system

Abstract

We provide the system. [Solution] An information processing means for selecting potential romantic partners based on the user's preferences, A negotiation tool that automates negotiations between selected candidates and users, If negotiations are successful, a time management system will be used to coordinate schedules between both parties and set up a meeting. A communication method that automatically generates and sends a polite message when declining a relationship with a candidate, Home-use devices provide an input method that acquires the user's intent through voice recognition, A presentation method that uses generative AI to notify users of candidate suggestions via voice and video, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern matchmaking services have the problem of being costly for users and requiring a large amount of time and effort in the process of finding a partner. As a result, it is difficult for many users to efficiently meet an ideal partner. The purpose of this invention is to provide an environment that reduces the burden on users and enables efficient matchmaking.

Means for Solving the Problems

[0005] <000003> This invention efficiently suggests potential partners by including artificial intelligence means that select candidates based on the user's preferences. It also includes negotiation means that automate negotiations with selected candidates, reducing the burden on both parties. If a negotiation is successful, a scheduling means that adjusts schedules and sets up meetings provides a swift opportunity for face-to-face interaction. Furthermore, when a user declines a relationship, a message generation means that automatically generates and sends a polite message using artificial intelligence, allowing the user to proceed with their search for a partner without experiencing unnecessary stress.

[0006] "Artificial intelligence means" refers to means including algorithms and computational models for analyzing user input data and selecting appropriate candidates based on specific conditions.

[0007] "Negotiation tools" are means for managing the process of automatically processing dialogues and confirmations exchanged between users and selected candidates, and for summarizing those conversations.

[0008] A "scheduling tool" is a means that compares the schedules of the user and the candidate, and determines a mutually convenient date and time to decide on the date and time for a meeting or date.

[0009] "Message generation means" refers to means including a program that has the function of automatically generating a message on behalf of the user indicating that they are declining a relationship and sending it to the other party. [Brief explanation of the drawing]

[0010] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4]This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0011] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0012] First, let's explain the terminology used in the following explanation.

[0013] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0014] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0015] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0016] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), etc.

[0017] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0018] [First Embodiment]

[0019] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0020] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0021] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0022] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0023] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0024] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0025] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0026] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0027] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0028] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0029] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0030] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0031] This invention is a system for providing users with an efficient and low-burden matchmaking service. This system utilizes servers, terminals, and artificial intelligence to support the user's process of finding a partner.

[0032] The user first enters basic information and desired criteria for their ideal partner via their device. This information is sent to and stored on the server. The user's information is analyzed by the server's artificial intelligence to select potential partners that the user is likely to like.

[0033] A list of selected candidates is displayed on the terminal for the user to review. By selecting a candidate of interest, the server communicates the user's intentions to the AI ​​agent on the other side. The server automatically begins negotiations with the candidate, confirming common interests, hobbies, and basic values.

[0034] If negotiations are successful, the server will match the user's and candidate's schedules, find a suitable date and time, and set up a meeting. Information about the scheduled meeting will be sent to both parties' devices.

[0035] After the meeting is successfully completed, the server receives user feedback and then suggests and schedules the next date. If the user wishes to decline a potential partner, they notify the server from their device, and the server uses AI to generate a polite refusal message and send it appropriately.

[0036] For example, if a female user in her 30s desires an ideal partner who is a man in his late 30s who enjoys the outdoors, the server will provide a list of men who meet that criteria. If the user becomes interested in one of them and the server successfully negotiates, the server will schedule an online meeting through a schedule check and notify the user. In this way, users are provided with an efficient opportunity to meet a partner.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The user uses their device to enter basic information and ideal partner criteria, completing the service registration. The device then sends this information to the server.

[0040] Step 2:

[0041] The server stores the received information in a database and analyzes it using artificial intelligence based on the user's preferences and past behavioral history. Based on the analysis results, it selects potential romantic partners who are a good match for the user.

[0042] Step 3:

[0043] The server sends a list of selected candidates to the user's device and presents it to them. The user reviews the list of candidates through their device and selects candidates they are interested in.

[0044] Step 4:

[0045] The selection information is sent from the terminal to the server, and the server communicates the intention to negotiate to the AI ​​agent of the selected candidate. The server then automatically interacts with the candidate using negotiation tools.

[0046] Step 5:

[0047] If the server succeeds in negotiations, it will use scheduling tools based on the user's and candidate's schedule information to set the most suitable date and time for an online meeting.

[0048] Step 6:

[0049] The server notifies both terminals of the meeting information it has set, allowing users to check the schedule. Users provide feedback to the server via their terminals as needed.

[0050] Step 7:

[0051] After the meeting ends, the server receives feedback from the user and offers further date suggestions. If the user wishes to decline a potential partner, they notify the server of their decision via their device, and the server creates and sends a rejection message using a message generation tool.

[0052] (Example 1)

[0053] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0054] In today's world, efficiently and satisfactorily finding and selecting a romantic partner is a significant burden for users. Furthermore, there is a demand for automated negotiation between users and candidates, and smoother scheduling, but conventional systems fail to adequately address these needs. Therefore, a new system is needed that allows users to easily find their ideal partner who meets their desired criteria.

[0055] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0056] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating conversations between the selected partners, and a scheduling management means for coordinating schedules and setting up meetings. This allows the user to efficiently select and negotiate with potential partners and smoothly coordinate schedules.

[0057] A "user" is an individual who uses the system with the purpose of finding a romantic partner.

[0058] A "potential partner" is a potential romantic partner who may be recommended based on the user's preferences and criteria.

[0059] "Calculation means" refers to components used to calculate the most suitable dating candidates based on information provided by the user.

[0060] "Processing means" refers to components that automatically conduct conversations and negotiations between selected potential partners and the user.

[0061] "Schedule management tools" are components used to coordinate the schedules of the user and potential partners and to set up meetings after negotiations have been successful.

[0062] A "text generation means" is a component that automatically creates a polite message when declining a potential partner.

[0063] This invention is a system for streamlining the search and negotiation process for dating partners, using a server, terminals, and artificial intelligence to assist users in finding their ideal partner. The following describes how to implement the system in detail.

[0064] This system begins with the user using a device to enter their basic information and the criteria for their ideal partner. The device is expected to be a smartphone or a personal computer. Once the user fills out and submits the form using the application on their device, this information is sent to the server.

[0065] The server stores the received information in its internal database. The database systems used for this include industry-standard MySQL® and MongoDB. Next, the server analyzes the user information using machine learning algorithms. Software libraries such as Scikit-learn and TENSORFLOW® are expected to be used for this analysis. The purpose of the analysis is to select the most suitable dating candidates based on the user's preferences.

[0066] The selected dating candidates are sent as a list to the terminal by the server and presented to the user. The user can review this list and select candidates they are interested in. The user's selections are sent to the server, which then automatically conducts conversations and negotiations with the selected dating candidates. Natural language processing technology is used for negotiations, with options including NLTK and spaCy.

[0067] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up the actual meeting. This provides the user with a smooth opportunity to meet.

[0068] For example, if a female user in her 30s expresses a preference for a male in his 30s who enjoys sports, the server generates a list of suitable male candidates. It then sets up and notifies the user of any candidates they are interested in for an initial online meeting. This entire process allows users to efficiently and effectively find a partner.

[0069] Finally, this system utilizes prompts to power the AI ​​model. An example of a prompt might be, "I'm a woman in my 30s looking for a man my age who likes sports." Based on this, the AI ​​model generates a list of suitable candidates.

[0070] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0071] Step 1:

[0072] The user uses their device to enter their basic information and ideal partner criteria.

[0073] In terms of the specific operation, the user opens the application on their device, enters their name, age, occupation, hobbies, ideal partner profile, etc., and presses the submit button. This information is the input data, and JSON data is generated as output, which is sent to the server.

[0074] Step 2:

[0075] Data from the terminal is sent to the server, which then stores it in a database.

[0076] In terms of specific operation, JSON data sent from the terminal reaches the server via the network. The server receives this data and stores the information in a database such as MySQL or MongoDB. The input is the JSON data sent from the terminal, and the output is the record stored in the database.

[0077] Step 3:

[0078] The server uses the stored user information to perform analysis and select potential partners.

[0079] Specifically, the server uses libraries such as Scikit-learn and TensorFlow to run a machine learning model to select potential partners that meet the user's criteria. The input for the analysis is user information from a database, and the output is a list of potential partners.

[0080] Step 4:

[0081] The server sends a list of potential partners selected by the server to the user's device, where it is presented to the user.

[0082] Specifically, the server sends a list of potential partners to the terminal in JSON format. The terminal receives this and displays the selected partner's profile in the GUI. The input is the list of potential partners from the server, and the output is the profile screen visible to the user.

[0083] Step 5:

[0084] The user selects candidates they are interested in, and that information is sent to the server.

[0085] In terms of the specific operation, the user clicks on a candidate on the device screen to select it, and then clicks the "Select" button. The selected information is sent from the device to the server. The input is the candidate data selected by the user, and the output is the selection information transmitted to the server.

[0086] Step 6:

[0087] The server automates conversations and negotiations with selected candidates.

[0088] Specifically, the server uses Natural Language Processing (NLP) technology to automatically generate conversation scenarios based on the interests and concerns of the user and the candidate. The input for this activity is the user's selection information and the candidate's profile, and the output is the generated dialogue.

[0089] Step 7:

[0090] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up a meeting.

[0091] In practice, the server checks both parties' calendars, determines the meeting date and time, and notifies both terminals. The input is the calendar information of both parties, and the output is the notification information for the scheduled meeting.

[0092] Step 8:

[0093] After the meeting, the server receives user feedback and generates the next suggestion.

[0094] In practice, the user inputs feedback through their device and sends it to the server. The server analyzes this information, generates a next date plan, and proposes it to the device. The input is user feedback, and the output is the next date suggestion.

[0095] (Application Example 1)

[0096] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0097] Modern matchmaking services demand a great deal of time and effort from users, making them far from efficient. Furthermore, the process of finding an ideal partner involves complex selection, negotiation, and scheduling procedures, highlighting the need for an improved overall user experience. Additionally, the lack of an environment conducive to easily utilizing these services in daily life is a significant challenge.

[0098] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0099] In this invention, the server includes information processing means for selecting potential partners based on the user's preferences, negotiation means for automating negotiations with the selected partners, time management means for coordinating schedules and setting up meetings if negotiations are successful, input means for acquiring the user's intentions through voice recognition using a home device, and presentation means for notifying the user of candidate suggestions via voice and video using a generating AI. This makes it possible for users to efficiently find their ideal partner in their daily lives.

[0100] "Information processing means" refers to technology that has the function of selecting suitable partner candidates from a vast amount of data based on the user's preferences and conditions.

[0101] "Negotiation tools" refer to technologies that automatically negotiate with selected potential partners and implement a process to reach an agreement.

[0102] "Time management techniques" refer to scheduling skills used to coordinate the schedules of both parties after negotiations have been successful and to actually set up meetings or appointments.

[0103] "Communication method" refers to a technology that automatically generates and sends a polite message when a user declines a romantic relationship.

[0104] "Input method" refers to technology that uses voice recognition functionality through home-use devices to receive instructions and intentions from users.

[0105] "Presentation method" refers to a technology that utilizes generative AI to provide users with candidate suggestions through audio or visual means.

[0106] The system for realizing this invention is designed so that the server operates on a cloud platform and integrates information processing, negotiation, time management, communication, input, and presentation means. In the information processing, the server selects suitable partner candidates from a database based on preferences and conditions entered by the user. For this, Python's pandas and NumPy are used as software libraries to enable data analysis.

[0107] On the user terminal, home-use devices handle speech recognition and natural language processing. For example, they implement the speech recognition functions of Google Assistant or Amazon Alexa, accepting input via voice commands. As a means of presentation, candidates are introduced and suggested using a generative AI model via a display or speaker. The generative AI model utilizes OpenAI's GPT. Prompt statements are used to provide the user with the most suitable candidate information.

[0108] The server uses negotiation tools to communicate with automatically selected candidates, and after successful negotiations, it uses time management tools, such as the Google Calendar API, to schedule meetings and dates. During this time, if the user declines a relationship, the server automatically generates an appropriate message via communication tools and sends it to the candidate.

[0109] As a concrete example, if a user asks a household robot in the morning to "find a partner in their 30s who loves nature," the robot will communicate with a server and list candidates who meet the criteria. It can then suggest a schedule for a meeting at an appropriate time. An example of a prompt to the generation AI model would be, "Generate a list of profiles of men in their late 30s who love the outdoors. Please list three characteristics of a person who meets my ideal criteria."

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The user inputs their criteria for a partner via voice through a home robot. The input voice data is converted into text data by the device's voice recognition system (e.g., Google Assistant). The textual preferences and criteria are sent to a server to prepare for the next step.

[0113] Step 2:

[0114] The server uses the received text data to search the database for candidates that match the user's criteria using information processing tools. In this process, data analysis libraries (such as pandas or NumPy) are used to generate a list of candidates that meet the criteria. The resulting candidate list is stored on the server, preparing for the next necessary processing.

[0115] Step 3:

[0116] The server uses a generative AI model to generate suggestions based on the candidate list. Specifically, it utilizes OpenAI's GPT and, given a prompt (e.g., "Generate a profile for a 30-something man who enjoys the outdoors"), generates content that presents the candidate's characteristics and appeal to the user. This generated content is then sent to the terminal via a presentation device.

[0117] Step 4:

[0118] The terminal uses a presentation mechanism to display generated candidate suggestions to the user via voice or display. Based on the presented information, the user selects candidates they are interested in. The selected information is then sent back to the server.

[0119] Step 5:

[0120] The server uses negotiation tools with the selected candidate and initiates automated negotiations with the candidate's system. Two-way information exchange takes place using an API, and communication is conducted to reach an agreement. If an agreement is reached, the result is stored on the server.

[0121] Step 6:

[0122] If negotiations are successful, the server uses time management tools to adjust the schedule. Using the Google Calendar API, it finds a date and time preferred by both the user and the candidate and sets up the meeting. This information is then notified to the device via the transmission channel.

[0123] Step 7:

[0124] Users review and utilize the set schedule. If necessary, messages are automatically generated and sent to candidates via communication channels. For example, if a user declines a meeting, a polite message is generated and appropriately sent to the candidate.

[0125] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0126] This invention provides a system that enables users to engage in matchmaking activities efficiently and with reduced emotional burden. This system includes a server, terminals, artificial intelligence, and an emotion engine.

[0127] First, the user enters basic information and ideal partner criteria using a terminal and registers it in the system. This sends the user's information to the server and stores it in a database. The server then uses artificial intelligence to analyze the stored information and select potential partners who match the user. Furthermore, an emotion engine recognizes emotions from the user's input data to optimize candidate selection.

[0128] The selected list of candidates is sent to the terminal, where the user can review it and select candidates they are interested in. Based on the selected information, the server initiates negotiations with the candidates' AI agents using negotiation tools. During this process, the emotion engine analyzes the user's emotions and optimizes the content and progress of the negotiations.

[0129] If negotiations are successful, the server uses scheduling tools based on the user's and candidate's schedules to set the optimal date and time for a meeting or date. The emotion engine uses the user's emotional information to suggest a suitable time for the meeting or date.

[0130] After the meeting is successfully completed, the server receives feedback from the user and makes further date suggestions and scheduling adjustments. If the user wishes to decline a relationship with a candidate, they notify the server of their decision from their device, and the server uses an emotion engine to generate a polite and considerate rejection message and send it to the other party.

[0131] For example, if a user expresses feelings suggesting anxiety or loss of interest during the negotiation process, the emotion engine detects this, and the server adjusts the negotiation content, taking into account the user's and the other party's reactions. As a result, the user can make a decision about the relationship in a more relaxed state.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] Users access the service using their devices, enter their profile information and ideal partner criteria, and register. This registration information is then sent from the device to the server.

[0135] Step 2:

[0136] The server stores the received information in a database and uses artificial intelligence to analyze the user's preferences. Based on the analysis results, it selects the most suitable partner candidates. Furthermore, an emotion engine estimates the user's emotional state from their input, optimizing the selection process.

[0137] Step 3:

[0138] The server sends a list of potential partners selected by the user to the device and displays it. The user reviews the list of candidates through the device and selects the candidates they are interested in.

[0139] Step 4:

[0140] The server, having received the selection information from the terminal, notifies the AI ​​agent of the selected candidate to begin negotiations. At this time, the server uses an emotion engine to check the user's emotional tendencies and adjust the progress of the negotiations accordingly.

[0141] Step 5:

[0142] The server confirms the interests and values ​​of the user and candidate through negotiation, and proceeds to the next step if the negotiation is successful. If there are changes in emotions during the negotiation process, the emotion engine analyzes them and takes appropriate action accordingly.

[0143] Step 6:

[0144] The server uses scheduling tools based on both parties' schedules to set the optimal date and time for the online meeting. The emotion engine considers emotional information and selects the most appropriate timing.

[0145] Step 7:

[0146] The server notifies both parties of the meeting information it has set. Users check the notification on their devices and adjust their schedules based on the information.

[0147] Step 8:

[0148] After the meeting ends, the server receives feedback from the user and suggests date plans and future dates. If the user declines to pursue a relationship with a candidate, they inform the server from their device, and the server uses an emotion engine to generate and send an appropriate rejection message.

[0149] (Example 2)

[0150] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0151] In modern society, users need to efficiently find suitable partners, reduce emotional burden, and manage their schedules through automated processes when engaging in matchmaking. However, existing systems have problems in that they struggle to select, negotiate, and adjust based on the detailed preferences and feelings of users. As a result, users often spend a lot of time and effort and experience stress. This invention aims to solve these problems.

[0152] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0153] In this invention, the server includes information processing means for selecting a partner based on the user's preferences, communication control means for automating the dialogue between the candidate and the user, schedule management means for adjusting the schedule after a successful dialogue, and emotion analysis means for analyzing the user's emotions and setting the optimal dialogue and schedule. This enables the user to proceed with their marriage search efficiently and smoothly.

[0154] "User" refers to an individual who uses the system to find a romantic partner.

[0155] "Preferences" refers to information that describes the conditions and characteristics of the ideal partner that the user desires.

[0156] A "romantic partner" refers to a person a user might potentially meet through the system.

[0157] "Information processing means" refers to a function that automatically selects the most suitable partner based on the user's information and preferences.

[0158] "Communication control means" refers to a means for automatically conducting conversations with a selected partner.

[0159] "Schedule management means" refers to a function that allows users and their partners to coordinate meeting dates.

[0160] "Emotional analysis tools" refer to methods for analyzing a user's emotions and providing optimal dialogue methods and suggestions.

[0161] "Message generation means" refers to a means of automatically generating a message with appropriate content when a user wishes to terminate a relationship.

[0162] This invention utilizes a server, terminals, artificial intelligence technology, and an emotion analysis engine to build a system that efficiently supports users in their search for a marriage partner. Specifically, the server manages a database and uses an AI model to select the most suitable dating candidates from the user's input information. The server further manages automated conversations with candidates using communication control means and adjusts appropriate meeting dates and times using scheduling means. In addition, the server utilizes the emotion analysis engine to analyze the user's emotional state and optimize the selection and conversation content.

[0163] The terminal functions as an interface with the user, who inputs basic information and ideal partner criteria through the terminal. The terminal immediately sends the entered information to the server, and the information from the server (e.g., candidate list, messages, etc.) is displayed to the user.

[0164] As a concrete example, a user might input criteria into the system such as, "I'm looking for someone who enjoys reading and has a gentle personality." Based on this information, the server would input a prompt message to the AI ​​model saying, "I'm looking for a partner in their 20s who enjoys reading and has a gentle personality. Please suggest candidates based on this, and proceed with negotiations while considering the user's feelings." The system would then select appropriate candidates. This increases the likelihood that the user will smoothly find someone who closely matches their ideal partner.

[0165] This system combines servers with extensive database processing capabilities, terminals with user-friendly interfaces, and AI technology with advanced analytical capabilities to achieve highly automated matchmaking support.

[0166] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0167] Step 1:

[0168] The user enters basic information and ideal partner criteria via a terminal. The terminal sends this information to the server as input data. The input includes name, age, hobbies, occupation, and ideal personality. The terminal performs the specific action of structuring the entered data and sending it to the server. The output is the user data received by the server.

[0169] Step 2:

[0170] The server stores the received user data in a database. A database management system is used to process the received data and store it in an appropriate format. The data is stored by generating SQL statements, and the output reflects the update status within the database.

[0171] Step 3:

[0172] The server uses a generative AI model to select the most suitable dating partners from the user information in the database. During this process, conditions are input to the AI ​​model as prompts, and data calculations are performed to obtain the analysis results. The output is a list of the selected candidates.

[0173] Step 4:

[0174] The server sends a list of selected candidates to the terminal. The terminal receives this data and displays it to the user. During display, it organizes and presents the list via a user interface (UI) to make it easy for the user to review. The output is a list of candidates that the user can review.

[0175] Step 5:

[0176] The user selects candidates of interest on their device. The selected data is sent back to the server via the device. The output is data containing the user's selection information.

[0177] Step 6:

[0178] Based on the selected information, the server initiates a dialogue with the candidate's AI agent via a communication control mechanism. Specifically, the server exchanges messages with the AI ​​agent using the appropriate protocol and adjusts the content of the dialogue. The output is the progress and result of the dialogue.

[0179] Step 7:

[0180] If negotiations are successful, the server uses scheduling tools to coordinate the user's and candidate's schedules and propose the best possible date. It performs data calculations to verify compatibility with the candidate's schedule and generates appropriate proposals. The output is a detailed description of the proposed date.

[0181] (Application Example 2)

[0182] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0183] Traditional matchmaking systems sometimes fail to rationally facilitate matching and negotiations between users and potential partners, and they also lack sufficient optimization to address the emotional burden on users. Furthermore, a lack of consideration during negotiations or when a relationship is declined can cause users to experience emotional stress. There is a need to improve these systems and realize a more efficient matchmaking process that reduces emotional burden.

[0184] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0185] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating negotiations between the selected partners and the user, and an emotion analysis means for analyzing the user's psychological state during negotiations and performing emotion-based optimization. This enables efficient and considerate matching and relationship progression while taking into account the user's emotional state during the candidate selection and negotiation process.

[0186] "Computational means" refers to a device or system that executes algorithms or processes for identifying and selecting potential romantic partners based on the user's preferences.

[0187] "Processing means" refers to a device or software that has the function of automatically facilitating negotiations between the selected potential dating partners and the user.

[0188] "Emotional analysis means" refers to a device or program that includes technical elements for analyzing the user's psychological state and optimizing negotiations and matching based on the results.

[0189] A "coordination tool" is a device or system that has the function of coordinating the schedules of both parties and setting up meetings after negotiations have been successful.

[0190] "Generating means" refers to a program or device capable of automatically generating and transmitting a polite message when declining a relationship with a candidate.

[0191] A system implementing this invention comprises a server, a terminal, a consumer robot, artificial intelligence, and an emotion analysis engine.

[0192] The server receives basic information and ideal partner criteria entered by the user using a terminal or consumer robot, and stores it in a database. The user's data is analyzed by artificial intelligence software to select the most suitable partner candidates. The AI ​​uses a generative AI model that can respond sensitively to the user's intentions and emotions through prompt messages.

[0193] Next, once a candidate is selected, the server uses an emotion analysis engine to analyze the user's emotions and optimize the negotiation based on the results. The emotion analysis engine processes user feedback and response information in real time and adjusts the progress of the negotiation to be emotionally appropriate.

[0194] The terminal and consumer robots present the user with a list of selected candidates, from which the user can choose candidates they are interested in. Based on the selected information, the server automatically initiates negotiations with the candidates and responds in an emotion-based manner.

[0195] Furthermore, if negotiations are successful, the server coordinates schedules for both parties and sets up meetings or dates at appropriate times. During this process, the emotion analysis engine makes suggestions based on the user's current emotional information, ensuring the most suitable timing. This provides users with a less stressful and more pleasant matchmaking experience.

[0196] For example, on a holiday evening, a robot at the user's home reports the results of an analysis using artificial intelligence, saying, "Your emotions are stable today, so I'll suggest some date candidates." If the user shows interest in a candidate, the robot arranges a video call date online at an appropriate time.

[0197] An example of a prompt message is: "The user has shown interest in a candidate recommended based on their emotions. What action would you suggest they take next?"

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The server receives basic information and ideal partner criteria entered by the user via a terminal or consumer robot. This input includes user profile information and desired conditions. The server processes this data, storing it in a database and outputting the user information in a structured format.

[0201] Step 2:

[0202] The server uses artificial intelligence to analyze stored user information. The input data includes user preferences and criteria, and the generating AI model processes this information to create a list of potential romantic partners. This result is output as a candidate list.

[0203] Step 3:

[0204] The server uses an emotion analysis engine to evaluate the user's emotional state for the generated list of potential partners. Input includes the user's responses and past history, and through analysis, it selects partners that best match the user's emotional state and outputs optimized matching results.

[0205] Step 4:

[0206] The terminal or consumer robot presents the user with a list of candidates. The user selects candidates of interest from this list, and the selection results are sent as input to the server.

[0207] Step 5:

[0208] The server initiates automated negotiations based on the candidate information selected by the user. The input includes information on the selected candidate, and the server uses processing tools to advance the negotiation process. The server then outputs the negotiation progress and results.

[0209] Step 6:

[0210] If negotiations are successful, the server calculates the schedules of both parties and adjusts the date and time of the meeting or gathering. The input is each user's schedule information, and the server performs adjustment calculations to output the meeting date.

[0211] Step 7:

[0212] If a user indicates their intention to decline a relationship, the server uses a sentiment analysis engine to generate and send a polite refusal message to the candidate. The input is the user's intention and emotional state, and the server outputs a polite message based on this.

[0213] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0214] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0215] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0216] [Second Embodiment]

[0217] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0218] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0219] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0220] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0221] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0222] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0223] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0224] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0225] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0226] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0227] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0228] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0229] This invention is a system for providing users with an efficient and low-burden matchmaking service. This system utilizes servers, terminals, and artificial intelligence to support the user's process of finding a partner.

[0230] The user first enters basic information and desired criteria for their ideal partner via their device. This information is sent to and stored on the server. The user's information is analyzed by the server's artificial intelligence to select potential partners that the user is likely to like.

[0231] A list of selected candidates is displayed on the terminal for the user to review. By selecting a candidate of interest, the server communicates the user's intentions to the AI ​​agent on the other side. The server automatically begins negotiations with the candidate, confirming common interests, hobbies, and basic values.

[0232] If negotiations are successful, the server will match the user's and candidate's schedules, find a suitable date and time, and set up a meeting. Information about the scheduled meeting will be sent to both parties' devices.

[0233] After the meeting is successfully completed, the server receives user feedback and then suggests and schedules the next date. If the user wishes to decline a potential partner, they notify the server from their device, and the server uses AI to generate a polite refusal message and send it appropriately.

[0234] For example, if a female user in her 30s desires an ideal partner who is a man in his late 30s who enjoys the outdoors, the server will provide a list of men who meet that criteria. If the user becomes interested in one of them and the server successfully negotiates, the server will schedule an online meeting through a schedule check and notify the user. In this way, users are provided with an efficient opportunity to meet a partner.

[0235] The following describes the processing flow.

[0236] Step 1:

[0237] The user uses their device to enter basic information and ideal partner criteria, completing the service registration. The device then sends this information to the server.

[0238] Step 2:

[0239] The server stores the received information in a database and analyzes it using artificial intelligence based on the user's preferences and past behavioral history. Based on the analysis results, it selects potential romantic partners who are a good match for the user.

[0240] Step 3:

[0241] The server sends a list of selected candidates to the user's device and presents it to them. The user reviews the list of candidates through their device and selects candidates they are interested in.

[0242] Step 4:

[0243] The selection information is sent from the terminal to the server, which communicates the intention to negotiate to the AI ​​agent of the selected candidate. The server then automatically interacts with the candidate using negotiation tools.

[0244] Step 5:

[0245] If the server succeeds in negotiations, it will use scheduling tools based on the user's and candidate's schedule information to set the most suitable date and time for an online meeting.

[0246] Step 6:

[0247] The server notifies both terminals of the meeting information it has set, allowing users to check the schedule. Users provide feedback to the server via their terminals as needed.

[0248] Step 7:

[0249] After the meeting ends, the server receives feedback from the user and offers further date suggestions. If the user wishes to decline a potential partner, they notify the server of their decision via their device, and the server creates and sends a rejection message using a message generation tool.

[0250] (Example 1)

[0251] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0252] In today's world, efficiently and satisfactorily finding and selecting a romantic partner is a significant burden for users. Furthermore, there is a demand for automated negotiation between users and candidates, and smoother scheduling, but conventional systems fail to adequately address these needs. Therefore, a new system is needed that allows users to easily find their ideal partner who meets their desired criteria.

[0253] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0254] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating conversations between the selected partners, and a scheduling management means for coordinating schedules and setting up meetings. This allows the user to efficiently select and negotiate with potential partners and smoothly coordinate schedules.

[0255] A "user" is an individual who uses the system with the purpose of finding a romantic partner.

[0256] A "potential partner" is a potential romantic partner who may be recommended based on the user's preferences and criteria.

[0257] "Calculation means" refers to components used to calculate the most suitable dating candidates based on information provided by the user.

[0258] "Processing means" refers to components that automatically conduct conversations and negotiations between selected potential partners and the user.

[0259] "Schedule management tools" are components used to coordinate the schedules of the user and potential partners and to set up meetings after negotiations have been successful.

[0260] A "text generation means" is a component that automatically creates a polite message when declining a potential partner.

[0261] This invention is a system for streamlining the search and negotiation process for dating partners, using a server, terminals, and artificial intelligence to assist users in finding their ideal partner. The following describes how to implement the system in detail.

[0262] This system begins with the user using a device to enter their basic information and the criteria for their ideal partner. The device is expected to be a smartphone or a personal computer. Once the user fills out and submits the form using the application on their device, this information is sent to the server.

[0263] The server stores the received information in an internal database. The database systems used for this include industry-standard MySQL and MongoDB. Next, the server analyzes the user information using machine learning algorithms. Software libraries such as Scikit-learn and TensorFlow are expected to be used for this analysis. The purpose of the analysis is to select the most suitable dating candidates based on the user's preferences.

[0264] The selected dating candidates are sent as a list to the terminal by the server and presented to the user. The user can review this list and select candidates they are interested in. The user's selections are sent to the server, which then automatically conducts conversations and negotiations with the selected dating candidates. Natural language processing technology is used for negotiations, with options including NLTK and spaCy.

[0265] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up the actual meeting. This provides the user with a smooth opportunity to meet.

[0266] For example, if a female user in her 30s expresses a preference for a male in his 30s who enjoys sports, the server generates a list of suitable male candidates. It then sets up and notifies the user of any candidates they are interested in for an initial online meeting. This entire process allows users to efficiently and effectively find a partner.

[0267] Finally, this system utilizes prompts to power the AI ​​model. An example of a prompt might be, "I'm a woman in my 30s looking for a man my age who likes sports." Based on this, the AI ​​model generates a list of suitable candidates.

[0268] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0269] Step 1:

[0270] The user uses their device to enter their basic information and ideal partner criteria.

[0271] In terms of the specific operation, the user opens the application on their device, enters their name, age, occupation, hobbies, ideal partner profile, etc., and presses the submit button. This information is the input data, and JSON data is generated as output, which is sent to the server.

[0272] Step 2:

[0273] Data from the terminal is sent to the server, which then stores it in a database.

[0274] In terms of specific operation, JSON data sent from the terminal reaches the server via the network. The server receives this data and stores the information in a database such as MySQL or MongoDB. The input is the JSON data sent from the terminal, and the output is the record stored in the database.

[0275] Step 3:

[0276] The server performs analysis using the stored user information and selects potential candidates for dating.

[0277] As a specific operation, the server executes a machine learning model for selecting potential candidates for dating that match the user's conditions, using libraries such as Scikit-learn and TensorFlow. The input for the analysis is the user information in the database, and the output is a list of potential candidates for dating.

[0278] Step 4:

[0279] The server sends the list of potential candidates for dating selected by the server to the terminal and presents it to the user.

[0280] As a specific operation, the server sends the list of potential candidates for dating to the terminal in JSON format. The terminal receives this and displays it as the profile of the selected candidates in the GUI. The input is the list of potential candidates for dating from the server, and the output is the profile screen visible to the user.

[0281] Step 5:

[0282] The user selects a candidate they are interested in, and the information is sent to the server.

[0283] As a specific operation, the user clicks on a candidate on the terminal screen to select them and then clicks the "Select" button. The selected information is sent from the terminal to the server. The input is the candidate data selected by the user, and the output is the selection information communicated to the server.

[0284] Step 6:

[0285] The server automates conversations and negotiations with the selected candidate.

[0286] As a specific operation, the server uses Natural Language Processing (NLP) technology to automatically generate a conversation scenario based on the interests and concerns between the user and the candidate. The input for this activity is the user's selection information and the candidate profile, and the output is the generated conversation content.

[0287] Step 7:

[0288] If the negotiation is successful, the server adjusts the schedules of the user and the candidate and sets up a meeting.

[0289] As a specific operation, the server checks the calendars of both parties, determines the meeting date and time, and notifies both parties' terminals. The input is the calendar information of both parties, and the output is the notification information of the set meeting.

[0290] Step 8:

[0291] After the meeting, the server receives the user's feedback and generates the next proposal.

[0292] As a specific operation, the user inputs feedback through the terminal and sends it to the server. The server analyzes this information, generates the next date plan, and proposes it to the terminal. The input is the user feedback, and the output is the next date proposal.

[0293] (Application Example 1)

[0294] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0295] Modern matchmaking services require a lot of time and effort from users and are hardly efficient. Also, in the process of users finding their ideal partners, the procedures of selection, negotiation, and schedule adjustment are complex, and it is necessary to improve the overall user experience. Furthermore, the issue is that the environment for easily using these services in daily life is not yet complete.

[0296] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0297] In this invention, the server includes information processing means for selecting potential partners based on the user's preferences, negotiation means for automating negotiations with the selected partners, time management means for coordinating schedules and setting up meetings if negotiations are successful, input means for acquiring the user's intentions through voice recognition using a home device, and presentation means for notifying the user of candidate suggestions via voice and video using a generating AI. This makes it possible for users to efficiently find their ideal partner in their daily lives.

[0298] "Information processing means" refers to technology that has the function of selecting suitable partner candidates from a vast amount of data based on the user's preferences and conditions.

[0299] "Negotiation tools" refer to technologies that automatically negotiate with selected potential partners and implement a process to reach an agreement.

[0300] "Time management techniques" refer to scheduling skills used to coordinate the schedules of both parties after negotiations have been successful and to actually set up meetings or appointments.

[0301] "Communication method" refers to a technology that automatically generates and sends a polite message when a user declines a romantic relationship.

[0302] "Input method" refers to technology that uses voice recognition functionality through home-use devices to receive instructions and intentions from users.

[0303] "Presentation method" refers to a technology that utilizes generative AI to provide users with candidate suggestions through audio or visual means.

[0304] The system for realizing this invention is designed in a form that first integrates an information processing means, a negotiation means, a time management means, a communication means, an input means, and a presentation means, with the server operating on a cloud platform. In the information processing means, the server selects candidates for suitable communication partners from a database based on the preferences and conditions input by the user. For this, Python's pandas and NumPy are used as software libraries enabling data analysis.

[0305] On the user terminal, home appliances are responsible for speech recognition and natural language processing. For example, the speech recognition functions of Google Assistant or Amazon Alexa are implemented to accept input via voice commands. As the presentation means, introductions and proposals of candidates using a generative AI model are made from a display or a speaker. The generative AI model applies OpenAI's GPT. By leveraging prompt sentences, optimal candidate information is provided to the user.

[0306] The server uses the negotiation means to communicate with the automatically selected candidates, and after successful negotiation, uses the time management means to make full use of a scheduling tool such as the Google Calendar API to set the schedule for meetings or encounters. During this time, when the user rejects communication, an appropriate message is automatically generated by the communication means and sent to the candidate.

[0307] As a specific example, when the user requests the home robot in the morning, "Find a partner in their 30s who likes nature", the robot cooperates with the server and lists up candidates meeting the conditions. Then, it can propose a schedule to be able to meet at an appropriate date and time. An example of a prompt sentence for the generative AI model is in the form of "Please generate a list of profiles of men in their late 30s who like the outdoors. List three characteristics of people who meet the ideal conditions."

[0308] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0309] Step 1:

[0310] The user inputs their criteria for a partner via voice through a home robot. The input voice data is converted into text data by the device's voice recognition system (e.g., Google Assistant). The textual preferences and criteria are sent to a server to prepare for the next step.

[0311] Step 2:

[0312] The server uses the received text data to search the database for candidates that match the user's criteria using information processing tools. In this process, data analysis libraries (such as pandas or NumPy) are used to generate a list of candidates that meet the criteria. The resulting candidate list is stored on the server, preparing for the next necessary processing.

[0313] Step 3:

[0314] The server uses a generative AI model to generate suggestions based on the candidate list. Specifically, it utilizes OpenAI's GPT and, given a prompt (e.g., "Generate a profile for a 30-something man who enjoys the outdoors"), generates content that presents the candidate's characteristics and appeal to the user. This generated content is then sent to the terminal via a presentation device.

[0315] Step 4:

[0316] The terminal uses a presentation mechanism to display generated candidate suggestions to the user via voice or display. Based on the presented information, the user selects candidates they are interested in. The selected information is then sent back to the server.

[0317] Step 5:

[0318] The server uses negotiation tools with the selected candidate and initiates automated negotiations with the candidate's system. Two-way information exchange takes place using an API, and communication is conducted to reach an agreement. If an agreement is reached, the result is stored on the server.

[0319] Step 6:

[0320] If negotiations are successful, the server uses time management tools to adjust the schedule. Using the Google Calendar API, it finds a date and time preferred by both the user and the candidate and sets up the meeting. This information is then notified to the device via the transmission channel.

[0321] Step 7:

[0322] Users review and utilize the set schedule. If necessary, messages are automatically generated and sent to candidates via communication channels. For example, if a user declines a meeting, a polite message is generated and appropriately sent to the candidate.

[0323] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0324] This invention provides a system that enables users to engage in matchmaking activities efficiently and with reduced emotional burden. This system includes a server, terminals, artificial intelligence, and an emotion engine.

[0325] First, the user enters basic information and ideal partner criteria using a terminal and registers it in the system. This sends the user's information to the server and stores it in a database. The server then uses artificial intelligence to analyze the stored information and select potential partners who match the user. Furthermore, an emotion engine recognizes emotions from the user's input data to optimize candidate selection.

[0326] The selected list of candidates is sent to the terminal, where the user can review it and select candidates they are interested in. Based on the selected information, the server initiates negotiations with the candidates' AI agents using negotiation tools. During this process, the emotion engine analyzes the user's emotions and optimizes the content and progress of the negotiations.

[0327] If negotiations are successful, the server uses scheduling tools based on the user's and candidate's schedules to set the optimal date and time for a meeting or date. The emotion engine uses the user's emotional information to suggest a suitable time for the meeting or date.

[0328] After the meeting is successfully completed, the server receives feedback from the user and makes further date suggestions and scheduling adjustments. If the user wishes to decline a relationship with a candidate, they notify the server of their decision from their device, and the server uses an emotion engine to generate a polite and considerate rejection message and send it to the other party.

[0329] For example, if a user expresses feelings suggesting anxiety or loss of interest during negotiations, the emotion engine detects this, and the server adjusts the negotiation content, taking into account the user's and the other party's reactions. As a result, the user can make a decision about the relationship in a more relaxed state.

[0330] The following describes the processing flow.

[0331] Step 1:

[0332] Users access the service using their devices, enter their profile information and ideal partner criteria, and register. This registration information is then sent from the device to the server.

[0333] Step 2:

[0334] The server stores the received information in a database and uses artificial intelligence to analyze the user's preferences. Based on the analysis results, it selects the most suitable partner candidates. Furthermore, an emotion engine estimates the user's emotional state from their input, optimizing the selection process.

[0335] Step 3:

[0336] The server sends a list of potential partners selected by the user to the device and displays it. The user reviews the list of candidates through the device and selects the candidates they are interested in.

[0337] Step 4:

[0338] The server, having received the selection information from the terminal, notifies the AI ​​agent of the selected candidate to begin negotiations. At this time, the server uses an emotion engine to check the user's emotional tendencies and adjust the progress of the negotiations accordingly.

[0339] Step 5:

[0340] The server confirms the interests and values ​​of the user and candidate through negotiation, and proceeds to the next step if the negotiation is successful. If there are changes in emotions during the negotiation process, the emotion engine analyzes them and takes appropriate action accordingly.

[0341] Step 6:

[0342] The server uses scheduling tools based on both parties' schedules to set the optimal date and time for the online meeting. The emotion engine considers emotional information and selects the most appropriate timing.

[0343] Step 7:

[0344] The server notifies both parties of the meeting information it has set. Users check the notification on their devices and adjust their schedules based on the information.

[0345] Step 8:

[0346] After the meeting ends, the server receives feedback from the user and suggests date plans and future dates. If the user declines to pursue a relationship with a candidate, they inform the server from their device, and the server uses an emotion engine to generate and send an appropriate rejection message.

[0347] (Example 2)

[0348] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0349] In modern society, users need to efficiently find suitable partners, reduce emotional burden, and manage their schedules through automated processes when engaging in matchmaking. However, existing systems have problems in that they struggle to select, negotiate, and adjust based on the detailed preferences and feelings of users. As a result, users often spend a lot of time and effort and experience stress. This invention aims to solve these problems.

[0350] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0351] In this invention, the server includes information processing means for selecting a partner based on the user's preferences, communication control means for automating the dialogue between the candidate and the user, schedule management means for adjusting the schedule after a successful dialogue, and emotion analysis means for analyzing the user's emotions and setting the optimal dialogue and schedule. This enables the user to proceed with their marriage search efficiently and smoothly.

[0352] "User" refers to an individual who uses the system to find a romantic partner.

[0353] "Preferences" refers to information that describes the conditions and characteristics of the ideal partner that the user desires.

[0354] A "romantic partner" refers to a person a user might potentially meet through the system.

[0355] "Information processing means" refers to a function that automatically selects the most suitable partner based on the user's information and preferences.

[0356] "Communication control means" refers to a means for automatically conducting conversations with a selected partner.

[0357] "Schedule management means" refers to a function that allows users and their partners to coordinate meeting dates.

[0358] "Emotional analysis tools" refer to methods for analyzing a user's emotions and providing optimal dialogue methods and suggestions.

[0359] "Message generation means" refers to a means of automatically generating a message with appropriate content when a user wishes to terminate a relationship.

[0360] This invention utilizes a server, terminals, artificial intelligence technology, and an emotion analysis engine to build a system that efficiently supports users in their search for a marriage partner. Specifically, the server manages a database and uses an AI model to select the most suitable dating candidates from the user's input information. The server further manages automated conversations with candidates using communication control means and adjusts appropriate meeting dates and times using scheduling means. In addition, the server utilizes the emotion analysis engine to analyze the user's emotional state and optimize the selection and conversation content.

[0361] The terminal functions as an interface with the user, who inputs basic information and ideal partner criteria through the terminal. The terminal immediately sends the entered information to the server, and the information from the server (e.g., candidate list, messages, etc.) is displayed to the user.

[0362] As a concrete example, a user might input criteria into the system such as, "I'm looking for someone who enjoys reading and has a gentle personality." Based on this information, the server would input a prompt message to the AI ​​model saying, "I'm looking for a partner in their 20s who enjoys reading and has a gentle personality. Please suggest candidates based on this, and proceed with negotiations while considering the user's feelings." The system would then select appropriate candidates. This increases the likelihood that the user will smoothly find someone who closely matches their ideal partner.

[0363] This system combines servers with extensive database processing capabilities, terminals with user-friendly interfaces, and AI technology with advanced analytical capabilities to achieve highly automated matchmaking support.

[0364] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0365] Step 1:

[0366] The user enters basic information and ideal partner criteria via a terminal. The terminal sends this information to the server as input data. The input includes name, age, hobbies, occupation, and ideal personality. The terminal performs the specific action of structuring the entered data and sending it to the server. The output is the user data received by the server.

[0367] Step 2:

[0368] The server stores the received user data in a database. A database management system is used to process the received data and store it in an appropriate format. The data is stored by generating SQL statements, and the output reflects the update status within the database.

[0369] Step 3:

[0370] The server uses a generative AI model to select the most suitable dating partners from the user information in the database. During this process, conditions are input to the AI ​​model as prompts, and data calculations are performed to obtain the analysis results. The output is a list of the selected candidates.

[0371] Step 4:

[0372] The server sends a list of selected candidates to the terminal. The terminal receives this data and displays it to the user. During display, it organizes and presents the list via a user interface (UI) to make it easy for the user to review. The output is a list of candidates that the user can review.

[0373] Step 5:

[0374] The user selects candidates of interest on their device. The selected data is sent back to the server via the device. The output is data containing the user's selection information.

[0375] Step 6:

[0376] Based on the selected information, the server initiates a dialogue with the candidate's AI agent via a communication control mechanism. Specifically, the server exchanges messages with the AI ​​agent using the appropriate protocol and adjusts the content of the dialogue. The output is the progress and result of the dialogue.

[0377] Step 7:

[0378] If negotiations are successful, the server uses scheduling tools to coordinate the user's and candidate's schedules and propose the best possible date. It performs data calculations to verify compatibility with the candidate's schedule and generates appropriate suggestions. The output is a detailed description of the proposed date.

[0379] (Application Example 2)

[0380] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0381] Traditional matchmaking systems sometimes fail to rationally facilitate matching and negotiations between users and potential partners, and they also lack sufficient optimization to address the emotional burden on users. Furthermore, a lack of consideration during negotiations or when a relationship is declined can cause users to experience emotional stress. There is a need to improve these systems and realize a more efficient matchmaking process that reduces emotional burden.

[0382] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0383] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating negotiations between the selected partners and the user, and an emotion analysis means for analyzing the user's psychological state during negotiations and performing emotion-based optimization. This enables efficient and considerate matching and relationship progression while taking into account the user's emotional state during the candidate selection and negotiation process.

[0384] "Computational means" refers to a device or system that executes algorithms or processes for identifying and selecting potential romantic partners based on the user's preferences.

[0385] "Processing means" refers to a device or software that has the function of automatically facilitating negotiations between the selected potential dating partners and the user.

[0386] "Emotional analysis means" refers to a device or program that includes technical elements for analyzing the user's psychological state and optimizing negotiations and matching based on the results.

[0387] A "coordination tool" is a device or system that has the function of coordinating the schedules of both parties and setting up meetings after negotiations have been successful.

[0388] "Generating means" refers to a program or device capable of automatically generating and transmitting a polite message when declining a relationship with a candidate.

[0389] A system implementing this invention comprises a server, a terminal, a consumer robot, artificial intelligence, and an emotion analysis engine.

[0390] The server receives basic information and ideal partner criteria entered by the user using a terminal or consumer robot, and stores it in a database. The user's data is analyzed by artificial intelligence software to select the most suitable partner candidates. The AI ​​uses a generative AI model that can respond sensitively to the user's intentions and emotions through prompt messages.

[0391] Next, once a candidate is selected, the server uses an emotion analysis engine to analyze the user's emotions and optimize the negotiation based on the results. The emotion analysis engine processes user feedback and response information in real time and adjusts the progress of the negotiation to be emotionally appropriate.

[0392] The terminal and consumer robots present the user with a list of selected candidates, from which the user can choose candidates they are interested in. Based on the selected information, the server automatically initiates negotiations with the candidates and responds in an emotion-based manner.

[0393] Furthermore, if negotiations are successful, the server coordinates schedules for both parties and sets up meetings or dates at appropriate times. During this process, the emotion analysis engine makes suggestions based on the user's current emotional information, ensuring the most suitable timing. This provides users with a less stressful and more pleasant matchmaking experience.

[0394] For example, on a holiday evening, a robot at the user's home reports the results of an analysis using artificial intelligence, saying, "Your emotions are stable today, so I'll suggest some date candidates." If the user shows interest in a candidate, the robot arranges a video call date online at an appropriate time.

[0395] An example of a prompt message is: "The user has shown interest in a candidate recommended based on their emotions. What action would you suggest they take next?"

[0396] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0397] Step 1:

[0398] The server receives basic information and ideal partner criteria entered by the user via a terminal or consumer robot. This input includes user profile information and desired conditions. The server processes this data, storing it in a database and outputting the user information in a structured format.

[0399] Step 2:

[0400] The server uses artificial intelligence to analyze stored user information. The input data includes user preferences and criteria, and the generating AI model processes this information to create a list of potential romantic partners. This result is output as a candidate list.

[0401] Step 3:

[0402] The server uses an emotion analysis engine to evaluate the user's emotional state for the generated list of potential partners. Input includes the user's responses and past history, and through analysis, it selects partners that best match the user's emotional state and outputs optimized matching results.

[0403] Step 4:

[0404] The terminal or consumer robot presents the user with a list of candidates. The user selects candidates of interest from this list, and the selection results are sent as input to the server.

[0405] Step 5:

[0406] The server initiates automated negotiations based on the candidate information selected by the user. The input includes information on the selected candidate, and the server uses processing tools to advance the negotiation process. The server then outputs the negotiation progress and results.

[0407] Step 6:

[0408] If negotiations are successful, the server calculates the schedules of both parties and adjusts the date and time of the meeting or gathering. The input is each user's schedule information, and the server performs adjustment calculations to output the meeting date.

[0409] Step 7:

[0410] If a user indicates their intention to decline a relationship, the server uses a sentiment analysis engine to generate and send a polite refusal message to the candidate. The input is the user's intention and emotional state, and the server outputs a polite message based on this.

[0411] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0412] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0413] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0414] [Third Embodiment]

[0415] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0416] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0417] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0418] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0419] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0420] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0421] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0422] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0423] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0424] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0425] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0426] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0427] This invention is a system for providing users with an efficient and low-burden matchmaking service. This system utilizes servers, terminals, and artificial intelligence to support the user's process of finding a partner.

[0428] The user first enters basic information and desired criteria for their ideal partner via their device. This information is sent to and stored on the server. The user's information is analyzed by the server's artificial intelligence to select potential partners that the user is likely to like.

[0429] A list of selected candidates is displayed on the terminal for the user to review. By selecting a candidate of interest, the server communicates the user's intentions to the AI ​​agent on the other side. The server automatically begins negotiations with the candidate, confirming common interests, hobbies, and basic values.

[0430] If negotiations are successful, the server will match the user's and candidate's schedules, find a suitable date and time, and set up a meeting. Information about the scheduled meeting will be sent to both parties' devices.

[0431] After the meeting is successfully completed, the server receives user feedback and then suggests and schedules the next date. If the user wishes to decline a potential partner, they notify the server from their device, and the server uses AI to generate a polite refusal message and send it appropriately.

[0432] For example, if a female user in her 30s desires an ideal partner who is a man in his late 30s who enjoys the outdoors, the server will provide a list of men who meet that criteria. If the user becomes interested in one of them and the server successfully negotiates, the server will schedule an online meeting through a schedule check and notify the user. In this way, users are provided with an efficient opportunity to meet a partner.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] The user uses their device to enter basic information and ideal partner criteria, completing the service registration. The device then sends this information to the server.

[0436] Step 2:

[0437] The server stores the received information in a database and analyzes it using artificial intelligence based on the user's preferences and past behavioral history. Based on the analysis results, it selects potential romantic partners who are a good match for the user.

[0438] Step 3:

[0439] The server sends a list of selected candidates to the user's device and presents it to them. The user reviews the list of candidates through their device and selects candidates they are interested in.

[0440] Step 4:

[0441] The selection information is sent from the terminal to the server, which communicates the intention to negotiate to the AI ​​agent of the selected candidate. The server then automatically interacts with the candidate using negotiation tools.

[0442] Step 5:

[0443] If the server succeeds in negotiations, it will use scheduling tools based on the user's and candidate's schedule information to set the most suitable date and time for an online meeting.

[0444] Step 6:

[0445] The server notifies both terminals of the meeting information it has set, allowing users to check the schedule. Users provide feedback to the server via their terminals as needed.

[0446] Step 7:

[0447] After the meeting ends, the server receives feedback from the user and offers further date suggestions. If the user wishes to decline a potential partner, they notify the server of their decision via their device, and the server creates and sends a rejection message using a message generation tool.

[0448] (Example 1)

[0449] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0450] In today's world, efficiently and satisfactorily finding and selecting a romantic partner is a significant burden for users. Furthermore, there is a demand for automated negotiation between users and candidates, and smoother scheduling, but conventional systems fail to adequately address these needs. Therefore, a new system is needed that allows users to easily find their ideal partner who meets their desired criteria.

[0451] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0452] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating conversations between the selected partners, and a scheduling management means for coordinating schedules and setting up meetings. This allows the user to efficiently select and negotiate with potential partners and smoothly coordinate schedules.

[0453] A "user" is an individual who uses the system with the purpose of finding a romantic partner.

[0454] A "potential partner" is a potential romantic partner who may be recommended based on the user's preferences and criteria.

[0455] "Calculation means" refers to components used to calculate the most suitable dating candidates based on information provided by the user.

[0456] "Processing means" refers to components that automatically conduct conversations and negotiations between selected potential partners and the user.

[0457] "Schedule management tools" are components used to coordinate the schedules of the user and potential partners and to set up meetings after negotiations have been successful.

[0458] A "text generation means" is a component that automatically creates a polite message when declining a potential partner.

[0459] This invention is a system for streamlining the search and negotiation process for dating partners, using a server, terminals, and artificial intelligence to assist users in finding their ideal partner. The following describes how to implement the system in detail.

[0460] This system begins with the user using a device to enter their basic information and the criteria for their ideal partner. The device is expected to be a smartphone or a personal computer. Once the user fills out and submits the form using the application on their device, this information is sent to the server.

[0461] The server stores the received information in an internal database. The database systems used for this include industry-standard MySQL and MongoDB. Next, the server analyzes the user information using machine learning algorithms. Software libraries such as Scikit-learn and TensorFlow are expected to be used for this analysis. The purpose of the analysis is to select the most suitable dating candidates based on the user's preferences.

[0462] The selected dating candidates are sent as a list to the terminal by the server and presented to the user. The user can review this list and select candidates they are interested in. The user's selections are sent to the server, which then automatically conducts conversations and negotiations with the selected dating candidates. Natural language processing technology is used for negotiations, with options including NLTK and spaCy.

[0463] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up the actual meeting. This provides the user with a smooth opportunity to meet.

[0464] For example, if a female user in her 30s expresses a preference for a male in his 30s who enjoys sports, the server generates a list of suitable male candidates. It then sets up and notifies the user of any candidates they are interested in for an initial online meeting. This entire process allows users to efficiently and effectively find a partner.

[0465] Finally, this system utilizes prompts to power the AI ​​model. An example of a prompt might be, "I'm a woman in my 30s looking for a man my age who likes sports." Based on this, the AI ​​model generates a list of suitable candidates.

[0466] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0467] Step 1:

[0468] The user uses their device to enter their basic information and ideal partner criteria.

[0469] In terms of the specific operation, the user opens the application on their device, enters their name, age, occupation, hobbies, ideal partner profile, etc., and presses the submit button. This information is the input data, and JSON data is generated as output, which is sent to the server.

[0470] Step 2:

[0471] Data from the terminal is sent to the server, which then stores it in a database.

[0472] In terms of specific operation, JSON data sent from the terminal reaches the server via the network. The server receives this data and stores the information in a database such as MySQL or MongoDB. The input is the JSON data sent from the terminal, and the output is the record stored in the database.

[0473] Step 3:

[0474] The server uses the stored user information to perform analysis and select potential partners.

[0475] Specifically, the server uses libraries such as Scikit-learn and TensorFlow to run a machine learning model to select potential partners that meet the user's criteria. The input for the analysis is user information from a database, and the output is a list of potential partners.

[0476] Step 4:

[0477] The server sends a list of potential partners selected by the server to the user's device, where it is presented to the user.

[0478] Specifically, the server sends a list of potential partners to the terminal in JSON format. The terminal receives this and displays the selected partner's profile in the GUI. The input is the list of potential partners from the server, and the output is the profile screen visible to the user.

[0479] Step 5:

[0480] The user selects candidates they are interested in, and that information is sent to the server.

[0481] In terms of the specific operation, the user clicks on a candidate on the device screen to select it, and then clicks the "Select" button. The selected information is sent from the device to the server. The input is the candidate data selected by the user, and the output is the selection information transmitted to the server.

[0482] Step 6:

[0483] The server automates conversations and negotiations with selected candidates.

[0484] Specifically, the server uses Natural Language Processing (NLP) technology to automatically generate conversation scenarios based on the interests and concerns of the user and the candidate. The input for this activity is the user's selection information and the candidate's profile, and the output is the generated dialogue.

[0485] Step 7:

[0486] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up a meeting.

[0487] In practice, the server checks both parties' calendars, determines the meeting date and time, and notifies both terminals. The input is the calendar information of both parties, and the output is the notification information for the scheduled meeting.

[0488] Step 8:

[0489] After the meeting, the server receives user feedback and generates the next suggestion.

[0490] In practice, the user inputs feedback through their device and sends it to the server. The server analyzes this information, generates a next date plan, and proposes it to the device. The input is user feedback, and the output is the next date suggestion.

[0491] (Application Example 1)

[0492] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0493] Modern matchmaking services demand a great deal of time and effort from users, making them far from efficient. Furthermore, the process of finding an ideal partner involves complex selection, negotiation, and scheduling procedures, highlighting the need for an improved overall user experience. Additionally, the lack of an environment conducive to easily utilizing these services in daily life is a significant challenge.

[0494] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0495] In this invention, the server includes information processing means for selecting potential partners based on the user's preferences, negotiation means for automating negotiations with the selected partners, time management means for coordinating schedules and setting up meetings if negotiations are successful, input means for acquiring the user's intentions through voice recognition using a home device, and presentation means for notifying the user of candidate suggestions via voice and video using a generating AI. This makes it possible for users to efficiently find their ideal partner in their daily lives.

[0496] "Information processing means" refers to technology that has the function of selecting suitable partner candidates from a vast amount of data based on the user's preferences and conditions.

[0497] "Negotiation tools" refer to technologies that automatically negotiate with selected potential partners and implement a process to reach an agreement.

[0498] "Time management techniques" refer to scheduling skills used to coordinate the schedules of both parties after negotiations have been successful and to actually set up meetings or appointments.

[0499] "Communication method" refers to a technology that automatically generates and sends a polite message when a user declines a romantic relationship.

[0500] "Input method" refers to technology that uses voice recognition functionality through home-use devices to receive instructions and intentions from users.

[0501] "Presentation method" refers to a technology that utilizes generative AI to provide users with candidate suggestions through audio or visual means.

[0502] The system for realizing this invention is designed so that the server operates on a cloud platform and integrates information processing, negotiation, time management, communication, input, and presentation means. In the information processing, the server selects suitable partner candidates from a database based on preferences and conditions entered by the user. For this, Python's pandas and NumPy are used as software libraries to enable data analysis.

[0503] On the user terminal, home-use devices handle speech recognition and natural language processing. For example, they implement the speech recognition functions of Google Assistant or Amazon Alexa, accepting input via voice commands. As a means of presentation, candidates are introduced and suggested using a generative AI model via a display or speaker. The generative AI model utilizes OpenAI's GPT. Prompts are used to provide the user with the most suitable candidate information.

[0504] The server uses negotiation tools to communicate with automatically selected candidates, and after successful negotiations, it uses time management tools, such as the Google Calendar API, to schedule meetings and dates. During this time, if the user declines a relationship, the server automatically generates an appropriate message via communication tools and sends it to the candidate.

[0505] As a concrete example, if a user asks a household robot in the morning to "find a partner in their 30s who loves nature," the robot will communicate with a server and list candidates who meet the criteria. It can then suggest a schedule for a meeting at an appropriate time. An example of a prompt to the generation AI model would be, "Generate a list of profiles of men in their late 30s who love the outdoors. Please list three characteristics of a person who meets my ideal criteria."

[0506] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0507] Step 1:

[0508] The user inputs their criteria for a partner via voice through a home robot. The input voice data is converted into text data by the device's voice recognition system (e.g., Google Assistant). The textual preferences and criteria are sent to a server to prepare for the next step.

[0509] Step 2:

[0510] The server uses the received text data to search the database for candidates that match the user's criteria using information processing tools. In this process, data analysis libraries (such as pandas or NumPy) are used to generate a list of candidates that meet the criteria. The resulting candidate list is stored on the server, preparing for the next necessary processing.

[0511] Step 3:

[0512] The server uses a generative AI model to generate suggestions based on the candidate list. Specifically, it utilizes OpenAI's GPT and, given a prompt (e.g., "Generate a profile for a 30-something man who enjoys the outdoors"), generates content that presents the candidate's characteristics and appeal to the user. This generated content is then sent to the terminal via a presentation device.

[0513] Step 4:

[0514] The terminal uses a presentation mechanism to display generated candidate suggestions to the user via voice or display. Based on the presented information, the user selects candidates they are interested in. The selected information is then sent back to the server.

[0515] Step 5:

[0516] The server uses negotiation tools with the selected candidate and initiates automated negotiations with the candidate's system. Two-way information exchange takes place using an API, and communication is conducted to reach an agreement. If an agreement is reached, the result is stored on the server.

[0517] Step 6:

[0518] If negotiations are successful, the server uses time management tools to adjust the schedule. Using the Google Calendar API, it finds a date and time preferred by both the user and the candidate and sets up the meeting. This information is then notified to the device via the transmission channel.

[0519] Step 7:

[0520] Users review and utilize the set schedule. If necessary, messages are automatically generated and sent to candidates via communication channels. For example, if a user declines a meeting, a polite message is generated and appropriately sent to the candidate.

[0521] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0522] This invention provides a system that enables users to engage in matchmaking activities efficiently and with reduced emotional burden. This system includes a server, terminals, artificial intelligence, and an emotion engine.

[0523] First, the user enters basic information and ideal partner criteria using a terminal and registers it in the system. This sends the user's information to the server and stores it in a database. The server then uses artificial intelligence to analyze the stored information and select potential partners who match the user. Furthermore, an emotion engine recognizes emotions from the user's input data to optimize candidate selection.

[0524] The selected list of candidates is sent to the terminal, where the user can review it and select candidates they are interested in. Based on the selected information, the server initiates negotiations with the candidates' AI agents using negotiation tools. During this process, the emotion engine analyzes the user's emotions and optimizes the content and progress of the negotiations.

[0525] If negotiations are successful, the server uses scheduling tools based on the user's and candidate's schedules to set the optimal date and time for a meeting or date. The emotion engine uses the user's emotional information to suggest a suitable time for the meeting or date.

[0526] After the meeting is successfully completed, the server receives feedback from the user and makes further date suggestions and scheduling adjustments. If the user wishes to decline a relationship with a candidate, they notify the server of their decision from their device, and the server uses an emotion engine to generate a polite and considerate rejection message and send it to the other party.

[0527] For example, if a user expresses feelings suggesting anxiety or loss of interest during negotiations, the emotion engine detects this, and the server adjusts the negotiation content, taking into account the user's and the other party's reactions. As a result, the user can make a decision about the relationship in a more relaxed state.

[0528] The following describes the processing flow.

[0529] Step 1:

[0530] Users access the service using their devices, enter their profile information and ideal partner criteria, and register. This registration information is then sent from the device to the server.

[0531] Step 2:

[0532] The server stores the received information in a database and uses artificial intelligence to analyze the user's preferences. Based on the analysis results, it selects the most suitable partner candidates. Furthermore, an emotion engine estimates the user's emotional state from their input, optimizing the selection process.

[0533] Step 3:

[0534] The server sends a list of potential partners selected by the user to the device and displays it. The user reviews the list of candidates through the device and selects the candidates they are interested in.

[0535] Step 4:

[0536] The server, having received the selection information from the terminal, notifies the AI ​​agent of the selected candidate to begin negotiations. At this time, the server uses an emotion engine to check the user's emotional tendencies and adjust the progress of the negotiations accordingly.

[0537] Step 5:

[0538] The server confirms the interests and values ​​of the user and candidate through negotiation, and proceeds to the next step if the negotiation is successful. If there are changes in emotions during the negotiation process, the emotion engine analyzes them and takes appropriate action accordingly.

[0539] Step 6:

[0540] The server uses scheduling tools based on both parties' schedules to set the optimal date and time for the online meeting. The emotion engine considers emotional information and selects the most appropriate timing.

[0541] Step 7:

[0542] The server notifies both parties of the meeting information it has set. Users check the notification on their devices and adjust their schedules based on the information.

[0543] Step 8:

[0544] After the meeting ends, the server receives feedback from the user and suggests date plans and future dates. If the user declines to pursue a relationship with a candidate, they inform the server from their device, and the server uses an emotion engine to generate and send an appropriate rejection message.

[0545] (Example 2)

[0546] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0547] In modern society, users need to efficiently find suitable partners, reduce emotional burden, and manage their schedules through automated processes when engaging in matchmaking. However, existing systems have problems in that they struggle to select, negotiate, and adjust based on the detailed preferences and feelings of users. As a result, users often spend a lot of time and effort and experience stress. This invention aims to solve these problems.

[0548] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0549] In this invention, the server includes information processing means for selecting a partner based on the user's preferences, communication control means for automating the dialogue between the candidate and the user, schedule management means for adjusting the schedule after a successful dialogue, and emotion analysis means for analyzing the user's emotions and setting the optimal dialogue and schedule. This enables the user to proceed with their marriage search efficiently and smoothly.

[0550] "User" refers to an individual who uses the system to find a romantic partner.

[0551] "Preferences" refers to information that describes the conditions and characteristics of the ideal partner that the user desires.

[0552] A "romantic partner" refers to a person a user might potentially meet through the system.

[0553] "Information processing means" refers to a function that automatically selects the most suitable partner based on the user's information and preferences.

[0554] "Communication control means" refers to a means for automatically conducting conversations with a selected partner.

[0555] "Schedule management means" refers to a function that allows users and their partners to coordinate meeting dates.

[0556] "Emotional analysis tools" refer to methods for analyzing a user's emotions and providing optimal dialogue methods and suggestions.

[0557] "Message generation means" refers to a means of automatically generating a message with appropriate content when a user wishes to terminate a relationship.

[0558] This invention utilizes a server, terminals, artificial intelligence technology, and an emotion analysis engine to build a system that efficiently supports users in their search for a marriage partner. Specifically, the server manages a database and uses an AI model to select the most suitable dating candidates from the user's input information. The server further manages automated conversations with candidates using communication control means and adjusts appropriate meeting dates and times using scheduling means. In addition, the server utilizes the emotion analysis engine to analyze the user's emotional state and optimize the selection and conversation content.

[0559] The terminal functions as an interface with the user, who inputs basic information and ideal partner criteria through the terminal. The terminal immediately sends the entered information to the server, and the information from the server (e.g., candidate list, messages, etc.) is displayed to the user.

[0560] As a concrete example, a user might input criteria into the system such as, "I'm looking for someone who enjoys reading and has a gentle personality." Based on this information, the server would input a prompt message to the AI ​​model saying, "I'm looking for a partner in their 20s who enjoys reading and has a gentle personality. Please suggest candidates based on this, and proceed with negotiations while considering the user's feelings." The system would then select appropriate candidates. This increases the likelihood that the user will smoothly find someone who closely matches their ideal partner.

[0561] This system combines servers with extensive database processing capabilities, terminals with user-friendly interfaces, and AI technology with advanced analytical capabilities to achieve highly automated matchmaking support.

[0562] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0563] Step 1:

[0564] The user enters basic information and ideal partner criteria via a terminal. The terminal sends this information to the server as input data. The input includes name, age, hobbies, occupation, and ideal personality. The terminal performs the specific action of structuring the entered data and sending it to the server. The output is the user data received by the server.

[0565] Step 2:

[0566] The server stores the received user data in a database. A database management system is used to process the received data and store it in an appropriate format. The data is stored by generating SQL statements, and the output reflects the update status within the database.

[0567] Step 3:

[0568] The server uses a generative AI model to select the most suitable dating partners from the user information in the database. During this process, conditions are input to the AI ​​model as prompts, and data calculations are performed to obtain the analysis results. The output is a list of the selected candidates.

[0569] Step 4:

[0570] The server sends a list of selected candidates to the terminal. The terminal receives this data and displays it to the user. During display, it organizes and presents the list via a user interface (UI) to make it easy for the user to review. The output is a list of candidates that the user can review.

[0571] Step 5:

[0572] The user selects candidates of interest on their device. The selected data is sent back to the server via the device. The output is data containing the user's selection information.

[0573] Step 6:

[0574] Based on the selected information, the server initiates a dialogue with the candidate's AI agent via a communication control mechanism. Specifically, the server exchanges messages with the AI ​​agent using the appropriate protocol and adjusts the content of the dialogue. The output is the progress and result of the dialogue.

[0575] Step 7:

[0576] If negotiations are successful, the server uses scheduling tools to coordinate the user's and candidate's schedules and propose the best possible date. It performs data calculations to verify compatibility with the candidate's schedule and generates appropriate suggestions. The output is a detailed description of the proposed date.

[0577] (Application Example 2)

[0578] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0579] Traditional matchmaking systems sometimes fail to rationally facilitate matching and negotiations between users and potential partners, and they also lack sufficient optimization to address the emotional burden on users. Furthermore, a lack of consideration during negotiations or when a relationship is declined can cause users to experience emotional stress. There is a need to improve these systems and realize a more efficient matchmaking process that reduces emotional burden.

[0580] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0581] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating negotiations between the selected partners and the user, and an emotion analysis means for analyzing the user's psychological state during negotiations and performing emotion-based optimization. This enables efficient and considerate matching and relationship progression while taking into account the user's emotional state during the candidate selection and negotiation process.

[0582] "Computational means" refers to a device or system that executes algorithms or processes for identifying and selecting potential romantic partners based on the user's preferences.

[0583] "Processing means" refers to a device or software that has the function of automatically facilitating negotiations between the selected potential dating partners and the user.

[0584] "Emotional analysis means" refers to a device or program that includes technical elements for analyzing the user's psychological state and optimizing negotiations and matching based on the results.

[0585] A "coordination tool" is a device or system that has the function of coordinating the schedules of both parties and setting up meetings after negotiations have been successful.

[0586] "Generating means" refers to a program or device capable of automatically generating and transmitting a polite message when declining a relationship with a candidate.

[0587] A system implementing this invention comprises a server, a terminal, a consumer robot, artificial intelligence, and an emotion analysis engine.

[0588] The server receives basic information and ideal partner criteria entered by the user using a terminal or consumer robot, and stores it in a database. The user's data is analyzed by artificial intelligence software to select the most suitable partner candidates. The AI ​​uses a generative AI model that can respond sensitively to the user's intentions and emotions through prompt messages.

[0589] Next, once a candidate is selected, the server uses an emotion analysis engine to analyze the user's emotions and optimize the negotiation based on the results. The emotion analysis engine processes user feedback and response information in real time and adjusts the progress of the negotiation to be emotionally appropriate.

[0590] The terminal and consumer robots present the user with a list of selected candidates, from which the user can choose candidates they are interested in. Based on the selected information, the server automatically initiates negotiations with the candidates and responds in an emotion-based manner.

[0591] Furthermore, if negotiations are successful, the server coordinates schedules for both parties and sets up meetings or dates at appropriate times. During this process, the emotion analysis engine makes suggestions based on the user's current emotional information, ensuring the most suitable timing. This provides users with a less stressful and more pleasant matchmaking experience.

[0592] For example, on a holiday evening, a robot at the user's home reports the results of an analysis using artificial intelligence, saying, "Your emotions are stable today, so I'll suggest some date candidates." If the user shows interest in a candidate, the robot arranges a video call date online at an appropriate time.

[0593] An example of a prompt message is: "The user has shown interest in a candidate recommended based on their emotions. What action would you suggest they take next?"

[0594] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0595] Step 1:

[0596] The server receives basic information and ideal partner criteria entered by the user via a terminal or consumer robot. This input includes user profile information and desired conditions. The server processes this data, storing it in a database and outputting the user information in a structured format.

[0597] Step 2:

[0598] The server uses artificial intelligence to analyze stored user information. The input data includes user preferences and criteria, and the generating AI model processes this information to create a list of potential romantic partners. This result is output as a candidate list.

[0599] Step 3:

[0600] The server uses an emotion analysis engine to evaluate the user's emotional state for the generated list of potential partners. Input includes the user's responses and past history, and through analysis, it selects partners that best match the user's emotional state and outputs optimized matching results.

[0601] Step 4:

[0602] The terminal or consumer robot presents the user with a list of candidates. The user selects candidates of interest from this list, and the selection results are sent as input to the server.

[0603] Step 5:

[0604] The server initiates automated negotiations based on the candidate information selected by the user. The input includes information on the selected candidate, and the server uses processing tools to advance the negotiation process. The server then outputs the negotiation progress and results.

[0605] Step 6:

[0606] If negotiations are successful, the server calculates the schedules of both parties and adjusts the date and time of the meeting or gathering. The input is each user's schedule information, and the server performs adjustment calculations to output the meeting date.

[0607] Step 7:

[0608] If a user indicates their intention to decline a relationship, the server uses a sentiment analysis engine to generate and send a polite refusal message to the candidate. The input is the user's intention and emotional state, and the server outputs a polite message based on this.

[0609] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0610] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0611] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0612] [Fourth Embodiment]

[0613] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0614] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0615] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0616] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0617] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0618] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0619] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0620] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0621] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0622] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0623] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0624] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0625] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0626] This invention is a system for providing users with an efficient and low-burden matchmaking service. This system utilizes servers, terminals, and artificial intelligence to support the user's process of finding a partner.

[0627] The user first enters basic information and desired criteria for their ideal partner via their device. This information is sent to and stored on the server. The user's information is analyzed by the server's artificial intelligence to select potential partners that the user is likely to like.

[0628] A list of selected candidates is displayed on the terminal for the user to review. By selecting a candidate of interest, the server communicates the user's intentions to the AI ​​agent on the other side. The server automatically begins negotiations with the candidate, confirming common interests, hobbies, and basic values.

[0629] If negotiations are successful, the server will match the user's and candidate's schedules, find a suitable date and time, and set up a meeting. Information about the scheduled meeting will be sent to both parties' devices.

[0630] After the meeting is successfully completed, the server receives user feedback and then suggests and schedules the next date. If the user wishes to decline a potential partner, they notify the server from their device, and the server uses AI to generate a polite refusal message and send it appropriately.

[0631] For example, if a female user in her 30s desires an ideal partner who is a man in his late 30s who enjoys the outdoors, the server will provide a list of men who meet that criteria. If the user becomes interested in one of them and the server successfully negotiates, the server will schedule an online meeting through a schedule check and notify the user. In this way, users are provided with an efficient opportunity to meet a partner.

[0632] The following describes the processing flow.

[0633] Step 1:

[0634] The user uses their device to enter basic information and ideal partner criteria, completing the service registration. The device then sends this information to the server.

[0635] Step 2:

[0636] The server stores the received information in a database and analyzes it using artificial intelligence based on the user's preferences and past behavioral history. Based on the analysis results, it selects potential romantic partners who are a good match for the user.

[0637] Step 3:

[0638] The server sends a list of selected candidates to the user's device and presents it to them. The user reviews the list of candidates through their device and selects candidates they are interested in.

[0639] Step 4:

[0640] The selection information is sent from the terminal to the server, which communicates the intention to negotiate to the AI ​​agent of the selected candidate. The server then automatically interacts with the candidate using negotiation tools.

[0641] Step 5:

[0642] If the server succeeds in negotiations, it will use scheduling tools based on the user's and candidate's schedule information to set the most suitable date and time for an online meeting.

[0643] Step 6:

[0644] The server notifies both terminals of the meeting information it has set, allowing users to check the schedule. Users provide feedback to the server via their terminals as needed.

[0645] Step 7:

[0646] After the meeting ends, the server receives feedback from the user and offers further date suggestions. If the user wishes to decline a potential partner, they notify the server of their decision via their device, and the server creates and sends a rejection message using a message generation tool.

[0647] (Example 1)

[0648] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0649] In today's world, efficiently and satisfactorily finding and selecting a romantic partner is a significant burden for users. Furthermore, there is a demand for automated negotiation between users and candidates, and smoother scheduling, but conventional systems fail to adequately address these needs. Therefore, a new system is needed that allows users to easily find their ideal partner who meets their desired criteria.

[0650] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0651] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating conversations between the selected partners, and a scheduling management means for coordinating schedules and setting up meetings. This allows the user to efficiently select and negotiate with potential partners and smoothly coordinate schedules.

[0652] A "user" is an individual who uses the system with the purpose of finding a romantic partner.

[0653] A "potential partner" is a potential romantic partner who may be recommended based on the user's preferences and criteria.

[0654] "Calculation means" refers to components used to calculate the most suitable dating candidates based on information provided by the user.

[0655] "Processing means" refers to components that automatically conduct conversations and negotiations between selected potential partners and the user.

[0656] "Schedule management tools" are components used to coordinate the schedules of the user and potential partners and to set up meetings after negotiations have been successful.

[0657] A "text generation means" is a component that automatically creates a polite message when declining a potential partner.

[0658] This invention is a system for streamlining the search and negotiation process for dating partners, using a server, terminals, and artificial intelligence to assist users in finding their ideal partner. The following describes how to implement the system in detail.

[0659] This system begins with the user using a device to enter their basic information and the criteria for their ideal partner. The device is expected to be a smartphone or a personal computer. Once the user fills out and submits the form using the application on their device, this information is sent to the server.

[0660] The server stores the received information in an internal database. The database systems used for this include industry-standard MySQL and MongoDB. Next, the server analyzes the user information using machine learning algorithms. Software libraries such as Scikit-learn and TensorFlow are expected to be used for this analysis. The purpose of the analysis is to select the most suitable dating candidates based on the user's preferences.

[0661] The selected dating candidates are sent as a list to the terminal by the server and presented to the user. The user can review this list and select candidates they are interested in. The user's selections are sent to the server, which then automatically conducts conversations and negotiations with the selected dating candidates. Natural language processing technology is used for negotiations, with options including NLTK and spaCy.

[0662] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up the actual meeting. This provides the user with a smooth opportunity to meet.

[0663] For example, if a female user in her 30s expresses a preference for a male in his 30s who enjoys sports, the server generates a list of suitable male candidates. It then sets up and notifies the user of any candidates they are interested in for an initial online meeting. This entire process allows users to efficiently and effectively find a partner.

[0664] Finally, this system utilizes prompts to power the AI ​​model. An example of a prompt might be, "I'm a woman in my 30s looking for a man my age who likes sports." Based on this, the AI ​​model generates a list of suitable candidates.

[0665] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0666] Step 1:

[0667] The user uses their device to enter their basic information and ideal partner criteria.

[0668] In terms of the specific operation, the user opens the application on their device, enters their name, age, occupation, hobbies, ideal partner profile, etc., and presses the submit button. This information is the input data, and JSON data is generated as output, which is sent to the server.

[0669] Step 2:

[0670] Data from the terminal is sent to the server, which then stores it in a database.

[0671] In terms of specific operation, JSON data sent from the terminal reaches the server via the network. The server receives this data and stores the information in a database such as MySQL or MongoDB. The input is the JSON data sent from the terminal, and the output is the record stored in the database.

[0672] Step 3:

[0673] The server uses the stored user information to perform analysis and select potential partners.

[0674] Specifically, the server uses libraries such as Scikit-learn and TensorFlow to run a machine learning model to select potential partners that meet the user's criteria. The input for the analysis is user information from a database, and the output is a list of potential partners.

[0675] Step 4:

[0676] The server sends a list of potential partners selected by the server to the user's device, where it is presented to the user.

[0677] Specifically, the server sends a list of potential partners to the terminal in JSON format. The terminal receives this and displays the selected partner's profile in the GUI. The input is the list of potential partners from the server, and the output is the profile screen visible to the user.

[0678] Step 5:

[0679] The user selects candidates they are interested in, and that information is sent to the server.

[0680] In terms of the specific operation, the user clicks on a candidate on the device screen to select it, and then clicks the "Select" button. The selected information is sent from the device to the server. The input is the candidate data selected by the user, and the output is the selection information transmitted to the server.

[0681] Step 6:

[0682] The server automates conversations and negotiations with selected candidates.

[0683] Specifically, the server uses Natural Language Processing (NLP) technology to automatically generate conversation scenarios based on the interests and concerns of the user and the candidate. The input for this activity is the user's selection information and the candidate's profile, and the output is the generated dialogue.

[0684] Step 7:

[0685] If negotiations are successful, the server will coordinate the schedules of the user and the candidate and set up a meeting.

[0686] In practice, the server checks both parties' calendars, determines the meeting date and time, and notifies both terminals. The input is the calendar information of both parties, and the output is the notification information for the scheduled meeting.

[0687] Step 8:

[0688] After the meeting, the server receives user feedback and generates the next suggestion.

[0689] In practice, the user inputs feedback through their device and sends it to the server. The server analyzes this information, generates a next date plan, and proposes it to the device. The input is user feedback, and the output is the next date suggestion.

[0690] (Application Example 1)

[0691] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0692] Modern matchmaking services demand a great deal of time and effort from users, making them far from efficient. Furthermore, the process of finding an ideal partner involves complex selection, negotiation, and scheduling procedures, highlighting the need for an improved overall user experience. Additionally, the lack of an environment conducive to easily utilizing these services in daily life is a significant challenge.

[0693] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0694] In this invention, the server includes information processing means for selecting potential partners based on the user's preferences, negotiation means for automating negotiations with the selected partners, time management means for coordinating schedules and setting up meetings if negotiations are successful, input means for acquiring the user's intentions through voice recognition using a home device, and presentation means for notifying the user of candidate suggestions via voice and video using a generating AI. This makes it possible for users to efficiently find their ideal partner in their daily lives.

[0695] "Information processing means" refers to technology that has the function of selecting suitable partner candidates from a vast amount of data based on the user's preferences and conditions.

[0696] "Negotiation tools" refer to technologies that automatically negotiate with selected potential partners and implement a process to reach an agreement.

[0697] "Time management techniques" refer to scheduling skills used to coordinate the schedules of both parties after negotiations have been successful and to actually set up meetings or appointments.

[0698] "Communication method" refers to a technology that automatically generates and sends a polite message when a user declines a romantic relationship.

[0699] "Input method" refers to technology that uses voice recognition functionality through home-use devices to receive instructions and intentions from users.

[0700] "Presentation method" refers to a technology that utilizes generative AI to provide users with candidate suggestions through audio or visual means.

[0701] The system for realizing this invention is designed so that the server operates on a cloud platform and integrates information processing, negotiation, time management, communication, input, and presentation means. In the information processing, the server selects suitable partner candidates from a database based on preferences and conditions entered by the user. For this, Python's pandas and NumPy are used as software libraries to enable data analysis.

[0702] On the user terminal, home-use devices handle speech recognition and natural language processing. For example, they implement the speech recognition functions of Google Assistant or Amazon Alexa, accepting input via voice commands. As a means of presentation, candidates are introduced and suggested using a generative AI model via a display or speaker. The generative AI model utilizes OpenAI's GPT. Prompts are used to provide the user with the most suitable candidate information.

[0703] The server uses negotiation tools to communicate with automatically selected candidates, and after successful negotiations, it uses time management tools, such as the Google Calendar API, to schedule meetings and dates. During this time, if the user declines a relationship, the server automatically generates an appropriate message via communication tools and sends it to the candidate.

[0704] As a concrete example, if a user asks a household robot in the morning to "find a partner in their 30s who loves nature," the robot will communicate with a server and list candidates who meet the criteria. It can then suggest a schedule for a meeting at an appropriate time. An example of a prompt to the generation AI model would be, "Generate a list of profiles of men in their late 30s who love the outdoors. Please list three characteristics of a person who meets my ideal criteria."

[0705] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0706] Step 1:

[0707] The user inputs their criteria for a partner via voice through a home robot. The input voice data is converted into text data by the device's voice recognition system (e.g., Google Assistant). The textual preferences and criteria are sent to a server to prepare for the next step.

[0708] Step 2:

[0709] The server uses the received text data to search the database for candidates that match the user's criteria using information processing tools. In this process, data analysis libraries (such as pandas or NumPy) are used to generate a list of candidates that meet the criteria. The resulting candidate list is stored on the server, preparing for the next necessary processing.

[0710] Step 3:

[0711] The server uses a generative AI model to generate suggestions based on the candidate list. Specifically, it utilizes OpenAI's GPT and, given a prompt (e.g., "Generate a profile for a 30-something man who enjoys the outdoors"), generates content that presents the candidate's characteristics and appeal to the user. This generated content is then sent to the terminal via a presentation device.

[0712] Step 4:

[0713] The terminal uses a presentation mechanism to display generated candidate suggestions to the user via voice or display. Based on the presented information, the user selects candidates they are interested in. The selected information is then sent back to the server.

[0714] Step 5:

[0715] The server uses negotiation tools with the selected candidate and initiates automated negotiations with the candidate's system. Two-way information exchange takes place using an API, and communication is conducted to reach an agreement. If an agreement is reached, the result is stored on the server.

[0716] Step 6:

[0717] If negotiations are successful, the server uses time management tools to adjust the schedule. Using the Google Calendar API, it finds a date and time preferred by both the user and the candidate and sets up the meeting. This information is then notified to the device via the transmission channel.

[0718] Step 7:

[0719] Users review and utilize the set schedule. If necessary, messages are automatically generated and sent to candidates via communication channels. For example, if a user declines a meeting, a polite message is generated and appropriately sent to the candidate.

[0720] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0721] This invention provides a system that enables users to engage in matchmaking activities efficiently and with reduced emotional burden. This system includes a server, terminals, artificial intelligence, and an emotion engine.

[0722] First, the user enters basic information and ideal partner criteria using a terminal and registers it in the system. This sends the user's information to the server and stores it in a database. The server then uses artificial intelligence to analyze the stored information and select potential partners who match the user. Furthermore, an emotion engine recognizes emotions from the user's input data to optimize candidate selection.

[0723] The selected list of candidates is sent to the terminal, where the user can review it and select candidates they are interested in. Based on the selected information, the server initiates negotiations with the candidates' AI agents using negotiation tools. During this process, the emotion engine analyzes the user's emotions and optimizes the content and progress of the negotiations.

[0724] If negotiations are successful, the server uses scheduling tools based on the user's and candidate's schedules to set the optimal date and time for a meeting or date. The emotion engine uses the user's emotional information to suggest a suitable time for the meeting or date.

[0725] After the meeting is successfully completed, the server receives feedback from the user and makes further date suggestions and scheduling adjustments. If the user wishes to decline a relationship with a candidate, they notify the server of their decision from their device, and the server uses an emotion engine to generate a polite and considerate rejection message and send it to the other party.

[0726] For example, if a user expresses feelings suggesting anxiety or loss of interest during negotiations, the emotion engine detects this, and the server adjusts the negotiation content, taking into account the user's and the other party's reactions. As a result, the user can make a decision about the relationship in a more relaxed state.

[0727] The following describes the processing flow.

[0728] Step 1:

[0729] Users access the service using their devices, enter their profile information and ideal partner criteria, and register. This registration information is then sent from the device to the server.

[0730] Step 2:

[0731] The server stores the received information in a database and uses artificial intelligence to analyze the user's preferences. Based on the analysis results, it selects the most suitable partner candidates. Furthermore, an emotion engine estimates the user's emotional state from their input, optimizing the selection process.

[0732] Step 3:

[0733] The server sends a list of potential partners selected by the user to the device and displays it. The user reviews the list of candidates through the device and selects the candidates they are interested in.

[0734] Step 4:

[0735] The server, having received the selection information from the terminal, notifies the AI ​​agent of the selected candidate to begin negotiations. At this time, the server uses an emotion engine to check the user's emotional tendencies and adjust the progress of the negotiations accordingly.

[0736] Step 5:

[0737] The server confirms the interests and values ​​of the user and candidate through negotiation, and proceeds to the next step if the negotiation is successful. If there are changes in emotions during the negotiation process, the emotion engine analyzes them and takes appropriate action accordingly.

[0738] Step 6:

[0739] The server uses scheduling tools based on both parties' schedules to set the optimal date and time for the online meeting. The emotion engine considers emotional information and selects the most appropriate timing.

[0740] Step 7:

[0741] The server notifies both parties of the meeting information it has set. Users check the notification on their devices and adjust their schedules based on the information.

[0742] Step 8:

[0743] After the meeting ends, the server receives feedback from the user and suggests date plans and future dates. If the user declines to pursue a relationship with a candidate, they inform the server from their device, and the server uses an emotion engine to generate and send an appropriate rejection message.

[0744] (Example 2)

[0745] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0746] In modern society, users need to efficiently find suitable partners, reduce emotional burden, and manage their schedules through automated processes when engaging in matchmaking. However, existing systems have problems in that they struggle to select, negotiate, and adjust based on the detailed preferences and feelings of users. As a result, users often spend a lot of time and effort and experience stress. This invention aims to solve these problems.

[0747] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0748] In this invention, the server includes information processing means for selecting a partner based on the user's preferences, communication control means for automating the dialogue between the candidate and the user, schedule management means for adjusting the schedule after a successful dialogue, and emotion analysis means for analyzing the user's emotions and setting the optimal dialogue and schedule. This enables the user to proceed with their marriage search efficiently and smoothly.

[0749] "User" refers to an individual who uses the system to find a romantic partner.

[0750] "Preferences" refers to information that describes the conditions and characteristics of the ideal partner that the user desires.

[0751] A "romantic partner" refers to a person a user might potentially meet through the system.

[0752] "Information processing means" refers to a function that automatically selects the most suitable partner based on the user's information and preferences.

[0753] "Communication control means" refers to a means for automatically conducting conversations with a selected partner.

[0754] "Schedule management means" refers to a function that allows users and their partners to coordinate meeting dates.

[0755] "Emotional analysis tools" refer to methods for analyzing a user's emotions and providing optimal dialogue methods and suggestions.

[0756] "Message generation means" refers to a means of automatically generating a message with appropriate content when a user wishes to terminate a relationship.

[0757] This invention utilizes a server, terminals, artificial intelligence technology, and an emotion analysis engine to build a system that efficiently supports users in their search for a marriage partner. Specifically, the server manages a database and uses an AI model to select the most suitable dating candidates from the user's input information. The server further manages automated conversations with candidates using communication control means and adjusts appropriate meeting dates and times using scheduling means. In addition, the server utilizes the emotion analysis engine to analyze the user's emotional state and optimize the selection and conversation content.

[0758] The terminal functions as an interface with the user, who inputs basic information and ideal partner criteria through the terminal. The terminal immediately sends the entered information to the server, and the information from the server (e.g., candidate list, messages, etc.) is displayed to the user.

[0759] As a concrete example, a user might input criteria into the system such as, "I'm looking for someone who enjoys reading and has a gentle personality." Based on this information, the server would input a prompt message to the AI ​​model saying, "I'm looking for a partner in their 20s who enjoys reading and has a gentle personality. Please suggest candidates based on this, and proceed with negotiations while considering the user's feelings." The system would then select appropriate candidates. This increases the likelihood that the user will smoothly find someone who closely matches their ideal partner.

[0760] This system combines servers with extensive database processing capabilities, terminals with user-friendly interfaces, and AI technology with advanced analytical capabilities to achieve highly automated matchmaking support.

[0761] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0762] Step 1:

[0763] The user enters basic information and ideal partner criteria via a terminal. The terminal sends this information to the server as input data. The input includes name, age, hobbies, occupation, and ideal personality. The terminal performs the specific action of structuring the entered data and sending it to the server. The output is the user data received by the server.

[0764] Step 2:

[0765] The server stores the received user data in a database. A database management system is used to process the received data and store it in an appropriate format. The data is stored by generating SQL statements, and the output reflects the update status within the database.

[0766] Step 3:

[0767] The server uses a generative AI model to select the most suitable dating partners from the user information in the database. During this process, conditions are input to the AI ​​model as prompts, and data calculations are performed to obtain the analysis results. The output is a list of the selected candidates.

[0768] Step 4:

[0769] The server sends a list of selected candidates to the terminal. The terminal receives this data and displays it to the user. During display, it organizes and presents the list via a user interface (UI) to make it easy for the user to review. The output is a list of candidates that the user can review.

[0770] Step 5:

[0771] The user selects candidates of interest on their device. The selected data is sent back to the server via the device. The output is data containing the user's selection information.

[0772] Step 6:

[0773] Based on the selected information, the server initiates a dialogue with the candidate's AI agent via a communication control mechanism. Specifically, the server exchanges messages with the AI ​​agent using the appropriate protocol and adjusts the content of the dialogue. The output is the progress and result of the dialogue.

[0774] Step 7:

[0775] If negotiations are successful, the server uses scheduling tools to coordinate the user's and candidate's schedules and propose the best possible date. It performs data calculations to verify compatibility with the candidate's schedule and generates appropriate suggestions. The output is a detailed description of the proposed date.

[0776] (Application Example 2)

[0777] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0778] Traditional matchmaking systems sometimes fail to rationally facilitate matching and negotiations between users and potential partners, and they also lack sufficient optimization to address the emotional burden on users. Furthermore, a lack of consideration during negotiations or when a relationship is declined can cause users to experience emotional stress. There is a need to improve these systems and realize a more efficient matchmaking process that reduces emotional burden.

[0779] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0780] In this invention, the server includes a calculation means for selecting potential partners based on the user's preferences, a processing means for automating negotiations between the selected partners and the user, and an emotion analysis means for analyzing the user's psychological state during negotiations and performing emotion-based optimization. This enables efficient and considerate matching and relationship progression while taking into account the user's emotional state during the candidate selection and negotiation process.

[0781] "Computational means" refers to a device or system that executes algorithms or processes for identifying and selecting potential romantic partners based on the user's preferences.

[0782] "Processing means" refers to a device or software that has the function of automatically facilitating negotiations between the selected potential dating partners and the user.

[0783] "Emotional analysis means" refers to a device or program that includes technical elements for analyzing the user's psychological state and optimizing negotiations and matching based on the results.

[0784] A "coordination tool" is a device or system that has the function of coordinating the schedules of both parties and setting up meetings after negotiations have been successful.

[0785] "Generating means" refers to a program or device capable of automatically generating and transmitting a polite message when declining a relationship with a candidate.

[0786] A system implementing this invention comprises a server, a terminal, a consumer robot, artificial intelligence, and an emotion analysis engine.

[0787] The server receives basic information and ideal partner criteria entered by the user using a terminal or consumer robot, and stores it in a database. The user's data is analyzed by artificial intelligence software to select the most suitable partner candidates. The AI ​​uses a generative AI model that can respond sensitively to the user's intentions and emotions through prompt messages.

[0788] Next, once a candidate is selected, the server uses an emotion analysis engine to analyze the user's emotions and optimize the negotiation based on the results. The emotion analysis engine processes user feedback and response information in real time and adjusts the progress of the negotiation to be emotionally appropriate.

[0789] The terminal and consumer robots present the user with a list of selected candidates, from which the user can choose candidates they are interested in. Based on the selected information, the server automatically initiates negotiations with the candidates and responds in an emotion-based manner.

[0790] Furthermore, if negotiations are successful, the server coordinates schedules for both parties and sets up meetings or dates at appropriate times. During this process, the emotion analysis engine makes suggestions based on the user's current emotional information, ensuring the most suitable timing. This provides users with a less stressful and more pleasant matchmaking experience.

[0791] For example, on a holiday evening, a robot at the user's home reports the results of an analysis using artificial intelligence, saying, "Your emotions are stable today, so I'll suggest some date candidates." If the user shows interest in a candidate, the robot arranges a video call date online at an appropriate time.

[0792] An example of a prompt message is: "The user has shown interest in a candidate recommended based on their emotions. What action would you suggest they take next?"

[0793] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0794] Step 1:

[0795] The server receives basic information and ideal partner criteria entered by the user via a terminal or consumer robot. This input includes user profile information and desired conditions. The server processes this data, storing it in a database and outputting the user information in a structured format.

[0796] Step 2:

[0797] The server uses artificial intelligence to analyze stored user information. The input data includes user preferences and criteria, and the generating AI model processes this information to create a list of potential romantic partners. This result is output as a candidate list.

[0798] Step 3:

[0799] The server uses an emotion analysis engine to evaluate the user's emotional state for the generated list of potential partners. Input includes the user's responses and past history, and through analysis, it selects partners that best match the user's emotional state and outputs optimized matching results.

[0800] Step 4:

[0801] The terminal or consumer robot presents the user with a list of candidates. The user selects candidates of interest from this list, and the selection results are sent as input to the server.

[0802] Step 5:

[0803] The server initiates automated negotiations based on the candidate information selected by the user. The input includes information on the selected candidate, and the server uses processing tools to advance the negotiation process. The server then outputs the negotiation progress and results.

[0804] Step 6:

[0805] If negotiations are successful, the server calculates the schedules of both parties and adjusts the date and time of the meeting or gathering. The input is each user's schedule information, and the server performs adjustment calculations to output the meeting date.

[0806] Step 7:

[0807] If a user indicates their intention to decline a relationship, the server uses a sentiment analysis engine to generate and send a polite refusal message to the candidate. The input is the user's intention and emotional state, and the server outputs a polite message based on this.

[0808] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0809] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0810] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0811] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0812] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0813] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0814] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0815] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0816] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0817] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0818] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0819] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0820] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0821] 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.

[0822] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0823] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0824] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0825] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0826] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0827] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0828] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0829] The following is further disclosed regarding the embodiments described above.

[0830] (Claim 1)

[0831] An artificial intelligence system that selects potential romantic partners based on the user's preferences,

[0832] A negotiation tool that automates negotiations between selected candidates and users,

[0833] If negotiations are successful, a scheduling mechanism will be used to coordinate the schedules of both parties and set up a meeting.

[0834] A message generation method that automatically generates and sends a polite message when declining a relationship with a candidate,

[0835] A system that includes this.

[0836] (Claim 2)

[0837] The system according to claim 1, characterized in that it includes an algorithm for recommending potential romantic partners based on user input information.

[0838] (Claim 3)

[0839] The system according to claim 1, further comprising a plan generation means for proposing and coordinating a series of schedules and activities if negotiations are successful.

[0840] "Example 1"

[0841] (Claim 1)

[0842] A calculation means for selecting potential partners based on the user's preferences,

[0843] A processing means for automating conversations between selected candidates and the user,

[0844] If the conversation is successful, a scheduling management system is provided to coordinate the schedules of both parties and set up a meeting.

[0845] A message generation means that automatically generates and sends a polite message when declining a relationship with a candidate,

[0846] A device that includes this.

[0847] (Claim 2)

[0848] The apparatus according to claim 1, characterized in that it includes processing for recommending potential partners based on user input information.

[0849] (Claim 3)

[0850] The apparatus according to claim 1, further comprising a plan generation means for proposing and coordinating a series of appointments and activities if the conversation is successful.

[0851] "Application Example 1"

[0852] (Claim 1)

[0853] An information processing means for selecting potential romantic partners based on the user's preferences,

[0854] A negotiation tool that automates negotiations between selected candidates and users,

[0855] If negotiations are successful, a time management system will be used to coordinate schedules between both parties and set up a meeting.

[0856] A communication method that automatically generates and sends a polite message when declining a relationship with a candidate,

[0857] Home-use devices provide an input method that acquires the user's intent through voice recognition,

[0858] A presentation method that uses generative AI to notify users of candidate suggestions via voice and video,

[0859] A system that includes this.

[0860] (Claim 2)

[0861] The system according to claim 1, characterized in that it includes a method for recommending potential romantic partners based on user input information.

[0862] (Claim 3)

[0863] The system according to claim 1, further comprising means for creating a plan to propose and coordinate a series of schedules and activities if negotiations are successful.

[0864] "Example 2 of combining an emotion engine"

[0865] (Claim 1)

[0866] An information processing means for selecting potential romantic partners based on the user's preferences,

[0867] A communication control means that automates the dialogue between the selected candidate and the user,

[0868] If the dialogue is successful, a scheduling management system will be used to coordinate the schedules of both parties and set up a meeting.

[0869] A communication generation means that automatically generates and sends an appropriate message when discontinuing a relationship with a candidate,

[0870] A means of analyzing user emotions and applying it to dialogue and scheduling,

[0871] A system that includes this.

[0872] (Claim 2)

[0873] The system according to claim 1, characterized in that it includes processing means for recommending potential romantic partners based on user input information.

[0874] (Claim 3)

[0875] The system according to claim 1, further comprising a plan generation means for proposing and coordinating a series of schedules and activities if the dialogue is successful.

[0876] "Application example 2 when combining with an emotional engine"

[0877] (Claim 1)

[0878] A calculation method for selecting potential romantic partners based on the user's preferences,

[0879] A processing method that automates negotiations between selected candidates and users,

[0880] An emotion analysis tool that analyzes the user's psychological state during negotiations and performs optimization based on emotions,

[0881] If negotiations are successful, a means of coordinating schedules and setting up meetings for both parties,

[0882] A generation method that automatically generates and sends a polite message when declining a relationship with a candidate,

[0883] A system that includes this.

[0884] (Claim 2)

[0885] The system according to claim 1, characterized in that it includes an algorithm for recommending potential romantic partners based on user input information and for optimizing based on psychological state.

[0886] (Claim 3)

[0887] The system according to claim 1, further comprising a plan generation means for proposing a series of schedules and activities and adjusting them to take emotional information into consideration, in the event of successful negotiations. [Explanation of Symbols]

[0888] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. An information processing means for selecting potential romantic partners based on the user's preferences, A negotiation tool that automates negotiations between selected candidates and users, If negotiations are successful, a time management system will be used to coordinate schedules between both parties and set up a meeting. A communication method that automatically generates and sends a polite message when declining a relationship with a candidate, Home-use devices provide an input method that acquires the user's intent through voice recognition, A presentation method that uses generative AI to notify users of candidate suggestions via voice and video, A system that includes this.

2. The system according to claim 1, characterized in that it includes a method for recommending potential romantic partners based on user input information.

3. The system according to claim 1, further comprising means for creating a plan to propose and coordinate a series of schedules and activities if negotiations are successful.

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