system

Abstract

We provide the system. [Solution] A means by which an artificial intelligence dedicated to each individual user learns each user's hobbies, preferences, and personality, A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users, A means of providing information on other users who are deemed to be compatible based on the analysis results, A system that includes this.

Description

Technical Field

[0005]

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance 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] In modern society, the declining birthrate has become a serious problem. In particular, the opportunities for men and women to meet are few, and the situation where it is difficult to find a suitable partner continues. Current measures to address the declining birthrate mainly focus on support after a child is born, and the decline in the birthrate cannot be fundamentally improved. To solve this problem, it is necessary to provide a place where men and women can meet effectively and efficiently, and increase the opportunities to meet compatible partners.

Means for Solving the Problems

[0005] To solve the above problems, the present invention provides the following means. Specifically, it proposes a system that includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze personality information with artificial intelligences dedicated to other users; and means for providing information on other users that are judged to be compatible based on the analysis results.

[0006] Furthermore, the present invention includes means for periodically collecting individual user activity data and transmitting that data to a server, and means for updating the learning data of a dedicated artificial intelligence based on the collected data. The invention also includes means for the dedicated artificial intelligence to measure its compatibility with other artificial intelligences using a compatibility determination algorithm and report the results, and means for notifying the target user of the other user who is most compatible with it based on the measurement results, thereby realizing a system that proposes an appropriate partner to the user.

[0007] This will allow users to efficiently find compatible partners while going about their daily lives, and is therefore expected to contribute to a fundamental solution to the declining birthrate problem.

[0008] A "dedicated artificial intelligence" is an AI that is assigned to a specific user and learns their hobbies, preferences, and personality to provide support.

[0009] "Hobbies and preferences" refer to the activities and areas of interest that users enjoy engaging in on a daily basis.

[0010] "Personality" refers to an internal attribute that describes the characteristics of a user's behavior and thinking.

[0011] "Means of learning" refers to the function by which artificial intelligence analyzes data and behavioral history provided by the user to understand and update the user's hobbies, preferences, and personality.

[0012] "Means of interaction" refers to a function that allows dedicated artificial intelligences to exchange information, communicate, and evaluate their compatibility with each other.

[0013] The "means of comparison" refers to a function in which a dedicated artificial intelligence compares information obtained from other artificial intelligences with its own user information, and analyzes similarities and differences.

[0014] "Analysis results" are analytical conclusions generated based on data obtained through comparison and exchange.

[0015] "Compatibility" is an indicator that shows how well the attributes, hobbies, and preferences of two users match and harmonize.

[0016] "Means of providing" refers to a function that transmits information about other users to the target user based on the analysis results.

[0017] "Activity data" refers to records of activities that users engage in on a daily basis (e.g., reading, traveling, listening to music, etc.).

[0018] "Means of updating" refers to the function of modifying and adding to artificial intelligence models and databases based on collected data.

[0019] A "compatibility assessment algorithm" is a computational method used by artificial intelligence to quantify and evaluate the compatibility between users.

[0020] The "means of measurement" refer to a function that calculates the compatibility between users based on an algorithm and obtains the result.

[0021] "Notification methods" refer to features that inform target users about compatible users. [Brief explanation of the drawing]

[0022] [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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0023] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0024] First, the language used in the following description will be explained.

[0025] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0026] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0027] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0028] 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).

[0029] 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."

[0030] [First Embodiment]

[0031] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0032] 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.

[0033] 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).

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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".

[0043] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. This system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[0044] System Configuration

[0045] server

[0046] It has a database that manages user profiles.

[0047] We provide a platform for generating and learning proprietary artificial intelligence and executing compatibility determination algorithms.

[0048] It has a function to manage interactions between dedicated AIs and find compatible partners.

[0049] terminal

[0050] It has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to the server.

[0051] Display the reports sent from the server so that users can review them.

[0052] user

[0053] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[0054] Users input data about their hobbies, preferences, and personality, and then provide activity data.

[0055] Program processing

[0056] 1. User Registration

[0057] user:

[0058] Download and launch the terminal application.

[0059] Upon first launch, you will be asked to enter information about your name, age, gender, and hobbies / interests.

[0060] Terminal:

[0061] The system receives information entered by the user and sends it to the server as data in JSON format.

[0062] server:

[0063] The system stores the received user information in a database and generates a dedicated artificial intelligence.

[0064] Specific example: If a user enters "Taro Yamada, 28 years old, male, likes reading, likes traveling," that information is sent to the server, and a dedicated artificial intelligence is generated.

[0065] 2. Dedicated AI learning

[0066] Terminal:

[0067] The system collects data on users' daily activities (such as reading records, travel diaries, and music playback history).

[0068] This data is sent to the server periodically.

[0069] server:

[0070] The collected data is received and stored in the database.

[0071] The dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the data it receives.

[0072] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from their trip to Spain" is sent from the device to the server.

[0073] 3. Interaction between dedicated AIs

[0074] server:

[0075] It provides a virtual space where dedicated artificial intelligences can interact with each other on a regular basis.

[0076] The dedicated artificial intelligence exchanges information with other AIs and evaluates their compatibility.

[0077] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI" and analyzes commonalities in hobbies and preferences.

[0078] 4. Compatibility assessment and report creation

[0079] server:

[0080] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[0081] When a compatible partner is found, a report is generated and sent to the device.

[0082] Terminal:

[0083] The system displays received reports to users and provides information about compatible partners.

[0084] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," generates a report stating "It seems you and Sato Hanako have similar hobbies," and notifies Yamada Taro.

[0085] This allows users to efficiently meet compatible partners while going about their daily lives, contributing to a fundamental solution to the declining birthrate problem.

[0086] The following describes the processing flow.

[0087] Step 1:

[0088] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[0089] Step 2:

[0090] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[0091] Step 3:

[0092] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[0093] Step 4:

[0094] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It then generates a dedicated artificial intelligence and sets the user information as its initial profile.

[0095] Step 5:

[0096] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.). The device sends this data to the server at regular intervals.

[0097] Step 6:

[0098] The server stores the received activity data in a database, and a dedicated artificial intelligence (AI) uses this data to learn the user's hobbies, preferences, and personality. The server updates the AI's profile using machine learning algorithms.

[0099] Step 7:

[0100] The server manages the interactions between the dedicated artificial intelligences. It provides a virtual space where the dedicated AIs can interact on a regular basis and conduct one-on-one interaction sessions.

[0101] Step 8:

[0102] The dedicated AI exchanges information with other AIs, analyzing their common interests and differences. The server executes a compatibility assessment algorithm and calculates a compatibility score between each AI.

[0103] Step 9:

[0104] The server finds the most compatible partner based on compatibility scores. It generates a report of the results and sends that report to each user's device.

[0105] Step 10:

[0106] The device notifies the user of the received report. The user can then review the report within the app and view the profile information of compatible partners.

[0107] Step 11:

[0108] The user selects an action such as "like" or "send a message." The device receives the user's action and sends that information to the server.

[0109] Step 12:

[0110] The server records user action information in a database, and when a match is made with a specific person, it unlocks communication functions such as messaging.

[0111] (Example 1)

[0112] 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."

[0113] In modern society, the declining birthrate is a serious social problem. In particular, the current situation makes it difficult to find a compatible partner efficiently due to limited opportunities for meeting people. To solve this problem, a system is needed that deeply understands users' hobbies, preferences, and personalities, and effectively finds compatible partners.

[0114] 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.

[0115] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze individual information with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to efficiently find compatible partners based on the user's hobbies, preferences, and personality.

[0116] A "user" refers to an individual person who uses the system.

[0117] A "personalized artificial intelligence" refers to an artificial intelligence that is individually assigned to a user, learns the user's hobbies, preferences, and personality, and provides various forms of support for that user.

[0118] "Hobbies and preferences" refer to the activities that users enjoy doing on a daily basis and the things they are interested in.

[0119] "Personality" refers to stable characteristics and attributes related to a user's behavior and way of thinking.

[0120] "Virtual space" refers to a digital environment where dedicated artificial intelligences exchange information and interact with each other.

[0121] A "compatibility assessment algorithm" refers to a calculation method or process used to evaluate compatibility between multiple artificial intelligences based on user information.

[0122] A "report" refers to a report generated as a result of a compatibility assessment algorithm, which contains information about compatible partners.

[0123] "Terminal" refers to electronic devices such as smartphones and personal computers used by users.

[0124] A "server" refers to a centralized computing system that manages data and generates and trains its own dedicated artificial intelligence.

[0125] "Personalized information" refers to specific data about the user (e.g., hobbies, preferences, personality, behavioral history, etc.).

[0126] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[0127] System Configuration

[0128] server

[0129] The server has a database that manages user profiles. It provides a platform for generating and training dedicated artificial intelligence and executing compatibility determination algorithms. It also has a function to manage interactions between dedicated artificial intelligences and find compatible partners.

[0130] terminal

[0131] The device has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to a server. It also displays reports sent from the server for the user to review.

[0132] user

[0133] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers. Users input data about their hobbies, preferences, and personality, and provide activity data.

[0134] Examples of specific cases and prompt statements

[0135] For example, if a user enters "Taro Yamada, 28 years old, male, loves reading and traveling," this information is sent to the server, and a dedicated artificial intelligence is generated. Furthermore, when data such as "reading Harry Potter" or "posted photos from a trip to Spain" is sent from the device to the server, the dedicated AI learns from this information. Then, "Taro Yamada's AI" determines that it is compatible with "Hanako Sato's AI," and a report stating "You seem to have similar hobbies to Hanako Sato" is generated and notified to Taro Yamada's device, allowing the user to efficiently find compatible partners.

[0136] Examples of prompts to input into a generative AI model

[0137] Examples of prompt messages are as follows:

[0138] "Based on the following information, please create a description of the user's personalized AI. Include specific examples from the user's past behavioral data, such as name, age, gender, hobbies, and preferences, and describe in detail the process by which the user efficiently finds compatible partners through this system."

[0139] As described above, in order to implement this invention, it is important to establish a process that links a server, a terminal, and a dedicated artificial intelligence to find a compatible partner based on user data.

[0140] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0141] Step 1:

[0142] User Registration

[0143] user:

[0144] Download and launch the application.

[0145] Upon first launch, you will be asked to enter information such as your name, age, gender, hobbies, and interests.

[0146] Terminal:

[0147] The system receives the input information and sends it to the server as JSON data.

[0148] server:

[0149] Receive data in JSON format and save it to the user database.

[0150] Based on the received data, it generates an artificial intelligence system that is dedicated to the user.

[0151] Inputs and outputs:

[0152] Input: User's personal information (e.g., name, age, gender, hobbies, interests, etc.)

[0153] Output: A database containing user information, and a dedicated artificial intelligence.

[0154] Specific actions:

[0155] When a user enters information such as "Taro Yamada, 28 years old, male, loves reading, loves traveling," the device converts it into JSON format and sends it to the server. The server receives this information, stores it in a database, and generates a dedicated artificial intelligence.

[0156] Step 2:

[0157] Collection and transmission of daily activity data

[0158] Terminal:

[0159] The system continuously collects data on users' daily activities (e.g., reading history, travel history, music playback history, etc.).

[0160] These data are sent to the server at regular intervals.

[0161] server:

[0162] The system receives the submitted behavioral data and saves it to the user database.

[0163] A dedicated artificial intelligence uses this data to further learn the user's hobbies, preferences, and personality.

[0164] Inputs and outputs:

[0165] Input: User's daily activity data (e.g., recently read books, places visited, music played history)

[0166] Output: Updated training data for the dedicated artificial intelligence.

[0167] Specific actions:

[0168] When a user performs actions such as "finishing reading Harry Potter" or "uploading photos from a trip to Spain," the device collects this behavioral data and sends it to a server. The server updates its database, and a dedicated artificial intelligence learns from the new data.

[0169] Step 3:

[0170] Interaction between dedicated AIs

[0171] server:

[0172] It provides a virtual space where dedicated artificial intelligences can interact with each other at regular intervals.

[0173] Through interaction, it exchanges information with other artificial intelligences and analyzes common hobbies and preferences.

[0174] Inputs and outputs:

[0175] Input: Information exchanged between dedicated AI systems (e.g., user's hobbies and preferences, behavioral history, etc.)

[0176] Output: Compatibility evaluation data with other users

[0177] Specific actions:

[0178] "Yamada Taro's AI" interacts with "Sato Hanako's AI" in a virtual space, exchanging information about their hobbies and preferences to analyze their compatibility.

[0179] Step 4:

[0180] Compatibility assessment and report creation

[0181] server:

[0182] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[0183] If compatibility is determined, a detailed report will be generated and sent to the device.

[0184] Terminal:

[0185] The system displays received reports to users and provides information about compatible partners.

[0186] Inputs and outputs:

[0187] Input: Evaluation results from the compatibility determination algorithm

[0188] Output: A report containing information about compatible partners.

[0189] Specific actions:

[0190] If the AI ​​for Taro Yamada determines that it is very compatible with the AI ​​for Hanako Sato, the server generates a report stating, "It seems you and Hanako Sato have similar hobbies," and notifies Taro Yamada's terminal.

[0191] This allows users to efficiently find compatible partners.

[0192] (Application Example 1)

[0193] 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."

[0194] One contributing factor to the declining birthrate is the decrease in opportunities for young people to meet each other. Traditional matchmaking systems often fail to adequately consider users' hobbies, preferences, and personalities, and even at events, it's difficult to find a compatible partner. As a result, successful encounters are less likely, and this issue has not led to a fundamental solution to the declining birthrate.

[0195] 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.

[0196] In this invention, the server is

[0197] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[0198] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[0199] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[0200] A means of generating compatibility reports for events in which users participate,

[0201] This includes increasing the opportunities for users to meet compatible partners at in-store events, enabling more efficient matchmaking.

[0202] A "user" is an individual who utilizes this system and possesses their own dedicated artificial intelligence.

[0203] A "dedicated artificial intelligence" is an artificial intelligence that is dedicated to an individual user and learns that user's hobbies, preferences, and personality.

[0204] "Hobbies, preferences, and personality" refers to the user's interests, preferences, and personality traits, which are the subjects of learning for the dedicated artificial intelligence.

[0205] "Interaction" refers to the exchange of information between dedicated artificial intelligences in a virtual space, followed by comparison and analysis.

[0206] "Personality information" refers to information based on the user's hobbies, preferences, and personality, and is the subject of comparison and analysis by the dedicated AIs through interaction.

[0207] An "event" refers to a gathering or activity held at a physical store that a user wishes to participate in.

[0208] A "compatibility report" refers to a report that includes information about compatible partners and common topics of conversation at events in which a user participates.

[0209] "Activity data" refers to data related to a user's daily activities, including reading history, travel history, and music playback history.

[0210] A "server" refers to a platform that generates and trains dedicated artificial intelligence, manages data, and provides analysis results.

[0211] This invention is a system that provides opportunities for men and women to meet, using artificial intelligence (AI) that is individually assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[0212] System Configuration

[0213] server

[0214] The server has the following functions:

[0215] 1. User profile management function

[0216] The system stores user information such as name, age, gender, hobbies, and preferences in a database.

[0217] 2. Generation and learning of a dedicated artificial intelligence

[0218] A generative AI model is used to generate a dedicated AI for each user.

[0219] The AI ​​learns based on user activity data.

[0220] 3. Execution of the compatibility determination algorithm

[0221] It manages interactions between dedicated AIs and executes an algorithm to determine compatibility.

[0222] 4. Generating a compatibility report

[0223] Based on the interaction results between dedicated AIs in a virtual space, a compatibility report is generated and provided to the user.

[0224] As a concrete example, the server utilizes activity data such as the user's "reading history" and "travel history."

[0225] terminal

[0226] The device has the following features:

[0227] 1. User registration and initial setup

[0228] There is a feature that allows users to input information to generate a dedicated AI.

[0229] 2. Collection of daily activity data

[0230] The system collects users' daily activity data (e.g., reading history, travel history, music playback history, etc.) and periodically sends it to the server.

[0231] 3. Event Recommendation and Registration

[0232] We recommend events held at physical stores based on users' interests.

[0233] 4. Displaying the compatibility report

[0234] Display the compatibility report sent from the server to the user.

[0235] As a concrete example, the device displays event information for the user, such as "a cafe reading group" or "a bar for conversation."

[0236] user

[0237] The user will take the following actions:

[0238] 1. User Registration

[0239] We provide the information necessary to generate a dedicated AI using devices such as smartphones and personal computers.

[0240] 2. Provision of daily activity data

[0241] Activity data is sent to the server via the device to assist the dedicated AI in learning.

[0242] 3. Event participation

[0243] Participate in events at recommended physical stores and meet someone compatible with you.

[0244] 4. Check the compatibility report

[0245] Review the compatibility report sent from the server and decide whether to participate in the event.

[0246] Program Processing Description

[0247] The server manages user information using programming languages ​​such as Python and a database management system (e.g., PostgreSQL). Generative AI models are built using machine learning frameworks such as TENSORFLOW® and PyTorch. User activity data is sent from the terminal to the server in JSON format. Furthermore, the compatibility determination algorithm analyzes data obtained from interactions between dedicated AIs, based on the user's hobbies, preferences, and personality data. Interactions between dedicated AIs take place periodically in a virtual space, and the data from these interactions is stored on the server.

[0248] For example, if a user expresses interest in joining a "cafe reading group," the server will determine their compatibility with other related users' personal AIs and generate a compatibility report that includes a shared interest in reading. The generated report is sent to the user's device and displayed to them.

[0249] Example prompts for generative AI models:

[0250] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[0251] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0252] Step 1:

[0253] User Registration

[0254] Input: Users download the application on their smartphone or computer and enter information such as their name, age, gender, and interests.

[0255] Processing: The terminal sends this information to the server in JSON format.

[0256] Output: The server stores the received information in a database and generates a dedicated artificial intelligence (AI) profile.

[0257] Step 2:

[0258] Initial setup

[0259] Input: A dedicated AI profile sent from the server.

[0260] Processing: After the dedicated AI is generated, the server performs initial setup using the generated AI model, setting the initial state of the AI ​​based on the user's basic information.

[0261] Output: A pre-configured, dedicated AI is assigned to the user.

[0262] Step 3:

[0263] Collection of daily activity data

[0264] Input: User's daily activity data (e.g., reading history, travel history, music playback history)

[0265] Processing: The device periodically collects this data, and once a certain amount has accumulated, it sends the data to the server in JSON format.

[0266] Output: The server saves the received data to the database and updates the AI's training data.

[0267] Step 4:

[0268] Dedicated AI learning

[0269] Input: User's daily activity data stored on the server.

[0270] Processing: The server's generated AI model uses this data to train its dedicated AI. For example, it analyzes patterns such as what kind of books users read or where they travel.

[0271] Output: A dedicated AI is generated, updated based on the training data.

[0272] Step 5:

[0273] Event Recommendation

[0274] Input: User's hobby and preference data.

[0275] Processing: Based on this data, the device retrieves relevant in-store events (e.g., cafe book clubs, bar social events) from the server and recommends them to the user.

[0276] Output: Displays recommended event information to the user.

[0277] Step 6:

[0278] Event Registration

[0279] Input: User's willingness to participate in the recommended event.

[0280] Processing: The terminal sends registration information to the server. The server receives this information and begins determining compatibility with the dedicated AI of other related users.

[0281] Output: Event registration information stored on the server.

[0282] Step 7:

[0283] Exclusive AI communication

[0284] Input: Registered event participation information and the profile data of each exclusive AI

[0285] Process: The server enables exclusive AIs to exchange information in a virtual space and analyzes common hobbies and compatibility

[0286] Output: Compatibility data of exclusive AIs based on the compatibility judgment algorithm

[0287] Step 8:

[0288] Generation of compatibility report

[0289] Input: Compatibility data of exclusive AIs and communication results

[0290] Process: The server uses a generation AI model to generate a compatibility report that is useful when the user participates in an event. The report includes shared hobbies and conversation starters with compatible partners

[0291] Output: The generated compatibility report is sent to the terminal

[0292] Step 9:

[0293] Display of compatibility report

[0294] Input: Compatibility report sent from the server

[0295] Process: The terminal receives the compatibility report and displays it to the user. This allows the user to grasp the common points with compatible partners before participating in the event

[0296] Output: The compatibility report is confirmed by the user

[0297] This allows users to effectively find compatible partners. For example, users participating in a "cafe book club" can receive a compatibility report that includes conversation starters, such as topics related to specific books.

[0298] Example prompts for generative AI models:

[0299] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[0300] 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.

[0301] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment. The following describes a specific embodiment of the system.

[0302] System Configuration

[0303] server

[0304] It has a database that manages user profiles and sentiment data.

[0305] We provide a platform for generating, learning, executing compatibility determination algorithms, and processing data for emotion engines using dedicated artificial intelligence.

[0306] It has a function to manage interactions between dedicated AIs and find compatible partners.

[0307] Terminal

[0308] It has the function of collecting the user's daily behavior data (such as reading history, travel history, music playback history, etc.) and emotion data and sending them to the server.

[0309] Displays the report sent from the server so that the user can view it.

[0310] User

[0311] Using a terminal such as a smartphone or a personal computer, communicate with a dedicated artificial intelligence.

[0312] Input hobby and personality data and provide daily activity data and emotion data.

[0313] Emotion engine

[0314] It has the function of recognizing the user's emotion and collecting emotion data.

[0315] Analyze the emotion data and send the result to the dedicated artificial intelligence.

[0316] Program processing

[0317] 1. User registration

[0318] User:

[0319] Download and launch the terminal application.

[0320] Enter information about name, age, gender, and hobbies.

[0321] Terminal:

[0322] Collect the information entered by the user and send it to the server as JSON-formatted data.

[0323] Server:

[0324] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[0325] Specific example: If a user enters "Taro Yamada, 28 years old, male, loves reading, loves traveling," that data is saved on the server, and a dedicated artificial intelligence and emotion engine are generated.

[0326] 2. Collection and learning of emotional data

[0327] Terminal:

[0328] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[0329] The collected emotional data is sent to the server at regular intervals.

[0330] server:

[0331] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[0332] Specific example: When a user is listening to music, the emotion engine recognizes the emotion of "happiness" and sends that data to the server.

[0333] 3. Learning by the dedicated AI

[0334] Terminal:

[0335] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[0336] The collected data is sent to the server.

[0337] server:

[0338] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[0339] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from a trip to Spain" is sent to the server.

[0340] 4. Interaction between dedicated AIs

[0341] server:

[0342] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[0343] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[0344] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI," analyzing not only their shared hobbies and preferences but also commonalities in their emotional responses.

[0345] 5. Compatibility assessment and report creation

[0346] server:

[0347] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[0348] Once it finds the most compatible partner, it generates a report and sends it to the device.

[0349] Terminal:

[0350] Notify users of received reports so they can review them.

[0351] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," and a report is sent to Yamada Taro stating that "there are many points of agreement in emotional responses."

[0352] This allows users to receive efficient compatibility assessments that take into account emotions such as joy and excitement while going about their daily lives, giving them the opportunity to meet their ideal partner. This system will also contribute to a fundamental solution to the declining birthrate problem.

[0353] The following describes the processing flow.

[0354] Step 1:

[0355] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[0356] Step 2:

[0357] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[0358] Step 3:

[0359] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[0360] Step 4:

[0361] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It generates a dedicated artificial intelligence and emotion engine and sets the user information as the initial profile.

[0362] Step 5:

[0363] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and emotional data. The device's emotional engine recognizes the user's emotions in real time and collects the data.

[0364] Step 6:

[0365] The device sends collected activity and emotion data to the server at regular intervals.

[0366] Step 7:

[0367] The server stores the received activity and emotion data in a database. A dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the received data, and updates the profile while also considering the emotion data.

[0368] Step 8:

[0369] The server schedules regular interaction sessions between its dedicated artificial intelligences, allowing them to communicate within the virtual space.

[0370] Step 9:

[0371] The dedicated AI exchanges information with other AIs, analyzing common interests, preferences, and emotional data. The server's compatibility algorithm calculates the compatibility between each AI, taking emotional data into account.

[0372] Step 10:

[0373] The server finds compatible partners and generates a report based on those results. This report is then sent to each user's device.

[0374] Step 11:

[0375] The device notifies the user of received reports and displays them within the app. The user can then check the commonalities between the profile information and sentiment data of compatible partners.

[0376] Step 12:

[0377] The user selects an action such as "like" or "send a message." The device then sends the user's action to the server.

[0378] Step 13:

[0379] The server records user action information in a database, and when a match is made with a specific person, it unlocks messaging and other communication functions.

[0380] As a concrete example, when a user is listening to music, the emotion engine recognizes the emotion of "enjoyment" and sends it to the server, where a dedicated AI analyzes compatibility based on that data. As a result, the user is provided with a report that includes information such as "there are many points of agreement in emotional responses." In this way, users can receive efficient compatibility evaluations based on emotional data while going about their daily lives, and have the opportunity to meet their ideal partner.

[0381] (Example 2)

[0382] 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".

[0383] In modern society, the declining birthrate is a serious problem, partly due to people's inability to find suitable partners. However, conventional matching systems judge compatibility based only on data such as hobbies, preferences, and personality, and do not take emotional data into consideration, making it difficult to perform highly accurate compatibility assessments. Therefore, there is a need for a system that performs a comprehensive compatibility assessment including emotional data and provides more accurate partner candidates.

[0384] 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.

[0385] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for collecting and transmitting the user's daily activity data and emotional data to the server; means for analyzing the received emotional data and for the artificial intelligence to learn from that data; means for the dedicated artificial intelligences to interact with each other in a virtual space and compare and analyze information including emotional data with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to perform highly accurate compatibility evaluations that take emotional data into consideration.

[0386] A "user" refers to an individual who uses the system to input and provide data about their hobbies, preferences, and emotions.

[0387] A "dedicated artificial intelligence" refers to an artificial intelligence system that is exclusively assigned to a specific user and learns and analyzes that user's hobbies, preferences, personality, and emotional data.

[0388] "Activity data" refers to data that shows a user's daily behavioral history and behavioral patterns, including, for example, reading history, travel history, and music playback history.

[0389] "Emotional data" refers to data that quantifies or qualitatively records the emotions that users experience in their daily lives.

[0390] A "server" refers to a computing system that receives data sent by users, analyzes it, and stores it in a database.

[0391] A "database" is a data storage device connected to a server that stores various types of data collected from users and dedicated artificial intelligence.

[0392] An "emotion engine" is a general term for software and hardware that recognizes a user's emotions and collects and analyzes them as data.

[0393] "Compatibility evaluation" refers to the process by which a dedicated artificial intelligence evaluates its compatibility with other users' artificial intelligences.

[0394] "Virtual space" refers to a simulation environment where dedicated artificial intelligences exchange and analyze data.

[0395] A "report" refers to a report-style output generated to inform users of the results of the compatibility evaluation.

[0396] A "compatibility assessment algorithm" refers to a mathematical and logical method used by a dedicated artificial intelligence to calculate compatibility with other users based on the user's hobbies, preferences, personality, and emotional data.

[0397] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment.

[0398] System Configuration

[0399] server

[0400] The server has a database that manages user profiles and sentiment data.

[0401] The server provides a platform for generating, learning, executing compatibility determination algorithms, and processing data for the emotion engine, all for dedicated artificial intelligence.

[0402] The server manages interactions between dedicated artificial intelligences and has a function to find compatible partners.

[0403] terminal

[0404] The device has the function of collecting the user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data, and sending it to a server.

[0405] The terminal displays reports sent from the server, allowing users to review them.

[0406] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[0407] Users input data on their hobbies, preferences, and personality, and provide daily activity data and emotional data.

[0408] Emotional Engine

[0409] The emotion engine has the function of recognizing the user's emotions and collecting emotional data.

[0410] The emotion engine analyzes emotional data and sends the results to a dedicated artificial intelligence.

[0411] Overview of Program Processing

[0412] First, users download and launch the application on their smartphone or computer. Users enter information such as their name, age, gender, hobbies, and preferences, and the device collects this information and sends it to the server as JSON data. The server stores the received information in a database and generates a dedicated artificial intelligence and emotion engine.

[0413] In daily life, the device recognizes the user's daily actions and emotions through an emotion engine, collects this data, and periodically sends it to a server. For example, if the emotion engine recognizes that the user is "happy" while listening to music, that data is sent to the server. The server stores this emotion data in a database, and a dedicated artificial intelligence learns from that data.

[0414] The device also collects data on the user's daily activities (e.g., reading history, travel history, music playback history) and sends it to the server. Based on this data, artificial intelligence on the server learns the user's hobbies, preferences, and personality. For example, data such as "the user is reading a specific book" or "the user posted photos from a travel destination" is sent to the server.

[0415] Subsequently, the server provides a virtual space where dedicated AIs can interact with each other. These AIs exchange information with other users' AIs and evaluate compatibility, taking emotional data into account. For example, "User A's AI" interacts with "User B's AI," analyzing not only common hobbies and preferences but also similarities in emotional responses.

[0416] Ultimately, the server's dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated artificial intelligences. Once it finds the most compatible partner, it generates a report and sends it to the terminal. For example, if "User A's artificial intelligence" determines that it is compatible with "User B's artificial intelligence," a report is sent to User A stating that "there are many points of agreement in emotional responses."

[0417] Examples of specific cases and prompt statements

[0418] As a concrete example, consider a case where a user named "Taro Yamada" inputs information such as being 28 years old, male, and enjoying reading and traveling. This information is stored on the server, and a dedicated artificial intelligence and emotion engine are generated.

[0419] Examples of prompt statements to use:

[0420] "Please enter your name, age, gender, and information about your hobbies and interests. Next, we will collect and submit your daily behavioral data and emotional data. The system will then perform a compatibility assessment and report who you are most compatible with."

[0421] In this way, users can receive highly accurate compatibility evaluations that take emotional data into consideration. With the server, terminal, and user each fulfilling their respective roles, this system also contributes to solving the problem of the declining birthrate.

[0422] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0423] Step 1: User Registration

[0424] user:

[0425] Download the application to your smartphone or computer and launch it.

[0426] Enter your name, age, gender, and information about your hobbies and interests.

[0427] Input: Information about the user's name, age, gender, hobbies, and interests.

[0428] Terminal:

[0429] The system collects information entered by the user and sends it to the server as data in JSON format.

[0430] Specific operation: The app on the device collects input data via a browser form and sends an HTTP POST request to the server.

[0431] Output: JSON data of user information sent to the server.

[0432] server:

[0433] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[0434] Specific operation: The server inserts the user profile into the database and then performs initial setup of the AI ​​model to generate an AI agent corresponding to the user.

[0435] Output: User information stored in the database and the generated artificial intelligence and emotion engine.

[0436] Step 2: Collect and learn emotional data

[0437] Terminal:

[0438] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[0439] The collected emotional data is sent to the server at regular intervals.

[0440] Input: User emotional information from everyday life.

[0441] Specific operation: The device's emotion engine uses the microphone and camera sensors to analyze emotion data in real time and periodically sends the results in batches.

[0442] Output: Sentiment data sent to the server.

[0443] server:

[0444] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[0445] Specific operation: The server stores the emotion data in the appropriate table, and the AI ​​module updates its parameters based on the new data.

[0446] Output: Updated AI parameters.

[0447] Step 3: Dedicated AI learning

[0448] Terminal:

[0449] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[0450] The collected data is sent to the server.

[0451] Input: Daily activity data.

[0452] Specific operation: The device collects the user's app usage history, GPS data, and media playback history as logs and periodically uploads them to a server via HTTPS.

[0453] Output: Activity data sent to the server.

[0454] server:

[0455] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[0456] Specific operation: Activity data stored in a database is input into a machine learning algorithm, and user characteristics are learned using regression analysis and clustering.

[0457] Output: Updated user profile based on training results.

[0458] Step 4: Interaction between dedicated AIs

[0459] server:

[0460] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[0461] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[0462] Input: Profile data of trained artificial intelligences.

[0463] Specific operation: The server creates instances to simulate the virtual space, and a dedicated AI exchanges information via an API.

[0464] Output: Evaluation data obtained from information exchange and interaction.

[0465] Step 5: Compatibility assessment and report creation

[0466] server:

[0467] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[0468] Once it finds the most compatible partner, it generates a report and sends it to the device.

[0469] Input: Evaluation data and sentiment data obtained from interactions.

[0470] Specific operation: The compatibility determination algorithm calculates the results considering the emotional data and activity history in the database, generates a report in PDF or HTML format, and sends it to the terminal as an HTTP response.

[0471] Output: The generated report.

[0472] Terminal:

[0473] Notify users of received reports so they can review them.

[0474] Specific operation: The terminal app receives a new report notification from the server and displays it as a pop-up on the screen.

[0475] Output: A report that users can view.

[0476] (Application Example 2)

[0477] 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".

[0478] Traditional systems could find partners based on users' hobbies, preferences, and personalities, but they lacked compatibility assessments that reflected emotional data, making it difficult to determine compatibility at a deeper level. Furthermore, real-time compatibility assessments based on user interactions were also challenging. Therefore, there is a need for a system that enables comprehensive compatibility assessments that include users' emotions and daily activity data.

[0479] 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.

[0480] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze personality information with other user-dedicated artificial intelligences; means for providing information on other users who are judged to be compatible based on the analysis results; means for using an emotion engine to collect emotion data from individual users, analyze the emotion data, and provide it to the dedicated artificial intelligence; and means for the user-dedicated artificial intelligence to interact with other user-dedicated artificial intelligences in real time within a virtual space to determine compatibility. This makes it possible to make a comprehensive compatibility determination that reflects the user's emotions and daily activities.

[0481] An "individual user" refers to an individual user who has their own unique profile and information when using a particular service or system.

[0482] A "dedicated artificial intelligence" is an artificial intelligence system that responds to individual users, learns their hobbies, preferences, and personality, and provides the most suitable service.

[0483] "Hobbies and preferences" refer to a user's likes and interests regarding specific activities, things, or objects.

[0484] "Personality" refers to the characteristics that describe a user's behavioral, thought, and emotional tendencies.

[0485] "Interaction" refers to the act of dedicated artificial intelligences exchanging information and using each other's data for analysis.

[0486] "Personality information" refers to data and characteristics that indicate a user's personality.

[0487] "Analysis" refers to a series of processes that involve thoroughly analyzing collected data and converting it into meaningful information.

[0488] "Information on other users deemed to be a good match" refers to information about other users who, based on the analysis results, have been identified as potential partners for a particular user.

[0489] "Emotional data" refers to data that represents a user's emotions in their daily life, including emotions such as "happy," "sad," and "angry."

[0490] An "emotion engine" is software or hardware that recognizes a user's emotions and collects and analyzes emotional data.

[0491] A "virtual space" is a 3D simulated environment built on a computer system that users can visually experience.

[0492] "Real-time interaction" refers to the instantaneous exchange of information and interaction between dedicated artificial intelligences.

[0493] "Compatibility assessment" is a process that evaluates how well a particular user is compatible with other users, based on collected data and analysis results.

[0494] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. The following describes in detail how each element interacts and performs data processing and calculations.

[0495] server

[0496] The server plays a central role in the system and includes the following:

[0497] User information management: The server generates an artificial intelligence dedicated to each individual user and maintains a database that learns the user's hobbies, preferences, and personality.

[0498] Collection and analysis of emotional data: Emotional data sent from the emotion engine is received and analyzed. A dedicated artificial intelligence uses this emotional data to learn the user's emotional state.

[0499] Virtual space management: Provides an environment where a dedicated artificial intelligence interacts with other dedicated artificial intelligences in real time within the virtual space and performs compatibility assessments.

[0500] Compatibility assessment and report generation: Based on the collected data, compatibility assessments are performed, and reports are generated to notify the user of the results.

[0501] terminal

[0502] The terminal is responsible for the interface with the user and includes the following means:

[0503] Data Collection: The system collects users' daily activity data (reading history, travel history, music playback history, etc.) and emotional data via an emotion engine and sends them to the server.

[0504] Notifications and Display: Receive compatibility assessment reports sent from the server and notify the user. Users can view the reports on their devices.

[0505] user

[0506] A user is a user of the system, and this includes the following:

[0507] Profile Registration: Enter your name, age, gender, and information about your hobbies and interests into the device. This data is sent to the server, and a personalized artificial intelligence is generated for you.

[0508] Emotional Data Provision: The emotion engine recognizes and collects data on emotions experienced in daily life. Users can provide data to the system naturally without requiring any special actions.

[0509] Specific example

[0510] For example, when a user enters profile data such as "Taro, 28 years old, male, loves reading and traveling," that information is stored on the server. The server generates a dedicated artificial intelligence that learns the user's hobbies, preferences, and personality. Also, when the emotion engine recognizes the emotion "enjoyment" while the user is listening to music, that data is sent to the server, and the dedicated artificial intelligence learns from it.

[0511] Example of a prompt

[0512] Examples of prompts for providing feedback to a generative AI model are as follows:

[0513] In this virtual dating platform, compatibility is determined using a user-specific artificial intelligence and emotion engine. Please describe the process of matching users with each other using the user's profile data (e.g., 28 years old, male, hobbies: reading and traveling). Please detail how the information and emotion data entered by the user are collected and sent to the server, and explain the process of generating a report of compatible users.

[0514] This invention allows users to receive a comprehensive compatibility assessment that reflects their emotions and daily activities, making it more likely that they will find their ideal partner.

[0515] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0516] Step 1:

[0517] The user enters profile information from their device. They input data such as name, age, gender, and hobbies / interests into the device, and then the device sends this information to the server. The entered data is sent to the server in JSON format. The server receives this data and stores it in its database.

[0518] Step 2:

[0519] The server generates a dedicated artificial intelligence (AI) based on the user's profile information. The generated AI performs initial setup to learn the user's hobbies, preferences, and personality. This learning process involves building the user's profile based on input data and updating it according to subsequent activity and emotional data.

[0520] Step 3:

[0521] The emotion engine collects user emotion data in real time. The emotion engine uses voice analysis and biosensors to identify the user's emotions and transmits this data to the device. The device periodically sends this data back to the server.

[0522] Step 4:

[0523] The server analyzes the received emotional data. Machine learning algorithms are used for the analysis, quantifying the user's emotional state and feeding it back to a dedicated artificial intelligence. This analysis data is stored in a database and used for future compatibility assessments.

[0524] Step 5:

[0525] A dedicated artificial intelligence updates the user's profile based on collected emotional and activity data. This creates a profile that reflects the user's latest interests, preferences, personality, and emotional state. This profile is used to determine compatibility with other users.

[0526] Step 6:

[0527] Dedicated artificial intelligences interact with each other within a virtual space. The server provides an environment where a user's dedicated AI can interact in real time with other users' dedicated AIs within the virtual space. Based on the data acquired through these interactions, the dedicated AI determines its compatibility with other users.

[0528] Step 7:

[0529] The compatibility assessment results are generated as a report. The server uses the collected data and compatibility assessment algorithm to evaluate the compatibility between the user and other users and generates a report. This report is used to notify the user of the best partner.

[0530] Step 8:

[0531] The generated report is sent to the user's terminal. The terminal receives the report sent from the server and notifies the user. The user can then view the contents of the report via the terminal.

[0532] Through these steps, users can receive a comprehensive compatibility assessment that reflects their emotional data and daily activities, giving them the opportunity to find a more suitable partner.

[0533] 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.

[0534] 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 those described above. 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 shown 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.

[0535] 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.

[0536] [Second Embodiment]

[0537] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0538] 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.

[0539] 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).

[0540] 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.

[0541] 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.

[0542] 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).

[0543] 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.

[0544] 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.

[0545] 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.

[0546] 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.

[0547] 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.

[0548] 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".

[0549] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. This system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[0550] System Configuration

[0551] server

[0552] It has a database that manages user profiles.

[0553] We provide a platform for generating and learning proprietary artificial intelligence and executing compatibility determination algorithms.

[0554] It has a function to manage interactions between dedicated AIs and find compatible partners.

[0555] terminal

[0556] It has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to the server.

[0557] Display the reports sent from the server so that users can review them.

[0558] user

[0559] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[0560] Users input data about their hobbies, preferences, and personality, and then provide activity data.

[0561] Program processing

[0562] 1. User Registration

[0563] user:

[0564] Download and launch the terminal application.

[0565] Upon first launch, you will be asked to enter information about your name, age, gender, and hobbies / interests.

[0566] Terminal:

[0567] The system receives information entered by the user and sends it to the server as data in JSON format.

[0568] server:

[0569] The system stores the received user information in a database and generates a dedicated artificial intelligence.

[0570] Specific example: If a user enters "Taro Yamada, 28 years old, male, likes reading, likes traveling," that information is sent to the server, and a dedicated artificial intelligence is generated.

[0571] 2. Dedicated AI learning

[0572] Terminal:

[0573] The system collects data on users' daily activities (such as reading records, travel diaries, and music playback history).

[0574] This data is sent to the server periodically.

[0575] server:

[0576] The collected data is received and stored in the database.

[0577] The dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the data it receives.

[0578] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from their trip to Spain" is sent from the device to the server.

[0579] 3. Interaction between dedicated AIs

[0580] server:

[0581] It provides a virtual space where dedicated artificial intelligences can interact with each other on a regular basis.

[0582] The dedicated artificial intelligence exchanges information with other AIs and evaluates their compatibility.

[0583] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI" and analyzes commonalities in hobbies and preferences.

[0584] 4. Compatibility assessment and report creation

[0585] server:

[0586] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[0587] When a compatible partner is found, a report is generated and sent to the device.

[0588] Terminal:

[0589] The system displays received reports to users and provides information about compatible partners.

[0590] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," generates a report stating "It seems you and Sato Hanako have similar hobbies," and notifies Yamada Taro.

[0591] This allows users to efficiently meet compatible partners while going about their daily lives, contributing to a fundamental solution to the declining birthrate problem.

[0592] The following describes the processing flow.

[0593] Step 1:

[0594] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[0595] Step 2:

[0596] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[0597] Step 3:

[0598] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[0599] Step 4:

[0600] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It then generates a dedicated artificial intelligence and sets the user information as its initial profile.

[0601] Step 5:

[0602] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.). The device sends this data to the server at regular intervals.

[0603] Step 6:

[0604] The server stores the received activity data in a database, and a dedicated artificial intelligence (AI) uses this data to learn the user's hobbies, preferences, and personality. The server updates the AI's profile using machine learning algorithms.

[0605] Step 7:

[0606] The server manages the interactions between the dedicated artificial intelligences. It provides a virtual space where the dedicated AIs can interact on a regular basis and conduct one-on-one interaction sessions.

[0607] Step 8:

[0608] The dedicated AI exchanges information with other AIs, analyzing their common interests and differences. The server executes a compatibility assessment algorithm and calculates a compatibility score between each AI.

[0609] Step 9:

[0610] The server finds the most compatible partner based on compatibility scores. It generates a report of the results and sends that report to each user's device.

[0611] Step 10:

[0612] The device notifies the user of the received report. The user can then review the report within the app and view the profile information of compatible partners.

[0613] Step 11:

[0614] The user selects an action such as "like" or "send a message." The device receives the user's action and sends that information to the server.

[0615] Step 12:

[0616] The server records user action information in a database, and when a match is made with a specific person, it unlocks communication functions such as messaging.

[0617] (Example 1)

[0618] 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."

[0619] In modern society, the declining birthrate is a serious social problem. In particular, the current situation makes it difficult to find a compatible partner efficiently due to limited opportunities for meeting people. To solve this problem, a system is needed that deeply understands users' hobbies, preferences, and personalities, and effectively finds compatible partners.

[0620] 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.

[0621] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze individual information with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to efficiently find compatible partners based on the user's hobbies, preferences, and personality.

[0622] A "user" refers to an individual person who uses the system.

[0623] A "personalized artificial intelligence" refers to an artificial intelligence that is individually assigned to a user, learns the user's hobbies, preferences, and personality, and provides various forms of support for that user.

[0624] "Hobbies and preferences" refer to the activities that users enjoy doing on a daily basis and the things they are interested in.

[0625] "Personality" refers to stable characteristics and attributes related to a user's behavior and way of thinking.

[0626] "Virtual space" refers to a digital environment where dedicated artificial intelligences exchange information and interact with each other.

[0627] A "compatibility assessment algorithm" refers to a calculation method or process used to evaluate compatibility between multiple artificial intelligences based on user information.

[0628] A "report" refers to a report generated as a result of a compatibility assessment algorithm, which contains information about compatible partners.

[0629] "Terminal" refers to electronic devices such as smartphones and personal computers used by users.

[0630] A "server" refers to a centralized computing system that manages data and generates and trains its own dedicated artificial intelligence.

[0631] "Personalized information" refers to specific data about the user (e.g., hobbies, preferences, personality, behavioral history, etc.).

[0632] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[0633] System Configuration

[0634] server

[0635] The server has a database that manages user profiles. It provides a platform for generating and training dedicated artificial intelligence and executing compatibility determination algorithms. It also has a function to manage interactions between dedicated artificial intelligences and find compatible partners.

[0636] terminal

[0637] The device has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to a server. It also displays reports sent from the server for the user to review.

[0638] user

[0639] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers. Users input data about their hobbies, preferences, and personality, and provide activity data.

[0640] Examples of specific cases and prompt statements

[0641] For example, if a user enters "Taro Yamada, 28 years old, male, loves reading and traveling," this information is sent to the server, and a dedicated artificial intelligence is generated. Furthermore, when data such as "reading Harry Potter" or "posted photos from a trip to Spain" is sent from the device to the server, the dedicated AI learns from this information. Then, "Taro Yamada's AI" determines that it is compatible with "Hanako Sato's AI," and a report stating "You seem to have similar hobbies to Hanako Sato" is generated and notified to Taro Yamada's device, allowing the user to efficiently find compatible partners.

[0642] Examples of prompts to input into a generative AI model

[0643] Examples of prompt messages are as follows:

[0644] "Based on the following information, please create a description of the user's personalized AI. Include specific examples from the user's past behavioral data, such as name, age, gender, hobbies, and preferences, and describe in detail the process by which the user efficiently finds compatible partners through this system."

[0645] As described above, in order to implement this invention, it is important to establish a process that links a server, a terminal, and a dedicated artificial intelligence to find a compatible partner based on user data.

[0646] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0647] Step 1:

[0648] User Registration

[0649] user:

[0650] Download and launch the application.

[0651] Upon first launch, you will be asked to enter information such as your name, age, gender, hobbies, and interests.

[0652] Terminal:

[0653] The system receives the input information and sends it to the server as JSON data.

[0654] server:

[0655] Receive data in JSON format and save it to the user database.

[0656] Based on the received data, it generates an artificial intelligence system that is dedicated to the user.

[0657] Inputs and outputs:

[0658] Input: User's personal information (e.g., name, age, gender, hobbies, interests, etc.)

[0659] Output: A database containing user information, and a dedicated artificial intelligence.

[0660] Specific actions:

[0661] When a user enters information such as "Taro Yamada, 28 years old, male, loves reading, loves traveling," the device converts it into JSON format and sends it to the server. The server receives this information, stores it in a database, and generates a dedicated artificial intelligence.

[0662] Step 2:

[0663] Collection and transmission of daily activity data

[0664] Terminal:

[0665] The system continuously collects data on users' daily activities (e.g., reading history, travel history, music playback history, etc.).

[0666] These data are sent to the server at regular intervals.

[0667] server:

[0668] The system receives the submitted behavioral data and saves it to the user database.

[0669] A dedicated artificial intelligence uses this data to further learn the user's hobbies, preferences, and personality.

[0670] Inputs and outputs:

[0671] Input: User's daily activity data (e.g., recently read books, places visited, music played history)

[0672] Output: Updated training data for the dedicated artificial intelligence.

[0673] Specific actions:

[0674] When a user performs actions such as "finishing reading Harry Potter" or "uploading photos from a trip to Spain," the device collects this behavioral data and sends it to a server. The server updates its database, and a dedicated artificial intelligence learns from the new data.

[0675] Step 3:

[0676] Interaction between dedicated AIs

[0677] server:

[0678] It provides a virtual space where dedicated artificial intelligences can interact with each other at regular intervals.

[0679] Through interaction, it exchanges information with other artificial intelligences and analyzes common hobbies and preferences.

[0680] Inputs and outputs:

[0681] Input: Information exchanged between dedicated AI systems (e.g., user's hobbies and preferences, behavioral history, etc.)

[0682] Output: Compatibility evaluation data with other users

[0683] Specific actions:

[0684] "Yamada Taro's AI" interacts with "Sato Hanako's AI" in a virtual space, exchanging information about their hobbies and preferences to analyze their compatibility.

[0685] Step 4:

[0686] Compatibility assessment and report creation

[0687] server:

[0688] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[0689] If compatibility is determined, a detailed report will be generated and sent to the device.

[0690] Terminal:

[0691] The system displays received reports to users and provides information about compatible partners.

[0692] Inputs and outputs:

[0693] Input: Evaluation results from the compatibility determination algorithm

[0694] Output: A report containing information about compatible partners.

[0695] Specific actions:

[0696] If the AI ​​for Taro Yamada determines that it is very compatible with the AI ​​for Hanako Sato, the server generates a report stating, "It seems you and Hanako Sato have similar hobbies," and notifies Taro Yamada's terminal.

[0697] This allows users to efficiently find compatible partners.

[0698] (Application Example 1)

[0699] 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."

[0700] One contributing factor to the declining birthrate is the decrease in opportunities for young people to meet each other. Traditional matchmaking systems often fail to adequately consider users' hobbies, preferences, and personalities, and even at events, it's difficult to find a compatible partner. As a result, successful encounters are less likely, and this issue has not led to a fundamental solution to the declining birthrate.

[0701] 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.

[0702] In this invention, the server is

[0703] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[0704] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[0705] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[0706] A means of generating compatibility reports for events in which users participate,

[0707] This includes increasing the opportunities for users to meet compatible partners at in-store events, enabling more efficient matchmaking.

[0708] A "user" is an individual who utilizes this system and possesses their own dedicated artificial intelligence.

[0709] A "dedicated artificial intelligence" is an artificial intelligence that is dedicated to an individual user and learns that user's hobbies, preferences, and personality.

[0710] "Hobbies, preferences, and personality" refers to the user's interests, preferences, and personality traits, which are the subjects of learning for the dedicated artificial intelligence.

[0711] "Interaction" refers to the exchange of information between dedicated artificial intelligences in a virtual space, followed by comparison and analysis.

[0712] "Personality information" refers to information based on the user's hobbies, preferences, and personality, and is the subject of comparison and analysis by the dedicated AIs through interaction.

[0713] An "event" refers to a gathering or activity held at a physical store that a user wishes to participate in.

[0714] A "compatibility report" refers to a report that includes information about compatible partners and common topics of conversation at events in which a user participates.

[0715] "Activity data" refers to data related to a user's daily activities, including reading history, travel history, and music playback history.

[0716] A "server" refers to a platform that generates and trains dedicated artificial intelligence, manages data, and provides analysis results.

[0717] This invention is a system that provides opportunities for men and women to meet, using artificial intelligence (AI) that is individually assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[0718] System Configuration

[0719] server

[0720] The server has the following functions:

[0721] 1. User profile management function

[0722] The system stores user information such as name, age, gender, hobbies, and preferences in a database.

[0723] 2. Generation and learning of a dedicated artificial intelligence

[0724] A generative AI model is used to generate a dedicated AI for each user.

[0725] The AI ​​learns based on user activity data.

[0726] 3. Execution of the compatibility determination algorithm

[0727] It manages interactions between dedicated AIs and executes an algorithm to determine compatibility.

[0728] 4. Generating a compatibility report

[0729] Based on the interaction results between dedicated AIs in a virtual space, a compatibility report is generated and provided to the user.

[0730] As a concrete example, the server utilizes activity data such as the user's "reading history" and "travel history."

[0731] terminal

[0732] The device has the following features:

[0733] 1. User registration and initial setup

[0734] There is a feature that allows users to input information to generate a dedicated AI.

[0735] 2. Collection of daily activity data

[0736] The system collects users' daily activity data (e.g., reading history, travel history, music playback history, etc.) and periodically sends it to the server.

[0737] 3. Event Recommendation and Registration

[0738] We recommend events held at physical stores based on users' interests.

[0739] 4. Displaying the compatibility report

[0740] Display the compatibility report sent from the server to the user.

[0741] As a concrete example, the device displays event information for the user, such as "a cafe reading group" or "a bar for conversation."

[0742] user

[0743] The user will take the following actions:

[0744] 1. User Registration

[0745] We provide the information necessary to generate a dedicated AI using devices such as smartphones and personal computers.

[0746] 2. Provision of daily activity data

[0747] Activity data is sent to the server via the device to assist the dedicated AI in learning.

[0748] 3. Event participation

[0749] Participate in events at recommended physical stores and meet someone compatible with you.

[0750] 4. Check the compatibility report

[0751] Review the compatibility report sent from the server and decide whether to participate in the event.

[0752] Program Processing Description

[0753] The server manages user information using programming languages ​​such as Python and a database management system (e.g., PostgreSQL). Generative AI models are built using machine learning frameworks such as TensorFlow and PyTorch. User activity data is sent from the terminal to the server in JSON format. Furthermore, the compatibility determination algorithm analyzes data obtained from interactions between dedicated AIs, based on the user's hobbies, preferences, and personality data. Interactions between dedicated AIs take place periodically in a virtual space, and the data from these interactions is stored on the server.

[0754] For example, if a user expresses interest in joining a "cafe reading group," the server will determine their compatibility with other related users' personal AIs and generate a compatibility report that includes a shared interest in reading. The generated report is sent to the user's device and displayed to them.

[0755] Example prompts for generative AI models:

[0756] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[0757] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0758] Step 1:

[0759] User Registration

[0760] Input: Users download the application on their smartphone or computer and enter information such as their name, age, gender, and interests.

[0761] Processing: The terminal sends this information to the server in JSON format.

[0762] Output: The server stores the received information in a database and generates a dedicated artificial intelligence (AI) profile.

[0763] Step 2:

[0764] Initial setup

[0765] Input: A dedicated AI profile sent from the server.

[0766] Processing: After the dedicated AI is generated, the server performs initial setup using the generated AI model, setting the initial state of the AI ​​based on the user's basic information.

[0767] Output: A pre-configured, dedicated AI is assigned to the user.

[0768] Step 3:

[0769] Collection of daily activity data

[0770] Input: User's daily activity data (e.g., reading history, travel history, music playback history)

[0771] Processing: The device periodically collects this data, and once a certain amount has accumulated, it sends the data to the server in JSON format.

[0772] Output: The server saves the received data to the database and updates the AI's training data.

[0773] Step 4:

[0774] Dedicated AI learning

[0775] Input: User's daily activity data stored on the server.

[0776] Processing: The server's generated AI model uses this data to train its dedicated AI. For example, it analyzes patterns such as what kind of books users read or where they travel.

[0777] Output: A dedicated AI is generated, updated based on the training data.

[0778] Step 5:

[0779] Event Recommendation

[0780] Input: User's hobby and preference data.

[0781] Processing: Based on this data, the device retrieves relevant in-store events (e.g., cafe book clubs, bar social events) from the server and recommends them to the user.

[0782] Output: Displays recommended event information to the user.

[0783] Step 6:

[0784] Event Registration

[0785] Input: User's willingness to participate in the recommended event.

[0786] Processing: The terminal sends registration information to the server. The server receives this information and begins determining compatibility with the dedicated AI of other related users.

[0787] Output: Event registration information stored on the server.

[0788] Step 7:

[0789] Interaction between dedicated AIs

[0790] Input: Registered event participation information and profile data for each dedicated AI.

[0791] Processing: The server allows dedicated AIs to exchange information in a virtual space, analyzing common interests, preferences, and compatibility.

[0792] Output: Compatibility data between dedicated AIs based on a compatibility determination algorithm.

[0793] Step 8:

[0794] Generating a compatibility report

[0795] Input: Compatibility data and interaction results between dedicated AIs.

[0796] Processing: The server uses an AI model to generate a compatibility report that is helpful when users participate in an event. The report includes shared hobbies and conversation starters for compatible partners.

[0797] Output: The generated compatibility report is sent to the device.

[0798] Step 9:

[0799] Display compatibility report

[0800] Input: Compatibility report sent from the server.

[0801] Processing: The device receives a compatibility report and displays it to the user. This allows the user to understand commonalities with compatible partners before participating in an event.

[0802] Output: The compatibility report is presented to the user for review.

[0803] This allows users to effectively find compatible partners. For example, users participating in a "cafe book club" can receive a compatibility report that includes conversation starters, such as topics related to specific books.

[0804] Example prompts for generative AI models:

[0805] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[0806] 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.

[0807] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment. The following describes a specific embodiment of the system.

[0808] System Configuration

[0809] server

[0810] It has a database that manages user profiles and sentiment data.

[0811] We provide a platform for generating, learning, executing compatibility determination algorithms, and processing data for emotion engines using dedicated artificial intelligence.

[0812] It has a function to manage interactions between dedicated AIs and find compatible partners.

[0813] terminal

[0814] It has the functionality to collect and send to a server user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data.

[0815] Display the reports sent from the server so that users can review them.

[0816] user

[0817] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[0818] Users input their hobbies, preferences, and personality data, and the system provides daily activity and emotional data.

[0819] Emotional Engine

[0820] It has the ability to recognize user emotions and collect emotional data.

[0821] It analyzes emotional data and sends the results to a dedicated artificial intelligence.

[0822] Program processing

[0823] 1. User Registration

[0824] user:

[0825] Download and launch the terminal application.

[0826] Enter your name, age, gender, and information about your hobbies and interests.

[0827] Terminal:

[0828] The system collects information entered by the user and sends it to the server as data in JSON format.

[0829] server:

[0830] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[0831] Specific example: If a user enters "Taro Yamada, 28 years old, male, loves reading, loves traveling," that data is saved on the server, and a dedicated artificial intelligence and emotion engine are generated.

[0832] 2. Collection and learning of emotional data

[0833] Terminal:

[0834] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[0835] The collected emotional data is sent to the server at regular intervals.

[0836] server:

[0837] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[0838] Specific example: When a user is listening to music, the emotion engine recognizes the emotion of "happiness" and sends that data to the server.

[0839] 3. Learning by the dedicated AI

[0840] Terminal:

[0841] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[0842] The collected data is sent to the server.

[0843] server:

[0844] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[0845] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from a trip to Spain" is sent to the server.

[0846] 4. Interaction between dedicated AIs

[0847] server:

[0848] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[0849] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[0850] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI," analyzing not only their shared hobbies and preferences but also commonalities in their emotional responses.

[0851] 5. Compatibility assessment and report creation

[0852] server:

[0853] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[0854] Once it finds the most compatible partner, it generates a report and sends it to the device.

[0855] Terminal:

[0856] Notify users of received reports so they can review them.

[0857] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," and a report is sent to Yamada Taro stating that "there are many points of agreement in emotional responses."

[0858] This allows users to receive efficient compatibility assessments that take into account emotions such as joy and excitement while going about their daily lives, giving them the opportunity to meet their ideal partner. This system will also contribute to a fundamental solution to the declining birthrate problem.

[0859] The following describes the processing flow.

[0860] Step 1:

[0861] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[0862] Step 2:

[0863] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[0864] Step 3:

[0865] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[0866] Step 4:

[0867] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It generates a dedicated artificial intelligence and emotion engine and sets the user information as the initial profile.

[0868] Step 5:

[0869] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and emotional data. The device's emotional engine recognizes the user's emotions in real time and collects the data.

[0870] Step 6:

[0871] The device sends collected activity and emotion data to the server at regular intervals.

[0872] Step 7:

[0873] The server stores the received activity and emotion data in a database. A dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the received data, and updates the profile while also considering the emotion data.

[0874] Step 8:

[0875] The server schedules regular interaction sessions between its dedicated artificial intelligences, allowing them to communicate within the virtual space.

[0876] Step 9:

[0877] The dedicated AI exchanges information with other AIs, analyzing common interests, preferences, and emotional data. The server's compatibility algorithm calculates the compatibility between each AI, taking emotional data into account.

[0878] Step 10:

[0879] The server finds compatible partners and generates a report based on those results. This report is then sent to each user's device.

[0880] Step 11:

[0881] The device notifies the user of received reports and displays them within the app. The user can then check the commonalities between the profile information and sentiment data of compatible partners.

[0882] Step 12:

[0883] The user selects an action such as "like" or "send a message." The device then sends the user's action to the server.

[0884] Step 13:

[0885] The server records user action information in a database, and when a match is made with a specific person, it unlocks messaging and other communication functions.

[0886] As a concrete example, when a user is listening to music, the emotion engine recognizes the emotion of "enjoyment" and sends it to the server, where a dedicated AI analyzes compatibility based on that data. As a result, the user is provided with a report that includes information such as "there are many points of agreement in emotional responses." In this way, users can receive efficient compatibility evaluations based on emotional data while going about their daily lives, and have the opportunity to meet their ideal partner.

[0887] (Example 2)

[0888] 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".

[0889] In modern society, the declining birthrate is a serious problem, partly due to people's inability to find suitable partners. However, conventional matching systems judge compatibility based only on data such as hobbies, preferences, and personality, and do not take emotional data into consideration, making it difficult to perform highly accurate compatibility assessments. Therefore, there is a need for a system that performs a comprehensive compatibility assessment including emotional data and provides more accurate partner candidates.

[0890] 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.

[0891] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for collecting and transmitting the user's daily activity data and emotional data to the server; means for analyzing the received emotional data and for the artificial intelligence to learn from that data; means for the dedicated artificial intelligences to interact with each other in a virtual space and compare and analyze information including emotional data with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to perform highly accurate compatibility evaluations that take emotional data into consideration.

[0892] A "user" refers to an individual who uses the system to input and provide data about their hobbies, preferences, and emotions.

[0893] A "dedicated artificial intelligence" refers to an artificial intelligence system that is exclusively assigned to a specific user and learns and analyzes that user's hobbies, preferences, personality, and emotional data.

[0894] "Activity data" refers to data that shows a user's daily behavioral history and behavioral patterns, including, for example, reading history, travel history, and music playback history.

[0895] "Emotional data" refers to data that quantifies or qualitatively records the emotions that users experience in their daily lives.

[0896] A "server" refers to a computing system that receives data sent by users, analyzes it, and stores it in a database.

[0897] A "database" is a data storage device connected to a server that stores various types of data collected from users and dedicated artificial intelligence.

[0898] An "emotion engine" is a general term for software and hardware that recognizes a user's emotions and collects and analyzes them as data.

[0899] "Compatibility evaluation" refers to the process by which a dedicated artificial intelligence evaluates its compatibility with other users' artificial intelligences.

[0900] "Virtual space" refers to a simulation environment where dedicated artificial intelligences exchange and analyze data.

[0901] A "report" refers to a report-style output generated to inform users of the results of the compatibility evaluation.

[0902] A "compatibility assessment algorithm" refers to a mathematical and logical method used by a dedicated artificial intelligence to calculate compatibility with other users based on the user's hobbies, preferences, personality, and emotional data.

[0903] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment.

[0904] System Configuration

[0905] server

[0906] The server has a database that manages user profiles and sentiment data.

[0907] The server provides a platform for generating, learning, executing compatibility determination algorithms, and processing data for the emotion engine, all for dedicated artificial intelligence.

[0908] The server manages interactions between dedicated artificial intelligences and has a function to find compatible partners.

[0909] terminal

[0910] The device has the function of collecting the user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data, and sending it to a server.

[0911] The terminal displays reports sent from the server, allowing users to review them.

[0912] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[0913] Users input data on their hobbies, preferences, and personality, and provide daily activity data and emotional data.

[0914] Emotional Engine

[0915] The emotion engine has the function of recognizing the user's emotions and collecting emotional data.

[0916] The emotion engine analyzes emotional data and sends the results to a dedicated artificial intelligence.

[0917] Overview of Program Processing

[0918] First, users download and launch the application on their smartphone or computer. Users enter information such as their name, age, gender, hobbies, and preferences, and the device collects this information and sends it to the server as JSON data. The server stores the received information in a database and generates a dedicated artificial intelligence and emotion engine.

[0919] In daily life, the device recognizes the user's daily actions and emotions through an emotion engine, collects this data, and periodically sends it to a server. For example, if the emotion engine recognizes that the user is "happy" while listening to music, that data is sent to the server. The server stores this emotion data in a database, and a dedicated artificial intelligence learns from that data.

[0920] The device also collects data on the user's daily activities (e.g., reading history, travel history, music playback history) and sends it to the server. Based on this data, artificial intelligence on the server learns the user's hobbies, preferences, and personality. For example, data such as "the user is reading a specific book" or "the user posted photos from a travel destination" is sent to the server.

[0921] Subsequently, the server provides a virtual space where dedicated AIs can interact with each other. These AIs exchange information with other users' AIs and evaluate compatibility, taking emotional data into account. For example, "User A's AI" interacts with "User B's AI," analyzing not only common hobbies and preferences but also similarities in emotional responses.

[0922] Ultimately, the server's dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated artificial intelligences. Once it finds the most compatible partner, it generates a report and sends it to the terminal. For example, if "User A's artificial intelligence" determines that it is compatible with "User B's artificial intelligence," a report is sent to User A stating that "there are many points of agreement in emotional responses."

[0923] Examples of specific cases and prompt statements

[0924] As a concrete example, consider a case where a user named "Taro Yamada" inputs information such as being 28 years old, male, and enjoying reading and traveling. This information is stored on the server, and a dedicated artificial intelligence and emotion engine are generated.

[0925] Examples of prompt statements to use:

[0926] "Please enter your name, age, gender, and information about your hobbies and interests. Next, we will collect and submit your daily behavioral data and emotional data. The system will then perform a compatibility assessment and report who you are most compatible with."

[0927] In this way, users can receive highly accurate compatibility evaluations that take emotional data into consideration. With the server, terminal, and user each fulfilling their respective roles, this system also contributes to solving the problem of the declining birthrate.

[0928] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0929] Step 1: User Registration

[0930] user:

[0931] Download the application to your smartphone or computer and launch it.

[0932] Enter your name, age, gender, and information about your hobbies and interests.

[0933] Input: Information about the user's name, age, gender, hobbies, and interests.

[0934] Terminal:

[0935] The system collects information entered by the user and sends it to the server as data in JSON format.

[0936] Specific operation: The app on the device collects input data via a browser form and sends an HTTP POST request to the server.

[0937] Output: JSON data of user information sent to the server.

[0938] server:

[0939] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[0940] Specific operation: The server inserts the user profile into the database and then performs initial setup of the AI ​​model to generate an AI agent corresponding to the user.

[0941] Output: User information stored in the database and the generated artificial intelligence and emotion engine.

[0942] Step 2: Collect and learn emotional data

[0943] Terminal:

[0944] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[0945] The collected emotional data is sent to the server at regular intervals.

[0946] Input: User emotional information from everyday life.

[0947] Specific operation: The device's emotion engine uses the microphone and camera sensors to analyze emotion data in real time and periodically sends the results in batches.

[0948] Output: Sentiment data sent to the server.

[0949] server:

[0950] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[0951] Specific operation: The server stores the emotion data in the appropriate table, and the AI ​​module updates its parameters based on the new data.

[0952] Output: Updated AI parameters.

[0953] Step 3: Dedicated AI learning

[0954] Terminal:

[0955] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[0956] The collected data is sent to the server.

[0957] Input: Daily activity data.

[0958] Specific operation: The device collects the user's app usage history, GPS data, and media playback history as logs and periodically uploads them to a server via HTTPS.

[0959] Output: Activity data sent to the server.

[0960] server:

[0961] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[0962] Specific operation: Activity data stored in a database is input into a machine learning algorithm, and user characteristics are learned using regression analysis and clustering.

[0963] Output: Updated user profile based on training results.

[0964] Step 4: Interaction between dedicated AIs

[0965] server:

[0966] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[0967] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[0968] Input: Profile data of trained artificial intelligences.

[0969] Specific operation: The server creates instances to simulate the virtual space, and a dedicated AI exchanges information via an API.

[0970] Output: Evaluation data obtained from information exchange and interaction.

[0971] Step 5: Compatibility assessment and report creation

[0972] server:

[0973] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[0974] Once it finds the most compatible partner, it generates a report and sends it to the device.

[0975] Input: Evaluation data and sentiment data obtained from interactions.

[0976] Specific operation: The compatibility determination algorithm calculates the results considering the emotional data and activity history in the database, generates a report in PDF or HTML format, and sends it to the terminal as an HTTP response.

[0977] Output: The generated report.

[0978] Terminal:

[0979] Notify users of received reports so they can review them.

[0980] Specific operation: The terminal app receives a new report notification from the server and displays it as a pop-up on the screen.

[0981] Output: A report that users can view.

[0982] (Application Example 2)

[0983] 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."

[0984] Traditional systems could find partners based on users' hobbies, preferences, and personalities, but they lacked compatibility assessments that reflected emotional data, making it difficult to determine compatibility at a deeper level. Furthermore, real-time compatibility assessments based on user interactions were also challenging. Therefore, there is a need for a system that enables comprehensive compatibility assessments that include users' emotions and daily activity data.

[0985] 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.

[0986] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze personality information with other user-dedicated artificial intelligences; means for providing information on other users who are judged to be compatible based on the analysis results; means for using an emotion engine to collect emotion data from individual users, analyze the emotion data, and provide it to the dedicated artificial intelligence; and means for the user-dedicated artificial intelligence to interact with other user-dedicated artificial intelligences in real time within a virtual space to determine compatibility. This makes it possible to make a comprehensive compatibility determination that reflects the user's emotions and daily activities.

[0987] An "individual user" refers to an individual user who has their own unique profile and information when using a particular service or system.

[0988] A "dedicated artificial intelligence" is an artificial intelligence system that responds to individual users, learns their hobbies, preferences, and personality, and provides the most suitable service.

[0989] "Hobbies and preferences" refer to a user's likes and interests regarding specific activities, things, or objects.

[0990] "Personality" refers to the characteristics that describe a user's behavioral, thought, and emotional tendencies.

[0991] "Interaction" refers to the act of dedicated artificial intelligences exchanging information and using each other's data for analysis.

[0992] "Personality information" refers to data and characteristics that indicate a user's personality.

[0993] "Analysis" refers to a series of processes that involve thoroughly analyzing collected data and converting it into meaningful information.

[0994] "Information on other users deemed to be a good match" refers to information about other users who, based on the analysis results, have been identified as potential partners for a particular user.

[0995] "Emotional data" refers to data that represents a user's emotions in their daily life, including emotions such as "happy," "sad," and "angry."

[0996] An "emotion engine" is software or hardware that recognizes a user's emotions and collects and analyzes emotional data.

[0997] A "virtual space" is a 3D simulated environment built on a computer system that users can visually experience.

[0998] "Real-time interaction" refers to the instantaneous exchange of information and interaction between dedicated artificial intelligences.

[0999] "Compatibility assessment" is a process that evaluates how well a particular user is compatible with other users, based on collected data and analysis results.

[1000] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. The following describes in detail how each element interacts and performs data processing and calculations.

[1001] server

[1002] The server plays a central role in the system and includes the following:

[1003] User information management: The server generates an artificial intelligence dedicated to each individual user and maintains a database that learns the user's hobbies, preferences, and personality.

[1004] Collection and analysis of emotional data: Emotional data sent from the emotion engine is received and analyzed. A dedicated artificial intelligence uses this emotional data to learn the user's emotional state.

[1005] Virtual space management: Provides an environment where a dedicated artificial intelligence interacts with other dedicated artificial intelligences in real time within the virtual space and performs compatibility assessments.

[1006] Compatibility assessment and report generation: Based on the collected data, compatibility assessments are performed, and reports are generated to notify the user of the results.

[1007] terminal

[1008] The terminal is responsible for the interface with the user and includes the following means:

[1009] Data Collection: The system collects users' daily activity data (reading history, travel history, music playback history, etc.) and emotional data via an emotion engine and sends them to the server.

[1010] Notifications and Display: Receive compatibility assessment reports sent from the server and notify the user. Users can view the reports on their devices.

[1011] user

[1012] A user is a user of the system, and this includes the following:

[1013] Profile Registration: Enter your name, age, gender, and information about your hobbies and interests into the device. This data is sent to the server, and a personalized artificial intelligence is generated for you.

[1014] Emotional Data Provision: The emotion engine recognizes and collects data on emotions experienced in daily life. Users can provide data to the system naturally without requiring any special actions.

[1015] Specific example

[1016] For example, when a user enters profile data such as "Taro, 28 years old, male, loves reading and traveling," that information is stored on the server. The server generates a dedicated artificial intelligence that learns the user's hobbies, preferences, and personality. Also, when the emotion engine recognizes the emotion "enjoyment" while the user is listening to music, that data is sent to the server, and the dedicated artificial intelligence learns from it.

[1017] Example of a prompt

[1018] Examples of prompts for providing feedback to a generative AI model are as follows:

[1019] In this virtual dating platform, compatibility is determined using a user-specific artificial intelligence and emotion engine. Please describe the process of matching users with each other using the user's profile data (e.g., 28 years old, male, hobbies: reading and traveling). Please detail how the information and emotion data entered by the user are collected and sent to the server, and explain the process of generating a report of compatible users.

[1020] This invention allows users to receive a comprehensive compatibility assessment that reflects their emotions and daily activities, making it more likely that they will find their ideal partner.

[1021] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1022] Step 1:

[1023] The user enters profile information from their device. They input data such as name, age, gender, and hobbies / interests into the device, and then the device sends this information to the server. The entered data is sent to the server in JSON format. The server receives this data and stores it in its database.

[1024] Step 2:

[1025] The server generates a dedicated artificial intelligence (AI) based on the user's profile information. The generated AI performs initial setup to learn the user's hobbies, preferences, and personality. This learning process involves building the user's profile based on input data and updating it according to subsequent activity and emotional data.

[1026] Step 3:

[1027] The emotion engine collects user emotion data in real time. The emotion engine uses voice analysis and biosensors to identify the user's emotions and transmits this data to the device. The device periodically sends this data back to the server.

[1028] Step 4:

[1029] The server analyzes the received emotional data. Machine learning algorithms are used for the analysis, quantifying the user's emotional state and feeding it back to a dedicated artificial intelligence. This analysis data is stored in a database and used for future compatibility assessments.

[1030] Step 5:

[1031] A dedicated artificial intelligence updates the user's profile based on collected emotional and activity data. This creates a profile that reflects the user's latest interests, preferences, personality, and emotional state. This profile is used to determine compatibility with other users.

[1032] Step 6:

[1033] Dedicated artificial intelligences interact with each other within a virtual space. The server provides an environment where a user's dedicated AI can interact in real time with other users' dedicated AIs within the virtual space. Based on the data acquired through these interactions, the dedicated AI determines its compatibility with other users.

[1034] Step 7:

[1035] The compatibility assessment results are generated as a report. The server uses the collected data and compatibility assessment algorithm to evaluate the compatibility between the user and other users and generates a report. This report is used to notify the user of the best partner.

[1036] Step 8:

[1037] The generated report is sent to the user's terminal. The terminal receives the report sent from the server and notifies the user. The user can then view the contents of the report via the terminal.

[1038] Through these steps, users can receive a comprehensive compatibility assessment that reflects their emotional data and daily activities, giving them the opportunity to find a more suitable partner.

[1039] 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.

[1040] 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 those described above. 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 shown 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.

[1041] 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.

[1042] [Third Embodiment]

[1043] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1044] 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.

[1045] 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).

[1046] 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.

[1047] 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.

[1048] 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).

[1049] 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.

[1050] 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.

[1051] 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.

[1052] 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.

[1053] 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.

[1054] 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".

[1055] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. This system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[1056] System Configuration

[1057] server

[1058] It has a database that manages user profiles.

[1059] We provide a platform for generating and learning proprietary artificial intelligence and executing compatibility determination algorithms.

[1060] It has a function to manage interactions between dedicated AIs and find compatible partners.

[1061] terminal

[1062] It has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to the server.

[1063] Display the reports sent from the server so that users can review them.

[1064] user

[1065] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[1066] Users input data about their hobbies, preferences, and personality, and then provide activity data.

[1067] Program processing

[1068] 1. User Registration

[1069] user:

[1070] Download and launch the terminal application.

[1071] Upon first launch, you will be asked to enter information about your name, age, gender, and hobbies / interests.

[1072] Terminal:

[1073] The system receives information entered by the user and sends it to the server as data in JSON format.

[1074] server:

[1075] The system stores the received user information in a database and generates a dedicated artificial intelligence.

[1076] Specific example: If a user enters "Taro Yamada, 28 years old, male, likes reading, likes traveling," that information is sent to the server, and a dedicated artificial intelligence is generated.

[1077] 2. Dedicated AI learning

[1078] Terminal:

[1079] The system collects data on users' daily activities (such as reading records, travel diaries, and music playback history).

[1080] This data is sent to the server periodically.

[1081] server:

[1082] The collected data is received and stored in the database.

[1083] The dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the data it receives.

[1084] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from their trip to Spain" is sent from the device to the server.

[1085] 3. Interaction between dedicated AIs

[1086] server:

[1087] It provides a virtual space where dedicated artificial intelligences can interact with each other on a regular basis.

[1088] The dedicated artificial intelligence exchanges information with other AIs and evaluates their compatibility.

[1089] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI" and analyzes commonalities in hobbies and preferences.

[1090] 4. Compatibility assessment and report creation

[1091] server:

[1092] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[1093] When a compatible partner is found, a report is generated and sent to the device.

[1094] Terminal:

[1095] The system displays received reports to users and provides information about compatible partners.

[1096] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," generates a report stating "It seems you and Sato Hanako have similar hobbies," and notifies Yamada Taro.

[1097] This allows users to efficiently meet compatible partners while going about their daily lives, contributing to a fundamental solution to the declining birthrate problem.

[1098] The following describes the processing flow.

[1099] Step 1:

[1100] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[1101] Step 2:

[1102] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[1103] Step 3:

[1104] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[1105] Step 4:

[1106] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It then generates a dedicated artificial intelligence and sets the user information as its initial profile.

[1107] Step 5:

[1108] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.). The device sends this data to the server at regular intervals.

[1109] Step 6:

[1110] The server stores the received activity data in a database, and a dedicated artificial intelligence (AI) uses this data to learn the user's hobbies, preferences, and personality. The server updates the AI's profile using machine learning algorithms.

[1111] Step 7:

[1112] The server manages the interactions between the dedicated artificial intelligences. It provides a virtual space where the dedicated AIs can interact on a regular basis and conduct one-on-one interaction sessions.

[1113] Step 8:

[1114] The dedicated AI exchanges information with other AIs, analyzing their common interests and differences. The server executes a compatibility assessment algorithm and calculates a compatibility score between each AI.

[1115] Step 9:

[1116] The server finds the most compatible partner based on compatibility scores. It generates a report of the results and sends that report to each user's device.

[1117] Step 10:

[1118] The device notifies the user of the received report. The user can then review the report within the app and view the profile information of compatible partners.

[1119] Step 11:

[1120] The user selects an action such as "like" or "send a message." The device receives the user's action and sends that information to the server.

[1121] Step 12:

[1122] The server records user action information in a database, and when a match is made with a specific person, it unlocks communication functions such as messaging.

[1123] (Example 1)

[1124] 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."

[1125] In modern society, the declining birthrate is a serious social problem. In particular, the current situation makes it difficult to find a compatible partner efficiently due to limited opportunities for meeting people. To solve this problem, a system is needed that deeply understands users' hobbies, preferences, and personalities, and effectively finds compatible partners.

[1126] 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.

[1127] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze individual information with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to efficiently find compatible partners based on the user's hobbies, preferences, and personality.

[1128] A "user" refers to an individual person who uses the system.

[1129] A "personalized artificial intelligence" refers to an artificial intelligence that is individually assigned to a user, learns the user's hobbies, preferences, and personality, and provides various forms of support for that user.

[1130] "Hobbies and preferences" refer to the activities that users enjoy doing on a daily basis and the things they are interested in.

[1131] "Personality" refers to stable characteristics and attributes related to a user's behavior and way of thinking.

[1132] "Virtual space" refers to a digital environment where dedicated artificial intelligences exchange information and interact with each other.

[1133] A "compatibility assessment algorithm" refers to a calculation method or process used to evaluate compatibility between multiple artificial intelligences based on user information.

[1134] A "report" refers to a report generated as a result of a compatibility assessment algorithm, which contains information about compatible partners.

[1135] "Terminal" refers to electronic devices such as smartphones and personal computers used by users.

[1136] A "server" refers to a centralized computing system that manages data and generates and trains its own dedicated artificial intelligence.

[1137] "Personalized information" refers to specific data about the user (e.g., hobbies, preferences, personality, behavioral history, etc.).

[1138] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[1139] System Configuration

[1140] server

[1141] The server has a database that manages user profiles. It provides a platform for generating and training dedicated artificial intelligence and executing compatibility determination algorithms. It also has a function to manage interactions between dedicated artificial intelligences and find compatible partners.

[1142] terminal

[1143] The device has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to a server. It also displays reports sent from the server for the user to review.

[1144] user

[1145] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers. Users input data about their hobbies, preferences, and personality, and provide activity data.

[1146] Examples of specific cases and prompt statements

[1147] For example, if a user enters "Taro Yamada, 28 years old, male, loves reading and traveling," this information is sent to the server, and a dedicated artificial intelligence is generated. Furthermore, when data such as "reading Harry Potter" or "posted photos from a trip to Spain" is sent from the device to the server, the dedicated AI learns from this information. Then, "Taro Yamada's AI" determines that it is compatible with "Hanako Sato's AI," and a report stating "You seem to have similar hobbies to Hanako Sato" is generated and notified to Taro Yamada's device, allowing the user to efficiently find compatible partners.

[1148] Examples of prompts to input into a generative AI model

[1149] Examples of prompt messages are as follows:

[1150] "Based on the following information, please create a description of the user's personalized AI. Include specific examples from the user's past behavioral data, such as name, age, gender, hobbies, and preferences, and describe in detail the process by which the user efficiently finds compatible partners through this system."

[1151] As described above, in order to implement this invention, it is important to establish a process that links a server, a terminal, and a dedicated artificial intelligence to find a compatible partner based on user data.

[1152] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1153] Step 1:

[1154] User Registration

[1155] user:

[1156] Download and launch the application.

[1157] Upon first launch, you will be asked to enter information such as your name, age, gender, hobbies, and interests.

[1158] Terminal:

[1159] The system receives the input information and sends it to the server as JSON data.

[1160] server:

[1161] Receive data in JSON format and save it to the user database.

[1162] Based on the received data, it generates an artificial intelligence system that is dedicated to the user.

[1163] Inputs and outputs:

[1164] Input: User's personal information (e.g., name, age, gender, hobbies, interests, etc.)

[1165] Output: A database containing user information, and a dedicated artificial intelligence.

[1166] Specific actions:

[1167] When a user enters information such as "Taro Yamada, 28 years old, male, loves reading, loves traveling," the device converts it into JSON format and sends it to the server. The server receives this information, stores it in a database, and generates a dedicated artificial intelligence.

[1168] Step 2:

[1169] Collection and transmission of daily activity data

[1170] Terminal:

[1171] The system continuously collects data on users' daily activities (e.g., reading history, travel history, music playback history, etc.).

[1172] These data are sent to the server at regular intervals.

[1173] server:

[1174] The system receives the submitted behavioral data and saves it to the user database.

[1175] A dedicated artificial intelligence uses this data to further learn the user's hobbies, preferences, and personality.

[1176] Inputs and outputs:

[1177] Input: User's daily activity data (e.g., recently read books, places visited, music played history)

[1178] Output: Updated training data for the dedicated artificial intelligence.

[1179] Specific actions:

[1180] When a user performs actions such as "finishing reading Harry Potter" or "uploading photos from a trip to Spain," the device collects this behavioral data and sends it to a server. The server updates its database, and a dedicated artificial intelligence learns from the new data.

[1181] Step 3:

[1182] Interaction between dedicated AIs

[1183] server:

[1184] It provides a virtual space where dedicated artificial intelligences can interact with each other at regular intervals.

[1185] Through interaction, it exchanges information with other artificial intelligences and analyzes common hobbies and preferences.

[1186] Inputs and outputs:

[1187] Input: Information exchanged between dedicated AI systems (e.g., user's hobbies and preferences, behavioral history, etc.)

[1188] Output: Compatibility evaluation data with other users

[1189] Specific actions:

[1190] "Yamada Taro's AI" interacts with "Sato Hanako's AI" in a virtual space, exchanging information about their hobbies and preferences to analyze their compatibility.

[1191] Step 4:

[1192] Compatibility assessment and report creation

[1193] server:

[1194] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[1195] If compatibility is determined, a detailed report will be generated and sent to the device.

[1196] Terminal:

[1197] The system displays received reports to users and provides information about compatible partners.

[1198] Inputs and outputs:

[1199] Input: Evaluation results from the compatibility determination algorithm

[1200] Output: A report containing information about compatible partners.

[1201] Specific actions:

[1202] If the AI ​​for Taro Yamada determines that it is very compatible with the AI ​​for Hanako Sato, the server generates a report stating, "It seems you and Hanako Sato have similar hobbies," and notifies Taro Yamada's terminal.

[1203] This allows users to efficiently find compatible partners.

[1204] (Application Example 1)

[1205] 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."

[1206] One contributing factor to the declining birthrate is the decrease in opportunities for young people to meet each other. Traditional matchmaking systems often fail to adequately consider users' hobbies, preferences, and personalities, and even at events, it's difficult to find a compatible partner. As a result, successful encounters are less likely, and this issue has not led to a fundamental solution to the declining birthrate.

[1207] 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.

[1208] In this invention, the server is

[1209] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[1210] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[1211] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[1212] A means of generating compatibility reports for events in which users participate,

[1213] This includes increasing the opportunities for users to meet compatible partners at in-store events, enabling more efficient matchmaking.

[1214] A "user" is an individual who utilizes this system and possesses their own dedicated artificial intelligence.

[1215] A "dedicated artificial intelligence" is an artificial intelligence that is dedicated to an individual user and learns that user's hobbies, preferences, and personality.

[1216] "Hobbies, preferences, and personality" refers to the user's interests, preferences, and personality traits, which are the subjects of learning for the dedicated artificial intelligence.

[1217] "Interaction" refers to the exchange of information between dedicated artificial intelligences in a virtual space, followed by comparison and analysis.

[1218] "Personality information" refers to information based on the user's hobbies, preferences, and personality, and is the subject of comparison and analysis by the dedicated AIs through interaction.

[1219] An "event" refers to a gathering or activity held at a physical store that a user wishes to participate in.

[1220] A "compatibility report" refers to a report that includes information about compatible partners and common topics of conversation at events in which a user participates.

[1221] "Activity data" refers to data related to a user's daily activities, including reading history, travel history, and music playback history.

[1222] A "server" refers to a platform that generates and trains dedicated artificial intelligence, manages data, and provides analysis results.

[1223] This invention is a system that provides opportunities for men and women to meet, using artificial intelligence (AI) that is individually assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[1224] System Configuration

[1225] server

[1226] The server has the following functions:

[1227] 1. User profile management function

[1228] The system stores user information such as name, age, gender, hobbies, and preferences in a database.

[1229] 2. Generation and learning of a dedicated artificial intelligence

[1230] A generative AI model is used to generate a dedicated AI for each user.

[1231] The AI ​​learns based on user activity data.

[1232] 3. Execution of the compatibility determination algorithm

[1233] It manages interactions between dedicated AIs and executes an algorithm to determine compatibility.

[1234] 4. Generating a compatibility report

[1235] Based on the interaction results between dedicated AIs in a virtual space, a compatibility report is generated and provided to the user.

[1236] As a concrete example, the server utilizes activity data such as the user's "reading history" and "travel history."

[1237] terminal

[1238] The device has the following features:

[1239] 1. User registration and initial setup

[1240] There is a feature that allows users to input information to generate a dedicated AI.

[1241] 2. Collection of daily activity data

[1242] The system collects users' daily activity data (e.g., reading history, travel history, music playback history, etc.) and periodically sends it to the server.

[1243] 3. Event Recommendation and Registration

[1244] We recommend events held at physical stores based on users' interests.

[1245] 4. Displaying the compatibility report

[1246] Display the compatibility report sent from the server to the user.

[1247] As a concrete example, the device displays event information for the user, such as "a cafe reading group" or "a bar for conversation."

[1248] user

[1249] The user will take the following actions:

[1250] 1. User Registration

[1251] We provide the information necessary to generate a dedicated AI using devices such as smartphones and personal computers.

[1252] 2. Provision of daily activity data

[1253] Activity data is sent to the server via the device to assist the dedicated AI in learning.

[1254] 3. Event participation

[1255] Participate in events at recommended physical stores and meet someone compatible with you.

[1256] 4. Check the compatibility report

[1257] Review the compatibility report sent from the server and decide whether to participate in the event.

[1258] Program Processing Description

[1259] The server manages user information using programming languages ​​such as Python and a database management system (e.g., PostgreSQL). Generative AI models are built using machine learning frameworks such as TensorFlow and PyTorch. User activity data is sent from the terminal to the server in JSON format. Furthermore, the compatibility determination algorithm analyzes data obtained from interactions between dedicated AIs, based on the user's hobbies, preferences, and personality data. Interactions between dedicated AIs take place periodically in a virtual space, and the data from these interactions is stored on the server.

[1260] For example, if a user expresses interest in joining a "cafe reading group," the server will determine their compatibility with other related users' personal AIs and generate a compatibility report that includes a shared interest in reading. The generated report is sent to the user's device and displayed to them.

[1261] Example prompts for generative AI models:

[1262] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[1263] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1264] Step 1:

[1265] User Registration

[1266] Input: Users download the application on their smartphone or computer and enter information such as their name, age, gender, and interests.

[1267] Processing: The terminal sends this information to the server in JSON format.

[1268] Output: The server stores the received information in a database and generates a dedicated artificial intelligence (AI) profile.

[1269] Step 2:

[1270] Initial setup

[1271] Input: A dedicated AI profile sent from the server.

[1272] Processing: After the dedicated AI is generated, the server performs initial setup using the generated AI model, setting the initial state of the AI ​​based on the user's basic information.

[1273] Output: A pre-configured, dedicated AI is assigned to the user.

[1274] Step 3:

[1275] Collection of daily activity data

[1276] Input: User's daily activity data (e.g., reading history, travel history, music playback history)

[1277] Processing: The device periodically collects this data, and once a certain amount has accumulated, it sends the data to the server in JSON format.

[1278] Output: The server saves the received data to the database and updates the AI's training data.

[1279] Step 4:

[1280] Dedicated AI learning

[1281] Input: User's daily activity data stored on the server.

[1282] Processing: The server's generated AI model uses this data to train its dedicated AI. For example, it analyzes patterns such as what kind of books users read or where they travel.

[1283] Output: A dedicated AI is generated, updated based on the training data.

[1284] Step 5:

[1285] Event Recommendation

[1286] Input: User's hobby and preference data.

[1287] Processing: Based on this data, the device retrieves relevant in-store events (e.g., cafe book clubs, bar social events) from the server and recommends them to the user.

[1288] Output: Displays recommended event information to the user.

[1289] Step 6:

[1290] Event Registration

[1291] Input: User's willingness to participate in the recommended event.

[1292] Processing: The terminal sends registration information to the server. The server receives this information and begins determining compatibility with the dedicated AI of other related users.

[1293] Output: Event registration information stored on the server.

[1294] Step 7:

[1295] Interaction between dedicated AIs

[1296] Input: Registered event participation information and profile data for each dedicated AI.

[1297] Processing: The server allows dedicated AIs to exchange information in a virtual space, analyzing common interests, preferences, and compatibility.

[1298] Output: Compatibility data between dedicated AIs based on a compatibility determination algorithm.

[1299] Step 8:

[1300] Generating a compatibility report

[1301] Input: Compatibility data and interaction results between dedicated AIs.

[1302] Processing: The server uses an AI model to generate a compatibility report that is helpful when users participate in an event. The report includes shared hobbies and conversation starters for compatible partners.

[1303] Output: The generated compatibility report is sent to the device.

[1304] Step 9:

[1305] Display compatibility report

[1306] Input: Compatibility report sent from the server.

[1307] Processing: The device receives a compatibility report and displays it to the user. This allows the user to understand commonalities with compatible partners before participating in an event.

[1308] Output: The compatibility report is presented to the user for review.

[1309] This allows users to effectively find compatible partners. For example, users participating in a "cafe book club" can receive a compatibility report that includes conversation starters, such as topics related to specific books.

[1310] Example prompts for generative AI models:

[1311] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[1312] 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.

[1313] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment. The following describes a specific embodiment of the system.

[1314] System Configuration

[1315] server

[1316] It has a database that manages user profiles and sentiment data.

[1317] We provide a platform for generating, learning, executing compatibility determination algorithms, and processing data for emotion engines using dedicated artificial intelligence.

[1318] It has a function to manage interactions between dedicated AIs and find compatible partners.

[1319] terminal

[1320] It has the functionality to collect and send to a server user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data.

[1321] Display the reports sent from the server so that users can review them.

[1322] user

[1323] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[1324] Users input their hobbies, preferences, and personality data, and the system provides daily activity and emotional data.

[1325] Emotional Engine

[1326] It has the ability to recognize user emotions and collect emotional data.

[1327] It analyzes emotional data and sends the results to a dedicated artificial intelligence.

[1328] Program processing

[1329] 1. User Registration

[1330] user:

[1331] Download and launch the terminal application.

[1332] Enter your name, age, gender, and information about your hobbies and interests.

[1333] Terminal:

[1334] The system collects information entered by the user and sends it to the server as data in JSON format.

[1335] server:

[1336] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[1337] Specific example: If a user enters "Taro Yamada, 28 years old, male, loves reading, loves traveling," that data is saved on the server, and a dedicated artificial intelligence and emotion engine are generated.

[1338] 2. Collection and learning of emotional data

[1339] Terminal:

[1340] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[1341] The collected emotional data is sent to the server at regular intervals.

[1342] server:

[1343] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[1344] Specific example: When a user is listening to music, the emotion engine recognizes the emotion of "happiness" and sends that data to the server.

[1345] 3. Learning by the dedicated AI

[1346] Terminal:

[1347] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[1348] The collected data is sent to the server.

[1349] server:

[1350] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[1351] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from a trip to Spain" is sent to the server.

[1352] 4. Interaction between dedicated AIs

[1353] server:

[1354] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[1355] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[1356] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI," analyzing not only their shared hobbies and preferences but also commonalities in their emotional responses.

[1357] 5. Compatibility assessment and report creation

[1358] server:

[1359] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[1360] Once it finds the most compatible partner, it generates a report and sends it to the device.

[1361] Terminal:

[1362] Notify users of received reports so they can review them.

[1363] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," and a report is sent to Yamada Taro stating that "there are many points of agreement in emotional responses."

[1364] This allows users to receive efficient compatibility assessments that take into account emotions such as joy and excitement while going about their daily lives, giving them the opportunity to meet their ideal partner. This system will also contribute to a fundamental solution to the declining birthrate problem.

[1365] The following describes the processing flow.

[1366] Step 1:

[1367] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[1368] Step 2:

[1369] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[1370] Step 3:

[1371] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[1372] Step 4:

[1373] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It generates a dedicated artificial intelligence and emotion engine and sets the user information as the initial profile.

[1374] Step 5:

[1375] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and emotional data. The device's emotional engine recognizes the user's emotions in real time and collects the data.

[1376] Step 6:

[1377] The device sends collected activity and emotion data to the server at regular intervals.

[1378] Step 7:

[1379] The server stores the received activity and emotion data in a database. A dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the received data, and updates the profile while also considering the emotion data.

[1380] Step 8:

[1381] The server schedules regular interaction sessions between its dedicated artificial intelligences, allowing them to communicate within the virtual space.

[1382] Step 9:

[1383] The dedicated AI exchanges information with other AIs, analyzing common interests, preferences, and emotional data. The server's compatibility algorithm calculates the compatibility between each AI, taking emotional data into account.

[1384] Step 10:

[1385] The server finds compatible partners and generates a report based on those results. This report is then sent to each user's device.

[1386] Step 11:

[1387] The device notifies the user of received reports and displays them within the app. The user can then check the commonalities between the profile information and sentiment data of compatible partners.

[1388] Step 12:

[1389] The user selects an action such as "like" or "send a message." The device then sends the user's action to the server.

[1390] Step 13:

[1391] The server records user action information in a database, and when a match is made with a specific person, it unlocks messaging and other communication functions.

[1392] As a concrete example, when a user is listening to music, the emotion engine recognizes the emotion of "enjoyment" and sends it to the server, where a dedicated AI analyzes compatibility based on that data. As a result, the user is provided with a report that includes information such as "there are many points of agreement in emotional responses." In this way, users can receive efficient compatibility evaluations based on emotional data while going about their daily lives, and have the opportunity to meet their ideal partner.

[1393] (Example 2)

[1394] 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."

[1395] In modern society, the declining birthrate is a serious problem, partly due to people's inability to find suitable partners. However, conventional matching systems judge compatibility based only on data such as hobbies, preferences, and personality, and do not take emotional data into consideration, making it difficult to perform highly accurate compatibility assessments. Therefore, there is a need for a system that performs a comprehensive compatibility assessment including emotional data and provides more accurate partner candidates.

[1396] 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.

[1397] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for collecting and transmitting the user's daily activity data and emotional data to the server; means for analyzing the received emotional data and for the artificial intelligence to learn from that data; means for the dedicated artificial intelligences to interact with each other in a virtual space and compare and analyze information including emotional data with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to perform highly accurate compatibility evaluations that take emotional data into consideration.

[1398] A "user" refers to an individual who uses the system to input and provide data about their hobbies, preferences, and emotions.

[1399] A "dedicated artificial intelligence" refers to an artificial intelligence system that is exclusively assigned to a specific user and learns and analyzes that user's hobbies, preferences, personality, and emotional data.

[1400] "Activity data" refers to data that shows a user's daily behavioral history and behavioral patterns, including, for example, reading history, travel history, and music playback history.

[1401] "Emotional data" refers to data that quantifies or qualitatively records the emotions that users experience in their daily lives.

[1402] A "server" refers to a computing system that receives data sent by users, analyzes it, and stores it in a database.

[1403] A "database" is a data storage device connected to a server that stores various types of data collected from users and dedicated artificial intelligence.

[1404] An "emotion engine" is a general term for software and hardware that recognizes a user's emotions and collects and analyzes them as data.

[1405] "Compatibility evaluation" refers to the process by which a dedicated artificial intelligence evaluates its compatibility with other users' artificial intelligences.

[1406] "Virtual space" refers to a simulation environment where dedicated artificial intelligences exchange and analyze data.

[1407] A "report" refers to a report-style output generated to inform users of the results of the compatibility evaluation.

[1408] A "compatibility assessment algorithm" refers to a mathematical and logical method used by a dedicated artificial intelligence to calculate compatibility with other users based on the user's hobbies, preferences, personality, and emotional data.

[1409] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment.

[1410] System Configuration

[1411] server

[1412] The server has a database that manages user profiles and sentiment data.

[1413] The server provides a platform for generating, learning, executing compatibility determination algorithms, and processing data for the emotion engine, all for dedicated artificial intelligence.

[1414] The server manages interactions between dedicated artificial intelligences and has a function to find compatible partners.

[1415] terminal

[1416] The device has the function of collecting the user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data, and sending it to a server.

[1417] The terminal displays reports sent from the server, allowing users to review them.

[1418] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[1419] Users input data on their hobbies, preferences, and personality, and provide daily activity data and emotional data.

[1420] Emotional Engine

[1421] The emotion engine has the function of recognizing the user's emotions and collecting emotional data.

[1422] The emotion engine analyzes emotional data and sends the results to a dedicated artificial intelligence.

[1423] Overview of Program Processing

[1424] First, users download and launch the application on their smartphone or computer. Users enter information such as their name, age, gender, hobbies, and preferences, and the device collects this information and sends it to the server as JSON data. The server stores the received information in a database and generates a dedicated artificial intelligence and emotion engine.

[1425] In daily life, the device recognizes the user's daily actions and emotions through an emotion engine, collects this data, and periodically sends it to a server. For example, if the emotion engine recognizes that the user is "happy" while listening to music, that data is sent to the server. The server stores this emotion data in a database, and a dedicated artificial intelligence learns from that data.

[1426] The device also collects data on the user's daily activities (e.g., reading history, travel history, music playback history) and sends it to the server. Based on this data, artificial intelligence on the server learns the user's hobbies, preferences, and personality. For example, data such as "the user is reading a specific book" or "the user posted photos from a travel destination" is sent to the server.

[1427] Subsequently, the server provides a virtual space where dedicated AIs can interact with each other. These AIs exchange information with other users' AIs and evaluate compatibility, taking emotional data into account. For example, "User A's AI" interacts with "User B's AI," analyzing not only common hobbies and preferences but also similarities in emotional responses.

[1428] Ultimately, the server's dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated artificial intelligences. Once it finds the most compatible partner, it generates a report and sends it to the terminal. For example, if "User A's artificial intelligence" determines that it is compatible with "User B's artificial intelligence," a report is sent to User A stating that "there are many points of agreement in emotional responses."

[1429] Examples of specific cases and prompt statements

[1430] As a concrete example, consider a case where a user named "Taro Yamada" inputs information such as being 28 years old, male, and enjoying reading and traveling. This information is stored on the server, and a dedicated artificial intelligence and emotion engine are generated.

[1431] Examples of prompt statements to use:

[1432] "Please enter your name, age, gender, and information about your hobbies and interests. Next, we will collect and submit your daily behavioral data and emotional data. The system will then perform a compatibility assessment and report who you are most compatible with."

[1433] In this way, users can receive highly accurate compatibility evaluations that take emotional data into consideration. With the server, terminal, and user each fulfilling their respective roles, this system also contributes to solving the problem of the declining birthrate.

[1434] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1435] Step 1: User Registration

[1436] user:

[1437] Download the application to your smartphone or computer and launch it.

[1438] Enter your name, age, gender, and information about your hobbies and interests.

[1439] Input: Information about the user's name, age, gender, hobbies, and interests.

[1440] Terminal:

[1441] The system collects information entered by the user and sends it to the server as data in JSON format.

[1442] Specific operation: The app on the device collects input data via a browser form and sends an HTTP POST request to the server.

[1443] Output: JSON data of user information sent to the server.

[1444] server:

[1445] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[1446] Specific operation: The server inserts the user profile into the database and then performs initial setup of the AI ​​model to generate an AI agent corresponding to the user.

[1447] Output: User information stored in the database and the generated artificial intelligence and emotion engine.

[1448] Step 2: Collect and learn emotional data

[1449] Terminal:

[1450] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[1451] The collected emotional data is sent to the server at regular intervals.

[1452] Input: User emotional information from everyday life.

[1453] Specific operation: The device's emotion engine uses the microphone and camera sensors to analyze emotion data in real time and periodically sends the results in batches.

[1454] Output: Sentiment data sent to the server.

[1455] server:

[1456] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[1457] Specific operation: The server stores the emotion data in the appropriate table, and the AI ​​module updates its parameters based on the new data.

[1458] Output: Updated AI parameters.

[1459] Step 3: Dedicated AI learning

[1460] Terminal:

[1461] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[1462] The collected data is sent to the server.

[1463] Input: Daily activity data.

[1464] Specific operation: The device collects the user's app usage history, GPS data, and media playback history as logs and periodically uploads them to a server via HTTPS.

[1465] Output: Activity data sent to the server.

[1466] server:

[1467] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[1468] Specific operation: Activity data stored in a database is input into a machine learning algorithm, and user characteristics are learned using regression analysis and clustering.

[1469] Output: Updated user profile based on training results.

[1470] Step 4: Interaction between dedicated AIs

[1471] server:

[1472] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[1473] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[1474] Input: Profile data of trained artificial intelligences.

[1475] Specific operation: The server creates instances to simulate the virtual space, and a dedicated AI exchanges information via an API.

[1476] Output: Evaluation data obtained from information exchange and interaction.

[1477] Step 5: Compatibility assessment and report creation

[1478] server:

[1479] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[1480] Once it finds the most compatible partner, it generates a report and sends it to the device.

[1481] Input: Evaluation data and sentiment data obtained from interactions.

[1482] Specific operation: The compatibility determination algorithm calculates the results considering the emotional data and activity history in the database, generates a report in PDF or HTML format, and sends it to the terminal as an HTTP response.

[1483] Output: The generated report.

[1484] Terminal:

[1485] Notify users of received reports so they can review them.

[1486] Specific operation: The terminal app receives a new report notification from the server and displays it as a pop-up on the screen.

[1487] Output: A report that users can view.

[1488] (Application Example 2)

[1489] 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."

[1490] Traditional systems could find partners based on users' hobbies, preferences, and personalities, but they lacked compatibility assessments that reflected emotional data, making it difficult to determine compatibility at a deeper level. Furthermore, real-time compatibility assessments based on user interactions were also challenging. Therefore, there is a need for a system that enables comprehensive compatibility assessments that include users' emotions and daily activity data.

[1491] 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.

[1492] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze personality information with other user-dedicated artificial intelligences; means for providing information on other users who are judged to be compatible based on the analysis results; means for using an emotion engine to collect emotion data from individual users, analyze the emotion data, and provide it to the dedicated artificial intelligence; and means for the user-dedicated artificial intelligence to interact with other user-dedicated artificial intelligences in real time within a virtual space to determine compatibility. This makes it possible to make a comprehensive compatibility determination that reflects the user's emotions and daily activities.

[1493] An "individual user" refers to an individual user who has their own unique profile and information when using a particular service or system.

[1494] A "dedicated artificial intelligence" is an artificial intelligence system that responds to individual users, learns their hobbies, preferences, and personality, and provides the most suitable service.

[1495] "Hobbies and preferences" refer to a user's likes and interests regarding specific activities, things, or objects.

[1496] "Personality" refers to the characteristics that describe a user's behavioral, thought, and emotional tendencies.

[1497] "Interaction" refers to the act of dedicated artificial intelligences exchanging information and using each other's data for analysis.

[1498] "Personality information" refers to data and characteristics that indicate a user's personality.

[1499] "Analysis" refers to a series of processes that involve thoroughly analyzing collected data and converting it into meaningful information.

[1500] "Information on other users deemed to be a good match" refers to information about other users who, based on the analysis results, have been identified as potential partners for a particular user.

[1501] "Emotional data" refers to data that represents a user's emotions in their daily life, including emotions such as "happy," "sad," and "angry."

[1502] An "emotion engine" is software or hardware that recognizes a user's emotions and collects and analyzes emotional data.

[1503] A "virtual space" is a 3D simulated environment built on a computer system that users can visually experience.

[1504] "Real-time interaction" refers to the instantaneous exchange of information and interaction between dedicated artificial intelligences.

[1505] "Compatibility assessment" is a process that evaluates how well a particular user is compatible with other users, based on collected data and analysis results.

[1506] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. The following describes in detail how each element interacts and performs data processing and calculations.

[1507] server

[1508] The server plays a central role in the system and includes the following:

[1509] User information management: The server generates an artificial intelligence dedicated to each individual user and maintains a database that learns the user's hobbies, preferences, and personality.

[1510] Collection and analysis of emotional data: Emotional data sent from the emotion engine is received and analyzed. A dedicated artificial intelligence uses this emotional data to learn the user's emotional state.

[1511] Virtual space management: Provides an environment where a dedicated artificial intelligence interacts with other dedicated artificial intelligences in real time within the virtual space and performs compatibility assessments.

[1512] Compatibility assessment and report generation: Based on the collected data, compatibility assessments are performed, and reports are generated to notify the user of the results.

[1513] terminal

[1514] The terminal is responsible for the interface with the user and includes the following means:

[1515] Data Collection: The system collects users' daily activity data (reading history, travel history, music playback history, etc.) and emotional data via an emotion engine and sends them to the server.

[1516] Notifications and Display: Receive compatibility assessment reports sent from the server and notify the user. Users can view the reports on their devices.

[1517] user

[1518] A user is a user of the system, and this includes the following:

[1519] Profile Registration: Enter your name, age, gender, and information about your hobbies and interests into the device. This data is sent to the server, and a personalized artificial intelligence is generated for you.

[1520] Emotional Data Provision: The emotion engine recognizes and collects data on emotions experienced in daily life. Users can provide data to the system naturally without requiring any special actions.

[1521] Specific example

[1522] For example, when a user enters profile data such as "Taro, 28 years old, male, loves reading and traveling," that information is stored on the server. The server generates a dedicated artificial intelligence that learns the user's hobbies, preferences, and personality. Also, when the emotion engine recognizes the emotion "enjoyment" while the user is listening to music, that data is sent to the server, and the dedicated artificial intelligence learns from it.

[1523] Example of a prompt

[1524] Examples of prompts for providing feedback to a generative AI model are as follows:

[1525] In this virtual dating platform, compatibility is determined using a user-specific artificial intelligence and emotion engine. Please describe the process of matching users with each other using the user's profile data (e.g., 28 years old, male, hobbies: reading and traveling). Please detail how the information and emotion data entered by the user are collected and sent to the server, and explain the process of generating a report of compatible users.

[1526] This invention allows users to receive a comprehensive compatibility assessment that reflects their emotions and daily activities, making it more likely that they will find their ideal partner.

[1527] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1528] Step 1:

[1529] The user enters profile information from their device. They input data such as name, age, gender, and hobbies / interests into the device, and then the device sends this information to the server. The entered data is sent to the server in JSON format. The server receives this data and stores it in its database.

[1530] Step 2:

[1531] The server generates a dedicated artificial intelligence (AI) based on the user's profile information. The generated AI performs initial setup to learn the user's hobbies, preferences, and personality. This learning process involves building the user's profile based on input data and updating it according to subsequent activity and emotional data.

[1532] Step 3:

[1533] The emotion engine collects user emotion data in real time. The emotion engine uses voice analysis and biosensors to identify the user's emotions and transmits this data to the device. The device periodically sends this data back to the server.

[1534] Step 4:

[1535] The server analyzes the received emotional data. Machine learning algorithms are used for the analysis, quantifying the user's emotional state and feeding it back to a dedicated artificial intelligence. This analysis data is stored in a database and used for future compatibility assessments.

[1536] Step 5:

[1537] A dedicated artificial intelligence updates the user's profile based on collected emotional and activity data. This creates a profile that reflects the user's latest interests, preferences, personality, and emotional state. This profile is used to determine compatibility with other users.

[1538] Step 6:

[1539] Dedicated artificial intelligences interact with each other within a virtual space. The server provides an environment where a user's dedicated AI can interact in real time with other users' dedicated AIs within the virtual space. Based on the data acquired through these interactions, the dedicated AI determines its compatibility with other users.

[1540] Step 7:

[1541] The compatibility assessment results are generated as a report. The server uses the collected data and compatibility assessment algorithm to evaluate the compatibility between the user and other users and generates a report. This report is used to notify the user of the best partner.

[1542] Step 8:

[1543] The generated report is sent to the user's terminal. The terminal receives the report sent from the server and notifies the user. The user can then view the contents of the report via the terminal.

[1544] Through these steps, users can receive a comprehensive compatibility assessment that reflects their emotional data and daily activities, giving them the opportunity to find a more suitable partner.

[1545] 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.

[1546] 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 those described above. 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 shown 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.

[1547] 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.

[1548] [Fourth Embodiment]

[1549] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1550] 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.

[1551] 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).

[1552] 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.

[1553] 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.

[1554] 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).

[1555] 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.

[1556] 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.

[1557] 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.

[1558] 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.

[1559] 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.

[1560] 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.

[1561] 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".

[1562] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. This system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[1563] System Configuration

[1564] server

[1565] It has a database that manages user profiles.

[1566] We provide a platform for generating and learning proprietary artificial intelligence and executing compatibility determination algorithms.

[1567] It has a function to manage interactions between dedicated AIs and find compatible partners.

[1568] terminal

[1569] It has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to the server.

[1570] Display the reports sent from the server so that users can review them.

[1571] user

[1572] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[1573] Users input data about their hobbies, preferences, and personality, and then provide activity data.

[1574] Program processing

[1575] 1. User Registration

[1576] user:

[1577] Download and launch the terminal application.

[1578] Upon first launch, you will be asked to enter information about your name, age, gender, and hobbies / interests.

[1579] Terminal:

[1580] The system receives information entered by the user and sends it to the server as data in JSON format.

[1581] server:

[1582] The system stores the received user information in a database and generates a dedicated artificial intelligence.

[1583] Specific example: If a user enters "Taro Yamada, 28 years old, male, likes reading, likes traveling," that information is sent to the server, and a dedicated artificial intelligence is generated.

[1584] 2. Dedicated AI learning

[1585] Terminal:

[1586] The system collects data on users' daily activities (such as reading records, travel diaries, and music playback history).

[1587] This data is sent to the server periodically.

[1588] server:

[1589] The collected data is received and stored in the database.

[1590] The dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the data it receives.

[1591] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from their trip to Spain" is sent from the device to the server.

[1592] 3. Interaction between dedicated AIs

[1593] server:

[1594] It provides a virtual space where dedicated artificial intelligences can interact with each other on a regular basis.

[1595] The dedicated artificial intelligence exchanges information with other AIs and evaluates their compatibility.

[1596] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI" and analyzes commonalities in hobbies and preferences.

[1597] 4. Compatibility assessment and report creation

[1598] server:

[1599] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[1600] When a compatible partner is found, a report is generated and sent to the device.

[1601] Terminal:

[1602] The system displays received reports to users and provides information about compatible partners.

[1603] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," generates a report stating "It seems you and Sato Hanako have similar hobbies," and notifies Yamada Taro.

[1604] This allows users to efficiently meet compatible partners while going about their daily lives, contributing to a fundamental solution to the declining birthrate problem.

[1605] The following describes the processing flow.

[1606] Step 1:

[1607] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[1608] Step 2:

[1609] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[1610] Step 3:

[1611] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[1612] Step 4:

[1613] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It then generates a dedicated artificial intelligence and sets the user information as its initial profile.

[1614] Step 5:

[1615] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.). The device sends this data to the server at regular intervals.

[1616] Step 6:

[1617] The server stores the received activity data in a database, and a dedicated artificial intelligence (AI) uses this data to learn the user's hobbies, preferences, and personality. The server updates the AI's profile using machine learning algorithms.

[1618] Step 7:

[1619] The server manages the interactions between the dedicated artificial intelligences. It provides a virtual space where the dedicated AIs can interact on a regular basis and conduct one-on-one interaction sessions.

[1620] Step 8:

[1621] The dedicated AI exchanges information with other AIs, analyzing their common interests and differences. The server executes a compatibility assessment algorithm and calculates a compatibility score between each AI.

[1622] Step 9:

[1623] The server finds the most compatible partner based on compatibility scores. It generates a report of the results and sends that report to each user's device.

[1624] Step 10:

[1625] The device notifies the user of the received report. The user can then review the report within the app and view the profile information of compatible partners.

[1626] Step 11:

[1627] The user selects an action such as "like" or "send a message." The device receives the user's action and sends that information to the server.

[1628] Step 12:

[1629] The server records user action information in a database, and when a match is made with a specific person, it unlocks communication functions such as messaging.

[1630] (Example 1)

[1631] 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".

[1632] In modern society, the declining birthrate is a serious social problem. In particular, the current situation makes it difficult to find a compatible partner efficiently due to limited opportunities for meeting people. To solve this problem, a system is needed that deeply understands users' hobbies, preferences, and personalities, and effectively finds compatible partners.

[1633] 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.

[1634] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze individual information with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to efficiently find compatible partners based on the user's hobbies, preferences, and personality.

[1635] A "user" refers to an individual person who uses the system.

[1636] A "personalized artificial intelligence" refers to an artificial intelligence that is individually assigned to a user, learns the user's hobbies, preferences, and personality, and provides various forms of support for that user.

[1637] "Hobbies and preferences" refer to the activities that users enjoy doing on a daily basis and the things they are interested in.

[1638] "Personality" refers to stable characteristics and attributes related to a user's behavior and way of thinking.

[1639] "Virtual space" refers to a digital environment where dedicated artificial intelligences exchange information and interact with each other.

[1640] A "compatibility assessment algorithm" refers to a calculation method or process used to evaluate compatibility between multiple artificial intelligences based on user information.

[1641] A "report" refers to a report generated as a result of a compatibility assessment algorithm, which contains information about compatible partners.

[1642] "Terminal" refers to electronic devices such as smartphones and personal computers used by users.

[1643] A "server" refers to a centralized computing system that manages data and generates and trains its own dedicated artificial intelligence.

[1644] "Personalized information" refers to specific data about the user (e.g., hobbies, preferences, personality, behavioral history, etc.).

[1645] This invention is a system that provides opportunities for men and women to meet, using a dedicated artificial intelligence assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[1646] System Configuration

[1647] server

[1648] The server has a database that manages user profiles. It provides a platform for generating and training dedicated artificial intelligence and executing compatibility determination algorithms. It also has a function to manage interactions between dedicated artificial intelligences and find compatible partners.

[1649] terminal

[1650] The device has the function of collecting data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and sending it to a server. It also displays reports sent from the server for the user to review.

[1651] user

[1652] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers. Users input data about their hobbies, preferences, and personality, and provide activity data.

[1653] Examples of specific cases and prompt statements

[1654] For example, if a user enters "Taro Yamada, 28 years old, male, loves reading and traveling," this information is sent to the server, and a dedicated artificial intelligence is generated. Furthermore, when data such as "reading Harry Potter" or "posted photos from a trip to Spain" is sent from the device to the server, the dedicated AI learns from this information. Then, "Taro Yamada's AI" determines that it is compatible with "Hanako Sato's AI," and a report stating "You seem to have similar hobbies to Hanako Sato" is generated and notified to Taro Yamada's device, allowing the user to efficiently find compatible partners.

[1655] Examples of prompts to input into a generative AI model

[1656] Examples of prompt messages are as follows:

[1657] "Based on the following information, please create a description of the user's personalized AI. Include specific examples from the user's past behavioral data, such as name, age, gender, hobbies, and preferences, and describe in detail the process by which the user efficiently finds compatible partners through this system."

[1658] As described above, in order to implement this invention, it is important to establish a process that links a server, a terminal, and a dedicated artificial intelligence to find a compatible partner based on user data.

[1659] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1660] Step 1:

[1661] User Registration

[1662] user:

[1663] Download and launch the application.

[1664] Upon first launch, you will be asked to enter information such as your name, age, gender, hobbies, and interests.

[1665] Terminal:

[1666] The system receives the input information and sends it to the server as JSON data.

[1667] server:

[1668] Receive data in JSON format and save it to the user database.

[1669] Based on the received data, it generates an artificial intelligence system that is dedicated to the user.

[1670] Inputs and outputs:

[1671] Input: User's personal information (e.g., name, age, gender, hobbies, interests, etc.)

[1672] Output: A database containing user information, and a dedicated artificial intelligence.

[1673] Specific actions:

[1674] When a user enters information such as "Taro Yamada, 28 years old, male, loves reading, loves traveling," the device converts it into JSON format and sends it to the server. The server receives this information, stores it in a database, and generates a dedicated artificial intelligence.

[1675] Step 2:

[1676] Collection and transmission of daily activity data

[1677] Terminal:

[1678] The system continuously collects data on users' daily activities (e.g., reading history, travel history, music playback history, etc.).

[1679] These data are sent to the server at regular intervals.

[1680] server:

[1681] The system receives the submitted behavioral data and saves it to the user database.

[1682] A dedicated artificial intelligence uses this data to further learn the user's hobbies, preferences, and personality.

[1683] Inputs and outputs:

[1684] Input: User's daily activity data (e.g., recently read books, places visited, music played history)

[1685] Output: Updated training data for the dedicated artificial intelligence.

[1686] Specific actions:

[1687] When a user performs actions such as "finishing reading Harry Potter" or "uploading photos from a trip to Spain," the device collects this behavioral data and sends it to a server. The server updates its database, and a dedicated artificial intelligence learns from the new data.

[1688] Step 3:

[1689] Interaction between dedicated AIs

[1690] server:

[1691] It provides a virtual space where dedicated artificial intelligences can interact with each other at regular intervals.

[1692] Through interaction, it exchanges information with other artificial intelligences and analyzes common hobbies and preferences.

[1693] Inputs and outputs:

[1694] Input: Information exchanged between dedicated AI systems (e.g., user's hobbies and preferences, behavioral history, etc.)

[1695] Output: Compatibility evaluation data with other users

[1696] Specific actions:

[1697] "Yamada Taro's AI" interacts with "Sato Hanako's AI" in a virtual space, exchanging information about their hobbies and preferences to analyze their compatibility.

[1698] Step 4:

[1699] Compatibility assessment and report creation

[1700] server:

[1701] A dedicated artificial intelligence executes a compatibility assessment algorithm to evaluate compatibility with other users' dedicated AIs.

[1702] If compatibility is determined, a detailed report will be generated and sent to the device.

[1703] Terminal:

[1704] The system displays received reports to users and provides information about compatible partners.

[1705] Inputs and outputs:

[1706] Input: Evaluation results from the compatibility determination algorithm

[1707] Output: A report containing information about compatible partners.

[1708] Specific actions:

[1709] If the AI ​​for Taro Yamada determines that it is very compatible with the AI ​​for Hanako Sato, the server generates a report stating, "It seems you and Hanako Sato have similar hobbies," and notifies Taro Yamada's terminal.

[1710] This allows users to efficiently find compatible partners.

[1711] (Application Example 1)

[1712] 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".

[1713] One contributing factor to the declining birthrate is the decrease in opportunities for young people to meet each other. Traditional matchmaking systems often fail to adequately consider users' hobbies, preferences, and personalities, and even at events, it's difficult to find a compatible partner. As a result, successful encounters are less likely, and this issue has not led to a fundamental solution to the declining birthrate.

[1714] 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.

[1715] In this invention, the server is

[1716] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[1717] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[1718] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[1719] A means of generating compatibility reports for events in which users participate,

[1720] This includes increasing the opportunities for users to meet compatible partners at in-store events, enabling more efficient matchmaking.

[1721] A "user" is an individual who utilizes this system and possesses their own dedicated artificial intelligence.

[1722] A "dedicated artificial intelligence" is an artificial intelligence that is dedicated to an individual user and learns that user's hobbies, preferences, and personality.

[1723] "Hobbies, preferences, and personality" refers to the user's interests, preferences, and personality traits, which are the subjects of learning for the dedicated artificial intelligence.

[1724] "Interaction" refers to the exchange of information between dedicated artificial intelligences in a virtual space, followed by comparison and analysis.

[1725] "Personality information" refers to information based on the user's hobbies, preferences, and personality, and is the subject of comparison and analysis by the dedicated AIs through interaction.

[1726] An "event" refers to a gathering or activity held at a physical store that a user wishes to participate in.

[1727] A "compatibility report" refers to a report that includes information about compatible partners and common topics of conversation at events in which a user participates.

[1728] "Activity data" refers to data related to a user's daily activities, including reading history, travel history, and music playback history.

[1729] A "server" refers to a platform that generates and trains dedicated artificial intelligence, manages data, and provides analysis results.

[1730] This invention is a system that provides opportunities for men and women to meet, using artificial intelligence (AI) that is individually assigned to each user, as part of measures to address the declining birthrate. The system consists of a server, a user's terminal, and a dedicated artificial intelligence.

[1731] System Configuration

[1732] server

[1733] The server has the following functions:

[1734] 1. User profile management function

[1735] The system stores user information such as name, age, gender, hobbies, and preferences in a database.

[1736] 2. Generation and learning of a dedicated artificial intelligence

[1737] A generative AI model is used to generate a dedicated AI for each user.

[1738] The AI ​​learns based on user activity data.

[1739] 3. Execution of the compatibility determination algorithm

[1740] It manages interactions between dedicated AIs and executes an algorithm to determine compatibility.

[1741] 4. Generating a compatibility report

[1742] Based on the interaction results between dedicated AIs in a virtual space, a compatibility report is generated and provided to the user.

[1743] As a concrete example, the server utilizes activity data such as the user's "reading history" and "travel history."

[1744] terminal

[1745] The device has the following features:

[1746] 1. User registration and initial setup

[1747] There is a feature that allows users to input information to generate a dedicated AI.

[1748] 2. Collection of daily activity data

[1749] The system collects users' daily activity data (e.g., reading history, travel history, music playback history, etc.) and periodically sends it to the server.

[1750] 3. Event Recommendation and Registration

[1751] We recommend events held at physical stores based on users' interests.

[1752] 4. Displaying the compatibility report

[1753] Display the compatibility report sent from the server to the user.

[1754] As a concrete example, the device displays event information for the user, such as "a cafe reading group" or "a bar for conversation."

[1755] user

[1756] The user will take the following actions:

[1757] 1. User Registration

[1758] We provide the information necessary to generate a dedicated AI using devices such as smartphones and personal computers.

[1759] 2. Provision of daily activity data

[1760] Activity data is sent to the server via the device to assist the dedicated AI in learning.

[1761] 3. Event participation

[1762] Participate in events at recommended physical stores and meet someone compatible with you.

[1763] 4. Check the compatibility report

[1764] Review the compatibility report sent from the server and decide whether to participate in the event.

[1765] Program Processing Description

[1766] The server manages user information using programming languages ​​such as Python and a database management system (e.g., PostgreSQL). Generative AI models are built using machine learning frameworks such as TensorFlow and PyTorch. User activity data is sent from the terminal to the server in JSON format. Furthermore, the compatibility determination algorithm analyzes data obtained from interactions between dedicated AIs, based on the user's hobbies, preferences, and personality data. Interactions between dedicated AIs take place periodically in a virtual space, and the data from these interactions is stored on the server.

[1767] For example, if a user expresses interest in joining a "cafe reading group," the server will determine their compatibility with other related users' personal AIs and generate a compatibility report that includes a shared interest in reading. The generated report is sent to the user's device and displayed to them.

[1768] Example prompts for generative AI models:

[1769] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[1770] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1771] Step 1:

[1772] User Registration

[1773] Input: Users download the application on their smartphone or computer and enter information such as their name, age, gender, and interests.

[1774] Processing: The terminal sends this information to the server in JSON format.

[1775] Output: The server stores the received information in a database and generates a dedicated artificial intelligence (AI) profile.

[1776] Step 2:

[1777] Initial setup

[1778] Input: A dedicated AI profile sent from the server.

[1779] Processing: After the dedicated AI is generated, the server performs initial setup using the generated AI model, setting the initial state of the AI ​​based on the user's basic information.

[1780] Output: A pre-configured, dedicated AI is assigned to the user.

[1781] Step 3:

[1782] Collection of daily activity data

[1783] Input: User's daily activity data (e.g., reading history, travel history, music playback history)

[1784] Processing: The device periodically collects this data, and once a certain amount has accumulated, it sends the data to the server in JSON format.

[1785] Output: The server saves the received data to the database and updates the AI's training data.

[1786] Step 4:

[1787] Dedicated AI learning

[1788] Input: User's daily activity data stored on the server.

[1789] Processing: The server's generated AI model uses this data to train its dedicated AI. For example, it analyzes patterns such as what kind of books users read or where they travel.

[1790] Output: A dedicated AI is generated, updated based on the training data.

[1791] Step 5:

[1792] Event Recommendation

[1793] Input: User's hobby and preference data.

[1794] Processing: Based on this data, the device retrieves relevant in-store events (e.g., cafe book clubs, bar social events) from the server and recommends them to the user.

[1795] Output: Displays recommended event information to the user.

[1796] Step 6:

[1797] Event Registration

[1798] Input: User's willingness to participate in the recommended event.

[1799] Processing: The terminal sends registration information to the server. The server receives this information and begins determining compatibility with the dedicated AI of other related users.

[1800] Output: Event registration information stored on the server.

[1801] Step 7:

[1802] Interaction between dedicated AIs

[1803] Input: Registered event participation information and profile data for each dedicated AI.

[1804] Processing: The server allows dedicated AIs to exchange information in a virtual space, analyzing common interests, preferences, and compatibility.

[1805] Output: Compatibility data between dedicated AIs based on a compatibility determination algorithm.

[1806] Step 8:

[1807] Generating a compatibility report

[1808] Input: Compatibility data and interaction results between dedicated AIs.

[1809] Processing: The server uses an AI model to generate a compatibility report that is helpful when users participate in an event. The report includes shared hobbies and conversation starters for compatible partners.

[1810] Output: The generated compatibility report is sent to the device.

[1811] Step 9:

[1812] Display compatibility report

[1813] Input: Compatibility report sent from the server.

[1814] Processing: The device receives a compatibility report and displays it to the user. This allows the user to understand commonalities with compatible partners before participating in an event.

[1815] Output: The compatibility report is presented to the user for review.

[1816] This allows users to effectively find compatible partners. For example, users participating in a "cafe book club" can receive a compatibility report that includes conversation starters, such as topics related to specific books.

[1817] Example prompts for generative AI models:

[1818] "Please generate a compatibility report for events attended by users. User information: Individual user, 28 years old, loves reading and traveling. Event: Book club at a physical store. The report should include shared hobbies and conversation starters for compatible participants."

[1819] 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.

[1820] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment. The following describes a specific embodiment of the system.

[1821] System Configuration

[1822] server

[1823] It has a database that manages user profiles and sentiment data.

[1824] We provide a platform for generating, learning, executing compatibility determination algorithms, and processing data for emotion engines using dedicated artificial intelligence.

[1825] It has a function to manage interactions between dedicated AIs and find compatible partners.

[1826] terminal

[1827] It has the functionality to collect and send to a server user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data.

[1828] Display the reports sent from the server so that users can review them.

[1829] user

[1830] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[1831] Users input their hobbies, preferences, and personality data, and the system provides daily activity and emotional data.

[1832] Emotional Engine

[1833] It has the ability to recognize user emotions and collect emotional data.

[1834] It analyzes emotional data and sends the results to a dedicated artificial intelligence.

[1835] Program processing

[1836] 1. User Registration

[1837] user:

[1838] Download and launch the terminal application.

[1839] Enter your name, age, gender, and information about your hobbies and interests.

[1840] Terminal:

[1841] The system collects information entered by the user and sends it to the server as data in JSON format.

[1842] server:

[1843] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[1844] Specific example: If a user enters "Taro Yamada, 28 years old, male, loves reading, loves traveling," that data is saved on the server, and a dedicated artificial intelligence and emotion engine are generated.

[1845] 2. Collection and learning of emotional data

[1846] Terminal:

[1847] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[1848] The collected emotional data is sent to the server at regular intervals.

[1849] server:

[1850] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[1851] Specific example: When a user is listening to music, the emotion engine recognizes the emotion of "happiness" and sends that data to the server.

[1852] 3. Learning by the dedicated AI

[1853] Terminal:

[1854] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[1855] The collected data is sent to the server.

[1856] server:

[1857] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[1858] Specific example: Data such as "the user is reading Harry Potter" or "the user posted photos from a trip to Spain" is sent to the server.

[1859] 4. Interaction between dedicated AIs

[1860] server:

[1861] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[1862] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[1863] Specific example: "Taro Yamada's AI" interacts with "Hanako Sato's AI," analyzing not only their shared hobbies and preferences but also commonalities in their emotional responses.

[1864] 5. Compatibility assessment and report creation

[1865] server:

[1866] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[1867] Once it finds the most compatible partner, it generates a report and sends it to the device.

[1868] Terminal:

[1869] Notify users of received reports so they can review them.

[1870] Specific example: "Yamada Taro's AI" determines that it is compatible with "Sato Hanako's AI," and a report is sent to Yamada Taro stating that "there are many points of agreement in emotional responses."

[1871] This allows users to receive efficient compatibility assessments that take into account emotions such as joy and excitement while going about their daily lives, giving them the opportunity to meet their ideal partner. This system will also contribute to a fundamental solution to the declining birthrate problem.

[1872] The following describes the processing flow.

[1873] Step 1:

[1874] The user downloads and installs the smartphone app. They launch the app and open the new registration screen.

[1875] Step 2:

[1876] The device displays a new user registration screen. The user enters information such as their name, age, gender, and hobbies / interests (e.g., reading, travel, music, etc.) and presses the "Register" button.

[1877] Step 3:

[1878] The terminal collects user input information and sends it to the server as JSON data. It sends a request to the server called "POST / register".

[1879] Step 4:

[1880] The server processes requests received via the "POST / register" API endpoint and saves user information to the database. It generates a dedicated artificial intelligence and emotion engine and sets the user information as the initial profile.

[1881] Step 5:

[1882] The system collects data on the user's daily activities (e.g., reading history, travel history, music playback history, etc.) and emotional data. The device's emotional engine recognizes the user's emotions in real time and collects the data.

[1883] Step 6:

[1884] The device sends collected activity and emotion data to the server at regular intervals.

[1885] Step 7:

[1886] The server stores the received activity and emotion data in a database. A dedicated artificial intelligence learns the user's hobbies, preferences, and personality based on the received data, and updates the profile while also considering the emotion data.

[1887] Step 8:

[1888] The server schedules regular interaction sessions between its dedicated artificial intelligences, allowing them to communicate within the virtual space.

[1889] Step 9:

[1890] The dedicated AI exchanges information with other AIs, analyzing common interests, preferences, and emotional data. The server's compatibility algorithm calculates the compatibility between each AI, taking emotional data into account.

[1891] Step 10:

[1892] The server finds compatible partners and generates a report based on those results. This report is then sent to each user's device.

[1893] Step 11:

[1894] The device notifies the user of received reports and displays them within the app. The user can then check the commonalities between the profile information and sentiment data of compatible partners.

[1895] Step 12:

[1896] The user selects an action such as "like" or "send a message." The device then sends the user's action to the server.

[1897] Step 13:

[1898] The server records user action information in a database, and when a match is made with a specific person, it unlocks messaging and other communication functions.

[1899] As a concrete example, when a user is listening to music, the emotion engine recognizes the emotion of "enjoyment" and sends it to the server, where a dedicated AI analyzes compatibility based on that data. As a result, the user is provided with a report that includes information such as "there are many points of agreement in emotional responses." In this way, users can receive efficient compatibility evaluations based on emotional data while going about their daily lives, and have the opportunity to meet their ideal partner.

[1900] (Example 2)

[1901] 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".

[1902] In modern society, the declining birthrate is a serious problem, partly due to people's inability to find suitable partners. However, conventional matching systems judge compatibility based only on data such as hobbies, preferences, and personality, and do not take emotional data into consideration, making it difficult to perform highly accurate compatibility assessments. Therefore, there is a need for a system that performs a comprehensive compatibility assessment including emotional data and provides more accurate partner candidates.

[1903] 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.

[1904] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for collecting and transmitting the user's daily activity data and emotional data to the server; means for analyzing the received emotional data and for the artificial intelligence to learn from that data; means for the dedicated artificial intelligences to interact with each other in a virtual space and compare and analyze information including emotional data with artificial intelligences dedicated to other users; and means for providing information on other users who are judged to be compatible based on the analysis results. This makes it possible to perform highly accurate compatibility evaluations that take emotional data into consideration.

[1905] A "user" refers to an individual who uses the system to input and provide data about their hobbies, preferences, and emotions.

[1906] A "dedicated artificial intelligence" refers to an artificial intelligence system that is exclusively assigned to a specific user and learns and analyzes that user's hobbies, preferences, personality, and emotional data.

[1907] "Activity data" refers to data that shows a user's daily behavioral history and behavioral patterns, including, for example, reading history, travel history, and music playback history.

[1908] "Emotional data" refers to data that quantifies or qualitatively records the emotions that users experience in their daily lives.

[1909] A "server" refers to a computing system that receives data sent by users, analyzes it, and stores it in a database.

[1910] A "database" is a data storage device connected to a server that stores various types of data collected from users and dedicated artificial intelligence.

[1911] An "emotion engine" is a general term for software and hardware that recognizes a user's emotions and collects and analyzes them as data.

[1912] "Compatibility evaluation" refers to the process by which a dedicated artificial intelligence evaluates its compatibility with other users' artificial intelligences.

[1913] "Virtual space" refers to a simulation environment where dedicated artificial intelligences exchange and analyze data.

[1914] A "report" refers to a report-style output generated to inform users of the results of the compatibility evaluation.

[1915] A "compatibility assessment algorithm" refers to a mathematical and logical method used by a dedicated artificial intelligence to calculate compatibility with other users based on the user's hobbies, preferences, personality, and emotional data.

[1916] This invention is a system that combines a user-specific artificial intelligence and an emotion engine to address the declining birthrate. By considering not only the user's hobbies, preferences, and personality, but also their emotional data, it provides a more accurate compatibility assessment.

[1917] System Configuration

[1918] server

[1919] The server has a database that manages user profiles and sentiment data.

[1920] The server provides a platform for generating, learning, executing compatibility determination algorithms, and processing data for the emotion engine, all for dedicated artificial intelligence.

[1921] The server manages interactions between dedicated artificial intelligences and has a function to find compatible partners.

[1922] terminal

[1923] The device has the function of collecting the user's daily behavioral data (reading history, travel history, music playback history, etc.) and emotional data, and sending it to a server.

[1924] The terminal displays reports sent from the server, allowing users to review them.

[1925] Users communicate with a dedicated artificial intelligence using devices such as smartphones and personal computers.

[1926] Users input data on their hobbies, preferences, and personality, and provide daily activity data and emotional data.

[1927] Emotional Engine

[1928] The emotion engine has the function of recognizing the user's emotions and collecting emotional data.

[1929] The emotion engine analyzes emotional data and sends the results to a dedicated artificial intelligence.

[1930] Overview of Program Processing

[1931] First, users download and launch the application on their smartphone or computer. Users enter information such as their name, age, gender, hobbies, and preferences, and the device collects this information and sends it to the server as JSON data. The server stores the received information in a database and generates a dedicated artificial intelligence and emotion engine.

[1932] In daily life, the device recognizes the user's daily actions and emotions through an emotion engine, collects this data, and periodically sends it to a server. For example, if the emotion engine recognizes that the user is "happy" while listening to music, that data is sent to the server. The server stores this emotion data in a database, and a dedicated artificial intelligence learns from that data.

[1933] The device also collects data on the user's daily activities (e.g., reading history, travel history, music playback history) and sends it to the server. Based on this data, artificial intelligence on the server learns the user's hobbies, preferences, and personality. For example, data such as "the user is reading a specific book" or "the user posted photos from a travel destination" is sent to the server.

[1934] Subsequently, the server provides a virtual space where dedicated AIs can interact with each other. These AIs exchange information with other users' AIs and evaluate compatibility, taking emotional data into account. For example, "User A's AI" interacts with "User B's AI," analyzing not only common hobbies and preferences but also similarities in emotional responses.

[1935] Ultimately, the server's dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated artificial intelligences. Once it finds the most compatible partner, it generates a report and sends it to the terminal. For example, if "User A's artificial intelligence" determines that it is compatible with "User B's artificial intelligence," a report is sent to User A stating that "there are many points of agreement in emotional responses."

[1936] Examples of specific cases and prompt statements

[1937] As a concrete example, consider a case where a user named "Taro Yamada" inputs information such as being 28 years old, male, and enjoying reading and traveling. This information is stored on the server, and a dedicated artificial intelligence and emotion engine are generated.

[1938] Examples of prompt statements to use:

[1939] "Please enter your name, age, gender, and information about your hobbies and interests. Next, we will collect and submit your daily behavioral data and emotional data. The system will then perform a compatibility assessment and report who you are most compatible with."

[1940] In this way, users can receive highly accurate compatibility evaluations that take emotional data into consideration. With the server, terminal, and user each fulfilling their respective roles, this system also contributes to solving the problem of the declining birthrate.

[1941] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1942] Step 1: User Registration

[1943] user:

[1944] Download the application to your smartphone or computer and launch it.

[1945] Enter your name, age, gender, and information about your hobbies and interests.

[1946] Input: Information about the user's name, age, gender, hobbies, and interests.

[1947] Terminal:

[1948] The system collects information entered by the user and sends it to the server as data in JSON format.

[1949] Specific operation: The app on the device collects input data via a browser form and sends an HTTP POST request to the server.

[1950] Output: JSON data of user information sent to the server.

[1951] server:

[1952] The system stores the received user information in a database and generates a dedicated artificial intelligence and emotion engine.

[1953] Specific operation: The server inserts the user profile into the database and then performs initial setup of the AI ​​model to generate an AI agent corresponding to the user.

[1954] Output: User information stored in the database and the generated artificial intelligence and emotion engine.

[1955] Step 2: Collect and learn emotional data

[1956] Terminal:

[1957] The emotion engine recognizes the emotions users experience in their daily lives and collects data from them.

[1958] The collected emotional data is sent to the server at regular intervals.

[1959] Input: User emotional information from everyday life.

[1960] Specific operation: The device's emotion engine uses the microphone and camera sensors to analyze emotion data in real time and periodically sends the results in batches.

[1961] Output: Sentiment data sent to the server.

[1962] server:

[1963] The received emotional data is stored in a database, and a dedicated artificial intelligence learns from that data.

[1964] Specific operation: The server stores the emotion data in the appropriate table, and the AI ​​module updates its parameters based on the new data.

[1965] Output: Updated AI parameters.

[1966] Step 3: Dedicated AI learning

[1967] Terminal:

[1968] It collects data on users' daily activities (reading history, travel history, music playback history, etc.).

[1969] The collected data is sent to the server.

[1970] Input: Daily activity data.

[1971] Specific operation: The device collects the user's app usage history, GPS data, and media playback history as logs and periodically uploads them to a server via HTTPS.

[1972] Output: Activity data sent to the server.

[1973] server:

[1974] Based on the activity and emotional data received, a dedicated artificial intelligence learns the user's hobbies, preferences, and personality.

[1975] Specific operation: Activity data stored in a database is input into a machine learning algorithm, and user characteristics are learned using regression analysis and clustering.

[1976] Output: Updated user profile based on training results.

[1977] Step 4: Interaction between dedicated AIs

[1978] server:

[1979] It provides a virtual space where dedicated artificial intelligences can interact with each other.

[1980] The dedicated artificial intelligence exchanges information with other artificial intelligences and evaluates compatibility by also considering emotional data.

[1981] Input: Profile data of trained artificial intelligences.

[1982] Specific operation: The server creates instances to simulate the virtual space, and a dedicated AI exchanges information via an API.

[1983] Output: Evaluation data obtained from information exchange and interaction.

[1984] Step 5: Compatibility assessment and report creation

[1985] server:

[1986] A dedicated artificial intelligence uses emotional data to execute a compatibility assessment algorithm and evaluates compatibility with other users' dedicated AIs.

[1987] Once it finds the most compatible partner, it generates a report and sends it to the device.

[1988] Input: Evaluation data and sentiment data obtained from interactions.

[1989] Specific operation: The compatibility determination algorithm calculates the results considering the emotional data and activity history in the database, generates a report in PDF or HTML format, and sends it to the terminal as an HTTP response.

[1990] Output: The generated report.

[1991] Terminal:

[1992] Notify users of received reports so they can review them.

[1993] Specific operation: The terminal app receives a new report notification from the server and displays it as a pop-up on the screen.

[1994] Output: A report that users can view.

[1995] (Application Example 2)

[1996] 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".

[1997] Traditional systems could find partners based on users' hobbies, preferences, and personalities, but they lacked compatibility assessments that reflected emotional data, making it difficult to determine compatibility at a deeper level. Furthermore, real-time compatibility assessments based on user interactions were also challenging. Therefore, there is a need for a system that enables comprehensive compatibility assessments that include users' emotions and daily activity data.

[1998] 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.

[1999] In this invention, the server includes means for an artificial intelligence dedicated to an individual user to learn each user's hobbies, preferences, and personality; means for the dedicated artificial intelligences to interact with each other and compare and analyze personality information with other user-dedicated artificial intelligences; means for providing information on other users who are judged to be compatible based on the analysis results; means for using an emotion engine to collect emotion data from individual users, analyze the emotion data, and provide it to the dedicated artificial intelligence; and means for the user-dedicated artificial intelligence to interact with other user-dedicated artificial intelligences in real time within a virtual space to determine compatibility. This makes it possible to make a comprehensive compatibility determination that reflects the user's emotions and daily activities.

[2000] An "individual user" refers to an individual user who has their own unique profile and information when using a particular service or system.

[2001] A "dedicated artificial intelligence" is an artificial intelligence system that responds to individual users, learns their hobbies, preferences, and personality, and provides the most suitable service.

[2002] "Hobbies and preferences" refer to a user's likes and interests regarding specific activities, things, or objects.

[2003] "Personality" refers to the characteristics that describe a user's behavioral, thought, and emotional tendencies.

[2004] "Interaction" refers to the act of dedicated artificial intelligences exchanging information and using each other's data for analysis.

[2005] "Personality information" refers to data and characteristics that indicate a user's personality.

[2006] "Analysis" refers to a series of processes that involve thoroughly analyzing collected data and converting it into meaningful information.

[2007] "Information on other users deemed to be a good match" refers to information about other users who, based on the analysis results, have been identified as potential partners for a particular user.

[2008] "Emotional data" refers to data that represents a user's emotions in their daily life, including emotions such as "happy," "sad," and "angry."

[2009] An "emotion engine" is software or hardware that recognizes a user's emotions and collects and analyzes emotional data.

[2010] A "virtual space" is a 3D simulated environment built on a computer system that users can visually experience.

[2011] "Real-time interaction" refers to the instantaneous exchange of information and interaction between dedicated artificial intelligences.

[2012] "Compatibility assessment" is a process that evaluates how well a particular user is compatible with other users, based on collected data and analysis results.

[2013] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. The following describes in detail how each element interacts and performs data processing and calculations.

[2014] server

[2015] The server plays a central role in the system and includes the following:

[2016] User information management: The server generates an artificial intelligence dedicated to each individual user and maintains a database that learns the user's hobbies, preferences, and personality.

[2017] Collection and analysis of emotional data: Emotional data sent from the emotion engine is received and analyzed. A dedicated artificial intelligence uses this emotional data to learn the user's emotional state.

[2018] Virtual space management: Provides an environment where a dedicated artificial intelligence interacts with other dedicated artificial intelligences in real time within the virtual space and performs compatibility assessments.

[2019] Compatibility assessment and report generation: Based on the collected data, compatibility assessments are performed, and reports are generated to notify the user of the results.

[2020] terminal

[2021] The terminal is responsible for the interface with the user and includes the following means:

[2022] Data Collection: The system collects users' daily activity data (reading history, travel history, music playback history, etc.) and emotional data via an emotion engine and sends them to the server.

[2023] Notifications and Display: Receive compatibility assessment reports sent from the server and notify the user. Users can view the reports on their devices.

[2024] user

[2025] A user is a user of the system, and this includes the following:

[2026] Profile Registration: Enter your name, age, gender, and information about your hobbies and interests into the device. This data is sent to the server, and a personalized artificial intelligence is generated for you.

[2027] Emotional Data Provision: The emotion engine recognizes and collects data on emotions experienced in daily life. Users can provide data to the system naturally without requiring any special actions.

[2028] Specific example

[2029] For example, when a user enters profile data such as "Taro, 28 years old, male, loves reading and traveling," that information is stored on the server. The server generates a dedicated artificial intelligence that learns the user's hobbies, preferences, and personality. Also, when the emotion engine recognizes the emotion "enjoyment" while the user is listening to music, that data is sent to the server, and the dedicated artificial intelligence learns from it.

[2030] Example of a prompt

[2031] Examples of prompts for providing feedback to a generative AI model are as follows:

[2032] In this virtual dating platform, compatibility is determined using a user-specific artificial intelligence and emotion engine. Please describe the process of matching users with each other using the user's profile data (e.g., 28 years old, male, hobbies: reading and traveling). Please detail how the information and emotion data entered by the user are collected and sent to the server, and explain the process of generating a report of compatible users.

[2033] This invention allows users to receive a comprehensive compatibility assessment that reflects their emotions and daily activities, making it more likely that they will find their ideal partner.

[2034] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[2035] Step 1:

[2036] The user enters profile information from their device. They input data such as name, age, gender, and hobbies / interests into the device, and then the device sends this information to the server. The entered data is sent to the server in JSON format. The server receives this data and stores it in its database.

[2037] Step 2:

[2038] The server generates a dedicated artificial intelligence (AI) based on the user's profile information. The generated AI performs initial setup to learn the user's hobbies, preferences, and personality. This learning process involves building the user's profile based on input data and updating it according to subsequent activity and emotional data.

[2039] Step 3:

[2040] The emotion engine collects user emotion data in real time. The emotion engine uses voice analysis and biosensors to identify the user's emotions and transmits this data to the device. The device periodically sends this data back to the server.

[2041] Step 4:

[2042] The server analyzes the received emotional data. Machine learning algorithms are used for the analysis, quantifying the user's emotional state and feeding it back to a dedicated artificial intelligence. This analysis data is stored in a database and used for future compatibility assessments.

[2043] Step 5:

[2044] A dedicated artificial intelligence updates the user's profile based on collected emotional and activity data. This creates a profile that reflects the user's latest interests, preferences, personality, and emotional state. This profile is used to determine compatibility with other users.

[2045] Step 6:

[2046] Dedicated artificial intelligences interact with each other within a virtual space. The server provides an environment where a user's dedicated AI can interact in real time with other users' dedicated AIs within the virtual space. Based on the data acquired through these interactions, the dedicated AI determines its compatibility with other users.

[2047] Step 7:

[2048] The compatibility assessment results are generated as a report. The server uses the collected data and compatibility assessment algorithm to evaluate the compatibility between the user and other users and generates a report. This report is used to notify the user of the best partner.

[2049] Step 8:

[2050] The generated report is sent to the user's terminal. The terminal receives the report sent from the server and notifies the user. The user can then view the contents of the report via the terminal.

[2051] Through these steps, users can receive a comprehensive compatibility assessment that reflects their emotional data and daily activities, giving them the opportunity to find a more suitable partner.

[2052] 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.

[2053] 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 those described above. 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 shown 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.

[2054] 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.

[2055] 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.

[2056] 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.

[2057] 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.

[2058] 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.

[2059] 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 based, for example, 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.

[2060] 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."

[2061] 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.

[2062] 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.

[2063] 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.

[2064] 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.

[2065] 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.

[2066] 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.

[2067] 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.

[2068] 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.

[2069] 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.

[2070] 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.

[2071] 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.

[2072] 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.

[2073] The following is further disclosed regarding the embodiments described above.

[2074] (Claim 1)

[2075] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[2076] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[2077] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[2078] A system that includes this.

[2079] (Claim 2)

[2080] A means of periodically collecting individual user activity data and sending that data to a server,

[2081] A means for updating the training data of a dedicated artificial intelligence based on the collected data,

[2082] The system according to claim 1, further comprising:

[2083] (Claim 3)

[2084] A dedicated artificial intelligence uses a compatibility assessment algorithm to measure its compatibility with other artificial intelligences and reports the results.

[2085] A means of notifying the target user of other users who are the best match for them based on the measurement results,

[2086] The system according to claim 1, further comprising:

[2087] "Example 1"

[2088] (Claim 1)

[2089] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[2090] A means for dedicated AIs to interact with each other and compare and analyze individual information with AIs dedicated to other users,

[2091] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[2092] A means by which a device collects the user's daily behavior data and periodically sends it to a server,

[2093] A dedicated artificial intelligence exchanges information with other artificial intelligences in a virtual space, and analyzes common hobbies and preferences.

[2094] A system that includes this.

[2095] (Claim 2)

[2096] A means of periodically collecting individual user activity data and sending that data to a server,

[2097] A means for updating the training data of a dedicated artificial intelligence based on the collected data,

[2098] The system according to claim 1, further comprising:

[2099] (Claim 3)

[2100] A dedicated artificial intelligence measures its compatibility with other artificial intelligences using a compatibility assessment algorithm, generates a report, and sends it to the terminal.

[2101] A means of notifying the target user of other users who are the best match for them based on the measurement results,

[2102] The system according to claim 1, further comprising:

[2103] "Application Example 1"

[2104] (Claim 1)

[2105] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[2106] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[2107] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[2108] A means of generating compatibility reports for events in which users participate,

[2109] A system that includes this.

[2110] (Claim 2)

[2111] A means of periodically collecting individual user activity data and sending that data to a server,

[2112] A means for updating the training data of a dedicated artificial intelligence based on the collected data,

[2113] A means of recommending events based on user interests in physical stores,

[2114] The system according to claim 1, further comprising:

[2115] (Claim 3)

[2116] A dedicated artificial intelligence uses a compatibility assessment algorithm to measure its compatibility with other artificial intelligences and reports the results.

[2117] A means of notifying the target user of other users who are the best match for them based on the measurement results,

[2118] A means for users to generate a report containing information about compatible partners and common topics before participating in an event,

[2119] The system according to claim 1, further comprising:

[2120] "Example 2 of combining an emotion engine"

[2121] (Claim 1)

[2122] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[2123] A means for collecting users' daily activity data and emotional data and transmitting them to a server,

[2124] A means of analyzing received emotional data and having artificial intelligence learn from that data,

[2125] A means by which dedicated artificial intelligences interact with each other in a virtual space and compare and analyze information, including emotional data, with artificial intelligences dedicated to other users.

[2126] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[2127] A system that includes this.

[2128] (Claim 2)

[2129] A means of periodically collecting individual user activity data and transmitting that data to a server,

[2130] A means for updating the training data of a dedicated artificial intelligence based on the collected data,

[2131] The system according to claim 1, further comprising:

[2132] (Claim 3)

[2133] A dedicated artificial intelligence uses a compatibility assessment algorithm to measure its compatibility with other artificial intelligences and reports the results.

[2134] A means of notifying the target user of other users who are the best match for them based on the measurement results,

[2135] The system according to claim 1, further comprising:

[2136] "Application example 2 when combining with an emotional engine"

[2137] (Claim 1)

[2138] A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality,

[2139] A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users,

[2140] A means of providing information on other users who are deemed to be compatible based on the analysis results,

[2141] A means for using an emotion engine to collect individual user emotion data, analyzing said emotion data, and providing it to a dedicated artificial intelligence,

[2142] A system that includes a means for a user's personal artificial intelligence to interact in real time with other users' personal artificial intelligences within a virtual space and perform compatibility assessments.

[2143] (Claim 2)

[2144] A means of periodically collecting individual user activity data and sending that data to a server,

[2145] A means for updating the training data of a dedicated artificial intelligence based on the collected data,

[2146] A means to periodically collect individual users' daily emotional data and send that data to a server,

[2147] The system according to claim 1, further comprising means for optimizing the decision-making of a dedicated artificial intelligence based on the collected emotional data.

[2148] (Claim 3)

[2149] A dedicated artificial intelligence uses a compatibility assessment algorithm to measure its compatibility with other artificial intelligences and reports the results.

[2150] A means of notifying the target user of other users who are the best match for them based on the measurement results,

[2151] The system according to claim 1, further comprising means for providing feedback on the optimal compatibility determination algorithm using prompt statements from a generated AI model. [Explanation of symbols]

[2152] 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. A means by which an AI dedicated to each individual user learns each user's hobbies, preferences, and personality, A means for dedicated AIs to interact with each other and compare and analyze personality information with AIs dedicated to other users, A means of providing information on other users who are deemed to be compatible based on the analysis results, A system that includes this.

2. A means of periodically collecting individual user activity data and sending that data to a server, A means for updating the training data of a dedicated artificial intelligence based on the collected data, The system according to claim 1, further comprising:

3. A dedicated artificial intelligence uses a compatibility assessment algorithm to measure its compatibility with other artificial intelligences and reports the results. A means of notifying the target user of other users who are the best match for them based on the measurement results, The system according to claim 1, further comprising:

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