System

Abstract

A system is provided.SOLUTION: A system comprising: means for performing a dialogue with a user to collect information on love of the user; means for storing the collected information in a database and analyzing the information; means for extracting a matching candidate with another user by using an analysis result; means for presenting the matching candidate to the user to adjust a date schedule; and means for collecting feedback of the user after the date to improve next matching accuracy.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Describe the "problem that the invention aims to solve" and the "means for solving the problem."

[0005] Conventional matching systems have three major issues. First, exchanging messages can be tedious and feel pointless, placing a burden on many users. Second, mismatches are easily discovered after a relationship has begun, and successful relationships can easily fall apart in a short period of time. Third, the structure of the system makes it difficult to match with a member of the opposite sex who is a good match for you. There is a need for a method that can solve these issues and make partner searching more effective and less stressful. [Means for solving the problem]

[0006] The present invention provides a love-talk dialogue system that uses a communication app such as LINE. This system includes the following means: means for engaging in dialogue with users and collecting information about love, means for storing the collected information in a database and analyzing it, means for using the analysis results to extract potential matches with other users, means for a dialogue system linked to multiple users to engage in dialogue and improve matching accuracy, means for presenting potential matches to users and arranging date dates, means for collecting user feedback after dates and improving the accuracy of the next match, means for analyzing user feedback, updating the profile database, and means for improving matching accuracy using an algorithm.

[0007] This allows users to minimize the need for tedious messaging and to be matched with their ideal partner with high accuracy. Furthermore, by improving the accuracy of the next match based on feedback, it is possible to support the building of long-term relationships.

[0008] "User" means an individual who uses the system to provide information about their relationship.

[0009] "Dialogue" is the act of a user communicating with a system using natural language.

[0010] "Means for collecting information" refers to a program or device that has the function of collecting information about love from users.

[0011] A "database" is a data management system that systematically stores and manages collected information for later retrieval and analysis.

[0012] "Means for analysis" refers to a program or device that has the function of extracting collected information from a database and analyzing it using a specific algorithm.

[0013] The "means for extracting match candidates" refers to a program or device that has the function of evaluating compatibility with other users based on the analysis results and selecting the most suitable match partner.

[0014] A "dialogue system" is a system in which AI with information about multiple users engages in dialogue to improve matching accuracy.

[0015] A "means for arranging a date" is a program or device that has the function of arranging dates between matched users and proposing a date that suits both users' schedules.

[0016] A "means for collecting feedback" is a program or device that has the function of collecting impressions and evaluations from users after a date.

[0017] A "profile database" is a database that stores detailed information about each user and uses that information for analysis and matching.

[0018] "Algorithm" means a computational procedure or methodology used to analyze collected information and improve compatibility or matching accuracy. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an algorithm that arranges date dates, and a means of collecting feedback.

[0041] Program processing overview

[0042] A conversation between the user and the love-talk AI

[0043] Users and devices

[0044] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[0045] From the device to the server

[0046] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server analyzes the user's answers and adjusts the content of the next conversation.

[0047] Love talk AI conversation and matching

[0048] server

[0049] The server analyzes the profile database to find commonalities and compatibility with other users. The love-talking AIs associated with multiple users converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user likes science fiction movies" and "My user also likes science fiction movies."

[0050] Matching candidates and date scheduling

[0051] From the server to the user

[0052] The server presents the matched users with a suggestion to arrange a date. For example, the server might suggest, "Would you like to schedule a date for next Saturday at 3 p.m.?" If the user agrees, the server notifies both parties of the date details.

[0053] Post-date feedback and rematching

[0054] Users and devices

[0055] After the date, the user again communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[0056] From the device to the server

[0057] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[0058] Specific examples of processing

[0059] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[0060] User: "Hello, nice to meet you."

[0061] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[0062] User: "I like sci-fi movies."

[0063] 2. The AI ​​stores the user's answers in a database

[0064] Server: Add "SF movie lover" to the user's profile.

[0065] 3. The server finds common ground with other users

[0066] Server: "User A and User B both like science fiction movies."

[0067] 4. Propose potential matches and arrange dates

[0068] Server: "Would you like to schedule a date for next Saturday at 3pm?"

[0069] User: "Yes, please."

[0070] 5. Collect post-date feedback and update your profile

[0071] User: "The date was so much fun. I hope to see you again."

[0072] Server: "'High dating satisfaction' has been added to User A's profile."

[0073] This system allows users to experience high-precision matching while minimizing tedious messaging, and utilizes feedback to help build long-term relationships.

[0074] The processing flow will be explained below.

[0075] Program processing steps

[0076] Step 1:

[0077] The user opens the LINE app and starts a conversation with the love-talk AI.

[0078] Users launch the LINE app and talk to the love-talk AI.

[0079] The Love Talk AI asks users questions about love.

[0080] Specific behavior:

[0081] User: "Hi, how are you doing?"

[0082] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[0083] Step 2:

[0084] The love story AI sends the user's answers to a database

[0085] The user's answers are sent to the server in real time.

[0086] The server receives the user's answers and stores them in a profile database.

[0087] Specific behavior:

[0088] User: "I'd like someone who is kind and likes movies."

[0089] Server: "I've added the 'kind and movie-loving' information to the profile database."

[0090] Step 3:

[0091] The server analyzes the database and finds commonalities with other users.

[0092] The server analyzes the information in the database and searches for other users who share common interests and values.

[0093] Specific behavior:

[0094] Server: "User A and User B both love movies, especially science fiction movies."

[0095] Step 4:

[0096] Love talk AIs talk to each other to improve matching accuracy

[0097] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[0098] Specific behavior:

[0099] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[0100] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[0101] Step 5:

[0102] The server presents potential matches to the user

[0103] The server notifies the user of highly accurate matching candidates.

[0104] Specific behavior:

[0105] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[0106] Step 6:

[0107] Arrange a date

[0108] The server coordinates with potential matches and suggests dates.

[0109] Specific behavior:

[0110] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[0111] User: "Yes, please."

[0112] Step 7:

[0113] Gather post-date feedback

[0114] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[0115] The terminal sends the feedback to the server.

[0116] Specific behavior:

[0117] Love Talk AI: "How was your date? Do you want to see me again?"

[0118] User: "It was so much fun! I hope to see you again."

[0119] Step 8:

[0120] The server analyzes your feedback and updates your profile

[0121] The server analyzes the collected feedback and updates the user profile database.

[0122] Specific behavior:

[0123] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[0124] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Furthermore, by improving the accuracy of the next match based on feedback, it is possible to build a long-term relationship.

[0125] Example 1

[0126] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0127] Conventional matching systems have difficulty effectively collecting and analyzing information about users' romantic relationships and performing highly accurate matching. Furthermore, they lack a method for appropriately utilizing user feedback to improve the accuracy of the next match. This has led to issues such as a decrease in user satisfaction and difficulty in building long-term relationships.

[0128] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0129] In this invention, the server includes: means for interacting with users and collecting information about their romantic relationships; means for storing the collected information in a database and analyzing it using a generative AI model; means for generating prompts based on the analysis results and extracting potential matches with other users; means for a dialogue system associated with multiple users to interact with the users and use the generative AI model to improve the accuracy of matching; means for presenting potential matches to the users and arranging date dates; and means for collecting user feedback after the date and improving the accuracy of the next match. This makes it possible to efficiently collect and analyze information about users' romantic relationships and achieve high-precision matching. Furthermore, by utilizing the feedback, the accuracy of the next match can be improved, increasing user satisfaction and supporting the building of long-term relationships.

[0130] "User" means any individual or entity that uses the System.

[0131] A "dialogue system" is a system that communicates with users in natural language.

[0132] "Information about love" refers to information about a user's interests, preferences, opinions, experiences, etc. regarding love.

[0133] A "database" is a system for organizing and storing information, making it easy to retrieve when needed.

[0134] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze input information and generate new content or answers. Specifically, it refers to models that perform natural language processing and text generation.

[0135] A "prompt" is text or instructions that are input into a generative AI model, allowing the AI ​​to generate an appropriate response or analysis result.

[0136] "Matching candidates" are other users who are suggested to a user and who are likely to have commonalities or compatibility with the user.

[0137] "Feedback" refers to the impressions and evaluations that users provide to the system after use.

[0138] A "profile database" is a database that stores information about user characteristics and interests.

[0139] An "algorithm" is a set of steps or a computational method for solving a particular problem.

[0140] The present invention relates to a system that uses a communication app to collect information about a user's romantic interests and perform highly accurate matching. The system allows users to interactively provide their romantic preferences and wishes, and based on that, the system proposes optimal matches.

[0141] System configuration

[0142] The system consists of the following elements:

[0143] 1. User device: smartphone or tablet (iOS, Android).

[0144] 2. Communication app: LINE.

[0145] 3. Server: High-performance cloud server (AWS, Google Cloud).

[0146] 4. Love Talk AI: Generative AI models (such as GPT-3).

[0147] 5. Profile database: NoSQL database (MongoDB, Firebase).

[0148] Program processing overview

[0149] First, the user opens a communication app and starts a conversation with the love-talk AI. Through this conversation, information about the user's love life is collected. For example, the user might respond as follows:

[0150] User: Hello, nice to meet you.

[0151] AI: Hello! Let's talk about love today. What is your favorite movie genre?

[0152] User: I like sci-fi movies.

[0153] The device sends this information to a server in real time. The server analyzes the received information using a generative AI model (such as GPT-3) and stores the results in a database. Specifically, the tag "SF movie lover" is added to the user's profile as analyzed information.

[0154] The matching process

[0155] The server analyzes the information in the profile database to find other users with whom the user has common interests and good chemistry. It uses a generative AI model to generate prompts and appropriately analyzes various user information. Specific examples of prompts include:

[0156] Example prompt 1: The user has initiated a new interaction. Please ask a question.

[0157] Example prompt 2: The user likes science fiction movies. Create the following question:

[0158] Example prompt 3: I received some post-date feedback. Please add this information to your profile.

[0159] Date scheduling and feedback

[0160] Based on the analysis results, the server will suggest the best match candidates to the user. For example, it might suggest to the user, "Would you like to schedule a date for next Saturday at 3 PM?" If the user agrees, the date is confirmed. After the date, the user provides feedback through the LINE app:

[0161] User: The date was so much fun. I hope to see you again.

[0162] This feedback is sent from the device to the server, where it is analyzed again using the generative AI model and the results are added to the profile database. This feedback information is used to improve the accuracy of the next match.

[0163] System Benefits

[0164] The system allows users to easily provide information about their romantic interests through an interactive format, and uses a generative AI model to achieve highly accurate matches. Furthermore, by utilizing user feedback, the system can improve the accuracy of the next match and help build long-term relationships.

[0165] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0166] Step 1:

[0167] A user starts a conversation with a love story AI for the first time on the LINE app.

[0168] Subject: User

[0169] Specific operation: The user opens the communication app (LINE), adds the love talk AI as a friend, and begins a conversation.

[0170] Input: User's initial message (e.g. "Hello, nice to meet you.")

[0171] Output: Response from the love talk AI (e.g., "Hello! Let's talk about love today. What's your favorite movie genre?")

[0172] Data processing: Obtain user messages and provide them as prompts to the AI

[0173] Step 2:

[0174] User responses are sent to the server in real time

[0175] Subject: Terminal

[0176] Specific operation: Using LINE's API, the user's response is extracted and sent to the server as an HTTP request.

[0177] Input: User's response message (e.g., "I like science fiction movies.")

[0178] Output: A reply message is sent to the server

[0179] Data processing: Convert the user's response into JSON format and send it to the server

[0180] Step 3:

[0181] The server analyzes the user's answers and stores them in a database

[0182] Subject: Server

[0183] Specific operation: The server analyzes the received user's answer using a generative AI model (such as GPT-3) to extract meaning. It generates tags such as "I like science fiction movies."

[0184] Input: Answer data in JSON format (e.g., "I like science fiction movies.")

[0185] Output: Analysis results stored in a database (e.g., a tag such as "SF movie lover")

[0186] Data processing: Input prompts into the generative AI model, extract the meaning of the answers, and add them as tags to the database

[0187] Step 4:

[0188] The server scans the database for commonalities

[0189] Subject: Server

[0190] What it does: Uses a database query to create a list of other users who share the same tag "I like science fiction movies."

[0191] Input: User tags (e.g. "I like sci-fi movies")

[0192] Output: A list of other users with common tags

[0193] Data manipulation: query the database to find users with common tags

[0194] Step 5:

[0195] The server selects the best match from a list of users with common interests.

[0196] Subject: Server

[0197] Specific operation: Using an AI algorithm, scores are assigned based on the number of commonalities and the content of the feedback, and the user with the highest score is selected.

[0198] Input: List of users with common tags, feedback data

[0199] Output: Best matching candidates

[0200] Data processing: Run a scoring algorithm to select the best candidates

[0201] Step 6:

[0202] The server will suggest dates to the user.

[0203] Subject: Server

[0204] Specific operation: The server uses LINE's message sending API to send a date suggestion message to the user.

[0205] Input: Match candidate data, proposal message template

[0206] Output: Suggestion message sent to the user's LINE app

[0207] Data processing: Generate a suggested message and send it via the LINE API

[0208] Step 7:

[0209] Users submit feedback after a date

[0210] Subject: User

[0211] Specific operation: The user opens the LINE app and sends their impressions of the date to the love story AI.

[0212] Input: User's feedback message (e.g., "The date was great. I hope to see you again.")

[0213] Output: A feedback message is sent to the terminal

[0214] Data processing: Obtaining user feedback as text

[0215] Step 8:

[0216] The device sends feedback to the server

[0217] Subject: Terminal

[0218] Specific behavior: Uses the LINE API to extract user feedback messages and send them to the server as HTTP requests.

[0219] Input: Feedback message (e.g., "The date was great. I hope to see you again.")

[0220] Output: Feedback is sent to the server

[0221] Data processing: Convert the feedback message into JSON format and send it to the server

[0222] Step 9:

[0223] The server analyzes the feedback and updates the database

[0224] Subject: Server

[0225] Specific operation: The server inputs the feedback into the generative AI model, extracts a rating such as "high satisfaction," and adds that rating to the profile database.

[0226] Input: Feedback data in JSON format

[0227] Output: Evaluation result updated in the database (e.g., "Highly satisfied")

[0228] Data processing: Analyze using a generative AI model and add the evaluation results to the database as tags

[0229] (Application example 1)

[0230] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0231] In modern society, demand for online dating services is increasing. However, traditional systems struggle to accurately grasp users' detailed hobbies and interests, limiting the accuracy of matching. Furthermore, they often fail to provide a smooth process leading to an actual date, resulting in an unsatisfactory user experience. Furthermore, there was a lack of a mechanism for collecting user feedback and incorporating it into future matches.

[0232] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0233] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing and analyzing the collected information in a database, means for extracting potential matches with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for simulating a virtual date using virtual reality, means for presenting potential matches to the user and arranging the date, and means for collecting user feedback after the date to improve the accuracy of the next match. This makes it possible to accurately grasp the user's detailed hobbies and interests and provide highly accurate matches. Furthermore, the virtual date simulation can provide users with an experience similar to a real date, improving the accuracy of the next match.

[0234] The "means of interacting with the user and collecting information" refers to an interface that analyzes the text and voice data entered by the user and extracts their romantic interests and preferences.

[0235] "Means for storing and analyzing in a database" refers to a system for storing collected user information in a digital database and analyzing that data using an algorithm.

[0236] "Means for extracting matching candidates" is a function that identifies people who share common interests and preferences among multiple users based on analyzed data.

[0237] "Means for a dialogue system to dialogue and improve matching accuracy" refers to a process in which automated dialogue systems associated with multiple users communicate and exchange information with each other to improve matching accuracy.

[0238] "Means for simulating a virtual date using virtual reality" is a system that uses virtual reality (VR) technology to allow users to experience a date in a digital space.

[0239] "Means for arranging date dates" is a function that allows users to propose a date and time for a date and reflect it in the schedule after obtaining mutual consent.

[0240] "Means for collecting user feedback and improving the accuracy of the next match" refers to a system that collects and analyzes feedback provided by users after a date and reflects the results in the next match.

[0241] "Means for updating the profile database" refers to the ability to keep the existing database up to date with collected feedback and new user information.

[0242] An "algorithm to improve matching accuracy" is a calculation method or procedure for improving matching accuracy based on user information and feedback.

[0243] "Means of improving the accuracy of analysis by inputting prompt sentences into a generative AI model" refers to the process in which a dialogue system inputs prompt sentences containing user information and intentions into a generative AI, thereby obtaining more accurate analysis results.

[0244] This invention relates to a system that collects information related to love from users and realizes highly accurate matching based on that information. The system mainly consists of a terminal that interacts with users, a server that manages and analyzes the collected information, a virtual dating simulation using virtual reality (VR) technology, and a means of collecting feedback.

[0245] First, a user uses a communication app to converse with a dialogue system on their device. This dialogue system collects answers from the user to questions about love. For example, if a user is asked, "Where is your ideal date spot?", the system will respond, "A movie theater." This answer is sent to the server in real time.

[0246] The server then receives the collected information and stores it in a database. The stored information is then analyzed to extract the user's preferences and interests. This analysis is performed using a generative AI model. For example, there is a process for adding "users who like cinemas" to a user's profile.

[0247] The server then finds commonalities with other users and extracts potential matches. A dialogue system linked to multiple users exchanges information to improve the accuracy of the match. For example, the server can extract potential matches between users who share the same favorite movie genres.

[0248] Once this match candidate is confirmed, the server will propose a virtual date to the user. This proposal will utilize virtual reality (VR) technology. For example, a proposal may be sent to the user saying, "Would you like to simulate a virtual movie date next Saturday at 3 p.m.?" If the user agrees, the virtual date simulation will be carried out.

[0249] Once the date is over, the user provides feedback again through the dialogue system. This feedback is sent to the server again and stored in the database. For example, it may include feedback such as, "The date was really fun. I'd like to meet you again." This feedback information is reflected in the next match.

[0250] The present invention also includes a process using a generative AI model. Specifically, a means is provided for the AI ​​model to improve the accuracy of analysis using prompt sentences. For example, there is a prompt sentence that reads, "Please identify the user's hobby from the following text: movie theaters."

[0251] As a result, this system realizes a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, making it possible to provide highly accurate love matching.

[0252] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0253] Step 1: Collect user information

[0254] The user opens a communication app and starts a conversation with the dialogue system. The device collects the text data entered by the user and sends the answer to the server in real time. For example, if the user answers, "My favorite movie genre is science fiction," that information is sent. (Input) User's text data (Output) Text data received by the server

[0255] Step 2: Store and analyze data

[0256] The server stores the received text data in a database. After storage, the data is analyzed using a generative AI model to extract the user's preferences and interests. At this time, a profile of "users who like science fiction movies" is generated from the information that "favorite movie genre is science fiction." (Input) Text data stored on the server (Output) Analyzed user profile data

[0257] Step 3: Extracting match candidates

[0258] Based on the analyzed profile data, the server finds commonalities with other users and extracts matching candidates. At this time, a dialogue system linked to multiple users engages in dialogue, and by exchanging common interests and preferences, the accuracy of the match is improved. For example, a commonality such as "User A and User B both like science fiction movies" can be found. (Input) Analyzed user profile data (Output) List of matching candidates

[0259] Step 4: Propose a virtual date

[0260] The server proposes a virtual date to the user based on the list of match candidates. Specifically, it proposes a simulated date using virtual reality (VR) technology. The proposal includes a message such as "Would you like to simulate a virtual movie date next Saturday at 3pm?" (Input) Match candidate list (Output) Date proposal message to the user

[0261] Step 5: Conduct a virtual date

[0262] If the user agrees to the virtual date, a dating simulation using virtual reality (VR) technology will be executed. The user can experience the virtual date through their device, experiencing a sensation similar to a real date. (Input) User's consent to the date (Output) Execution of the virtual date simulation

[0263] Step 6: Gather feedback

[0264] When the date is over, the user again provides feedback through the dialogue system. The terminal collects the user's feedback and sends the information back to the server. For example, the collected feedback is "The date was very fun. I'd like to see you again." (Input) User's feedback text (Output) Feedback data received by the server

[0265] Step 7: Analyze feedback and update the database

[0266] The server analyzes the received feedback data and updates the profile database. The analyzed feedback information is used to improve the accuracy of the next match. For example, information such as "high dating satisfaction" is added to the profile. (Input) Feedback data stored on the server (Output) Updated user profile data

[0267] Through these steps, the system achieves a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, enabling it to provide highly accurate love matching.

[0268] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0269] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and uses an emotion engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion engine, an algorithm that arranges date dates, and a means of collecting feedback.

[0270] Program processing overview

[0271] A conversation between the user and the love-talk AI

[0272] Users and devices

[0273] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[0274] From the device to the server

[0275] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server then uses an emotion engine to analyze the user's emotional state and adjust the content of the next conversation.

[0276] Use of emotion engine

[0277] Server and Emotion Engine

[0278] The server sends the user's text data collected during the conversation to the emotion engine. The emotion engine analyzes the text data and recognizes the user's emotions (happiness, sadness, anger, etc.). For example, if a user makes a negative statement such as "My love life hasn't been going well lately...", the emotion engine will recognize the user's emotion as "sadness."

[0279] Love talk AI conversation and matching

[0280] server

[0281] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user has been having trouble with love recently" and "My user is also having trouble with love."

[0282] Matching candidates and date scheduling

[0283] From the server to the user

[0284] The server presents the matching results to the user and makes a suggestion to arrange the date. For example, the server might say, "We suggest scheduling a date for next Saturday at 3:00 PM. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[0285] Post-date feedback and rematching

[0286] Users and devices

[0287] After the date, the user communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[0288] From the device to the server

[0289] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[0290] Specific examples of processing

[0291] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[0292] User: "Hello, nice to meet you."

[0293] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[0294] User: "I like sci-fi movies."

[0295] 2. The AI ​​stores the user's answers in a database and sends them to the emotion engine.

[0296] Server: Add "SF movie lover" to the user's profile and analyze emotions using the emotion engine.

[0297] 3. The emotion engine recognizes the user's emotions and adjusts the dialogue accordingly.

[0298] Emotion Engine: "The user's emotion is 'joy'."

[0299] 4. The server finds commonalities with other users and suggests potential matches.

[0300] Server: "User A and User B both love movies, especially science fiction movies."

[0301] 5. Arrange a date

[0302] Server: "I suggest we schedule a date for next Saturday at 3pm. Would you accept?"

[0303] User: "Yes, please."

[0304] 6. Collect post-date feedback and update your profile

[0305] User: "The date was so much fun! I hope to see you again."

[0306] Server: "'High dating satisfaction' has been added to User A's profile."

[0307] This system recognizes users' emotions, allowing them to effectively engage in conversations and experience highly accurate matching with the perfect partner. By utilizing feedback, it is possible to build long-term relationships.

[0308] The processing flow will be explained below.

[0309] Program processing steps

[0310] Step 1:

[0311] The user opens the LINE app and starts a conversation with the love-talk AI.

[0312] Users launch the LINE app and talk to the love-talk AI.

[0313] The Love Talk AI asks users questions about love.

[0314] Specific behavior:

[0315] User: "Hi, how are you doing?"

[0316] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[0317] Step 2:

[0318] The love story AI sends the user's answers to a database

[0319] The user's answers are sent to the server in real time.

[0320] The server receives the user's answers and stores them in a profile database.

[0321] Specific behavior:

[0322] User: "I'd like someone who is kind and likes movies."

[0323] Server: "I've added the 'kind and movie-loving' information to the profile database."

[0324] Step 3:

[0325] The server analyzes the user's emotions using an emotion engine.

[0326] The server sends the text data collected during the conversation to the emotion engine.

[0327] The emotion engine analyzes text data and recognizes the user's emotions (joy, sadness, anger, etc.).

[0328] Specific behavior:

[0329] User: "I've had some bad luck with love lately..."

[0330] Emotion Engine: "The user's emotion was identified as 'sadness'."

[0331] Step 4:

[0332] AI adjusts the dialogue content based on the results of the emotion engine

[0333] The love talk AI adjusts the next question and response based on the analysis results of the emotion engine.

[0334] Specific behavior:

[0335] Love Talk AI: "You're having trouble with love, so why don't you talk more about it?"

[0336] Step 5:

[0337] The server analyzes the database and finds commonalities with other users.

[0338] The server analyzes the information and emotional data in the database to find other users who share common interests and values.

[0339] Specific behavior:

[0340] Server: "User A and User B both love movies, especially science fiction movies."

[0341] Step 6:

[0342] Love talk AIs talk to each other to improve matching accuracy

[0343] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[0344] Specific behavior:

[0345] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[0346] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[0347] Step 7:

[0348] The server presents potential matches to the user

[0349] The server notifies the user of highly accurate matching candidates.

[0350] Specific behavior:

[0351] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[0352] Step 8:

[0353] Arrange a date

[0354] The server coordinates with potential matches and suggests dates.

[0355] Specific behavior:

[0356] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[0357] User: "Yes, please."

[0358] Step 9:

[0359] Gather post-date feedback

[0360] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[0361] The terminal sends the feedback to the server.

[0362] Specific behavior:

[0363] Love Talk AI: "How was your date? Do you want to see me again?"

[0364] User: "It was so much fun! I hope to see you again."

[0365] Step 10:

[0366] The server analyzes your feedback and updates your profile

[0367] The server analyzes the collected feedback and updates the user profile database.

[0368] Specific behavior:

[0369] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[0370] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Feedback can also be used to improve the accuracy of future matches and build long-term relationships.

[0371] Example 2

[0372] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0373] Conventional dating systems have difficulty achieving more personalized matching accuracy because they do not take into account the user's emotional state. Furthermore, they lack a mechanism for effectively utilizing user feedback, making it difficult to increase long-term satisfaction. The present invention aims to solve these problems by effectively utilizing the user's emotional state and feedback to achieve highly accurate matching and reflecting post-date feedback in the next match.

[0374] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for interacting with the user and collecting information about the user's love life, a means for storing and analyzing the collected information in a database, and a means for transmitting the collected information to an emotion analysis engine and recognizing the user's emotional state. This enables the user's emotional state to be analyzed in real time and personalized responses to be provided. In addition, the server includes a means for extracting match candidates with other users using the analysis results, a means for a dialogue system linked to multiple users to interact and improve matching accuracy, a means for presenting match candidates to the user and arranging a date date, and a means for collecting user feedback after the date and improving the accuracy of the next match. This allows the user to experience matching with the most suitable partner after having their emotional state understood, and by incorporating the feedback, it is possible to continuously achieve high-satisfaction matching.

[0375] A "user" is someone who uses the system to provide information about love and romance and receives services such as dialogue and matching.

[0376] A "dialogue system" is a software mechanism that communicates with users and collects information through questions and answers.

[0377] A "database" is an information system that stores collected information in an organized manner and allows it to be searched and analyzed as needed.

[0378] An "emotion analysis engine" is a technology that analyzes text data obtained from users and recognizes their emotional state (joy, sadness, anger, etc.) from its content.

[0379] "Matching candidates" are other users who are presumed to be compatible with the user based on collected and analyzed information.

[0380] "Feedback" refers to the impressions and opinions provided by users after a date, etc., and is information that the system uses to improve the accuracy of matching next time.

[0381] A "profile database" is an information system for storing data such as a user's basic information, hobbies and preferences, and past feedback.

[0382] "Algorithm" refers to the calculation procedures and methods used to achieve optimal matching based on collected and analyzed user information.

[0383] "Matching accuracy" is an indicator of how suitable and satisfying the partner suggested by the system is for the user.

[0384] This invention relates to a system that uses a communication app to collect information about users' romantic relationships and uses an emotion analysis engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion analysis engine, a matching algorithm, a means of arranging date dates, and a means of collecting feedback.

[0385] Program processing overview

[0386] User initiated interaction

[0387] The user opens a communication app (for example, a messaging app) and starts a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, when the user is asked, "What kind of person is your ideal partner?", they answer, "Someone who loves movies and is kind."

[0388] Sending information from the device to the server

[0389] The device sends the user's answers in real time to the server, which converts the data into an appropriate format and forwards it to the server.

[0390] Server-based information analysis and emotion recognition

[0391] The server receives the transmitted data and stores it in the user's profile database. The server also sends the collected information to an emotion analysis engine, which recognizes the user's emotional state (happiness, sadness, anger, etc.) from the text data. For example, if a user makes a negative statement such as "I haven't been doing well in love lately...", the emotion analysis engine will recognize that emotion as "sadness."

[0392] Selection of match candidates and information exchange

[0393] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, two love-talking AIs might share information such as "This user has been having trouble with love recently," and match users who share common problems.

[0394] Presenting matching results and arranging dates

[0395] Based on the analysis results, the server presents the user with the best possible match candidates. For example, it might suggest, "We suggest scheduling a date for next Saturday at 3 p.m. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[0396] Post-date feedback and profile updates

[0397] After the date, the user communicates their thoughts to the love-talk AI through the LINE app. An example of feedback is, "I had a great time. I'd like to see you again." The device sends this feedback to the server, which adds it to the profile database. The analyzed feedback information is used for the next match.

[0398] Examples of prompt statements

[0399] 1. "Hello, what love story would you like to talk about today?"

[0400] 2. "What movies have you seen recently? Do you have any recommendations?"

[0401] 3. "What are your ideal partner's criteria?"

[0402] Hardware and software used

[0403] This system uses smartphones and tablets as user devices and a high-performance cloud server as the server. The software used includes a communication app, a database management system (e.g., MySQL, PostgreSQL), a sentiment analysis engine (e.g., Google Cloud Natural Language API), and a program for implementing the matching algorithm.

[0404] This system allows users to effectively engage in conversations while being aware of their own emotions, and also allows users to experience highly accurate matching with their ideal partner, and by utilizing feedback after the date, it is possible to build long-term relationships.

[0405] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0406] Step 1:

[0407] The user opens the LINE app and starts a conversation with the love talk AI. The prompt "Hello, it's time to talk about love. Right away, what's your favorite movie genre?" is displayed. The user types "I like science fiction movies." This input triggers the next process.

[0408] Step 2:

[0409] The terminal sends input data from the user to the server in real time. The sent data is text data such as "I like science fiction movies." The server receives the input data, encodes it in UTF-8 format, and prepares it for analysis.

[0410] Step 3:

[0411] The server stores the received data in a profile database. Specifically, the attributes "user ID" and "fan of science fiction movies" are added to the database. At the same time, the server sends the text data to an emotion analysis engine. The emotion analysis engine uses natural language processing technology to analyze the data as "joy" and returns the result to the server.

[0412] Step 4:

[0413] The server analyzes the profile database based on the "joy" result obtained from the emotion analysis engine to find commonalities with other users. Specifically, it searches for users who also "like science fiction movies" and whose emotional state is "joy." When commonalities are found, the love-talk AIs exchange user information.

[0414] Step 5:

[0415] Based on the analysis results, the server selects the best match candidate for each user. For example, since user A and user B both like science fiction movies, it is assumed that they are compatible. The server presents this information to user A as a prompt: "I suggest scheduling a date for next Saturday at 3 p.m. Would you agree?"

[0416] Step 6:

[0417] If User A responds with "Yes, please," the input is again sent by the device to the server. The server confirms the date and notifies both User A and User B of the date details, including the date, time, and location.

[0418] Step 7:

[0419] After the date, the user sends feedback to the love story AI through the LINE app. For example, the user might say, "The date was so much fun! I'd like to see you again." This input data is sent from the device to the server.

[0420] Step 8:

[0421] The server receives the feedback, adds it to the profile database as "high dating satisfaction," and analyzes the feedback information to use it to improve the accuracy of the next match.

[0422] This process allows the system to analyze users' emotions in real time, providing personalized conversations and matching. It also uses post-date feedback to improve future matches, increasing long-term satisfaction.

[0423] (Application example 2)

[0424] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0425] Existing communication apps have difficulty efficiently collecting and accurately analyzing users' romantic information for matching. Furthermore, they lack mechanisms for adjusting advertising content in real time based on the user's emotional state. Therefore, improving the accuracy of romantic information collection and analysis, as well as the user experience, remains a challenge.

[0426] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0427] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing the collected information in a database and analyzing it, means for extracting match candidates with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for displaying advertisements in real time based on the user's emotional state, means for presenting match candidates to the user and arranging date dates, and means for collecting user feedback after the date and improving the accuracy of the next match, thereby enabling highly accurate matching and advertisement display that takes the user's emotional state into consideration.

[0428] "User" refers to an individual who uses the system to provide information about love.

[0429] An "interactive system" refers to a program or device that communicates with users and collects romantic information.

[0430] A "database" is a collection of structured data used to organize and store collected information and perform necessary analysis.

[0431] "Matching candidates" are other users who are considered to be compatible and are suggested to the user as a result of the system's analysis.

[0432] "Emotional state" refers to the psychological state or mood that can be inferred from a user's facial expressions and comments.

[0433] "Advertisement" means information displayed to attract a user's attention and promote a particular product or service.

[0434] "Scheduling" is the process of determining a suitable date and time for matched users to meet in person.

[0435] "Feedback" refers to the impressions and evaluations provided by users after using the service.

[0436] This invention relates to a system that uses a communication app to collect information about a user's romantic relationship and utilizes an emotion engine to perform highly accurate matching. It also provides a mechanism for adjusting advertising content in real time based on the user's emotional state.

[0437] Program Generation and Implementation

[0438] The system consists of the following elements:

[0439] 1. Devices that interact with the user:

[0440] Users interact with the system using LINE or a similar communication app.

[0441] The user's responses and emotional state are analyzed in real time.

[0442] 2. Server that manages and analyzes information:

[0443] The server stores the information about the user's love life sent from the terminal in a database.

[0444] The information is analyzed using an emotion engine to recognize the user's emotional state.

[0445] 3. Emotion Engine:

[0446] The emotion engine analyzes the collected text data and identifies the user's emotions.

[0447] The resulting emotional data is used to tailor the content of the dialogue and to determine the display of advertisements.

[0448] 4. Matching Algorithm:

[0449] Based on profile data and emotional data, the server identifies commonalities and compatibility with other users and extracts potential matches.

[0450] A dialogue system linked to multiple users exchanges information, improving the accuracy of matching.

[0451] 5. Advertising display module:

[0452] Ad content is adjusted and displayed in real time based on the user's emotional state.

[0453] For example, if a user is feeling "happy," entertainment-related ads will be displayed, and if they are feeling "sad," ads for relaxation services will be displayed.

[0454] Specific examples of processing

[0455] 1. Start a dialogue with the user:

[0456] Users open the LINE app and begin a conversation with the love-talk AI.

[0457] For example: "Hi, what movie do you feel like watching today?"

[0458] The user answers, "Science fiction movies."

[0459] 2. Sentiment Analysis and Data Storage:

[0460] The user's answers are sent to the server and stored in a database.

[0461] The emotion engine recognizes the user's emotional state as "joy."

[0462] 3. Matching Process:

[0463] The server uses the collected data to find commonalities with other users.

[0464] Example: Extract matching candidates based on "This user likes movies" and "This user also likes movies."

[0465] 4. Advertising:

[0466] Select appropriate ads based on the user's emotional state and display them in real time.

[0467] Examples: "New sci-fi movie screening information" or "Relaxation products"

[0468] Prompt Sentence Examples

[0469] "The user's current emotional state has been identified as 'fun'. Suggest ads related to cinemas and leisure activities."

[0470] "The user's current emotional state has been identified as 'sad.' Suggest ads for products and services that will help them relax."

[0471] This invention allows users to experience highly accurate love matching and advertisements that adapt to their emotional state, which increases user satisfaction and leads to the development of long-term relationships.

[0472] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0473] Step 1:

[0474] Initiate a conversation with the user

[0475] The user opens the LINE app and starts a conversation with the love-talk AI. As the user answers questions, the answers are sent from the device to the server in real time. The input is the user's text response (e.g., "I like science fiction movies"), and the output is sending this data to the server.

[0476] Step 2:

[0477] Collecting information and storing it in a database

[0478] The server receives the user's answers sent from the device and stores them in a database. The information is stored in a structured format for later analysis. The input is the user's answers and the output is the data stored in the database.

[0479] Step 3:

[0480] Analyzing emotional states

[0481] The server sends the collected text data to the emotion engine and analyzes the user's emotional state. For example, from the answer "I like science fiction movies," it recognizes "joy." The input is text data, and the output is the emotional state (e.g., "joy"). Here, natural language processing technology is used to analyze the text data.

[0482] Step 4:

[0483] Extracting match candidates

[0484] The server finds commonalities and compatibility with other users based on the information stored in the database and the results of emotional analysis. Match candidates are selected by an algorithm. The input is the user's profile data and emotional data, and the output is a list of match candidates. Specifically, commonalities are found based on hobbies and emotional states.

[0485] Step 5:

[0486] Advertisement content can be adjusted in real time

[0487] The server selects appropriate advertisements based on the user's emotional state and displays them through the terminal. For example, when the user is feeling "fun," entertainment-related advertisements are displayed. The input is emotional state data, and the output is the advertisement to be displayed. Here, the process of selecting appropriate advertisements from an advertisement database is carried out.

[0488] Step 6:

[0489] Present potential matches to the user

[0490] The server presents the selected matches to the user and proposes a date. If the user accepts the proposal, the date details are sent to both parties. The input is a list of matches, and the output is the user's acceptance and the date information.

[0491] Step 7:

[0492] Collect feedback to improve the accuracy of your next match

[0493] After the date, the user shares their thoughts through the LINE app, and the feedback is sent to the server. The collected feedback is added to a database and used for the next match. The input is the feedback data, and the output is updated profile data. Text analysis technology is used for feedback analysis.

[0494] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0495] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0496] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0497] [Second embodiment]

[0498] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0499] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0500] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0501] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0502] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0503] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0504] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0505] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0506] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0507] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0508] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0509] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0510] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an algorithm that arranges date dates, and a means of collecting feedback.

[0511] Program processing overview

[0512] A conversation between the user and the love-talk AI

[0513] Users and devices

[0514] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[0515] From the device to the server

[0516] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server analyzes the user's answers and adjusts the content of the next conversation.

[0517] Love talk AI conversation and matching

[0518] server

[0519] The server analyzes the profile database to find commonalities and compatibility with other users. The love-talking AIs associated with multiple users converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user likes science fiction movies" and "My user also likes science fiction movies."

[0520] Matching candidates and date scheduling

[0521] From the server to the user

[0522] The server presents the matched users with a suggestion to arrange a date. For example, the server might suggest, "Would you like to schedule a date for next Saturday at 3 p.m.?" If the user agrees, the server notifies both parties of the date details.

[0523] Post-date feedback and rematching

[0524] Users and devices

[0525] After the date, the user again communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[0526] From the device to the server

[0527] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[0528] Specific examples of processing

[0529] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[0530] User: "Hello, nice to meet you."

[0531] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[0532] User: "I like sci-fi movies."

[0533] 2. The AI ​​stores the user's answers in a database

[0534] Server: Add "SF movie lover" to the user's profile.

[0535] 3. The server finds common ground with other users

[0536] Server: "User A and User B both like science fiction movies."

[0537] 4. Propose potential matches and arrange dates

[0538] Server: "Would you like to schedule a date for next Saturday at 3pm?"

[0539] User: "Yes, please."

[0540] 5. Collect post-date feedback and update your profile

[0541] User: "The date was so much fun. I hope to see you again."

[0542] Server: "'High dating satisfaction' has been added to User A's profile."

[0543] This system allows users to experience high-precision matching while minimizing tedious messaging, and utilizes feedback to help build long-term relationships.

[0544] The processing flow will be explained below.

[0545] Program processing steps

[0546] Step 1:

[0547] The user opens the LINE app and starts a conversation with the love-talk AI.

[0548] Users launch the LINE app and talk to the love-talk AI.

[0549] The Love Talk AI asks users questions about love.

[0550] Specific behavior:

[0551] User: "Hi, how are you doing?"

[0552] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[0553] Step 2:

[0554] The love story AI sends the user's answers to a database

[0555] The user's answers are sent to the server in real time.

[0556] The server receives the user's answers and stores them in a profile database.

[0557] Specific behavior:

[0558] User: "I'd like someone who is kind and likes movies."

[0559] Server: "I've added the 'kind and movie-loving' information to the profile database."

[0560] Step 3:

[0561] The server analyzes the database and finds commonalities with other users.

[0562] The server analyzes the information in the database and searches for other users who share common interests and values.

[0563] Specific behavior:

[0564] Server: "User A and User B both love movies, especially science fiction movies."

[0565] Step 4:

[0566] Love talk AIs talk to each other to improve matching accuracy

[0567] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[0568] Specific behavior:

[0569] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[0570] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[0571] Step 5:

[0572] The server presents potential matches to the user

[0573] The server notifies the user of highly accurate matching candidates.

[0574] Specific behavior:

[0575] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[0576] Step 6:

[0577] Arrange a date

[0578] The server coordinates with potential matches and suggests dates.

[0579] Specific behavior:

[0580] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[0581] User: "Yes, please."

[0582] Step 7:

[0583] Gather post-date feedback

[0584] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[0585] The terminal sends the feedback to the server.

[0586] Specific behavior:

[0587] Love Talk AI: "How was your date? Do you want to see me again?"

[0588] User: "It was so much fun! I hope to see you again."

[0589] Step 8:

[0590] The server analyzes your feedback and updates your profile

[0591] The server analyzes the collected feedback and updates the user profile database.

[0592] Specific behavior:

[0593] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[0594] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Furthermore, by improving the accuracy of the next match based on feedback, it is possible to build a long-term relationship.

[0595] Example 1

[0596] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0597] Conventional matching systems have difficulty effectively collecting and analyzing information about users' romantic relationships and performing highly accurate matching. Furthermore, they lack a method for appropriately utilizing user feedback to improve the accuracy of the next match. This has led to issues such as a decrease in user satisfaction and difficulty in building long-term relationships.

[0598] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0599] In this invention, the server includes: means for interacting with users and collecting information about their romantic relationships; means for storing the collected information in a database and analyzing it using a generative AI model; means for generating prompts based on the analysis results and extracting potential matches with other users; means for a dialogue system associated with multiple users to interact with the users and use the generative AI model to improve the accuracy of matching; means for presenting potential matches to the users and arranging date dates; and means for collecting user feedback after the date and improving the accuracy of the next match. This makes it possible to efficiently collect and analyze information about users' romantic relationships and achieve high-precision matching. Furthermore, by utilizing the feedback, the accuracy of the next match can be improved, increasing user satisfaction and supporting the building of long-term relationships.

[0600] "User" means any individual or entity that uses the System.

[0601] A "dialogue system" is a system that communicates with users in natural language.

[0602] "Information about love" refers to information about a user's interests, preferences, opinions, experiences, etc. regarding love.

[0603] A "database" is a system for organizing and storing information, making it easy to retrieve when needed.

[0604] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze input information and generate new content or answers. Specifically, it refers to models that perform natural language processing and text generation.

[0605] A "prompt" is text or instructions that are input into a generative AI model, allowing the AI ​​to generate an appropriate response or analysis result.

[0606] "Matching candidates" are other users who are suggested to a user and who are likely to have commonalities or compatibility with the user.

[0607] "Feedback" refers to the impressions and evaluations that users provide to the system after use.

[0608] A "profile database" is a database that stores information about user characteristics and interests.

[0609] An "algorithm" is a set of steps or a computational method for solving a particular problem.

[0610] The present invention relates to a system that uses a communication app to collect information about a user's romantic interests and perform highly accurate matching. The system allows users to interactively provide their romantic preferences and wishes, and based on that, the system proposes optimal matches.

[0611] System configuration

[0612] The system consists of the following elements:

[0613] 1. User device: smartphone or tablet (iOS, Android).

[0614] 2. Communication app: LINE.

[0615] 3. Server: High-performance cloud server (AWS, Google Cloud).

[0616] 4. Love Talk AI: Generative AI models (such as GPT-3).

[0617] 5. Profile database: NoSQL database (MongoDB, Firebase).

[0618] Program processing overview

[0619] First, the user opens a communication app and starts a conversation with the love-talk AI. Through this conversation, information about the user's love life is collected. For example, the user might respond as follows:

[0620] User: Hello, nice to meet you.

[0621] AI: Hello! Let's talk about love today. What is your favorite movie genre?

[0622] User: I like sci-fi movies.

[0623] The device sends this information to a server in real time. The server analyzes the received information using a generative AI model (such as GPT-3) and stores the results in a database. Specifically, the tag "SF movie lover" is added to the user's profile as analyzed information.

[0624] The matching process

[0625] The server analyzes the information in the profile database to find other users with whom the user has common interests and good chemistry. It uses a generative AI model to generate prompts and appropriately analyzes various user information. Specific examples of prompts include:

[0626] Example prompt 1: The user has initiated a new interaction. Please ask a question.

[0627] Example prompt 2: The user likes science fiction movies. Create the following question:

[0628] Example prompt 3: I received some post-date feedback. Please add this information to your profile.

[0629] Date scheduling and feedback

[0630] Based on the analysis results, the server will suggest the best match candidates to the user. For example, it might suggest to the user, "Would you like to schedule a date for next Saturday at 3 PM?" If the user agrees, the date is confirmed. After the date, the user provides feedback through the LINE app:

[0631] User: The date was so much fun. I hope to see you again.

[0632] This feedback is sent from the device to the server, where it is analyzed again using the generative AI model and the results are added to the profile database. This feedback information is used to improve the accuracy of the next match.

[0633] System Benefits

[0634] The system allows users to easily provide information about their romantic interests through an interactive format, and uses a generative AI model to achieve highly accurate matches. Furthermore, by utilizing user feedback, the system can improve the accuracy of the next match and help build long-term relationships.

[0635] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0636] Step 1:

[0637] A user starts a conversation with a love story AI for the first time on the LINE app.

[0638] Subject: User

[0639] Specific operation: The user opens the communication app (LINE), adds the love talk AI as a friend, and begins a conversation.

[0640] Input: User's initial message (e.g. "Hello, nice to meet you.")

[0641] Output: Response from the love talk AI (e.g., "Hello! Let's talk about love today. What's your favorite movie genre?")

[0642] Data processing: Obtain user messages and provide them as prompts to the AI

[0643] Step 2:

[0644] User responses are sent to the server in real time

[0645] Subject: Terminal

[0646] Specific operation: Using LINE's API, the user's response is extracted and sent to the server as an HTTP request.

[0647] Input: User's response message (e.g., "I like science fiction movies.")

[0648] Output: A reply message is sent to the server

[0649] Data processing: Convert the user's response into JSON format and send it to the server

[0650] Step 3:

[0651] The server analyzes the user's answers and stores them in a database

[0652] Subject: Server

[0653] Specific operation: The server analyzes the received user's answer using a generative AI model (such as GPT-3) to extract meaning. It generates tags such as "I like science fiction movies."

[0654] Input: Answer data in JSON format (e.g., "I like science fiction movies.")

[0655] Output: Analysis results stored in a database (e.g., a tag such as "SF movie lover")

[0656] Data processing: Input prompts into the generative AI model, extract the meaning of the answers, and add them as tags to the database

[0657] Step 4:

[0658] The server scans the database for commonalities

[0659] Subject: Server

[0660] What it does: Uses a database query to create a list of other users who share the same tag "I like science fiction movies."

[0661] Input: User tags (e.g. "I like sci-fi movies")

[0662] Output: A list of other users with common tags

[0663] Data manipulation: query the database to find users with common tags

[0664] Step 5:

[0665] The server selects the best match from a list of users with common interests.

[0666] Subject: Server

[0667] Specific operation: Using an AI algorithm, scores are assigned based on the number of commonalities and the content of the feedback, and the user with the highest score is selected.

[0668] Input: List of users with common tags, feedback data

[0669] Output: Best matching candidates

[0670] Data processing: Run a scoring algorithm to select the best candidates

[0671] Step 6:

[0672] The server will suggest dates to the user.

[0673] Subject: Server

[0674] Specific operation: The server uses LINE's message sending API to send a date suggestion message to the user.

[0675] Input: Match candidate data, proposal message template

[0676] Output: Suggestion message sent to the user's LINE app

[0677] Data processing: Generate a suggested message and send it via the LINE API

[0678] Step 7:

[0679] Users submit feedback after a date

[0680] Subject: User

[0681] Specific operation: The user opens the LINE app and sends their impressions of the date to the love story AI.

[0682] Input: User's feedback message (e.g., "The date was great. I hope to see you again.")

[0683] Output: A feedback message is sent to the terminal

[0684] Data processing: Obtaining user feedback as text

[0685] Step 8:

[0686] The device sends feedback to the server

[0687] Subject: Terminal

[0688] Specific behavior: Uses the LINE API to extract user feedback messages and send them to the server as HTTP requests.

[0689] Input: Feedback message (e.g., "The date was great. I hope to see you again.")

[0690] Output: Feedback is sent to the server

[0691] Data processing: Convert the feedback message into JSON format and send it to the server

[0692] Step 9:

[0693] The server analyzes the feedback and updates the database

[0694] Subject: Server

[0695] Specific operation: The server inputs the feedback into the generative AI model, extracts a rating such as "high satisfaction," and adds that rating to the profile database.

[0696] Input: Feedback data in JSON format

[0697] Output: Evaluation result updated in the database (e.g., "Highly satisfied")

[0698] Data processing: Analyze using a generative AI model and add the evaluation results to the database as tags

[0699] (Application example 1)

[0700] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0701] In modern society, demand for online dating services is increasing. However, traditional systems struggle to accurately grasp users' detailed hobbies and interests, limiting the accuracy of matching. Furthermore, they often fail to provide a smooth process leading to an actual date, resulting in an unsatisfactory user experience. Furthermore, there was a lack of a mechanism for collecting user feedback and incorporating it into future matches.

[0702] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0703] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing and analyzing the collected information in a database, means for extracting potential matches with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for simulating a virtual date using virtual reality, means for presenting potential matches to the user and arranging the date, and means for collecting user feedback after the date to improve the accuracy of the next match. This makes it possible to accurately grasp the user's detailed hobbies and interests and provide highly accurate matches. Furthermore, the virtual date simulation can provide users with an experience similar to a real date, improving the accuracy of the next match.

[0704] The "means of interacting with the user and collecting information" refers to an interface that analyzes the text and voice data entered by the user and extracts their romantic interests and preferences.

[0705] "Means for storing and analyzing in a database" refers to a system for storing collected user information in a digital database and analyzing that data using an algorithm.

[0706] "Means for extracting matching candidates" is a function that identifies people who share common interests and preferences among multiple users based on analyzed data.

[0707] "Means for a dialogue system to dialogue and improve matching accuracy" refers to a process in which automated dialogue systems associated with multiple users communicate and exchange information with each other to improve matching accuracy.

[0708] "Means for simulating a virtual date using virtual reality" is a system that uses virtual reality (VR) technology to allow users to experience a date in a digital space.

[0709] "Means for arranging date dates" is a function that allows users to propose a date and time for a date and reflect it in the schedule after obtaining mutual consent.

[0710] "Means for collecting user feedback and improving the accuracy of the next match" refers to a system that collects and analyzes feedback provided by users after a date and reflects the results in the next match.

[0711] "Means for updating the profile database" refers to the ability to keep the existing database up to date with collected feedback and new user information.

[0712] An "algorithm to improve matching accuracy" is a calculation method or procedure for improving matching accuracy based on user information and feedback.

[0713] "Means of improving the accuracy of analysis by inputting prompt sentences into a generative AI model" refers to the process in which a dialogue system inputs prompt sentences containing user information and intentions into a generative AI, thereby obtaining more accurate analysis results.

[0714] This invention relates to a system that collects information related to love from users and realizes highly accurate matching based on that information. The system mainly consists of a terminal that interacts with users, a server that manages and analyzes the collected information, a virtual dating simulation using virtual reality (VR) technology, and a means of collecting feedback.

[0715] First, a user uses a communication app to converse with a dialogue system on their device. This dialogue system collects answers from the user to questions about love. For example, if a user is asked, "Where is your ideal date spot?", the system will respond, "A movie theater." This answer is sent to the server in real time.

[0716] The server then receives the collected information and stores it in a database. The stored information is then analyzed to extract the user's preferences and interests. This analysis is performed using a generative AI model. For example, there is a process for adding "users who like cinemas" to a user's profile.

[0717] The server then finds commonalities with other users and extracts potential matches. A dialogue system linked to multiple users exchanges information to improve the accuracy of the match. For example, the server can extract potential matches between users who share the same favorite movie genres.

[0718] Once this match candidate is confirmed, the server will propose a virtual date to the user. This proposal will utilize virtual reality (VR) technology. For example, a proposal may be sent to the user saying, "Would you like to simulate a virtual movie date next Saturday at 3 p.m.?" If the user agrees, the virtual date simulation will be carried out.

[0719] Once the date is over, the user provides feedback again through the dialogue system. This feedback is sent to the server again and stored in the database. For example, it may include feedback such as, "The date was really fun. I'd like to meet you again." This feedback information is reflected in the next match.

[0720] The present invention also includes a process using a generative AI model. Specifically, a means is provided for the AI ​​model to improve the accuracy of analysis using prompt sentences. For example, there is a prompt sentence that reads, "Please identify the user's hobby from the following text: movie theaters."

[0721] As a result, this system realizes a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, making it possible to provide highly accurate love matching.

[0722] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0723] Step 1: Collect user information

[0724] The user opens a communication app and starts a conversation with the dialogue system. The device collects the text data entered by the user and sends the answer to the server in real time. For example, if the user answers, "My favorite movie genre is science fiction," that information is sent. (Input) User's text data (Output) Text data received by the server

[0725] Step 2: Store and analyze data

[0726] The server stores the received text data in a database. After storage, the data is analyzed using a generative AI model to extract the user's preferences and interests. At this time, a profile of "users who like science fiction movies" is generated from the information that "favorite movie genre is science fiction." (Input) Text data stored on the server (Output) Analyzed user profile data

[0727] Step 3: Extracting match candidates

[0728] Based on the analyzed profile data, the server finds commonalities with other users and extracts matching candidates. At this time, a dialogue system linked to multiple users engages in dialogue, and by exchanging common interests and preferences, the accuracy of the match is improved. For example, a commonality such as "User A and User B both like science fiction movies" can be found. (Input) Analyzed user profile data (Output) List of matching candidates

[0729] Step 4: Propose a virtual date

[0730] The server proposes a virtual date to the user based on the list of match candidates. Specifically, it proposes a simulated date using virtual reality (VR) technology. The proposal includes a message such as "Would you like to simulate a virtual movie date next Saturday at 3pm?" (Input) Match candidate list (Output) Date proposal message to the user

[0731] Step 5: Conduct a virtual date

[0732] If the user agrees to the virtual date, a dating simulation using virtual reality (VR) technology will be executed. The user can experience the virtual date through their device, experiencing a sensation similar to a real date. (Input) User's consent to the date (Output) Execution of the virtual date simulation

[0733] Step 6: Gather feedback

[0734] When the date is over, the user again provides feedback through the dialogue system. The terminal collects the user's feedback and sends the information back to the server. For example, the collected feedback is "The date was very fun. I'd like to see you again." (Input) User's feedback text (Output) Feedback data received by the server

[0735] Step 7: Analyze feedback and update the database

[0736] The server analyzes the received feedback data and updates the profile database. The analyzed feedback information is used to improve the accuracy of the next match. For example, information such as "high dating satisfaction" is added to the profile. (Input) Feedback data stored on the server (Output) Updated user profile data

[0737] Through these steps, the system achieves a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, enabling it to provide highly accurate love matching.

[0738] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0739] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and uses an emotion engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion engine, an algorithm that arranges date dates, and a means of collecting feedback.

[0740] Program processing overview

[0741] A conversation between the user and the love-talk AI

[0742] Users and devices

[0743] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[0744] From the device to the server

[0745] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server then uses an emotion engine to analyze the user's emotional state and adjust the content of the next conversation.

[0746] Use of emotion engine

[0747] Server and Emotion Engine

[0748] The server sends the user's text data collected during the conversation to the emotion engine. The emotion engine analyzes the text data and recognizes the user's emotions (happiness, sadness, anger, etc.). For example, if a user makes a negative statement such as "My love life hasn't been going well lately...", the emotion engine will recognize the user's emotion as "sadness."

[0749] Love talk AI conversation and matching

[0750] server

[0751] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user has been having trouble with love recently" and "My user is also having trouble with love."

[0752] Matching candidates and date scheduling

[0753] From the server to the user

[0754] The server presents the matching results to the user and makes a suggestion to arrange the date. For example, the server might say, "We suggest scheduling a date for next Saturday at 3:00 PM. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[0755] Post-date feedback and rematching

[0756] Users and devices

[0757] After the date, the user communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[0758] From the device to the server

[0759] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[0760] Specific examples of processing

[0761] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[0762] User: "Hello, nice to meet you."

[0763] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[0764] User: "I like sci-fi movies."

[0765] 2. The AI ​​stores the user's answers in a database and sends them to the emotion engine.

[0766] Server: Add "SF movie lover" to the user's profile and analyze emotions using the emotion engine.

[0767] 3. The emotion engine recognizes the user's emotions and adjusts the dialogue accordingly.

[0768] Emotion Engine: "The user's emotion is 'joy'."

[0769] 4. The server finds commonalities with other users and suggests potential matches.

[0770] Server: "User A and User B both love movies, especially science fiction movies."

[0771] 5. Arrange a date

[0772] Server: "I suggest we schedule a date for next Saturday at 3pm. Would you accept?"

[0773] User: "Yes, please."

[0774] 6. Collect post-date feedback and update your profile

[0775] User: "The date was so much fun! I hope to see you again."

[0776] Server: "'High dating satisfaction' has been added to User A's profile."

[0777] This system recognizes users' emotions, allowing them to effectively engage in conversations and experience highly accurate matching with the perfect partner. By utilizing feedback, it is possible to build long-term relationships.

[0778] The processing flow will be explained below.

[0779] Program processing steps

[0780] Step 1:

[0781] The user opens the LINE app and starts a conversation with the love-talk AI.

[0782] Users launch the LINE app and talk to the love-talk AI.

[0783] The Love Talk AI asks users questions about love.

[0784] Specific behavior:

[0785] User: "Hi, how are you doing?"

[0786] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[0787] Step 2:

[0788] The love story AI sends the user's answers to a database

[0789] The user's answers are sent to the server in real time.

[0790] The server receives the user's answers and stores them in a profile database.

[0791] Specific behavior:

[0792] User: "I'd like someone who is kind and likes movies."

[0793] Server: "I've added the 'kind and movie-loving' information to the profile database."

[0794] Step 3:

[0795] The server analyzes the user's emotions using an emotion engine.

[0796] The server sends the text data collected during the conversation to the emotion engine.

[0797] The emotion engine analyzes text data and recognizes the user's emotions (joy, sadness, anger, etc.).

[0798] Specific behavior:

[0799] User: "I've had some bad luck with love lately..."

[0800] Emotion Engine: "The user's emotion was identified as 'sadness'."

[0801] Step 4:

[0802] AI adjusts the dialogue content based on the results of the emotion engine

[0803] The love talk AI adjusts the next question and response based on the analysis results of the emotion engine.

[0804] Specific behavior:

[0805] Love Talk AI: "You're having trouble with love, so why don't you talk more about it?"

[0806] Step 5:

[0807] The server analyzes the database and finds commonalities with other users.

[0808] The server analyzes the information and emotional data in the database to find other users who share common interests and values.

[0809] Specific behavior:

[0810] Server: "User A and User B both love movies, especially science fiction movies."

[0811] Step 6:

[0812] Love talk AIs talk to each other to improve matching accuracy

[0813] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[0814] Specific behavior:

[0815] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[0816] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[0817] Step 7:

[0818] The server presents potential matches to the user

[0819] The server notifies the user of highly accurate matching candidates.

[0820] Specific behavior:

[0821] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[0822] Step 8:

[0823] Arrange a date

[0824] The server coordinates with potential matches and suggests dates.

[0825] Specific behavior:

[0826] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[0827] User: "Yes, please."

[0828] Step 9:

[0829] Gather post-date feedback

[0830] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[0831] The terminal sends the feedback to the server.

[0832] Specific behavior:

[0833] Love Talk AI: "How was your date? Do you want to see me again?"

[0834] User: "It was so much fun! I hope to see you again."

[0835] Step 10:

[0836] The server analyzes your feedback and updates your profile

[0837] The server analyzes the collected feedback and updates the user profile database.

[0838] Specific behavior:

[0839] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[0840] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Feedback can also be used to improve the accuracy of future matches and build long-term relationships.

[0841] Example 2

[0842] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0843] Conventional dating systems have difficulty achieving more personalized matching accuracy because they do not take into account the user's emotional state. Furthermore, they lack a mechanism for effectively utilizing user feedback, making it difficult to increase long-term satisfaction. The present invention aims to solve these problems by effectively utilizing the user's emotional state and feedback to achieve highly accurate matching and reflecting post-date feedback in the next match.

[0844] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for interacting with the user and collecting information about the user's love life, a means for storing and analyzing the collected information in a database, and a means for transmitting the collected information to an emotion analysis engine and recognizing the user's emotional state. This enables the user's emotional state to be analyzed in real time and personalized responses to be provided. In addition, the server includes a means for extracting match candidates with other users using the analysis results, a means for a dialogue system linked to multiple users to interact and improve matching accuracy, a means for presenting match candidates to the user and arranging a date date, and a means for collecting user feedback after the date and improving the accuracy of the next match. This allows the user to experience matching with the most suitable partner after having their emotional state understood, and by incorporating the feedback, it is possible to continuously achieve high-satisfaction matching.

[0845] A "user" is someone who uses the system to provide information about love and romance and receives services such as dialogue and matching.

[0846] A "dialogue system" is a software mechanism that communicates with users and collects information through questions and answers.

[0847] A "database" is an information system that stores collected information in an organized manner and allows it to be searched and analyzed as needed.

[0848] An "emotion analysis engine" is a technology that analyzes text data obtained from users and recognizes their emotional state (joy, sadness, anger, etc.) from its content.

[0849] "Matching candidates" are other users who are presumed to be compatible with the user based on collected and analyzed information.

[0850] "Feedback" refers to the impressions and opinions provided by users after a date, etc., and is information that the system uses to improve the accuracy of matching next time.

[0851] A "profile database" is an information system for storing data such as a user's basic information, hobbies and preferences, and past feedback.

[0852] "Algorithm" refers to the calculation procedures and methods used to achieve optimal matching based on collected and analyzed user information.

[0853] "Matching accuracy" is an indicator of how suitable and satisfying the partner suggested by the system is for the user.

[0854] This invention relates to a system that uses a communication app to collect information about users' romantic relationships and uses an emotion analysis engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion analysis engine, a matching algorithm, a means of arranging date dates, and a means of collecting feedback.

[0855] Program processing overview

[0856] User initiated interaction

[0857] The user opens a communication app (for example, a messaging app) and starts a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, when the user is asked, "What kind of person is your ideal partner?", they answer, "Someone who loves movies and is kind."

[0858] Sending information from the device to the server

[0859] The device sends the user's answers in real time to the server, which converts the data into an appropriate format and forwards it to the server.

[0860] Server-based information analysis and emotion recognition

[0861] The server receives the transmitted data and stores it in the user's profile database. The server also sends the collected information to an emotion analysis engine, which recognizes the user's emotional state (happiness, sadness, anger, etc.) from the text data. For example, if a user makes a negative statement such as "I haven't been doing well in love lately...", the emotion analysis engine will recognize that emotion as "sadness."

[0862] Selection of match candidates and information exchange

[0863] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, two love-talking AIs might share information such as "This user has been having trouble with love recently," and match users who share common problems.

[0864] Presenting matching results and arranging dates

[0865] Based on the analysis results, the server presents the user with the best possible match candidates. For example, it might say, "We suggest scheduling a date for next Saturday at 3 p.m. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[0866] Post-date feedback and profile updates

[0867] After the date, the user communicates their thoughts to the love-talk AI through the LINE app. An example of feedback is, "I had a great time. I'd like to see you again." The device sends this feedback to the server, which adds it to the profile database. The analyzed feedback information is used for the next match.

[0868] Examples of prompt statements

[0869] 1. "Hello, what love story would you like to talk about today?"

[0870] 2. "What movies have you seen recently? Do you have any recommendations?"

[0871] 3. "What are your ideal partner's criteria?"

[0872] Hardware and software used

[0873] This system uses smartphones and tablets as user devices and a high-performance cloud server as the server. The software used includes a communication app, a database management system (e.g., MySQL, PostgreSQL), a sentiment analysis engine (e.g., Google Cloud Natural Language API), and a program for implementing the matching algorithm.

[0874] This system allows users to effectively engage in conversations while being aware of their own emotions, and also allows users to experience highly accurate matching with their ideal partner, and by utilizing feedback after the date, it is possible to build long-term relationships.

[0875] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0876] Step 1:

[0877] The user opens the LINE app and starts a conversation with the love talk AI. The prompt "Hello, it's time to talk about love. Right away, what's your favorite movie genre?" is displayed. The user types "I like science fiction movies." This input triggers the next process.

[0878] Step 2:

[0879] The terminal sends input data from the user to the server in real time. The sent data is text data such as "I like science fiction movies." The server receives the input data, encodes it in UTF-8 format, and prepares it for analysis.

[0880] Step 3:

[0881] The server stores the received data in a profile database. Specifically, the attributes "user ID" and "fan of science fiction movies" are added to the database. At the same time, the server sends the text data to an emotion analysis engine. The emotion analysis engine uses natural language processing technology to analyze the data as "joy" and returns the result to the server.

[0882] Step 4:

[0883] The server analyzes the profile database based on the "joy" result obtained from the emotion analysis engine to find commonalities with other users. Specifically, it searches for users who also "like science fiction movies" and whose emotional state is "joy." When commonalities are found, the love-talk AIs exchange user information.

[0884] Step 5:

[0885] Based on the analysis results, the server selects the best match candidate for each user. For example, since user A and user B both like science fiction movies, it is assumed that they are compatible. The server presents this information to user A as a prompt: "I suggest scheduling a date for next Saturday at 3 p.m. Would you agree?"

[0886] Step 6:

[0887] If User A responds with "Yes, please," the input is again sent by the device to the server. The server confirms the date and notifies both User A and User B of the date details, including the date, time, and location.

[0888] Step 7:

[0889] After the date, the user sends feedback to the love story AI through the LINE app. For example, the user might say, "The date was so much fun! I'd like to see you again." This input data is sent from the device to the server.

[0890] Step 8:

[0891] The server receives the feedback, adds it to the profile database as "high dating satisfaction," and analyzes the feedback information to use it to improve the accuracy of the next match.

[0892] This process allows the system to analyze users' emotions in real time, providing personalized conversations and matching. It also uses post-date feedback to improve future matches, increasing long-term satisfaction.

[0893] (Application example 2)

[0894] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0895] Existing communication apps have difficulty efficiently collecting and accurately analyzing users' romantic information for matching. Furthermore, they lack mechanisms for adjusting advertising content in real time based on the user's emotional state. Therefore, improving the accuracy of romantic information collection and analysis, as well as the user experience, remains a challenge.

[0896] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0897] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing the collected information in a database and analyzing it, means for extracting match candidates with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for displaying advertisements in real time based on the user's emotional state, means for presenting match candidates to the user and arranging date dates, and means for collecting user feedback after the date and improving the accuracy of the next match, thereby enabling highly accurate matching and advertisement display that takes the user's emotional state into consideration.

[0898] "User" refers to an individual who uses the system to provide information about love.

[0899] An "interactive system" refers to a program or device that communicates with users and collects romantic information.

[0900] A "database" is a collection of structured data used to organize and store collected information and perform necessary analysis.

[0901] "Matching candidates" are other users who are considered to be compatible and are suggested to the user as a result of the system's analysis.

[0902] "Emotional state" refers to the psychological state or mood that can be inferred from a user's facial expressions and comments.

[0903] "Advertisement" means information displayed to attract a user's attention and promote a particular product or service.

[0904] "Scheduling" is the process of determining a suitable date and time for matched users to meet in person.

[0905] "Feedback" refers to the impressions and evaluations provided by users after using the service.

[0906] This invention relates to a system that uses a communication app to collect information about a user's romantic relationship and utilizes an emotion engine to perform highly accurate matching. It also provides a mechanism for adjusting advertising content in real time based on the user's emotional state.

[0907] Program Generation and Implementation

[0908] The system consists of the following elements:

[0909] 1. Devices that interact with the user:

[0910] Users interact with the system using LINE or a similar communication app.

[0911] The user's responses and emotional state are analyzed in real time.

[0912] 2. Server that manages and analyzes information:

[0913] The server stores the information about the user's love life sent from the terminal in a database.

[0914] The information is analyzed using an emotion engine to recognize the user's emotional state.

[0915] 3. Emotion Engine:

[0916] The emotion engine analyzes the collected text data and identifies the user's emotions.

[0917] The resulting emotional data is used to tailor the content of the dialogue and to determine the display of advertisements.

[0918] 4. Matching Algorithm:

[0919] Based on profile data and emotional data, the server identifies commonalities and compatibility with other users and extracts potential matches.

[0920] A dialogue system linked to multiple users exchanges information, improving the accuracy of matching.

[0921] 5. Advertising display module:

[0922] Ad content is adjusted and displayed in real time based on the user's emotional state.

[0923] For example, if a user is feeling "happy," entertainment-related ads will be displayed, and if they are feeling "sad," ads for relaxation services will be displayed.

[0924] Specific examples of processing

[0925] 1. Start a dialogue with the user:

[0926] Users open the LINE app and begin a conversation with the love-talk AI.

[0927] For example: "Hi, what movie do you feel like watching today?"

[0928] The user answers, "Science fiction movies."

[0929] 2. Sentiment Analysis and Data Storage:

[0930] The user's answers are sent to the server and stored in a database.

[0931] The emotion engine recognizes the user's emotional state as "joy."

[0932] 3. Matching Process:

[0933] The server uses the collected data to find commonalities with other users.

[0934] Example: Extract matching candidates based on "This user likes movies" and "This user also likes movies."

[0935] 4. Advertising:

[0936] Select appropriate ads based on the user's emotional state and display them in real time.

[0937] Examples: "New sci-fi movie screening information" or "Relaxation products"

[0938] Prompt Sentence Examples

[0939] "The user's current emotional state has been identified as 'fun'. Suggest ads related to cinemas and leisure activities."

[0940] "The user's current emotional state has been identified as 'sad.' Suggest ads for products and services that will help them relax."

[0941] This invention allows users to experience highly accurate love matching and advertisements that adapt to their emotional state, which increases user satisfaction and leads to the development of long-term relationships.

[0942] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0943] Step 1:

[0944] Initiate a conversation with the user

[0945] The user opens the LINE app and starts a conversation with the love-talk AI. As the user answers questions, the answers are sent from the device to the server in real time. The input is the user's text response (e.g., "I like science fiction movies"), and the output is sending this data to the server.

[0946] Step 2:

[0947] Collecting information and storing it in a database

[0948] The server receives the user's answers sent from the device and stores them in a database. The information is stored in a structured format for later analysis. The input is the user's answers and the output is the data stored in the database.

[0949] Step 3:

[0950] Analyzing emotional states

[0951] The server sends the collected text data to the emotion engine and analyzes the user's emotional state. For example, from the answer "I like science fiction movies," it recognizes "joy." The input is text data, and the output is the emotional state (e.g., "joy"). Here, natural language processing technology is used to analyze the text data.

[0952] Step 4:

[0953] Extracting match candidates

[0954] The server finds commonalities and compatibility with other users based on the information stored in the database and the results of emotional analysis. Match candidates are selected by an algorithm. The input is the user's profile data and emotional data, and the output is a list of match candidates. Specifically, commonalities are found based on hobbies and emotional states.

[0955] Step 5:

[0956] Advertisement content can be adjusted in real time

[0957] The server selects appropriate advertisements based on the user's emotional state and displays them through the terminal. For example, when the user is feeling "fun," entertainment-related advertisements are displayed. The input is emotional state data, and the output is the advertisement to be displayed. Here, the process of selecting appropriate advertisements from an advertisement database is carried out.

[0958] Step 6:

[0959] Present potential matches to the user

[0960] The server presents the selected matches to the user and proposes a date. If the user accepts the proposal, the date details are sent to both parties. The input is a list of matches, and the output is the user's acceptance and the date information.

[0961] Step 7:

[0962] Collect feedback to improve the accuracy of your next match

[0963] After the date, the user shares their thoughts through the LINE app, and the feedback is sent to the server. The collected feedback is added to a database and used for the next match. The input is the feedback data, and the output is updated profile data. Text analysis technology is used for feedback analysis.

[0964] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0965] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0966] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0967] [Third embodiment]

[0968] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0969] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0970] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0971] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0972] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0973] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0974] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0975] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0976] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0977] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0978] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0979] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0980] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an algorithm that arranges date dates, and a means of collecting feedback.

[0981] Program processing overview

[0982] A conversation between the user and the love-talk AI

[0983] Users and devices

[0984] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[0985] From the device to the server

[0986] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server analyzes the user's answers and adjusts the content of the next conversation.

[0987] Love talk AI conversation and matching

[0988] server

[0989] The server analyzes the profile database to find commonalities and compatibility with other users. The love-talking AIs associated with multiple users converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user likes science fiction movies" and "My user also likes science fiction movies."

[0990] Matching candidates and date scheduling

[0991] From the server to the user

[0992] The server presents the matched users with a suggestion to arrange a date. For example, the server might suggest, "Would you like to schedule a date for next Saturday at 3 p.m.?" If the user agrees, the server notifies both parties of the date details.

[0993] Post-date feedback and rematching

[0994] Users and devices

[0995] After the date, the user again communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[0996] From the device to the server

[0997] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[0998] Specific examples of processing

[0999] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[1000] User: "Hello, nice to meet you."

[1001] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[1002] User: "I like sci-fi movies."

[1003] 2. The AI ​​stores the user's answers in a database

[1004] Server: Add "SF movie lover" to the user's profile.

[1005] 3. The server finds common ground with other users

[1006] Server: "User A and User B both like science fiction movies."

[1007] 4. Propose potential matches and arrange dates

[1008] Server: "Would you like to schedule a date for next Saturday at 3pm?"

[1009] User: "Yes, please."

[1010] 5. Collect post-date feedback and update your profile

[1011] User: "The date was so much fun. I hope to see you again."

[1012] Server: "'High dating satisfaction' has been added to User A's profile."

[1013] This system allows users to experience high-precision matching while minimizing tedious messaging, and utilizes feedback to help build long-term relationships.

[1014] The processing flow will be explained below.

[1015] Program processing steps

[1016] Step 1:

[1017] The user opens the LINE app and starts a conversation with the love-talk AI.

[1018] Users launch the LINE app and talk to the love-talk AI.

[1019] The Love Talk AI asks users questions about love.

[1020] Specific behavior:

[1021] User: "Hi, how are you doing?"

[1022] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[1023] Step 2:

[1024] The love story AI sends the user's answers to a database

[1025] The user's answers are sent to the server in real time.

[1026] The server receives the user's answers and stores them in a profile database.

[1027] Specific behavior:

[1028] User: "I'd like someone who is kind and likes movies."

[1029] Server: "I've added the 'kind and movie-loving' information to the profile database."

[1030] Step 3:

[1031] The server analyzes the database and finds commonalities with other users.

[1032] The server analyzes the information in the database and searches for other users who share common interests and values.

[1033] Specific behavior:

[1034] Server: "User A and User B both love movies, especially science fiction movies."

[1035] Step 4:

[1036] Love talk AIs talk to each other to improve matching accuracy

[1037] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[1038] Specific behavior:

[1039] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[1040] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[1041] Step 5:

[1042] The server presents potential matches to the user

[1043] The server notifies the user of highly accurate matching candidates.

[1044] Specific behavior:

[1045] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[1046] Step 6:

[1047] Arrange a date

[1048] The server coordinates with potential matches and suggests dates.

[1049] Specific behavior:

[1050] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[1051] User: "Yes, please."

[1052] Step 7:

[1053] Gather post-date feedback

[1054] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[1055] The terminal sends the feedback to the server.

[1056] Specific behavior:

[1057] Love Talk AI: "How was your date? Do you want to see me again?"

[1058] User: "It was so much fun! I hope to see you again."

[1059] Step 8:

[1060] The server analyzes your feedback and updates your profile

[1061] The server analyzes the collected feedback and updates the user profile database.

[1062] Specific behavior:

[1063] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[1064] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Furthermore, by improving the accuracy of the next match based on feedback, it is possible to build a long-term relationship.

[1065] Example 1

[1066] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1067] Conventional matching systems have difficulty effectively collecting and analyzing information about users' romantic relationships and performing highly accurate matching. Furthermore, they lack a method for appropriately utilizing user feedback to improve the accuracy of the next match. This has led to issues such as a decrease in user satisfaction and difficulty in building long-term relationships.

[1068] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1069] In this invention, the server includes: means for interacting with users and collecting information about their romantic relationships; means for storing the collected information in a database and analyzing it using a generative AI model; means for generating prompts based on the analysis results and extracting potential matches with other users; means for a dialogue system associated with multiple users to interact with the users and use the generative AI model to improve the accuracy of matching; means for presenting potential matches to the users and arranging date dates; and means for collecting user feedback after the date and improving the accuracy of the next match. This makes it possible to efficiently collect and analyze information about users' romantic relationships and achieve high-precision matching. Furthermore, by utilizing the feedback, the accuracy of the next match can be improved, increasing user satisfaction and supporting the building of long-term relationships.

[1070] "User" means any individual or entity that uses the System.

[1071] A "dialogue system" is a system that communicates with users in natural language.

[1072] "Information about love" refers to information about a user's interests, preferences, opinions, experiences, etc. regarding love.

[1073] A "database" is a system for organizing and storing information, making it easy to retrieve when needed.

[1074] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze input information and generate new content or answers. Specifically, it refers to models that perform natural language processing and text generation.

[1075] A "prompt" is text or instructions that are input into a generative AI model, allowing the AI ​​to generate an appropriate response or analysis result.

[1076] "Matching candidates" are other users who are suggested to a user and who are likely to have commonalities or compatibility with the user.

[1077] "Feedback" refers to the impressions and evaluations that users provide to the system after use.

[1078] A "profile database" is a database that stores information about user characteristics and interests.

[1079] An "algorithm" is a set of steps or a computational method for solving a particular problem.

[1080] The present invention relates to a system that uses a communication app to collect information about a user's romantic interests and perform highly accurate matching. The system allows users to interactively provide their romantic preferences and wishes, and based on that, the system proposes optimal matches.

[1081] System configuration

[1082] The system consists of the following elements:

[1083] 1. User device: smartphone or tablet (iOS, Android).

[1084] 2. Communication app: LINE.

[1085] 3. Server: High-performance cloud server (AWS, Google Cloud).

[1086] 4. Love Talk AI: Generative AI models (such as GPT-3).

[1087] 5. Profile database: NoSQL database (MongoDB, Firebase).

[1088] Program processing overview

[1089] First, the user opens a communication app and starts a conversation with the love-talk AI. Through this conversation, information about the user's love life is collected. For example, the user might respond as follows:

[1090] User: Hello, nice to meet you.

[1091] AI: Hello! Let's talk about love today. What is your favorite movie genre?

[1092] User: I like sci-fi movies.

[1093] The device sends this information to a server in real time. The server analyzes the received information using a generative AI model (such as GPT-3) and stores the results in a database. Specifically, the tag "SF movie lover" is added to the user's profile as analyzed information.

[1094] The matching process

[1095] The server analyzes the information in the profile database to find other users with whom the user has common interests and good chemistry. It uses a generative AI model to generate prompts and appropriately analyzes various user information. Specific examples of prompts include:

[1096] Example prompt 1: The user has initiated a new interaction. Please ask a question.

[1097] Example prompt 2: The user likes science fiction movies. Create the following question:

[1098] Example prompt 3: I received some post-date feedback. Please add this information to your profile.

[1099] Date scheduling and feedback

[1100] Based on the analysis results, the server will suggest the best match candidates to the user. For example, it might suggest to the user, "Would you like to schedule a date for next Saturday at 3 PM?" If the user agrees, the date is confirmed. After the date, the user provides feedback through the LINE app:

[1101] User: The date was so much fun. I hope to see you again.

[1102] This feedback is sent from the device to the server, where it is analyzed again using the generative AI model and the results are added to the profile database. This feedback information is used to improve the accuracy of the next match.

[1103] System Benefits

[1104] The system allows users to easily provide information about their romantic interests through an interactive format, and uses a generative AI model to achieve highly accurate matches. Furthermore, by utilizing user feedback, the system can improve the accuracy of the next match and help build long-term relationships.

[1105] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1106] Step 1:

[1107] A user starts a conversation with a love story AI for the first time on the LINE app.

[1108] Subject: User

[1109] Specific operation: The user opens the communication app (LINE), adds the love talk AI as a friend, and begins a conversation.

[1110] Input: User's initial message (e.g. "Hello, nice to meet you.")

[1111] Output: Response from the love talk AI (e.g., "Hello! Let's talk about love today. What's your favorite movie genre?")

[1112] Data processing: Obtain user messages and provide them as prompts to the AI

[1113] Step 2:

[1114] User responses are sent to the server in real time

[1115] Subject: Terminal

[1116] Specific operation: Using LINE's API, the user's response is extracted and sent to the server as an HTTP request.

[1117] Input: User's response message (e.g., "I like science fiction movies.")

[1118] Output: A reply message is sent to the server

[1119] Data processing: Convert the user's response into JSON format and send it to the server

[1120] Step 3:

[1121] The server analyzes the user's answers and stores them in a database

[1122] Subject: Server

[1123] Specific operation: The server analyzes the received user's answer using a generative AI model (such as GPT-3) to extract meaning. It generates tags such as "I like science fiction movies."

[1124] Input: Answer data in JSON format (e.g., "I like science fiction movies.")

[1125] Output: Analysis results stored in a database (e.g., a tag such as "SF movie lover")

[1126] Data processing: Input prompts into the generative AI model, extract the meaning of the answers, and add them as tags to the database

[1127] Step 4:

[1128] The server scans the database for commonalities

[1129] Subject: Server

[1130] What it does: Uses a database query to create a list of other users who share the same tag "I like science fiction movies."

[1131] Input: User tags (e.g. "I like sci-fi movies")

[1132] Output: A list of other users with common tags

[1133] Data manipulation: query the database to find users with common tags

[1134] Step 5:

[1135] The server selects the best match from a list of users with common interests.

[1136] Subject: Server

[1137] Specific operation: Using an AI algorithm, scores are assigned based on the number of commonalities and the content of the feedback, and the user with the highest score is selected.

[1138] Input: List of users with common tags, feedback data

[1139] Output: Best matching candidates

[1140] Data processing: Run a scoring algorithm to select the best candidates

[1141] Step 6:

[1142] The server will suggest dates to the user.

[1143] Subject: Server

[1144] Specific operation: The server uses LINE's message sending API to send a date suggestion message to the user.

[1145] Input: Match candidate data, proposal message template

[1146] Output: Suggestion message sent to the user's LINE app

[1147] Data processing: Generate a suggested message and send it via the LINE API

[1148] Step 7:

[1149] Users submit feedback after a date

[1150] Subject: User

[1151] Specific operation: The user opens the LINE app and sends their impressions of the date to the love story AI.

[1152] Input: User's feedback message (e.g., "The date was great. I hope to see you again.")

[1153] Output: A feedback message is sent to the terminal

[1154] Data processing: Obtaining user feedback as text

[1155] Step 8:

[1156] The device sends feedback to the server

[1157] Subject: Terminal

[1158] Specific behavior: Uses the LINE API to extract user feedback messages and send them to the server as HTTP requests.

[1159] Input: Feedback message (e.g., "The date was great. I hope to see you again.")

[1160] Output: Feedback is sent to the server

[1161] Data processing: Convert the feedback message into JSON format and send it to the server

[1162] Step 9:

[1163] The server analyzes the feedback and updates the database

[1164] Subject: Server

[1165] Specific operation: The server inputs the feedback into the generative AI model, extracts a rating such as "high satisfaction," and adds that rating to the profile database.

[1166] Input: Feedback data in JSON format

[1167] Output: Evaluation result updated in the database (e.g., "Highly satisfied")

[1168] Data processing: Analyze using a generative AI model and add the evaluation results to the database as tags

[1169] (Application example 1)

[1170] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1171] In modern society, demand for online dating services is increasing. However, traditional systems struggle to accurately grasp users' detailed hobbies and interests, limiting the accuracy of matching. Furthermore, they often fail to provide a smooth process leading to an actual date, resulting in an unsatisfactory user experience. Furthermore, there was a lack of a mechanism for collecting user feedback and incorporating it into future matches.

[1172] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1173] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing and analyzing the collected information in a database, means for extracting potential matches with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for simulating a virtual date using virtual reality, means for presenting potential matches to the user and arranging the date, and means for collecting user feedback after the date to improve the accuracy of the next match. This makes it possible to accurately grasp the user's detailed hobbies and interests and provide highly accurate matches. Furthermore, the virtual date simulation can provide users with an experience similar to a real date, improving the accuracy of the next match.

[1174] The "means of interacting with the user and collecting information" refers to an interface that analyzes the text and voice data entered by the user and extracts their romantic interests and preferences.

[1175] "Means for storing and analyzing data in a database" refers to a system for storing collected user information in a digital database and analyzing that data using an algorithm.

[1176] "Means for extracting matching candidates" is a function that identifies people who share common interests and preferences among multiple users based on analyzed data.

[1177] "Means for dialogue systems to improve matching accuracy" refers to a process in which automated dialogue systems associated with multiple users communicate and exchange information with each other to improve matching accuracy.

[1178] "Means for simulating a virtual date using virtual reality" is a system that uses virtual reality (VR) technology to allow users to experience a date in a digital space.

[1179] "Means for arranging date dates" is a function that allows users to propose a date and time for a date and reflect it in the schedule after obtaining mutual consent.

[1180] "Means for collecting user feedback and improving the accuracy of the next match" refers to a system that collects and analyzes feedback provided by users after a date and reflects the results in the next match.

[1181] "Means for updating the profile database" refers to the ability to keep the existing database up to date with collected feedback and new user information.

[1182] An "algorithm to improve matching accuracy" is a calculation method or procedure for improving matching accuracy based on user information and feedback.

[1183] "Means of improving the accuracy of analysis by inputting prompt sentences into a generative AI model" refers to the process in which a dialogue system inputs prompt sentences containing user information and intentions into a generative AI, thereby obtaining more accurate analysis results.

[1184] This invention relates to a system that collects information related to love from users and realizes highly accurate matching based on that information. The system mainly consists of a terminal that interacts with users, a server that manages and analyzes the collected information, a virtual dating simulation using virtual reality (VR) technology, and a means of collecting feedback.

[1185] First, a user uses a communication app to converse with a dialogue system on their device. This dialogue system collects answers from the user to questions about love. For example, if a user is asked, "Where is your ideal date spot?", the system will respond, "A movie theater." This answer is sent to the server in real time.

[1186] The server then receives the collected information and stores it in a database. The stored information is then analyzed to extract the user's preferences and interests. This analysis is performed using a generative AI model. For example, there is a process for adding "users who like cinemas" to a user's profile.

[1187] The server then finds commonalities with other users and extracts potential matches. A dialogue system linked to multiple users exchanges information to improve the accuracy of the match. For example, the server can extract potential matches between users who share the same favorite movie genres.

[1188] Once this match candidate is confirmed, the server will propose a virtual date to the user. This proposal will utilize virtual reality (VR) technology. For example, a proposal may be sent to the user saying, "Would you like to simulate a virtual movie date next Saturday at 3 p.m.?" If the user agrees, the virtual date simulation will be carried out.

[1189] Once the date is over, the user provides feedback again through the dialogue system. This feedback is sent to the server again and stored in the database. For example, it may include feedback such as, "The date was really fun. I'd like to meet you again." This feedback information is reflected in the next match.

[1190] The present invention also includes a process using a generative AI model. Specifically, a means is provided for the AI ​​model to improve the accuracy of analysis using prompt sentences. For example, there is a prompt sentence that reads, "Please identify the user's hobby from the following text: movie theaters."

[1191] As a result, this system realizes a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, making it possible to provide highly accurate love matching.

[1192] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1193] Step 1: Collect user information

[1194] The user opens a communication app and starts a conversation with the dialogue system. The device collects the text data entered by the user and sends the answer to the server in real time. For example, if the user answers, "My favorite movie genre is science fiction," that information is sent. (Input) User's text data (Output) Text data received by the server

[1195] Step 2: Store and analyze data

[1196] The server stores the received text data in a database. After storage, the data is analyzed using a generative AI model to extract the user's preferences and interests. At this time, a profile of "users who like science fiction movies" is generated from the information that "favorite movie genre is science fiction." (Input) Text data stored on the server (Output) Analyzed user profile data

[1197] Step 3: Extracting match candidates

[1198] Based on the analyzed profile data, the server finds commonalities with other users and extracts matching candidates. At this time, a dialogue system linked to multiple users engages in dialogue, and by exchanging common interests and preferences, the accuracy of the match is improved. For example, a commonality such as "User A and User B both like science fiction movies" can be found. (Input) Analyzed user profile data (Output) List of matching candidates

[1199] Step 4: Propose a virtual date

[1200] The server proposes a virtual date to the user based on the list of match candidates. Specifically, it proposes a simulated date using virtual reality (VR) technology. The proposal includes a message such as "Would you like to simulate a virtual movie date next Saturday at 3pm?" (Input) Match candidate list (Output) Date proposal message to the user

[1201] Step 5: Conduct a virtual date

[1202] If the user agrees to the virtual date, a dating simulation using virtual reality (VR) technology will be executed. The user can experience the virtual date through their device, experiencing a sensation similar to a real date. (Input) User's consent to the date (Output) Execution of the virtual date simulation

[1203] Step 6: Gather feedback

[1204] When the date is over, the user again provides feedback through the dialogue system. The terminal collects the user's feedback and sends the information back to the server. For example, the collected feedback is "The date was very fun. I'd like to see you again." (Input) User's feedback text (Output) Feedback data received by the server

[1205] Step 7: Analyze feedback and update the database

[1206] The server analyzes the received feedback data and updates the profile database. The analyzed feedback information is used to improve the accuracy of the next match. For example, information such as "high dating satisfaction" is added to the profile. (Input) Feedback data stored on the server (Output) Updated user profile data

[1207] Through these steps, the system achieves a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, enabling it to provide highly accurate love matching.

[1208] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1209] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and uses an emotion engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion engine, an algorithm that arranges date dates, and a means of collecting feedback.

[1210] Program processing overview

[1211] A conversation between the user and the love-talk AI

[1212] Users and devices

[1213] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[1214] From the device to the server

[1215] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server then uses an emotion engine to analyze the user's emotional state and adjust the content of the next conversation.

[1216] Use of emotion engine

[1217] Server and Emotion Engine

[1218] The server sends the user's text data collected during the conversation to the emotion engine. The emotion engine analyzes the text data and recognizes the user's emotions (happiness, sadness, anger, etc.). For example, if a user makes a negative statement such as "My love life hasn't been going well lately...", the emotion engine will recognize the user's emotion as "sadness."

[1219] Love talk AI conversation and matching

[1220] server

[1221] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user has been having trouble with love recently" and "My user is also having trouble with love."

[1222] Matching candidates and date scheduling

[1223] From the server to the user

[1224] The server presents the matching results to the user and makes a suggestion to arrange the date. For example, the server might say, "We suggest scheduling a date for next Saturday at 3:00 PM. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[1225] Post-date feedback and rematching

[1226] Users and devices

[1227] After the date, the user communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[1228] From the device to the server

[1229] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[1230] Specific examples of processing

[1231] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[1232] User: "Hello, nice to meet you."

[1233] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[1234] User: "I like sci-fi movies."

[1235] 2. The AI ​​stores the user's answers in a database and sends them to the emotion engine.

[1236] Server: Add "SF movie lover" to the user's profile and analyze emotions using the emotion engine.

[1237] 3. The emotion engine recognizes the user's emotions and adjusts the dialogue accordingly.

[1238] Emotion Engine: "The user's emotion is 'joy'."

[1239] 4. The server finds commonalities with other users and suggests potential matches.

[1240] Server: "User A and User B both love movies, especially science fiction movies."

[1241] 5. Arrange a date

[1242] Server: "I suggest we schedule a date for next Saturday at 3pm. Would you accept?"

[1243] User: "Yes, please."

[1244] 6. Collect post-date feedback and update your profile

[1245] User: "The date was so much fun! I hope to see you again."

[1246] Server: "'High dating satisfaction' has been added to User A's profile."

[1247] This system recognizes users' emotions, allowing them to effectively engage in conversations and experience highly accurate matching with the perfect partner. By utilizing feedback, it is possible to build long-term relationships.

[1248] The processing flow will be explained below.

[1249] Program processing steps

[1250] Step 1:

[1251] The user opens the LINE app and starts a conversation with the love-talk AI.

[1252] Users launch the LINE app and talk to the love-talk AI.

[1253] The Love Talk AI asks users questions about love.

[1254] Specific behavior:

[1255] User: "Hi, how are you doing?"

[1256] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[1257] Step 2:

[1258] The love story AI sends the user's answers to a database

[1259] The user's answers are sent to the server in real time.

[1260] The server receives the user's answers and stores them in a profile database.

[1261] Specific behavior:

[1262] User: "I'd like someone who is kind and likes movies."

[1263] Server: "I've added the 'kind and movie-loving' information to the profile database."

[1264] Step 3:

[1265] The server analyzes the user's emotions using an emotion engine.

[1266] The server sends the text data collected during the conversation to the emotion engine.

[1267] The emotion engine analyzes text data and recognizes the user's emotions (joy, sadness, anger, etc.).

[1268] Specific behavior:

[1269] User: "I've had some bad luck with love lately..."

[1270] Emotion Engine: "The user's emotion was identified as 'sadness'."

[1271] Step 4:

[1272] AI adjusts the dialogue content based on the results of the emotion engine

[1273] The love talk AI adjusts the next question and response based on the analysis results of the emotion engine.

[1274] Specific behavior:

[1275] Love Talk AI: "You're having trouble with love, so why don't you talk more about it?"

[1276] Step 5:

[1277] The server analyzes the database and finds commonalities with other users.

[1278] The server analyzes the information and emotional data in the database to find other users who share common interests and values.

[1279] Specific behavior:

[1280] Server: "User A and User B both love movies, especially science fiction movies."

[1281] Step 6:

[1282] Love talk AIs talk to each other to improve matching accuracy

[1283] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[1284] Specific behavior:

[1285] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[1286] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[1287] Step 7:

[1288] The server presents potential matches to the user

[1289] The server notifies the user of highly accurate matching candidates.

[1290] Specific behavior:

[1291] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[1292] Step 8:

[1293] Arrange a date

[1294] The server coordinates with potential matches and suggests dates.

[1295] Specific behavior:

[1296] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[1297] User: "Yes, please."

[1298] Step 9:

[1299] Gather post-date feedback

[1300] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[1301] The terminal sends the feedback to the server.

[1302] Specific behavior:

[1303] Love Talk AI: "How was your date? Do you want to see me again?"

[1304] User: "It was so much fun! I hope to see you again."

[1305] Step 10:

[1306] The server analyzes your feedback and updates your profile

[1307] The server analyzes the collected feedback and updates the user profile database.

[1308] Specific behavior:

[1309] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[1310] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Feedback can also be used to improve the accuracy of future matches and build long-term relationships.

[1311] Example 2

[1312] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1313] Conventional dating systems have difficulty achieving more personalized matching accuracy because they do not take into account the user's emotional state. Furthermore, they lack a mechanism for effectively utilizing user feedback, making it difficult to increase long-term satisfaction. The present invention aims to solve these problems by effectively utilizing the user's emotional state and feedback to achieve highly accurate matching and reflecting post-date feedback in the next match.

[1314] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for interacting with the user and collecting information about the user's love life, a means for storing and analyzing the collected information in a database, and a means for transmitting the collected information to an emotion analysis engine and recognizing the user's emotional state. This enables the user's emotional state to be analyzed in real time and personalized responses to be provided. In addition, the server includes a means for extracting match candidates with other users using the analysis results, a means for a dialogue system linked to multiple users to interact and improve matching accuracy, a means for presenting match candidates to the user and arranging a date date, and a means for collecting user feedback after the date and improving the accuracy of the next match. This allows the user to experience matching with the most suitable partner after having their emotional state understood, and by incorporating the feedback, it is possible to continuously achieve high-satisfaction matching.

[1315] A "user" is someone who uses the system to provide information about love and romance and receives services such as dialogue and matching.

[1316] A "dialogue system" is a software mechanism that communicates with users and collects information through questions and answers.

[1317] A "database" is an information system that stores collected information in an organized manner and allows it to be searched and analyzed as needed.

[1318] An "emotion analysis engine" is a technology that analyzes text data obtained from users and recognizes their emotional state (joy, sadness, anger, etc.) from its content.

[1319] "Matching candidates" are other users who are presumed to be compatible with the user based on collected and analyzed information.

[1320] "Feedback" refers to the impressions and opinions provided by users after a date, etc., and is information that the system uses to improve the accuracy of matching next time.

[1321] A "profile database" is an information system for storing data such as a user's basic information, hobbies and preferences, and past feedback.

[1322] "Algorithm" refers to the calculation procedures and methods used to achieve optimal matching based on collected and analyzed user information.

[1323] "Matching accuracy" is an indicator of how suitable and satisfying the partner suggested by the system is for the user.

[1324] This invention relates to a system that uses a communication app to collect information about users' romantic relationships and uses an emotion analysis engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion analysis engine, a matching algorithm, a means of arranging date dates, and a means of collecting feedback.

[1325] Program processing overview

[1326] User initiated interaction

[1327] The user opens a communication app (for example, a messaging app) and starts a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, when the user is asked, "What kind of person is your ideal partner?", they answer, "Someone who loves movies and is kind."

[1328] Sending information from the device to the server

[1329] The device sends the user's answers in real time to the server, which converts the data into an appropriate format and forwards it to the server.

[1330] Server-based information analysis and emotion recognition

[1331] The server receives the transmitted data and stores it in the user's profile database. The server also sends the collected information to an emotion analysis engine, which recognizes the user's emotional state (happiness, sadness, anger, etc.) from the text data. For example, if a user makes a negative statement such as "I haven't been doing well in love lately...", the emotion analysis engine will recognize that emotion as "sadness."

[1332] Selection of match candidates and information exchange

[1333] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, two love-talking AIs might share information such as "This user has been having trouble with love recently," and match users who share common problems.

[1334] Presenting matching results and arranging dates

[1335] Based on the analysis results, the server presents the user with the best possible match candidates. For example, it might say, "We suggest scheduling a date for next Saturday at 3 p.m. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[1336] Post-date feedback and profile updates

[1337] After the date, the user communicates their thoughts to the love-talk AI through the LINE app. An example of feedback is, "I had a great time. I'd like to see you again." The device sends this feedback to the server, which adds it to the profile database. The analyzed feedback information is used for the next match.

[1338] Examples of prompt statements

[1339] 1. "Hello, what love story would you like to talk about today?"

[1340] 2. "What movies have you seen recently? Do you have any recommendations?"

[1341] 3. "What are your ideal partner's criteria?"

[1342] Hardware and software used

[1343] This system uses smartphones and tablets as user devices and a high-performance cloud server as the server. The software used includes a communication app, a database management system (e.g., MySQL, PostgreSQL), a sentiment analysis engine (e.g., Google Cloud Natural Language API), and a program for implementing the matching algorithm.

[1344] This system allows users to effectively engage in conversations while being aware of their own emotions, and also allows users to experience highly accurate matching with their ideal partner, and by utilizing feedback after the date, it is possible to build long-term relationships.

[1345] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1346] Step 1:

[1347] The user opens the LINE app and starts a conversation with the love talk AI. The prompt "Hello, it's time to talk about love. Right away, what's your favorite movie genre?" is displayed. The user types "I like science fiction movies." This input triggers the next process.

[1348] Step 2:

[1349] The terminal sends input data from the user to the server in real time. The data sent is text data such as "I like science fiction movies." The server receives the input data, encodes it in UTF-8 format, and prepares it for analysis.

[1350] Step 3:

[1351] The server stores the received data in a profile database. Specifically, the attributes "user ID" and "fan of science fiction movies" are added to the database. At the same time, the server sends the text data to an emotion analysis engine. The emotion analysis engine uses natural language processing technology to analyze the data as "joy" and returns the result to the server.

[1352] Step 4:

[1353] The server analyzes the profile database based on the "joy" result obtained from the emotion analysis engine to find commonalities with other users. Specifically, it searches for users who also "like science fiction movies" and whose emotional state is "joy." When commonalities are found, the love-talk AIs exchange user information.

[1354] Step 5:

[1355] Based on the analysis results, the server selects the best match candidate for each user. For example, since user A and user B both like science fiction movies, it is assumed that they are compatible. The server presents this information to user A as a prompt: "I suggest scheduling a date for next Saturday at 3 p.m. Would you agree?"

[1356] Step 6:

[1357] If User A responds with "Yes, please," the input is again sent by the device to the server. The server confirms the date and notifies both User A and User B of the date details, including the date, time, and location.

[1358] Step 7:

[1359] After the date, the user sends feedback to the love story AI through the LINE app. For example, the user might say, "The date was so much fun! I'd like to see you again." This input data is sent from the device to the server.

[1360] Step 8:

[1361] The server receives the feedback, adds it to the profile database as "high dating satisfaction," and analyzes the feedback information to use it to improve the accuracy of the next match.

[1362] This process allows the system to analyze users' emotions in real time, providing personalized conversations and matching. It also uses post-date feedback to improve future matches, increasing long-term satisfaction.

[1363] (Application example 2)

[1364] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1365] Existing communication apps have difficulty efficiently collecting and accurately analyzing users' romantic information for matching. Furthermore, they lack mechanisms for adjusting advertising content in real time based on the user's emotional state. Therefore, improving the accuracy of romantic information collection and analysis, as well as the user experience, remains a challenge.

[1366] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1367] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing the collected information in a database and analyzing it, means for extracting match candidates with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for displaying advertisements in real time based on the user's emotional state, means for presenting match candidates to the user and arranging date dates, and means for collecting user feedback after the date and improving the accuracy of the next match, thereby enabling highly accurate matching and advertisement display that takes the user's emotional state into consideration.

[1368] "User" refers to an individual who uses the system to provide information about love.

[1369] An "interactive system" refers to a program or device that communicates with users and collects romantic information.

[1370] A "database" is a collection of structured data used to organize and store collected information and perform necessary analysis.

[1371] "Matching candidates" are other users who are considered to be compatible and are suggested to the user as a result of the system's analysis.

[1372] "Emotional state" refers to the psychological state or mood that can be inferred from a user's facial expressions and comments.

[1373] "Advertisement" means information displayed to attract a user's attention and promote a particular product or service.

[1374] "Scheduling" is the process of determining a suitable date and time for matched users to meet in person.

[1375] "Feedback" refers to the impressions and evaluations provided by users after using the service.

[1376] This invention relates to a system that uses a communication app to collect information about a user's romantic relationship and utilizes an emotion engine to perform highly accurate matching. It also provides a mechanism for adjusting advertising content in real time based on the user's emotional state.

[1377] Program Generation and Implementation

[1378] The system consists of the following elements:

[1379] 1. Devices that interact with the user:

[1380] Users interact with the system using LINE or a similar communication app.

[1381] The user's responses and emotional state are analyzed in real time.

[1382] 2. Server that manages and analyzes information:

[1383] The server stores the information about the user's love life sent from the terminal in a database.

[1384] The information is analyzed using an emotion engine to recognize the user's emotional state.

[1385] 3. Emotion Engine:

[1386] The emotion engine analyzes the collected text data and identifies the user's emotions.

[1387] The resulting emotional data is used to tailor the content of the dialogue and to determine the display of advertisements.

[1388] 4. Matching Algorithm:

[1389] Based on profile data and emotional data, the server identifies commonalities and compatibility with other users and extracts potential matches.

[1390] A dialogue system linked to multiple users exchanges information, improving the accuracy of matching.

[1391] 5. Advertising display module:

[1392] Ad content is adjusted and displayed in real time based on the user's emotional state.

[1393] For example, if a user is feeling "happy," entertainment-related ads will be displayed, and if they are feeling "sad," ads for relaxation services will be displayed.

[1394] Specific examples of processing

[1395] 1. Start a dialogue with the user:

[1396] Users open the LINE app and begin a conversation with the love-talk AI.

[1397] For example: "Hi, what movie do you feel like watching today?"

[1398] The user answers, "Science fiction movies."

[1399] 2. Sentiment Analysis and Data Storage:

[1400] The user's answers are sent to the server and stored in a database.

[1401] The emotion engine recognizes the user's emotional state as "joy."

[1402] 3. Matching Process:

[1403] The server uses the collected data to find commonalities with other users.

[1404] Example: Extract matching candidates based on "This user likes movies" and "This user also likes movies."

[1405] 4. Advertising:

[1406] Select appropriate ads based on the user's emotional state and display them in real time.

[1407] Examples: "New sci-fi movie screening information" or "Relaxation products"

[1408] Prompt Sentence Examples

[1409] "The user's current emotional state has been identified as 'fun'. Suggest ads related to cinemas and leisure activities."

[1410] "The user's current emotional state has been identified as 'sad.' Suggest ads for products and services that will help them relax."

[1411] This invention allows users to experience highly accurate love matching and advertisements that adapt to their emotional state, which increases user satisfaction and leads to the development of long-term relationships.

[1412] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1413] Step 1:

[1414] Initiate a conversation with the user

[1415] The user opens the LINE app and starts a conversation with the love-talk AI. As the user answers questions, the answers are sent from the device to the server in real time. The input is the user's text response (e.g., "I like science fiction movies"), and the output is sending this data to the server.

[1416] Step 2:

[1417] Collecting information and storing it in a database

[1418] The server receives the user's answers sent from the device and stores them in a database. The information is stored in a structured format for later analysis. The input is the user's answers and the output is the data stored in the database.

[1419] Step 3:

[1420] Analyzing emotional states

[1421] The server sends the collected text data to the emotion engine and analyzes the user's emotional state. For example, from the answer "I like science fiction movies," it recognizes "joy." The input is text data, and the output is the emotional state (e.g., "joy"). Here, natural language processing technology is used to analyze the text data.

[1422] Step 4:

[1423] Extracting match candidates

[1424] The server finds commonalities and compatibility with other users based on the information stored in the database and the results of emotional analysis. Match candidates are selected by an algorithm. The input is the user's profile data and emotional data, and the output is a list of match candidates. Specifically, commonalities are found based on hobbies and emotional states.

[1425] Step 5:

[1426] Advertisement content can be adjusted in real time

[1427] The server selects appropriate advertisements based on the user's emotional state and displays them through the terminal. For example, when the user is feeling "fun," entertainment-related advertisements are displayed. The input is emotional state data, and the output is the advertisement to be displayed. Here, the process of selecting appropriate advertisements from an advertisement database is carried out.

[1428] Step 6:

[1429] Present potential matches to the user

[1430] The server presents the selected matches to the user and proposes a date. If the user accepts the proposal, the date details are sent to both parties. The input is a list of matches, and the output is the user's acceptance and the date information.

[1431] Step 7:

[1432] Collect feedback to improve the accuracy of your next match

[1433] After the date, the user shares their thoughts through the LINE app, and the feedback is sent to the server. The collected feedback is added to a database and used for the next match. The input is the feedback data, and the output is updated profile data. Text analysis technology is used for feedback analysis.

[1434] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1435] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1436] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1437] [Fourth embodiment]

[1438] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1439] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1440] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1441] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1442] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1443] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1444] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1445] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1446] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1447] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[1448] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1449] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1450] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1451] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an algorithm that arranges date dates, and a means of collecting feedback.

[1452] Program processing overview

[1453] A conversation between the user and the love-talk AI

[1454] Users and devices

[1455] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[1456] From the device to the server

[1457] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server analyzes the user's answers and adjusts the content of the next conversation.

[1458] Love talk AI conversation and matching

[1459] server

[1460] The server analyzes the profile database to find commonalities and compatibility with other users. The love-talking AIs associated with multiple users converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user likes science fiction movies" and "My user also likes science fiction movies."

[1461] Matching candidates and date scheduling

[1462] From the server to the user

[1463] The server presents the matched users with suggestions for scheduling a date. For example, the server might suggest, "Would you like to schedule a date for next Saturday at 3 p.m.?" If the user agrees, the server notifies both parties of the date details.

[1464] Post-date feedback and rematching

[1465] Users and devices

[1466] After the date, the user again communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and what they would like to do next time. An example of feedback is, "I had a great time. I would like to meet you again."

[1467] From the device to the server

[1468] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[1469] Specific examples of processing

[1470] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[1471] User: "Hello, nice to meet you."

[1472] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[1473] User: "I like sci-fi movies."

[1474] 2. The AI ​​stores the user's answers in a database

[1475] Server: Add "SF movie lover" to the user's profile.

[1476] 3. The server finds common ground with other users

[1477] Server: "User A and User B both like science fiction movies."

[1478] 4. Propose potential matches and arrange dates

[1479] Server: "Would you like to schedule a date for next Saturday at 3pm?"

[1480] User: "Yes, please."

[1481] 5. Collect post-date feedback and update your profile

[1482] User: "The date was so much fun. I hope to see you again."

[1483] Server: "'High dating satisfaction' has been added to User A's profile."

[1484] This system allows users to experience high-precision matching while minimizing tedious messaging, and utilizes feedback to help build long-term relationships.

[1485] The processing flow will be explained below.

[1486] Program processing steps

[1487] Step 1:

[1488] The user opens the LINE app and starts a conversation with the love-talk AI.

[1489] Users launch the LINE app and talk to the love-talk AI.

[1490] The Love Talk AI asks users questions about love.

[1491] Specific behavior:

[1492] User: "Hi, how are you doing?"

[1493] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[1494] Step 2:

[1495] The love story AI sends the user's answers to a database

[1496] The user's answers are sent to the server in real time.

[1497] The server receives the user's answers and stores them in a profile database.

[1498] Specific behavior:

[1499] User: "I'd like someone who is kind and likes movies."

[1500] Server: "I've added the 'kind and movie-loving' information to the profile database."

[1501] Step 3:

[1502] The server analyzes the database and finds commonalities with other users.

[1503] The server analyzes the information in the database and searches for other users who share common interests and values.

[1504] Specific behavior:

[1505] Server: "User A and User B both love movies, especially science fiction movies."

[1506] Step 4:

[1507] Love talk AIs talk to each other to improve matching accuracy

[1508] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[1509] Specific behavior:

[1510] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[1511] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[1512] Step 5:

[1513] The server presents potential matches to the user

[1514] The server notifies the user of highly accurate matching candidates.

[1515] Specific behavior:

[1516] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[1517] Step 6:

[1518] Arrange a date

[1519] The server coordinates with potential matches and suggests dates.

[1520] Specific behavior:

[1521] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[1522] User: "Yes, please."

[1523] Step 7:

[1524] Gather post-date feedback

[1525] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[1526] The terminal sends the feedback to the server.

[1527] Specific behavior:

[1528] Love Talk AI: "How was your date? Do you want to see me again?"

[1529] User: "It was so much fun! I hope to see you again."

[1530] Step 8:

[1531] The server analyzes your feedback and updates your profile

[1532] The server analyzes the collected feedback and updates the user profile database.

[1533] Specific behavior:

[1534] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[1535] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Furthermore, by improving the accuracy of the next match based on feedback, it is possible to build a long-term relationship.

[1536] Example 1

[1537] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1538] Conventional matching systems have difficulty effectively collecting and analyzing information about users' romantic relationships and performing highly accurate matching. Furthermore, they lack a method for appropriately utilizing user feedback to improve the accuracy of the next match. This has led to issues such as a decrease in user satisfaction and difficulty in building long-term relationships.

[1539] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1540] In this invention, the server includes: means for interacting with users and collecting information about their romantic relationships; means for storing the collected information in a database and analyzing it using a generative AI model; means for generating prompts based on the analysis results and extracting potential matches with other users; means for a dialogue system associated with multiple users to interact with the users and use the generative AI model to improve the accuracy of matching; means for presenting potential matches to the users and arranging date dates; and means for collecting user feedback after the date and improving the accuracy of the next match. This makes it possible to efficiently collect and analyze information about users' romantic relationships and achieve high-precision matching. Furthermore, by utilizing the feedback, the accuracy of the next match can be improved, increasing user satisfaction and supporting the building of long-term relationships.

[1541] "User" means any individual or entity that uses the System.

[1542] A "dialogue system" is a system that communicates with users in natural language.

[1543] "Information about love" refers to information about a user's interests, preferences, opinions, experiences, etc. regarding love.

[1544] A "database" is a system for organizing and storing information, making it easy to retrieve when needed.

[1545] A "generative AI model" is an algorithm that uses artificial intelligence technology to analyze input information and generate new content or answers. Specifically, it refers to models that perform natural language processing and text generation.

[1546] A "prompt" is text or instructions that are input into a generative AI model, allowing the AI ​​to generate an appropriate response or analysis result.

[1547] "Matching candidates" are other users who are suggested to a user and who are likely to have commonalities or compatibility with the user.

[1548] "Feedback" refers to the impressions and evaluations that users provide to the system after use.

[1549] A "profile database" is a database that stores information about user characteristics and interests.

[1550] An "algorithm" is a set of steps or a computational method for solving a particular problem.

[1551] The present invention relates to a system that uses a communication app to collect information about a user's romantic interests and perform highly accurate matching. The system allows users to interactively provide their romantic preferences and wishes, and based on that, the system proposes optimal matches.

[1552] System configuration

[1553] The system consists of the following elements:

[1554] 1. User device: smartphone or tablet (iOS, Android).

[1555] 2. Communication app: LINE.

[1556] 3. Server: High-performance cloud server (AWS, Google Cloud).

[1557] 4. Love Talk AI: Generative AI models (such as GPT-3).

[1558] 5. Profile database: NoSQL database (MongoDB, Firebase).

[1559] Program processing overview

[1560] First, the user opens a communication app and starts a conversation with the love-talk AI. Through this conversation, information about the user's love life is collected. For example, the user might respond as follows:

[1561] User: Hello, nice to meet you.

[1562] AI: Hello! Let's talk about love today. What is your favorite movie genre?

[1563] User: I like sci-fi movies.

[1564] The device sends this information to a server in real time. The server analyzes the received information using a generative AI model (such as GPT-3) and stores the results in a database. Specifically, the tag "SF movie lover" is added to the user's profile as analyzed information.

[1565] The matching process

[1566] The server analyzes the information in the profile database to find other users with whom the user has common interests and good chemistry. It uses a generative AI model to generate prompts and appropriately analyzes various user information. Specific examples of prompts include:

[1567] Example prompt 1: The user has initiated a new interaction. Please ask a question.

[1568] Example prompt 2: The user likes science fiction movies. Create the following question:

[1569] Example prompt 3: I received some post-date feedback. Please add this information to your profile.

[1570] Date scheduling and feedback

[1571] Based on the analysis results, the server will suggest the best match candidates to the user. For example, it might suggest to the user, "Would you like to schedule a date for next Saturday at 3 PM?" If the user agrees, the date is confirmed. After the date, the user provides feedback through the LINE app:

[1572] User: The date was so much fun. I hope to see you again.

[1573] This feedback is sent from the device to the server, where it is analyzed again using the generative AI model and the results are added to the profile database. This feedback information is used to improve the accuracy of the next match.

[1574] System Benefits

[1575] The system allows users to easily provide information about their romantic interests through an interactive format, and uses a generative AI model to achieve highly accurate matches. Furthermore, by utilizing user feedback, the system can improve the accuracy of the next match and help build long-term relationships.

[1576] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1577] Step 1:

[1578] A user starts a conversation with a love story AI for the first time on the LINE app.

[1579] Subject: User

[1580] Specific operation: The user opens the communication app (LINE), adds the love talk AI as a friend, and begins a conversation.

[1581] Input: User's initial message (e.g. "Hello, nice to meet you.")

[1582] Output: Response from the love talk AI (e.g., "Hello! Let's talk about love today. What's your favorite movie genre?")

[1583] Data processing: Obtain user messages and provide them as prompts to the AI

[1584] Step 2:

[1585] User responses are sent to the server in real time

[1586] Subject: Terminal

[1587] Specific operation: Using LINE's API, the user's response is extracted and sent to the server as an HTTP request.

[1588] Input: User's response message (e.g., "I like science fiction movies.")

[1589] Output: A reply message is sent to the server

[1590] Data processing: Convert the user's response into JSON format and send it to the server

[1591] Step 3:

[1592] The server analyzes the user's answers and stores them in a database

[1593] Subject: Server

[1594] Specific operation: The server analyzes the received user's answer using a generative AI model (such as GPT-3) to extract meaning. It generates tags such as "I like science fiction movies."

[1595] Input: Answer data in JSON format (e.g., "I like science fiction movies.")

[1596] Output: Analysis results stored in a database (e.g., a tag such as "SF movie lover")

[1597] Data processing: Input prompts into the generative AI model, extract the meaning of the answers, and add them as tags to the database

[1598] Step 4:

[1599] The server scans the database for commonalities

[1600] Subject: Server

[1601] What it does: Uses a database query to create a list of other users who share the same tag "I like science fiction movies."

[1602] Input: User tags (e.g. "I like sci-fi movies")

[1603] Output: A list of other users with common tags

[1604] Data manipulation: query the database to find users with common tags

[1605] Step 5:

[1606] The server selects the best match from a list of users with common interests.

[1607] Subject: Server

[1608] Specific operation: Using an AI algorithm, scores are assigned based on the number of commonalities and the content of the feedback, and the user with the highest score is selected.

[1609] Input: List of users with common tags, feedback data

[1610] Output: Best matching candidates

[1611] Data processing: Run a scoring algorithm to select the best candidates

[1612] Step 6:

[1613] The server will suggest dates to the user.

[1614] Subject: Server

[1615] Specific operation: The server uses LINE's message sending API to send a date suggestion message to the user.

[1616] Input: Match candidate data, proposal message template

[1617] Output: Suggestion message sent to the user's LINE app

[1618] Data processing: Generate a suggested message and send it via the LINE API

[1619] Step 7:

[1620] Users submit feedback after a date

[1621] Subject: User

[1622] Specific operation: The user opens the LINE app and sends their impressions of the date to the love story AI.

[1623] Input: User's feedback message (e.g., "The date was great. I hope to see you again.")

[1624] Output: A feedback message is sent to the terminal

[1625] Data processing: Obtaining user feedback as text

[1626] Step 8:

[1627] The device sends feedback to the server

[1628] Subject: Terminal

[1629] Specific behavior: Uses the LINE API to extract user feedback messages and send them to the server as HTTP requests.

[1630] Input: Feedback message (e.g., "The date was great. I hope to see you again.")

[1631] Output: Feedback is sent to the server

[1632] Data processing: Convert the feedback message into JSON format and send it to the server

[1633] Step 9:

[1634] The server analyzes the feedback and updates the database

[1635] Subject: Server

[1636] Specific operation: The server inputs the feedback into the generative AI model, extracts a rating such as "high satisfaction," and adds that rating to the profile database.

[1637] Input: Feedback data in JSON format

[1638] Output: Evaluation result updated in the database (e.g., "Highly satisfied")

[1639] Data processing: Analyze using a generative AI model and add the evaluation results to the database as tags

[1640] (Application example 1)

[1641] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1642] In modern society, demand for online dating services is increasing. However, traditional systems struggle to accurately grasp users' detailed hobbies and interests, limiting the accuracy of matching. Furthermore, they often fail to provide a smooth process leading to an actual date, resulting in an unsatisfactory user experience. Furthermore, there was a lack of a mechanism for collecting user feedback and incorporating it into future matches.

[1643] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1644] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing and analyzing the collected information in a database, means for extracting potential matches with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for simulating a virtual date using virtual reality, means for presenting potential matches to the user and arranging the date, and means for collecting user feedback after the date to improve the accuracy of the next match. This makes it possible to accurately grasp the user's detailed hobbies and interests and provide highly accurate matches. Furthermore, the virtual date simulation can provide users with an experience similar to a real date, improving the accuracy of the next match.

[1645] The "means of interacting with the user and collecting information" refers to an interface that analyzes the text and voice data entered by the user and extracts their romantic interests and preferences.

[1646] "Means for storing and analyzing data in a database" refers to a system for storing collected user information in a digital database and analyzing that data using an algorithm.

[1647] "Means for extracting matching candidates" is a function that identifies people who share common interests and preferences among multiple users based on analyzed data.

[1648] "Means for dialogue systems to improve matching accuracy" refers to a process in which automated dialogue systems associated with multiple users communicate and exchange information with each other to improve matching accuracy.

[1649] "Means for simulating a virtual date using virtual reality" is a system that uses virtual reality (VR) technology to allow users to experience a date in a digital space.

[1650] "Means for arranging date dates" is a function that allows users to propose a date and time for a date and reflect it in the schedule after obtaining mutual consent.

[1651] "Means for collecting user feedback and improving the accuracy of the next match" refers to a system that collects and analyzes feedback provided by users after a date and reflects the results in the next match.

[1652] "Means for updating the profile database" refers to the ability to keep the existing database up to date with collected feedback and new user information.

[1653] An "algorithm to improve matching accuracy" is a calculation method or procedure for improving matching accuracy based on user information and feedback.

[1654] "Means of improving the accuracy of analysis by inputting prompt sentences into a generative AI model" refers to the process in which a dialogue system inputs prompt sentences containing user information and intentions into a generative AI, thereby obtaining more accurate analysis results.

[1655] This invention relates to a system that collects information related to love from users and realizes highly accurate matching based on that information. The system mainly consists of a terminal that interacts with users, a server that manages and analyzes the collected information, a virtual dating simulation using virtual reality (VR) technology, and a means of collecting feedback.

[1656] First, a user uses a communication app to converse with a dialogue system on their device. This dialogue system collects answers from the user to questions about love. For example, if a user is asked, "Where is your ideal date spot?", the system will respond, "A movie theater." This answer is sent to the server in real time.

[1657] The server then receives the collected information and stores it in a database. The stored information is then analyzed to extract the user's preferences and interests. This analysis is performed using a generative AI model. For example, there is a process for adding "users who like cinemas" to a user's profile.

[1658] The server then finds commonalities with other users and extracts potential matches. A dialogue system linked to multiple users exchanges information to improve the accuracy of the match. For example, the server can extract potential matches between users who share the same favorite movie genres.

[1659] Once this match candidate is confirmed, the server will propose a virtual date to the user. This proposal will utilize virtual reality (VR) technology. For example, a proposal may be sent to the user saying, "Would you like to simulate a virtual movie date next Saturday at 3 p.m.?" If the user agrees, the virtual date simulation will be carried out.

[1660] Once the date is over, the user provides feedback again through the dialogue system. This feedback is sent to the server again and stored in the database. For example, it may include feedback such as, "The date was really fun. I'd like to meet you again." This feedback information is reflected in the next match.

[1661] The present invention also includes a process using a generative AI model. Specifically, a means is provided for the AI ​​model to improve the accuracy of analysis using prompt sentences. For example, there is a prompt sentence that reads, "Please identify the user's hobby from the following text: movie theaters."

[1662] As a result, this system realizes a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, making it possible to provide highly accurate love matching.

[1663] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1664] Step 1: Collect user information

[1665] The user opens a communication app and starts a conversation with the dialogue system. The device collects the text data entered by the user and sends the answer to the server in real time. For example, if the user answers, "My favorite movie genre is science fiction," that information is sent. (Input) User's text data (Output) Text data received by the server

[1666] Step 2: Store and analyze data

[1667] The server stores the received text data in a database. After storage, the data is analyzed using a generative AI model to extract the user's preferences and interests. At this time, a profile of "users who like science fiction movies" is generated from the information that "favorite movie genre is science fiction." (Input) Text data stored on the server (Output) Analyzed user profile data

[1668] Step 3: Extracting match candidates

[1669] Based on the analyzed profile data, the server finds commonalities with other users and extracts matching candidates. At this time, a dialogue system linked to multiple users engages in dialogue, and by exchanging common interests and preferences, the accuracy of the match is improved. For example, a commonality such as "User A and User B both like science fiction movies" can be found. (Input) Analyzed user profile data (Output) List of matching candidates

[1670] Step 4: Propose a virtual date

[1671] The server proposes a virtual date to the user based on the list of match candidates. Specifically, it proposes a simulated date using virtual reality (VR) technology. The proposal includes a message such as "Would you like to simulate a virtual movie date next Saturday at 3pm?" (Input) Match candidate list (Output) Date proposal message to the user

[1672] Step 5: Conduct a virtual date

[1673] If the user agrees to the virtual date, a dating simulation using virtual reality (VR) technology will be executed. The user can experience the virtual date through their device, experiencing a sensation similar to a real date. (Input) User's consent to the date (Output) Execution of the virtual date simulation

[1674] Step 6: Gather feedback

[1675] When the date is over, the user again provides feedback through the dialogue system. The terminal collects the user's feedback and sends the information back to the server. For example, the collected feedback is "The date was very fun. I'd like to see you again." (Input) User's feedback text (Output) Feedback data received by the server

[1676] Step 7: Analyze feedback and update the database

[1677] The server analyzes the received feedback data and updates the profile database. The analyzed feedback information is used to improve the accuracy of the next match. For example, information such as "high dating satisfaction" is added to the profile. (Input) Feedback data stored on the server (Output) Updated user profile data

[1678] Through these steps, the system achieves a series of processes from collecting user information to analysis, matching, virtual dating, and feedback collection, enabling it to provide highly accurate love matching.

[1679] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1680] This invention relates to a system that uses communication apps such as LINE to collect information about users' romantic relationships and uses an emotion engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion engine, an algorithm that arranges date dates, and a means of collecting feedback.

[1681] Program processing overview

[1682] A conversation between the user and the love-talk AI

[1683] Users and devices

[1684] First, the user opens the LINE app and begins a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, if the user is asked, "What kind of person is your ideal partner?", the AI ​​will answer, "Someone who loves movies and is kind."

[1685] From the device to the server

[1686] The device sends the user's answers in real time to the server, which receives them and stores them in a profile database. The server then uses an emotion engine to analyze the user's emotional state and adjust the content of the next conversation.

[1687] Use of emotion engine

[1688] Server and Emotion Engine

[1689] The server sends the user's text data collected during the conversation to the emotion engine. The emotion engine analyzes the text data and recognizes the user's emotions (happiness, sadness, anger, etc.). For example, if a user makes a negative statement such as "My love life hasn't been going well lately...", the emotion engine will recognize the user's emotion as "sadness."

[1690] Love talk AI conversation and matching

[1691] server

[1692] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, the love-talking AIs select matching candidates based on information such as "This user has been having trouble with love recently" and "My user is also having trouble with love."

[1693] Matching candidates and date scheduling

[1694] From the server to the user

[1695] The server presents the matching results to the user and makes a suggestion to arrange the date. For example, the server might say, "We suggest scheduling a date for next Saturday at 3:00 PM. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[1696] Post-date feedback and rematching

[1697] Users and devices

[1698] After the date, the user communicates their thoughts to the love talk AI through the LINE app. This feedback includes their satisfaction with the date and their hopes for the next time. An example of feedback is, "I had a great time. I'd like to meet you again."

[1699] From the device to the server

[1700] The device sends the feedback to the server, which adds it to the profile database, and the analyzed feedback information is used for the next match.

[1701] Specific examples of processing

[1702] 1. The user starts a conversation with the love-talk AI for the first time on the LINE app.

[1703] User: "Hello, nice to meet you."

[1704] AI: "Hello! Let's talk about love today. What's your favorite movie genre?"

[1705] User: "I like sci-fi movies."

[1706] 2. The AI ​​stores the user's answers in a database and sends them to the emotion engine.

[1707] Server: Add "SF movie lover" to the user's profile and analyze emotions using the emotion engine.

[1708] 3. The emotion engine recognizes the user's emotions and adjusts the dialogue accordingly.

[1709] Emotion Engine: "The user's emotion is 'joy'."

[1710] 4. The server finds commonalities with other users and suggests potential matches.

[1711] Server: "User A and User B both love movies, especially science fiction movies."

[1712] 5. Arrange a date

[1713] Server: "I suggest we schedule a date for next Saturday at 3pm. Would you accept?"

[1714] User: "Yes, please."

[1715] 6. Collect post-date feedback and update your profile

[1716] User: "The date was so much fun! I hope to see you again."

[1717] Server: "'High dating satisfaction' has been added to User A's profile."

[1718] This system recognizes users' emotions, allowing them to effectively engage in conversations and experience highly accurate matching with the perfect partner. By utilizing feedback, it is possible to build long-term relationships.

[1719] The processing flow will be explained below.

[1720] Program processing steps

[1721] Step 1:

[1722] The user opens the LINE app and starts a conversation with the love-talk AI.

[1723] Users launch the LINE app and talk to the love-talk AI.

[1724] The Love Talk AI asks users questions about love.

[1725] Specific behavior:

[1726] User: "Hi, how are you doing?"

[1727] Love Talk AI: "Hello! What would you like to talk about today? First, tell me about your ideal partner."

[1728] Step 2:

[1729] The love story AI sends the user's answers to a database

[1730] The user's answers are sent to the server in real time.

[1731] The server receives the user's answers and stores them in a profile database.

[1732] Specific behavior:

[1733] User: "I'd like someone who is kind and likes movies."

[1734] Server: "I've added the 'kind and movie-loving' information to the profile database."

[1735] Step 3:

[1736] The server analyzes the user's emotions using an emotion engine.

[1737] The server sends the text data collected during the conversation to the emotion engine.

[1738] The emotion engine analyzes text data and recognizes the user's emotions (joy, sadness, anger, etc.).

[1739] Specific behavior:

[1740] User: "I've had some bad luck with love lately..."

[1741] Emotion Engine: "The user's emotion was identified as 'sadness'."

[1742] Step 4:

[1743] AI adjusts the dialogue content based on the results of the emotion engine

[1744] The love talk AI adjusts the next question and response based on the analysis results of the emotion engine.

[1745] Specific behavior:

[1746] Love Talk AI: "You're having trouble with love, so why don't you talk more about it?"

[1747] Step 5:

[1748] The server analyzes the database and finds commonalities with other users.

[1749] The server analyzes the information and emotional data in the database to find other users who share common interests and values.

[1750] Specific behavior:

[1751] Server: "User A and User B both love movies, especially science fiction movies."

[1752] Step 6:

[1753] Love talk AIs talk to each other to improve matching accuracy

[1754] The love-talking AIs associated with each user will converse with each other to confirm detailed commonalities.

[1755] Specific behavior:

[1756] Love Talk AI 1: "User A especially likes sci-fi movies. What about User B?"

[1757] Love Story AI 2: "User B also loves science fiction movies and posts about movies he's recently seen on social media."

[1758] Step 7:

[1759] The server presents potential matches to the user

[1760] The server notifies the user of highly accurate matching candidates.

[1761] Specific behavior:

[1762] Server: "User B has been matched as the next candidate. We both love science fiction movies and share similar interests."

[1763] Step 8:

[1764] Arrange a date

[1765] The server coordinates with potential matches and suggests dates.

[1766] Specific behavior:

[1767] Server: "I suggest we schedule a date next Saturday at 3pm. Would you accept?"

[1768] User: "Yes, please."

[1769] Step 9:

[1770] Gather post-date feedback

[1771] After the date, the user communicates their thoughts to the love-talk AI through the LINE app.

[1772] The terminal sends the feedback to the server.

[1773] Specific behavior:

[1774] Love Talk AI: "How was your date? Do you want to see me again?"

[1775] User: "It was so much fun! I hope to see you again."

[1776] Step 10:

[1777] The server analyzes your feedback and updates your profile

[1778] The server analyzes the collected feedback and updates the user profile database.

[1779] Specific behavior:

[1780] Server: "We've added 'High dating satisfaction' to User A's profile. This will improve the accuracy of the next match."

[1781] Through these steps, users can experience a highly accurate match with their ideal partner while minimizing the need for tedious messaging. Feedback can also be used to improve the accuracy of future matches and build long-term relationships.

[1782] Example 2

[1783] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1784] Conventional dating systems have difficulty achieving more personalized matching accuracy because they do not take into account the user's emotional state. Furthermore, they lack a mechanism for effectively utilizing user feedback, making it difficult to increase long-term satisfaction. The present invention aims to solve these problems by effectively utilizing the user's emotional state and feedback to achieve highly accurate matching and reflecting post-date feedback in the next match.

[1785] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for interacting with the user and collecting information about the user's love life, a means for storing and analyzing the collected information in a database, and a means for transmitting the collected information to an emotion analysis engine and recognizing the user's emotional state. This enables the user's emotional state to be analyzed in real time and personalized responses to be provided. In addition, the server includes a means for extracting match candidates with other users using the analysis results, a means for a dialogue system linked to multiple users to interact and improve matching accuracy, a means for presenting match candidates to the user and arranging a date date, and a means for collecting user feedback after the date and improving the accuracy of the next match. This allows the user to experience matching with the most suitable partner after having their emotional state understood, and by incorporating the feedback, it is possible to continuously achieve high-satisfaction matching.

[1786] A "user" is someone who uses the system to provide information about love and romance and receives services such as dialogue and matching.

[1787] A "dialogue system" is a software mechanism that communicates with users and collects information through questions and answers.

[1788] A "database" is an information system that stores collected information in an organized manner and allows it to be searched and analyzed as needed.

[1789] An "emotion analysis engine" is a technology that analyzes text data obtained from users and recognizes their emotional state (joy, sadness, anger, etc.) from its content.

[1790] "Matching candidates" are other users who are presumed to be compatible with the user based on collected and analyzed information.

[1791] "Feedback" refers to the impressions and opinions provided by users after a date, etc., and is information that the system uses to improve the accuracy of matching next time.

[1792] A "profile database" is an information system for storing data such as a user's basic information, hobbies and preferences, and past feedback.

[1793] "Algorithm" refers to the calculation procedures and methods used to achieve optimal matching based on collected and analyzed user information.

[1794] "Matching accuracy" is an indicator of how suitable and satisfying the partner suggested by the system is for the user.

[1795] This invention relates to a system that uses a communication app to collect information about users' romantic relationships and uses an emotion analysis engine to perform highly accurate matching. This system is primarily composed of the following elements: a device that communicates with users, a server that manages and analyzes the collected information, an emotion analysis engine, a matching algorithm, a means of arranging date dates, and a means of collecting feedback.

[1796] Program processing overview

[1797] User initiated interaction

[1798] The user opens a communication app (for example, a messaging app) and starts a conversation with the love-talk AI. The AI ​​asks the user questions about love, and the user answers them. For example, when the user is asked, "What kind of person is your ideal partner?", they answer, "Someone who loves movies and is kind."

[1799] Sending information from the device to the server

[1800] The device sends the user's answers in real time to the server, which converts the data into an appropriate format and forwards it to the server.

[1801] Server-based information analysis and emotion recognition

[1802] The server receives the transmitted data and stores it in the user's profile database. The server also sends the collected information to an emotion analysis engine, which recognizes the user's emotional state (happiness, sadness, anger, etc.) from the text data. For example, if a user makes a negative statement such as "I haven't been doing well in love lately...", the emotion analysis engine will recognize that emotion as "sadness."

[1803] Selection of match candidates and information exchange

[1804] The server analyzes the profile database and emotional data to find commonalities and compatibility with other users. The love-talking AIs associated with each user converse with each other and exchange information to improve matching accuracy. For example, two love-talking AIs might share information such as "This user has been having trouble with love recently," and match users who share common problems.

[1805] Presenting matching results and arranging dates

[1806] Based on the analysis results, the server presents the user with the best possible match candidates. For example, it might say, "We suggest scheduling a date for next Saturday at 3 p.m. Would you like to accept?" If the user accepts, the server notifies both parties of the date details.

[1807] Post-date feedback and profile updates

[1808] After the date, the user communicates their thoughts to the love-talk AI through the LINE app. An example of feedback is, "I had a great time. I'd like to see you again." The device sends this feedback to the server, which adds it to the profile database. The analyzed feedback information is used for the next match.

[1809] Examples of prompt statements

[1810] 1. "Hello, what love story would you like to talk about today?"

[1811] 2. "What movies have you seen recently? Do you have any recommendations?"

[1812] 3. "What are your ideal partner's criteria?"

[1813] Hardware and software used

[1814] This system uses smartphones and tablets as user devices and a high-performance cloud server as the server. The software used includes a communication app, a database management system (e.g., MySQL, PostgreSQL), a sentiment analysis engine (e.g., Google Cloud Natural Language API), and a program for implementing the matching algorithm.

[1815] This system allows users to effectively engage in conversations while being aware of their own emotions, and also allows users to experience highly accurate matching with their ideal partner, and by utilizing feedback after the date, it is possible to build long-term relationships.

[1816] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1817] Step 1:

[1818] The user opens the LINE app and starts a conversation with the love talk AI. The prompt "Hello, it's time to talk about love. Right away, what's your favorite movie genre?" is displayed. The user types "I like science fiction movies." This input triggers the next process.

[1819] Step 2:

[1820] The terminal sends input data from the user to the server in real time. The data sent is text data such as "I like science fiction movies." The server receives the input data, encodes it in UTF-8 format, and prepares it for analysis.

[1821] Step 3:

[1822] The server stores the received data in a profile database. Specifically, the attributes "user ID" and "fan of science fiction movies" are added to the database. At the same time, the server sends the text data to an emotion analysis engine. The emotion analysis engine uses natural language processing technology to analyze the data as "joy" and returns the result to the server.

[1823] Step 4:

[1824] The server analyzes the profile database based on the "joy" result obtained from the emotion analysis engine to find commonalities with other users. Specifically, it searches for users who also "like science fiction movies" and whose emotional state is "joy." When commonalities are found, the love-talk AIs exchange user information.

[1825] Step 5:

[1826] Based on the analysis results, the server selects the best match candidate for each user. For example, since user A and user B both like science fiction movies, it is assumed that they are compatible. The server presents this information to user A as a prompt: "I suggest scheduling a date for next Saturday at 3 p.m. Would you agree?"

[1827] Step 6:

[1828] If User A responds with "Yes, please," the input is again sent by the device to the server. The server confirms the date and notifies both User A and User B of the date details, including the date, time, and location.

[1829] Step 7:

[1830] After the date, the user sends feedback to the love story AI through the LINE app. For example, the user might say, "The date was so much fun! I'd like to see you again." This input data is sent from the device to the server.

[1831] Step 8:

[1832] The server receives the feedback, adds it to the profile database as "high dating satisfaction," and analyzes the feedback information to use it to improve the accuracy of the next match.

[1833] This process allows the system to analyze users' emotions in real time, providing personalized conversations and matching. It also uses post-date feedback to improve future matches, increasing long-term satisfaction.

[1834] (Application example 2)

[1835] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1836] Existing communication apps have difficulty efficiently collecting and accurately analyzing users' romantic information for matching. Furthermore, they lack mechanisms for adjusting advertising content in real time based on the user's emotional state. Therefore, improving the accuracy of romantic information collection and analysis, as well as the user experience, remains a challenge.

[1837] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1838] In this invention, the server includes means for interacting with users and collecting information about their romantic relationships, means for storing the collected information in a database and analyzing it, means for extracting match candidates with other users using the analysis results, means for a dialogue system linked to multiple users to interact and improve the accuracy of matching, means for displaying advertisements in real time based on the user's emotional state, means for presenting match candidates to the user and arranging date dates, and means for collecting user feedback after the date and improving the accuracy of the next match, thereby enabling highly accurate matching and advertisement display that takes the user's emotional state into consideration.

[1839] "User" refers to an individual who uses the system to provide information about love.

[1840] An "interactive system" refers to a program or device that communicates with users and collects romantic information.

[1841] A "database" is a collection of structured data used to organize and store collected information and perform necessary analysis.

[1842] "Matching candidates" are other users who are considered to be compatible and are suggested to the user as a result of the system's analysis.

[1843] "Emotional state" refers to the psychological state or mood that can be inferred from a user's facial expressions and comments.

[1844] "Advertisement" means information displayed to attract a user's attention and promote a particular product or service.

[1845] "Scheduling" is the process of determining a suitable date and time for matched users to meet in person.

[1846] "Feedback" refers to the impressions and evaluations provided by users after using the service.

[1847] This invention relates to a system that uses a communication app to collect information about a user's romantic relationship and utilizes an emotion engine to perform highly accurate matching. It also provides a mechanism for adjusting advertising content in real time based on the user's emotional state.

[1848] Program Generation and Implementation

[1849] The system consists of the following elements:

[1850] 1. Devices that interact with the user:

[1851] Users interact with the system using LINE or a similar communication app.

[1852] The user's responses and emotional state are analyzed in real time.

[1853] 2. Server that manages and analyzes information:

[1854] The server stores the information about the user's love life sent from the terminal in a database.

[1855] The information is analyzed using an emotion engine to recognize the user's emotional state.

[1856] 3. Emotion Engine:

[1857] The emotion engine analyzes the collected text data and identifies the user's emotions.

[1858] The resulting emotional data is used to tailor the content of the dialogue and to determine the display of advertisements.

[1859] 4. Matching Algorithm:

[1860] Based on profile data and emotional data, the server identifies commonalities and compatibility with other users and extracts potential matches.

[1861] A dialogue system linked to multiple users exchanges information, improving the accuracy of matching.

[1862] 5. Advertising display module:

[1863] Ad content is adjusted and displayed in real time based on the user's emotional state.

[1864] For example, if a user is feeling "happy," entertainment-related ads will be displayed, and if they are feeling "sad," ads for relaxation services will be displayed.

[1865] Specific examples of processing

[1866] 1. Start a dialogue with the user:

[1867] Users open the LINE app and begin a conversation with the love-talk AI.

[1868] For example: "Hi, what movie do you feel like watching today?"

[1869] The user answers, "Science fiction movies."

[1870] 2. Sentiment Analysis and Data Storage:

[1871] The user's answers are sent to the server and stored in a database.

[1872] The emotion engine recognizes the user's emotional state as "joy."

[1873] 3. Matching Process:

[1874] The server uses the collected data to find commonalities with other users.

[1875] Example: Extract matching candidates based on "This user likes movies" and "This user also likes movies."

[1876] 4. Advertising:

[1877] Select appropriate ads based on the user's emotional state and display them in real time.

[1878] Examples: "New sci-fi movie screening information" or "Relaxation products"

[1879] Prompt Sentence Examples

[1880] "The user's current emotional state has been identified as 'fun'. Suggest ads related to cinemas and leisure activities."

[1881] "The user's current emotional state has been identified as 'sad.' Suggest ads for products and services that will help them relax."

[1882] This invention allows users to experience highly accurate love matching and advertisements that adapt to their emotional state, which increases user satisfaction and leads to the development of long-term relationships.

[1883] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1884] Step 1:

[1885] Initiate a conversation with the user

[1886] The user opens the LINE app and starts a conversation with the love-talk AI. As the user answers questions, the answers are sent from the device to the server in real time. The input is the user's text response (e.g., "I like science fiction movies"), and the output is sending this data to the server.

[1887] Step 2:

[1888] Collecting information and storing it in a database

[1889] The server receives the user's answers sent from the device and stores them in a database. The information is stored in a structured format for later analysis. The input is the user's answers and the output is the data stored in the database.

[1890] Step 3:

[1891] Analyzing emotional states

[1892] The server sends the collected text data to the emotion engine and analyzes the user's emotional state. For example, from the answer "I like science fiction movies," it recognizes "joy." The input is text data, and the output is the emotional state (e.g., "joy"). Here, natural language processing technology is used to analyze the text data.

[1893] Step 4:

[1894] Extracting match candidates

[1895] The server finds commonalities and compatibility with other users based on the information stored in the database and the results of emotional analysis. Match candidates are selected by an algorithm. The input is the user's profile data and emotional data, and the output is a list of match candidates. Specifically, commonalities are found based on hobbies and emotional states.

[1896] Step 5:

[1897] Advertisement content can be adjusted in real time

[1898] The server selects appropriate advertisements based on the user's emotional state and displays them through the terminal. For example, when the user is feeling "fun," entertainment-related advertisements are displayed. The input is emotional state data, and the output is the advertisement to be displayed. Here, the process of selecting appropriate advertisements from an advertisement database is carried out.

[1899] Step 6:

[1900] Present potential matches to the user

[1901] The server presents the selected matches to the user and proposes a date. If the user accepts the proposal, the date details are sent to both parties. The input is a list of matches, and the output is the user's acceptance and the date information.

[1902] Step 7:

[1903] Collect feedback to improve the accuracy of your next match

[1904] After the date, the user shares their thoughts through the LINE app, and the feedback is sent to the server. The collected feedback is added to a database and used for the next match. The input is the feedback data, and the output is updated profile data. Text analysis technology is used for feedback analysis.

[1905] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1906] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1907] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1908] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1909] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1910] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1911] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1912] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1913] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1914] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1915] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1916] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1917] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1918] 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.

[1919] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1920] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1921] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1922] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1923] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1924] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1925] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1926] The following is further disclosed regarding the above embodiment.

[1927] (Claim 1)

[1928] A means of interacting with users and collecting information about their love lives;

[1929] A means for storing and analyzing the collected information in a database;

[1930] A means for extracting matching candidates with other users using the analysis results;

[1931] A dialogue system linked to multiple users will converse with each other to improve the accuracy of matching,

[1932] A means to present potential matches to users and arrange dates;

[1933] A means to collect user feedback after a date and improve the accuracy of the next match,

[1934] A system including:

[1935] (Claim 2)

[1936] 10. The system of claim 1, further comprising means for analyzing user feedback and updating the profile database.

[1937] (Claim 3)

[1938] The system of claim 1, including an algorithm that uses collected user information and analysis results to improve matching accuracy.

[1939] "Example 1"

[1940] (Claim 1)

[1941] A means of interacting with users and collecting information about their love lives;

[1942] A means of storing the collected information in a database and analyzing it using a generative AI model;

[1943] A means to generate prompt sentences based on the analysis results and extract matching candidates with other users;

[1944] A dialogue system associated with multiple users interacts with the users and uses a generative AI model to improve the accuracy of the match; and

[1945] A means to present potential matches to users and arrange dates;

[1946] A means to collect user feedback after a date and improve the accuracy of the next match,

[1947] A system including:

[1948] (Claim 2)

[1949] 10. The system of claim 1, further comprising means for analyzing user feedback and updating the profile database.

[1950] (Claim 3)

[1951] The system of claim 1, including an algorithm that uses collected user information and analysis results to improve matching accuracy.

[1952] "Application Example 1"

[1953] (Claim 1)

[1954] A means of interacting with users and collecting information about their love lives;

[1955] A means for storing and analyzing the collected information in a database;

[1956] A means for extracting matching candidates with other users using the analysis results;

[1957] A dialogue system linked to multiple users will converse with each other to improve the accuracy of matching,

[1958] means for simulating a virtual date using virtual reality;

[1959] A means to present potential matches to users and arrange dates;

[1960] A means to collect user feedback after a date and improve the accuracy of the next match,

[1961] A system including:

[1962] (Claim 2)

[1963] 10. The system of claim 1, further comprising means for analyzing user feedback and updating the profile database.

[1964] (Claim 3)

[1965] The system of claim 1, further comprising an algorithm for improving matching accuracy using collected user information and analysis results, and a means for improving analysis accuracy by inputting prompt sentences into the generative AI model.

[1966] "Example 2: Combining Emotion Engines"

[1967] (Claim 1)

[1968] A means of interacting with users and collecting information about their love lives;

[1969] A means for storing and analyzing the collected information in a database;

[1970] means for transmitting the collected information to an emotion analysis engine to recognize an emotional state;

[1971] A means for extracting matching candidates with other users using the analysis results;

[1972] A dialogue system linked to multiple users will converse with each other to improve the accuracy of matching,

[1973] A means to present potential matches to users and arrange dates;

[1974] A means to collect user feedback after a date and improve the accuracy of the next match,

[1975] A system including:

[1976] (Claim 2)

[1977] 10. The system of claim 1, further comprising means for analyzing user feedback and updating a user profile database.

[1978] (Claim 3)

[1979] The system of claim 1, including an algorithm that uses collected user information and analysis results to improve matching accuracy.

[1980] "Application example 2 when combining emotion engines"

[1981] (Claim 1)

[1982] A means of interacting with users and collecting information about their love lives;

[1983] A means for storing and analyzing the collected information in a database;

[1984] A means for extracting matching candidates with other users using the analysis results;

[1985] A dialogue system linked to multiple users will converse with each other to improve the accuracy of matching,

[1986] means for displaying advertisements in real time based on the emotional state of the user;

[1987] A means to present potential matches to users and arrange dates;

[1988] A means to collect user feedback after a date and improve the accuracy of the next match,

[1989] A system including:

[1990] (Claim 2)

[1991] 10. The system of claim 1, further comprising means for analyzing user feedback and updating the profile database.

[1992] (Claim 3)

[1993] The system of claim 1, further comprising an algorithm that uses collected user information and analysis results to improve matching accuracy. [Explanation of symbols]

[1994] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of interacting with users and collecting information about their love lives; A means for storing and analyzing the collected information in a database; A means for extracting matching candidates with other users using the analysis results; A dialogue system linked to multiple users will converse with each other to improve the accuracy of matching, A means to present potential matches to users and arrange dates; A means to collect user feedback after a date and improve the accuracy of the next match, A system including:

2. 10. The system of claim 1, further comprising means for analyzing user feedback and updating the profile database.

3. The system of claim 1 , further comprising an algorithm that uses collected user information and analysis results to improve matching accuracy.

Images