system

Abstract

Provide a system. 【Solution means】 Means for receiving user input information and transmitting the user input information to a data processing device, Means for the data processing device to analyze the user input information, perform natural language processing on the text information, and extract indicators and emotional states, Means for the data processing device to collate the data with an existing successful case database based on the indicators and emotional states and perform a relational state analysis, Means for the data processing device to generate advice to be provided to the user from the results of the relational state analysis, Means for the data processing device to transmit the advice generated to a communication device, and for the communication device to present the advice to the user, Means for causing the data processing device to transmit the simulated experience content selected by the user and to generate and provide a virtual reaction, Means for the data processing device to create feedback based on the simulated experience results and provide it to the user through a communication device, Means for a mechanical device existing in the user's living environment to provide the advice through voice dialogue and perform emotional support, A system including the above.

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, which is 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 the chatbot's 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] In modern times, many single men and women are troubled by communication in love. Especially in important scenes such as relationship building and confession in the initial stage, they are unable to convey their feelings and intentions well, and as a result, there are not a few cases that end in failure. Conventionally, the means to obtain practice and advice to solve such problems are limited, and it is difficult to provide specific support according to individual situations.

Means for Solving the Problems

[0005] This invention provides a system that analyzes the state of a relationship by using natural language processing to analyze conversations and emotions based on user input information and comparing it with a database of past success stories. Based on the analysis results, it generates advice for the user and presents it through the terminal. Furthermore, through virtual simulations selected by the user, the system allows users to try out conversation and dating scenarios and provides practical improvement points through the generated feedback. This system makes it possible for users to increase their chances of success in building relationships in romantic relationships.

[0006] "User input information" refers to the text and data that users enter into the system, and it is this input information that is analyzed and used to generate advice.

[0007] A "terminal" refers to a device used by a user to operate a system and input or receive information. Generally, this includes computers and smartphones.

[0008] A "server" refers to a computer device that processes information received from users, performs analysis, compares it with databases, and generates advice and feedback.

[0009] "Natural language processing" is a technology that allows computers to process, understand, and generate natural language that humans typically use, and is used to analyze user input information.

[0010] "Keywords" refer to important words or phrases extracted from user input information, and serve as the basis for analysis and matching.

[0011] "Emotional state" refers to a person's emotions and psychological state inferred from user input information, and is used as part of the system's analysis results.

[0012] "Relationship situation analysis" refers to the process of evaluating and analyzing the relationship between a user and another person based on keywords and emotional states.

[0013] "Advice" refers to specific suggestions and recommendations provided to the user based on the analyzed information.

[0014] "Simulation" refers to the process by which a user virtually experiences a specific situation and then practices or experiments with the results.

[0015] "Feedback" refers to suggestions for improvement and additional advice provided based on the results of simulations and actual interactions.

[0016] A "database" is a collection of information, storing data such as past success stories, and serving as the basis for server-based matching. [Brief explanation of the drawing]

[0017] [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]Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0019] First, the language used in the following description will be explained.

[0020] 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.

[0021] 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.

[0022] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] 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."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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".

[0038] This invention is a system that supports communication in romantic relationships. Based on user input information, it uses natural language processing technology to analyze emotions and relationships, and provides appropriate advice and simulations. The following describes a specific embodiment of this system.

[0039] The user first accesses the system using a terminal and inputs their relationship problems and recent conversations as text. This input information is then sent from the terminal to the server.

[0040] The server analyzes the received user input information using natural language processing technology. In this analysis, the server extracts important keywords and emotional states from the text and uses this information to evaluate the relationship between the user and the other party.

[0041] Next, the server compares the current situation with a database containing past success stories and generates optimal advice tailored to the specific circumstances. This advice is designed to suit the user's situation and is sent from the server to the terminal for presentation to the user.

[0042] Furthermore, users can select specific simulations on their devices based on the advice provided. For example, they can choose a confession scenario and simulate a virtual conversation. The server calculates the virtual partner's reaction based on this selection, allowing the user to practice in a real-world situation.

[0043] After the simulation ends, the server analyzes the data obtained from the user's behavior and conversations and generates feedback that includes areas for improvement and additional advice. This feedback is displayed on the terminal, and the user can use it as a reference to improve their actual communication.

[0044] For example, if a user inputs "I've been talking to him less lately," the server will determine that "the frequency of communication needs to be restructured" and generate advice such as "you should create opportunities for conversation by incorporating common hobbies," and then allow the user to practice this through a virtual simulation. Through this practice, the user is helped to achieve better results in real-life romantic situations.

[0045] The following describes the processing flow.

[0046] Step 1:

[0047] Users access the system using their devices and input text about their relationship problems and recent conversations. This input is based on the user's subjective experience and is sent directly from the device to the server.

[0048] Step 2:

[0049] The server analyzes the user's input information received from the terminal. Using natural language processing techniques, the server extracts important keywords and emotional states from the input and formats the text data.

[0050] Step 3:

[0051] The server compares the extracted keywords and emotional states with a database containing past success stories. This comparison allows the server to evaluate the current state of the relationship between the user and the other party and generate specific analysis results.

[0052] Step 4:

[0053] The server generates optimal advice for the user based on the analysis results. This advice is designed to suit the user's situation and relationship status.

[0054] Step 5:

[0055] The server sends the generated advice to the terminal, which then displays the advice to the user. The user can review this advice and consider their next course of action.

[0056] Step 6:

[0057] The user selects a specific simulation on their device. The simulation content can be chosen from options such as a confession or a dating scenario, and the selected content is sent to the server via the device.

[0058] Step 7:

[0059] The server generates virtual responses based on the user's selected simulation. The server is designed to allow the user to experience responses from a virtual opponent through the simulation scenario.

[0060] Step 8:

[0061] After the simulation ends, the server analyzes the user's actions and statements and generates feedback based on the data obtained. This feedback includes suggestions for improvement and additional practice, and is sent from the server to the terminal.

[0062] Step 9:

[0063] The device displays feedback sent from the server to the user. The user can review this feedback and use it to make improvements in real-world situations.

[0064] (Example 1)

[0065] 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."

[0066] In romantic relationships, the quality of communication is crucial for maintaining and improving the relationship. However, many people struggle to find appropriate communication methods that suit their emotions and circumstances. Furthermore, opportunities to accurately understand their own emotions and improve their behavior based on those understandings are limited. Therefore, there is a need for a system that allows users to receive advice tailored to their specific situations and practice effective communication.

[0067] 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.

[0068] In this invention, the server includes means having a device for a user to input information and transmit said information to the server; means having a device for the server to analyze the input information and acquire keywords and emotional states using natural language processing technology; and means having a device for the server to use the acquired keywords and emotional states to compare them with a past success database and methods and perform relationship analysis. As a result, the user can receive appropriate advice in real time based on their own emotional state and relationships, and improve their communication through concrete simulations.

[0069] A "user" refers to an entity that inputs information into a system and receives advice and simulations provided by the server.

[0070] A "terminal" refers to a device used by users to input information, send it to a server, and receive advice from the server in return.

[0071] A "server" refers to a device that analyzes user input information, generates advice and simulation results through natural language processing technology, and provides them to the user via a terminal.

[0072] "Natural language processing technology" refers to the technology that enables computers to understand human language, extract meaning, and analyze it.

[0073] "Keywords" refer to words or phrases extracted from user input to identify important information or themes.

[0074] "Emotional state" refers to the user's current psychological state, analyzed based on the user's input information.

[0075] A "database" refers to a collection of information that stores past success stories and information necessary for generating advice.

[0076] "Advice" refers to specific guidelines or suggestions that a server provides to a user, aimed at solving problems or improving the relationship.

[0077] "Simulation" refers to a system that enables users to improve their communication in real-world situations through training and practice conducted in hypothetical scenarios.

[0078] "Feedback" refers to information generated based on user behavior and simulation results, including suggestions for improvement and additional advice.

[0079] This invention is a specific embodiment of a system for supporting users' communication in romantic relationships.

[0080] Users first access the system using a terminal. This system is accessible through a standard web browser, and digital devices such as PCs and smartphones can be used as terminals. Users can input their relationship problems and recent conversations in text format. Specifically, they use a text input field located on the terminal screen. For example, they might enter a prompt such as, "We've been talking less lately. What should I do?"

[0081] The terminal sends user input information to the server. The HTTPS protocol is used for secure communication over the internet during transmission.

[0082] The server uses natural language processing (NLP) techniques to analyze the received input information. Software used for this includes NLP open-source libraries such as "spaCy" and "NLTK." The server uses these tools to extract emotional states and keywords from the input text, generating data to evaluate the relationship between the user and the other party.

[0083] After analysis, the server compares the extracted data with a database containing past success stories. This matching process is performed using a relational database management system (RDBMS), etc. The data is then matched with accumulated performance information to generate advice best suited to the user's situation.

[0084] The generated advice is sent from the server to the terminal and presented to the user visually. Based on the advice presented, the user can select a specific simulation on the terminal. For example, they can choose a simulation scenario such as "When confessing your feelings, be honest about your emotions" and practice a virtual conversation using the system.

[0085] After the simulation ends, the server generates feedback based on the user's behavior data. This feedback is provided to the user's device, and the user can use it as a reference in actual communication. Therefore, throughout the entire system, the user can improve their communication skills related to romance.

[0086] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0087] Step 1:

[0088] The user accesses the system through their device and enters their relationship problems in text format. They enter a prompt such as "We've been talking less lately. What should I do?" into the input field and press the submit button. The entered text data is sent from the device to the server for processing in the next step.

[0089] Step 2:

[0090] The server receives text data sent by the user. The received data is passed to a natural language processing engine to begin text analysis. This process uses NLP libraries such as "spaCy" to extract keywords and emotional states from the input text. For data processing, morphological analysis is performed, and the user's emotions and state are quantified based on the extracted information. The output consists of the emotional state and the main keywords of the text.

[0091] Step 3:

[0092] The server uses the emotional state and keywords obtained in the previous step to compare them with a database containing past success stories. It uses a relational database system to search for similar cases. This matching process finds history that matches the emotional state and keywords obtained in the input and retrieves corresponding success stories. The output is data that can serve as a candidate for specific advice tailored to the user's situation.

[0093] Step 4:

[0094] The server generates advice for users based on success stories retrieved from the database. It utilizes a generative AI model to construct text that integrates best practices. Data processing involves assembling situation-appropriate advice from selected success stories. The final output is specific and actionable advice for the user.

[0095] Step 5:

[0096] The server sends the generated advice to the terminal. The terminal receives this data and displays the advice on the user's screen. The user can read the advice and gain guidance to improve their situation. The output is specific advice presented visually to the user.

[0097] Step 6:

[0098] Based on the advice provided, the user chooses to start a simulation on their device. For example, by selecting "Confession Simulation," they can experience a virtual conversation. The user's selection is sent to the server, which requests data for the simulation. The output is the settings and scenarios necessary for the simulation the user will perform.

[0099] Step 7:

[0100] The server generates virtual conversations and situations based on user selections and calculates real-time responses. The generated content includes virtual responses built by an AI model, ready to provide practical feedback to the user. The output is the reactions and feedback during the simulation.

[0101] Step 8:

[0102] After the simulation ends, the server evaluates the user's behavior and generates feedback. Based on the analysis results, it incorporates areas for improvement and advice for the next time, and sends it to the user's device. The feedback output specifically highlights the user's strengths and weaknesses. The user can use this information to improve future communication.

[0103] (Application Example 1)

[0104] 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."

[0105] In modern society, a lack of communication and misunderstandings in romantic relationships are contributing factors to their deterioration. To address this, there is a need for support systems that allow individuals to safely and effectively improve their communication skills and receive appropriate advice without directly practicing with a real-life partner. Furthermore, the lack of systems that provide natural support within the living environment is also a significant challenge.

[0106] 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.

[0107] In this invention, the server includes means for receiving user input information and transmitting it to a data processing device; the data processing device analyzes the user input information, performs natural language processing on the text information, and extracts indicators and emotional states; and the data processing device compares the indicators and emotional states with an existing success story database and performs relationship state analysis. This makes it possible for users to receive advice to support their love life through voice dialogue in their living environment.

[0108] "User input information" refers to information such as text and audio that users send to the system through their devices.

[0109] A "data processing device" is a complete system of equipment, such as computers and servers, used to receive and analyze information sent by users.

[0110] "Text information" refers to data that represents information entered by a user in string format.

[0111] "Natural language processing" is the technology that allows computers to understand and analyze human language.

[0112] An "indicator" represents important keywords and characteristics extracted from text information.

[0113] "Emotional state" refers to the emotional situation or attitude inferred from the user's input information.

[0114] A "database of existing success stories" is a collection of information that records past successful communication cases.

[0115] "Relationship state analysis" is the process of evaluating the current state of the relationship between a user and another person based on indicators and emotional states.

[0116] "Advice" refers to suggestions or instructions generated by the system to help users communicate more effectively.

[0117] "Communication equipment" refers to terminals or devices owned by users that are used to communicate with data processing devices via the internet or a network.

[0118] A "simulated experience" is a virtual experience or practice that users engage in to prepare for actual situations.

[0119] A "virtual response" is a hypothetical response from an opponent generated by the system that a user experiences during a simulated scenario.

[0120] "Mechanical devices present in the user's living environment" refers to electronic devices installed in homes or living spaces that are designed to facilitate conversation and support with the user.

[0121] "Voice interaction" is a form of communication in which users exchange information with machine devices through their voice.

[0122] This invention provides a system to support communication in romantic relationships. Users input relationship-related questions and situations verbally or in text format using communication devices. This input information is sent to a data processing device (server). The server uses natural language processing technology for analysis to extract emotional states and indicators. This process utilizes specific natural language processing engines such as spaCy and Transformer models.

[0123] The server analyzes the relationship status by comparing emotional states and indicators with an existing database of success stories. Based on the results, it generates customized advice for the user and provides it to the user via communication devices. Users can also select simulated experiences, and the server generates and provides virtual responses based on the content of those experiences.

[0124] As a concrete example, suppose a user inputs a question into the system saying, "I've been talking to him less lately." In this case, the server generates advice such as, "Try to incorporate a common hobby to increase the frequency of conversations." In addition, it provides a virtual cafe conversation simulation, giving the user an opportunity to practice how to start a conversation.

[0125] By using a generative AI model, it is also possible to generate prompt messages tailored to the user. Examples of prompt messages are as follows:

[0126] "User: I've been talking to him less lately. What should I do?"

[0127] AI Model: "To start a conversation, it's a good idea to bring up a shared hobby. For example, how about trying a new sport together? Starting on the weekend is recommended."

[0128] In this way, users can receive real-time communication training and emotional support through a device that allows for voice interaction within their living environment. This makes it possible for users to effectively improve their skills for building better romantic relationships.

[0129] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0130] Step 1:

[0131] Users input consultation details and recent conversations as text or voice using communication devices. The input information is transmitted directly to the data processing unit. The data obtained from the input is text or voice data that represents the user's current situation.

[0132] Step 2:

[0133] The server analyzes the received data using a natural language processing engine (such as spaCy). During this process, the text information undergoes morphological analysis, and important indicators (keywords) and the user's emotional state are extracted. The input is the text information to be analyzed, and the output is the analyzed indicator and emotional state data.

[0134] Step 3:

[0135] The server compares the extracted metrics and emotional states with an existing success story database. Data processing here involves comparison and contrast of the extracted data. Based on this comparison, it evaluates the relationship states between users and generates analytical data for subsequent processes. The output is the evaluation result of the state analysis.

[0136] Step 4:

[0137] Based on the results of state analysis, the server generates optimized and customized advice for the user. This generation process uses an AI model to construct specific prompts tailored to the user's situation. The output is an advice message created specifically for the user.

[0138] Step 5:

[0139] The generated advice messages are sent to the communication device and presented to the user. The user uses this information to devise appropriate actions and dialogue strategies. The output is the advice content viewable by the user.

[0140] Step 6:

[0141] When a user selects a simulated experience, the server generates a virtual response based on that selection. Specifically, a virtual scenario is generated, and an AI model predicts several possible responses. The output is the virtual scenario and response patterns used in the user's simulated experience.

[0142] Step 7:

[0143] Based on the results of the simulated experience, the server generates feedback and provides it to the user via communication devices. This feedback includes areas for improvement and further suggestions. The output is a feedback message to the user.

[0144] 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.

[0145] This invention is a system that supports users' communication regarding romantic relationships. It uses an emotion engine to recognize the user's emotional state and, in combination with natural language processing technology, provides the user with highly accurate advice and simulations. The following describes a specific embodiment of this system.

[0146] The user first uses a terminal to access the system and inputs their relationship concerns and recent conversations in text format. This input information is sent from the terminal to the server. In the process of analyzing the received user input information, the server uses an emotion engine to recognize the user's emotional state.

[0147] The emotion engine extracts emotions from the input text and comprehensively analyzes the user's psychological state. Based on this analysis, the server uses natural language processing technology to extract relevant keywords and emotional states and proceeds with the analysis.

[0148] The server then compares the extracted data with a database of past success stories to evaluate and analyze the current relationships. Based on this evaluation, it generates advice for the user. The advice becomes more personalized by taking into account the results of the emotion engine's analysis.

[0149] The generated advice is sent from the server to the terminal, and the user can view the presented advice through the terminal. Furthermore, the user can select a specific simulation on the terminal, and the emotion engine generates an emotional response in real time based on the content of the selected simulation.

[0150] After the simulation runs, the server generates feedback based on user behavior data and feedback from the emotion engine, including areas for improvement and additional advice. This feedback is presented to the user via their device, and they can use it to improve their actual communication.

[0151] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion," and the server uses this to generate specific advice such as "First, try to create an environment where you can talk more comfortably." Furthermore, simulations provide practice in conversations that ease the atmosphere, helping users approach real-life situations with confidence.

[0152] The following describes the processing flow.

[0153] Step 1:

[0154] Users access the system via their device and input text about their relationship problems and recent interactions. This information is then sent from the device to the server.

[0155] Step 2:

[0156] The server activates the emotion engine to analyze the user's input information. The emotion engine extracts emotional states from the input text and determines the user's psychological state.

[0157] Step 3:

[0158] The server extracts keywords from text data using emotional state data obtained from the emotion engine and natural language processing techniques. This identifies the user's intent and important elements.

[0159] Step 4:

[0160] The server compares the extracted keywords and emotional states with a database of past success stories. This comparison identifies success stories in similar situations and evaluates the current relationship.

[0161] Step 5:

[0162] The server generates advice to provide to the user based on the above evaluation. The advice reflects the results of the sentiment engine and is tailored to the individual situation.

[0163] Step 6:

[0164] The server sends the generated advice to the terminal. The terminal displays this to the user, making it available for review.

[0165] Step 7:

[0166] The user uses the simulation function on their device to select a specific scenario (for example, a dating or conversation simulation).

[0167] Step 8:

[0168] The server generates virtual responses based on the selected simulation scenario. The emotion engine also operates in real time, adjusting emotional responses to user input.

[0169] Step 9:

[0170] After the simulation is complete, the server analyzes the user's behavioral data and emotional changes to generate feedback. This feedback includes advice on areas for improvement and next steps.

[0171] Step 10:

[0172] The server sends this feedback to the device, which then displays it to the user. The user can then use this information to improve their actual communication.

[0173] (Example 2)

[0174] 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".

[0175] Current technology presents challenges in recognizing an individual's emotions and relationship states and providing appropriate advice and feedback based on them. Furthermore, achieving personalized support utilizing past experiences and data is difficult. To improve this situation, there is a need for a system that can accurately grasp a user's emotional state and provide appropriate advice and simulations.

[0176] 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.

[0177] In this invention, the server includes means for receiving user input information and transmitting said user input information to an information processing device; the information processing device includes means for analyzing the user input information and extracting elements related to emotion by performing natural language processing on the text data; and the information processing device includes means for comparing the data with past success story information sources based on the elements related to emotion and evaluating the relationship situation. This enables the provision of personalized advice tailored to the user's emotions and situation, and feedback based on that advice.

[0178] "User input information" refers to information entered by the user via a terminal and sent to the server, primarily in text format, describing concerns and situations.

[0179] An "information processing device" is a device that analyzes received user input information, extracts emotional states, and compares them with past data, and functions as a server.

[0180] Natural language processing is a technique for extracting emotions and related elements from text data, and it is a method for efficiently processing information by analyzing language.

[0181] "Emotions" refer to the psychological state that a user exhibits, and the system extracts these from the context and nuances of their words.

[0182] "Related elements" refer to keywords and information necessary for analysis, along with emotional states, and form the basis for user advice and simulations.

[0183] "Past success story information sources" refer to a database of previously accumulated successful cases, and referring to this information provides clues for generating optimal advice.

[0184] "Relationship status" refers to the state of the relationship between the user and the other party, and this status is evaluated based on emotions and data.

[0185] A "display device" refers to a terminal or display used to present information transmitted from a server to a user, and is a device for the user to check advice and feedback.

[0186] A "simulated experience" is an experience where a server generates virtual responses for the user and provides them as a simulation, including scenarios to help the user prepare for real-world situations.

[0187] "Opinions" refer to suggestions and points for improvement generated by the information processing device based on the results of the simulated experience, providing users with useful insights to improve their communication.

[0188] This invention is a system designed to support users' communication regarding romantic relationships and interpersonal relationships. Using an emotion engine and natural language processing technology, it analyzes user input information and recognizes their emotional state to provide more appropriate advice and simulations.

[0189] First, the user accesses the system using a terminal and inputs their concerns and recent conversations in text format. This text input is sent from the terminal to the server. The server analyzes the received text information using an emotion engine to recognize the user's emotional state. The emotion engine is equipped with the latest generative AI model, enabling a multifaceted analysis of the user's psychological state.

[0190] Next, the server uses natural language processing technology to extract relevant keywords from the input text. Based on these keywords and emotional states, the server compares them with past success stories and evaluates the current relationship status. From this evaluation, the server generates advice for the user. This allows the user to receive personalized and specific advice sent from the server through their device.

[0191] Furthermore, users can select and run simulations on their devices. Once a simulation starts, the emotion engine generates the user's reactions in the simulated experience in real time. After the simulation ends, the server creates feedback based on the simulated experience results and provides it to the user via the device.

[0192] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." The server then generates advice such as, "First, try to create an environment where you can talk comfortably." Furthermore, using simulations, the user can practice conversations to create a more relaxed atmosphere, helping them to approach real-life situations with confidence.

[0193] An example of a prompt is, "My relationship with him is strained. How can I improve it?" This prompt prompt allows the system to provide advice tailored to the user's specific situation.

[0194] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0195] Step 1:

[0196] Users access the system using a device and input their relationship concerns and recent conversations in text format. The entered text is treated as information including the user's feelings and circumstances, and the device sends it to the server.

[0197] Step 2:

[0198] The server first obtains the received text as string data and then uses an emotion engine to analyze the emotions contained in the text. A generative AI model extracts specific emotions such as anxiety, joy, and confusion from the text. This analysis result is output as an emotional state.

[0199] Step 3:

[0200] The server uses natural language processing technology to identify important keywords from the analyzed text. The text data undergoes syntactic and morphological analysis to extract highly relevant keywords. The server then outputs the extracted keywords along with the sentiment state.

[0201] Step 4:

[0202] The server compares the extracted keywords and sentiment states with past success stories. Using the database, it searches for similar cases and evaluates the user's current relationship status. The server stores this evaluation result as data.

[0203] Step 5:

[0204] The server generates advice for the user based on the relationship assessment results. The advice generated by the AI ​​model includes personalized suggestions derived from the user's emotional state and past successes. This advice is output in text format and sent from the server to the terminal.

[0205] Step 6:

[0206] The terminal displays advice received from the server to the user. The user reviews the advice provided by the system through the terminal's screen. This process allows the user to visually receive personalized advice.

[0207] Step 7:

[0208] The user operates the terminal and selects a specific simulation from the presented options. The selected simulation details are sent from the terminal to the server. This information becomes the input data for running the simulation.

[0209] Step 8:

[0210] The server uses an emotion engine to generate virtual responses based on the received simulation data. It calculates emotional responses in real time, providing the user with a virtual experience. These results are recorded as simulation output data.

[0211] Step 9:

[0212] The server generates feedback for the user based on the simulation results. Considering the results of the emotion engine, it generates feedback that includes next steps and areas for improvement. This feedback is sent to the terminal in text format.

[0213] Step 10:

[0214] The device displays the submitted feedback to the user. The user can review the feedback through the device and use it to facilitate actual communication. This process helps encourage further improvement for the user.

[0215] (Application Example 2)

[0216] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0217] In modern society, there is a lack of systems that effectively support individuals' emotional and interpersonal relationship problems. In particular, there is a need for technology that provides personalized advice that users can easily access when dealing with relationship issues or seeking to improve relationships. There is also a growing demand for systems that enable emotional recognition and the simulation of specific conversations. Current technology makes it difficult to grasp users' emotions in detail and provide appropriate advice in real time based on past success stories; effectively addressing these issues is an urgent priority.

[0218] 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.

[0219] In this invention, the server includes means for receiving user input information and transmitting the information to a terminal; means for an information processing device to analyze emotions using natural language processing and extract keywords and emotional states; means for performing situation analysis by comparing with a past success case recording device and generating advice; and means for a device having voice input and visual display functions to grasp the emotional state through dialogue and provide a response in cooperation with the information processing device. As a result, the user can have their emotional state understood in detail, receive personalized advice in real time, and use the simulation of emotional dialogue to improve real-world relationships.

[0220] "User input information" refers to data such as text and audio that users provide to the system.

[0221] An "information processing device" is a computer system that receives and analyzes user input information.

[0222] "Natural language processing" is a technology that enables computers to understand, generate, and analyze human language.

[0223] "Emotional state" refers to information that indicates the psychological situation or mood extracted from the user's input.

[0224] A "past success story recording device" is a database that stores data on cases where problems were previously solved and uses it for comparison.

[0225] "Situation analysis" is a process of evaluating the user's problems and relationship status based on extracted keywords and emotional states.

[0226] "Advice" refers to guidance and suggestions provided by the system based on the user's situation.

[0227] The "voice input function" is a feature that recognizes the user's voice and inputs it into the system.

[0228] A "visual display function" is a function that visually presents information and results generated by the system to the user.

[0229] "Dialogue" is the process by which a user and a system exchange information using voice or text.

[0230] "Emotional dialogue simulation" is a technology that mimics real-world conversations to generate responses that correspond to the user's emotions.

[0231] In the system implementing this invention, the user first accesses the system using a terminal device and inputs their relationship problems or concerns in voice or text format. The terminal device is responsible for immediately transmitting the input information to the information processing device.

[0232] The information processing device uses advanced natural language processing techniques to analyze received user input information and extract emotional states. Specific natural language processing technologies such as Google® Cloud Natural Language API and spaCy are employed for this purpose. The extracted keywords and emotional states are then compared with data stored in a past success story recording device to analyze the user's current relationship status.

[0233] Based on the results of this situation analysis, the server utilizes a model called an emotion engine to generate advice tailored to the user. The generated advice is sent to the terminal and provided to the user through a visual display function. The terminal device is equipped with a display, allowing the user to intuitively view the generated advice.

[0234] Furthermore, users can select simulation content using a voice input function, and this selection is sent to the information processing device. The information processing device generates a virtual emotional response based on the simulation content. This virtual dialogue simulation provides an opportunity to practice improving interpersonal relationships, tailored to the user's specific problems.

[0235] For example, if a user inputs something like, "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." Based on this, the server generates specific advice such as, "First, try to create an environment where you can talk calmly." Furthermore, simulations can help users practice conversations, enabling them to gain confidence in real-life situations.

[0236] An example of a prompt using a generative AI model might be: "Tell us how you've been feeling about your partner lately. For example, if you type 'I feel like we've been seeing each other less lately,' we'll give you advice." This prompt makes it easier for users to provide more specific information to the system, and the response becomes more personalized.

[0237] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0238] Step 1:

[0239] The user uses a terminal device to input relationship-related worries and questions in voice or text format. The input information is provided by the system in the format required by prompts. This information serves as the initial input to the system.

[0240] Step 2:

[0241] The terminal transmits the input information received from the user to the information processing device. The transmitted data is formatted as text data and prepared for the next analysis step.

[0242] Step 3:

[0243] The information processing device analyzes the received input information using natural language processing technology. This process utilizes Google Cloud Natural Language API and spaCy to extract keywords and emotional states. At this stage, data processing is performed to identify the user's emotions and related themes from the input data.

[0244] Step 4:

[0245] The extracted keywords and emotional states are compared with data stored in a past success story recording device. The server then uses this data to perform a relationship analysis. This process selects case data that is relevant to the current user situation.

[0246] Step 5:

[0247] The server generates advice for the user based on the analysis results. This advice generation utilizes a generative AI model that incorporates an emotion engine and feedback from similar cases. The generated advice is personalized and tailored to the user's specific situation.

[0248] Step 6:

[0249] The advice generated by the server is sent to the terminal device. The terminal device presents the advice to the user using a visual display function. In this step, data is displayed so that the user can intuitively and quickly confirm the advice provided.

[0250] Step 7:

[0251] The user selects a simulation to implement the provided advice. They utilize voice input to determine the appropriate simulation content. This simulation content is then sent back to the information processing device, preparing it for virtual response generation.

[0252] Step 8:

[0253] The information processing device generates and provides a virtual dialogue simulation to the user based on the selected simulation. In this step, emotional responses are generated in real time in the form of a virtual dialogue. Through this simulation, the user can practice in a way that simulates real-world situations.

[0254] 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.

[0255] Data generation model 58 is a type of 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.

[0256] 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.

[0257] [Second Embodiment]

[0258] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0259] 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.

[0260] 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).

[0261] 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.

[0262] 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.

[0263] 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).

[0264] 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.

[0265] 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.

[0266] 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.

[0267] 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.

[0268] 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.

[0269] 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".

[0270] This invention is a system that supports communication in romantic relationships. Based on user input information, it uses natural language processing technology to analyze emotions and relationships, and provides appropriate advice and simulations. The following describes a specific embodiment of this system.

[0271] The user first accesses the system using a terminal and inputs their relationship problems and recent conversations as text. This input information is then sent from the terminal to the server.

[0272] The server analyzes the received user input information using natural language processing technology. In this analysis, the server extracts important keywords and emotional states from the text and uses this information to evaluate the relationship between the user and the other party.

[0273] Next, the server compares the current situation with a database containing past success stories and generates optimal advice tailored to the specific circumstances. This advice is designed to suit the user's situation and is sent from the server to the terminal for presentation to the user.

[0274] Furthermore, users can select specific simulations on their devices based on the advice provided. For example, they can choose a confession scenario and simulate a virtual conversation. The server calculates the virtual partner's reaction based on this selection, allowing the user to practice in a real-world situation.

[0275] After the simulation ends, the server analyzes the data obtained from the user's behavior and conversations and generates feedback that includes areas for improvement and additional advice. This feedback is displayed on the terminal, and the user can use it as a reference to improve their actual communication.

[0276] For example, if a user inputs "I've been talking to him less lately," the server will determine that "the frequency of communication needs to be restructured" and generate advice such as "you should create opportunities for conversation by incorporating common hobbies," and then allow the user to practice this through a virtual simulation. Through this practice, the user is helped to achieve better results in real-life romantic situations.

[0277] The following describes the processing flow.

[0278] Step 1:

[0279] The user accesses the system using a terminal and enters their love-related troubles and recent conversation content as text. This input is based on the user's subjective perception and is directly sent from the terminal to the server.

[0280] Step 2:

[0281] The server analyzes the input information of the user received from the terminal. Using natural language processing technology, the server extracts important keywords and emotional states from the input content and formalizes the text data.

[0282] Step 3:

[0283] The server matches the extracted keywords and emotional states against a database storing past successful cases. Through this matching, the server evaluates the current status of the relationship between the user and the other party and generates specific analysis results.

[0284] Step 4:

[0285] Based on the generated analysis results, the server creates optimal advice for the user. This advice is designed to suit the user's situation and the status of the relationship.

[0286] Step 5:

[0287] The server sends the generated advice to the terminal, and the terminal displays the advice to the user. The user can view this advice and consider the next action.

[0288] Step 6:

[0289] The user selects a specific simulation on the terminal. The simulation content can be selected from, for example, confession or date scenarios, etc., and the selected content is sent to the server through the terminal.

[0290] Step 7:

[0291] ]> The server generates virtual responses based on the user's selected simulation. The server is designed to allow the user to experience responses from a virtual opponent through the simulation scenario.

[0292] Step 8:

[0293] After the simulation ends, the server analyzes the user's actions and statements and generates feedback based on the data obtained. This feedback includes suggestions for improvement and additional practice, and is sent from the server to the terminal.

[0294] Step 9:

[0295] The device displays feedback sent from the server to the user. The user can review this feedback and use it to make improvements in real-world situations.

[0296] (Example 1)

[0297] 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."

[0298] In romantic relationships, the quality of communication is crucial for maintaining and improving the relationship. However, many people struggle to find appropriate communication methods that suit their emotions and circumstances. Furthermore, opportunities to accurately understand their own emotions and improve their behavior based on those understandings are limited. Therefore, there is a need for a system that allows users to receive advice tailored to their specific situations and practice effective communication.

[0299] 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.

[0300] In this invention, the server includes means having a device through which a user inputs information and transmits the information to the server, means having a device through which the server analyzes the input information and obtains keywords and an emotional state using natural language processing technology, and means having a device through which the server uses the obtained keywords and emotional state to collate with a past success database and method and perform a relational analysis. As a result, the user can receive appropriate advice based on their emotional state and relationships in real time, and communication can be improved through specific simulations.

[0301] The "user" refers to the entity that inputs information into the system and receives advice and simulations provided by the server.

[0302] The "terminal" refers to the device through which a user inputs information, transmits it to the server, and conversely receives advice from the server.

[0303] The "server" refers to the device that analyzes the input information of the user, generates advice and simulation results through natural language processing technology, and provides them to the user via the terminal. [[ID=I4]]

[0304] The "natural language processing technology" refers to the technology through which a computer understands human language, extracts meaning, and analyzes it.

[0305] The "keyword" refers to the words and phrases extracted to identify important information and themes from the user's input information.

[0306] The "emotional state" refers to the current psychological state of the user analyzed based on the user's input information.

[0307] The "database" refers to the information aggregate in which past successful cases and information necessary for advice generation are stored.

[0308] The "advice" refers to the specific guidelines and proposals provided by the server to the user for the purpose of problem-solving and relationship improvement.

[0309] "Simulation" refers to a system that enables users to improve their communication in real-world situations through training and practice conducted in hypothetical scenarios.

[0310] "Feedback" refers to information generated based on user behavior and simulation results, including suggestions for improvement and additional advice.

[0311] This invention is a specific embodiment of a system for supporting users' communication in romantic relationships.

[0312] Users first access the system using a terminal. This system is accessible through a standard web browser, and digital devices such as PCs and smartphones can be used as terminals. Users can input their relationship problems and recent conversations in text format. Specifically, they use a text input field located on the terminal screen. For example, they might enter a prompt such as, "We've been talking less lately. What should I do?"

[0313] The terminal sends user input information to the server. The HTTPS protocol is used for secure communication over the internet during transmission.

[0314] The server uses natural language processing (NLP) techniques to analyze the received input information. Software used for this includes NLP open-source libraries such as "spaCy" and "NLTK." The server uses these tools to extract emotional states and keywords from the input text, generating data to evaluate the relationship between the user and the other party.

[0315] After analysis, the server compares the extracted data with a database containing past success stories. This matching process is performed using a relational database management system (RDBMS), etc. The data is then matched with accumulated performance information to generate advice best suited to the user's situation.

[0316] The generated advice is sent from the server to the terminal and presented to the user visually. Based on the advice presented, the user can select a specific simulation on the terminal. For example, they can choose a simulation scenario such as "When confessing your feelings, be honest about your emotions" and practice a virtual conversation using the system.

[0317] After the simulation ends, the server generates feedback based on the user's behavior data. This feedback is provided to the user's device, and the user can use it as a reference in actual communication. Therefore, throughout the entire system, the user can improve their communication skills related to romance.

[0318] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0319] Step 1:

[0320] The user accesses the system through their device and enters their relationship problems in text format. They enter a prompt such as "We've been talking less lately. What should I do?" into the input field and press the submit button. The entered text data is sent from the device to the server for processing in the next step.

[0321] Step 2:

[0322] The server receives text data sent by the user. The received data is passed to a natural language processing engine to begin text analysis. This process uses NLP libraries such as "spaCy" to extract keywords and emotional states from the input text. For data processing, morphological analysis is performed, and the user's emotions and state are quantified based on the extracted information. The output consists of the emotional state and the main keywords of the text.

[0323] Step 3:

[0324] The server uses the emotional state and keywords obtained in the previous step to compare them with a database containing past success stories. It uses a relational database system to search for similar cases. This matching process finds history that matches the emotional state and keywords obtained in the input and retrieves corresponding success stories. The output is data that can serve as a candidate for specific advice tailored to the user's situation.

[0325] Step 4:

[0326] The server generates advice for users based on success stories retrieved from the database. It utilizes a generative AI model to construct text that integrates best practices. Data processing involves assembling situation-appropriate advice from selected success stories. The final output is specific and actionable advice for the user.

[0327] Step 5:

[0328] The server sends the generated advice to the terminal. The terminal receives this data and displays the advice on the user's screen. The user can read the advice and gain guidance to improve their situation. The output is specific advice presented visually to the user.

[0329] Step 6:

[0330] Based on the advice provided, the user chooses to start a simulation on their device. For example, by selecting "Confession Simulation," they can experience a virtual conversation. The user's selection is sent to the server, which requests data for the simulation. The output is the settings and scenarios necessary for the simulation the user will perform.

[0331] Step 7:

[0332] The server generates virtual conversations and situations based on user selections and calculates real-time responses. The generated content includes virtual responses built by an AI model, ready to provide practical feedback to the user. The output is the reactions and feedback during the simulation.

[0333] Step 8:

[0334] After the simulation ends, the server evaluates the user's behavior and generates feedback. Based on the analysis results, it incorporates areas for improvement and advice for the next time, and sends it to the user's device. The feedback output specifically highlights the user's strengths and weaknesses. The user can use this information to improve future communication.

[0335] (Application Example 1)

[0336] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0337] In modern society, a lack of communication and misunderstandings in romantic relationships are contributing factors to their deterioration. To address this, there is a need for support systems that allow individuals to safely and effectively improve their communication skills and receive appropriate advice without directly practicing with a real-life partner. Furthermore, the lack of systems that provide natural support within the living environment is also a significant challenge.

[0338] 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.

[0339] In this invention, the server includes means for receiving user input information and transmitting it to a data processing device; the data processing device analyzes the user input information, performs natural language processing on the text information, and extracts indicators and emotional states; and the data processing device compares the indicators and emotional states with an existing success story database and performs relationship state analysis. This makes it possible for users to receive advice to support their love life through voice dialogue in their living environment.

[0340] "User input information" refers to information such as text and audio that users send to the system through their devices.

[0341] A "data processing device" is a complete system of equipment, such as computers and servers, used to receive and analyze information sent by users.

[0342] "Text information" refers to data that represents information entered by a user in string format.

[0343] "Natural language processing" is the technology that allows computers to understand and analyze human language.

[0344] An "indicator" represents important keywords and characteristics extracted from text information.

[0345] "Emotional state" refers to the emotional situation or attitude inferred from the user's input information.

[0346] A "database of existing success stories" is a collection of information that records past successful communication cases.

[0347] "Relationship state analysis" is the process of evaluating the current state of the relationship between a user and another person based on indicators and emotional states.

[0348] "Advice" refers to suggestions or instructions generated by the system to help users communicate more effectively.

[0349] "Communication equipment" refers to terminals or devices owned by users that are used to communicate with data processing devices via the internet or a network.

[0350] A "simulated experience" is a virtual experience or practice that users engage in to prepare for actual situations.

[0351] A "virtual response" is a hypothetical response from an opponent generated by the system that a user experiences during a simulated scenario.

[0352] "Mechanical devices present in the user's living environment" refers to electronic devices installed in homes or living spaces that are designed to facilitate conversation and support with the user.

[0353] "Voice interaction" is a form of communication in which users exchange information with machine devices through their voice.

[0354] This invention provides a system to support communication in romantic relationships. Users input relationship-related questions and situations verbally or in text format using communication devices. This input information is sent to a data processing device (server). The server uses natural language processing technology for analysis to extract emotional states and indicators. This process utilizes specific natural language processing engines such as spaCy and Transformer models.

[0355] The server analyzes the relationship status by comparing emotional states and indicators with an existing database of success stories. Based on the results, it generates customized advice for the user and provides it to the user via communication devices. Users can also select simulated experiences, and the server generates and provides virtual responses based on the content of those experiences.

[0356] As a concrete example, suppose a user inputs a question into the system saying, "I've been talking to him less lately." In this case, the server generates advice such as, "Try to incorporate a common hobby to increase the frequency of conversations." In addition, it provides a virtual cafe conversation simulation, giving the user an opportunity to practice how to start a conversation.

[0357] By using a generative AI model, it is also possible to generate prompt messages tailored to the user. Examples of prompt messages are as follows:

[0358] "User: I've been talking to him less lately. What should I do?"

[0359] AI Model: "To start a conversation, it's a good idea to bring up a shared hobby. For example, how about trying a new sport together? Starting on the weekend is recommended."

[0360] In this way, users can receive real-time communication training and emotional support through a device that allows for voice interaction within their living environment. This makes it possible for users to effectively improve their skills for building better romantic relationships.

[0361] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0362] Step 1:

[0363] Users input consultation details and recent conversations as text or voice using communication devices. The input information is transmitted directly to the data processing unit. The data obtained from the input is text or voice data that represents the user's current situation.

[0364] Step 2:

[0365] The server analyzes the received data using a natural language processing engine (such as spaCy). During this process, the text information undergoes morphological analysis, and important indicators (keywords) and the user's emotional state are extracted. The input is the text information to be analyzed, and the output is the analyzed indicator and emotional state data.

[0366] Step 3:

[0367] The server compares the extracted metrics and emotional states with an existing success story database. Data processing here involves comparison and contrast of the extracted data. Based on this comparison, it evaluates the relationship states between users and generates analytical data for subsequent processes. The output is the evaluation result of the state analysis.

[0368] Step 4:

[0369] Based on the results of state analysis, the server generates optimized and customized advice for the user. This generation process uses an AI model to construct specific prompts tailored to the user's situation. The output is an advice message created specifically for the user.

[0370] Step 5:

[0371] The generated advice messages are sent to the communication device and presented to the user. The user uses this information to devise appropriate actions and dialogue strategies. The output is the advice content viewable by the user.

[0372] Step 6:

[0373] When a user selects a simulated experience, the server generates a virtual response based on that selection. Specifically, a virtual scenario is generated, and an AI model predicts several possible responses. The output is the virtual scenario and response patterns used in the user's simulated experience.

[0374] Step 7:

[0375] Based on the results of the simulated experience, the server generates feedback and provides it to the user via communication devices. This feedback includes areas for improvement and further suggestions. The output is a feedback message to the user.

[0376] 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.

[0377] This invention is a system that supports users' communication regarding romantic relationships. It uses an emotion engine to recognize the user's emotional state and, in combination with natural language processing technology, provides the user with highly accurate advice and simulations. The following describes a specific embodiment of this system.

[0378] The user first uses a terminal to access the system and inputs their relationship concerns and recent conversations in text format. This input information is sent from the terminal to the server. In the process of analyzing the received user input information, the server uses an emotion engine to recognize the user's emotional state.

[0379] The emotion engine extracts emotions from the input text and comprehensively analyzes the user's psychological state. Based on this analysis, the server uses natural language processing technology to extract relevant keywords and emotional states and proceeds with the analysis.

[0380] The server then compares the extracted data with a database of past success stories to evaluate and analyze the current relationships. Based on this evaluation, it generates advice for the user. The advice becomes more personalized by taking into account the results of the emotion engine's analysis.

[0381] The generated advice is sent from the server to the terminal, and the user can view the presented advice through the terminal. Furthermore, the user can select a specific simulation on the terminal, and the emotion engine generates an emotional response in real time based on the content of the selected simulation.

[0382] After the simulation runs, the server generates feedback based on user behavior data and feedback from the emotion engine, including areas for improvement and additional advice. This feedback is presented to the user via their device, and they can use it to improve their actual communication.

[0383] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion," and the server uses this to generate specific advice such as "First, try to create an environment where you can talk more comfortably." Furthermore, simulations provide practice in conversations that ease the atmosphere, helping users approach real-life situations with confidence.

[0384] The following describes the processing flow.

[0385] Step 1:

[0386] Users access the system via their device and input text about their relationship problems and recent interactions. This information is then sent from the device to the server.

[0387] Step 2:

[0388] The server activates the emotion engine to analyze the user's input information. The emotion engine extracts emotional states from the input text and determines the user's psychological state.

[0389] Step 3:

[0390] The server extracts keywords from text data using emotional state data obtained from the emotion engine and natural language processing techniques. This identifies the user's intent and important elements.

[0391] Step 4:

[0392] The server compares the extracted keywords and emotional states with a database of past success stories. This comparison identifies success stories in similar situations and evaluates the current relationship.

[0393] Step 5:

[0394] The server generates advice to provide to the user based on the above evaluation. The advice reflects the results of the sentiment engine and is tailored to the individual situation.

[0395] Step 6:

[0396] The server sends the generated advice to the terminal. The terminal displays this to the user, making it available for review.

[0397] Step 7:

[0398] The user uses the simulation function on their device to select a specific scenario (for example, a dating or conversation simulation).

[0399] Step 8:

[0400] The server generates virtual responses based on the selected simulation scenario. The emotion engine also operates in real time, adjusting emotional responses to user input.

[0401] Step 9:

[0402] After the simulation is complete, the server analyzes the user's behavioral data and emotional changes to generate feedback. This feedback includes advice on areas for improvement and next steps.

[0403] Step 10:

[0404] The server sends this feedback to the device, which then displays it to the user. The user can then use this information to improve their actual communication.

[0405] (Example 2)

[0406] 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".

[0407] Current technology presents challenges in recognizing an individual's emotions and relationship states and providing appropriate advice and feedback based on them. Furthermore, achieving personalized support utilizing past experiences and data is difficult. To improve this situation, there is a need for a system that can accurately grasp a user's emotional state and provide appropriate advice and simulations.

[0408] 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.

[0409] In this invention, the server includes means for receiving user input information and transmitting said user input information to an information processing device; the information processing device includes means for analyzing the user input information and extracting elements related to emotion by performing natural language processing on the text data; and the information processing device includes means for comparing the data with past success story information sources based on the elements related to emotion and evaluating the relationship situation. This enables the provision of personalized advice tailored to the user's emotions and situation, and feedback based on that advice.

[0410] "User input information" refers to information entered by the user via a terminal and sent to the server, primarily in text format, describing concerns and situations.

[0411] An "information processing device" is a device that analyzes received user input information, extracts emotional states, and compares them with past data, and functions as a server.

[0412] Natural language processing is a technique for extracting emotions and related elements from text data, and it is a method for efficiently processing information by analyzing language.

[0413] "Emotions" refer to the psychological state that a user exhibits, and the system extracts these from the context and nuances of their words.

[0414] "Related elements" refer to keywords and information necessary for analysis, along with emotional states, and form the basis for user advice and simulations.

[0415] "Past success story information sources" refer to a database of previously accumulated successful cases, and referring to this information provides clues for generating optimal advice.

[0416] "Relationship status" refers to the state of the relationship between the user and the other party, and this status is evaluated based on emotions and data.

[0417] A "display device" refers to a terminal or display used to present information transmitted from a server to a user, and is a device for the user to check advice and feedback.

[0418] A "simulated experience" is an experience where a server generates virtual responses for the user and provides them as a simulation, including scenarios to help the user prepare for real-world situations.

[0419] "Opinions" refer to suggestions and points for improvement generated by the information processing device based on the results of the simulated experience, providing users with useful insights to improve their communication.

[0420] This invention is a system designed to support users' communication regarding romantic relationships and interpersonal relationships. Using an emotion engine and natural language processing technology, it analyzes user input information and recognizes their emotional state to provide more appropriate advice and simulations.

[0421] First, the user accesses the system using a terminal and inputs their concerns and recent conversations in text format. This text input is sent from the terminal to the server. The server analyzes the received text information using an emotion engine to recognize the user's emotional state. The emotion engine is equipped with the latest generative AI model, enabling a multifaceted analysis of the user's psychological state.

[0422] Next, the server uses natural language processing technology to extract relevant keywords from the input text. Based on these keywords and emotional states, the server compares them with past success stories and evaluates the current relationship status. From this evaluation, the server generates advice for the user. This allows the user to receive personalized and specific advice sent from the server through their device.

[0423] Furthermore, users can select and run simulations on their devices. Once a simulation starts, the emotion engine generates the user's reactions in the simulated experience in real time. After the simulation ends, the server creates feedback based on the simulated experience results and provides it to the user via the device.

[0424] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." The server then generates advice such as, "First, try to create an environment where you can talk comfortably." Furthermore, using simulations, the user can practice conversations to create a more relaxed atmosphere, helping them to approach real-life situations with confidence.

[0425] An example of a prompt is, "My relationship with him is strained. How can I improve it?" This prompt prompt allows the system to provide advice tailored to the user's specific situation.

[0426] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0427] Step 1:

[0428] Users access the system using a device and input their relationship concerns and recent conversations in text format. The entered text is treated as information including the user's feelings and circumstances, and the device sends it to the server.

[0429] Step 2:

[0430] The server first obtains the received text as string data and then uses an emotion engine to analyze the emotions contained in the text. A generative AI model extracts specific emotions such as anxiety, joy, and confusion from the text. This analysis result is output as an emotional state.

[0431] Step 3:

[0432] The server uses natural language processing technology to identify important keywords from the analyzed text. The text data undergoes syntactic and morphological analysis to extract highly relevant keywords. The server then outputs the extracted keywords along with the sentiment state.

[0433] Step 4:

[0434] The server compares the extracted keywords and sentiment states with past success stories. Using the database, it searches for similar cases and evaluates the user's current relationship status. The server stores this evaluation result as data.

[0435] Step 5:

[0436] The server generates advice for the user based on the relationship assessment results. The advice generated by the AI ​​model includes personalized suggestions derived from the user's emotional state and past successes. This advice is output in text format and sent from the server to the terminal.

[0437] Step 6:

[0438] The terminal displays advice received from the server to the user. The user reviews the advice provided by the system through the terminal's screen. This process allows the user to visually receive personalized advice.

[0439] Step 7:

[0440] The user operates the terminal and selects a specific simulation from the presented options. The selected simulation details are sent from the terminal to the server. This information becomes the input data for running the simulation.

[0441] Step 8:

[0442] The server uses an emotion engine to generate virtual responses based on the received simulation data. It calculates emotional responses in real time, providing the user with a virtual experience. These results are recorded as simulation output data.

[0443] Step 9:

[0444] The server generates feedback for the user based on the simulation results. Considering the results of the emotion engine, it generates feedback that includes next steps and areas for improvement. This feedback is sent to the terminal in text format.

[0445] Step 10:

[0446] The device displays the submitted feedback to the user. The user can review the feedback through the device and use it to facilitate actual communication. This process helps encourage further improvement for the user.

[0447] (Application Example 2)

[0448] 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."

[0449] In modern society, there is a lack of systems that effectively support individuals' emotional and interpersonal relationship problems. In particular, there is a need for technology that provides personalized advice that users can easily access when dealing with relationship issues or seeking to improve relationships. There is also a growing demand for systems that enable emotional recognition and the simulation of specific conversations. Current technology makes it difficult to grasp users' emotions in detail and provide appropriate advice in real time based on past success stories; effectively addressing these issues is an urgent priority.

[0450] 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.

[0451] In this invention, the server includes means for receiving user input information and transmitting the information to a terminal; means for an information processing device to analyze emotions using natural language processing and extract keywords and emotional states; means for performing situation analysis by comparing with a past success case recording device and generating advice; and means for a device having voice input and visual display functions to grasp the emotional state through dialogue and provide a response in cooperation with the information processing device. As a result, the user can have their emotional state understood in detail, receive personalized advice in real time, and use the simulation of emotional dialogue to improve real-world relationships.

[0452] "User input information" refers to data such as text and audio that users provide to the system.

[0453] An "information processing device" is a computer system that receives and analyzes user input information.

[0454] "Natural language processing" is a technology that enables computers to understand, generate, and analyze human language.

[0455] "Emotional state" refers to information that indicates the psychological situation or mood extracted from the user's input.

[0456] A "past success story recording device" is a database that stores data on cases where problems were previously solved and uses it for comparison.

[0457] "Situation analysis" is a process of evaluating the user's problems and relationship status based on extracted keywords and emotional states.

[0458] "Advice" refers to guidance and suggestions provided by the system based on the user's situation.

[0459] The "voice input function" is a feature that recognizes the user's voice and inputs it into the system.

[0460] A "visual display function" is a function that visually presents information and results generated by the system to the user.

[0461] "Dialogue" is the process by which a user and a system exchange information using voice or text.

[0462] "Emotional dialogue simulation" is a technology that mimics real-world conversations to generate responses that correspond to the user's emotions.

[0463] In the system implementing this invention, the user first accesses the system using a terminal device and inputs their relationship problems or concerns in voice or text format. The terminal device is responsible for immediately transmitting the input information to the information processing device.

[0464] The information processing device uses advanced natural language processing techniques to analyze received user input information and extract emotional states. Specific natural language processing technologies such as Google Cloud Natural Language API and spaCy are employed for this purpose. The extracted keywords and emotional states are then compared with data stored in a past success story recording device to analyze the user's current relationship status.

[0465] Based on the results of this situation analysis, the server utilizes a model called an emotion engine to generate advice tailored to the user. The generated advice is sent to the terminal and provided to the user through a visual display function. The terminal device is equipped with a display, allowing the user to intuitively view the generated advice.

[0466] Furthermore, users can select simulation content using a voice input function, and this selection is sent to the information processing device. The information processing device generates a virtual emotional response based on the simulation content. This virtual dialogue simulation provides an opportunity to practice improving interpersonal relationships, tailored to the user's specific problems.

[0467] For example, if a user inputs something like, "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." Based on this, the server generates specific advice such as, "First, try to create an environment where you can talk calmly." Furthermore, simulations can help users practice conversations, enabling them to gain confidence in real-life situations.

[0468] An example of a prompt using a generative AI model might be: "Tell us how you've been feeling about your partner lately. For example, if you type 'I feel like we've been seeing each other less lately,' we'll give you advice." This prompt makes it easier for users to provide more specific information to the system, and the response becomes more personalized.

[0469] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0470] Step 1:

[0471] The user uses a terminal device to input relationship-related worries and questions in voice or text format. The input information is provided by the system in the format required by prompts. This information serves as the initial input to the system.

[0472] Step 2:

[0473] The terminal transmits the input information received from the user to the information processing device. The transmitted data is formatted as text data and prepared for the next analysis step.

[0474] Step 3:

[0475] The information processing device analyzes the received input information using natural language processing technology. This process utilizes Google Cloud Natural Language API and spaCy to extract keywords and emotional states. At this stage, data processing is performed to identify the user's emotions and related themes from the input data.

[0476] Step 4:

[0477] The extracted keywords and emotional states are compared with data stored in a past success story recording device. The server then uses this data to perform a relationship analysis. This process selects case data that is relevant to the current user situation.

[0478] Step 5:

[0479] The server generates advice for the user based on the analysis results. This advice generation utilizes a generative AI model that incorporates an emotion engine and feedback from similar cases. The generated advice is personalized and tailored to the user's specific situation.

[0480] Step 6:

[0481] The advice generated by the server is sent to the terminal device. The terminal device presents the advice to the user using a visual display function. In this step, data is displayed so that the user can intuitively and quickly confirm the advice provided.

[0482] Step 7:

[0483] The user selects a simulation to implement the provided advice. They utilize voice input to determine the appropriate simulation content. This simulation content is then sent back to the information processing device, preparing it for virtual response generation.

[0484] Step 8:

[0485] The information processing device generates and provides a virtual dialogue simulation to the user based on the selected simulation. In this step, emotional responses are generated in real time in the form of a virtual dialogue. Through this simulation, the user can practice in a way that simulates real-world situations.

[0486] 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.

[0487] 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.

[0488] 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.

[0489] [Third Embodiment]

[0490] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0491] 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.

[0492] 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).

[0493] 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.

[0494] 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.

[0495] 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).

[0496] 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.

[0497] 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.

[0498] 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.

[0499] 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.

[0500] 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.

[0501] 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".

[0502] This invention is a system that supports communication in romantic relationships. Based on user input information, it uses natural language processing technology to analyze emotions and relationships, and provides appropriate advice and simulations. The following describes a specific embodiment of this system.

[0503] The user first accesses the system using a terminal and inputs their relationship problems and recent conversations as text. This input information is then sent from the terminal to the server.

[0504] The server analyzes the received user input information using natural language processing technology. In this analysis, the server extracts important keywords and emotional states from the text and uses this information to evaluate the relationship between the user and the other party.

[0505] Next, the server compares the current situation with a database containing past success stories and generates optimal advice tailored to the specific circumstances. This advice is designed to suit the user's situation and is sent from the server to the terminal for presentation to the user.

[0506] Furthermore, users can select specific simulations on their devices based on the advice provided. For example, they can choose a confession scenario and simulate a virtual conversation. The server calculates the virtual partner's reaction based on this selection, allowing the user to practice in a real-world situation.

[0507] After the simulation ends, the server analyzes the data obtained from the user's behavior and conversations and generates feedback that includes areas for improvement and additional advice. This feedback is displayed on the terminal, and the user can use it as a reference to improve their actual communication.

[0508] For example, if a user inputs "I've been talking to him less lately," the server will determine that "the frequency of communication needs to be restructured" and generate advice such as "you should create opportunities for conversation by incorporating common hobbies," and then allow the user to practice this through a virtual simulation. Through this practice, the user is helped to achieve better results in real-life romantic situations.

[0509] The following describes the processing flow.

[0510] Step 1:

[0511] Users access the system using their devices and input text about their relationship problems and recent conversations. This input is based on the user's subjective experience and is sent directly from the device to the server.

[0512] Step 2:

[0513] The server analyzes the user's input information received from the terminal. Using natural language processing techniques, the server extracts important keywords and emotional states from the input and formats the text data.

[0514] Step 3:

[0515] The server compares the extracted keywords and emotional states with a database containing past success stories. This comparison allows the server to evaluate the current state of the relationship between the user and the other party and generate specific analysis results.

[0516] Step 4:

[0517] The server generates optimal advice for the user based on the analysis results. This advice is designed to suit the user's situation and relationship status.

[0518] Step 5:

[0519] The server sends the generated advice to the terminal, which then displays the advice to the user. The user can review this advice and consider their next course of action.

[0520] Step 6:

[0521] The user selects a specific simulation on their device. The simulation content can be chosen from options such as a confession or a dating scenario, and the selected content is sent to the server via the device.

[0522] Step 7:

[0523] The server generates virtual responses based on the user's selected simulation. The server is designed to allow the user to experience responses from a virtual opponent through the simulation scenario.

[0524] Step 8:

[0525] After the simulation ends, the server analyzes the user's actions and statements and generates feedback based on the data obtained. This feedback includes suggestions for improvement and additional practice, and is sent from the server to the terminal.

[0526] Step 9:

[0527] The device displays feedback sent from the server to the user. The user can review this feedback and use it to make improvements in real-world situations.

[0528] (Example 1)

[0529] 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."

[0530] In romantic relationships, the quality of communication is crucial for maintaining and improving the relationship. However, many people struggle to find appropriate communication methods that suit their emotions and circumstances. Furthermore, opportunities to accurately understand their own emotions and improve their behavior based on those understandings are limited. Therefore, there is a need for a system that allows users to receive advice tailored to their specific situations and practice effective communication.

[0531] 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.

[0532] In this invention, the server includes means having a device for a user to input information and transmit said information to the server; means having a device for the server to analyze the input information and acquire keywords and emotional states using natural language processing technology; and means having a device for the server to use the acquired keywords and emotional states to compare them with a past success database and methods and perform relationship analysis. As a result, the user can receive appropriate advice in real time based on their own emotional state and relationships, and improve their communication through concrete simulations.

[0533] A "user" refers to an entity that inputs information into a system and receives advice and simulations provided by the server.

[0534] A "terminal" refers to a device used by users to input information, send it to a server, and receive advice from the server in return.

[0535] A "server" refers to a device that analyzes user input information, generates advice and simulation results through natural language processing technology, and provides them to the user via a terminal.

[0536] "Natural language processing technology" refers to the technology that enables computers to understand human language, extract meaning, and analyze it.

[0537] "Keywords" refer to words or phrases extracted from user input to identify important information or themes.

[0538] "Emotional state" refers to the user's current psychological state, analyzed based on the user's input information.

[0539] A "database" refers to a collection of information that stores past success stories and information necessary for generating advice.

[0540] "Advice" refers to specific guidelines or suggestions that a server provides to a user, aimed at solving problems or improving the relationship.

[0541] "Simulation" refers to a system that enables users to improve their communication in real-world situations through training and practice conducted in hypothetical scenarios.

[0542] "Feedback" refers to information generated based on user behavior and simulation results, including suggestions for improvement and additional advice.

[0543] This invention is a specific embodiment of a system for supporting users' communication in romantic relationships.

[0544] Users first access the system using a terminal. This system is accessible through a standard web browser, and digital devices such as PCs and smartphones can be used as terminals. Users can input their relationship problems and recent conversations in text format. Specifically, they use a text input field located on the terminal screen. For example, they might enter a prompt such as, "We've been talking less lately. What should I do?"

[0545] The terminal sends user input information to the server. The HTTPS protocol is used for secure communication over the internet during transmission.

[0546] The server uses natural language processing (NLP) techniques to analyze the received input information. Software used for this includes NLP open-source libraries such as "spaCy" and "NLTK." The server uses these tools to extract emotional states and keywords from the input text, generating data to evaluate the relationship between the user and the other party.

[0547] After analysis, the server compares the extracted data with a database containing past success stories. This matching process is performed using a relational database management system (RDBMS), etc. The data is then matched with accumulated performance information to generate advice best suited to the user's situation.

[0548] The generated advice is sent from the server to the terminal and presented to the user visually. Based on the advice presented, the user can select a specific simulation on the terminal. For example, they can choose a simulation scenario such as "When confessing your feelings, be honest about your emotions" and practice a virtual conversation using the system.

[0549] After the simulation ends, the server generates feedback based on the user's behavior data. This feedback is provided to the user's device, and the user can use it as a reference in actual communication. Therefore, throughout the entire system, the user can improve their communication skills related to romance.

[0550] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0551] Step 1:

[0552] The user accesses the system through their device and enters their relationship problems in text format. They enter a prompt such as "We've been talking less lately. What should I do?" into the input field and press the submit button. The entered text data is sent from the device to the server for processing in the next step.

[0553] Step 2:

[0554] The server receives text data sent by the user. The received data is passed to a natural language processing engine to begin text analysis. This process uses NLP libraries such as "spaCy" to extract keywords and emotional states from the input text. For data processing, morphological analysis is performed, and the user's emotions and state are quantified based on the extracted information. The output consists of the emotional state and the main keywords of the text.

[0555] Step 3:

[0556] The server uses the emotional state and keywords obtained in the previous step to compare them with a database containing past success stories. It uses a relational database system to search for similar cases. This matching process finds history that matches the emotional state and keywords obtained in the input and retrieves corresponding success stories. The output is data that can serve as a candidate for specific advice tailored to the user's situation.

[0557] Step 4:

[0558] The server generates advice for users based on success stories retrieved from the database. It utilizes a generative AI model to construct text that integrates best practices. Data processing involves assembling situation-appropriate advice from selected success stories. The final output is specific and actionable advice for the user.

[0559] Step 5:

[0560] The server sends the generated advice to the terminal. The terminal receives this data and displays the advice on the user's screen. The user can read the advice and gain guidance to improve their situation. The output is specific advice presented visually to the user.

[0561] Step 6:

[0562] Based on the advice provided, the user chooses to start a simulation on their device. For example, by selecting "Confession Simulation," they can experience a virtual conversation. The user's selection is sent to the server, which requests data for the simulation. The output is the settings and scenarios necessary for the simulation the user will perform.

[0563] Step 7:

[0564] The server generates virtual conversations and situations based on user selections and calculates real-time responses. The generated content includes virtual responses built by an AI model, ready to provide practical feedback to the user. The output is the reactions and feedback during the simulation.

[0565] Step 8:

[0566] After the simulation ends, the server evaluates the user's behavior and generates feedback. Based on the analysis results, it incorporates areas for improvement and advice for the next time, and sends it to the user's device. The feedback output specifically highlights the user's strengths and weaknesses. The user can use this information to improve future communication.

[0567] (Application Example 1)

[0568] 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."

[0569] In modern society, a lack of communication and misunderstandings in romantic relationships are contributing factors to their deterioration. To address this, there is a need for support systems that allow individuals to safely and effectively improve their communication skills and receive appropriate advice without directly practicing with a real-life partner. Furthermore, the lack of systems that provide natural support within the living environment is also a significant challenge.

[0570] 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.

[0571] In this invention, the server includes means for receiving user input information and transmitting it to a data processing device; the data processing device analyzes the user input information, performs natural language processing on the text information, and extracts indicators and emotional states; and the data processing device compares the indicators and emotional states with an existing success story database and performs relationship state analysis. This makes it possible for users to receive advice to support their love life through voice dialogue in their living environment.

[0572] "User input information" refers to information such as text and audio that users send to the system through their devices.

[0573] A "data processing device" is a complete system of equipment, such as computers and servers, used to receive and analyze information sent by users.

[0574] "Text information" refers to data that represents information entered by a user in string format.

[0575] "Natural language processing" is the technology that allows computers to understand and analyze human language.

[0576] An "indicator" represents important keywords and characteristics extracted from text information.

[0577] "Emotional state" refers to the emotional situation or attitude inferred from the user's input information.

[0578] A "database of existing success stories" is a collection of information that records past successful communication cases.

[0579] "Relationship state analysis" is the process of evaluating the current state of the relationship between a user and another person based on indicators and emotional states.

[0580] "Advice" refers to suggestions or instructions generated by the system to help users communicate more effectively.

[0581] "Communication equipment" refers to terminals or devices owned by users that are used to communicate with data processing devices via the internet or a network.

[0582] A "simulated experience" is a virtual experience or practice that users engage in to prepare for actual situations.

[0583] A "virtual response" is a hypothetical response from an opponent generated by the system that a user experiences during a simulated scenario.

[0584] "Mechanical devices present in the user's living environment" refers to electronic devices installed in homes or living spaces that are designed to facilitate conversation and support with the user.

[0585] "Voice interaction" is a form of communication in which users exchange information with machine devices through their voice.

[0586] This invention provides a system to support communication in romantic relationships. Users input relationship-related questions and situations verbally or in text format using communication devices. This input information is sent to a data processing device (server). The server uses natural language processing technology for analysis to extract emotional states and indicators. This process utilizes specific natural language processing engines such as spaCy and Transformer models.

[0587] The server analyzes the relationship status by comparing emotional states and indicators with an existing database of success stories. Based on the results, it generates customized advice for the user and provides it to the user via communication devices. Users can also select simulated experiences, and the server generates and provides virtual responses based on the content of those experiences.

[0588] As a concrete example, suppose a user inputs a question into the system saying, "I've been talking to him less lately." In this case, the server generates advice such as, "Try to incorporate a common hobby to increase the frequency of conversations." In addition, it provides a virtual cafe conversation simulation, giving the user an opportunity to practice how to start a conversation.

[0589] By using a generative AI model, it is also possible to generate prompt messages tailored to the user. Examples of prompt messages are as follows:

[0590] "User: I've been talking to him less lately. What should I do?"

[0591] AI Model: "To start a conversation, it's a good idea to bring up a shared hobby. For example, how about trying a new sport together? Starting on the weekend is recommended."

[0592] In this way, users can receive real-time communication training and emotional support through a device that allows for voice interaction within their living environment. This makes it possible for users to effectively improve their skills for building better romantic relationships.

[0593] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0594] Step 1:

[0595] Users input consultation details and recent conversations as text or voice using communication devices. The input information is transmitted directly to the data processing unit. The data obtained from the input is text or voice data that represents the user's current situation.

[0596] Step 2:

[0597] The server analyzes the received data using a natural language processing engine (such as spaCy). During this process, the text information undergoes morphological analysis, and important indicators (keywords) and the user's emotional state are extracted. The input is the text information to be analyzed, and the output is the analyzed indicator and emotional state data.

[0598] Step 3:

[0599] The server compares the extracted metrics and emotional states with an existing success story database. Data processing here involves comparison and contrast of the extracted data. Based on this comparison, it evaluates the relationship states between users and generates analytical data for subsequent processes. The output is the evaluation result of the state analysis.

[0600] Step 4:

[0601] Based on the results of state analysis, the server generates optimized and customized advice for the user. This generation process uses an AI model to construct specific prompts tailored to the user's situation. The output is an advice message created specifically for the user.

[0602] Step 5:

[0603] The generated advice messages are sent to the communication device and presented to the user. The user uses this information to devise appropriate actions and dialogue strategies. The output is the advice content viewable by the user.

[0604] Step 6:

[0605] When a user selects a simulated experience, the server generates a virtual response based on that selection. Specifically, a virtual scenario is generated, and an AI model predicts several possible responses. The output is the virtual scenario and response patterns used in the user's simulated experience.

[0606] Step 7:

[0607] Based on the results of the simulated experience, the server generates feedback and provides it to the user via communication devices. This feedback includes areas for improvement and further suggestions. The output is a feedback message to the user.

[0608] 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.

[0609] This invention is a system that supports users' communication regarding romantic relationships. It uses an emotion engine to recognize the user's emotional state and, in combination with natural language processing technology, provides the user with highly accurate advice and simulations. The following describes a specific embodiment of this system.

[0610] The user first uses a terminal to access the system and inputs their relationship concerns and recent conversations in text format. This input information is sent from the terminal to the server. In the process of analyzing the received user input information, the server uses an emotion engine to recognize the user's emotional state.

[0611] The emotion engine extracts emotions from the input text and comprehensively analyzes the user's psychological state. Based on this analysis, the server uses natural language processing technology to extract relevant keywords and emotional states and proceeds with the analysis.

[0612] The server then compares the extracted data with a database of past success stories to evaluate and analyze the current relationships. Based on this evaluation, it generates advice for the user. The advice becomes more personalized by taking into account the results of the emotion engine's analysis.

[0613] The generated advice is sent from the server to the terminal, and the user can view the presented advice through the terminal. Furthermore, the user can select a specific simulation on the terminal, and the emotion engine generates an emotional response in real time based on the content of the selected simulation.

[0614] After the simulation runs, the server generates feedback based on user behavior data and feedback from the emotion engine, including areas for improvement and additional advice. This feedback is presented to the user via their device, and they can use it to improve their actual communication.

[0615] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion," and the server uses this to generate specific advice such as "First, try to create an environment where you can talk more comfortably." Furthermore, simulations provide practice in conversations that ease the atmosphere, helping users approach real-life situations with confidence.

[0616] The following describes the processing flow.

[0617] Step 1:

[0618] Users access the system via their device and input text about their relationship problems and recent interactions. This information is then sent from the device to the server.

[0619] Step 2:

[0620] The server activates the emotion engine to analyze the user's input information. The emotion engine extracts emotional states from the input text and determines the user's psychological state.

[0621] Step 3:

[0622] The server extracts keywords from text data using emotional state data obtained from the emotion engine and natural language processing techniques. This identifies the user's intent and important elements.

[0623] Step 4:

[0624] The server compares the extracted keywords and emotional states with a database of past success stories. This comparison identifies success stories in similar situations and evaluates the current relationship.

[0625] Step 5:

[0626] The server generates advice to provide to the user based on the above evaluation. The advice reflects the results of the sentiment engine and is tailored to the individual situation.

[0627] Step 6:

[0628] The server sends the generated advice to the terminal. The terminal displays this to the user, making it available for review.

[0629] Step 7:

[0630] The user uses the simulation function on their device to select a specific scenario (for example, a dating or conversation simulation).

[0631] Step 8:

[0632] The server generates virtual responses based on the selected simulation scenario. The emotion engine also operates in real time, adjusting emotional responses to user input.

[0633] Step 9:

[0634] After the simulation is complete, the server analyzes the user's behavioral data and emotional changes to generate feedback. This feedback includes advice on areas for improvement and next steps.

[0635] Step 10:

[0636] The server sends this feedback to the device, which then displays it to the user. The user can then use this information to improve their actual communication.

[0637] (Example 2)

[0638] 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."

[0639] Current technology presents challenges in recognizing an individual's emotions and relationship states and providing appropriate advice and feedback based on them. Furthermore, achieving personalized support utilizing past experiences and data is difficult. To improve this situation, there is a need for a system that can accurately grasp a user's emotional state and provide appropriate advice and simulations.

[0640] 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.

[0641] In this invention, the server includes means for receiving user input information and transmitting said user input information to an information processing device; the information processing device includes means for analyzing the user input information and extracting elements related to emotion by performing natural language processing on the text data; and the information processing device includes means for comparing the data with past success story information sources based on the elements related to emotion and evaluating the relationship situation. This enables the provision of personalized advice tailored to the user's emotions and situation, and feedback based on that advice.

[0642] "User input information" refers to information entered by the user via a terminal and sent to the server, primarily in text format, describing concerns and situations.

[0643] An "information processing device" is a device that analyzes received user input information, extracts emotional states, and compares them with past data, and functions as a server.

[0644] Natural language processing is a technique for extracting emotions and related elements from text data, and it is a method for efficiently processing information by analyzing language.

[0645] "Emotions" refer to the psychological state that a user exhibits, and the system extracts these from the context and nuances of their words.

[0646] "Related elements" refer to keywords and information necessary for analysis, along with emotional states, and form the basis for user advice and simulations.

[0647] "Past success story information sources" refer to a database of previously accumulated successful cases, and referring to this information provides clues for generating optimal advice.

[0648] "Relationship status" refers to the state of the relationship between the user and the other party, and this status is evaluated based on emotions and data.

[0649] A "display device" refers to a terminal or display used to present information transmitted from a server to a user, and is a device for the user to check advice and feedback.

[0650] A "simulated experience" is an experience where a server generates virtual responses for the user and provides them as a simulation, including scenarios to help the user prepare for real-world situations.

[0651] "Opinions" refer to suggestions and points for improvement generated by the information processing device based on the results of the simulated experience, providing users with useful insights to improve their communication.

[0652] This invention is a system designed to support users' communication regarding romantic relationships and interpersonal relationships. Using an emotion engine and natural language processing technology, it analyzes user input information and recognizes their emotional state to provide more appropriate advice and simulations.

[0653] First, the user accesses the system using a terminal and inputs their concerns and recent conversations in text format. This text input is sent from the terminal to the server. The server analyzes the received text information using an emotion engine to recognize the user's emotional state. The emotion engine is equipped with the latest generative AI model, enabling a multifaceted analysis of the user's psychological state.

[0654] Next, the server uses natural language processing technology to extract relevant keywords from the input text. Based on these keywords and emotional states, the server compares them with past success stories and evaluates the current relationship status. From this evaluation, the server generates advice for the user. This allows the user to receive personalized and specific advice sent from the server through their device.

[0655] Furthermore, users can select and run simulations on their devices. Once a simulation starts, the emotion engine generates the user's reactions in the simulated experience in real time. After the simulation ends, the server creates feedback based on the simulated experience results and provides it to the user via the device.

[0656] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." The server then generates advice such as, "First, try to create an environment where you can talk comfortably." Furthermore, using simulations, the user can practice conversations to create a more relaxed atmosphere, helping them to approach real-life situations with confidence.

[0657] An example of a prompt is, "My relationship with him is strained. How can I improve it?" This prompt prompt allows the system to provide advice tailored to the user's specific situation.

[0658] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0659] Step 1:

[0660] Users access the system using a device and input their relationship concerns and recent conversations in text format. The entered text is treated as information including the user's feelings and circumstances, and the device sends it to the server.

[0661] Step 2:

[0662] The server first obtains the received text as string data and then uses an emotion engine to analyze the emotions contained in the text. A generative AI model extracts specific emotions such as anxiety, joy, and confusion from the text. This analysis result is output as an emotional state.

[0663] Step 3:

[0664] The server uses natural language processing technology to identify important keywords from the analyzed text. The text data undergoes syntactic and morphological analysis to extract highly relevant keywords. The server then outputs the extracted keywords along with the sentiment state.

[0665] Step 4:

[0666] The server compares the extracted keywords and sentiment states with past success stories. Using the database, it searches for similar cases and evaluates the user's current relationship status. The server stores this evaluation result as data.

[0667] Step 5:

[0668] The server generates advice for the user based on the relationship assessment results. The advice generated by the AI ​​model includes personalized suggestions derived from the user's emotional state and past successes. This advice is output in text format and sent from the server to the terminal.

[0669] Step 6:

[0670] The terminal displays advice received from the server to the user. The user reviews the advice provided by the system through the terminal's screen. This process allows the user to visually receive personalized advice.

[0671] Step 7:

[0672] The user operates the terminal and selects a specific simulation from the presented options. The selected simulation details are sent from the terminal to the server. This information becomes the input data for running the simulation.

[0673] Step 8:

[0674] The server uses an emotion engine to generate virtual responses based on the received simulation data. It calculates emotional responses in real time, providing the user with a virtual experience. These results are recorded as simulation output data.

[0675] Step 9:

[0676] The server generates feedback for the user based on the simulation results. Considering the results of the emotion engine, it generates feedback that includes next steps and areas for improvement. This feedback is sent to the terminal in text format.

[0677] Step 10:

[0678] The device displays the submitted feedback to the user. The user can review the feedback through the device and use it to facilitate actual communication. This process helps encourage further improvement for the user.

[0679] (Application Example 2)

[0680] 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."

[0681] In modern society, there is a lack of systems that effectively support individuals' emotional and interpersonal relationship problems. In particular, there is a need for technology that provides personalized advice that users can easily access when dealing with relationship issues or seeking to improve relationships. There is also a growing demand for systems that enable emotional recognition and the simulation of specific conversations. Current technology makes it difficult to grasp users' emotions in detail and provide appropriate advice in real time based on past success stories; effectively addressing these issues is an urgent priority.

[0682] 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.

[0683] In this invention, the server includes means for receiving user input information and transmitting the information to a terminal; means for an information processing device to analyze emotions using natural language processing and extract keywords and emotional states; means for performing situation analysis by comparing with a past success case recording device and generating advice; and means for a device having voice input and visual display functions to grasp the emotional state through dialogue and provide a response in cooperation with the information processing device. As a result, the user can have their emotional state understood in detail, receive personalized advice in real time, and use the simulation of emotional dialogue to improve real-world relationships.

[0684] "User input information" refers to data such as text and audio that users provide to the system.

[0685] An "information processing device" is a computer system that receives and analyzes user input information.

[0686] "Natural language processing" is a technology that enables computers to understand, generate, and analyze human language.

[0687] "Emotional state" refers to information that indicates the psychological situation or mood extracted from the user's input.

[0688] A "past success story recording device" is a database that stores data on cases where problems were previously solved and uses it for comparison.

[0689] "Situation analysis" is a process of evaluating the user's problems and relationship status based on extracted keywords and emotional states.

[0690] "Advice" refers to guidance and suggestions provided by the system based on the user's situation.

[0691] The "voice input function" is a feature that recognizes the user's voice and inputs it into the system.

[0692] A "visual display function" is a function that visually presents information and results generated by the system to the user.

[0693] "Dialogue" is the process by which a user and a system exchange information using voice or text.

[0694] "Emotional dialogue simulation" is a technology that mimics real-world conversations to generate responses that correspond to the user's emotions.

[0695] In the system implementing this invention, the user first accesses the system using a terminal device and inputs their relationship problems or concerns in voice or text format. The terminal device is responsible for immediately transmitting the input information to the information processing device.

[0696] The information processing device uses advanced natural language processing techniques to analyze received user input information and extract emotional states. Specific natural language processing technologies such as Google Cloud Natural Language API and spaCy are employed for this purpose. The extracted keywords and emotional states are then compared with data stored in a past success story recording device to analyze the user's current relationship status.

[0697] Based on the results of this situation analysis, the server utilizes a model called an emotion engine to generate advice tailored to the user. The generated advice is sent to the terminal and provided to the user through a visual display function. The terminal device is equipped with a display, allowing the user to intuitively view the generated advice.

[0698] Furthermore, users can select simulation content using a voice input function, and this selection is sent to the information processing device. The information processing device generates a virtual emotional response based on the simulation content. This virtual dialogue simulation provides an opportunity to practice improving interpersonal relationships, tailored to the user's specific problems.

[0699] For example, if a user inputs something like, "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." Based on this, the server generates specific advice such as, "First, try to create an environment where you can talk calmly." Furthermore, simulations can help users practice conversations, enabling them to gain confidence in real-life situations.

[0700] An example of a prompt using a generative AI model might be: "Tell us how you've been feeling about your partner lately. For example, if you type 'I feel like we've been seeing each other less lately,' we'll give you advice." This prompt makes it easier for users to provide more specific information to the system, and the response becomes more personalized.

[0701] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0702] Step 1:

[0703] The user uses a terminal device to input relationship-related worries and questions in voice or text format. The input information is provided by the system in the format required by prompts. This information serves as the initial input to the system.

[0704] Step 2:

[0705] The terminal transmits the input information received from the user to the information processing device. The transmitted data is formatted as text data and prepared for the next analysis step.

[0706] Step 3:

[0707] The information processing device analyzes the received input information using natural language processing technology. This process utilizes Google Cloud Natural Language API and spaCy to extract keywords and emotional states. At this stage, data processing is performed to identify the user's emotions and related themes from the input data.

[0708] Step 4:

[0709] The extracted keywords and emotional states are compared with data stored in a past success story recording device. The server then uses this data to perform a relationship analysis. This process selects case data that is relevant to the current user situation.

[0710] Step 5:

[0711] The server generates advice for the user based on the analysis results. This advice generation utilizes a generative AI model that incorporates an emotion engine and feedback from similar cases. The generated advice is personalized and tailored to the user's specific situation.

[0712] Step 6:

[0713] The advice generated by the server is sent to the terminal device. The terminal device presents the advice to the user using a visual display function. In this step, data is displayed so that the user can intuitively and quickly confirm the advice provided.

[0714] Step 7:

[0715] The user selects a simulation to implement the provided advice. They utilize voice input to determine the appropriate simulation content. This simulation content is then sent back to the information processing device, preparing it for virtual response generation.

[0716] Step 8:

[0717] The information processing device generates and provides a virtual dialogue simulation to the user based on the selected simulation. In this step, emotional responses are generated in real time in the form of a virtual dialogue. Through this simulation, the user can practice in a way that simulates real-world situations.

[0718] 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.

[0719] 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.

[0720] 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.

[0721] [Fourth Embodiment]

[0722] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0723] 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.

[0724] 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).

[0725] 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.

[0726] 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.

[0727] 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).

[0728] 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.

[0729] 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.

[0730] 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.

[0731] 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.

[0732] 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.

[0733] 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.

[0734] 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".

[0735] This invention is a system that supports communication in romantic relationships. Based on user input information, it uses natural language processing technology to analyze emotions and relationships, and provides appropriate advice and simulations. The following describes a specific embodiment of this system.

[0736] The user first accesses the system using a terminal and inputs their relationship problems and recent conversations as text. This input information is then sent from the terminal to the server.

[0737] The server analyzes the received user input information using natural language processing technology. In this analysis, the server extracts important keywords and emotional states from the text and uses this information to evaluate the relationship between the user and the other party.

[0738] Next, the server compares the current situation with a database containing past success stories and generates optimal advice tailored to the specific circumstances. This advice is designed to suit the user's situation and is sent from the server to the terminal for presentation to the user.

[0739] Furthermore, users can select specific simulations on their devices based on the advice provided. For example, they can choose a confession scenario and simulate a virtual conversation. The server calculates the virtual partner's reaction based on this selection, allowing the user to practice in a real-world situation.

[0740] After the simulation ends, the server analyzes the data obtained from the user's behavior and conversations and generates feedback that includes areas for improvement and additional advice. This feedback is displayed on the terminal, and the user can use it as a reference to improve their actual communication.

[0741] For example, if a user inputs "I've been talking to him less lately," the server will determine that "the frequency of communication needs to be restructured" and generate advice such as "you should create opportunities for conversation by incorporating common hobbies," and then allow the user to practice this through a virtual simulation. Through this practice, the user is helped to achieve better results in real-life romantic situations.

[0742] The following describes the processing flow.

[0743] Step 1:

[0744] Users access the system using their devices and input text about their relationship problems and recent conversations. This input is based on the user's subjective experience and is sent directly from the device to the server.

[0745] Step 2:

[0746] The server analyzes the user's input information received from the terminal. Using natural language processing techniques, the server extracts important keywords and emotional states from the input and formats the text data.

[0747] Step 3:

[0748] The server compares the extracted keywords and emotional states with a database containing past success stories. This comparison allows the server to evaluate the current state of the relationship between the user and the other party and generate specific analysis results.

[0749] Step 4:

[0750] The server generates optimal advice for the user based on the analysis results. This advice is designed to suit the user's situation and relationship status.

[0751] Step 5:

[0752] The server sends the generated advice to the terminal, which then displays the advice to the user. The user can review this advice and consider their next course of action.

[0753] Step 6:

[0754] The user selects a specific simulation on their device. The simulation content can be chosen from options such as a confession or a dating scenario, and the selected content is sent to the server via the device.

[0755] Step 7:

[0756] The server generates virtual responses based on the user's selected simulation. The server is designed to allow the user to experience responses from a virtual opponent through the simulation scenario.

[0757] Step 8:

[0758] After the simulation ends, the server analyzes the user's actions and statements and generates feedback based on the data obtained. This feedback includes suggestions for improvement and additional practice, and is sent from the server to the terminal.

[0759] Step 9:

[0760] The device displays feedback sent from the server to the user. The user can review this feedback and use it to make improvements in real-world situations.

[0761] (Example 1)

[0762] 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".

[0763] In romantic relationships, the quality of communication is crucial for maintaining and improving the relationship. However, many people struggle to find appropriate communication methods that suit their emotions and circumstances. Furthermore, opportunities to accurately understand their own emotions and improve their behavior based on those understandings are limited. Therefore, there is a need for a system that allows users to receive advice tailored to their specific situations and practice effective communication.

[0764] 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.

[0765] In this invention, the server includes means having a device for a user to input information and transmit said information to the server; means having a device for the server to analyze the input information and acquire keywords and emotional states using natural language processing technology; and means having a device for the server to use the acquired keywords and emotional states to compare them with a past success database and methods and perform relationship analysis. As a result, the user can receive appropriate advice in real time based on their own emotional state and relationships, and improve their communication through concrete simulations.

[0766] A "user" refers to an entity that inputs information into a system and receives advice and simulations provided by the server.

[0767] A "terminal" refers to a device used by users to input information, send it to a server, and receive advice from the server in return.

[0768] A "server" refers to a device that analyzes user input information, generates advice and simulation results through natural language processing technology, and provides them to the user via a terminal.

[0769] "Natural language processing technology" refers to the technology that enables computers to understand human language, extract meaning, and analyze it.

[0770] "Keywords" refer to words or phrases extracted from user input to identify important information or themes.

[0771] "Emotional state" refers to the user's current psychological state, analyzed based on the user's input information.

[0772] A "database" refers to a collection of information that stores past success stories and information necessary for generating advice.

[0773] "Advice" refers to specific guidelines or suggestions that a server provides to a user, aimed at solving problems or improving the relationship.

[0774] "Simulation" refers to a system that enables users to improve their communication in real-world situations through training and practice conducted in hypothetical scenarios.

[0775] "Feedback" refers to information generated based on user behavior and simulation results, including suggestions for improvement and additional advice.

[0776] This invention is a specific embodiment of a system for supporting users' communication in romantic relationships.

[0777] Users first access the system using a terminal. This system is accessible through a standard web browser, and digital devices such as PCs and smartphones can be used as terminals. Users can input their relationship problems and recent conversations in text format. Specifically, they use a text input field located on the terminal screen. For example, they might enter a prompt such as, "We've been talking less lately. What should I do?"

[0778] The terminal sends user input information to the server. The HTTPS protocol is used for secure communication over the internet during transmission.

[0779] The server uses natural language processing (NLP) techniques to analyze the received input information. Software used for this includes NLP open-source libraries such as "spaCy" and "NLTK." The server uses these tools to extract emotional states and keywords from the input text, generating data to evaluate the relationship between the user and the other party.

[0780] After analysis, the server compares the extracted data with a database containing past success stories. This matching process is performed using a relational database management system (RDBMS), etc. The data is then matched with accumulated performance information to generate advice best suited to the user's situation.

[0781] The generated advice is sent from the server to the terminal and presented to the user visually. Based on the advice presented, the user can select a specific simulation on the terminal. For example, they can choose a simulation scenario such as "When confessing your feelings, be honest about your emotions" and practice a virtual conversation using the system.

[0782] After the simulation ends, the server generates feedback based on the user's behavior data. This feedback is provided to the user's device, and the user can use it as a reference in actual communication. Therefore, throughout the entire system, the user can improve their communication skills related to romance.

[0783] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0784] Step 1:

[0785] The user accesses the system through their device and enters their relationship problems in text format. They enter a prompt such as "We've been talking less lately. What should I do?" into the input field and press the submit button. The entered text data is sent from the device to the server for processing in the next step.

[0786] Step 2:

[0787] The server receives text data sent by the user. The received data is passed to a natural language processing engine to begin text analysis. This process uses NLP libraries such as "spaCy" to extract keywords and emotional states from the input text. For data processing, morphological analysis is performed, and the user's emotions and state are quantified based on the extracted information. The output consists of the emotional state and the main keywords of the text.

[0788] Step 3:

[0789] The server uses the emotional state and keywords obtained in the previous step to compare them with a database containing past success stories. It uses a relational database system to search for similar cases. This matching process finds history that matches the emotional state and keywords obtained in the input and retrieves corresponding success stories. The output is data that can serve as a candidate for specific advice tailored to the user's situation.

[0790] Step 4:

[0791] The server generates advice for users based on success stories retrieved from the database. It utilizes a generative AI model to construct text that integrates best practices. Data processing involves assembling situation-appropriate advice from selected success stories. The final output is specific and actionable advice for the user.

[0792] Step 5:

[0793] The server sends the generated advice to the terminal. The terminal receives this data and displays the advice on the user's screen. The user can read the advice and gain guidance to improve their situation. The output is specific advice presented visually to the user.

[0794] Step 6:

[0795] Based on the advice provided, the user chooses to start a simulation on their device. For example, by selecting "Confession Simulation," they can experience a virtual conversation. The user's selection is sent to the server, which requests data for the simulation. The output is the settings and scenarios necessary for the simulation the user will perform.

[0796] Step 7:

[0797] The server generates virtual conversations and situations based on user selections and calculates real-time responses. The generated content includes virtual responses built by an AI model, ready to provide practical feedback to the user. The output is the reactions and feedback during the simulation.

[0798] Step 8:

[0799] After the simulation ends, the server evaluates the user's behavior and generates feedback. Based on the analysis results, it incorporates areas for improvement and advice for the next time, and sends it to the user's device. The feedback output specifically highlights the user's strengths and weaknesses. The user can use this information to improve future communication.

[0800] (Application Example 1)

[0801] 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".

[0802] In modern society, a lack of communication and misunderstandings in romantic relationships are contributing factors to their deterioration. To address this, there is a need for support systems that allow individuals to safely and effectively improve their communication skills and receive appropriate advice without directly practicing with a real-life partner. Furthermore, the lack of systems that provide natural support within the living environment is also a significant challenge.

[0803] 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.

[0804] In this invention, the server includes means for receiving user input information and transmitting it to a data processing device; the data processing device analyzes the user input information, performs natural language processing on the text information, and extracts indicators and emotional states; and the data processing device compares the indicators and emotional states with an existing success story database and performs relationship state analysis. This makes it possible for users to receive advice to support their love life through voice dialogue in their living environment.

[0805] "User input information" refers to information such as text and audio that users send to the system through their devices.

[0806] A "data processing device" is a complete system of equipment, such as computers and servers, used to receive and analyze information sent by users.

[0807] "Text information" refers to data that represents information entered by a user in string format.

[0808] "Natural language processing" is the technology that allows computers to understand and analyze human language.

[0809] An "indicator" represents important keywords and characteristics extracted from text information.

[0810] "Emotional state" refers to the emotional situation or attitude inferred from the user's input information.

[0811] A "database of existing success stories" is a collection of information that records past successful communication cases.

[0812] "Relationship state analysis" is the process of evaluating the current state of the relationship between a user and another person based on indicators and emotional states.

[0813] "Advice" refers to suggestions or instructions generated by the system to help users communicate more effectively.

[0814] "Communication equipment" refers to terminals or devices owned by users that are used to communicate with data processing devices via the internet or a network.

[0815] A "simulated experience" is a virtual experience or practice that users engage in to prepare for actual situations.

[0816] A "virtual response" is a hypothetical response from an opponent generated by the system that a user experiences during a simulated scenario.

[0817] "Mechanical devices present in the user's living environment" refers to electronic devices installed in homes or living spaces that are designed to facilitate conversation and support with the user.

[0818] "Voice interaction" is a form of communication in which users exchange information with machine devices through their voice.

[0819] This invention provides a system to support communication in romantic relationships. Users input relationship-related questions and situations verbally or in text format using communication devices. This input information is sent to a data processing device (server). The server uses natural language processing technology for analysis to extract emotional states and indicators. This process utilizes specific natural language processing engines such as spaCy and Transformer models.

[0820] The server analyzes the relationship status by comparing emotional states and indicators with an existing database of success stories. Based on the results, it generates customized advice for the user and provides it to the user via communication devices. Users can also select simulated experiences, and the server generates and provides virtual responses based on the content of those experiences.

[0821] As a concrete example, suppose a user inputs a question into the system saying, "I've been talking to him less lately." In this case, the server generates advice such as, "Try to incorporate a common hobby to increase the frequency of conversations." In addition, it provides a virtual cafe conversation simulation, giving the user an opportunity to practice how to start a conversation.

[0822] By using a generative AI model, it is also possible to generate prompt messages tailored to the user. Examples of prompt messages are as follows:

[0823] "User: I've been talking to him less lately. What should I do?"

[0824] AI Model: "To start a conversation, it's a good idea to bring up a shared hobby. For example, how about trying a new sport together? Starting on the weekend is recommended."

[0825] In this way, users can receive real-time communication training and emotional support through a device that allows for voice interaction within their living environment. This makes it possible for users to effectively improve their skills for building better romantic relationships.

[0826] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0827] Step 1:

[0828] Users input consultation details and recent conversations as text or voice using communication devices. The input information is transmitted directly to the data processing unit. The data obtained from the input is text or voice data that represents the user's current situation.

[0829] Step 2:

[0830] The server analyzes the received data using a natural language processing engine (such as spaCy). During this process, the text information undergoes morphological analysis, and important indicators (keywords) and the user's emotional state are extracted. The input is the text information to be analyzed, and the output is the analyzed indicator and emotional state data.

[0831] Step 3:

[0832] The server compares the extracted metrics and emotional states with an existing success story database. Data processing here involves comparison and contrast of the extracted data. Based on this comparison, it evaluates the relationship states between users and generates analytical data for subsequent processes. The output is the evaluation result of the state analysis.

[0833] Step 4:

[0834] Based on the results of state analysis, the server generates optimized and customized advice for the user. This generation process uses an AI model to construct specific prompts tailored to the user's situation. The output is an advice message created specifically for the user.

[0835] Step 5:

[0836] The generated advice messages are sent to the communication device and presented to the user. The user uses this information to devise appropriate actions and dialogue strategies. The output is the advice content viewable by the user.

[0837] Step 6:

[0838] When a user selects a simulated experience, the server generates a virtual response based on that selection. Specifically, a virtual scenario is generated, and an AI model predicts several possible responses. The output is the virtual scenario and response patterns used in the user's simulated experience.

[0839] Step 7:

[0840] Based on the results of the simulated experience, the server generates feedback and provides it to the user via communication devices. This feedback includes areas for improvement and further suggestions. The output is a feedback message to the user.

[0841] 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.

[0842] This invention is a system that supports users' communication regarding romantic relationships. It uses an emotion engine to recognize the user's emotional state and, in combination with natural language processing technology, provides the user with highly accurate advice and simulations. The following describes a specific embodiment of this system.

[0843] The user first uses a terminal to access the system and inputs their relationship concerns and recent conversations in text format. This input information is sent from the terminal to the server. In the process of analyzing the received user input information, the server uses an emotion engine to recognize the user's emotional state.

[0844] The emotion engine extracts emotions from the input text and comprehensively analyzes the user's psychological state. Based on this analysis, the server uses natural language processing technology to extract relevant keywords and emotional states and proceeds with the analysis.

[0845] The server then compares the extracted data with a database of past success stories to evaluate and analyze the current relationships. Based on this evaluation, it generates advice for the user. The advice becomes more personalized by taking into account the results of the emotion engine's analysis.

[0846] The generated advice is sent from the server to the terminal, and the user can view the presented advice through the terminal. Furthermore, the user can select a specific simulation on the terminal, and the emotion engine generates an emotional response in real time based on the content of the selected simulation.

[0847] After the simulation runs, the server generates feedback based on user behavior data and feedback from the emotion engine, including areas for improvement and additional advice. This feedback is presented to the user via their device, and they can use it to improve their actual communication.

[0848] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion," and the server uses this to generate specific advice such as "First, try to create an environment where you can talk more comfortably." Furthermore, simulations provide practice in conversations that ease the atmosphere, helping users approach real-life situations with confidence.

[0849] The following describes the processing flow.

[0850] Step 1:

[0851] Users access the system via their device and input text about their relationship problems and recent interactions. This information is then sent from the device to the server.

[0852] Step 2:

[0853] The server activates the emotion engine to analyze the user's input information. The emotion engine extracts emotional states from the input text and determines the user's psychological state.

[0854] Step 3:

[0855] The server extracts keywords from text data using emotional state data obtained from the emotion engine and natural language processing techniques. This identifies the user's intent and important elements.

[0856] Step 4:

[0857] The server compares the extracted keywords and emotional states with a database of past success stories. This comparison identifies success stories in similar situations and evaluates the current relationship.

[0858] Step 5:

[0859] The server generates advice to provide to the user based on the above evaluation. The advice reflects the results of the sentiment engine and is tailored to the individual situation.

[0860] Step 6:

[0861] The server sends the generated advice to the terminal. The terminal displays this to the user, making it available for review.

[0862] Step 7:

[0863] The user uses the simulation function on their device to select a specific scenario (for example, a dating or conversation simulation).

[0864] Step 8:

[0865] The server generates virtual responses based on the selected simulation scenario. The emotion engine also operates in real time, adjusting emotional responses to user input.

[0866] Step 9:

[0867] After the simulation is complete, the server analyzes the user's behavioral data and emotional changes to generate feedback. This feedback includes advice on areas for improvement and next steps.

[0868] Step 10:

[0869] The server sends this feedback to the device, which then displays it to the user. The user can then use this information to improve their actual communication.

[0870] (Example 2)

[0871] 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".

[0872] Current technology presents challenges in recognizing an individual's emotions and relationship states and providing appropriate advice and feedback based on them. Furthermore, achieving personalized support utilizing past experiences and data is difficult. To improve this situation, there is a need for a system that can accurately grasp a user's emotional state and provide appropriate advice and simulations.

[0873] 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.

[0874] In this invention, the server includes means for receiving user input information and transmitting said user input information to an information processing device; the information processing device includes means for analyzing the user input information and extracting elements related to emotion by performing natural language processing on the text data; and the information processing device includes means for comparing the data with past success story information sources based on the elements related to emotion and evaluating the relationship situation. This enables the provision of personalized advice tailored to the user's emotions and situation, and feedback based on that advice.

[0875] "User input information" refers to information entered by the user via a terminal and sent to the server, primarily in text format, describing concerns and situations.

[0876] An "information processing device" is a device that analyzes received user input information, extracts emotional states, and compares them with past data, and functions as a server.

[0877] Natural language processing is a technique for extracting emotions and related elements from text data, and it is a method for efficiently processing information by analyzing language.

[0878] "Emotions" refer to the psychological state that a user exhibits, and the system extracts these from the context and nuances of their words.

[0879] "Related elements" refer to keywords and information necessary for analysis, along with emotional states, and form the basis for user advice and simulations.

[0880] "Past success story information sources" refer to a database of previously accumulated successful cases, and referring to this information provides clues for generating optimal advice.

[0881] "Relationship status" refers to the state of the relationship between the user and the other party, and this status is evaluated based on emotions and data.

[0882] A "display device" refers to a terminal or display used to present information transmitted from a server to a user, and is a device for the user to check advice and feedback.

[0883] A "simulated experience" is an experience where a server generates virtual responses for the user and provides them as a simulation, including scenarios to help the user prepare for real-world situations.

[0884] "Opinions" refer to suggestions and points for improvement generated by the information processing device based on the results of the simulated experience, providing users with useful insights to improve their communication.

[0885] This invention is a system designed to support users' communication regarding romantic relationships and interpersonal relationships. Using an emotion engine and natural language processing technology, it analyzes user input information and recognizes their emotional state to provide more appropriate advice and simulations.

[0886] First, the user accesses the system using a terminal and inputs their concerns and recent conversations in text format. This text input is sent from the terminal to the server. The server analyzes the received text information using an emotion engine to recognize the user's emotional state. The emotion engine is equipped with the latest generative AI model, enabling a multifaceted analysis of the user's psychological state.

[0887] Next, the server uses natural language processing technology to extract relevant keywords from the input text. Based on these keywords and emotional states, the server compares them with past success stories and evaluates the current relationship status. From this evaluation, the server generates advice for the user. This allows the user to receive personalized and specific advice sent from the server through their device.

[0888] Furthermore, users can select and run simulations on their devices. Once a simulation starts, the emotion engine generates the user's reactions in the simulated experience in real time. After the simulation ends, the server creates feedback based on the simulated experience results and provides it to the user via the device.

[0889] For example, if a user inputs "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." The server then generates advice such as, "First, try to create an environment where you can talk comfortably." Furthermore, using simulations, the user can practice conversations to create a more relaxed atmosphere, helping them to approach real-life situations with confidence.

[0890] An example of a prompt is, "My relationship with him is strained. How can I improve it?" This prompt prompt allows the system to provide advice tailored to the user's specific situation.

[0891] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0892] Step 1:

[0893] Users access the system using a device and input their relationship concerns and recent conversations in text format. The entered text is treated as information including the user's feelings and circumstances, and the device sends it to the server.

[0894] Step 2:

[0895] The server first obtains the received text as string data and then uses an emotion engine to analyze the emotions contained in the text. A generative AI model extracts specific emotions such as anxiety, joy, and confusion from the text. This analysis result is output as an emotional state.

[0896] Step 3:

[0897] The server uses natural language processing technology to identify important keywords from the analyzed text. The text data undergoes syntactic and morphological analysis to extract highly relevant keywords. The server then outputs the extracted keywords along with the sentiment state.

[0898] Step 4:

[0899] The server compares the extracted keywords and sentiment states with past success stories. Using the database, it searches for similar cases and evaluates the user's current relationship status. The server stores this evaluation result as data.

[0900] Step 5:

[0901] The server generates advice for the user based on the relationship assessment results. The advice generated by the AI ​​model includes personalized suggestions derived from the user's emotional state and past successes. This advice is output in text format and sent from the server to the terminal.

[0902] Step 6:

[0903] The terminal displays advice received from the server to the user. The user reviews the advice provided by the system through the terminal's screen. This process allows the user to visually receive personalized advice.

[0904] Step 7:

[0905] The user operates the terminal and selects a specific simulation from the presented options. The selected simulation details are sent from the terminal to the server. This information becomes the input data for running the simulation.

[0906] Step 8:

[0907] The server uses an emotion engine to generate virtual responses based on the received simulation data. It calculates emotional responses in real time, providing the user with a virtual experience. These results are recorded as simulation output data.

[0908] Step 9:

[0909] The server generates feedback for the user based on the simulation results. Considering the results of the emotion engine, it generates feedback that includes next steps and areas for improvement. This feedback is sent to the terminal in text format.

[0910] Step 10:

[0911] The device displays the submitted feedback to the user. The user can review the feedback through the device and use it to facilitate actual communication. This process helps encourage further improvement for the user.

[0912] (Application Example 2)

[0913] 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".

[0914] In modern society, there is a lack of systems that effectively support individuals' emotional and interpersonal relationship problems. In particular, there is a need for technology that provides personalized advice that users can easily access when dealing with relationship issues or seeking to improve relationships. There is also a growing demand for systems that enable emotional recognition and the simulation of specific conversations. Current technology makes it difficult to grasp users' emotions in detail and provide appropriate advice in real time based on past success stories; effectively addressing these issues is an urgent priority.

[0915] 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.

[0916] In this invention, the server includes means for receiving user input information and transmitting the information to a terminal; means for an information processing device to analyze emotions using natural language processing and extract keywords and emotional states; means for performing situation analysis by comparing with a past success case recording device and generating advice; and means for a device having voice input and visual display functions to grasp the emotional state through dialogue and provide a response in cooperation with the information processing device. As a result, the user can have their emotional state understood in detail, receive personalized advice in real time, and use the simulation of emotional dialogue to improve real-world relationships.

[0917] "User input information" refers to data such as text and audio that users provide to the system.

[0918] An "information processing device" is a computer system that receives and analyzes user input information.

[0919] "Natural language processing" is a technology that enables computers to understand, generate, and analyze human language.

[0920] "Emotional state" refers to information that indicates the psychological situation or mood extracted from the user's input.

[0921] A "past success story recording device" is a database that stores data on cases where problems were previously solved and uses it for comparison.

[0922] "Situation analysis" is a process of evaluating the user's problems and relationship status based on extracted keywords and emotional states.

[0923] "Advice" refers to guidance and suggestions provided by the system based on the user's situation.

[0924] The "voice input function" is a feature that recognizes the user's voice and inputs it into the system.

[0925] A "visual display function" is a function that visually presents information and results generated by the system to the user.

[0926] "Dialogue" is the process by which a user and a system exchange information using voice or text.

[0927] "Emotional dialogue simulation" is a technology that mimics real-world conversations to generate responses that correspond to the user's emotions.

[0928] In the system implementing this invention, the user first accesses the system using a terminal device and inputs their relationship problems or concerns in voice or text format. The terminal device is responsible for immediately transmitting the input information to the information processing device.

[0929] The information processing device uses advanced natural language processing techniques to analyze received user input information and extract emotional states. Specific natural language processing technologies such as Google Cloud Natural Language API and spaCy are employed for this purpose. The extracted keywords and emotional states are then compared with data stored in a past success story recording device to analyze the user's current relationship status.

[0930] Based on the results of this situation analysis, the server utilizes a model called an emotion engine to generate advice tailored to the user. The generated advice is sent to the terminal and provided to the user through a visual display function. The terminal device is equipped with a display, allowing the user to intuitively view the generated advice.

[0931] Furthermore, users can select simulation content using a voice input function, and this selection is sent to the information processing device. The information processing device generates a virtual emotional response based on the simulation content. This virtual dialogue simulation provides an opportunity to practice improving interpersonal relationships, tailored to the user's specific problems.

[0932] For example, if a user inputs something like, "My relationship with him is strained," the emotion engine recognizes emotions such as "anxiety" and "confusion." Based on this, the server generates specific advice such as, "First, try to create an environment where you can talk calmly." Furthermore, simulations can help users practice conversations, enabling them to gain confidence in real-life situations.

[0933] An example of a prompt using a generative AI model might be: "Tell us how you've been feeling about your partner lately. For example, if you type 'I feel like we've been seeing each other less lately,' we'll give you advice." This prompt makes it easier for users to provide more specific information to the system, and the response becomes more personalized.

[0934] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0935] Step 1:

[0936] The user uses a terminal device to input relationship-related worries and questions in voice or text format. The input information is provided by the system in the format required by prompts. This information serves as the initial input to the system.

[0937] Step 2:

[0938] The terminal transmits the input information received from the user to the information processing device. The transmitted data is formatted as text data and prepared for the next analysis step.

[0939] Step 3:

[0940] The information processing device analyzes the received input information using natural language processing technology. This process utilizes Google Cloud Natural Language API and spaCy to extract keywords and emotional states. At this stage, data processing is performed to identify the user's emotions and related themes from the input data.

[0941] Step 4:

[0942] The extracted keywords and emotional states are compared with data stored in a past success story recording device. The server then uses this data to perform a relationship analysis. This process selects case data that is relevant to the current user situation.

[0943] Step 5:

[0944] The server generates advice for the user based on the analysis results. This advice generation utilizes a generative AI model that incorporates an emotion engine and feedback from similar cases. The generated advice is personalized and tailored to the user's specific situation.

[0945] Step 6:

[0946] The advice generated by the server is sent to the terminal device. The terminal device presents the advice to the user using a visual display function. In this step, data is displayed so that the user can intuitively and quickly confirm the advice provided.

[0947] Step 7:

[0948] The user selects a simulation to implement the provided advice. They utilize voice input to determine the appropriate simulation content. This simulation content is then sent back to the information processing device, preparing it for virtual response generation.

[0949] Step 8:

[0950] The information processing device generates and provides a virtual dialogue simulation to the user based on the selected simulation. In this step, emotional responses are generated in real time in the form of a virtual dialogue. Through this simulation, the user can practice in a way that simulates real-world situations.

[0951] 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.

[0952] 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.

[0953] 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 robot 414.

[0954] 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.

[0955] 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.

[0956] 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.

[0957] 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.

[0958] 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.

[0959] 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."

[0960] 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.

[0961] 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.

[0962] 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.

[0963] 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.

[0964] 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.

[0965] 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.

[0966] 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.

[0967] 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.

[0968] 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.

[0969] 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.

[0970] 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.

[0971] 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.

[0972] The following is further disclosed regarding the embodiments described above.

[0973] (Claim 1)

[0974] A means for receiving user input information and transmitting said user input information to a server,

[0975] The server analyzes the user input information and extracts keywords and emotional states by performing natural language processing on the text data.

[0976] The server, based on the aforementioned keywords and emotional states, compares the data with a database of past success stories and performs a relationship analysis.

[0977] A means by which the server generates advice to be provided to the user based on the results of the analysis of the relationship status,

[0978] A means for the server to send the advice it generates to a terminal, and for the terminal to present the advice to the user,

[0979] A means of sending the user's selected simulation content to a server and generating and providing a virtual response,

[0980] A means by which the server creates feedback based on the simulation results and provides it to the user via the terminal,

[0981] A system that includes this.

[0982] (Claim 2)

[0983] The system according to claim 1, wherein the server designs virtual conversation and action scenarios based on the simulation selected by the user, and generates countermeasures and suggestions for the user.

[0984] (Claim 3)

[0985] The system according to claim 1, wherein the terminal retains the user's past input history and provides it to the server to generate more accurate advice and provide feedback.

[0986] "Example 1"

[0987] (Claim 1)

[0988] A means having a device that allows a user to input information and transmit that information to a server,

[0989] A means having a server that analyzes the input information and obtains keywords and emotional states using natural language processing technology,

[0990] A means having a device that uses the acquired keywords and emotional states to compare them with a past success database and methods, and to perform relationship analysis.

[0991] A means having a device that generates advice suitable for the user based on the analysis results of the relationship,

[0992] A means comprising a device that transmits the advice generated by the server to a terminal, and the terminal visually provides the advice to the user,

[0993] A means having a device that transmits the virtual simulation content selected by the user to a server and generates and provides a virtual response,

[0994] A means having a device that generates an evaluation based on the virtual simulation results and supplies it to the user via a terminal,

[0995] A system that includes this.

[0996] (Claim 2)

[0997] The system according to claim 1, wherein the server constructs a virtual conversation and action scenario based on the virtual practice selected by the user, and generates suggestions and improvement measures for the user.

[0998] (Claim 3)

[0999] The system according to claim 1, wherein the terminal saves the user's past input history and proposes it to the server to generate and provide more accurate advice.

[1000] "Application Example 1"

[1001] (Claim 1)

[1002] A means for receiving user input information and transmitting said user input information to a data processing device,

[1003] The data processing device analyzes the user input information and extracts indicators and emotional states by performing natural language processing on the text information.

[1004] A data processing device compares the data with an existing success story database based on the indicators and emotional states, and performs relationship state analysis.

[1005] The data processing device includes means for generating advice to be provided to the user based on the results of the relationship state analysis,

[1006] A means for transmitting the advice generated by the data processing device to a communication device, and for the communication device to present the advice to the user,

[1007] A means for transmitting the simulated experience content selected by the user to a data processing device and generating and providing a virtual response,

[1008] A data processing device generates feedback based on the results of the simulated experience and provides it to the user via a communication device,

[1009] A means by which a mechanical device present in the user's living environment provides the aforementioned advice and emotional support through voice interaction,

[1010] A system that includes this.

[1011] (Claim 2)

[1012] The system according to claim 1, wherein the data processing device designs virtual conversation and behavior scenarios based on a simulated experience selected by the user, and generates countermeasures and suggestions for the user.

[1013] (Claim 3)

[1014] The system according to claim 1, wherein the communication device retains the user's past input history and provides it to the data processing device, thereby enabling more accurate advice generation and feedback provision.

[1015] "Example 2 of combining an emotion engine"

[1016] (Claim 1)

[1017] A means for receiving user input information and transmitting said user input information to an information processing device,

[1018] The information processing device analyzes the user input information and performs natural language processing on the text data to extract elements related to emotions,

[1019] The information processing device includes means for comparing the data with past success story information sources based on the elements related to the emotion, and for evaluating the relationship situation.

[1020] The information processing device provides means for generating advice to be provided to the user from the evaluation results of the relationship situation,

[1021] A means for transmitting the advice generated by the information processing device to a display device, and for the display device to present the advice to the user,

[1022] A means for transmitting the simulated experience content selected by the user to an information processing device and generating and providing a virtual response,

[1023] A means by which an information processing device generates an opinion based on the results of the simulated experience and provides it to the user through a display device,

[1024] A system that includes this.

[1025] (Claim 2)

[1026] The system according to claim 1, wherein the information processing device designs virtual dialogue and behavior scenarios based on a simulated experience selected by the user, and generates countermeasures and suggestions for the user.

[1027] (Claim 3)

[1028] The system according to claim 1, wherein the display device retains the user's past input history and provides it to the information processing device to generate more accurate advice and provide opinions.

[1029] "Application example 2 when combining with an emotional engine"

[1030] (Claim 1)

[1031] A means for receiving user input information and transmitting said user input information to an information processing device,

[1032] The information processing device analyzes the user input information and extracts keywords and emotional states by performing natural language processing on the text data.

[1033] The information processing device includes means for comparing the data with a past success story recording device based on the keywords and emotional state, and for performing relationship situation analysis.

[1034] The information processing device provides means for generating advice to be provided to the user based on the results of the analysis of the relationship status,

[1035] A means for transmitting the advice generated by the information processing device to a terminal device, and for the terminal device to present the advice to the user,

[1036] A means for transmitting the exercise content selected by the user to an information processing device and generating and providing a virtual response,

[1037] A means by which an information processing device generates feedback based on the exercise results and provides it to the user through a terminal device,

[1038] A device having voice input and visual display functions, which grasps the user's emotional state through dialogue and provides a response in cooperation with an information processing device,

[1039] A system that includes this.

[1040] (Claim 2)

[1041] The system according to claim 1, wherein the information processing device designs virtual dialogues and action guidelines based on exercises selected by the user, and generates countermeasures and suggestions for the user.

[1042] (Claim 3)

[1043] The system according to claim 1, wherein the terminal device retains the user's past input history and provides it to the information processing device to generate more accurate advice and provide feedback. [Explanation of Symbols]

[1044] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving user input information and transmitting said user input information to a data processing device, The data processing device analyzes the user input information and extracts indicators and emotional states by performing natural language processing on the text information. A data processing device compares the data with an existing success story database based on the indicators and emotional states, and performs relationship state analysis. The data processing device includes means for generating advice to be provided to the user based on the results of the relationship state analysis, A means for transmitting the advice generated by the data processing device to a communication device, and for the communication device to present the advice to the user, A means for transmitting the simulated experience content selected by the user to a data processing device and generating and providing a virtual response, A data processing device generates feedback based on the results of the simulated experience and provides it to the user via a communication device, A means by which a mechanical device present in the user's living environment provides the aforementioned advice and emotional support through voice interaction, A system that includes this.

2. The system according to claim 1, wherein the data processing device designs virtual conversation and behavior scenarios based on a simulated experience selected by the user, and generates countermeasures and suggestions for the user.

3. The system according to claim 1, wherein the communication device retains the user's past input history and provides it to the data processing device, thereby enabling more accurate advice generation and feedback provision.

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