the instructions and operates to assist the user in joining the selected virtual group.

[0727] Step 8:

[0728] The robot uses voice and a display to guide the user through the participation process. This guidance allows the user to join the virtual group anonymously and begin interacting with other members. The output is a detailed guide to the user's participation procedure.

[0729] Step 9:

[0730] The server explores and suggests new interests and activities as the user progresses within the virtual group. It then reviews the new activity and notifies the user via a terminal or robot. Suggestions for new interests and activities are output.

[0731] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0732] This invention is a system designed to alleviate users' feelings of social isolation and support a fulfilling social life. In particular, by combining it with an emotion engine, it recognizes the user's emotional state and recommends appropriate virtual groups and activities. The specific implementation of this system is described below.

[0733] This system allows users to create accounts using their devices and register information about their interests and hobbies. In addition, it incorporates an emotion engine that identifies user emotions, analyzing text messages and voice data entered by the user to understand their emotional state. This emotional state is also sent to the server while maintaining anonymity.

[0734] The server has an AI agent analyze the acquired user registration information and emotional state. The AI ​​agent considers not only the user's hobbies and preferences but also their current emotional state to identify the most suitable virtual group and create a recommendation list. For example, if a user is interested in "music" and "travel" but is also feeling "stressed," the AI ​​agent can recommend things like "healing music clubs" or "relaxation travel discussions."

[0735] The server sends these recommendation lists to the terminal, which then visually presents them to the user. The user can choose a recommended virtual group and join anonymously through the server. The server provides features such as a messaging platform and event notifications to facilitate interaction between the virtual groups the user has joined.

[0736] Furthermore, the emotion engine can also suggest new activities and hobbies that are tailored to the user's emotions. This can support the user's psychological stability and growth, and bring new vitality to their daily life. For example, when a user is feeling "sadness," the AI ​​can suggest a "positive story reading group" or an "art therapy session" to help improve the user's mood.

[0737] This system allows users to enjoy a better quality of life not only by participating in virtual groups based on their interests, but also by engaging in activities and interactions that take their emotions into consideration. The present invention aims to provide a creative solution that positively impacts the lifestyles of many users, including the elderly.

[0738] The following describes the processing flow.

[0739] Step 1:

[0740] Users log in to the system using their device and register information about their interests and hobbies. The device also sends text messages and voice data entered by the user to the emotion engine.

[0741] Step 2:

[0742] The device sends registered information and emotional data to the server. The server securely stores this information in a database.

[0743] Step 3:

[0744] The server activates an AI agent to analyze the user's interests, preferences, and emotional data. This analysis is performed in multiple dimensions, aiming to select the optimal virtual group that takes the user's psychological state into account.

[0745] Step 4:

[0746] The server generates a list of recommended virtual groups suitable for the user based on analysis. This list is prioritized based on sentiment data.

[0747] Step 5:

[0748] The server sends the generated recommendation list to the terminal, which then presents it to the user. The user can then choose which virtual groups they wish to join from the recommended list.

[0749] Step 6:

[0750] The user's selection is notified from the terminal to the server, and the server anonymously allows the user to join the selected virtual group.

[0751] Step 7:

[0752] The server provides support tools such as message exchange functions, bulletin boards, and online event notifications to facilitate interaction within the virtual group.

[0753] Step 8:

[0754] Users can use their devices to communicate anonymously with other members within a virtual group and actively discuss activities that interest them.

[0755] Step 9:

[0756] The server uses an emotion engine to continuously monitor the user's emotional state and suggests new interests and activities accordingly.

[0757] Step 10:

[0758] The device will notify users of new suggestions, allowing them to enrich their daily lives by participating in new communities and activities.

[0759] (Example 2)

[0760] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0761] In modern society, feelings of social isolation and psychological anxiety are increasing. In this context, there is a growing need for systems that allow users to participate in appropriate virtual groups and activities that take their emotional state into consideration. Conventional systems tend to consider only the user's interests and preferences, neglecting their emotional state, which can lead to unnecessary stress and dissatisfaction.

[0762] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0763] In this invention, the server includes means for acquiring user registration information, means for analyzing the registration information and the user's emotional state to recommend relevant virtual groups, and means for suggesting new interests and activities to the user based on their emotional state. This allows users to participate in virtual groups selected based on their individual emotions and preferences, thereby enhancing their sense of psychological security and social interaction.

[0764] "User registration information" refers to data such as interests, preferences, and basic information that users provide to the system.

[0765] "Emotional state" refers to the user's current psychological condition, analyzed from their text and voice data.

[0766] A "virtual group" is an online group that users can participate in based on a specific theme or activity.

[0767] "Recommendation methods" refer to methods and technologies for identifying and suggesting the most suitable virtual group to a user based on their information and emotional state.

[0768] "Means of supporting interaction" refer to functions and services designed to facilitate communication and information exchange among users.

[0769] A "generative AI model" is an artificial intelligence algorithm used to analyze user information and generate optimal results.

[0770] This system is designed to help users reduce feelings of social isolation and lead fulfilling social lives. Specifically, it is implemented using a configuration that includes terminals, servers, and an emotion engine.

[0771] Users create accounts using their devices. These devices provide an interface for users to input information about their interests and hobbies, which allows for the collection of user registration information. This information is anonymized and transmitted to a server via the internet.

[0772] The device also sends text messages and voice data entered by the user to the emotion engine. This emotion engine utilizes natural language processing to analyze the data and understand the user's emotional state. The emotion engine operates on a cloud system and sends the analysis results to a server.

[0773] The server uses an AI agent based on a generating AI model to analyze the acquired user registration information and emotional state. Based on this data, the AI ​​agent identifies the optimal virtual group and creates a recommendation list. The selection of virtual groups is tailored to the user's hobbies and preferences, and by taking into account their recent emotional state, more personalized recommendations are provided.

[0774] For example, if the AI ​​agent analyzes that a user is interested in "music" and "travel" and is feeling "stressed," it will recommend a "healing music club" or a "relaxation travel discussion."

[0775] An example of a prompt would be, "If a user is interested in cooking and is currently experiencing stress, what online communities or activities can you suggest?"

[0776] This system allows users to participate in virtual groups selected based on their emotions and preferences, experiencing a sense of psychological security and enhanced social interaction. The server provides messaging and event notification functions to support interaction within the virtual groups, encouraging users to actively participate.

[0777] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0778] Step 1:

[0779] The user uses their device to create a new account and enter information about their interests and hobbies. This information includes the user's name, email address, password, and categories of interest. The device collects this information, encrypts it, and sends it to the server. This prepares the server to store and manage the user's individual information.

[0780] Step 2:

[0781] Users input text messages or voice data on their devices. This data is analyzed by an emotion engine. The emotion engine uses natural language processing techniques to analyze the user's emotional state. Specifically, it extracts emotional features from the input data and assigns emotion labels. The analysis results are sent to the server as the user's emotional state.

[0782] Step 3:

[0783] The server starts analyzing the user's registration information and emotional state using a generative AI model with an AI agent. The AI ​​agent receives the user's interests, preferences, and emotional state as input information and processes the data to identify the optimal virtual groups and activities. Based on this analysis, the AI ​​agent generates a list of recommended virtual groups. As a result, a list of recommendations is created to be provided to the user.

[0784] Step 4:

[0785] The server sends the generated list of recommendations to the terminal. The terminal presents this information to the user in a visually easy-to-understand format. The user can select which virtual groups they wish to join from the presented list. Once the user selects a virtual group to join, that information is sent to the server, and the anonymous joining process is completed.

[0786] Step 5:

[0787] The server provides message exchange and event notification functions to facilitate interaction between users within virtual groups. This allows users to actively engage with activities and groups that interest them. It is also configured to enable direct message communication on specific platforms.

[0788] Step 6:

[0789] The emotion engine periodically monitors the user's emotional state and suggests new interests and activities. It notifies the server of suggestions based on the user's emotional changes, and the user is then presented with new activities tailored to their preferences. These suggestions are made to enhance the user's psychological growth and satisfaction.

[0790] (Application Example 2)

[0791] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0792] In modern society, feelings of social isolation and emotional instability affect many people, and there is a need for a system that understands the user's emotional state and promotes appropriate activities, particularly to alleviate feelings of isolation within the family. This invention aims to improve users' feelings of social isolation and mental health by recognizing the user's emotional state and suggesting appropriate virtual groups and activities based on that state.

[0793] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0794] In this invention, the server includes means for acquiring user registration information, means for analyzing said registration information and recommending relevant virtual groups, and means for acquiring audio and video data and recognizing the user's emotional state. This enables activity recommendations that are tailored to the user's emotions.

[0795] "User registration information" refers to personal information provided by the user, such as name, age, interests, hobbies, preferences, and related data.

[0796] A "virtual group" is a group of users who share common interests or goals and are formed on an online or digital platform.

[0797] "Communication support tools" are functions and services designed to facilitate communication between users, enabling features such as message exchange and event notifications.

[0798] "Means for recognizing emotional states" refer to technologies and devices that understand a user's emotions by analyzing audio and video data.

[0799] A "means of suggesting activities" is a system that presents users with new activities or groups they can join based on their interests, preferences, and emotional state.

[0800] The system that realizes this application example uses a consumer robot to recognize the user's emotional state and suggests appropriate virtual groups and activities. The system operates as follows:

[0801] The server receives voice and video data from the user, which is then sent to a cloud service. In particular, voice data is transcribed using Google Cloud's "Cloud Speech-to-Text," and the "Azure Face API" is used for sentiment analysis. This allows the user's emotional state to be recognized.

[0802] Next, the server uses AWS's "SageMaker" to analyze data based on the user's interests, preferences, and even their perceived emotional state. Based on the analysis results, the most suitable virtual groups and activities are recommended to the user.

[0803] The terminal (consumer robot) presents the user with a recommended list received from the server via voice and visual display. The robot can provide information to the user in a friendly manner and encourage participation through its speaker and display.

[0804] As a concrete example, let's imagine a scenario where a user uses this system while in their living room at home. The robot would sense the user's fatigue, play healing music to promote relaxation, and then suggest participation in an "online yoga class" or similar activity.

[0805] An example of a prompt message could be sent to the generating AI model with the instruction, "Identify the user's current emotions from voice and facial expression data, and suggest relaxation activities appropriate to that emotional state."

[0806] In this way, the system can empathize with the user's emotions, alleviate feelings of social isolation, and support a better life.

[0807] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0808] Step 1:

[0809] The user provides voice and video data to the robot, which acts as the terminal. The robot collects this data and sends it to the server. The input is voice and video data, and the output is sending this data to the cloud in a format that can be processed.

[0810] Step 2:

[0811] The server converts the audio data into text data using Google Cloud's "Cloud Speech-to-Text" service. In this step, audio data is received as input and text data is output.

[0812] Step 3:

[0813] The server sends video data to the Azure Face API to analyze the user's emotional state. Here, video data is taken as input, and the result of the assessment of the user's emotional state is output.

[0814] Step 4:

[0815] The server utilizes AWS's "SageMaker" to analyze data using a generative AI model based on acquired text data and emotional states. The input is text data and emotional information, and the output is a list of recommended activities.

[0816] Step 5:

[0817] The server sends a list of recommended activities based on the analysis results to the terminal. The server provides the terminal with data containing information on the optimal virtual group and activities as output.

[0818] Step 6:

[0819] The terminal presents the user with a list of recommended activities received from the server, using both voice and display. Here, the activity list is taken as input and output to the user in an easy-to-understand format.

[0820] Step 7:

[0821] Based on suggestions from the device, users select activities that interest them and engage in friendly communication. The input is the presented information, and the output is the user's willingness to participate.

[0822] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0823] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0824] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0825] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0826] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0827] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0828] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0829] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0830] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0831] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0832] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0833] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0834] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0835] 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.

[0836] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0837] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0838] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0839] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0840] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0841] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0842] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0843] The following is further disclosed regarding the embodiments described above.

[0844] (Claim 1)

[0845] Means for obtaining user registration information,

[0846] A means of analyzing the registration information and recommending relevant virtual groups,

[0847] A means of allowing users to join a virtual group of their choice anonymously,

[0848] Means to support interaction within the virtual group,

[0849] A means of suggesting new interests and activities to users,

[0850] A system that includes this.

[0851] (Claim 2)

[0852] The system according to claim 1, characterized in that the analysis means presents multiple virtual groups based on the user's interests and preferences.

[0853] (Claim 3)

[0854] The system according to claim 1, characterized in that the communication support means includes communication means that enables message exchange between users.

[0855] "Example 1"

[0856] (Claim 1)

[0857] A means of obtaining information from a device based on the user's interests,

[0858] A means for processing the information and using a generative AI model to analyze and recommend related virtual groups,

[0859] A means of adding users to a virtual group of their choice anonymously and confirming their participation information,

[0860] A means of communication to support communication within a virtual group,

[0861] A means of suggesting new interests and activities based on the user's activity history,

[0862] A system that includes this.

[0863] (Claim 2)

[0864] The system according to claim 1, characterized in that the analysis means selects a highly relevant virtual group using a prompt sentence generated based on user input information.

[0865] (Claim 3)

[0866] The system according to claim 1, characterized in that the communication means includes communication functions that enable message exchange between participants, use of bulletin boards, and setting up meetings.

[0867] "Application Example 1"

[0868] (Claim 1)

[0869] Means for obtaining user registration information,

[0870] A means of analyzing the registration information and recommending relevant virtual groups,

[0871] A means of allowing users to join a virtual group of their choice anonymously,

[0872] Means to support interaction within the virtual group,

[0873] A means of suggesting new interests and activities to users,

[0874] Based on the proposal, a robotic mediation means to support user participation,

[0875] A system that includes this.

[0876] (Claim 2)

[0877] The system according to claim 1, wherein the analysis means presents multiple virtual groups based on the user's interests and preferences, and a robot provides information verbally or visually when presenting the groups.

[0878] (Claim 3)

[0879] The system according to claim 1, wherein the interaction support means includes communication means that enable message exchange between users, and the robot uses speech recognition and generation to facilitate interaction between users and virtual groups.

[0880] "Example 2 of combining an emotion engine"

[0881] (Claim 1)

[0882] Means for obtaining user registration information,

[0883] A means for analyzing the registration information and the user's emotional state to recommend relevant virtual groups,

[0884] A means of allowing users to join a virtual group of their choice anonymously,

[0885] A means to support interaction within the virtual group and enable message exchange and event notifications,

[0886] A means of suggesting new interests and activities to users based on their emotional state,

[0887] A system that includes this.

[0888] (Claim 2)

[0889] The system according to claim 1, characterized in that the analysis means presents multiple virtual groups based on the user's interests, preferences, and emotional state using a generative AI model.

[0890] (Claim 3)

[0891] The system according to claim 1, characterized in that the communication support means includes communication means that enables message exchange between users via a specific platform.

[0892] "Application example 2 when combining with an emotional engine"

[0893] (Claim 1)

[0894] Means for obtaining user registration information,

[0895] A means of analyzing the registration information and recommending relevant virtual groups,

[0896] A means of allowing users to join a virtual group of their choice anonymously,

[0897] Means to support interaction within the virtual group,

[0898] A means of suggesting new interests and activities to users,

[0899] A means of acquiring audio and video data and recognizing emotional states,

[0900] A means of proposing activities based on emotional states,

[0901] A system that includes this.

[0902] (Claim 2)

[0903] The system according to claim 1, characterized in that the analysis means presents a plurality of virtual groups based on the user's interests, preferences, and emotional state.

[0904] (Claim 3)

[0905] The system according to claim 1, characterized in that the communication support means includes a communication means for presenting information to the user using voice output. [Explanation of Symbols]

[0906] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for obtaining user registration information, A means of analyzing the registration information and recommending relevant virtual groups, A means of allowing users to join a virtual group of their choice anonymously, Means to support interaction within the virtual group, A means of suggesting new interests and activities to users, A system that includes this.

2. The system according to claim 1, characterized in that the analysis means presents multiple virtual groups based on the user's interests and preferences.

3. The system according to claim 1, characterized in that the communication support means includes communication means that enables message exchange between users.

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