system

Abstract

We provide the system. [Solution] The information processing device records information about the first and second users and provides a means for selecting candidates for both based on common interests or hobbies. A means for generating a virtual dialogue based on selected candidates, A means of introducing an artificial intelligence program into the generated virtual dialogue that analyzes messages received from the first or second user and generates an appropriate response, Means for sending a response to the first or second user, After implementation, evaluations are received, and a means is provided to improve the response quality of the artificial intelligence program. A means of connecting with family or neighbors based on registered interests and hobbies, and facilitating information sharing. 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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Direct interactions between users in online matching services often involve a psychological burden. In particular, there is a problem that difficulties in starting or ending a conversation and communicating a lack of interest cause stress to users. Also, the conversation content often does not proceed smoothly, which is a factor reducing user satisfaction. The present invention aims to solve these problems and make communication between users smooth and comfortable.

Means for Solving the Problems

[0005] This invention relates to an information processing device that records information on the interests and hobbies of a first user and a second user, and has a function to select users with common interests. A virtual chat is generated between the selected users, and an artificial intelligence agent is introduced into the chat to analyze messages from the users and automatically generate appropriate responses. Furthermore, the artificial intelligence agent has an algorithm that receives feedback from the users after the virtual chat ends and improves the accuracy of the responses based on that feedback. As a result, users can reduce the psychological burden of direct communication and achieve natural and smooth interaction.

[0006] An "information processing device" is an electronic device that has the functions of recording, processing, and communicating data, and effectively manages information between users.

[0007] A "user" is an individual who utilizes a matching service and is an entity that provides information and interacts within the service.

[0008] "Interests or hobbies" refers to categories or topics that users are interested in and enjoy as activities or subjects.

[0009] A "virtual chat" is a system that provides an environment where users can exchange text-based messages with each other over the internet.

[0010] An "artificial intelligence agent" is a program that supports conversations between users by analyzing user input and automatically generating responses.

[0011] "Feedback" refers to evaluations and opinions provided by users regarding a service, and is data that information processing devices use to improve the quality of that service.

[0012] An "algorithm" refers to a series of computational procedures used by an information processing device in the process of generating responses or analyzing data, and is a means of improving its accuracy and efficiency. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This 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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered 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.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] 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).

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] This system begins with user registration and profile setup, followed by matching with other users who share similar interests and hobbies, and then features communication support via an AI agent. Specifically, it works as follows:

[0035] First, the user accesses the service through their device and enters basic information, hobbies, and interests. The device sends this information to the server, which stores it in a database. Based on the user's information, the server searches for other users with similar interests and hobbies. These search results are then presented to the user as matching candidates.

[0036] When a user selects someone they want to talk to, the device reports the selection to the server, which then generates a virtual chat room via an artificial intelligence agent. Within this virtual chat room, the user can freely send text messages.

[0037] The artificial intelligence agent on the server receives a message from the user, analyzes its content, and automatically generates an appropriate response. The response may include information and advice to facilitate the conversation. The generated response is sent to the terminal and displayed to the user.

[0038] Furthermore, after communication is complete, the device requests feedback from the user about the conversation. The user sends this feedback from the device to the server. Based on the feedback, the server updates the algorithm to optimize the AI ​​agent's response. Through this process, the system is continuously improved, providing a better user experience.

[0039] As a concrete example, suppose user A lists "photography" and "hiking" as their hobbies in their profile. Based on this, the server finds user B, who shares the same hobbies, and presents them as a potential match. When user A selects user B and begins a conversation, the artificial intelligence agent provides questions and topics based on mutual interests, facilitating a natural conversation. After the conversation ends, user A provides feedback on the agent's responses, which helps improve the system.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The device displays a screen for the user to enter basic information such as name, age, hobbies, and interests. Once the user enters the information and clicks the submit button, the device sends that information to the server.

[0043] Step 2:

[0044] The server saves the received user information to a database. Once saving is complete, the server generates a user ID and sends it back to the terminal.

[0045] Step 3:

[0046] The server analyzes other user information in the database and uses an algorithm to search for users with common hobbies and interests. The server then creates a list of matching candidates from the results.

[0047] Step 4:

[0048] The device presents the user with a list of candidates, and the user selects the person they wish to talk to. The device then sends the selected person's information to the server.

[0049] Step 5:

[0050] The server creates a virtual chat room between the selected users and uses an artificial intelligence agent to facilitate the process. The server then notifies both users that the chat room is ready.

[0051] Step 6:

[0052] When a user types a message in a chat room, their device sends that message to the server. The server uses an artificial intelligence agent to analyze the message and generate an appropriate response.

[0053] Step 7:

[0054] The server sends the generated response to the terminal, which then displays it to the user. This facilitates conversation between users and promotes natural interaction.

[0055] Step 8:

[0056] If a user wants to end a conversation, they press the end button, and their device sends a request to the server. The server confirms the end of the chat and requests feedback through the device.

[0057] Step 9:

[0058] The user enters feedback into the device, which then sends it to the server. The server analyzes the feedback and updates the AI ​​agent's algorithm to improve the next response.

[0059] (Example 1)

[0060] 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."

[0061] In online communication, facilitating smooth conversations through matching users based on their interests and hobbies is crucial. However, conventional systems have been insufficient in terms of appropriate matching and generating natural conversations, making it difficult to increase user satisfaction. Furthermore, there has been a challenge in that methods for continuously improving the quality of responses generated by artificial intelligence are still limited.

[0062] 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.

[0063] In this invention, the server includes a system means for acquiring and recording user registration information from a terminal, means for selecting candidates based on the recorded information using common interests or hobbies among users, and means for generating a virtual conversation environment based on the selected candidates. This allows users to connect with appropriate conversation partners based on their interests and hobbies, enabling more natural and enriching communication. Furthermore, it is possible to collect feedback from users after the conversation ends and continuously improve the responses of the artificial intelligence agent.

[0064] A "user" is an individual or entity that accesses the system, provides registration information, and communicates with other users.

[0065] A "terminal" is an electronic device used by a user to input information and interact with a system.

[0066] A "server" is a central processing unit that receives, processes, and stores data from users and provides necessary information.

[0067] "Data recording" is the process of saving received user information and making it searchable and available as needed.

[0068] "Shared interests or hobbies" refers to information about overlapping interests or activities among users.

[0069] "Candidate selection" is the process of determining who to propose a connection to, based on recorded information and according to specific criteria.

[0070] A "virtual conversational environment" is a virtual dialogue space created on a computer that allows users to communicate with each other.

[0071] An "artificial intelligence agent" is a program that analyzes received messages and generates responses using natural language processing techniques.

[0072] "Improving response quality" is the process of improving the accuracy and relevance of responses generated by using user feedback and data.

[0073] "Gathering feedback" is the procedure for obtaining feedback from users after a conversation has ended.

[0074] In this invention, the user first accesses the system using a terminal. Here, a terminal refers to an electronic device such as a personal computer or smartphone, which is a device that can send and receive information by communicating with a server.

[0075] Users input their basic information, interests, and hobbies through a terminal and register this information in the system. The terminal sends this information to the server. The server records and stores this information using a database and generates a user identifier. The server is equipped with software commonly used as a database management system (DBMS), enabling efficient data processing.

[0076] The server searches for other users with similar interests and hobbies based on the recorded information and generates a list of candidates. This process utilizes data analysis libraries and programming languages ​​such as Python for information processing. The generated candidate list is sent to the terminal in JSON format and displayed visually to the user.

[0077] When a user selects someone they wish to converse with, that information is sent from their device to the server. Based on this information, the server generates a virtual conversation environment in real time, enabling the exchange of text messages between users. This virtual conversation environment is established by a real-time communication system built using technologies such as Node.js.

[0078] In conversations, artificial intelligence agents play a crucial role. Generative AI models (for example, GPT-based models) deployed on the server receive incoming messages as prompts and automatically generate appropriate responses. Natural language processing (NLP) techniques are used for this response generation, and the responses are sent to the terminal and displayed to the user. A concrete example of a prompt is, "User: I recently started hiking. Do you have any recommendations?" The AI ​​agent could respond, "That's great! What region do you live in? Let's look up some recommended hiking trails around there."

[0079] After the conversation ends, the terminal collects feedback from the user, and the server uses this feedback to improve the response quality of the artificial intelligence agent. Through this process, the system continuously evolves and can provide users with a higher level of satisfaction.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] Users log in to the system using their device and enter their profile information. This information includes their name, age, hobbies, interests, etc. The device sends this information to the server using a secure protocol. The server stores the received information in a database to build the user's individual profile.

[0083] Step 2:

[0084] The server analyzes stored user information and uses database queries to search for other users with similar hobbies and interests. It uses a data analysis library to filter the data and create a list of the most relevant candidates. The server outputs this list to the terminal in JSON format. The terminal then uses this information to display the list of candidates to the user.

[0085] Step 3:

[0086] The user selects a person they wish to converse with from the candidates displayed on their device. The device reports this selection information to the server. The server receives the selection information as input and generates a virtual conversation environment using Node.js's real-time communication capabilities. The generated information is output, and a participation link is provided to the device.

[0087] Step 4:

[0088] The user joins a virtual conversation environment using their device and begins exchanging messages with the other party. An artificial intelligence agent on the server receives the user's messages during this time. These received messages are used as prompts for a generative AI model. The AI ​​agent uses natural language processing techniques to generate and output an appropriate response, which is then sent to the device. The user receives this response and continues the conversation.

[0089] Step 5:

[0090] After the conversation ends, the terminal provides the user with an interface to request feedback. The user enters feedback, which the terminal sends to the server. The server analyzes the feedback and uses it as data to improve the response generation algorithm of the artificial intelligence agent. This process improves the quality of the system's output and will enable a better user experience in the future.

[0091] (Application Example 1)

[0092] 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."

[0093] In today's world, where social interaction tends to decrease, there is a need for people to foster natural conversations based on shared interests and hobbies, and to build new relationships. Furthermore, there is a need for technology that enables advanced communication in daily life through the use of home appliances and robots. Currently, there is a lack of mechanisms to efficiently provide and share information tailored to individual users, so new systems are needed to address these challenges.

[0094] 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.

[0095] In this invention, the server includes means for recording information on a first user and a second user and selecting candidates for both based on common interests or hobbies; means for generating a virtual dialogue based on the selected candidates; means for introducing an artificial intelligence program within the generated virtual dialogue that analyzes messages received from the first user or the second user and generates an appropriate response; and means for connecting with family members or neighbors to facilitate information sharing. This enables natural and enriching conversations and relationship building between users.

[0096] An "information processing device" is a device that has the functions of inputting, storing, processing, generating, and outputting data.

[0097] A "user" refers to an individual or group that uses the system to receive services.

[0098] "Commonality" refers to attributes or characteristics shared by multiple elements.

[0099] A "candidate" is one of the options that should be chosen from among several choices.

[0100] A "virtual dialogue" is a conversation that does not actually exist but is recreated in a digital space.

[0101] An "artificial intelligence program" is software designed to perform specific tasks and possess functions similar to human intelligence.

[0102] "Connection" refers to the act of establishing a communication path between different devices or systems.

[0103] "Information sharing" is the activity of sharing information you possess with others.

[0104] The system for realizing this application is built on an information processing device and an artificial intelligence program. The server handles data communication over a network, records user information in a dedicated database, and selects candidates with related interests and hobbies. This enables virtual dialogue between users. The generation of virtual dialogue incorporates an artificial intelligence program utilizing natural language processing technology, which analyzes received messages and generates appropriate responses.

[0105] The hardware used will consist of home computing devices and networked consumer electronics. The software will include a database management system and natural language processing libraries. Specifically, MySQL® will be used for the database, and Google® Cloud Natural Language API will be applied for natural language processing. An artificial intelligence program will process the user's profile data, and the generated responses will be sent to the end-user's device.

[0106] One concrete example of how this system could be used is for a home assistant device to provide information such as, "There's a photography event happening at a nearby park this weekend," based on a user's registered hobby of "photography." An example prompt for this would be: "A robot will suggest recommended photography locations for a user whose hobby is photography, through conversations with nearby residents. Please create a response for the chatbot when the user asks, 'Where are the best places to take photos in the neighborhood?'"

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] The server receives basic information, hobbies, and interests from the user's terminal as input. This information is recorded in a database. This data is then used to integrate user-related information and for subsequent matching processes.

[0110] Step 2:

[0111] The server searches for other users with similar interests and hobbies based on the information in the recorded database. It receives information about other users in the database as input and generates a list of matching candidates as output. This process involves using database queries to identify profiles with commonalities.

[0112] Step 3:

[0113] The user receives matching candidates presented by the server and selects the user they wish to interact with. This selection is reported from the terminal to the server, and the selected candidate ID is provided as input.

[0114] Step 4:

[0115] The server generates a virtual dialogue based on the selected user information. In this process, an artificial intelligence program is used to create a virtual dialogue room and generates dialogue room information as output.

[0116] Step 5:

[0117] The user enters a message within the virtual dialogue room. The terminal sends this message to the server and receives it as text data.

[0118] Step 6:

[0119] The server analyzes received messages using an artificial intelligence program and generates an appropriate response. Internally, it utilizes natural language processing, and a generative AI model understands the content of the message and generates the output response.

[0120] Step 7:

[0121] The generated response is sent to the user's terminal via the server and displayed to the user.

[0122] Step 8:

[0123] After the virtual dialogue ends, the server receives feedback from the user's terminal. This feedback becomes input data for generating the next response and helps improve the algorithm of the artificial intelligence program.

[0124] 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.

[0125] This invention relates to a system equipped with an artificial intelligence agent incorporating an emotion engine to support communication between users. This system features user registration, profile setup, matching, and emotion-based communication support via the AI ​​agent. Specifically, it is implemented as follows:

[0126] Users access the service through their device and enter the required profile information. The device sends this information to the server, which stores it in a database. The server analyzes the user's interests and hobbies and searches for other users with similar interests. A list of matching candidates is then presented to the user via their device.

[0127] When a user selects someone they wish to converse with, the server creates a virtual chat room and connects the user to an artificial intelligence agent. This agent incorporates an emotion engine that analyzes the user's messages in real time. The emotion engine recognizes the user's emotions from the message content and generates a response based on this. This ensures natural and appropriate responses that match the user's emotions.

[0128] The user receives the generated response via the device and can continue the conversation. The responses provided by the service not only help to facilitate the conversation but also reduce the user's psychological burden.

[0129] When a conversation ends, the user provides feedback through their device. This feedback is sent to the server, and the emotion engine uses it to update its emotion recognition algorithm, helping to improve the accuracy of future response generation.

[0130] As a concrete example, suppose user A inputs, "I like exploring new places, but I feel a little anxious." The server's emotion engine recognizes the emotion of "anxiety," and the artificial intelligence agent generates a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to alleviate your anxiety?" In this way, the conversation progresses while supporting user A's anxiety.

[0131] The following describes the processing flow.

[0132] Step 1:

[0133] The device provides the user with an interface for entering basic profile information (name, age, hobbies, interests, etc.). Once the user enters the information and presses the complete button, the device sends that data to the server.

[0134] Step 2:

[0135] The server analyzes the received user profile information and stores it in a database. The server verifies the integrity of the information, generates a user ID, and returns it to the terminal.

[0136] Step 3:

[0137] The server accesses the database and uses an algorithm to match users with common interests and hobbies. It then creates a list of matching candidates based on the search results.

[0138] Step 4:

[0139] The device displays a list of potential matches to the user, allowing the user to select someone they wish to converse with. Once the user has made their selection, the device sends that information to the server.

[0140] Step 5:

[0141] The server creates a virtual chat room between the selected users. Simultaneously with its creation, an artificial intelligence agent equipped with an emotion engine intervenes in the chat.

[0142] Step 6:

[0143] When a user types a text message in a chat room and presses the send button, the device transmits the message to the server. The server's emotion engine analyzes the message and recognizes the user's emotional state.

[0144] Step 7:

[0145] Based on the emotion data recognized by the server, an artificial intelligence agent generates an appropriate response. The response will take the user's emotions into consideration.

[0146] Step 8:

[0147] The server sends the generated response back to the terminal, which then displays its contents to the user. The user recognizes this and enters the next message.

[0148] Step 9:

[0149] When a user indicates they want to end the conversation, the device sends an end request to the server. The server ends the chat and presents a feedback form on the device.

[0150] Step 10:

[0151] After the user enters feedback, the device sends that data to the server. The server analyzes the feedback and updates the emotion engine and artificial intelligence agent algorithms to improve the accuracy of the response.

[0152] (Example 2)

[0153] 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".

[0154] In modern society, there is a demand for technologies that facilitate communication and reduce the emotional burden on participants. In particular, providing an environment where users can smoothly engage in conversation based on shared interests and hobbies is crucial. Furthermore, accurately recognizing participants' emotions and providing real-time responses based on those emotions is a challenging task for communication support systems. Therefore, this project aims to improve the quality of communication by analyzing user emotions and generating appropriate responses.

[0155] 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.

[0156] In this invention, the server includes means for a user to input registration information using a communication device and for an information processing device to record that registration information; means for searching for someone with common interests or hobbies based on the recorded user information; and means for displaying a list of the searched people and for the user to select a conversation partner from among them. This makes it possible for the user to efficiently start a conversation with someone who matches their interests and to achieve smooth communication in an appropriate chat environment.

[0157] "Communication equipment" refers to devices used by users to input, receive, and transmit information.

[0158] An "information processing device" is an electronic device used to record and analyze user input information.

[0159] "Registration information" refers to personal data such as name, interests, and hobbies that users provide within the system.

[0160] "Shared interests or hobbies" refer to information that is shared among users and serves to attract their mutual interest.

[0161] A "virtual conversation space" is a space that allows users to communicate with each other within a digital environment.

[0162] An "artificial intelligence agent" is an automated program used to analyze messages and generate appropriate responses.

[0163] An "emotion recognition algorithm" is a computational procedure for analyzing emotions from a user's message and generating an appropriate response.

[0164] "Feedback" refers to the opinions and evaluations that users provide regarding the performance of a system.

[0165] To implement this invention, the user must first input registration information using a communication device. The communication device is a device such as a smartphone or personal computer, and includes an interface that allows the user to input profile information. The terminal plays the role of transmitting the input information to the server.

[0166] The server, acting as an information processing device, records received registration information in a database. This database stores data on the user's interests and hobbies. The server uses algorithms to analyze this information and search for other users who share similar interests and hobbies. The algorithms used for analysis compare the recorded characteristics of users and find commonalities.

[0167] Subsequently, the server creates a list of candidates based on the search results and presents it to the user via the terminal. The user selects their desired conversation partner from this list. Upon receiving the selected information, the server generates a virtual conversation space and places an artificial intelligence agent within it. This AI agent is built using a generative AI model and incorporates an emotion recognition algorithm that analyzes the user's messages in real time.

[0168] The AI ​​agent generates appropriate responses based on analyzed emotions and provides them to the user via the device. The generated responses not only facilitate conversation but also reduce the user's emotional burden. For example, if a user inputs, "I like exploring new places, but I feel a little anxious," the AI ​​agent will generate a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to ease your anxiety?"

[0169] Finally, when the conversation ends, the user can enter feedback through their device. This feedback is sent to the server, which uses it to improve the quality of the emotion recognition algorithm.

[0170] An example of a prompt might be: "The user likes exploring new places but says they are a little anxious. Generate an appropriate response to support this feeling."

[0171] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0172] Step 1:

[0173] Users enter profile information using their communication devices. Specifically, users fill in items such as their name, age, hobbies, and interests in a form. The entered information is sent from the device to the server. The server then prepares to store this information in its database.

[0174] Step 2:

[0175] The server records the received registration information in a database. The input data includes user ID, interests, hobbies, etc. The server uses a database management system to organize and efficiently store the data. The output of this process is a clean and accessible dataset for subsequent processing.

[0176] Step 3:

[0177] The server analyzes recorded user information and searches for other users with similar interests or hobbies. The input is the user's saved profile data, and the server uses this to run an algorithm to find compatible users. The output is a list of matching candidates.

[0178] Step 4:

[0179] The server creates a list of searched matching candidates and presents it to the user via the terminal. The user reviews this list and selects someone they wish to converse with. The selection is sent from the terminal to the server and serves as input for the next step.

[0180] Step 5:

[0181] Upon receiving the selected information, the server generates a virtual conversation space. Here, the server sets up a new chat room and deploys an artificial intelligence agent. This AI agent comes pre-loaded with a generative AI model.

[0182] Step 6:

[0183] The AI ​​agent analyzes messages received from the user and identifies the user's emotions using an emotion recognition algorithm. The input is the user's message, which the agent processes in real time. Emotions are analyzed through data processing, and the results are output. Based on this, an appropriate response is generated.

[0184] Step 7:

[0185] The generated response is immediately sent to the terminal and provided to the user. The user can continue communication through this response. The terminal displays the response sent from the AI ​​agent.

[0186] Step 8:

[0187] After the conversation ends, the user enters feedback. The device sends this feedback to the server. The server analyzes the received feedback and uses it to improve the emotion recognition algorithm. This feedback process improves the overall system response performance for the next time.

[0188] (Application Example 2)

[0189] 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".

[0190] In modern society, feelings of loneliness among the elderly are a major social problem. In particular, emotional support is often lacking in nursing homes and home care settings, raising concerns about its negative impact on the psychological health of the elderly. This invention aims to improve this situation and provide an environment where the elderly can communicate with peace of mind. It seeks to appropriately understand the emotions of the elderly and improve their daily comfort.

[0191] 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.

[0192] In this invention, the server includes means for an information processing device to record information on a first user and a second user and select candidates for both based on common interests or hobbies; means for generating a virtual environment based on the selected candidates; means for intervening an artificial intelligence agent within the generated virtual environment to analyze messages received from the first user or the second user and generate an appropriate response; means for analyzing the emotions of the elderly in real time using an emotion engine and providing appropriate feedback; and means for reducing the psychological burden on the elderly by suggesting daily activities. This makes it possible for the elderly to receive appropriate emotional support without feeling lonely.

[0193] An "information processing device" is a device that records user information and performs various processes based on that information.

[0194] "Users" refers to individuals who use this system, and specifically includes elderly people and their caregivers.

[0195] "Interests or hobbies" refers to specific activities or interests that a user is interested in.

[0196] A "candidate" is someone who is presented as a result of selecting users who share common interests or hobbies.

[0197] A "virtual environment" is a digital space created for users to communicate online.

[0198] An "artificial intelligence agent" is software that analyzes messages from users and automatically generates appropriate responses.

[0199] An "emotion engine" is software that analyzes a user's message and recognizes their emotions in real time.

[0200] "Feedback" refers to the evaluations and impressions that users provide after using a system.

[0201] "Response quality" is a criterion for evaluating the appropriateness and naturalness of responses generated by artificial intelligence agents.

[0202] "Daily activities" refer to the actions and habits that users engage in on a daily basis, and are the subject of suggestions aimed at reducing psychological burden.

[0203] To implement this invention, an information processing device is required. This device has the function of recording user information and selecting candidates based on common interests and hobbies. It includes means for generating a virtual environment as a place for communication among the selected users. In this virtual environment, an artificial intelligence agent receives messages from users and analyzes their emotions in real time using an emotion engine. Based on the analysis results, a generative AI model generates an appropriate response and provides it to the user. This process reduces the psychological burden on the user and supports smooth communication.

[0204] The hardware envisioned includes smartphones and robots, while the software will utilize the Python programming language, Google Cloud Natural Language API, and OpenAI® API. This software will securely process data in the cloud, ensuring the privacy of the information generated.

[0205] For example, if an elderly user says, "I feel kind of lonely today," the AI ​​agent will recognize that loneliness using its emotion engine and suggest an activity such as, "Why don't you look at a photo album today to cheer yourself up?" In this way, it supports the psychological comfort of elderly people.

[0206] An example of a prompt in a generative AI model is: "When a user makes a comment expressing loneliness, what kind of activity suggestion can help alleviate their feelings?"

[0207] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0208] Step 1:

[0209] Users access the system using their devices and enter their profile information. The entered information is sent to the server as data on their interests and hobbies. The server uses this data to record it in a database and prepare candidate data for matching with other users.

[0210] Step 2:

[0211] The server analyzes recorded user information and searches for other users with common interests or hobbies. Based on the search results, it generates a list of candidates and presents this list to the user via the terminal. This process uses data analysis techniques to extract commonalities between users.

[0212] Step 3:

[0213] When a user selects someone they wish to communicate with, the server creates a virtual environment. This environment is a digital space for secure communication between users. The created virtual environment is designed to enable real-time message exchange.

[0214] Step 4:

[0215] In a virtual environment, when a user enters a message, it is sent to the server. The server analyzes the received message using an emotion engine and recognizes the user's emotions in real time. It extracts emotion data from the message as input data and processes it.

[0216] Step 5:

[0217] The server uses a generative AI model to generate appropriate responses based on the results of sentiment analysis. The generated responses are designed to match the user's emotions and are output accordingly. User sentiment data is used as the generation prompt.

[0218] Step 6:

[0219] The server sends the generated response to the user via the terminal. The user can then continue communication based on this response. This response may include activity suggestions that reduce the user's psychological burden.

[0220] Step 7:

[0221] After the conversation ends, the user provides feedback. This feedback is sent to the server and used to improve the quality of the emotion engine and generative AI models. This process improves the accuracy of future response generation. The feedback is used as data regarding the appropriateness and naturalness of the response.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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".

[0238] This system begins with user registration and profile setup, followed by matching with other users who share similar interests and hobbies, and then features communication support via an AI agent. Specifically, it works as follows:

[0239] First, the user accesses the service through their device and enters basic information, hobbies, and interests. The device sends this information to the server, which stores it in a database. Based on the user's information, the server searches for other users with similar interests and hobbies. These search results are then presented to the user as matching candidates.

[0240] When a user selects someone they want to talk to, the device reports the selection to the server, which then generates a virtual chat room via an artificial intelligence agent. Within this virtual chat room, the user can freely send text messages.

[0241] The artificial intelligence agent on the server receives a message from the user, analyzes its content, and automatically generates an appropriate response. The response may include information and advice to facilitate the conversation. The generated response is sent to the terminal and displayed to the user.

[0242] Furthermore, after communication is complete, the device requests feedback from the user about the conversation. The user sends this feedback from the device to the server. Based on the feedback, the server updates the algorithm to optimize the AI ​​agent's response. Through this process, the system is continuously improved, providing a better user experience.

[0243] As a concrete example, suppose user A lists "photography" and "hiking" as their hobbies in their profile. Based on this, the server finds user B, who shares the same hobbies, and presents them as a potential match. When user A selects user B and begins a conversation, the artificial intelligence agent provides questions and topics based on mutual interests, facilitating a natural conversation. After the conversation ends, user A provides feedback on the agent's responses, which helps improve the system.

[0244] The following describes the processing flow.

[0245] Step 1:

[0246] The device displays a screen for the user to enter basic information such as name, age, hobbies, and interests. Once the user enters the information and clicks the submit button, the device sends that information to the server.

[0247] Step 2:

[0248] The server saves the received user information to a database. Once saving is complete, the server generates a user ID and sends it back to the terminal.

[0249] Step 3:

[0250] The server analyzes other user information in the database and uses an algorithm to search for users with common hobbies and interests. The server then creates a list of matching candidates from the results.

[0251] Step 4:

[0252] The device presents the user with a list of candidates, and the user selects the person they wish to talk to. The device then sends the selected person's information to the server.

[0253] Step 5:

[0254] The server creates a virtual chat room between the selected users and uses an artificial intelligence agent to facilitate the process. The server then notifies both users that the chat room is ready.

[0255] Step 6:

[0256] When a user types a message in a chat room, their device sends that message to the server. The server uses an artificial intelligence agent to analyze the message and generate an appropriate response.

[0257] Step 7:

[0258] The server sends the generated response to the terminal, which then displays it to the user. This facilitates conversation between users and promotes natural interaction.

[0259] Step 8:

[0260] If a user wants to end a conversation, they press the end button, and their device sends a request to the server. The server confirms the end of the chat and requests feedback through the device.

[0261] Step 9:

[0262] The user enters feedback into the device, which then sends it to the server. The server analyzes the feedback and updates the AI ​​agent's algorithm to improve the next response.

[0263] (Example 1)

[0264] 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."

[0265] In online communication, facilitating smooth conversations through matching users based on their interests and hobbies is crucial. However, conventional systems have been insufficient in terms of appropriate matching and generating natural conversations, making it difficult to increase user satisfaction. Furthermore, there has been a challenge in that methods for continuously improving the quality of responses generated by artificial intelligence are still limited.

[0266] 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.

[0267] In this invention, the server includes a system means for acquiring and recording user registration information from a terminal, means for selecting candidates based on the recorded information using common interests or hobbies among users, and means for generating a virtual conversation environment based on the selected candidates. This allows users to connect with appropriate conversation partners based on their interests and hobbies, enabling more natural and enriching communication. Furthermore, it is possible to collect feedback from users after the conversation ends and continuously improve the responses of the artificial intelligence agent.

[0268] A "user" is an individual or entity that accesses the system, provides registration information, and communicates with other users.

[0269] A "terminal" is an electronic device used by a user to input information and interact with a system.

[0270] A "server" is a central processing unit that receives, processes, and stores data from users and provides necessary information.

[0271] "Data recording" is the process of saving received user information and making it searchable and available as needed.

[0272] "Shared interests or hobbies" refers to information about overlapping interests or activities among users.

[0273] "Candidate selection" is the process of determining who to propose a connection to, based on recorded information and according to specific criteria.

[0274] A "virtual conversational environment" is a virtual dialogue space created on a computer that allows users to communicate with each other.

[0275] An "artificial intelligence agent" is a program that analyzes received messages and generates responses using natural language processing techniques.

[0276] "Improving response quality" is the process of improving the accuracy and relevance of responses generated by using user feedback and data.

[0277] "Gathering feedback" is the procedure for obtaining feedback from users after a conversation has ended.

[0278] In this invention, the user first accesses the system using a terminal. Here, a terminal refers to an electronic device such as a personal computer or smartphone, which is a device that can send and receive information by communicating with a server.

[0279] Users input their basic information, interests, and hobbies through a terminal and register this information in the system. The terminal sends this information to the server. The server records and stores this information using a database and generates a user identifier. The server is equipped with software commonly used as a database management system (DBMS), enabling efficient data processing.

[0280] The server searches for other users with similar interests and hobbies based on the recorded information and generates a list of candidates. This process utilizes data analysis libraries and programming languages ​​such as Python for information processing. The generated candidate list is sent to the terminal in JSON format and displayed visually to the user.

[0281] When a user selects someone they wish to converse with, that information is sent from their device to the server. Based on this information, the server generates a virtual conversation environment in real time, enabling the exchange of text messages between users. This virtual conversation environment is established by a real-time communication system built using technologies such as Node.js.

[0282] In a conversation, an artificial intelligence agent plays an important role. The generative AI model (e.g., a GPT-based model) placed on the server receives the received message as a prompt and automatically generates an appropriate response. For this response generation, natural language processing (NLP) technology is utilized, and the response content is sent to the terminal and displayed to the user. As a specific example of the prompt sentence, "User: I recently started hiking. Are there any recommended places?" exists, and the AI agent can respond to this with "That's great! Where do you live? Let's look for recommended hiking courses around there."

[0283] After the conversation ends, the terminal collects feedback from the user, and based on this feedback, the server makes improvements to enhance the response quality of the artificial intelligence agent. Through this process, the system can continuously evolve and provide higher satisfaction to the user.

[0284] The flow of the specific process in Example 1 will be described using FIG. 11.

[0285] Step 1:

[0286] The user logs in to the system using the terminal and enters profile information. Here, the information entered includes name, age, hobbies, interests, etc. The terminal sends this information to the server using a secure protocol. The server constructs the user's individual profile by storing the received information in the database.

[0287] Step 2:

[0288] The server analyzes stored user information and uses database queries to search for other users with similar hobbies and interests. It uses a data analysis library to filter the data and create a list of the most relevant candidates. The server outputs this list to the terminal in JSON format. The terminal then uses this information to display the list of candidates to the user.

[0289] Step 3:

[0290] The user selects a person they wish to converse with from the candidates displayed on their device. The device reports this selection information to the server. The server receives the selection information as input and generates a virtual conversation environment using Node.js's real-time communication capabilities. The generated information is output, and a participation link is provided to the device.

[0291] Step 4:

[0292] The user joins a virtual conversation environment using their device and begins exchanging messages with the other party. An artificial intelligence agent on the server receives the user's messages during this time. These received messages are used as prompts for a generative AI model. The AI ​​agent uses natural language processing techniques to generate and output an appropriate response, which is then sent to the device. The user receives this response and continues the conversation.

[0293] Step 5:

[0294] After the conversation ends, the terminal provides the user with an interface to request feedback. The user enters feedback, which the terminal sends to the server. The server analyzes the feedback and uses it as data to improve the response generation algorithm of the artificial intelligence agent. This process improves the quality of the system's output and will enable a better user experience in the future.

[0295] (Application Example 1)

[0296] 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."

[0297] In today's world, where social interaction tends to decrease, there is a need for people to foster natural conversations based on shared interests and hobbies, and to build new relationships. Furthermore, there is a need for technology that enables advanced communication in daily life through the use of home appliances and robots. Currently, there is a lack of mechanisms to efficiently provide and share information tailored to individual users, so new systems are needed to address these challenges.

[0298] 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.

[0299] In this invention, the server includes means for recording information on a first user and a second user and selecting candidates for both based on common interests or hobbies; means for generating a virtual dialogue based on the selected candidates; means for introducing an artificial intelligence program within the generated virtual dialogue that analyzes messages received from the first user or the second user and generates an appropriate response; and means for connecting with family members or neighbors to facilitate information sharing. This enables natural and enriching conversations and relationship building between users.

[0300] An "information processing device" is a device that has the functions of inputting, storing, processing, generating, and outputting data.

[0301] A "user" refers to an individual or group that uses the system to receive services.

[0302] "Commonality" refers to attributes or characteristics shared by multiple elements.

[0303] A "candidate" is one of the options that should be chosen from among several choices.

[0304] "Virtual conversation" refers to a conversation that does not actually exist but is reproduced within a digital space.

[0305] "Artificial intelligence program" refers to software that has functions similar to human intelligence and is designed to perform specific tasks.

[0306] "Connection" refers to the act of establishing a communication path between different devices or systems.

[0307] "Sharing of information" refers to the activity of sharing the information one has with others.

[0308] The system for realizing this application example is constructed based on an information processing device and an artificial intelligence program. The server performs data communication via a network, records user information in a dedicated database, and selects candidates with mutually related interests and hobbies. This enables virtual conversations between users. For generating virtual conversations, an artificial intelligence program using natural language processing technology is incorporated, which analyzes the received messages and generates appropriate responses.

[0309] As hardware, home computing devices and consumer devices connected to a network are used. As software, a database management system and a natural language processing library are introduced. As a specific example, MySQL is used for the database, and Google Cloud Natural Language API is applied to natural language processing. The user's profile data is processed by the artificial intelligence program, and the generated response is sent to the end-user's terminal.

[0310] One concrete example of how this system could be used is for a home assistant device to provide information such as, "There's a photography event happening at a nearby park this weekend," based on a user's registered hobby of "photography." An example prompt for this would be: "A robot will suggest recommended photography locations for a user whose hobby is photography, through conversations with nearby residents. Please create a response for the chatbot when the user asks, 'Where are the best places to take photos in the neighborhood?'"

[0311] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0312] Step 1:

[0313] The server receives basic information, hobbies, and interests from the user's terminal as input. This information is recorded in a database. This data is then used to integrate user-related information and for subsequent matching processes.

[0314] Step 2:

[0315] The server searches for other users with similar interests and hobbies based on the information in the recorded database. It receives information about other users in the database as input and generates a list of matching candidates as output. This process involves using database queries to identify profiles with commonalities.

[0316] Step 3:

[0317] The user receives matching candidates presented by the server and selects the user they wish to interact with. This selection is reported from the terminal to the server, and the selected candidate ID is provided as input.

[0318] Step 4:

[0319] The server generates a virtual dialogue based on the selected user information. In this process, an artificial intelligence program is used to create a virtual dialogue room and generates dialogue room information as output.

[0320] Step 5:

[0321] The user enters a message within the virtual dialogue room. The terminal sends this message to the server and receives it as text data.

[0322] Step 6:

[0323] The server analyzes received messages using an artificial intelligence program and generates an appropriate response. Internally, it utilizes natural language processing, and a generative AI model understands the content of the message and generates the output response.

[0324] Step 7:

[0325] The generated response is sent to the user's terminal via the server and displayed to the user.

[0326] Step 8:

[0327] After the virtual dialogue ends, the server receives feedback from the user's terminal. This feedback becomes input data for generating the next response and helps improve the algorithm of the artificial intelligence program.

[0328] 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.

[0329] This invention relates to a system equipped with an artificial intelligence agent incorporating an emotion engine to support communication between users. This system features user registration, profile setup, matching, and emotion-based communication support via the AI ​​agent. Specifically, it is implemented as follows:

[0330] Users access the service through their device and enter the required profile information. The device sends this information to the server, which stores it in a database. The server analyzes the user's interests and hobbies and searches for other users with similar interests. A list of matching candidates is then presented to the user via their device.

[0331] When a user selects someone they wish to converse with, the server creates a virtual chat room and connects the user to an artificial intelligence agent. This agent incorporates an emotion engine that analyzes the user's messages in real time. The emotion engine recognizes the user's emotions from the message content and generates a response based on this. This ensures natural and appropriate responses that match the user's emotions.

[0332] The user receives the generated response via the device and can continue the conversation. The responses provided by the service not only help to facilitate the conversation but also reduce the user's psychological burden.

[0333] When a conversation ends, the user provides feedback through their device. This feedback is sent to the server, and the emotion engine uses it to update its emotion recognition algorithm, helping to improve the accuracy of future response generation.

[0334] As a concrete example, suppose user A inputs, "I like exploring new places, but I feel a little anxious." The server's emotion engine recognizes the emotion of "anxiety," and the artificial intelligence agent generates a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to alleviate your anxiety?" In this way, the conversation progresses while supporting user A's anxiety.

[0335] The following describes the processing flow.

[0336] Step 1:

[0337] The device provides the user with an interface for entering basic profile information (name, age, hobbies, interests, etc.). Once the user enters the information and presses the complete button, the device sends that data to the server.

[0338] Step 2:

[0339] The server analyzes the received user profile information and stores it in a database. The server verifies the integrity of the information, generates a user ID, and returns it to the terminal.

[0340] Step 3:

[0341] The server accesses the database and uses an algorithm to match users with common interests and hobbies. It then creates a list of matching candidates based on the search results.

[0342] Step 4:

[0343] The device displays a list of potential matches to the user, allowing the user to select someone they wish to converse with. Once the user has made their selection, the device sends that information to the server.

[0344] Step 5:

[0345] The server creates a virtual chat room between the selected users. Simultaneously with its creation, an artificial intelligence agent equipped with an emotion engine intervenes in the chat.

[0346] Step 6:

[0347] When a user types a text message in a chat room and presses the send button, the device transmits the message to the server. The server's emotion engine analyzes the message and recognizes the user's emotional state.

[0348] Step 7:

[0349] Based on the emotion data recognized by the server, an artificial intelligence agent generates an appropriate response. The response will take the user's emotions into consideration.

[0350] Step 8:

[0351] The server sends the generated response back to the terminal, which then displays its contents to the user. The user recognizes this and enters the next message.

[0352] Step 9:

[0353] When a user indicates they want to end the conversation, the device sends an end request to the server. The server ends the chat and presents a feedback form on the device.

[0354] Step 10:

[0355] After the user enters feedback, the device sends that data to the server. The server analyzes the feedback and updates the emotion engine and artificial intelligence agent algorithms to improve the accuracy of the response.

[0356] (Example 2)

[0357] 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".

[0358] In modern society, there is a demand for technologies that facilitate communication and reduce the emotional burden on participants. In particular, providing an environment where users can smoothly engage in conversation based on shared interests and hobbies is crucial. Furthermore, accurately recognizing participants' emotions and providing real-time responses based on those emotions is a challenging task for communication support systems. Therefore, this project aims to improve the quality of communication by analyzing user emotions and generating appropriate responses.

[0359] 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.

[0360] In this invention, the server includes means for a user to input registration information using a communication device and for an information processing device to record that registration information; means for searching for someone with common interests or hobbies based on the recorded user information; and means for displaying a list of the searched people and for the user to select a conversation partner from among them. This makes it possible for the user to efficiently start a conversation with someone who matches their interests and to achieve smooth communication in an appropriate chat environment.

[0361] "Communication equipment" refers to devices used by users to input, receive, and transmit information.

[0362] An "information processing device" is an electronic device used to record and analyze user input information.

[0363] "Registration information" refers to personal data such as name, interests, and hobbies that users provide within the system.

[0364] "Shared interests or hobbies" refer to information that is shared among users and serves to attract their mutual interest.

[0365] A "virtual conversation space" is a space that allows users to communicate with each other within a digital environment.

[0366] An "artificial intelligence agent" is an automated program used to analyze messages and generate appropriate responses.

[0367] An "emotion recognition algorithm" is a computational procedure for analyzing emotions from a user's message and generating an appropriate response.

[0368] "Feedback" refers to the opinions and evaluations that users provide regarding the performance of a system.

[0369] To implement this invention, the user must first input registration information using a communication device. The communication device is a device such as a smartphone or personal computer, and includes an interface that allows the user to input profile information. The terminal plays the role of transmitting the input information to the server.

[0370] The server, acting as an information processing device, records received registration information in a database. This database stores data on the user's interests and hobbies. The server uses algorithms to analyze this information and search for other users who share similar interests and hobbies. The algorithms used for analysis compare the recorded characteristics of users and find commonalities.

[0371] Subsequently, the server creates a list of candidates based on the search results and presents it to the user via the terminal. The user selects their desired conversation partner from this list. Upon receiving the selected information, the server generates a virtual conversation space and places an artificial intelligence agent within it. This AI agent is built using a generative AI model and incorporates an emotion recognition algorithm that analyzes the user's messages in real time.

[0372] The AI ​​agent generates appropriate responses based on analyzed emotions and provides them to the user via the device. The generated responses not only facilitate conversation but also reduce the user's emotional burden. For example, if a user inputs, "I like exploring new places, but I feel a little anxious," the AI ​​agent will generate a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to ease your anxiety?"

[0373] Finally, when the conversation ends, the user can enter feedback through their device. This feedback is sent to the server, which uses it to improve the quality of the emotion recognition algorithm.

[0374] An example of a prompt might be: "The user likes exploring new places but says they are a little anxious. Generate an appropriate response to support this feeling."

[0375] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0376] Step 1:

[0377] Users enter profile information using their communication devices. Specifically, users fill in items such as their name, age, hobbies, and interests in a form. The entered information is sent from the device to the server. The server then prepares to store this information in its database.

[0378] Step 2:

[0379] The server records the received registration information in a database. The input data includes user ID, interests, hobbies, etc. The server uses a database management system to organize and efficiently store the data. The output of this process is a clean and accessible dataset for subsequent processing.

[0380] Step 3:

[0381] The server analyzes recorded user information and searches for other users with similar interests or hobbies. The input is the user's saved profile data, and the server uses this to run an algorithm to find compatible users. The output is a list of matching candidates.

[0382] Step 4:

[0383] The server creates a list of searched matching candidates and presents it to the user via the terminal. The user reviews this list and selects someone they wish to converse with. The selection is sent from the terminal to the server and serves as input for the next step.

[0384] Step 5:

[0385] Upon receiving the selected information, the server generates a virtual conversation space. Here, the server sets up a new chat room and deploys an artificial intelligence agent. This AI agent comes pre-loaded with a generative AI model.

[0386] Step 6:

[0387] The AI ​​agent analyzes messages received from the user and identifies the user's emotions using an emotion recognition algorithm. The input is the user's message, which the agent processes in real time. Emotions are analyzed through data processing, and the results are output. Based on this, an appropriate response is generated.

[0388] Step 7:

[0389] The generated response is immediately sent to the terminal and provided to the user. The user can continue communication through this response. The terminal displays the response sent from the AI ​​agent.

[0390] Step 8:

[0391] After the conversation ends, the user enters feedback. The device sends this feedback to the server. The server analyzes the received feedback and uses it to improve the emotion recognition algorithm. This feedback process improves the overall system response performance for the next time.

[0392] (Application Example 2)

[0393] 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."

[0394] In modern society, feelings of loneliness among the elderly are a major social problem. In particular, emotional support is often lacking in nursing homes and home care settings, raising concerns about its negative impact on the psychological health of the elderly. This invention aims to improve this situation and provide an environment where the elderly can communicate with peace of mind. It seeks to appropriately understand the emotions of the elderly and improve their daily comfort.

[0395] 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.

[0396] In this invention, the server includes means for an information processing device to record information on a first user and a second user and select candidates for both based on common interests or hobbies; means for generating a virtual environment based on the selected candidates; means for intervening an artificial intelligence agent within the generated virtual environment to analyze messages received from the first user or the second user and generate an appropriate response; means for analyzing the emotions of the elderly in real time using an emotion engine and providing appropriate feedback; and means for reducing the psychological burden on the elderly by suggesting daily activities. This makes it possible for the elderly to receive appropriate emotional support without feeling lonely.

[0397] An "information processing device" is a device that records user information and performs various processes based on that information.

[0398] "Users" refers to individuals who use this system, and specifically includes elderly people and their caregivers.

[0399] "Interests or hobbies" refers to specific activities or interests that a user is interested in.

[0400] A "candidate" is someone who is presented as a result of selecting users who share common interests or hobbies.

[0401] A "virtual environment" is a digital space created for users to communicate online.

[0402] An "artificial intelligence agent" is software that analyzes messages from users and automatically generates appropriate responses.

[0403] An "emotion engine" is software that analyzes a user's message and recognizes their emotions in real time.

[0404] "Feedback" refers to the evaluations and impressions that users provide after using a system.

[0405] "Response quality" is a criterion for evaluating the appropriateness and naturalness of responses generated by artificial intelligence agents.

[0406] "Daily activities" refer to the actions and habits that users engage in on a daily basis, and are the subject of suggestions aimed at reducing psychological burden.

[0407] To implement this invention, an information processing device is required. This device has the function of recording user information and selecting candidates based on common interests and hobbies. It includes means for generating a virtual environment as a place for communication among the selected users. In this virtual environment, an artificial intelligence agent receives messages from users and analyzes their emotions in real time using an emotion engine. Based on the analysis results, a generative AI model generates an appropriate response and provides it to the user. This process reduces the psychological burden on the user and supports smooth communication.

[0408] The hardware envisioned includes smartphones and robots, while the software will utilize the Python programming language, Google Cloud Natural Language API, and OpenAI API. This software will securely process data in the cloud, ensuring the privacy of the information generated.

[0409] For example, if an elderly user says, "I feel kind of lonely today," the AI ​​agent will recognize that loneliness using its emotion engine and suggest an activity such as, "Why don't you look at a photo album today to cheer yourself up?" In this way, it supports the psychological comfort of elderly people.

[0410] An example of a prompt in a generative AI model is: "When a user makes a comment expressing loneliness, what kind of activity suggestion can help alleviate their feelings?"

[0411] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0412] Step 1:

[0413] Users access the system using their devices and enter their profile information. The entered information is sent to the server as data on their interests and hobbies. The server uses this data to record it in a database and prepare candidate data for matching with other users.

[0414] Step 2:

[0415] The server analyzes recorded user information and searches for other users with common interests or hobbies. Based on the search results, it generates a list of candidates and presents this list to the user via the terminal. This process uses data analysis techniques to extract commonalities between users.

[0416] Step 3:

[0417] When a user selects someone they wish to communicate with, the server creates a virtual environment. This environment is a digital space for secure communication between users. The created virtual environment is designed to enable real-time message exchange.

[0418] Step 4:

[0419] In a virtual environment, when a user enters a message, it is sent to the server. The server analyzes the received message using an emotion engine and recognizes the user's emotions in real time. It extracts emotion data from the message as input data and processes it.

[0420] Step 5:

[0421] The server uses a generative AI model to generate appropriate responses based on the results of sentiment analysis. The generated responses are designed to match the user's emotions and are output accordingly. User sentiment data is used as the generation prompt.

[0422] Step 6:

[0423] The server sends the generated response to the user via the terminal. The user can then continue communication based on this response. This response may include activity suggestions that reduce the user's psychological burden.

[0424] Step 7:

[0425] After the conversation ends, the user provides feedback. This feedback is sent to the server and used to improve the quality of the emotion engine and generative AI models. This process improves the accuracy of future response generation. The feedback is used as data regarding the appropriateness and naturalness of the response.

[0426] 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.

[0427] 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.

[0428] 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.

[0429] [Third Embodiment]

[0430] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0431] 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.

[0432] 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).

[0433] 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.

[0434] 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.

[0435] 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).

[0436] 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.

[0437] 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.

[0438] 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.

[0439] 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.

[0440] 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.

[0441] 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".

[0442] This system begins with user registration and profile setup, followed by matching with other users who share similar interests and hobbies, and then features communication support via an AI agent. Specifically, it works as follows:

[0443] First, the user accesses the service through their device and enters basic information, hobbies, and interests. The device sends this information to the server, which stores it in a database. Based on the user's information, the server searches for other users with similar interests and hobbies. These search results are then presented to the user as matching candidates.

[0444] When a user selects someone they want to talk to, the device reports the selection to the server, which then generates a virtual chat room via an artificial intelligence agent. Within this virtual chat room, the user can freely send text messages.

[0445] The artificial intelligence agent on the server receives a message from the user, analyzes its content, and automatically generates an appropriate response. The response may include information and advice to facilitate the conversation. The generated response is sent to the terminal and displayed to the user.

[0446] Furthermore, after communication is complete, the device requests feedback from the user about the conversation. The user sends this feedback from the device to the server. Based on the feedback, the server updates the algorithm to optimize the AI ​​agent's response. Through this process, the system is continuously improved, providing a better user experience.

[0447] As a concrete example, suppose user A lists "photography" and "hiking" as their hobbies in their profile. Based on this, the server finds user B, who shares the same hobbies, and presents them as a potential match. When user A selects user B and begins a conversation, the artificial intelligence agent provides questions and topics based on mutual interests, facilitating a natural conversation. After the conversation ends, user A provides feedback on the agent's responses, which helps improve the system.

[0448] The following describes the processing flow.

[0449] Step 1:

[0450] The device displays a screen for the user to enter basic information such as name, age, hobbies, and interests. Once the user enters the information and clicks the submit button, the device sends that information to the server.

[0451] Step 2:

[0452] The server saves the received user information to a database. Once saving is complete, the server generates a user ID and sends it back to the terminal.

[0453] Step 3:

[0454] The server analyzes other user information in the database and uses an algorithm to search for users with common hobbies and interests. The server then creates a list of matching candidates from the results.

[0455] Step 4:

[0456] The device presents the user with a list of candidates, and the user selects the person they wish to talk to. The device then sends the selected person's information to the server.

[0457] Step 5:

[0458] The server creates a virtual chat room between the selected users and uses an artificial intelligence agent to facilitate the process. The server then notifies both users that the chat room is ready.

[0459] Step 6:

[0460] When a user types a message in a chat room, their device sends that message to the server. The server uses an artificial intelligence agent to analyze the message and generate an appropriate response.

[0461] Step 7:

[0462] The server sends the generated response to the terminal, which then displays it to the user. This facilitates conversation between users and promotes natural interaction.

[0463] Step 8:

[0464] If a user wants to end a conversation, they press the end button, and their device sends a request to the server. The server confirms the end of the chat and requests feedback through the device.

[0465] Step 9:

[0466] The user enters feedback into the device, which then sends it to the server. The server analyzes the feedback and updates the AI ​​agent's algorithm to improve the next response.

[0467] (Example 1)

[0468] 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."

[0469] In online communication, facilitating smooth conversations through matching users based on their interests and hobbies is crucial. However, conventional systems have been insufficient in terms of appropriate matching and generating natural conversations, making it difficult to increase user satisfaction. Furthermore, there has been a challenge in that methods for continuously improving the quality of responses generated by artificial intelligence are still limited.

[0470] 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.

[0471] In this invention, the server includes a system means for acquiring and recording user registration information from a terminal, means for selecting candidates based on the recorded information using common interests or hobbies among users, and means for generating a virtual conversation environment based on the selected candidates. This allows users to connect with appropriate conversation partners based on their interests and hobbies, enabling more natural and enriching communication. Furthermore, it is possible to collect feedback from users after the conversation ends and continuously improve the responses of the artificial intelligence agent.

[0472] A "user" is an individual or entity that accesses the system, provides registration information, and communicates with other users.

[0473] A "terminal" is an electronic device used by a user to input information and interact with a system.

[0474] A "server" is a central processing unit that receives, processes, and stores data from users and provides necessary information.

[0475] "Data recording" is the process of saving received user information and making it searchable and available as needed.

[0476] "Shared interests or hobbies" refers to information about overlapping interests or activities among users.

[0477] "Candidate selection" is the process of determining who to propose a connection to, based on recorded information and according to specific criteria.

[0478] A "virtual conversational environment" is a virtual dialogue space created on a computer that allows users to communicate with each other.

[0479] An "artificial intelligence agent" is a program that analyzes received messages and generates responses using natural language processing techniques.

[0480] "Improving response quality" is the process of improving the accuracy and relevance of responses generated by using user feedback and data.

[0481] "Gathering feedback" is the procedure for obtaining feedback from users after a conversation has ended.

[0482] In this invention, the user first accesses the system using a terminal. Here, a terminal refers to an electronic device such as a personal computer or smartphone, which is a device that can send and receive information by communicating with a server.

[0483] Users input their basic information, interests, and hobbies through a terminal and register this information in the system. The terminal sends this information to the server. The server records and stores this information using a database and generates a user identifier. The server is equipped with software commonly used as a database management system (DBMS), enabling efficient data processing.

[0484] The server searches for other users with similar interests and hobbies based on the recorded information and generates a list of candidates. This process utilizes data analysis libraries and programming languages ​​such as Python for information processing. The generated candidate list is sent to the terminal in JSON format and displayed visually to the user.

[0485] When a user selects someone they wish to converse with, that information is sent from their device to the server. Based on this information, the server generates a virtual conversation environment in real time, enabling the exchange of text messages between users. This virtual conversation environment is established by a real-time communication system built using technologies such as Node.js.

[0486] In conversations, artificial intelligence agents play a crucial role. Generative AI models (for example, GPT-based models) deployed on the server receive incoming messages as prompts and automatically generate appropriate responses. Natural language processing (NLP) techniques are used for this response generation, and the responses are sent to the terminal and displayed to the user. A concrete example of a prompt is, "User: I recently started hiking. Do you have any recommendations?" The AI ​​agent could respond, "That's great! What region do you live in? Let's look up some recommended hiking trails around there."

[0487] After the conversation ends, the terminal collects feedback from the user, and the server uses this feedback to improve the response quality of the artificial intelligence agent. Through this process, the system continuously evolves and can provide users with a higher level of satisfaction.

[0488] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0489] Step 1:

[0490] Users log in to the system using their device and enter their profile information. This information includes their name, age, hobbies, interests, etc. The device sends this information to the server using a secure protocol. The server stores the received information in a database to build the user's individual profile.

[0491] Step 2:

[0492] The server analyzes stored user information and uses database queries to search for other users with similar hobbies and interests. It uses a data analysis library to filter the data and create a list of the most relevant candidates. The server outputs this list to the terminal in JSON format. The terminal then uses this information to display the list of candidates to the user.

[0493] Step 3:

[0494] The user selects a person they wish to converse with from the candidates displayed on their device. The device reports this selection information to the server. The server receives the selection information as input and generates a virtual conversation environment using Node.js's real-time communication capabilities. The generated information is output, and a participation link is provided to the device.

[0495] Step 4:

[0496] The user joins a virtual conversation environment using their device and begins exchanging messages with the other party. An artificial intelligence agent on the server receives the user's messages during this time. These received messages are used as prompts for a generative AI model. The AI ​​agent uses natural language processing techniques to generate and output an appropriate response, which is then sent to the device. The user receives this response and continues the conversation.

[0497] Step 5:

[0498] After the conversation ends, the terminal provides the user with an interface to request feedback. The user enters feedback, which the terminal sends to the server. The server analyzes the feedback and uses it as data to improve the response generation algorithm of the artificial intelligence agent. This process improves the quality of the system's output and will enable a better user experience in the future.

[0499] (Application Example 1)

[0500] 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."

[0501] In today's world, where social interaction tends to decrease, there is a need for people to foster natural conversations based on shared interests and hobbies, and to build new relationships. Furthermore, there is a need for technology that enables advanced communication in daily life through the use of home appliances and robots. Currently, there is a lack of mechanisms to efficiently provide and share information tailored to individual users, so new systems are needed to address these challenges.

[0502] 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.

[0503] In this invention, the server includes means for recording information on a first user and a second user and selecting candidates for both based on common interests or hobbies; means for generating a virtual dialogue based on the selected candidates; means for introducing an artificial intelligence program within the generated virtual dialogue that analyzes messages received from the first user or the second user and generates an appropriate response; and means for connecting with family members or neighbors to facilitate information sharing. This enables natural and enriching conversations and relationship building between users.

[0504] An "information processing device" is a device that has the functions of inputting, storing, processing, generating, and outputting data.

[0505] A "user" refers to an individual or group that uses the system to receive services.

[0506] "Commonality" refers to attributes or characteristics shared by multiple elements.

[0507] A "candidate" is one of the options that should be chosen from among several choices.

[0508] A "virtual dialogue" is a conversation that does not actually exist but is recreated in a digital space.

[0509] An "artificial intelligence program" is software designed to perform specific tasks and possess functions similar to human intelligence.

[0510] "Connection" refers to the act of establishing a communication path between different devices or systems.

[0511] "Information sharing" is the activity of sharing information you possess with others.

[0512] The system for realizing this application is built on an information processing device and an artificial intelligence program. The server handles data communication over a network, records user information in a dedicated database, and selects candidates with related interests and hobbies. This enables virtual dialogue between users. The generation of virtual dialogue incorporates an artificial intelligence program utilizing natural language processing technology, which analyzes received messages and generates appropriate responses.

[0513] The hardware used will consist of home computing devices and networked consumer electronics. The software will include a database management system and natural language processing libraries. Specifically, MySQL will be used for the database, and the Google Cloud Natural Language API will be applied for natural language processing. An artificial intelligence program will process the user's profile data, and the generated responses will be sent to the end user's device.

[0514] One concrete example of how this system could be used is for a home assistant device to provide information such as, "There's a photography event happening at a nearby park this weekend," based on a user's registered hobby of "photography." An example prompt for this would be: "A robot will suggest recommended photography locations for a user whose hobby is photography, through conversations with nearby residents. Please create a response for the chatbot when the user asks, 'Where are the best places to take photos in the neighborhood?'"

[0515] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0516] Step 1:

[0517] The server receives basic information, hobbies, and interests from the user's terminal as input. This information is recorded in a database. This data is then used to integrate user-related information and for subsequent matching processes.

[0518] Step 2:

[0519] The server searches for other users with similar interests and hobbies based on the information in the recorded database. It receives information about other users in the database as input and generates a list of matching candidates as output. This process involves using database queries to identify profiles with commonalities.

[0520] Step 3:

[0521] The user receives matching candidates presented by the server and selects the user they wish to interact with. This selection is reported from the terminal to the server, and the selected candidate ID is provided as input.

[0522] Step 4:

[0523] The server generates a virtual dialogue based on the selected user information. In this process, an artificial intelligence program is used to create a virtual dialogue room and generates dialogue room information as output.

[0524] Step 5:

[0525] The user enters a message within the virtual dialogue room. The terminal sends this message to the server and receives it as text data.

[0526] Step 6:

[0527] The server analyzes received messages using an artificial intelligence program and generates an appropriate response. Internally, it utilizes natural language processing, and a generative AI model understands the content of the message and generates the output response.

[0528] Step 7:

[0529] The generated response is sent to the user's terminal via the server and displayed to the user.

[0530] Step 8:

[0531] After the virtual dialogue ends, the server receives feedback from the user's terminal. This feedback becomes input data for generating the next response and helps improve the algorithm of the artificial intelligence program.

[0532] 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.

[0533] This invention relates to a system equipped with an artificial intelligence agent incorporating an emotion engine to support communication between users. This system features user registration, profile setup, matching, and emotion-based communication support via the AI ​​agent. Specifically, it is implemented as follows:

[0534] Users access the service through their device and enter the required profile information. The device sends this information to the server, which stores it in a database. The server analyzes the user's interests and hobbies and searches for other users with similar interests. A list of matching candidates is then presented to the user via their device.

[0535] When a user selects someone they wish to converse with, the server creates a virtual chat room and connects the user to an artificial intelligence agent. This agent incorporates an emotion engine that analyzes the user's messages in real time. The emotion engine recognizes the user's emotions from the message content and generates a response based on this. This ensures natural and appropriate responses that match the user's emotions.

[0536] The user receives the generated response via the device and can continue the conversation. The responses provided by the service not only help to facilitate the conversation but also reduce the user's psychological burden.

[0537] When a conversation ends, the user provides feedback through their device. This feedback is sent to the server, and the emotion engine uses it to update its emotion recognition algorithm, helping to improve the accuracy of future response generation.

[0538] As a concrete example, suppose user A inputs, "I like exploring new places, but I feel a little anxious." The server's emotion engine recognizes the emotion of "anxiety," and the artificial intelligence agent generates a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to alleviate your anxiety?" In this way, the conversation progresses while supporting user A's anxiety.

[0539] The following describes the processing flow.

[0540] Step 1:

[0541] The device provides the user with an interface for entering basic profile information (name, age, hobbies, interests, etc.). Once the user enters the information and presses the complete button, the device sends that data to the server.

[0542] Step 2:

[0543] The server analyzes the received user profile information and stores it in a database. The server verifies the integrity of the information, generates a user ID, and returns it to the terminal.

[0544] Step 3:

[0545] The server accesses the database and uses an algorithm to match users with common interests and hobbies. It then creates a list of matching candidates based on the search results.

[0546] Step 4:

[0547] The device displays a list of potential matches to the user, allowing the user to select someone they wish to converse with. Once the user has made their selection, the device sends that information to the server.

[0548] Step 5:

[0549] The server creates a virtual chat room between the selected users. Simultaneously with its creation, an artificial intelligence agent equipped with an emotion engine intervenes in the chat.

[0550] Step 6:

[0551] When a user types a text message in a chat room and presses the send button, the device transmits the message to the server. The server's emotion engine analyzes the message and recognizes the user's emotional state.

[0552] Step 7:

[0553] Based on the emotion data recognized by the server, an artificial intelligence agent generates an appropriate response. The response will take the user's emotions into consideration.

[0554] Step 8:

[0555] The server sends the generated response back to the terminal, which then displays its contents to the user. The user recognizes this and enters the next message.

[0556] Step 9:

[0557] When a user indicates they want to end the conversation, the device sends an end request to the server. The server ends the chat and presents a feedback form on the device.

[0558] Step 10:

[0559] After the user enters feedback, the device sends that data to the server. The server analyzes the feedback and updates the emotion engine and artificial intelligence agent algorithms to improve the accuracy of the response.

[0560] (Example 2)

[0561] 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."

[0562] In modern society, there is a demand for technologies that facilitate communication and reduce the emotional burden on participants. In particular, providing an environment where users can smoothly engage in conversation based on shared interests and hobbies is crucial. Furthermore, accurately recognizing participants' emotions and providing real-time responses based on those emotions is a challenging task for communication support systems. Therefore, this project aims to improve the quality of communication by analyzing user emotions and generating appropriate responses.

[0563] 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.

[0564] In this invention, the server includes means for a user to input registration information using a communication device and for an information processing device to record that registration information; means for searching for someone with common interests or hobbies based on the recorded user information; and means for displaying a list of the searched people and for the user to select a conversation partner from among them. This makes it possible for the user to efficiently start a conversation with someone who matches their interests and to achieve smooth communication in an appropriate chat environment.

[0565] "Communication equipment" refers to devices used by users to input, receive, and transmit information.

[0566] An "information processing device" is an electronic device used to record and analyze user input information.

[0567] "Registration information" refers to personal data such as name, interests, and hobbies that users provide within the system.

[0568] "Shared interests or hobbies" refer to information that is shared among users and serves to attract their mutual interest.

[0569] A "virtual conversation space" is a space that allows users to communicate with each other within a digital environment.

[0570] An "artificial intelligence agent" is an automated program used to analyze messages and generate appropriate responses.

[0571] An "emotion recognition algorithm" is a computational procedure for analyzing emotions from a user's message and generating an appropriate response.

[0572] "Feedback" refers to the opinions and evaluations that users provide regarding the performance of a system.

[0573] To implement this invention, the user must first input registration information using a communication device. The communication device is a device such as a smartphone or personal computer, and includes an interface that allows the user to input profile information. The terminal plays the role of transmitting the input information to the server.

[0574] The server, acting as an information processing device, records received registration information in a database. This database stores data on the user's interests and hobbies. The server uses algorithms to analyze this information and search for other users who share similar interests and hobbies. The algorithms used for analysis compare the recorded characteristics of users and find commonalities.

[0575] Subsequently, the server creates a list of candidates based on the search results and presents it to the user via the terminal. The user selects their desired conversation partner from this list. Upon receiving the selected information, the server generates a virtual conversation space and places an artificial intelligence agent within it. This AI agent is built using a generative AI model and incorporates an emotion recognition algorithm that analyzes the user's messages in real time.

[0576] The AI ​​agent generates appropriate responses based on analyzed emotions and provides them to the user via the device. The generated responses not only facilitate conversation but also reduce the user's emotional burden. For example, if a user inputs, "I like exploring new places, but I feel a little anxious," the AI ​​agent will generate a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to ease your anxiety?"

[0577] Finally, when the conversation ends, the user can enter feedback through their device. This feedback is sent to the server, which uses it to improve the quality of the emotion recognition algorithm.

[0578] An example of a prompt might be: "The user likes exploring new places but says they are a little anxious. Generate an appropriate response to support this feeling."

[0579] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0580] Step 1:

[0581] Users enter profile information using their communication devices. Specifically, users fill in items such as their name, age, hobbies, and interests in a form. The entered information is sent from the device to the server. The server then prepares to store this information in its database.

[0582] Step 2:

[0583] The server records the received registration information in a database. The input data includes user ID, interests, hobbies, etc. The server uses a database management system to organize and efficiently store the data. The output of this process is a clean and accessible dataset for subsequent processing.

[0584] Step 3:

[0585] The server analyzes recorded user information and searches for other users with similar interests or hobbies. The input is the user's saved profile data, and the server uses this to run an algorithm to find compatible users. The output is a list of matching candidates.

[0586] Step 4:

[0587] The server creates a list of searched matching candidates and presents it to the user via the terminal. The user reviews this list and selects someone they wish to converse with. The selection is sent from the terminal to the server and serves as input for the next step.

[0588] Step 5:

[0589] Upon receiving the selected information, the server generates a virtual conversation space. Here, the server sets up a new chat room and deploys an artificial intelligence agent. This AI agent comes pre-loaded with a generative AI model.

[0590] Step 6:

[0591] The AI ​​agent analyzes messages received from the user and identifies the user's emotions using an emotion recognition algorithm. The input is the user's message, which the agent processes in real time. Emotions are analyzed through data processing, and the results are output. Based on this, an appropriate response is generated.

[0592] Step 7:

[0593] The generated response is immediately sent to the terminal and provided to the user. The user can continue communication through this response. The terminal displays the response sent from the AI ​​agent.

[0594] Step 8:

[0595] After the conversation ends, the user enters feedback. The device sends this feedback to the server. The server analyzes the received feedback and uses it to improve the emotion recognition algorithm. This feedback process improves the overall system response performance for the next time.

[0596] (Application Example 2)

[0597] 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."

[0598] In modern society, feelings of loneliness among the elderly are a major social problem. In particular, emotional support is often lacking in nursing homes and home care settings, raising concerns about its negative impact on the psychological health of the elderly. This invention aims to improve this situation and provide an environment where the elderly can communicate with peace of mind. It seeks to appropriately understand the emotions of the elderly and improve their daily comfort.

[0599] 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.

[0600] In this invention, the server includes means for an information processing device to record information on a first user and a second user and select candidates for both based on common interests or hobbies; means for generating a virtual environment based on the selected candidates; means for intervening an artificial intelligence agent within the generated virtual environment to analyze messages received from the first user or the second user and generate an appropriate response; means for analyzing the emotions of the elderly in real time using an emotion engine and providing appropriate feedback; and means for reducing the psychological burden on the elderly by suggesting daily activities. This makes it possible for the elderly to receive appropriate emotional support without feeling lonely.

[0601] An "information processing device" is a device that records user information and performs various processes based on that information.

[0602] "Users" refers to individuals who use this system, and specifically includes elderly people and their caregivers.

[0603] "Interests or hobbies" refers to specific activities or interests that a user is interested in.

[0604] A "candidate" is someone who is presented as a result of selecting users who share common interests or hobbies.

[0605] A "virtual environment" is a digital space created for users to communicate online.

[0606] An "artificial intelligence agent" is software that analyzes messages from users and automatically generates appropriate responses.

[0607] An "emotion engine" is software that analyzes a user's message and recognizes their emotions in real time.

[0608] "Feedback" refers to the evaluations and impressions that users provide after using a system.

[0609] "Response quality" is a criterion for evaluating the appropriateness and naturalness of responses generated by artificial intelligence agents.

[0610] "Daily activities" refer to the actions and habits that users engage in on a daily basis, and are the subject of suggestions aimed at reducing psychological burden.

[0611] To implement this invention, an information processing device is required. This device has the function of recording user information and selecting candidates based on common interests and hobbies. It includes means for generating a virtual environment as a place for communication among the selected users. In this virtual environment, an artificial intelligence agent receives messages from users and analyzes their emotions in real time using an emotion engine. Based on the analysis results, a generative AI model generates an appropriate response and provides it to the user. This process reduces the psychological burden on the user and supports smooth communication.

[0612] The hardware envisioned includes smartphones and robots, while the software will utilize the Python programming language, Google Cloud Natural Language API, and OpenAI API. This software will securely process data in the cloud, ensuring the privacy of the information generated.

[0613] For example, if an elderly user says, "I feel kind of lonely today," the AI ​​agent will recognize that loneliness using its emotion engine and suggest an activity such as, "Why don't you look at a photo album today to cheer yourself up?" In this way, it supports the psychological comfort of elderly people.

[0614] An example of a prompt in a generative AI model is: "When a user makes a comment expressing loneliness, what kind of activity suggestion can help alleviate their feelings?"

[0615] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0616] Step 1:

[0617] Users access the system using their devices and enter their profile information. The entered information is sent to the server as data on their interests and hobbies. The server uses this data to record it in a database and prepare candidate data for matching with other users.

[0618] Step 2:

[0619] The server analyzes recorded user information and searches for other users with common interests or hobbies. Based on the search results, it generates a list of candidates and presents this list to the user via the terminal. This process uses data analysis techniques to extract commonalities between users.

[0620] Step 3:

[0621] When a user selects someone they wish to communicate with, the server creates a virtual environment. This environment is a digital space for secure communication between users. The created virtual environment is designed to enable real-time message exchange.

[0622] Step 4:

[0623] In a virtual environment, when a user enters a message, it is sent to the server. The server analyzes the received message using an emotion engine and recognizes the user's emotions in real time. It extracts emotion data from the message as input data and processes it.

[0624] Step 5:

[0625] The server uses a generative AI model to generate appropriate responses based on the results of sentiment analysis. The generated responses are designed to match the user's emotions and are output accordingly. User sentiment data is used as the generation prompt.

[0626] Step 6:

[0627] The server sends the generated response to the user via the terminal. The user can then continue communication based on this response. This response may include activity suggestions that reduce the user's psychological burden.

[0628] Step 7:

[0629] After the conversation ends, the user provides feedback. This feedback is sent to the server and used to improve the quality of the emotion engine and generative AI models. This process improves the accuracy of future response generation. The feedback is used as data regarding the appropriateness and naturalness of the response.

[0630] 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.

[0631] 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.

[0632] 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.

[0633] [Fourth Embodiment]

[0634] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0635] 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.

[0636] 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).

[0637] 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.

[0638] 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.

[0639] 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).

[0640] 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.

[0641] 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.

[0642] 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.

[0643] 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.

[0644] 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.

[0645] 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.

[0646] 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".

[0647] This system begins with user registration and profile setup, followed by matching with other users who share similar interests and hobbies, and then features communication support via an AI agent. Specifically, it works as follows:

[0648] First, the user accesses the service through their device and enters basic information, hobbies, and interests. The device sends this information to the server, which stores it in a database. Based on the user's information, the server searches for other users with similar interests and hobbies. These search results are then presented to the user as matching candidates.

[0649] When a user selects someone they want to talk to, the device reports the selection to the server, which then generates a virtual chat room via an artificial intelligence agent. Within this virtual chat room, the user can freely send text messages.

[0650] The artificial intelligence agent on the server receives a message from the user, analyzes its content, and automatically generates an appropriate response. The response may include information and advice to facilitate the conversation. The generated response is sent to the terminal and displayed to the user.

[0651] Furthermore, after communication is complete, the device requests feedback from the user about the conversation. The user sends this feedback from the device to the server. Based on the feedback, the server updates the algorithm to optimize the AI ​​agent's response. Through this process, the system is continuously improved, providing a better user experience.

[0652] As a concrete example, suppose user A lists "photography" and "hiking" as their hobbies in their profile. Based on this, the server finds user B, who shares the same hobbies, and presents them as a potential match. When user A selects user B and begins a conversation, the artificial intelligence agent provides questions and topics based on mutual interests, facilitating a natural conversation. After the conversation ends, user A provides feedback on the agent's responses, which helps improve the system.

[0653] The following describes the processing flow.

[0654] Step 1:

[0655] The device displays a screen for the user to enter basic information such as name, age, hobbies, and interests. Once the user enters the information and clicks the submit button, the device sends that information to the server.

[0656] Step 2:

[0657] The server saves the received user information to a database. Once saving is complete, the server generates a user ID and sends it back to the terminal.

[0658] Step 3:

[0659] The server analyzes other user information in the database and uses an algorithm to search for users with common hobbies and interests. The server then creates a list of matching candidates from the results.

[0660] Step 4:

[0661] The device presents the user with a list of candidates, and the user selects the person they wish to talk to. The device then sends the selected person's information to the server.

[0662] Step 5:

[0663] The server creates a virtual chat room between the selected users and uses an artificial intelligence agent to facilitate the process. The server then notifies both users that the chat room is ready.

[0664] Step 6:

[0665] When a user types a message in a chat room, their device sends that message to the server. The server uses an artificial intelligence agent to analyze the message and generate an appropriate response.

[0666] Step 7:

[0667] The server sends the generated response to the terminal, which then displays it to the user. This facilitates conversation between users and promotes natural interaction.

[0668] Step 8:

[0669] If a user wants to end a conversation, they press the end button, and their device sends a request to the server. The server confirms the end of the chat and requests feedback through the device.

[0670] Step 9:

[0671] The user enters feedback into the device, which then sends it to the server. The server analyzes the feedback and updates the AI ​​agent's algorithm to improve the next response.

[0672] (Example 1)

[0673] 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".

[0674] In online communication, facilitating smooth conversations through matching users based on their interests and hobbies is crucial. However, conventional systems have been insufficient in terms of appropriate matching and generating natural conversations, making it difficult to increase user satisfaction. Furthermore, there has been a challenge in that methods for continuously improving the quality of responses generated by artificial intelligence are still limited.

[0675] 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.

[0676] In this invention, the server includes a system means for acquiring and recording user registration information from a terminal, means for selecting candidates based on the recorded information using common interests or hobbies among users, and means for generating a virtual conversation environment based on the selected candidates. This allows users to connect with appropriate conversation partners based on their interests and hobbies, enabling more natural and enriching communication. Furthermore, it is possible to collect feedback from users after the conversation ends and continuously improve the responses of the artificial intelligence agent.

[0677] A "user" is an individual or entity that accesses the system, provides registration information, and communicates with other users.

[0678] A "terminal" is an electronic device used by a user to input information and interact with a system.

[0679] A "server" is a central processing unit that receives, processes, and stores data from users and provides necessary information.

[0680] "Data recording" is the process of saving received user information and making it searchable and available as needed.

[0681] "Shared interests or hobbies" refers to information about overlapping interests or activities among users.

[0682] "Candidate selection" is the process of determining who to propose a connection to, based on recorded information and according to specific criteria.

[0683] A "virtual conversational environment" is a virtual dialogue space created on a computer that allows users to communicate with each other.

[0684] An "artificial intelligence agent" is a program that analyzes received messages and generates responses using natural language processing techniques.

[0685] "Improving response quality" is the process of improving the accuracy and relevance of responses generated by using user feedback and data.

[0686] "Gathering feedback" is the procedure for obtaining feedback from users after a conversation has ended.

[0687] In this invention, the user first accesses the system using a terminal. Here, a terminal refers to an electronic device such as a personal computer or smartphone, which is a device that can send and receive information by communicating with a server.

[0688] Users input their basic information, interests, and hobbies through a terminal and register this information in the system. The terminal sends this information to the server. The server records and stores this information using a database and generates a user identifier. The server is equipped with software commonly used as a database management system (DBMS), enabling efficient data processing.

[0689] The server searches for other users with similar interests and hobbies based on the recorded information and generates a list of candidates. This process utilizes data analysis libraries and programming languages ​​such as Python for information processing. The generated candidate list is sent to the terminal in JSON format and displayed visually to the user.

[0690] When a user selects someone they wish to converse with, that information is sent from their device to the server. Based on this information, the server generates a virtual conversation environment in real time, enabling the exchange of text messages between users. This virtual conversation environment is established by a real-time communication system built using technologies such as Node.js.

[0691] In conversations, artificial intelligence agents play a crucial role. Generative AI models (for example, GPT-based models) deployed on the server receive incoming messages as prompts and automatically generate appropriate responses. Natural language processing (NLP) techniques are used for this response generation, and the responses are sent to the terminal and displayed to the user. A concrete example of a prompt is, "User: I recently started hiking. Do you have any recommendations?" The AI ​​agent could respond, "That's great! What region do you live in? Let's look up some recommended hiking trails around there."

[0692] After the conversation ends, the terminal collects feedback from the user, and the server uses this feedback to improve the response quality of the artificial intelligence agent. Through this process, the system continuously evolves and can provide users with a higher level of satisfaction.

[0693] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0694] Step 1:

[0695] Users log in to the system using their device and enter their profile information. This information includes their name, age, hobbies, interests, etc. The device sends this information to the server using a secure protocol. The server stores the received information in a database to build the user's individual profile.

[0696] Step 2:

[0697] The server analyzes stored user information and uses database queries to search for other users with similar hobbies and interests. It uses a data analysis library to filter the data and create a list of the most relevant candidates. The server outputs this list to the terminal in JSON format. The terminal then uses this information to display the list of candidates to the user.

[0698] Step 3:

[0699] The user selects a person they wish to converse with from the candidates displayed on their device. The device reports this selection information to the server. The server receives the selection information as input and generates a virtual conversation environment using Node.js's real-time communication capabilities. The generated information is output, and a participation link is provided to the device.

[0700] Step 4:

[0701] The user joins a virtual conversation environment using their device and begins exchanging messages with the other party. An artificial intelligence agent on the server receives the user's messages during this time. These received messages are used as prompts for a generative AI model. The AI ​​agent uses natural language processing techniques to generate and output an appropriate response, which is then sent to the device. The user receives this response and continues the conversation.

[0702] Step 5:

[0703] After the conversation ends, the terminal provides the user with an interface to request feedback. The user enters feedback, which the terminal sends to the server. The server analyzes the feedback and uses it as data to improve the response generation algorithm of the artificial intelligence agent. This process improves the quality of the system's output and will enable a better user experience in the future.

[0704] (Application Example 1)

[0705] 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".

[0706] In today's world, where social interaction tends to decrease, there is a need for people to foster natural conversations based on shared interests and hobbies, and to build new relationships. Furthermore, there is a need for technology that enables advanced communication in daily life through the use of home appliances and robots. Currently, there is a lack of mechanisms to efficiently provide and share information tailored to individual users, so new systems are needed to address these challenges.

[0707] 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.

[0708] In this invention, the server includes means for recording information on a first user and a second user and selecting candidates for both based on common interests or hobbies; means for generating a virtual dialogue based on the selected candidates; means for introducing an artificial intelligence program within the generated virtual dialogue that analyzes messages received from the first user or the second user and generates an appropriate response; and means for connecting with family members or neighbors to facilitate information sharing. This enables natural and enriching conversations and relationship building between users.

[0709] An "information processing device" is a device that has the functions of inputting, storing, processing, generating, and outputting data.

[0710] A "user" refers to an individual or group that uses the system to receive services.

[0711] "Commonality" refers to attributes or characteristics shared by multiple elements.

[0712] A "candidate" is one of the options that should be chosen from among several choices.

[0713] A "virtual dialogue" is a conversation that does not actually exist but is recreated in a digital space.

[0714] An "artificial intelligence program" is software designed to perform specific tasks and possess functions similar to human intelligence.

[0715] "Connection" refers to the act of establishing a communication path between different devices or systems.

[0716] "Information sharing" is the activity of sharing information you possess with others.

[0717] The system for realizing this application is built on an information processing device and an artificial intelligence program. The server handles data communication over a network, records user information in a dedicated database, and selects candidates with related interests and hobbies. This enables virtual dialogue between users. The generation of virtual dialogue incorporates an artificial intelligence program utilizing natural language processing technology, which analyzes received messages and generates appropriate responses.

[0718] The hardware used will consist of home computing devices and networked consumer electronics. The software will include a database management system and natural language processing libraries. Specifically, MySQL will be used for the database, and the Google Cloud Natural Language API will be applied for natural language processing. An artificial intelligence program will process the user's profile data, and the generated responses will be sent to the end user's device.

[0719] One concrete example of how this system could be used is for a home assistant device to provide information such as, "There's a photography event happening at a nearby park this weekend," based on a user's registered hobby of "photography." An example prompt for this would be: "A robot will suggest recommended photography locations for a user whose hobby is photography, through conversations with nearby residents. Please create a response for the chatbot when the user asks, 'Where are the best places to take photos in the neighborhood?'"

[0720] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0721] Step 1:

[0722] The server receives basic information, hobbies, and interests from the user's terminal as input. This information is recorded in a database. This data is then used to integrate user-related information and for subsequent matching processes.

[0723] Step 2:

[0724] The server searches for other users with similar interests and hobbies based on the information in the recorded database. It receives information about other users in the database as input and generates a list of matching candidates as output. This process involves using database queries to identify profiles with commonalities.

[0725] Step 3:

[0726] The user receives matching candidates presented by the server and selects the user they wish to interact with. This selection is reported from the terminal to the server, and the selected candidate ID is provided as input.

[0727] Step 4:

[0728] The server generates a virtual dialogue based on the selected user information. In this process, an artificial intelligence program is used to create a virtual dialogue room and generates dialogue room information as output.

[0729] Step 5:

[0730] The user enters a message within the virtual dialogue room. The terminal sends this message to the server and receives it as text data.

[0731] Step 6:

[0732] The server analyzes received messages using an artificial intelligence program and generates an appropriate response. Internally, it utilizes natural language processing, and a generative AI model understands the content of the message and generates the output response.

[0733] Step 7:

[0734] The generated response is sent to the user's terminal via the server and displayed to the user.

[0735] Step 8:

[0736] After the virtual dialogue ends, the server receives feedback from the user's terminal. This feedback becomes input data for generating the next response and helps improve the algorithm of the artificial intelligence program.

[0737] 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.

[0738] This invention relates to a system equipped with an artificial intelligence agent incorporating an emotion engine to support communication between users. This system features user registration, profile setup, matching, and emotion-based communication support via the AI ​​agent. Specifically, it is implemented as follows:

[0739] Users access the service through their device and enter the required profile information. The device sends this information to the server, which stores it in a database. The server analyzes the user's interests and hobbies and searches for other users with similar interests. A list of matching candidates is then presented to the user via their device.

[0740] When a user selects someone they wish to converse with, the server creates a virtual chat room and connects the user to an artificial intelligence agent. This agent incorporates an emotion engine that analyzes the user's messages in real time. The emotion engine recognizes the user's emotions from the message content and generates a response based on this. This ensures natural and appropriate responses that match the user's emotions.

[0741] The user receives the generated response via the device and can continue the conversation. The responses provided by the service not only help to facilitate the conversation but also reduce the user's psychological burden.

[0742] When a conversation ends, the user provides feedback through their device. This feedback is sent to the server, and the emotion engine uses it to update its emotion recognition algorithm, helping to improve the accuracy of future response generation.

[0743] As a concrete example, suppose user A inputs, "I like exploring new places, but I feel a little anxious." The server's emotion engine recognizes the emotion of "anxiety," and the artificial intelligence agent generates a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to alleviate your anxiety?" In this way, the conversation progresses while supporting user A's anxiety.

[0744] The following describes the processing flow.

[0745] Step 1:

[0746] The device provides the user with an interface for entering basic profile information (name, age, hobbies, interests, etc.). Once the user enters the information and presses the complete button, the device sends that data to the server.

[0747] Step 2:

[0748] The server analyzes the received user profile information and stores it in a database. The server verifies the integrity of the information, generates a user ID, and returns it to the terminal.

[0749] Step 3:

[0750] The server accesses the database and uses an algorithm to match users with common interests and hobbies. It then creates a list of matching candidates based on the search results.

[0751] Step 4:

[0752] The device displays a list of potential matches to the user, allowing the user to select someone they wish to converse with. Once the user has made their selection, the device sends that information to the server.

[0753] Step 5:

[0754] The server creates a virtual chat room between the selected users. Simultaneously with its creation, an artificial intelligence agent equipped with an emotion engine intervenes in the chat.

[0755] Step 6:

[0756] When a user types a text message in a chat room and presses the send button, the device transmits the message to the server. The server's emotion engine analyzes the message and recognizes the user's emotional state.

[0757] Step 7:

[0758] Based on the emotion data recognized by the server, an artificial intelligence agent generates an appropriate response. The response will take the user's emotions into consideration.

[0759] Step 8:

[0760] The server sends the generated response back to the terminal, which then displays its contents to the user. The user recognizes this and enters the next message.

[0761] Step 9:

[0762] When a user indicates they want to end the conversation, the device sends an end request to the server. The server ends the chat and presents a feedback form on the device.

[0763] Step 10:

[0764] After the user enters feedback, the device sends that data to the server. The server analyzes the feedback and updates the emotion engine and artificial intelligence agent algorithms to improve the accuracy of the response.

[0765] (Example 2)

[0766] 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".

[0767] In modern society, there is a demand for technologies that facilitate communication and reduce the emotional burden on participants. In particular, providing an environment where users can smoothly engage in conversation based on shared interests and hobbies is crucial. Furthermore, accurately recognizing participants' emotions and providing real-time responses based on those emotions is a challenging task for communication support systems. Therefore, this project aims to improve the quality of communication by analyzing user emotions and generating appropriate responses.

[0768] 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.

[0769] In this invention, the server includes means for a user to input registration information using a communication device and for an information processing device to record that registration information; means for searching for someone with common interests or hobbies based on the recorded user information; and means for displaying a list of the searched people and for the user to select a conversation partner from among them. This makes it possible for the user to efficiently start a conversation with someone who matches their interests and to achieve smooth communication in an appropriate chat environment.

[0770] "Communication equipment" refers to devices used by users to input, receive, and transmit information.

[0771] An "information processing device" is an electronic device used to record and analyze user input information.

[0772] "Registration information" refers to personal data such as name, interests, and hobbies that users provide within the system.

[0773] "Shared interests or hobbies" refer to information that is shared among users and serves to attract their mutual interest.

[0774] A "virtual conversation space" is a space that allows users to communicate with each other within a digital environment.

[0775] An "artificial intelligence agent" is an automated program used to analyze messages and generate appropriate responses.

[0776] An "emotion recognition algorithm" is a computational procedure for analyzing emotions from a user's message and generating an appropriate response.

[0777] "Feedback" refers to the opinions and evaluations that users provide regarding the performance of a system.

[0778] To implement this invention, the user must first input registration information using a communication device. The communication device is a device such as a smartphone or personal computer, and includes an interface that allows the user to input profile information. The terminal plays the role of transmitting the input information to the server.

[0779] The server, acting as an information processing device, records received registration information in a database. This database stores data on the user's interests and hobbies. The server uses algorithms to analyze this information and search for other users who share similar interests and hobbies. The algorithms used for analysis compare the recorded characteristics of users and find commonalities.

[0780] Subsequently, the server creates a list of candidates based on the search results and presents it to the user via the terminal. The user selects their desired conversation partner from this list. Upon receiving the selected information, the server generates a virtual conversation space and places an artificial intelligence agent within it. This AI agent is built using a generative AI model and incorporates an emotion recognition algorithm that analyzes the user's messages in real time.

[0781] The AI ​​agent generates appropriate responses based on analyzed emotions and provides them to the user via the device. The generated responses not only facilitate conversation but also reduce the user's emotional burden. For example, if a user inputs, "I like exploring new places, but I feel a little anxious," the AI ​​agent will generate a response such as, "Exploring new places is a fun adventure. If you'd like, why not share your past experiences to find ways to ease your anxiety?"

[0782] Finally, when the conversation ends, the user can enter feedback through their device. This feedback is sent to the server, which uses it to improve the quality of the emotion recognition algorithm.

[0783] An example of a prompt might be: "The user likes exploring new places but says they are a little anxious. Generate an appropriate response to support this feeling."

[0784] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0785] Step 1:

[0786] Users enter profile information using their communication devices. Specifically, users fill in items such as their name, age, hobbies, and interests in a form. The entered information is sent from the device to the server. The server then prepares to store this information in its database.

[0787] Step 2:

[0788] The server records the received registration information in a database. The input data includes user ID, interests, hobbies, etc. The server uses a database management system to organize and efficiently store the data. The output of this process is a clean and accessible dataset for subsequent processing.

[0789] Step 3:

[0790] The server analyzes recorded user information and searches for other users with similar interests or hobbies. The input is the user's saved profile data, and the server uses this to run an algorithm to find compatible users. The output is a list of matching candidates.

[0791] Step 4:

[0792] The server creates a list of searched matching candidates and presents it to the user via the terminal. The user reviews this list and selects someone they wish to converse with. The selection is sent from the terminal to the server and serves as input for the next step.

[0793] Step 5:

[0794] Upon receiving the selected information, the server generates a virtual conversation space. Here, the server sets up a new chat room and deploys an artificial intelligence agent. This AI agent comes pre-loaded with a generative AI model.

[0795] Step 6:

[0796] The AI ​​agent analyzes messages received from the user and identifies the user's emotions using an emotion recognition algorithm. The input is the user's message, which the agent processes in real time. Emotions are analyzed through data processing, and the results are output. Based on this, an appropriate response is generated.

[0797] Step 7:

[0798] The generated response is immediately sent to the terminal and provided to the user. The user can continue communication through this response. The terminal displays the response sent from the AI ​​agent.

[0799] Step 8:

[0800] After the conversation ends, the user enters feedback. The device sends this feedback to the server. The server analyzes the received feedback and uses it to improve the emotion recognition algorithm. This feedback process improves the overall system response performance for the next time.

[0801] (Application Example 2)

[0802] 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".

[0803] In modern society, feelings of loneliness among the elderly are a major social problem. In particular, emotional support is often lacking in nursing homes and home care settings, raising concerns about its negative impact on the psychological health of the elderly. This invention aims to improve this situation and provide an environment where the elderly can communicate with peace of mind. It seeks to appropriately understand the emotions of the elderly and improve their daily comfort.

[0804] 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.

[0805] In this invention, the server includes means for an information processing device to record information on a first user and a second user and select candidates for both based on common interests or hobbies; means for generating a virtual environment based on the selected candidates; means for intervening an artificial intelligence agent within the generated virtual environment to analyze messages received from the first user or the second user and generate an appropriate response; means for analyzing the emotions of the elderly in real time using an emotion engine and providing appropriate feedback; and means for reducing the psychological burden on the elderly by suggesting daily activities. This makes it possible for the elderly to receive appropriate emotional support without feeling lonely.

[0806] An "information processing device" is a device that records user information and performs various processes based on that information.

[0807] "Users" refers to individuals who use this system, and specifically includes elderly people and their caregivers.

[0808] "Interests or hobbies" refers to specific activities or interests that a user is interested in.

[0809] A "candidate" is someone who is presented as a result of selecting users who share common interests or hobbies.

[0810] A "virtual environment" is a digital space created for users to communicate online.

[0811] An "artificial intelligence agent" is software that analyzes messages from users and automatically generates appropriate responses.

[0812] An "emotion engine" is software that analyzes a user's message and recognizes their emotions in real time.

[0813] "Feedback" refers to the evaluations and impressions that users provide after using a system.

[0814] "Response quality" is a criterion for evaluating the appropriateness and naturalness of responses generated by artificial intelligence agents.

[0815] "Daily activities" refer to the actions and habits that users engage in on a daily basis, and are the subject of suggestions aimed at reducing psychological burden.

[0816] To implement this invention, an information processing device is required. This device has the function of recording user information and selecting candidates based on common interests and hobbies. It includes means for generating a virtual environment as a place for communication among the selected users. In this virtual environment, an artificial intelligence agent receives messages from users and analyzes their emotions in real time using an emotion engine. Based on the analysis results, a generative AI model generates an appropriate response and provides it to the user. This process reduces the psychological burden on the user and supports smooth communication.

[0817] The hardware envisioned includes smartphones and robots, while the software will utilize the Python programming language, Google Cloud Natural Language API, and OpenAI API. This software will securely process data in the cloud, ensuring the privacy of the information generated.

[0818] For example, if an elderly user says, "I feel kind of lonely today," the AI ​​agent will recognize that loneliness using its emotion engine and suggest an activity such as, "Why don't you look at a photo album today to cheer yourself up?" In this way, it supports the psychological comfort of elderly people.

[0819] An example of a prompt in a generative AI model is: "When a user makes a comment expressing loneliness, what kind of activity suggestion can help alleviate their feelings?"

[0820] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0821] Step 1:

[0822] Users access the system using their devices and enter their profile information. The entered information is sent to the server as data on their interests and hobbies. The server uses this data to record it in a database and prepare candidate data for matching with other users.

[0823] Step 2:

[0824] The server analyzes recorded user information and searches for other users with common interests or hobbies. Based on the search results, it generates a list of candidates and presents this list to the user via the terminal. This process uses data analysis techniques to extract commonalities between users.

[0825] Step 3:

[0826] When a user selects someone they wish to communicate with, the server creates a virtual environment. This environment is a digital space for secure communication between users. The created virtual environment is designed to enable real-time message exchange.

[0827] Step 4:

[0828] In a virtual environment, when a user enters a message, it is sent to the server. The server analyzes the received message using an emotion engine and recognizes the user's emotions in real time. It extracts emotion data from the message as input data and processes it.

[0829] Step 5:

[0830] The server uses a generative AI model to generate appropriate responses based on the results of sentiment analysis. The generated responses are designed to match the user's emotions and are output accordingly. User sentiment data is used as the generation prompt.

[0831] Step 6:

[0832] The server sends the generated response to the user via the terminal. The user can then continue communication based on this response. This response may include activity suggestions that reduce the user's psychological burden.

[0833] Step 7:

[0834] After the conversation ends, the user provides feedback. This feedback is sent to the server and used to improve the quality of the emotion engine and generative AI models. This process improves the accuracy of future response generation. The feedback is used as data regarding the appropriateness and naturalness of the response.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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."

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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.

[0856] The following is further disclosed regarding the embodiments described above.

[0857] (Claim 1)

[0858] The information processing device records information about a first user and a second user, and provides means for selecting candidates for both users based on common interests or hobbies.

[0859] A means for generating a virtual chat based on selected candidates,

[0860] A means of involving an artificial intelligence agent that analyzes messages received from the first or second user within the generated virtual chat and generates an appropriate response,

[0861] Means for sending a response to the first or second user,

[0862] A means to receive feedback after implementation and improve the response quality of the artificial intelligence agent,

[0863] A system that includes this.

[0864] (Claim 2)

[0865] The system according to claim 1, comprising means for managing data on the interests or hobbies of a first or second user and for an artificial intelligence agent to customize responses based on individual needs.

[0866] (Claim 3)

[0867] The system according to claim 1, further comprising means for analyzing feedback from a first or second user after the virtual chat has ended, and updating an algorithm that optimizes the response generated based on the results of the analysis.

[0868] "Example 1"

[0869] (Claim 1)

[0870] A system means for obtaining and recording user registration information from a terminal,

[0871] A means of selecting candidates based on recorded information using common interests or hobbies among users,

[0872] A means for generating a virtual conversation environment based on selected candidates,

[0873] A means of using an artificial intelligence agent that analyzes messages received from the user in a generated conversational environment and provides the generated response to the user,

[0874] A means of sending a response to the user's terminal,

[0875] A system that includes a process for collecting user feedback after a conversation ends and using that feedback to improve the AI ​​agent's responses.

[0876] (Claim 2)

[0877] The system according to claim 1, wherein the artificial intelligence agent has means for providing messages tailored to the user's individual needs according to their interests or hobbies.

[0878] (Claim 3)

[0879] The system according to claim 1, further comprising means for updating the process of analyzing user feedback after a conversation has ended and optimizing the response of an artificial intelligence agent based on the results of that analysis.

[0880] "Application Example 1"

[0881] (Claim 1)

[0882] The information processing device records information about the first and second users and provides a means for selecting candidates for both based on common interests or hobbies.

[0883] A means for generating a virtual dialogue based on selected candidates,

[0884] A means of introducing an artificial intelligence program into the generated virtual dialogue that analyzes messages received from the first or second user and generates an appropriate response,

[0885] Means for sending a response to the first or second user,

[0886] After implementation, evaluations are received, and a means is provided to improve the response quality of the artificial intelligence program.

[0887] A means of connecting with family or neighbors based on registered interests and hobbies, and facilitating information sharing.

[0888] A system that includes this.

[0889] (Claim 2)

[0890] The system according to claim 1, comprising means for managing data on the interests or hobbies of a first or second user and for customizing responses based on individual needs using an artificial intelligence program.

[0891] (Claim 3)

[0892] The system according to claim 1, further comprising means for analyzing evaluations from a first or second user after the termination of a virtual dialogue and updating an algorithm that optimizes the response generated based on the results of the analysis.

[0893] "Example 2 of combining an emotion engine"

[0894] (Claim 1)

[0895] A means by which a user inputs registration information using a communication device, and an information processing device records that registration information,

[0896] A means of searching for people with common interests or hobbies based on recorded user information,

[0897] A method for displaying a list of searched partners and allowing the user to select a conversation partner from among them,

[0898] A means for generating a virtual conversation space based on selected information,

[0899] A means of introducing an artificial intelligence agent into the generated conversation space, analyzing user messages in real time, recognizing emotions, and generating responses,

[0900] A means of transmitting the generated response to a communication device and providing it to the user,

[0901] A means of obtaining feedback from the user after the conversation ends and updating the information processing method of the artificial intelligence agent based on that feedback,

[0902] A system that includes this.

[0903] (Claim 2)

[0904] The system according to claim 1, comprising means for matching based on common interests or hobbies, selecting relevant conversation topics, and providing responses tailored to individual emotions using an artificial intelligence agent.

[0905] (Claim 3)

[0906] The system according to claim 1, comprising means for improving the emotion recognition algorithm used by the artificial intelligence agent based on feedback and for improving the accuracy of response generation.

[0907] "Application example 2 when combining with an emotional engine"

[0908] (Claim 1)

[0909] The information processing device records information about the first and second users and provides a means for selecting candidates for both based on common interests or hobbies.

[0910] A means for generating a virtual environment based on selected candidates,

[0911] A means of involving an artificial intelligence agent that analyzes messages received from a first or second user within the generated virtual environment and generates an appropriate response,

[0912] Means for sending a response to the first or second user,

[0913] A means of analyzing the emotions of elderly people in real time using an emotion engine and providing appropriate feedback,

[0914] A means of reducing the psychological burden on the elderly by suggesting daily activities,

[0915] After implementation, evaluations are received, and a means is developed to improve the response quality of the artificial intelligence agent.

[0916] A system that includes this.

[0917] (Claim 2)

[0918] The system according to claim 1, comprising means for managing data on the interests or preferences of a first or second user and constructing responses based on individual requests by an artificial intelligence agent.

[0919] (Claim 3)

[0920] The system according to claim 1, further comprising means for analyzing evaluations from a first or second user after the termination of the virtual environment and updating an algorithm that optimizes the response generated based on the results of the analysis. [Explanation of symbols]

[0921] 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. The information processing device records information about the first and second users and provides a means for selecting candidates for both based on common interests or hobbies. A means for generating a virtual dialogue based on selected candidates, A means of introducing an artificial intelligence program into the generated virtual dialogue that analyzes messages received from the first or second user and generates an appropriate response, Means for sending a response to the first or second user, After implementation, evaluations are received, and a means is provided to improve the response quality of the artificial intelligence program. A means of connecting with family or neighbors based on registered interests and hobbies, and facilitating information sharing. A system that includes this.

2. The system according to claim 1, comprising means for managing data on the interests or hobbies of a first or second user and for customizing responses based on individual needs using an artificial intelligence program.

3. The system according to claim 1, further comprising means for analyzing evaluations from the first or second user after the termination of a virtual dialogue, and updating an algorithm that optimizes the response generated based on the results of the analysis.

Images