system

Abstract

We provide the system. [Solution] Means for displaying an interface for inputting user information, A means of recording the content of conversations with users and saving it in a database, A means of analyzing recorded dialogue content and extracting keywords and important events, A means of generating stories, paintings, and music based on extracted information, A means of publishing the generated work and allowing other users to react and comment, A means of analyzing reactions and comments and notifying users, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, many people feel that it is difficult to deeply understand themselves and express themselves appropriately. In addition, there is a lack of effective means for others to deeply understand their values and life stories. To solve this problem, a system that allows users to easily express themselves and share with others is needed. Furthermore, due to the lack of interactive means to support self-exploration, technical solutions to complement this are required.

Means for Solving the Problems

[0005] This invention is a system that, through dialogue between the user and an interactive generative AI, extracts the user's life story and values, and embodies them as stories, paintings, and music. The system includes means for displaying an interface for inputting user information, means for recording dialogue content and storing it in a database, means for analyzing the recorded dialogue content and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user. Furthermore, it includes means for organizing the recorded dialogue content based on chronology and values, and means for providing an interface for the user to review and adjust the generated works. As a result, users can easily engage in self-exploration and self-expression, and by sharing values ​​and life stories with others, they can achieve deep self-understanding and communication.

[0006] "User" refers to an individual or organization that uses this system.

[0007] "Conversational Generative AI" refers to artificial intelligence that engages in dialogue with users and generates stories, paintings, music, and other content based on that dialogue.

[0008] An "interface" refers to a screen or operating method that allows users to input information or view output from a system.

[0009] "Recording" refers to the act of saving the content of a conversation between a user and a conversational AI in text format, or the content of that conversation.

[0010] A "database" is an information management system that systematically stores and manages various types of data within a system, such as recorded information and created works.

[0011] "Analysis" refers to a series of processes that automatically process recorded dialogue content and extract important keywords and events.

[0012] A "keyword" is a word or phrase that has been identified as particularly important within the context of the dialogue.

[0013] A "significant event" refers to an event or occurrence in the conversation that is perceived to have an impact on the user's life or values.

[0014] A "story" is a creative work in written form generated based on the content of a dialogue or the results of an analysis.

[0015] A "painting" is a visual work of art created based on the content of a dialogue or the results of an analysis.

[0016] "Music" refers to musical works composed based on the content of dialogues and the results of analysis.

[0017] "Publishing" refers to the act of making a generated story, painting, or music available for other users to view.

[0018] A "reaction" is an action that shows other users' opinions and ratings on a published work.

[0019] A "comment" is text-based feedback from other users on a published work.

[0020] "Notification" refers to the act of a system informing a user of the content of their reactions or comments.

[0021] A "time series" refers to an arrangement of events or data in the order in which they occurred.

[0022] "Values" refer to the beliefs and evaluation criteria held by users, and are an important element extracted from the content of the conversation.

[0023] Clustering is a technique for grouping similar data.

[0024] A "session" is a technology for managing the period during which a user accesses a system and performs certain operations.

Brief Description of the Drawings

[0025] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] [[ID=2.)3]]It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [[ID=z8]] [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. ' [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14]This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0026] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0027] First, let's explain the terminology used in the following explanation.

[0028] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0029] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0030] 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.

[0031] 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).

[0032] 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."

[0033] [First Embodiment]

[0034] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0035] 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.

[0036] 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).

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0042] 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.

[0043] 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.

[0044] 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.

[0045] 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".

[0046] This invention is a system that uses interactive generative AI to embody a user's life story and values ​​as narratives, paintings, and music, and then makes them publicly available. The main components of this system and their respective operations are described below.

[0047] System Configuration

[0048] 1. Interface for entering user information

[0049] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[0050] 2. Recording and saving the content of the conversation

[0051] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[0052] 3. Analysis of dialogue content and extraction of insights

[0053] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. This analysis reveals the user's values ​​and important life experiences.

[0054] 4. Organizing Information

[0055] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0056] 5. The creation of stories, paintings, and music

[0057] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the user's life story and values. These generated works are displayed in an interface for the user to review and adjust.

[0058] 6. Publication of generated works and feedback

[0059] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[0060] 7. Feedback notification

[0061] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[0062] Specific examples of program processing

[0063] Example 1: User "Mr. Sato's" experience

[0064] 1. Enter user information

[0065] Ms. Sato accesses the service from her device (smartphone) and registers by entering her name, email address, and password. The server saves Ms. Sato's information in its database and sends an authentication email for verification.

[0066] 2. Starting the dialogue

[0067] After completing authentication, Ms. Sato logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Sato replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0068] 3. Analysis of the dialogue content

[0069] The server analyzes the recorded conversation and extracts keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Mr. Sato's life in chronological order.

[0070] 4. Check the generated content

[0071] Based on the organized information, the generation AI generates stories and paintings based on travel memories. The generated works are displayed on the interface, and Ms. Sato reviews and makes adjustments.

[0072] 5. Publication of the work and feedback

[0073] After Ms. Sato reviews and adjusts her work, she presses the publish button, and the server uploads the work to the sharing platform. Other users can view it and leave comments such as, "What a wonderful memory!"

[0074] 6. Analysis and notification of feedback

[0075] The server analyzes the comments and notifies Mr. Sato. This allows Mr. Sato to feel connected to other users and promotes a deeper understanding of himself.

[0076] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others.

[0077] The following describes the processing flow.

[0078] Step 1:

[0079] User: A user accesses the system from their terminal and registers a new account by entering basic information such as their name, email address, and password into the interface.

[0080] Step 2:

[0081] Server: Stores the received user information in the database and creates a new user account. For verification, it generates an authentication email and sends it to the registered email address.

[0082] Step 3:

[0083] User: Check your email and click the authentication link. This will send an authentication request to the server.

[0084] Step 4:

[0085] Server: Verify the authentication link and activate the user account. Display an authentication complete message to the user and log them into the system.

[0086] Step 5:

[0087] User: After logging in, press the "Start Conversation" button. An interface for starting a conversation with the conversational AI will be displayed.

[0088] Step 6:

[0089] Server: Activates the conversational generation AI and displays a dialogue interface on the user's screen. The AI ​​displays questions such as, "What is your most important memory recently?"

[0090] Step 7:

[0091] User: Provides input in response to the AI's question. For example, they might answer, "Last summer, I went on a trip with my family."

[0092] Step 8:

[0093] Server: Records received conversations in real time and saves them to a database in text format.

[0094] Step 9:

[0095] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. For example, it identifies keywords such as "family trip" and "last summer."

[0096] Step 10:

[0097] Server: Based on the extracted information, organizes the dialogue content chronologically and according to values. The organized content is displayed on the user's confirmation screen.

[0098] Step 11:

[0099] User: Review the displayed organizational information and make corrections, additions, or deletions as needed.

[0100] Step 12:

[0101] Server: Provides verified information as input to the generating AI, which then generates stories, paintings, and music.

[0102] Step 13:

[0103] Server: Displays the generated stories, paintings, and music in the user interface. It also provides an interface for users to make adjustments.

[0104] Step 14:

[0105] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, press the publish button.

[0106] Step 15:

[0107] Server: When the publish button is pressed, the generated work is uploaded to the sharing platform, making it available for other users to view.

[0108] Step 16:

[0109] Other users: View published works and leave reactions and comments.

[0110] Step 17:

[0111] Server: Analyzes received reactions and comments and notifies the original user. The notification contains the key points of positive comments and reactions.

[0112] (Example 1)

[0113] 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."

[0114] In today's digitized society, there is a lack of means to creatively embody and share personal experiences and values ​​with others. Furthermore, the process of analyzing dialogue content and managing generated content is cumbersome, and there is a need for a system that is easy for users to use. This invention aims to solve these problems by providing a system that uses conversational generation AI to embody and efficiently manage and share users' life stories and values.

[0115] 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.

[0116] In this invention, the server includes means for displaying a terminal interface for inputting user information, means for recording the content of the conversation with the user and transmitting it to a central processing unit, means for storing the transmitted conversation content in a database, means for analyzing the recorded conversation content using a natural language processing algorithm and extracting keywords and important events, means for generating stories, paintings, and music using a generative AI model based on the extracted information, means for publishing the generated works from the central processing unit and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user via a notification system. This makes it possible to easily embody personal experiences and values ​​in a creative way and share them with others.

[0117] "Users" refers to individual people who use the system.

[0118] A "terminal interface" refers to a user interface used by users to input information or engage in dialogue.

[0119] A "central processing unit" refers to a computer device that manages and processes data for the entire system.

[0120] "Natural language processing algorithms" refer to computer program technologies used to understand, analyze, and process human language.

[0121] A "generative AI model" refers to an artificial intelligence model that generates stories, paintings, music, and other content based on input data.

[0122] A "database" refers to a storage system that manages and stores data such as conversation content and generated content.

[0123] A "notification system" refers to a mechanism that informs users of the results of the analysis of reactions and comments on the generated works.

[0124] "Reactions" refer to the reactions (e.g., likes, ratings) that other users show to the works they have created.

[0125] "Comments" refer to text-based feedback that other users write on the works they have created.

[0126] This invention is a system that embodies individual experiences and values ​​as stories, paintings, and music through dialogue with users, and shares them with others. This system mainly consists of a terminal interface, a central processing unit (server), a database, a natural language processing algorithm, a generative AI model, and a notification system.

[0127] First, the user enters basic information (name, email address, password, etc.) using the terminal interface. Specifically, a smartphone or personal computer can be used as the terminal, and the system is accessed via a browser or a dedicated application. The information entered by the user is sent to the server and stored in the database. Based on the stored information, the server sends an authentication email, and the user completes the authentication process.

[0128] Next, after the user completes authentication, they log in again to begin the conversation. The server activates the conversational generation AI and displays a prompt (for example, "What is your most important recent memory?"). The user enters their answer using the terminal interface and sends it to the server. This conversation is recorded in real time and stored in a database.

[0129] The server analyzes the stored dialogue content using natural language processing algorithms (e.g., spaCy, Google's Natural Language API). This analysis extracts keywords and important events from the dialogue. The extracted information is then organized chronologically as events in the user's life.

[0130] The organized information is input into a generative AI model (e.g., OpenAI's GPT-3®) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and make adjustments as needed.

[0131] Once a user has reviewed and is satisfied with their work, they can press the publish button, and the server will upload the work to the sharing platform. Other users can view the published work and react to it (e.g., like it) and leave comments. The server analyzes these reactions and comments and notifies the original user of the results via a notification system. Notifications are sent via email or in-app notifications.

[0132] This system allows users to easily embody and share their personal experiences and values ​​with others. Furthermore, they can deepen their self-understanding by receiving feedback from others.

[0133] Example of a prompt:

[0134] "Please tell me about a recent, cherished memory."

[0135] "What is the most memorable event in your life?"

[0136] "What are your most important values ​​and beliefs?"

[0137] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0138] Step 1:

[0139] Entering user information

[0140] A user accesses the system via a browser or application using a device (e.g., a smartphone or computer). The user fills out a form including their name, email address, and password, and presses the submit button. The entered data is sent from the device to the server. The server receives this data and stores it in a database. Based on the stored information, the server sends an authentication email to the user's email address.

[0141] Step 2:

[0142] Authentication process

[0143] The authentication process is completed when the user clicks the link in the authentication email they received. The user then accesses the system again through their browser and logs in. This login information is verified again by the server, and the user is authenticated.

[0144] Step 3:

[0145] Start of dialogue

[0146] After logging in, the user clicks the "Start Conversation" button displayed on the dashboard. The server activates the conversational generation AI and displays a prompt (e.g., "What is your most important recent memory?") on the terminal interface. The user answers the question using the conversational interface and submits the entered information. The submitted data is transferred to the server and recorded in the database.

[0147] Step 4:

[0148] Record of the conversation

[0149] The server receives the conversation content sent by the user and saves it to the database in real time. The saved conversation content is used as input data for the next analysis step.

[0150] Step 5:

[0151] Analysis of dialogue content

[0152] The server sends the saved dialogue to a natural language processing algorithm (e.g., spaCy, Google's Natural Language API) for analysis. This analysis extracts keywords and important events from the dialogue. For example, keywords such as "family trip" and "last summer" are analyzed. These results are organized in a database based on chronological order and values, and stored as the data that forms the basis of generated content.

[0153] Step 6:

[0154] Review and adjust generated content

[0155] The server inputs the analyzed information into a generating AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and modify, add, or delete as needed. For example, the user can adjust the colors of a generated painting or the details of a story.

[0156] Step 7:

[0157] Release of the work

[0158] The user reviews the generated work and, if satisfied, presses the publish button. The server uploads the work to the sharing platform. The uploaded work is then made public and viewable by other users.

[0159] Step 8:

[0160] Receiving and analyzing feedback

[0161] The server receives reactions and comments from other users. The received feedback is analyzed using natural language processing algorithms to organize users' responses and opinions.

[0162] Step 9:

[0163] Feedback notification

[0164] The server notifies the original user of the analyzed feedback. This notification is sent via email or in-app notification, allowing the user to see how others are responding. This enables users to deepen their self-understanding while continuing to interact with others.

[0165] The above outlines the specific processing steps of this system's program.

[0166] (Application Example 1)

[0167] 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."

[0168] In modern society, individual self-expression and self-exploration are extremely important, but the platforms for realizing them are limited. In particular, there are no systems that use conversational generative AI to embody one's values ​​and experiences as stories, paintings, and music, and share them with others. Furthermore, there is a lack of functionality to notify users of reactions and comments from others on the generated content in real time. There is a need for a system that fills these gaps and promotes individual self-expression and communication.

[0169] 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.

[0170] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for analyzing the recorded conversation content and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for providing an interface for sharing the generated works with other users, means for notifying comments and reactions from other users in real time, means for providing an interface for users to review and adjust works generated based on their own stories and values, and means for implementation as an application that runs on a mobile device including a smartphone. This enables users to embody self-expression, share it with others, and receive feedback in real time. It can also promote communication with others and support self-exploration.

[0171] A "user" refers to an individual who uses the system to input their own stories and values, and then embodies and publishes them.

[0172] "Interface" refers to a screen display method used by users to input information or to review and adjust generated content.

[0173] "Dialogue content" refers to the text data of questions and answers exchanged between the user and the conversational AI.

[0174] A "database" refers to a data storage system used to save and manage dialogue content, reactions, and comment information.

[0175] "Generative AI" refers to artificial intelligence that generates stories, paintings, and music based on input data and conversation content.

[0176] "Publishing" refers to the act of making a created work available for other users to view.

[0177] "Reactions" refer to actions such as evaluations and feedback that other users give to publicly available works.

[0178] "Comments" refer to the act of other users expressing their thoughts and opinions on publicly available works in text format.

[0179] "Notification" refers to the act of informing users that a reaction or comment has occurred.

[0180] "Means of providing an interface" refers to a screen display system that allows users to check and adjust the generated work.

[0181] "Mobile devices" refers to mobile devices such as smartphones and tablets.

[0182] This invention is a system that uses interactive generative AI to embody users' life stories and values ​​as narratives, paintings, and music, and then publishes and shares them. This system is implemented as an application that runs on mobile devices, including smartphones.

[0183] The specific configuration and operation of this invention are described in detail below.

[0184] System Configuration

[0185] 1. Enter and register user information

[0186] The server uses an interface built with React Native to provide a screen where users can enter basic information such as their name, email address, and password. The information entered by users is securely stored in a database using AWS® or Firebase.

[0187] 2. Initiating and recording the dialogue

[0188] Conversational generative AI (e.g., OpenAI GPT-4®) is run on a server, receives input from the user in real time, and records the conversation. The recorded conversation is stored in a database.

[0189] 3. Analysis of the dialogue content

[0190] The server uses natural language processing (NLP) libraries (e.g., SpaCy or NLTK) to analyze the recorded dialogue and extract keywords and important events.

[0191] 4. Content Generation

[0192] The server uses generative AI (e.g., DALL-E and MuseNet) to generate stories, paintings, and music based on extracted information. The generated content is displayed in an interface that users can review and adjust.

[0193] 5. Sharing and Feedback

[0194] The generated artwork is shared with other users within the app via the server. Other users can comment on and react to the published artwork. Comments and reactions are notified to the user in real time.

[0195] Specific example

[0196] For example, suppose a user inputs a memory of a fireworks display they watched with their family when they were a child. Based on this episode, the generating AI creates a painting of a night sky with beautiful fireworks and music that matches it. The user can then share this with friends and family and relive that moving episode.

[0197] Example of a prompt

[0198] "Please tell us about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives."

[0199] Such a system allows users to materialize their self-expression, share it with others, and receive real-time feedback. It also facilitates communication with others and supports self-exploration.

[0200] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0201] Step 1:

[0202] The user launches the application on their device and enters basic information such as their name, email address, and password on the new registration screen. The server stores this input information in a database using AWS or Firebase and sends an authentication email to the user. The input data is the user's personal information, and the output is the user record stored in the database.

[0203] Step 2:

[0204] After completing authentication, the user logs into the application and begins interacting with the conversational AI. The server displays a dialogue interface and presents questions such as, "What is your most important recent memory?" The user's responses (in text format) are sent to the server in real time and stored in the database. The input data is the user's answer text, and the output is the dialogue content recorded in the database.

[0205] Step 3:

[0206] The server analyzes the stored dialogue content using natural language processing (NLP) algorithms (e.g., SpaCy, NLTK) to extract important keywords and events. In this step, the input data is the dialogue content in text format, and the output is a list of extracted keywords and important events.

[0207] Step 4:

[0208] The server generates stories, paintings, and music using generative AI models (e.g., DALL-E, MuseNet) based on the extracted information. This generation process also includes providing prompts to the generative AI models. For example, a prompt might be, "Tell me about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives." The input data consists of a list of keywords and important events, and the output is the generated story, painting, and music.

[0209] Step 5:

[0210] The generated stories, images, and music are displayed to the user through the terminal's interface. The user reviews the generated content and, if necessary, makes adjustments. This adjustment data is sent to the server and saved as the final content. The input data consists of the generated content and the user's adjustment instructions, while the output is the final content.

[0211] Step 6:

[0212] When a user publishes generated content, the server uploads that content to the sharing platform. Other users can view the published content and leave comments and reactions. The input data in this step is the final content, and the output is the published state on the sharing platform.

[0213] Step 7:

[0214] The server analyzes comments and reactions from other users and notifies the original user in real time. This allows users to receive feedback from others and deepen their interactions. The input data consists of comments and reactions from other users, and the output is a notification message.

[0215] 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.

[0216] This invention is a system that uses a user-interactive generative AI and emotion engine to embody a user's life story and values ​​as narratives, paintings, and music, and then publish them. The main components of this system and their respective operations are described below.

[0217] System Configuration

[0218] 1. Interface for entering user information

[0219] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[0220] 2. Recording and saving the content of the conversation

[0221] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[0222] 3. Recognition of emotions

[0223] Server: During the conversation, the server activates an emotion engine that recognizes emotions from the user's facial expressions and voice, and incorporates that information into the analysis.

[0224] 4. Analysis of dialogue content and extraction of insights

[0225] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. This analysis reveals the user's values ​​and important life experiences.

[0226] 5. Organizing Information

[0227] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0228] 6. The creation of stories, paintings, and music

[0229] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for users to review and adjust.

[0230] 7. Publication of generated works and feedback

[0231] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[0232] 8. Feedback Notification

[0233] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[0234] Specific examples of program processing

[0235] Example 1: User "Yamada-san's" experience

[0236] 1. Enter user information

[0237] Ms. Yamada accesses the service from her device (smartphone), enters her name, email address, and password, and registers as a new user. The server saves Ms. Yamada's information in its database and sends a verification email.

[0238] 2. Starting the dialogue

[0239] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0240] 3. Recognition and Analysis of Emotions

[0241] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[0242] 4. Analysis of the dialogue content

[0243] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[0244] 5. Check the generated content

[0245] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. Furthermore, works with a bright tone based on the recognized emotion of "joy" are generated. The generated works are displayed on the interface, and Yamada reviews and makes adjustments.

[0246] 6. Publication of the work and feedback

[0247] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[0248] 7. Analysis and notification of feedback

[0249] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[0250] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others. The introduction of an emotion engine enables deeper dialogue and the creation of works that reflect the user's emotions and feelings.

[0251] The following describes the processing flow.

[0252] Step 1:

[0253] User: The user accesses the system from their device (smartphone or PC) and enters basic information such as their name, email address, and password to register.

[0254] Step 2:

[0255] Server: Stores received user information in the database and creates a new user account. Generates a verification email and sends it to the registered email address.

[0256] Step 3:

[0257] User: Check your email and click the authentication link to send an authentication request to the server.

[0258] Step 4:

[0259] Server: Verify the validity of the authentication link and activate the user account. Display an authentication complete message and allow login to the system.

[0260] Step 5:

[0261] User: After logging in, press the "Start Conversation" button. An interface will appear to begin the conversation with the AI.

[0262] Step 6:

[0263] Server: Activates the conversational generation AI and displays questions such as "What is your most important recent memory?" on the user's screen.

[0264] Step 7:

[0265] User: In response to the AI's question, enter an answer such as, "I went on a trip with my family last summer."

[0266] Step 8:

[0267] Server: Receives user input and saves the conversation content to the database in real time in text format.

[0268] Step 9:

[0269] Server: Activates the emotion engine and recognizes emotions such as "joy" from the user's facial expressions and voice. This emotion information is also stored in the database.

[0270] Step 10:

[0271] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords such as "family trip" and "last summer," as well as important events.

[0272] Step 11:

[0273] Server: Organizes the extracted information based on chronological order and values, displays it on the interface, and asks the user for confirmation.

[0274] Step 12:

[0275] User: Check the organized information, add any missing content, and make corrections or deletions as necessary.

[0276] Step 13:

[0277] Server: Input the confirmed information and sentiment information into the generation AI to generate stories, paintings, and music. The generated content reflects the recognized sentiment such as "joy".

[0278] Step 14:

[0279] Server: Display the generated stories, paintings, and music on the user interface and permit the user to perform operations for confirmation and adjustment.

[0280] Step 15:

[0281] User: Check the generated works and make adjustments as necessary. Once the adjustment is complete, press the "Publish" button.

[0282] Step 16:

[0283] Server: When the user presses the "Publish" button, upload the generated work to the sharing platform so that other users can view it.

[0284] Step 17:

[0285] Other user: View the published work and give reactions (such as "like") and comments.

[0286] Step 18:

[0287] Server: Analyze the received reactions and comments and notify the original user. The notification includes the key points of favorable comments and reactions.

[0288] (Example 2)

[0289] 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".

[0290] Traditional self-expression tools and systems often required users to organize and express information themselves, placing a significant burden on them. Furthermore, they struggled to generate content that deeply reflected users' emotions and feelings. This resulted in the challenge of effectively sharing individual values ​​and experiences with others.

[0291] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for recognizing emotions from the user's facial expressions and voice during the conversation, means for analyzing the recorded conversation content and recognized emotions and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user. This makes it possible to generate content that deeply reflects the user's emotions and values, and to effectively share individual values ​​and experiences with others.

[0292] A "user" is a person who uses the system to input information and engage in dialogue.

[0293] An "interface" is a screen or tool that a user uses to input information or interact with a system.

[0294] A "server" is a computer system that manages the processing of the entire system, stores and analyzes data, and publishes generated content.

[0295] "Dialogue content" refers to the content of text, audio, and visual communication that takes place between the user and the system.

[0296] A "database" is a system for structuring and storing dialogue and other data recorded within a system.

[0297] "Emotions" refer to emotional responses such as joy, sadness, and surprise that users exhibit during a conversation.

[0298] "Means of recognizing emotions" refer to technologies and algorithms that analyze changes in a user's facial expressions and voice to identify their emotions.

[0299] Natural Language Processing (NLP) is a technique for analyzing recorded dialogue content and extracting keywords and important events.

[0300] "Keywords" are important words or phrases extracted from the content of a conversation.

[0301] "Extracted information" refers to keywords and important events obtained through dialogue content and sentiment analysis.

[0302] "Stories, paintings, and music" are content created based on information extracted using generative AI models.

[0303] A "generative AI model" is an artificial intelligence algorithm that generates content based on the user's experiences and emotions.

[0304] A "prompt statement" is a text-based instruction given to a generative AI model.

[0305] "Means of publication" refers to a mechanism that allows other users to view the generated content.

[0306] "Reactions" refer to comments and evaluations that other users give to the generated content.

[0307] A "comment" is a text message posted in response to content generated by other users.

[0308] The "means of notification" is a mechanism that analyzes reactions and comments from other users and conveys them to the original user.

[0309] The present invention is a system that uses a user, a dialogue generation AI, and an emotion engine to embody the user's life story and values as stories, paintings, and music and publishes them. The specific components of this system and their respective operations will be described.

[0310] System Configuration

[0311] 1. Interface for inputting user information

[0312] Terminal (e.g., smartphone or PC): It is an interface through which the user accesses the system from the terminal via a browser or an app and inputs basic information such as name, email address, and password.

[0313] The server receives this information, stores it in the database, and sends an authentication email.

[0314] 2. Recording and saving of dialogue content

[0315] The server records in real time the dialogue content between the user and the dialogue generation AI and saves it in the database in text format. As a result, the user's inputs and the AI's responses are sequentially accumulated.

[0316] The dialogue generation AI uses, for example, OpenAI's GPT model.

[0317] 3. Recognition of emotions

[0318] The server activates an emotion engine that recognizes emotions from the user's facial expressions and voice during the conversation, and incorporates that information into the analysis. Examples of emotion engines used include Amazon Rekognition and the Google Vision API.

[0319] 4. Analysis of dialogue content and extraction of insights

[0320] The server analyzes the recorded dialogue and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. Spacy and NLTK can be used as NLP algorithms.

[0321] This reveals the user's values ​​and important life experiences.

[0322] 5. Organizing Information

[0323] The server organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0324] 6. The creation of stories, paintings, and music

[0325] The server inputs the organized information into a generating AI (such as DALL-E or MusicVAE), which then generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for the user to review and adjust.

[0326] 7. Publication of generated works and feedback

[0327] The server uploads the works that users have finalized and adjusted to the system's sharing platform, making them available for other users to view. Other users can react to and comment on the published works.

[0328] 8. Feedback Notification

[0329] The server analyzes the reactions and comments it receives and notifies the original users. This allows for continuous interaction even after the work has been published.

[0330] Specific example

[0331] For example, if user "Yamada-san" uses the system:

[0332] 1. Enter user information

[0333] Ms. Yamada accesses the service from her smartphone and registers by entering her name, email address, and password. The server saves Ms. Yamada's information in its database and sends a verification email.

[0334] 2. Starting the dialogue

[0335] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0336] 3. Recognition and Analysis of Emotions

[0337] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[0338] 4. Analysis of the dialogue content

[0339] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[0340] 5. The creation of stories, paintings, and music

[0341] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. The resulting works have a bright tone, reflecting the recognized emotion of "joy."

[0342] Example prompt: "Please create a story about a trip you took last summer to the beach with your family, where you made wonderful memories. The emotion should be 'joy,' and the story should be told from Yamada's perspective."

[0343] 6. Publication of the work and feedback

[0344] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[0345] 7. Analysis and notification of feedback

[0346] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[0347] Thus, the present invention enables the creation of content that deeply reflects the emotions and values ​​of users, and provides a system that allows individuals to effectively share their values ​​and experiences with others.

[0348] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0349] Step 1:

[0350] Entering user information

[0351] Users access the system from their devices (smartphones, PCs, etc.) via a browser or app and enter their name, email address, and password.

[0352] Input: User's name, email address, password

[0353] Processing: The server receives this information, converts it to the appropriate format, and stores it in the database.

[0354] Output: An authentication email is sent to the user for verification.

[0355] Step 2:

[0356] Login and Authentication

[0357] Users who receive the verification email click the link in the email to complete the verification process. Next, the user logs in using the email address and password they entered.

[0358] Input: Click the authentication link, login information (email address, password)

[0359] Process: The server verifies the authentication credentials and activates the user account.

[0360] Output: The dashboard screen is displayed along with a message indicating successful login.

[0361] Step 3:

[0362] Start of dialogue

[0363] Once authentication is complete, the user presses the "Start Interaction" button on the dashboard.

[0364] Input: Instruction to start the conversation

[0365] Processing: The server activates the conversational generation AI and displays the initial question in the conversational interface.

[0366] Output: An initial question such as "What is your most important recent memory?" is displayed on the user's terminal.

[0367] Step 4:

[0368] Recording and saving the content of the conversation

[0369] The user enters their answer to the initial question.

[0370] Input: User's response (Example: "I went on a trip with my family last summer.")

[0371] Processing: The server records this conversation in real time and saves it to the database in text format.

[0372] Output: The recorded dialogue is saved to the database.

[0373] Step 5:

[0374] Recognition of emotions

[0375] The server activates an emotion engine during the conversation and collects the user's facial expressions and voice through the webcam and microphone.

[0376] Input: User facial expression data, voice data

[0377] Processing: Analysis is performed using an emotion engine (e.g., Amazon Rekognition or Google Vision API) to recognize the user's emotions.

[0378] Output: Recognized emotion data (e.g., "joy") is recorded and stored in a database.

[0379] Step 6:

[0380] Analysis of dialogue content and emotional data

[0381] The server analyzes the recorded dialogue content and emotional data.

[0382] Input: Recorded conversation content, emotion data

[0383] Processing: Keywords and important events are extracted using natural language processing (NLP) algorithms (e.g., Spacy or NLTK).

[0384] Output: Extracted keywords and event data (e.g., "family trip", "last summer")

[0385] Step 7:

[0386] Information organization

[0387] The server organizes the extracted keywords and event data based on chronological order and value.

[0388] Input: Extracted keywords, event data

[0389] Processing: Organize data chronologically and according to values, and display it on the user's confirmation screen.

[0390] Output: The organized information is displayed on the user's confirmation screen.

[0391] Step 8:

[0392] Review and adjust generated content

[0393] Users can review the organized information and modify, add, or delete it as needed.

[0394] Input: User instructions for modification, addition, and deletion.

[0395] Processing: The server saves the corrected information back to the database.

[0396] Output: The corrected information is saved to the database.

[0397] Step 9:

[0398] The creation of stories, paintings, and music

[0399] The server inputs the organized information into a generating AI model and creates prompt messages.

[0400] Input: Organized information, recognized emotion data

[0401] Processing: Send prompt text to a generative AI model (e.g., DALL-E, GPT-3, MusicVAE) to generate stories, paintings, and music.

[0402] Output: The generated story, painting, and music are displayed in the user's confirmation interface.

[0403] Step 10:

[0404] Release of generated works

[0405] The user reviews the generated content and finally presses the publish button.

[0406] Input: Publication instructions

[0407] Processing: The server uploads the content to the sharing platform.

[0408] Output: The generated content becomes viewable by other users.

[0409] Step 11:

[0410] Gathering and notifying feedback

[0411] Other users can react to and comment on the published content.

[0412] Input: Reactions and comments from other users

[0413] Processing: The server analyzes the received reactions and comments and notifies the original user.

[0414] Output: A feedback notification is sent to the original user.

[0415] (Application Example 2)

[0416] 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".

[0417] In recent years, there has been a growing demand to propose products and services that meet the individual needs and emotions of consumers. However, current systems make it difficult to accurately grasp consumers' emotions and values ​​and to continuously provide optimal proposals based on them. Furthermore, there is a lack of effective methods for analyzing information obtained through dialogue with consumers and reflecting it in concrete proposals. As a result, it is difficult to increase consumer satisfaction and purchasing intent.

[0418] 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.

[0419] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of the interaction with the user and storing it in a database, means for analyzing the recorded content of the interaction and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for proposing products and services based on the interaction with the user, and means for re-analyzing the customer's reaction to the proposed products and services based on the analysis results. This makes it possible to propose products and services that are individually optimized based on the consumer's emotions and values.

[0420] "An interface for entering user information" refers to a screen or input device through which a user accesses the system and enters their personal information.

[0421] "Means for recording dialogue content and saving it in a database" refers to a system for recording the content of conversations with users in real time and saving it electronically.

[0422] "Methods for analyzing recorded dialogue content and extracting keywords and important events" refers to technologies that analyze saved dialogue content and automatically extract important information and events from it.

[0423] "Means for generating stories, paintings, and music" refers to methods and devices for generating new creative works such as stories, paintings, and music based on analyzed information.

[0424] "A means of publishing generated works and allowing other users to react and comment" refers to technology that allows generated creative works to be published via the internet or other means, enabling other users to view them and post their impressions and comments.

[0425] "Means of analyzing reactions and comments and notifying users" refers to a system that analyzes feedback from other users and informs the initial user of the results.

[0426] "Methods for proposing products and services" refer to technologies for selecting and proposing appropriate products and services based on the content of user conversations and the results of their analysis.

[0427] "Methods for reanalyzing customer responses" refer to techniques that involve re-analyzing customer reactions to proposed products or services and providing feedback based on those results.

[0428] The system for carrying out this invention includes the following main components:

[0429] User information input interface

[0430] The server provides an interface for users to input basic information such as their name and age through devices like smart glasses. This information is personalized based on analysis of the conversation and product / service recommendations.

[0431] Recording and saving the content of the conversation

[0432] The terminal records the content of the conversation with the user in real time and saves it to the server's database. This conversation content is used for subsequent analysis.

[0433] Recognition of emotions

[0434] The server uses an emotion engine to recognize emotions from the user's facial expressions and voice. For example, smart glasses equipped with a camera and microphone are used. This emotional information is also recorded and incorporated into the analysis.

[0435] Analysis of dialogue content and extraction of insights

[0436] The server analyzes the stored dialogue content and recognized emotions, extracting keywords and important events. This is done using natural language processing (NLP) algorithms.

[0437] Information organization

[0438] The server organizes the user's values ​​and important experiences in chronological order based on extracted keywords and key events.

[0439] Product and service proposals

[0440] The server suggests appropriate products and services to the user based on organized information. Here, a generative AI model is used to generate prompts that align with the user's values ​​and emotions. For example:

[0441] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[0442] Review and adjust generated content

[0443] The generated product and service suggestions are displayed on the terminal interface, allowing users to review and adjust them.

[0444] Publication of the work and feedback

[0445] Detailed information about the suggested product or service is published, and reactions and comments from other users are collected. This feedback is then analyzed again and communicated to the original user.

[0446] Conduct a reanalysis

[0447] By reanalyzing customer reactions to proposed products and services and providing feedback to users based on the results, further optimization can be achieved.

[0448] In this way, it becomes possible to propose products and services that are individually optimized based on the user's emotions and values, thereby achieving higher customer satisfaction.

[0449] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0450] Step 1:

[0451] The server displays an interface for users to input their information using smart glasses. Users enter basic information such as their name, age, and gender. The entered data is sent to the server and stored in the database.

[0452] Input: Basic information such as name, age, and gender

[0453] Output: User information stored in the database

[0454] Step 2:

[0455] The terminal records the conversation with the user in real time and sends that data to the server. The server saves this conversation in text format to a database.

[0456] Input: Dialogue content

[0457] Output: Dialogue text saved in the database

[0458] Step 3:

[0459] The server activates an emotion engine and analyzes the user's emotions from their facial expressions and voice. It uses the smart glasses' camera and microphone to collect data and saves the analysis results to a database.

[0460] Input: User's facial expressions and voice data

[0461] Output: Analyzed sentiment data

[0462] Step 4:

[0463] The server analyzes the recorded dialogue and sentiment data, and uses NLP algorithms to extract keywords and important events. The extracted information is organized chronologically and stored in a database.

[0464] Input: Dialogue text, sentiment data

[0465] Output: Extracted keywords, key events, organized data

[0466] Step 5:

[0467] The server uses a generative AI model to generate stories, paintings, and music based on extracted keywords and key events. This generated content is displayed on the device interface for the user to review and adjust.

[0468] Input: Keywords, important events

[0469] Output: Generated story, painting, music

[0470] Step 6:

[0471] The device publishes the generated work, allowing other users to view and comment on it. The server collects and analyzes these reactions and comments.

[0472] Input: Published works, reactions and comments from other users

[0473] Output: Analyzed reaction and comment data

[0474] Step 7:

[0475] The server notifies the original user of the analyzed reaction and comment data. It also displays the user's information again on the interface if further review or adjustments are needed.

[0476] Input: Analyzed reaction and comment data

[0477] Output: Notified feedback, display content for readjustment

[0478] Step 8:

[0479] The server suggests products and services based on interaction with the user. This suggestion uses a generative AI model to generate prompts, presenting individually optimized products and services. The following prompts are used as an example:

[0480] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[0481] Input: Dialogue content, analysis results

[0482] Output: Proposed products and services

[0483] Step 9:

[0484] The server re-analyzes customer reactions to the proposed products and services. Based on the results of the re-analysis, it performs further optimization and sends feedback to the user.

[0485] Input: Customer response data

[0486] Output: Reanalysis results, feedback content

[0487] 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.

[0488] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0489] 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.

[0490] [Second Embodiment]

[0491] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0492] 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.

[0493] 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).

[0494] 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.

[0495] 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.

[0496] 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).

[0497] 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.

[0498] 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.

[0499] 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.

[0500] 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.

[0501] 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.

[0502] 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".

[0503] This invention is a system that uses interactive generative AI to embody a user's life story and values ​​as narratives, paintings, and music, and then makes them publicly available. The main components of this system and their respective operations are described below.

[0504] System Configuration

[0505] 1. Interface for entering user information

[0506] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[0507] 2. Recording and saving the content of the conversation

[0508] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[0509] 3. Analysis of dialogue content and extraction of insights

[0510] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. This analysis reveals the user's values ​​and important life experiences.

[0511] 4. Organizing Information

[0512] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0513] 5. The creation of stories, paintings, and music

[0514] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the user's life story and values. These generated works are displayed in an interface for the user to review and adjust.

[0515] 6. Publication of generated works and feedback

[0516] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[0517] 7. Feedback notification

[0518] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[0519] Specific examples of program processing

[0520] Example 1: User "Mr. Sato's" experience

[0521] 1. Enter user information

[0522] Ms. Sato accesses the service from her device (smartphone) and registers by entering her name, email address, and password. The server saves Ms. Sato's information in its database and sends an authentication email for verification.

[0523] 2. Starting the dialogue

[0524] After completing authentication, Ms. Sato logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Sato replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0525] 3. Analysis of the dialogue content

[0526] The server analyzes the recorded conversation and extracts keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Mr. Sato's life in chronological order.

[0527] 4. Check the generated content

[0528] Based on the organized information, the generation AI generates stories and paintings based on travel memories. The generated works are displayed on the interface, and Ms. Sato reviews and makes adjustments.

[0529] 5. Publication of the work and feedback

[0530] After Ms. Sato reviews and adjusts her work, she presses the publish button, and the server uploads the work to the sharing platform. Other users can view it and leave comments such as, "What a wonderful memory!"

[0531] 6. Analysis and notification of feedback

[0532] The server analyzes the comments and notifies Mr. Sato. This allows Mr. Sato to feel connected to other users and promotes a deeper understanding of himself.

[0533] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others.

[0534] The following describes the processing flow.

[0535] Step 1:

[0536] User: A user accesses the system from their terminal and registers a new account by entering basic information such as their name, email address, and password into the interface.

[0537] Step 2:

[0538] Server: Stores the received user information in the database and creates a new user account. For verification, it generates an authentication email and sends it to the registered email address.

[0539] Step 3:

[0540] User: Check your email and click the authentication link. This will send an authentication request to the server.

[0541] Step 4:

[0542] Server: Verify the authentication link and activate the user account. Display an authentication complete message to the user and log them into the system.

[0543] Step 5:

[0544] User: After logging in, press the "Start Conversation" button. An interface for starting a conversation with the conversational AI will be displayed.

[0545] Step 6:

[0546] Server: Activates the conversational generation AI and displays a dialogue interface on the user's screen. The AI ​​displays questions such as, "What is your most important memory recently?"

[0547] Step 7:

[0548] User: Provides input in response to the AI's question. For example, they might answer, "Last summer, I went on a trip with my family."

[0549] Step 8:

[0550] Server: Records received conversations in real time and saves them to a database in text format.

[0551] Step 9:

[0552] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. For example, it identifies keywords such as "family trip" and "last summer."

[0553] Step 10:

[0554] Server: Based on the extracted information, organizes the dialogue content chronologically and according to values. The organized content is displayed on the user's confirmation screen.

[0555] Step 11:

[0556] User: Review the displayed organizational information and make corrections, additions, or deletions as needed.

[0557] Step 12:

[0558] Server: Provides verified information as input to the generating AI, which then generates stories, paintings, and music.

[0559] Step 13:

[0560] Server: Displays the generated stories, paintings, and music in the user interface. It also provides an interface for users to make adjustments.

[0561] Step 14:

[0562] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, press the publish button.

[0563] Step 15:

[0564] Server: When the publish button is pressed, the generated work is uploaded to the sharing platform, making it available for other users to view.

[0565] Step 16:

[0566] Other users: View published works and leave reactions and comments.

[0567] Step 17:

[0568] Server: Analyzes received reactions and comments and notifies the original user. The notification contains the key points of positive comments and reactions.

[0569] (Example 1)

[0570] 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."

[0571] In today's digitized society, there is a lack of means to creatively embody and share personal experiences and values ​​with others. Furthermore, the process of analyzing dialogue content and managing generated content is cumbersome, and there is a need for a system that is easy for users to use. This invention aims to solve these problems by providing a system that uses conversational generation AI to embody and efficiently manage and share users' life stories and values.

[0572] 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.

[0573] In this invention, the server includes means for displaying a terminal interface for inputting user information, means for recording the content of the conversation with the user and transmitting it to a central processing unit, means for storing the transmitted conversation content in a database, means for analyzing the recorded conversation content using a natural language processing algorithm and extracting keywords and important events, means for generating stories, paintings, and music using a generative AI model based on the extracted information, means for publishing the generated works from the central processing unit and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user via a notification system. This makes it possible to easily embody personal experiences and values ​​in a creative way and share them with others.

[0574] "Users" refers to individual people who use the system.

[0575] A "terminal interface" refers to a user interface used by users to input information or engage in dialogue.

[0576] A "central processing unit" refers to a computer device that manages and processes data for the entire system.

[0577] "Natural language processing algorithms" refer to computer program technologies used to understand, analyze, and process human language.

[0578] A "generative AI model" refers to an artificial intelligence model that generates stories, paintings, music, and other content based on input data.

[0579] A "database" refers to a storage system that manages and stores data such as conversation content and generated content.

[0580] A "notification system" refers to a mechanism that informs users of the results of the analysis of reactions and comments on the generated works.

[0581] "Reactions" refer to the reactions (e.g., likes, ratings) that other users show to the works they have created.

[0582] "Comments" refer to text-based feedback that other users write on the works they have created.

[0583] This invention is a system that embodies individual experiences and values ​​as stories, paintings, and music through dialogue with users, and shares them with others. This system mainly consists of a terminal interface, a central processing unit (server), a database, a natural language processing algorithm, a generative AI model, and a notification system.

[0584] First, the user enters basic information (name, email address, password, etc.) using the terminal interface. Specifically, a smartphone or personal computer can be used as the terminal, and the system is accessed via a browser or a dedicated application. The information entered by the user is sent to the server and stored in the database. Based on the stored information, the server sends an authentication email, and the user completes the authentication process.

[0585] Next, after the user completes authentication, they log in again to begin the conversation. The server activates the conversational generation AI and displays a prompt (for example, "What is your most important recent memory?"). The user enters their answer using the terminal interface and sends it to the server. This conversation is recorded in real time and stored in a database.

[0586] The server analyzes the stored dialogue content using natural language processing algorithms (e.g., spaCy, Google's Natural Language API). This analysis extracts keywords and important events from the dialogue. The extracted information is then organized chronologically as events in the user's life.

[0587] The organized information is input into a generative AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and make adjustments as needed.

[0588] Once a user has reviewed and is satisfied with their work, they can press the publish button, and the server will upload the work to the sharing platform. Other users can view the published work and react to it (e.g., like it) and leave comments. The server analyzes these reactions and comments and notifies the original user of the results via a notification system. Notifications are sent via email or in-app notifications.

[0589] This system allows users to easily embody and share their personal experiences and values ​​with others. Furthermore, they can deepen their self-understanding by receiving feedback from others.

[0590] Example of a prompt:

[0591] "Please tell me about a recent, cherished memory."

[0592] "What is the most memorable event in your life?"

[0593] "What are your most important values ​​and beliefs?"

[0594] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0595] Step 1:

[0596] Entering user information

[0597] A user accesses the system via a browser or application using a device (e.g., a smartphone or computer). The user fills out a form including their name, email address, and password, and presses the submit button. The entered data is sent from the device to the server. The server receives this data and stores it in a database. Based on the stored information, the server sends an authentication email to the user's email address.

[0598] Step 2:

[0599] Authentication process

[0600] The authentication process is completed when the user clicks the link in the authentication email they received. The user then accesses the system again through their browser and logs in. This login information is verified again by the server, and the user is authenticated.

[0601] Step 3:

[0602] Start of dialogue

[0603] After logging in, the user clicks the "Start Conversation" button displayed on the dashboard. The server activates the conversational generation AI and displays a prompt (e.g., "What is your most important recent memory?") on the terminal interface. The user answers the question using the conversational interface and submits the entered information. The submitted data is transferred to the server and recorded in the database.

[0604] Step 4:

[0605] Record of the conversation

[0606] The server receives the conversation content sent by the user and saves it to the database in real time. The saved conversation content is used as input data for the next analysis step.

[0607] Step 5:

[0608] Analysis of dialogue content

[0609] The server sends the saved dialogue to a natural language processing algorithm (e.g., spaCy, Google's Natural Language API) for analysis. This analysis extracts keywords and important events from the dialogue. For example, keywords such as "family trip" and "last summer" are analyzed. These results are organized in a database based on chronological order and values, and stored as the data that forms the basis of generated content.

[0610] Step 6:

[0611] Review and adjust generated content

[0612] The server inputs the analyzed information into a generating AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and modify, add, or delete as needed. For example, the user can adjust the colors of a generated painting or the details of a story.

[0613] Step 7:

[0614] Release of the work

[0615] The user reviews the generated work and, if satisfied, presses the publish button. The server uploads the work to the sharing platform. The uploaded work is then made public and viewable by other users.

[0616] Step 8:

[0617] Receiving and analyzing feedback

[0618] The server receives reactions and comments from other users. The received feedback is analyzed using natural language processing algorithms to organize users' responses and opinions.

[0619] Step 9:

[0620] Feedback notification

[0621] The server notifies the original user of the analyzed feedback. This notification is sent via email or in-app notification, allowing the user to see how others are responding. This enables users to deepen their self-understanding while continuing to interact with others.

[0622] The above outlines the specific processing steps of this system's program.

[0623] (Application Example 1)

[0624] 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."

[0625] In modern society, individual self-expression and self-exploration are extremely important, but the platforms for realizing them are limited. In particular, there are no systems that use conversational generative AI to embody one's values ​​and experiences as stories, paintings, and music, and share them with others. Furthermore, there is a lack of functionality to notify users of reactions and comments from others on the generated content in real time. There is a need for a system that fills these gaps and promotes individual self-expression and communication.

[0626] 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.

[0627] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for analyzing the recorded conversation content and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for providing an interface for sharing the generated works with other users, means for notifying comments and reactions from other users in real time, means for providing an interface for users to review and adjust works generated based on their own stories and values, and means for implementation as an application that runs on a mobile device including a smartphone. This enables users to embody self-expression, share it with others, and receive feedback in real time. It can also promote communication with others and support self-exploration.

[0628] A "user" refers to an individual who uses the system to input their own stories and values, and then embodies and publishes them.

[0629] "Interface" refers to a screen display method used by users to input information or to review and adjust generated content.

[0630] "Dialogue content" refers to the text data of questions and answers exchanged between the user and the conversational AI.

[0631] A "database" refers to a data storage system used to save and manage dialogue content, reactions, and comment information.

[0632] "Generative AI" refers to artificial intelligence that generates stories, paintings, and music based on input data and conversation content.

[0633] "Publishing" refers to the act of making a created work available for other users to view.

[0634] "Reactions" refer to actions such as evaluations and feedback that other users give to publicly available works.

[0635] "Comments" refer to the act of other users expressing their thoughts and opinions on publicly available works in text format.

[0636] "Notification" refers to the act of informing users that a reaction or comment has occurred.

[0637] "Means of providing an interface" refers to a screen display system that allows users to check and adjust the generated work.

[0638] "Mobile devices" refers to mobile devices such as smartphones and tablets.

[0639] This invention is a system that uses interactive generative AI to embody users' life stories and values ​​as narratives, paintings, and music, and then publishes and shares them. This system is implemented as an application that runs on mobile devices, including smartphones.

[0640] The specific configuration and operation of this invention are described in detail below.

[0641] System Configuration

[0642] 1. Enter and register user information

[0643] The server uses an interface built with React Native to provide a screen where users can enter basic information such as their name, email address, and password. The information entered by users is securely stored in a database using AWS or Firebase.

[0644] 2. Initiating and recording the dialogue

[0645] Conversational generative AI (e.g., OpenAI GPT-4) is run on a server, receiving user input in real time and recording the conversation. The recorded conversation is stored in a database.

[0646] 3. Analysis of the dialogue content

[0647] The server uses natural language processing (NLP) libraries (e.g., SpaCy or NLTK) to analyze the recorded dialogue and extract keywords and important events.

[0648] 4. Content Generation

[0649] The server uses generative AI (e.g., DALL-E and MuseNet) to generate stories, paintings, and music based on extracted information. The generated content is displayed in an interface that users can review and adjust.

[0650] 5. Sharing and Feedback

[0651] The generated artwork is shared with other users within the app via the server. Other users can comment on and react to the published artwork. Comments and reactions are notified to the user in real time.

[0652] Specific example

[0653] For example, suppose a user inputs a memory of a fireworks display they watched with their family when they were a child. Based on this episode, the generating AI creates a painting of a night sky with beautiful fireworks and music that matches it. The user can then share this with friends and family and relive that moving episode.

[0654] Example of a prompt

[0655] "Please tell us about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives."

[0656] Such a system allows users to materialize their self-expression, share it with others, and receive real-time feedback. It also facilitates communication with others and supports self-exploration.

[0657] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0658] Step 1:

[0659] The user launches the application on their device and enters basic information such as their name, email address, and password on the new registration screen. The server stores this input information in a database using AWS or Firebase and sends an authentication email to the user. The input data is the user's personal information, and the output is the user record stored in the database.

[0660] Step 2:

[0661] After completing authentication, the user logs into the application and begins interacting with the conversational AI. The server displays a dialogue interface and presents questions such as, "What is your most important recent memory?" The user's responses (in text format) are sent to the server in real time and stored in the database. The input data is the user's answer text, and the output is the dialogue content recorded in the database.

[0662] Step 3:

[0663] The server analyzes the stored dialogue content using natural language processing (NLP) algorithms (e.g., SpaCy, NLTK) to extract important keywords and events. In this step, the input data is the dialogue content in text format, and the output is a list of extracted keywords and important events.

[0664] Step 4:

[0665] The server generates stories, paintings, and music using generative AI models (e.g., DALL-E, MuseNet) based on the extracted information. This generation process also includes providing prompts to the generative AI models. For example, a prompt might be, "Tell me about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives." The input data consists of a list of keywords and important events, and the output is the generated story, painting, and music.

[0666] Step 5:

[0667] The generated stories, images, and music are displayed to the user through the terminal's interface. The user reviews the generated content and, if necessary, makes adjustments. This adjustment data is sent to the server and saved as the final content. The input data consists of the generated content and the user's adjustment instructions, while the output is the final content.

[0668] Step 6:

[0669] When a user publishes generated content, the server uploads that content to the sharing platform. Other users can view the published content and leave comments and reactions. The input data in this step is the final content, and the output is the published state on the sharing platform.

[0670] Step 7:

[0671] The server analyzes comments and reactions from other users and notifies the original user in real time. This allows users to receive feedback from others and deepen their interactions. The input data consists of comments and reactions from other users, and the output is a notification message.

[0672] 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.

[0673] This invention is a system that uses a user-interactive generative AI and emotion engine to embody a user's life story and values ​​as narratives, paintings, and music, and then publish them. The main components of this system and their respective operations are described below.

[0674] System Configuration

[0675] 1. Interface for entering user information

[0676] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[0677] 2. Recording and saving the content of the conversation

[0678] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[0679] 3. Recognition of emotions

[0680] Server: During the conversation, the server activates an emotion engine that recognizes emotions from the user's facial expressions and voice, and incorporates that information into the analysis.

[0681] 4. Analysis of dialogue content and extraction of insights

[0682] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. This analysis reveals the user's values ​​and important life experiences.

[0683] 5. Organizing Information

[0684] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0685] 6. The creation of stories, paintings, and music

[0686] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for users to review and adjust.

[0687] 7. Publication of generated works and feedback

[0688] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[0689] 8. Feedback Notification

[0690] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[0691] Specific examples of program processing

[0692] Example 1: User "Yamada-san's" experience

[0693] 1. Enter user information

[0694] Ms. Yamada accesses the service from her device (smartphone), enters her name, email address, and password, and registers as a new user. The server saves Ms. Yamada's information in its database and sends a verification email.

[0695] 2. Starting the dialogue

[0696] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0697] 3. Recognition and Analysis of Emotions

[0698] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[0699] 4. Analysis of the dialogue content

[0700] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[0701] 5. Check the generated content

[0702] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. Furthermore, works with a bright tone based on the recognized emotion of "joy" are generated. The generated works are displayed on the interface, and Yamada reviews and makes adjustments.

[0703] 6. Publication of the work and feedback

[0704] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[0705] 7. Analysis and notification of feedback

[0706] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[0707] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others. The introduction of an emotion engine enables deeper dialogue and the creation of works that reflect the user's emotions and feelings.

[0708] The following describes the processing flow.

[0709] Step 1:

[0710] User: The user accesses the system from their device (smartphone or PC) and enters basic information such as their name, email address, and password to register.

[0711] Step 2:

[0712] Server: Stores received user information in the database and creates a new user account. Generates a verification email and sends it to the registered email address.

[0713] Step 3:

[0714] User: Check your email and click the authentication link to send an authentication request to the server.

[0715] Step 4:

[0716] Server: Verify the validity of the authentication link and activate the user account. Display an authentication complete message and allow login to the system.

[0717] Step 5:

[0718] User: After logging in, press the "Start Conversation" button. An interface will appear to begin the conversation with the AI.

[0719] Step 6:

[0720] Server: Activates the conversational generation AI and displays questions such as "What is your most important recent memory?" on the user's screen.

[0721] Step 7:

[0722] User: In response to the AI's question, enter an answer such as, "I went on a trip with my family last summer."

[0723] Step 8:

[0724] Server: Receives user input and saves the conversation content to the database in real time in text format.

[0725] Step 9:

[0726] Server: Activates the emotion engine and recognizes emotions such as "joy" from the user's facial expressions and voice. This emotion information is also stored in the database.

[0727] Step 10:

[0728] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords such as "family trip" and "last summer," as well as important events.

[0729] Step 11:

[0730] Server: Organizes the extracted information based on chronological order and values, displays it on the interface, and asks the user for confirmation.

[0731] Step 12:

[0732] User: Review the organized information, add any missing details, and modify or delete as needed.

[0733] Step 13:

[0734] Server: Inputs confirmed information and emotional data into the generating AI to create stories, paintings, and music. The generated content reflects recognized emotions such as "joy."

[0735] Step 14:

[0736] Server: Displays the generated stories, paintings, and music in the user interface and allows users to perform actions for review and adjustment.

[0737] Step 15:

[0738] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, click the "Publish" button.

[0739] Step 16:

[0740] Server: When a user clicks the "Publish" button, the generated work is uploaded to the sharing platform, making it available for other users to view.

[0741] Step 17:

[0742] Other users: View published works and react to them (e.g., "likes") and leave comments.

[0743] Step 18:

[0744] Server: Analyzes received reactions and comments and notifies the original user. The notification includes key points of positive comments and reactions.

[0745] (Example 2)

[0746] 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".

[0747] Traditional self-expression tools and systems often required users to organize and express information themselves, placing a significant burden on them. Furthermore, they struggled to generate content that deeply reflected users' emotions and feelings. This resulted in the challenge of effectively sharing individual values ​​and experiences with others.

[0748] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for recognizing emotions from the user's facial expressions and voice during the conversation, means for analyzing the recorded conversation content and recognized emotions and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user. This makes it possible to generate content that deeply reflects the user's emotions and values, and to effectively share individual values ​​and experiences with others.

[0749] A "user" is a person who uses the system to input information and engage in dialogue.

[0750] An "interface" is a screen or tool that a user uses to input information or interact with a system.

[0751] A "server" is a computer system that manages the processing of the entire system, stores and analyzes data, and publishes generated content.

[0752] "Dialogue content" refers to the content of text, audio, and visual communication that takes place between the user and the system.

[0753] A "database" is a system for structuring and storing dialogue and other data recorded within a system.

[0754] "Emotions" refer to emotional responses such as joy, sadness, and surprise that users exhibit during a conversation.

[0755] "Means of recognizing emotions" refer to technologies and algorithms that analyze changes in a user's facial expressions and voice to identify their emotions.

[0756] Natural Language Processing (NLP) is a technique for analyzing recorded dialogue content and extracting keywords and important events.

[0757] "Keywords" are important words or phrases extracted from the content of a conversation.

[0758] "Extracted information" refers to keywords and important events obtained through dialogue content and sentiment analysis.

[0759] "Stories, paintings, and music" are content created based on information extracted using generative AI models.

[0760] A "generative AI model" is an artificial intelligence algorithm that generates content based on the user's experiences and emotions.

[0761] A "prompt statement" is a text-based instruction given to a generative AI model.

[0762] "Means of publication" refers to a mechanism that allows other users to view the generated content.

[0763] "Reactions" refer to comments and evaluations that other users give to the generated content.

[0764] A "comment" is a text message posted by another user in response to generated content.

[0765] The "notification method" refers to a system that analyzes reactions and comments from other users and communicates them to the original user.

[0766] This invention is a system that uses a user-interactive generative AI and an emotion engine to embody the user's life story and values ​​as narratives, paintings, and music, and then publish them. The specific components of this system and their respective operations will be described below.

[0767] System Configuration

[0768] 1. Interface for entering user information

[0769] Device (e.g., smartphone or PC): This is the interface through which users access the system via a browser or app from their device and enter basic information such as their name, email address, and password.

[0770] The server receives this information, stores it in its database, and sends an authentication email.

[0771] 2. Recording and saving the content of the conversation

[0772] The server records the conversation between the user and the conversational AI in real time and saves it to a database in text format. This allows user input and AI responses to be accumulated sequentially.

[0773] The conversational generative AI uses, for example, OpenAI's GPT model.

[0774] 3. Recognition of emotions

[0775] The server activates an emotion engine that recognizes emotions from the user's facial expressions and voice during the conversation, and incorporates that information into the analysis. Examples of emotion engines used include Amazon Rekognition and the Google Vision API.

[0776] 4. Analysis of dialogue content and extraction of insights

[0777] The server analyzes the recorded dialogue and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. Spacy and NLTK can be used as NLP algorithms.

[0778] This reveals the user's values ​​and important life experiences.

[0779] 5. Organizing Information

[0780] The server organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0781] 6. The creation of stories, paintings, and music

[0782] The server inputs the organized information into a generating AI (such as DALL-E or MusicVAE), which then generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for the user to review and adjust.

[0783] 7. Publication of generated works and feedback

[0784] The server uploads the works that users have finalized and adjusted to the system's sharing platform, making them available for other users to view. Other users can react to and comment on the published works.

[0785] 8. Feedback Notification

[0786] The server analyzes the reactions and comments it receives and notifies the original users. This allows for continuous interaction even after the work has been published.

[0787] Specific example

[0788] For example, if user "Yamada-san" uses the system:

[0789] 1. Enter user information

[0790] Ms. Yamada accesses the service from her smartphone and registers by entering her name, email address, and password. The server saves Ms. Yamada's information in its database and sends a verification email.

[0791] 2. Starting the dialogue

[0792] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0793] 3. Recognition and Analysis of Emotions

[0794] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[0795] 4. Analysis of the dialogue content

[0796] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[0797] 5. The creation of stories, paintings, and music

[0798] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. The resulting works have a bright tone, reflecting the recognized emotion of "joy."

[0799] Example prompt: "Please create a story about a trip you took last summer to the beach with your family, where you made wonderful memories. The emotion should be 'joy,' and the story should be told from Yamada's perspective."

[0800] 6. Publication of the work and feedback

[0801] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[0802] 7. Analysis and notification of feedback

[0803] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[0804] Thus, the present invention enables the creation of content that deeply reflects the emotions and values ​​of users, and provides a system that allows individuals to effectively share their values ​​and experiences with others.

[0805] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0806] Step 1:

[0807] Entering user information

[0808] Users access the system from their devices (smartphones, PCs, etc.) via a browser or app and enter their name, email address, and password.

[0809] Input: User's name, email address, password

[0810] Processing: The server receives this information, converts it to the appropriate format, and stores it in the database.

[0811] Output: An authentication email is sent to the user for verification.

[0812] Step 2:

[0813] Login and Authentication

[0814] Users who receive the verification email click the link in the email to complete the verification process. Next, the user logs in using the email address and password they entered.

[0815] Input: Click the authentication link, login information (email address, password)

[0816] Process: The server verifies the authentication credentials and activates the user account.

[0817] Output: The dashboard screen is displayed along with a message indicating successful login.

[0818] Step 3:

[0819] Start of dialogue

[0820] Once authentication is complete, the user presses the "Start Interaction" button on the dashboard.

[0821] Input: Instruction to start the conversation

[0822] Processing: The server activates the conversational generation AI and displays the initial question in the conversational interface.

[0823] Output: An initial question such as "What is your most important recent memory?" is displayed on the user's terminal.

[0824] Step 4:

[0825] Recording and saving the content of the conversation

[0826] The user enters their answer to the initial question.

[0827] Input: User's response (Example: "I went on a trip with my family last summer.")

[0828] Processing: The server records this conversation in real time and saves it to the database in text format.

[0829] Output: The recorded dialogue is saved to the database.

[0830] Step 5:

[0831] Recognition of emotions

[0832] The server activates an emotion engine during the conversation and collects the user's facial expressions and voice through the webcam and microphone.

[0833] Input: User facial expression data, voice data

[0834] Processing: Analysis is performed using an emotion engine (e.g., Amazon Rekognition or Google Vision API) to recognize the user's emotions.

[0835] Output: Recognized emotion data (e.g., "joy") is recorded and stored in a database.

[0836] Step 6:

[0837] Analysis of dialogue content and emotional data

[0838] The server analyzes the recorded dialogue content and emotional data.

[0839] Input: Recorded conversation content, emotion data

[0840] Processing: Keywords and important events are extracted using natural language processing (NLP) algorithms (e.g., Spacy or NLTK).

[0841] Output: Extracted keywords and event data (e.g., "family trip", "last summer")

[0842] Step 7:

[0843] Information organization

[0844] The server organizes the extracted keywords and event data based on chronological order and value.

[0845] Input: Extracted keywords, event data

[0846] Processing: Organize data chronologically and according to values, and display it on the user's confirmation screen.

[0847] Output: The organized information is displayed on the user's confirmation screen.

[0848] Step 8:

[0849] Review and adjust generated content

[0850] Users can review the organized information and modify, add, or delete it as needed.

[0851] Input: User instructions for modification, addition, and deletion.

[0852] Processing: The server saves the corrected information back to the database.

[0853] Output: The corrected information is saved to the database.

[0854] Step 9:

[0855] The creation of stories, paintings, and music

[0856] The server inputs the organized information into a generating AI model and creates prompt messages.

[0857] Input: Organized information, recognized emotion data

[0858] Processing: Send prompt text to a generative AI model (e.g., DALL-E, GPT-3, MusicVAE) to generate stories, paintings, and music.

[0859] Output: The generated story, painting, and music are displayed in the user's confirmation interface.

[0860] Step 10:

[0861] Release of generated works

[0862] The user reviews the generated content and finally presses the publish button.

[0863] Input: Publication instructions

[0864] Processing: The server uploads the content to the sharing platform.

[0865] Output: The generated content becomes viewable by other users.

[0866] Step 11:

[0867] Gathering and notifying feedback

[0868] Other users can react to and comment on the published content.

[0869] Input: Reactions and comments from other users

[0870] Processing: The server analyzes the received reactions and comments and notifies the original user.

[0871] Output: A feedback notification is sent to the original user.

[0872] (Application Example 2)

[0873] 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."

[0874] In recent years, there has been a growing demand to propose products and services that meet the individual needs and emotions of consumers. However, current systems make it difficult to accurately grasp consumers' emotions and values ​​and to continuously provide optimal proposals based on them. Furthermore, there is a lack of effective methods for analyzing information obtained through dialogue with consumers and reflecting it in concrete proposals. As a result, it is difficult to increase consumer satisfaction and purchasing intent.

[0875] 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.

[0876] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of the interaction with the user and storing it in a database, means for analyzing the recorded content of the interaction and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for proposing products and services based on the interaction with the user, and means for re-analyzing the customer's reaction to the proposed products and services based on the analysis results. This makes it possible to propose products and services that are individually optimized based on the consumer's emotions and values.

[0877] "An interface for entering user information" refers to a screen or input device through which a user accesses the system and enters their personal information.

[0878] "Means for recording dialogue content and saving it in a database" refers to a system for recording the content of conversations with users in real time and saving it electronically.

[0879] "Methods for analyzing recorded dialogue content and extracting keywords and important events" refers to technologies that analyze saved dialogue content and automatically extract important information and events from it.

[0880] "Means for generating stories, paintings, and music" refers to methods and devices for generating new creative works such as stories, paintings, and music based on analyzed information.

[0881] "A means of publishing generated works and allowing other users to react and comment" refers to technology that allows generated creative works to be published via the internet or other means, enabling other users to view them and post their impressions and comments.

[0882] "Means of analyzing reactions and comments and notifying users" refers to a system that analyzes feedback from other users and informs the initial user of the results.

[0883] "Methods for proposing products and services" refer to technologies for selecting and proposing appropriate products and services based on the content of user conversations and the results of their analysis.

[0884] "Methods for reanalyzing customer responses" refer to techniques that involve re-analyzing customer reactions to proposed products or services and providing feedback based on those results.

[0885] The system for carrying out this invention includes the following main components:

[0886] User information input interface

[0887] The server provides an interface for users to input basic information such as their name and age through devices like smart glasses. This information is personalized based on analysis of the conversation and product / service recommendations.

[0888] Recording and saving the content of the conversation

[0889] The terminal records the content of the conversation with the user in real time and saves it to the server's database. This conversation content is used for subsequent analysis.

[0890] Recognition of emotions

[0891] The server uses an emotion engine to recognize emotions from the user's facial expressions and voice. For example, smart glasses equipped with a camera and microphone are used. This emotional information is also recorded and incorporated into the analysis.

[0892] Analysis of dialogue content and extraction of insights

[0893] The server analyzes the stored dialogue content and recognized emotions, extracting keywords and important events. This is done using natural language processing (NLP) algorithms.

[0894] Information organization

[0895] The server organizes the user's values ​​and important experiences in chronological order based on extracted keywords and key events.

[0896] Product and service proposals

[0897] The server suggests appropriate products and services to the user based on organized information. Here, a generative AI model is used to generate prompts that align with the user's values ​​and emotions. For example:

[0898] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[0899] Review and adjust generated content

[0900] The generated product and service suggestions are displayed on the terminal interface, allowing users to review and adjust them.

[0901] Publication of the work and feedback

[0902] Detailed information about the suggested product or service is published, and reactions and comments from other users are collected. This feedback is then analyzed again and communicated to the original user.

[0903] Conduct a reanalysis

[0904] By reanalyzing customer reactions to proposed products and services and providing feedback to users based on the results, further optimization can be achieved.

[0905] In this way, it becomes possible to propose products and services that are individually optimized based on the user's emotions and values, thereby achieving higher customer satisfaction.

[0906] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0907] Step 1:

[0908] The server displays an interface for users to input their information using smart glasses. Users enter basic information such as their name, age, and gender. The entered data is sent to the server and stored in the database.

[0909] Input: Basic information such as name, age, and gender

[0910] Output: User information stored in the database

[0911] Step 2:

[0912] The terminal records the conversation with the user in real time and sends that data to the server. The server saves this conversation in text format to a database.

[0913] Input: Dialogue content

[0914] Output: Dialogue text saved in the database

[0915] Step 3:

[0916] The server activates an emotion engine and analyzes the user's emotions from their facial expressions and voice. It uses the smart glasses' camera and microphone to collect data and saves the analysis results to a database.

[0917] Input: User's facial expressions and voice data

[0918] Output: Analyzed sentiment data

[0919] Step 4:

[0920] The server analyzes the recorded dialogue and sentiment data, and uses NLP algorithms to extract keywords and important events. The extracted information is organized chronologically and stored in a database.

[0921] Input: Dialogue text, sentiment data

[0922] Output: Extracted keywords, key events, organized data

[0923] Step 5:

[0924] The server uses a generative AI model to generate stories, paintings, and music based on extracted keywords and key events. This generated content is displayed on the device interface for the user to review and adjust.

[0925] Input: Keywords, important events

[0926] Output: Generated story, painting, music

[0927] Step 6:

[0928] The device publishes the generated work, allowing other users to view and comment on it. The server collects and analyzes these reactions and comments.

[0929] Input: Published works, reactions and comments from other users

[0930] Output: Analyzed reaction and comment data

[0931] Step 7:

[0932] The server notifies the original user of the analyzed reaction and comment data. It also displays the user's information again on the interface if further review or adjustments are needed.

[0933] Input: Analyzed reaction and comment data

[0934] Output: Notified feedback, display content for readjustment

[0935] Step 8:

[0936] The server suggests products and services based on interaction with the user. This suggestion uses a generative AI model to generate prompts, presenting individually optimized products and services. The following prompts are used as an example:

[0937] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[0938] Input: Dialogue content, analysis results

[0939] Output: Proposed products and services

[0940] Step 9:

[0941] The server re-analyzes customer reactions to the proposed products and services. Based on the results of the re-analysis, it performs further optimization and sends feedback to the user.

[0942] Input: Customer response data

[0943] Output: Reanalysis results, feedback content

[0944] 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.

[0945] 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.

[0946] 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.

[0947] [Third Embodiment]

[0948] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0949] 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.

[0950] 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).

[0951] 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.

[0952] 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.

[0953] 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).

[0954] 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.

[0955] 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.

[0956] 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.

[0957] 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.

[0958] 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.

[0959] 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".

[0960] This invention is a system that uses interactive generative AI to embody a user's life story and values ​​as narratives, paintings, and music, and then makes them publicly available. The main components of this system and their respective operations are described below.

[0961] System Configuration

[0962] 1. Interface for entering user information

[0963] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[0964] 2. Recording and saving the content of the conversation

[0965] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[0966] 3. Analysis of dialogue content and extraction of insights

[0967] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. This analysis reveals the user's values ​​and important life experiences.

[0968] 4. Organizing Information

[0969] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[0970] 5. The creation of stories, paintings, and music

[0971] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the user's life story and values. These generated works are displayed in an interface for the user to review and adjust.

[0972] 6. Publication of generated works and feedback

[0973] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[0974] 7. Feedback notification

[0975] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[0976] Specific examples of program processing

[0977] Example 1: User "Mr. Sato's" experience

[0978] 1. Enter user information

[0979] Ms. Sato accesses the service from her device (smartphone) and registers by entering her name, email address, and password. The server saves Ms. Sato's information in its database and sends an authentication email for verification.

[0980] 2. Starting the dialogue

[0981] After completing authentication, Ms. Sato logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Sato replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[0982] 3. Analysis of the dialogue content

[0983] The server analyzes the recorded conversation and extracts keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Mr. Sato's life in chronological order.

[0984] 4. Check the generated content

[0985] Based on the organized information, the generation AI generates stories and paintings based on travel memories. The generated works are displayed on the interface, and Ms. Sato reviews and makes adjustments.

[0986] 5. Publication of the work and feedback

[0987] After Ms. Sato reviews and adjusts her work, she presses the publish button, and the server uploads the work to the sharing platform. Other users can view it and leave comments such as, "What a wonderful memory!"

[0988] 6. Analysis and notification of feedback

[0989] The server analyzes the comments and notifies Mr. Sato. This allows Mr. Sato to feel connected to other users and promotes a deeper understanding of himself.

[0990] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others.

[0991] The following describes the processing flow.

[0992] Step 1:

[0993] User: A user accesses the system from their terminal and registers a new account by entering basic information such as their name, email address, and password into the interface.

[0994] Step 2:

[0995] Server: Stores the received user information in the database and creates a new user account. For verification, it generates an authentication email and sends it to the registered email address.

[0996] Step 3:

[0997] User: Check your email and click the authentication link. This will send an authentication request to the server.

[0998] Step 4:

[0999] Server: Verify the authentication link and activate the user account. Display an authentication complete message to the user and log them into the system.

[1000] Step 5:

[1001] User: After logging in, press the "Start Conversation" button. An interface for starting a conversation with the conversational AI will be displayed.

[1002] Step 6:

[1003] Server: Activates the conversational generation AI and displays a dialogue interface on the user's screen. The AI ​​displays questions such as, "What is your most important memory recently?"

[1004] Step 7:

[1005] User: Provides input in response to the AI's question. For example, they might answer, "Last summer, I went on a trip with my family."

[1006] Step 8:

[1007] Server: Records received conversations in real time and saves them to a database in text format.

[1008] Step 9:

[1009] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. For example, it identifies keywords such as "family trip" and "last summer."

[1010] Step 10:

[1011] Server: Based on the extracted information, organizes the dialogue content chronologically and according to values. The organized content is displayed on the user's confirmation screen.

[1012] Step 11:

[1013] User: Review the displayed organizational information and make corrections, additions, or deletions as needed.

[1014] Step 12:

[1015] Server: Provides verified information as input to the generating AI, which then generates stories, paintings, and music.

[1016] Step 13:

[1017] Server: Displays the generated stories, paintings, and music in the user interface. It also provides an interface for users to make adjustments.

[1018] Step 14:

[1019] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, press the publish button.

[1020] Step 15:

[1021] Server: When the publish button is pressed, the generated work is uploaded to the sharing platform, making it available for other users to view.

[1022] Step 16:

[1023] Other users: View published works and leave reactions and comments.

[1024] Step 17:

[1025] Server: Analyzes received reactions and comments and notifies the original user. The notification contains the key points of positive comments and reactions.

[1026] (Example 1)

[1027] 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."

[1028] In today's digitized society, there is a lack of means to creatively embody and share personal experiences and values ​​with others. Furthermore, the process of analyzing dialogue content and managing generated content is cumbersome, and there is a need for a system that is easy for users to use. This invention aims to solve these problems by providing a system that uses conversational generation AI to embody and efficiently manage and share users' life stories and values.

[1029] 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.

[1030] In this invention, the server includes means for displaying a terminal interface for inputting user information, means for recording the content of the conversation with the user and transmitting it to a central processing unit, means for storing the transmitted conversation content in a database, means for analyzing the recorded conversation content using a natural language processing algorithm and extracting keywords and important events, means for generating stories, paintings, and music using a generative AI model based on the extracted information, means for publishing the generated works from the central processing unit and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user via a notification system. This makes it possible to easily embody personal experiences and values ​​in a creative way and share them with others.

[1031] "Users" refers to individual people who use the system.

[1032] A "terminal interface" refers to a user interface used by users to input information or engage in dialogue.

[1033] A "central processing unit" refers to a computer device that manages and processes data for the entire system.

[1034] "Natural language processing algorithms" refer to computer program technologies used to understand, analyze, and process human language.

[1035] A "generative AI model" refers to an artificial intelligence model that generates stories, paintings, music, and other content based on input data.

[1036] A "database" refers to a storage system that manages and stores data such as conversation content and generated content.

[1037] A "notification system" refers to a mechanism that informs users of the results of the analysis of reactions and comments on the generated works.

[1038] "Reactions" refer to the reactions (e.g., likes, ratings) that other users show to the works they have created.

[1039] "Comments" refer to text-based feedback that other users write on the works they have created.

[1040] This invention is a system that embodies individual experiences and values ​​as stories, paintings, and music through dialogue with users, and shares them with others. This system mainly consists of a terminal interface, a central processing unit (server), a database, a natural language processing algorithm, a generative AI model, and a notification system.

[1041] First, the user enters basic information (name, email address, password, etc.) using the terminal interface. Specifically, a smartphone or personal computer can be used as the terminal, and the system is accessed via a browser or a dedicated application. The information entered by the user is sent to the server and stored in the database. Based on the stored information, the server sends an authentication email, and the user completes the authentication process.

[1042] Next, after the user completes authentication, they log in again to begin the conversation. The server activates the conversational generation AI and displays a prompt (for example, "What is your most important recent memory?"). The user enters their answer using the terminal interface and sends it to the server. This conversation is recorded in real time and stored in a database.

[1043] The server analyzes the stored dialogue content using natural language processing algorithms (e.g., spaCy, Google's Natural Language API). This analysis extracts keywords and important events from the dialogue. The extracted information is then organized chronologically as events in the user's life.

[1044] The organized information is input into a generative AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and make adjustments as needed.

[1045] Once a user has reviewed and is satisfied with their work, they can press the publish button, and the server will upload the work to the sharing platform. Other users can view the published work and react to it (e.g., like it) and leave comments. The server analyzes these reactions and comments and notifies the original user of the results via a notification system. Notifications are sent via email or in-app notifications.

[1046] This system allows users to easily embody and share their personal experiences and values ​​with others. Furthermore, they can deepen their self-understanding by receiving feedback from others.

[1047] Example of a prompt:

[1048] "Please tell me about a recent, cherished memory."

[1049] "What is the most memorable event in your life?"

[1050] "What are your most important values ​​and beliefs?"

[1051] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1052] Step 1:

[1053] Entering user information

[1054] A user accesses the system via a browser or application using a device (e.g., a smartphone or computer). The user fills out a form including their name, email address, and password, and presses the submit button. The entered data is sent from the device to the server. The server receives this data and stores it in a database. Based on the stored information, the server sends an authentication email to the user's email address.

[1055] Step 2:

[1056] Authentication process

[1057] The authentication process is completed when the user clicks the link in the authentication email they received. The user then accesses the system again through their browser and logs in. This login information is verified again by the server, and the user is authenticated.

[1058] Step 3:

[1059] Start of dialogue

[1060] After logging in, the user clicks the "Start Conversation" button displayed on the dashboard. The server activates the conversational generation AI and displays a prompt (e.g., "What is your most important recent memory?") on the terminal interface. The user answers the question using the conversational interface and submits the entered information. The submitted data is transferred to the server and recorded in the database.

[1061] Step 4:

[1062] Record of the conversation

[1063] The server receives the conversation content sent by the user and saves it to the database in real time. The saved conversation content is used as input data for the next analysis step.

[1064] Step 5:

[1065] Analysis of dialogue content

[1066] The server sends the saved dialogue to a natural language processing algorithm (e.g., spaCy, Google's Natural Language API) for analysis. This analysis extracts keywords and important events from the dialogue. For example, keywords such as "family trip" and "last summer" are analyzed. These results are organized in a database based on chronological order and values, and stored as the data that forms the basis of generated content.

[1067] Step 6:

[1068] Review and adjust generated content

[1069] The server inputs the analyzed information into a generating AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and modify, add, or delete as needed. For example, the user can adjust the colors of a generated painting or the details of a story.

[1070] Step 7:

[1071] Release of the work

[1072] The user reviews the generated work and, if satisfied, presses the publish button. The server uploads the work to the sharing platform. The uploaded work is then made public and viewable by other users.

[1073] Step 8:

[1074] Receiving and analyzing feedback

[1075] The server receives reactions and comments from other users. The received feedback is analyzed using natural language processing algorithms to organize users' responses and opinions.

[1076] Step 9:

[1077] Feedback notification

[1078] The server notifies the original user of the analyzed feedback. This notification is sent via email or in-app notification, allowing the user to see how others are responding. This enables users to deepen their self-understanding while continuing to interact with others.

[1079] The above outlines the specific processing steps of this system's program.

[1080] (Application Example 1)

[1081] 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."

[1082] In modern society, individual self-expression and self-exploration are extremely important, but the platforms for realizing them are limited. In particular, there are no systems that use conversational generative AI to embody one's values ​​and experiences as stories, paintings, and music, and share them with others. Furthermore, there is a lack of functionality to notify users of reactions and comments from others on the generated content in real time. There is a need for a system that fills these gaps and promotes individual self-expression and communication.

[1083] 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.

[1084] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for analyzing the recorded conversation content and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for providing an interface for sharing the generated works with other users, means for notifying comments and reactions from other users in real time, means for providing an interface for users to review and adjust works generated based on their own stories and values, and means for implementation as an application that runs on a mobile device including a smartphone. This enables users to embody self-expression, share it with others, and receive feedback in real time. It can also promote communication with others and support self-exploration.

[1085] A "user" refers to an individual who uses the system to input their own stories and values, and then embodies and publishes them.

[1086] "Interface" refers to a screen display method used by users to input information or to review and adjust generated content.

[1087] "Dialogue content" refers to the text data of questions and answers exchanged between the user and the conversational AI.

[1088] A "database" refers to a data storage system used to save and manage dialogue content, reactions, and comment information.

[1089] "Generative AI" refers to artificial intelligence that generates stories, paintings, and music based on input data and conversation content.

[1090] "Publishing" refers to the act of making a created work available for other users to view.

[1091] "Reactions" refer to actions such as evaluations and feedback that other users give to publicly available works.

[1092] "Comments" refer to the act of other users expressing their thoughts and opinions on publicly available works in text format.

[1093] "Notification" refers to the act of informing users that a reaction or comment has occurred.

[1094] "Means of providing an interface" refers to a screen display system that allows users to check and adjust the generated work.

[1095] "Mobile devices" refers to mobile devices such as smartphones and tablets.

[1096] This invention is a system that uses interactive generative AI to embody users' life stories and values ​​as narratives, paintings, and music, and then publishes and shares them. This system is implemented as an application that runs on mobile devices, including smartphones.

[1097] The specific configuration and operation of this invention are described in detail below.

[1098] System Configuration

[1099] 1. Enter and register user information

[1100] The server uses an interface built with React Native to provide a screen where users can enter basic information such as their name, email address, and password. The information entered by users is securely stored in a database using AWS or Firebase.

[1101] 2. Initiating and recording the dialogue

[1102] Conversational generative AI (e.g., OpenAI GPT-4) is run on a server, receiving user input in real time and recording the conversation. The recorded conversation is stored in a database.

[1103] 3. Analysis of the dialogue content

[1104] The server uses natural language processing (NLP) libraries (e.g., SpaCy or NLTK) to analyze the recorded dialogue and extract keywords and important events.

[1105] 4. Content Generation

[1106] The server uses generative AI (e.g., DALL-E and MuseNet) to generate stories, paintings, and music based on extracted information. The generated content is displayed in an interface that users can review and adjust.

[1107] 5. Sharing and Feedback

[1108] The generated artwork is shared with other users within the app via the server. Other users can comment on and react to the published artwork. Comments and reactions are notified to the user in real time.

[1109] Specific example

[1110] For example, suppose a user inputs a memory of a fireworks display they watched with their family when they were a child. Based on this episode, the generating AI creates a painting of a night sky with beautiful fireworks and music that matches it. The user can then share this with friends and family and relive that moving episode.

[1111] Example of a prompt

[1112] "Please tell us about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives."

[1113] Such a system allows users to materialize their self-expression, share it with others, and receive real-time feedback. It also facilitates communication with others and supports self-exploration.

[1114] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1115] Step 1:

[1116] The user launches the application on their device and enters basic information such as their name, email address, and password on the new registration screen. The server stores this input information in a database using AWS or Firebase and sends an authentication email to the user. The input data is the user's personal information, and the output is the user record stored in the database.

[1117] Step 2:

[1118] After completing authentication, the user logs into the application and begins interacting with the conversational AI. The server displays a dialogue interface and presents questions such as, "What is your most important recent memory?" The user's responses (in text format) are sent to the server in real time and stored in the database. The input data is the user's answer text, and the output is the dialogue content recorded in the database.

[1119] Step 3:

[1120] The server analyzes the stored dialogue content using natural language processing (NLP) algorithms (e.g., SpaCy, NLTK) to extract important keywords and events. In this step, the input data is the dialogue content in text format, and the output is a list of extracted keywords and important events.

[1121] Step 4:

[1122] The server generates stories, paintings, and music using generative AI models (e.g., DALL-E, MuseNet) based on the extracted information. This generation process also includes providing prompts to the generative AI models. For example, a prompt might be, "Tell me about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives." The input data consists of a list of keywords and important events, and the output is the generated story, painting, and music.

[1123] Step 5:

[1124] The generated stories, images, and music are displayed to the user through the terminal's interface. The user reviews the generated content and, if necessary, makes adjustments. This adjustment data is sent to the server and saved as the final content. The input data consists of the generated content and the user's adjustment instructions, while the output is the final content.

[1125] Step 6:

[1126] When a user publishes generated content, the server uploads that content to the sharing platform. Other users can view the published content and leave comments and reactions. The input data in this step is the final content, and the output is the published state on the sharing platform.

[1127] Step 7:

[1128] The server analyzes comments and reactions from other users and notifies the original user in real time. This allows users to receive feedback from others and deepen their interactions. The input data consists of comments and reactions from other users, and the output is a notification message.

[1129] 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.

[1130] This invention is a system that uses a user-interactive generative AI and emotion engine to embody a user's life story and values ​​as narratives, paintings, and music, and then publish them. The main components of this system and their respective operations are described below.

[1131] System Configuration

[1132] 1. Interface for entering user information

[1133] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[1134] 2. Recording and saving the content of the conversation

[1135] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[1136] 3. Recognition of emotions

[1137] Server: During the conversation, the server activates an emotion engine that recognizes emotions from the user's facial expressions and voice, and incorporates that information into the analysis.

[1138] 4. Analysis of dialogue content and extraction of insights

[1139] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. This analysis reveals the user's values ​​and important life experiences.

[1140] 5. Organizing Information

[1141] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[1142] 6. The creation of stories, paintings, and music

[1143] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for users to review and adjust.

[1144] 7. Publication of generated works and feedback

[1145] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[1146] 8. Feedback Notification

[1147] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[1148] Specific examples of program processing

[1149] Example 1: User "Yamada-san's" experience

[1150] 1. Enter user information

[1151] Ms. Yamada accesses the service from her device (smartphone), enters her name, email address, and password, and registers as a new user. The server saves Ms. Yamada's information in its database and sends a verification email.

[1152] 2. Starting the dialogue

[1153] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[1154] 3. Recognition and Analysis of Emotions

[1155] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[1156] 4. Analysis of the dialogue content

[1157] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[1158] 5. Check the generated content

[1159] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. Furthermore, works with a bright tone based on the recognized emotion of "joy" are generated. The generated works are displayed on the interface, and Yamada reviews and makes adjustments.

[1160] 6. Publication of the work and feedback

[1161] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[1162] 7. Analysis and notification of feedback

[1163] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[1164] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others. The introduction of an emotion engine enables deeper dialogue and the creation of works that reflect the user's emotions and feelings.

[1165] The following describes the processing flow.

[1166] Step 1:

[1167] User: The user accesses the system from their device (smartphone or PC) and enters basic information such as their name, email address, and password to register.

[1168] Step 2:

[1169] Server: Stores received user information in the database and creates a new user account. Generates a verification email and sends it to the registered email address.

[1170] Step 3:

[1171] User: Check your email and click the authentication link to send an authentication request to the server.

[1172] Step 4:

[1173] Server: Verify the validity of the authentication link and activate the user account. Display an authentication complete message and allow login to the system.

[1174] Step 5:

[1175] User: After logging in, press the "Start Conversation" button. An interface will appear to begin the conversation with the AI.

[1176] Step 6:

[1177] Server: Activates the conversational generation AI and displays questions such as "What is your most important recent memory?" on the user's screen.

[1178] Step 7:

[1179] User: In response to the AI's question, enter an answer such as, "I went on a trip with my family last summer."

[1180] Step 8:

[1181] Server: Receives user input and saves the conversation content to the database in real time in text format.

[1182] Step 9:

[1183] Server: Activates the emotion engine and recognizes emotions such as "joy" from the user's facial expressions and voice. This emotion information is also stored in the database.

[1184] Step 10:

[1185] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords such as "family trip" and "last summer," as well as important events.

[1186] Step 11:

[1187] Server: Organizes the extracted information based on chronological order and values, displays it on the interface, and asks the user for confirmation.

[1188] Step 12:

[1189] User: Review the organized information, add any missing details, and modify or delete as needed.

[1190] Step 13:

[1191] Server: Inputs confirmed information and emotional data into the generating AI to create stories, paintings, and music. The generated content reflects recognized emotions such as "joy."

[1192] Step 14:

[1193] Server: Displays the generated stories, paintings, and music in the user interface and allows users to perform actions for review and adjustment.

[1194] Step 15:

[1195] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, click the "Publish" button.

[1196] Step 16:

[1197] Server: When a user clicks the "Publish" button, the generated work is uploaded to the sharing platform, making it available for other users to view.

[1198] Step 17:

[1199] Other users: View published works and react to them (e.g., "likes") and leave comments.

[1200] Step 18:

[1201] Server: Analyzes received reactions and comments and notifies the original user. The notification includes key points of positive comments and reactions.

[1202] (Example 2)

[1203] 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."

[1204] Traditional self-expression tools and systems often required users to organize and express information themselves, placing a significant burden on them. Furthermore, they struggled to generate content that deeply reflected users' emotions and feelings. This resulted in the challenge of effectively sharing individual values ​​and experiences with others.

[1205] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for recognizing emotions from the user's facial expressions and voice during the conversation, means for analyzing the recorded conversation content and recognized emotions and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user. This makes it possible to generate content that deeply reflects the user's emotions and values, and to effectively share individual values ​​and experiences with others.

[1206] A "user" is a person who uses the system to input information and engage in dialogue.

[1207] An "interface" is a screen or tool that a user uses to input information or interact with a system.

[1208] A "server" is a computer system that manages the processing of the entire system, stores and analyzes data, and publishes generated content.

[1209] "Dialogue content" refers to the content of text, audio, and visual communication that takes place between the user and the system.

[1210] A "database" is a system for structuring and storing dialogue and other data recorded within a system.

[1211] "Emotions" refer to emotional responses such as joy, sadness, and surprise that users exhibit during a conversation.

[1212] "Means of recognizing emotions" refer to technologies and algorithms that analyze changes in a user's facial expressions and voice to identify their emotions.

[1213] Natural Language Processing (NLP) is a technique for analyzing recorded dialogue content and extracting keywords and important events.

[1214] "Keywords" are important words or phrases extracted from the content of a conversation.

[1215] "Extracted information" refers to keywords and important events obtained through dialogue content and sentiment analysis.

[1216] "Stories, paintings, and music" are content created based on information extracted using generative AI models.

[1217] A "generative AI model" is an artificial intelligence algorithm that generates content based on the user's experiences and emotions.

[1218] A "prompt statement" is a text-based instruction given to a generative AI model.

[1219] "Means of publication" refers to a mechanism that allows other users to view the generated content.

[1220] "Reactions" refer to comments and evaluations that other users give to the generated content.

[1221] A "comment" is a text message posted by another user in response to generated content.

[1222] The "notification method" refers to a system that analyzes reactions and comments from other users and communicates them to the original user.

[1223] This invention is a system that uses a user-interactive generative AI and an emotion engine to embody the user's life story and values ​​as narratives, paintings, and music, and then publish them. The specific components of this system and their respective operations will be described below.

[1224] System Configuration

[1225] 1. Interface for entering user information

[1226] Device (e.g., smartphone or PC): This is the interface through which users access the system via a browser or app from their device and enter basic information such as their name, email address, and password.

[1227] The server receives this information, stores it in its database, and sends an authentication email.

[1228] 2. Recording and saving the content of the conversation

[1229] The server records the conversation between the user and the conversational AI in real time and saves it to a database in text format. This allows user input and AI responses to be accumulated sequentially.

[1230] The conversational generative AI uses, for example, OpenAI's GPT model.

[1231] 3. Recognition of emotions

[1232] The server activates an emotion engine that recognizes emotions from the user's facial expressions and voice during the conversation, and incorporates that information into the analysis. Examples of emotion engines used include Amazon Rekognition and the Google Vision API.

[1233] 4. Analysis of dialogue content and extraction of insights

[1234] The server analyzes the recorded dialogue and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. Spacy and NLTK can be used as NLP algorithms.

[1235] This reveals the user's values ​​and important life experiences.

[1236] 5. Organizing Information

[1237] The server organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[1238] 6. The creation of stories, paintings, and music

[1239] The server inputs the organized information into a generating AI (such as DALL-E or MusicVAE), which then generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for the user to review and adjust.

[1240] 7. Publication of generated works and feedback

[1241] The server uploads the works that users have finalized and adjusted to the system's sharing platform, making them available for other users to view. Other users can react to and comment on the published works.

[1242] 8. Feedback Notification

[1243] The server analyzes the reactions and comments it receives and notifies the original users. This allows for continuous interaction even after the work has been published.

[1244] Specific example

[1245] For example, if user "Yamada-san" uses the system:

[1246] 1. Enter user information

[1247] Ms. Yamada accesses the service from her smartphone and registers by entering her name, email address, and password. The server saves Ms. Yamada's information in its database and sends a verification email.

[1248] 2. Starting the dialogue

[1249] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[1250] 3. Recognition and Analysis of Emotions

[1251] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[1252] 4. Analysis of the dialogue content

[1253] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[1254] 5. The creation of stories, paintings, and music

[1255] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. The resulting works have a bright tone, reflecting the recognized emotion of "joy."

[1256] Example prompt: "Please create a story about a trip you took last summer to the beach with your family, where you made wonderful memories. The emotion should be 'joy,' and the story should be told from Yamada's perspective."

[1257] 6. Publication of the work and feedback

[1258] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[1259] 7. Analysis and notification of feedback

[1260] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[1261] Thus, the present invention enables the creation of content that deeply reflects the emotions and values ​​of users, and provides a system that allows individuals to effectively share their values ​​and experiences with others.

[1262] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1263] Step 1:

[1264] Entering user information

[1265] Users access the system from their devices (smartphones, PCs, etc.) via a browser or app and enter their name, email address, and password.

[1266] Input: User's name, email address, password

[1267] Processing: The server receives this information, converts it to the appropriate format, and stores it in the database.

[1268] Output: An authentication email is sent to the user for verification.

[1269] Step 2:

[1270] Login and Authentication

[1271] Users who receive the verification email click the link in the email to complete the verification process. Next, the user logs in using the email address and password they entered.

[1272] Input: Click the authentication link, login information (email address, password)

[1273] Process: The server verifies the authentication credentials and activates the user account.

[1274] Output: The dashboard screen is displayed along with a message indicating successful login.

[1275] Step 3:

[1276] Start of dialogue

[1277] Once authentication is complete, the user presses the "Start Interaction" button on the dashboard.

[1278] Input: Instruction to start the conversation

[1279] Processing: The server activates the conversational generation AI and displays the initial question in the conversational interface.

[1280] Output: An initial question such as "What is your most important recent memory?" is displayed on the user's terminal.

[1281] Step 4:

[1282] Recording and saving the content of the conversation

[1283] The user enters their answer to the initial question.

[1284] Input: User's response (Example: "I went on a trip with my family last summer.")

[1285] Processing: The server records this conversation in real time and saves it to the database in text format.

[1286] Output: The recorded dialogue is saved to the database.

[1287] Step 5:

[1288] Recognition of emotions

[1289] The server activates an emotion engine during the conversation and collects the user's facial expressions and voice through the webcam and microphone.

[1290] Input: User facial expression data, voice data

[1291] Processing: Analysis is performed using an emotion engine (e.g., Amazon Rekognition or Google Vision API) to recognize the user's emotions.

[1292] Output: Recognized emotion data (e.g., "joy") is recorded and stored in a database.

[1293] Step 6:

[1294] Analysis of dialogue content and emotional data

[1295] The server analyzes the recorded dialogue content and emotional data.

[1296] Input: Recorded conversation content, emotion data

[1297] Processing: Keywords and important events are extracted using natural language processing (NLP) algorithms (e.g., Spacy or NLTK).

[1298] Output: Extracted keywords and event data (e.g., "family trip", "last summer")

[1299] Step 7:

[1300] Information organization

[1301] The server organizes the extracted keywords and event data based on chronological order and value.

[1302] Input: Extracted keywords, event data

[1303] Processing: Organize data chronologically and according to values, and display it on the user's confirmation screen.

[1304] Output: The organized information is displayed on the user's confirmation screen.

[1305] Step 8:

[1306] Review and adjust generated content

[1307] Users can review the organized information and modify, add, or delete it as needed.

[1308] Input: User instructions for modification, addition, and deletion.

[1309] Processing: The server saves the corrected information back to the database.

[1310] Output: The corrected information is saved to the database.

[1311] Step 9:

[1312] The creation of stories, paintings, and music

[1313] The server inputs the organized information into a generating AI model and creates prompt messages.

[1314] Input: Organized information, recognized emotion data

[1315] Processing: Send prompt text to a generative AI model (e.g., DALL-E, GPT-3, MusicVAE) to generate stories, paintings, and music.

[1316] Output: The generated story, painting, and music are displayed in the user's confirmation interface.

[1317] Step 10:

[1318] Release of generated works

[1319] The user reviews the generated content and finally presses the publish button.

[1320] Input: Publication instructions

[1321] Processing: The server uploads the content to the sharing platform.

[1322] Output: The generated content becomes viewable by other users.

[1323] Step 11:

[1324] Gathering and notifying feedback

[1325] Other users can react to and comment on the published content.

[1326] Input: Reactions and comments from other users

[1327] Processing: The server analyzes the received reactions and comments and notifies the original user.

[1328] Output: A feedback notification is sent to the original user.

[1329] (Application Example 2)

[1330] 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."

[1331] In recent years, there has been a growing demand to propose products and services that meet the individual needs and emotions of consumers. However, current systems make it difficult to accurately grasp consumers' emotions and values ​​and to continuously provide optimal proposals based on them. Furthermore, there is a lack of effective methods for analyzing information obtained through dialogue with consumers and reflecting it in concrete proposals. As a result, it is difficult to increase consumer satisfaction and purchasing intent.

[1332] 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.

[1333] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of the interaction with the user and storing it in a database, means for analyzing the recorded content of the interaction and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for proposing products and services based on the interaction with the user, and means for re-analyzing the customer's reaction to the proposed products and services based on the analysis results. This makes it possible to propose products and services that are individually optimized based on the consumer's emotions and values.

[1334] "An interface for entering user information" refers to a screen or input device through which a user accesses the system and enters their personal information.

[1335] "Means for recording dialogue content and saving it in a database" refers to a system for recording the content of conversations with users in real time and saving it electronically.

[1336] "Methods for analyzing recorded dialogue content and extracting keywords and important events" refers to technologies that analyze saved dialogue content and automatically extract important information and events from it.

[1337] "Means for generating stories, paintings, and music" refers to methods and devices for generating new creative works such as stories, paintings, and music based on analyzed information.

[1338] "A means of publishing generated works and allowing other users to react and comment" refers to technology that allows generated creative works to be published via the internet or other means, enabling other users to view them and post their impressions and comments.

[1339] "Means of analyzing reactions and comments and notifying users" refers to a system that analyzes feedback from other users and informs the initial user of the results.

[1340] "Methods for proposing products and services" refer to technologies for selecting and proposing appropriate products and services based on the content of user conversations and the results of their analysis.

[1341] "Methods for reanalyzing customer responses" refer to techniques that involve re-analyzing customer reactions to proposed products or services and providing feedback based on those results.

[1342] The system for carrying out this invention includes the following main components:

[1343] User information input interface

[1344] The server provides an interface for users to input basic information such as their name and age through devices like smart glasses. This information is personalized based on analysis of the conversation and product / service recommendations.

[1345] Recording and saving the content of the conversation

[1346] The terminal records the content of the conversation with the user in real time and saves it to the server's database. This conversation content is used for subsequent analysis.

[1347] Recognition of emotions

[1348] The server uses an emotion engine to recognize emotions from the user's facial expressions and voice. For example, smart glasses equipped with a camera and microphone are used. This emotional information is also recorded and incorporated into the analysis.

[1349] Analysis of dialogue content and extraction of insights

[1350] The server analyzes the stored dialogue content and recognized emotions, extracting keywords and important events. This is done using natural language processing (NLP) algorithms.

[1351] Information organization

[1352] The server organizes the user's values ​​and important experiences in chronological order based on extracted keywords and key events.

[1353] Product and service proposals

[1354] The server suggests appropriate products and services to the user based on organized information. Here, a generative AI model is used to generate prompts that align with the user's values ​​and emotions. For example:

[1355] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[1356] Review and adjust generated content

[1357] The generated product and service suggestions are displayed on the terminal interface, allowing users to review and adjust them.

[1358] Publication of the work and feedback

[1359] Detailed information about the suggested product or service is published, and reactions and comments from other users are collected. This feedback is then analyzed again and communicated to the original user.

[1360] Conduct a reanalysis

[1361] By reanalyzing customer reactions to proposed products and services and providing feedback to users based on the results, further optimization can be achieved.

[1362] In this way, it becomes possible to propose products and services that are individually optimized based on the user's emotions and values, thereby achieving higher customer satisfaction.

[1363] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1364] Step 1:

[1365] The server displays an interface for users to input their information using smart glasses. Users enter basic information such as their name, age, and gender. The entered data is sent to the server and stored in the database.

[1366] Input: Basic information such as name, age, and gender

[1367] Output: User information stored in the database

[1368] Step 2:

[1369] The terminal records the conversation with the user in real time and sends that data to the server. The server saves this conversation in text format to a database.

[1370] Input: Dialogue content

[1371] Output: Dialogue text saved in the database

[1372] Step 3:

[1373] The server activates an emotion engine and analyzes the user's emotions from their facial expressions and voice. It uses the smart glasses' camera and microphone to collect data and saves the analysis results to a database.

[1374] Input: User's facial expressions and voice data

[1375] Output: Analyzed sentiment data

[1376] Step 4:

[1377] The server analyzes the recorded dialogue and sentiment data, and uses NLP algorithms to extract keywords and important events. The extracted information is organized chronologically and stored in a database.

[1378] Input: Dialogue text, sentiment data

[1379] Output: Extracted keywords, key events, organized data

[1380] Step 5:

[1381] The server uses a generative AI model to generate stories, paintings, and music based on extracted keywords and key events. This generated content is displayed on the device interface for the user to review and adjust.

[1382] Input: Keywords, important events

[1383] Output: Generated story, painting, music

[1384] Step 6:

[1385] The device publishes the generated work, allowing other users to view and comment on it. The server collects and analyzes these reactions and comments.

[1386] Input: Published works, reactions and comments from other users

[1387] Output: Analyzed reaction and comment data

[1388] Step 7:

[1389] The server notifies the original user of the analyzed reaction and comment data. It also displays the user's information again on the interface if further review or adjustments are needed.

[1390] Input: Analyzed reaction and comment data

[1391] Output: Notified feedback, display content for readjustment

[1392] Step 8:

[1393] The server suggests products and services based on interaction with the user. This suggestion uses a generative AI model to generate prompts, presenting individually optimized products and services. The following prompts are used as an example:

[1394] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[1395] Input: Dialogue content, analysis results

[1396] Output: Proposed products and services

[1397] Step 9:

[1398] The server re-analyzes customer reactions to the proposed products and services. Based on the results of the re-analysis, it performs further optimization and sends feedback to the user.

[1399] Input: Customer response data

[1400] Output: Reanalysis results, feedback content

[1401] 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.

[1402] 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.

[1403] 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.

[1404] [Fourth Embodiment]

[1405] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1406] 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.

[1407] 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).

[1408] 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.

[1409] 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.

[1410] 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).

[1411] 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.

[1412] 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.

[1413] 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.

[1414] 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.

[1415] 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.

[1416] 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.

[1417] 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".

[1418] This invention is a system that uses interactive generative AI to embody a user's life story and values ​​as narratives, paintings, and music, and then makes them publicly available. The main components of this system and their respective operations are described below.

[1419] System Configuration

[1420] 1. Interface for entering user information

[1421] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[1422] 2. Recording and saving the content of the conversation

[1423] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[1424] 3. Analysis of dialogue content and extraction of insights

[1425] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. This analysis reveals the user's values ​​and important life experiences.

[1426] 4. Organizing Information

[1427] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[1428] 5. The creation of stories, paintings, and music

[1429] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the user's life story and values. These generated works are displayed in an interface for the user to review and adjust.

[1430] 6. Publication of generated works and feedback

[1431] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[1432] 7. Feedback notification

[1433] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[1434] Specific examples of program processing

[1435] Example 1: User "Mr. Sato's" experience

[1436] 1. Enter user information

[1437] Ms. Sato accesses the service from her device (smartphone) and registers by entering her name, email address, and password. The server saves Ms. Sato's information in its database and sends an authentication email for verification.

[1438] 2. Starting the dialogue

[1439] After completing authentication, Ms. Sato logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Sato replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[1440] 3. Analysis of the dialogue content

[1441] The server analyzes the recorded conversation and extracts keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Mr. Sato's life in chronological order.

[1442] 4. Check the generated content

[1443] Based on the organized information, the generation AI generates stories and paintings based on travel memories. The generated works are displayed on the interface, and Ms. Sato reviews and makes adjustments.

[1444] 5. Publication of the work and feedback

[1445] After Ms. Sato reviews and adjusts her work, she presses the publish button, and the server uploads the work to the sharing platform. Other users can view it and leave comments such as, "What a wonderful memory!"

[1446] 6. Analysis and notification of feedback

[1447] The server analyzes the comments and notifies Mr. Sato. This allows Mr. Sato to feel connected to other users and promotes a deeper understanding of himself.

[1448] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others.

[1449] The following describes the processing flow.

[1450] Step 1:

[1451] User: A user accesses the system from their terminal and registers a new account by entering basic information such as their name, email address, and password into the interface.

[1452] Step 2:

[1453] Server: Stores the received user information in the database and creates a new user account. For verification, it generates an authentication email and sends it to the registered email address.

[1454] Step 3:

[1455] User: Check your email and click the authentication link. This will send an authentication request to the server.

[1456] Step 4:

[1457] Server: Verify the authentication link and activate the user account. Display an authentication complete message to the user and log them into the system.

[1458] Step 5:

[1459] User: After logging in, press the "Start Conversation" button. An interface for starting a conversation with the conversational AI will be displayed.

[1460] Step 6:

[1461] Server: Activates the conversational generation AI and displays a dialogue interface on the user's screen. The AI ​​displays questions such as, "What is your most important memory recently?"

[1462] Step 7:

[1463] User: Provides input in response to the AI's question. For example, they might answer, "Last summer, I went on a trip with my family."

[1464] Step 8:

[1465] Server: Records received conversations in real time and saves them to a database in text format.

[1466] Step 9:

[1467] Server: Analyzes recorded conversations and extracts keywords and important events using natural language processing (NLP) algorithms. For example, it identifies keywords such as "family trip" and "last summer."

[1468] Step 10:

[1469] Server: Based on the extracted information, organizes the dialogue content chronologically and according to values. The organized content is displayed on the user's confirmation screen.

[1470] Step 11:

[1471] User: Review the displayed organizational information and make corrections, additions, or deletions as needed.

[1472] Step 12:

[1473] Server: Provides verified information as input to the generating AI, which then generates stories, paintings, and music.

[1474] Step 13:

[1475] Server: Displays the generated stories, paintings, and music in the user interface. It also provides an interface for users to make adjustments.

[1476] Step 14:

[1477] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, press the publish button.

[1478] Step 15:

[1479] Server: When the publish button is pressed, the generated work is uploaded to the sharing platform, making it available for other users to view.

[1480] Step 16:

[1481] Other users: View published works and leave reactions and comments.

[1482] Step 17:

[1483] Server: Analyzes received reactions and comments and notifies the original user. The notification contains the key points of positive comments and reactions.

[1484] (Example 1)

[1485] 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".

[1486] In today's digitized society, there is a lack of means to creatively embody and share personal experiences and values ​​with others. Furthermore, the process of analyzing dialogue content and managing generated content is cumbersome, and there is a need for a system that is easy for users to use. This invention aims to solve these problems by providing a system that uses conversational generation AI to embody and efficiently manage and share users' life stories and values.

[1487] 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.

[1488] In this invention, the server includes means for displaying a terminal interface for inputting user information, means for recording the content of the conversation with the user and transmitting it to a central processing unit, means for storing the transmitted conversation content in a database, means for analyzing the recorded conversation content using a natural language processing algorithm and extracting keywords and important events, means for generating stories, paintings, and music using a generative AI model based on the extracted information, means for publishing the generated works from the central processing unit and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user via a notification system. This makes it possible to easily embody personal experiences and values ​​in a creative way and share them with others.

[1489] "Users" refers to individual people who use the system.

[1490] A "terminal interface" refers to a user interface used by users to input information or engage in dialogue.

[1491] A "central processing unit" refers to a computer device that manages and processes data for the entire system.

[1492] "Natural language processing algorithms" refer to computer program technologies used to understand, analyze, and process human language.

[1493] A "generative AI model" refers to an artificial intelligence model that generates stories, paintings, music, and other content based on input data.

[1494] A "database" refers to a storage system that manages and stores data such as conversation content and generated content.

[1495] A "notification system" refers to a mechanism that informs users of the results of the analysis of reactions and comments on the generated works.

[1496] "Reactions" refer to the reactions (e.g., likes, ratings) that other users show to the works they have created.

[1497] "Comments" refer to text-based feedback that other users write on the works they have created.

[1498] This invention is a system that embodies individual experiences and values ​​as stories, paintings, and music through dialogue with users, and shares them with others. This system mainly consists of a terminal interface, a central processing unit (server), a database, a natural language processing algorithm, a generative AI model, and a notification system.

[1499] First, the user enters basic information (name, email address, password, etc.) using the terminal interface. Specifically, a smartphone or personal computer can be used as the terminal, and the system is accessed via a browser or a dedicated application. The information entered by the user is sent to the server and stored in the database. Based on the stored information, the server sends an authentication email, and the user completes the authentication process.

[1500] Next, after the user completes authentication, they log in again to begin the conversation. The server activates the conversational generation AI and displays a prompt (for example, "What is your most important recent memory?"). The user enters their answer using the terminal interface and sends it to the server. This conversation is recorded in real time and stored in a database.

[1501] The server analyzes the stored dialogue content using natural language processing algorithms (e.g., spaCy, Google's Natural Language API). This analysis extracts keywords and important events from the dialogue. The extracted information is then organized chronologically as events in the user's life.

[1502] The organized information is input into a generative AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and make adjustments as needed.

[1503] Once a user has reviewed and is satisfied with their work, they can press the publish button, and the server will upload the work to the sharing platform. Other users can view the published work and react to it (e.g., like it) and leave comments. The server analyzes these reactions and comments and notifies the original user of the results via a notification system. Notifications are sent via email or in-app notifications.

[1504] This system allows users to easily embody and share their personal experiences and values ​​with others. Furthermore, they can deepen their self-understanding by receiving feedback from others.

[1505] Example of a prompt:

[1506] "Please tell me about a recent, cherished memory."

[1507] "What is the most memorable event in your life?"

[1508] "What are your most important values ​​and beliefs?"

[1509] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1510] Step 1:

[1511] Entering user information

[1512] A user accesses the system via a browser or application using a device (e.g., a smartphone or computer). The user fills out a form including their name, email address, and password, and presses the submit button. The entered data is sent from the device to the server. The server receives this data and stores it in a database. Based on the stored information, the server sends an authentication email to the user's email address.

[1513] Step 2:

[1514] Authentication process

[1515] The authentication process is completed when the user clicks the link in the authentication email they received. The user then accesses the system again through their browser and logs in. This login information is verified again by the server, and the user is authenticated.

[1516] Step 3:

[1517] Start of dialogue

[1518] After logging in, the user clicks the "Start Conversation" button displayed on the dashboard. The server activates the conversational generation AI and displays a prompt (e.g., "What is your most important recent memory?") on the terminal interface. The user answers the question using the conversational interface and submits the entered information. The submitted data is transferred to the server and recorded in the database.

[1519] Step 4:

[1520] Record of the conversation

[1521] The server receives the conversation content sent by the user and saves it to the database in real time. The saved conversation content is used as input data for the next analysis step.

[1522] Step 5:

[1523] Analysis of dialogue content

[1524] The server sends the saved dialogue to a natural language processing algorithm (e.g., spaCy, Google's Natural Language API) for analysis. This analysis extracts keywords and important events from the dialogue. For example, keywords such as "family trip" and "last summer" are analyzed. These results are organized in a database based on chronological order and values, and stored as the data that forms the basis of generated content.

[1525] Step 6:

[1526] Review and adjust generated content

[1527] The server inputs the analyzed information into a generating AI model (e.g., OpenAI's GPT-3) to generate content such as stories, paintings, and music. The generated works are then displayed again on the terminal interface, allowing the user to review the content and modify, add, or delete as needed. For example, the user can adjust the colors of a generated painting or the details of a story.

[1528] Step 7:

[1529] Release of the work

[1530] The user reviews the generated work and, if satisfied, presses the publish button. The server uploads the work to the sharing platform. The uploaded work is then made public and viewable by other users.

[1531] Step 8:

[1532] Receiving and analyzing feedback

[1533] The server receives reactions and comments from other users. The received feedback is analyzed using natural language processing algorithms to organize users' responses and opinions.

[1534] Step 9:

[1535] Feedback notification

[1536] The server notifies the original user of the analyzed feedback. This notification is sent via email or in-app notification, allowing the user to see how others are responding. This enables users to deepen their self-understanding while continuing to interact with others.

[1537] The above outlines the specific processing steps of this system's program.

[1538] (Application Example 1)

[1539] 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".

[1540] In modern society, individual self-expression and self-exploration are extremely important, but the platforms for realizing them are limited. In particular, there are no systems that use conversational generative AI to embody one's values ​​and experiences as stories, paintings, and music, and share them with others. Furthermore, there is a lack of functionality to notify users of reactions and comments from others on the generated content in real time. There is a need for a system that fills these gaps and promotes individual self-expression and communication.

[1541] 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.

[1542] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for analyzing the recorded conversation content and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for providing an interface for sharing the generated works with other users, means for notifying comments and reactions from other users in real time, means for providing an interface for users to review and adjust works generated based on their own stories and values, and means for implementation as an application that runs on a mobile device including a smartphone. This enables users to embody self-expression, share it with others, and receive feedback in real time. It can also promote communication with others and support self-exploration.

[1543] A "user" refers to an individual who uses the system to input their own stories and values, and then embodies and publishes them.

[1544] "Interface" refers to a screen display method used by users to input information or to review and adjust generated content.

[1545] "Dialogue content" refers to the text data of questions and answers exchanged between the user and the conversational AI.

[1546] A "database" refers to a data storage system used to save and manage dialogue content, reactions, and comment information.

[1547] "Generative AI" refers to artificial intelligence that generates stories, paintings, and music based on input data and conversation content.

[1548] "Publishing" refers to the act of making a created work available for other users to view.

[1549] "Reactions" refer to actions such as evaluations and feedback that other users give to publicly available works.

[1550] "Comments" refer to the act of other users expressing their thoughts and opinions on publicly available works in text format.

[1551] "Notification" refers to the act of informing users that a reaction or comment has occurred.

[1552] "Means of providing an interface" refers to a screen display system that allows users to check and adjust the generated work.

[1553] "Mobile devices" refers to mobile devices such as smartphones and tablets.

[1554] This invention is a system that uses interactive generative AI to embody users' life stories and values ​​as narratives, paintings, and music, and then publishes and shares them. This system is implemented as an application that runs on mobile devices, including smartphones.

[1555] The specific configuration and operation of this invention are described in detail below.

[1556] System Configuration

[1557] 1. Enter and register user information

[1558] The server uses an interface built with React Native to provide a screen where users can enter basic information such as their name, email address, and password. The information entered by users is securely stored in a database using AWS or Firebase.

[1559] 2. Initiating and recording the dialogue

[1560] Conversational generative AI (e.g., OpenAI GPT-4) is run on a server, receiving user input in real time and recording the conversation. The recorded conversation is stored in a database.

[1561] 3. Analysis of the dialogue content

[1562] The server uses natural language processing (NLP) libraries (e.g., SpaCy or NLTK) to analyze the recorded dialogue and extract keywords and important events.

[1563] 4. Content Generation

[1564] The server uses generative AI (e.g., DALL-E and MuseNet) to generate stories, paintings, and music based on extracted information. The generated content is displayed in an interface that users can review and adjust.

[1565] 5. Sharing and Feedback

[1566] The generated artwork is shared with other users within the app via the server. Other users can comment on and react to the published artwork. Comments and reactions are notified to the user in real time.

[1567] Specific example

[1568] For example, suppose a user inputs a memory of a fireworks display they watched with their family when they were a child. Based on this episode, the generating AI creates a painting of a night sky with beautiful fireworks and music that matches it. The user can then share this with friends and family and relive that moving episode.

[1569] Example of a prompt

[1570] "Please tell us about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives."

[1571] Such a system allows users to materialize their self-expression, share it with others, and receive real-time feedback. It also facilitates communication with others and supports self-exploration.

[1572] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1573] Step 1:

[1574] The user launches the application on their device and enters basic information such as their name, email address, and password on the new registration screen. The server stores this input information in a database using AWS or Firebase and sends an authentication email to the user. The input data is the user's personal information, and the output is the user record stored in the database.

[1575] Step 2:

[1576] After completing authentication, the user logs into the application and begins interacting with the conversational AI. The server displays a dialogue interface and presents questions such as, "What is your most important recent memory?" The user's responses (in text format) are sent to the server in real time and stored in the database. The input data is the user's answer text, and the output is the dialogue content recorded in the database.

[1577] Step 3:

[1578] The server analyzes the stored dialogue content using natural language processing (NLP) algorithms (e.g., SpaCy, NLTK) to extract important keywords and events. In this step, the input data is the dialogue content in text format, and the output is a list of extracted keywords and important events.

[1579] Step 4:

[1580] The server generates stories, paintings, and music using generative AI models (e.g., DALL-E, MuseNet) based on the extracted information. This generation process also includes providing prompts to the generative AI models. For example, a prompt might be, "Tell me about the most memorable moment in your life. Describe the emotions you felt at that time using adjectives." The input data consists of a list of keywords and important events, and the output is the generated story, painting, and music.

[1581] Step 5:

[1582] The generated stories, images, and music are displayed to the user through the terminal's interface. The user reviews the generated content and, if necessary, makes adjustments. This adjustment data is sent to the server and saved as the final content. The input data consists of the generated content and the user's adjustment instructions, while the output is the final content.

[1583] Step 6:

[1584] When a user publishes generated content, the server uploads that content to the sharing platform. Other users can view the published content and leave comments and reactions. The input data in this step is the final content, and the output is the published state on the sharing platform.

[1585] Step 7:

[1586] The server analyzes comments and reactions from other users and notifies the original user in real time. This allows users to receive feedback from others and deepen their interactions. The input data consists of comments and reactions from other users, and the output is a notification message.

[1587] 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.

[1588] This invention is a system that uses a user-interactive generative AI and emotion engine to embody a user's life story and values ​​as narratives, paintings, and music, and then publish them. The main components of this system and their respective operations are described below.

[1589] System Configuration

[1590] 1. Interface for entering user information

[1591] Terminal (User Device): This is the interface through which users access the system via a browser or app and enter basic information such as their name, email address, and password.

[1592] 2. Recording and saving the content of the conversation

[1593] Server: Records the content of conversations between the user and the conversational AI in real time and saves it to a database in text format. This allows for the continuous accumulation of user input and AI responses.

[1594] 3. Recognition of emotions

[1595] Server: During the conversation, the server activates an emotion engine that recognizes emotions from the user's facial expressions and voice, and incorporates that information into the analysis.

[1596] 4. Analysis of dialogue content and extraction of insights

[1597] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. This analysis reveals the user's values ​​and important life experiences.

[1598] 5. Organizing Information

[1599] Server: Organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[1600] 6. The creation of stories, paintings, and music

[1601] Server: It inputs organized information into a generation AI and generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for users to review and adjust.

[1602] 7. Publication of generated works and feedback

[1603] Server: Works that users have finalized and adjusted are uploaded to the system's sharing platform and become viewable by other users. Other users can react to and comment on the published works.

[1604] 8. Feedback Notification

[1605] Server: Analyzes received reactions and comments and notifies the original users. This allows for continuous interaction even after the work has been published.

[1606] Specific examples of program processing

[1607] Example 1: User "Yamada-san's" experience

[1608] 1. Enter user information

[1609] Ms. Yamada accesses the service from her device (smartphone), enters her name, email address, and password, and registers as a new user. The server saves Ms. Yamada's information in its database and sends a verification email.

[1610] 2. Starting the dialogue

[1611] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[1612] 3. Recognition and Analysis of Emotions

[1613] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[1614] 4. Analysis of the dialogue content

[1615] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[1616] 5. Check the generated content

[1617] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. Furthermore, works with a bright tone based on the recognized emotion of "joy" are generated. The generated works are displayed on the interface, and Yamada reviews and makes adjustments.

[1618] 6. Publication of the work and feedback

[1619] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[1620] 7. Analysis and notification of feedback

[1621] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[1622] Through this series of processes, the present invention provides a system that supports self-exploration and self-expression, and enables the sharing of values ​​and experiences with others. The introduction of an emotion engine enables deeper dialogue and the creation of works that reflect the user's emotions and feelings.

[1623] The following describes the processing flow.

[1624] Step 1:

[1625] User: The user accesses the system from their device (smartphone or PC) and enters basic information such as their name, email address, and password to register.

[1626] Step 2:

[1627] Server: Stores received user information in the database and creates a new user account. Generates a verification email and sends it to the registered email address.

[1628] Step 3:

[1629] User: Check your email and click the authentication link to send an authentication request to the server.

[1630] Step 4:

[1631] Server: Verify the validity of the authentication link and activate the user account. Display an authentication complete message and allow login to the system.

[1632] Step 5:

[1633] User: After logging in, press the "Start Conversation" button. An interface will appear to begin the conversation with the AI.

[1634] Step 6:

[1635] Server: Activates the conversational generation AI and displays questions such as "What is your most important recent memory?" on the user's screen.

[1636] Step 7:

[1637] User: In response to the AI's question, enter an answer such as, "I went on a trip with my family last summer."

[1638] Step 8:

[1639] Server: Receives user input and saves the conversation content to the database in real time in text format.

[1640] Step 9:

[1641] Server: Activates the emotion engine and recognizes emotions such as "joy" from the user's facial expressions and voice. This emotion information is also stored in the database.

[1642] Step 10:

[1643] Server: Analyzes recorded conversations and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords such as "family trip" and "last summer," as well as important events.

[1644] Step 11:

[1645] Server: Organizes the extracted information based on chronological order and values, displays it on the interface, and asks the user for confirmation.

[1646] Step 12:

[1647] User: Review the organized information, add any missing details, and modify or delete as needed.

[1648] Step 13:

[1649] Server: Inputs confirmed information and emotional data into the generating AI to create stories, paintings, and music. The generated content reflects recognized emotions such as "joy."

[1650] Step 14:

[1651] Server: Displays the generated stories, paintings, and music in the user interface and allows users to perform actions for review and adjustment.

[1652] Step 15:

[1653] User: Review the generated artwork and make any necessary adjustments. Once adjustments are complete, click the "Publish" button.

[1654] Step 16:

[1655] Server: When a user clicks the "Publish" button, the generated work is uploaded to the sharing platform, making it available for other users to view.

[1656] Step 17:

[1657] Other users: View published works and react to them (e.g., "likes") and leave comments.

[1658] Step 18:

[1659] Server: Analyzes received reactions and comments and notifies the original user. The notification includes key points of positive comments and reactions.

[1660] (Example 2)

[1661] 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".

[1662] Traditional self-expression tools and systems often required users to organize and express information themselves, placing a significant burden on them. Furthermore, they struggled to generate content that deeply reflected users' emotions and feelings. This resulted in the challenge of effectively sharing individual values ​​and experiences with others.

[1663] The identification processing performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of conversations with the user and storing it in a database, means for recognizing emotions from the user's facial expressions and voice during the conversation, means for analyzing the recorded conversation content and recognized emotions and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, and means for analyzing the reactions and comments and notifying the user. This makes it possible to generate content that deeply reflects the user's emotions and values, and to effectively share individual values ​​and experiences with others.

[1664] A "user" is a person who uses the system to input information and engage in dialogue.

[1665] An "interface" is a screen or tool that a user uses to input information or interact with a system.

[1666] A "server" is a computer system that manages the processing of the entire system, stores and analyzes data, and publishes generated content.

[1667] "Dialogue content" refers to the content of text, audio, and visual communication that takes place between the user and the system.

[1668] A "database" is a system for structuring and storing dialogue and other data recorded within a system.

[1669] "Emotions" refer to emotional responses such as joy, sadness, and surprise that users exhibit during a conversation.

[1670] "Means of recognizing emotions" refer to technologies and algorithms that analyze changes in a user's facial expressions and voice to identify their emotions.

[1671] Natural Language Processing (NLP) is a technique for analyzing recorded dialogue content and extracting keywords and important events.

[1672] "Keywords" are important words or phrases extracted from the content of a conversation.

[1673] "Extracted information" refers to keywords and important events obtained through dialogue content and sentiment analysis.

[1674] "Stories, paintings, and music" are content created based on information extracted using generative AI models.

[1675] A "generative AI model" is an artificial intelligence algorithm that generates content based on the user's experiences and emotions.

[1676] A "prompt statement" is a text-based instruction given to a generative AI model.

[1677] "Means of publication" refers to a mechanism that allows other users to view the generated content.

[1678] "Reactions" refer to comments and evaluations that other users give to the generated content.

[1679] A "comment" is a text message posted by another user in response to generated content.

[1680] The "notification method" refers to a system that analyzes reactions and comments from other users and communicates them to the original user.

[1681] This invention is a system that uses a user-interactive generative AI and an emotion engine to embody the user's life story and values ​​as narratives, paintings, and music, and then publish them. The specific components of this system and their respective operations will be described below.

[1682] System Configuration

[1683] 1. Interface for entering user information

[1684] Device (e.g., smartphone or PC): This is the interface through which users access the system via a browser or app from their device and enter basic information such as their name, email address, and password.

[1685] The server receives this information, stores it in its database, and sends an authentication email.

[1686] 2. Recording and saving the content of the conversation

[1687] The server records the conversation between the user and the conversational AI in real time and saves it to a database in text format. This allows user input and AI responses to be accumulated sequentially.

[1688] The conversational generative AI uses, for example, OpenAI's GPT model.

[1689] 3. Recognition of emotions

[1690] The server activates an emotion engine that recognizes emotions from the user's facial expressions and voice during the conversation, and incorporates that information into the analysis. Examples of emotion engines used include Amazon Rekognition and the Google Vision API.

[1691] 4. Analysis of dialogue content and extraction of insights

[1692] The server analyzes the recorded dialogue and recognized emotions, and uses natural language processing (NLP) algorithms to extract keywords and important events. Spacy and NLTK can be used as NLP algorithms.

[1693] This reveals the user's values ​​and important life experiences.

[1694] 5. Organizing Information

[1695] The server organizes the extracted information based on chronological order and values, and displays it on the user's confirmation screen. Users can modify, add, and delete information.

[1696] 6. The creation of stories, paintings, and music

[1697] The server inputs the organized information into a generating AI (such as DALL-E or MusicVAE), which then generates stories, paintings, and music that reflect the recognized emotions. These generated works are displayed in an interface for the user to review and adjust.

[1698] 7. Publication of generated works and feedback

[1699] The server uploads the works that users have finalized and adjusted to the system's sharing platform, making them available for other users to view. Other users can react to and comment on the published works.

[1700] 8. Feedback Notification

[1701] The server analyzes the reactions and comments it receives and notifies the original users. This allows for continuous interaction even after the work has been published.

[1702] Specific example

[1703] For example, if user "Yamada-san" uses the system:

[1704] 1. Enter user information

[1705] Ms. Yamada accesses the service from her smartphone and registers by entering her name, email address, and password. The server saves Ms. Yamada's information in its database and sends a verification email.

[1706] 2. Starting the dialogue

[1707] After completing authentication, Ms. Yamada logs in and presses the "Start Conversation" button. The server activates the conversational generation AI and displays the question "What is your most important memory recently?" on the conversation interface. Ms. Yamada replies, "It was the trip I took with my family last summer." The server records this conversation in real time and saves it to the database.

[1708] 3. Recognition and Analysis of Emotions

[1709] During the conversation, the server uses an emotion engine to analyze Yamada's facial expressions and voice, recognizing emotions such as "joy." This emotional information is saved along with the recorded conversation content.

[1710] 4. Analysis of the dialogue content

[1711] The server analyzes the recorded conversation and recognized emotions, extracting keywords such as "family trip" and "last summer." Then, based on these keywords, it organizes events in Yamada's life chronologically.

[1712] 5. The creation of stories, paintings, and music

[1713] Based on organized information and emotional data, the generative AI generates stories and paintings based on travel memories. The resulting works have a bright tone, reflecting the recognized emotion of "joy."

[1714] Example prompt: "Please create a story about a trip you took last summer to the beach with your family, where you made wonderful memories. The emotion should be 'joy,' and the story should be told from Yamada's perspective."

[1715] 6. Publication of the work and feedback

[1716] After Yamada reviews and adjusts the artwork, he presses the publish button, and the server uploads the artwork to the sharing platform. Other users can then view it and leave comments such as, "What a wonderful memory!"

[1717] 7. Analysis and notification of feedback

[1718] The server analyzes the comments and notifies Yamada. This allows Yamada to feel connected to other users and promotes a deeper understanding of himself.

[1719] Thus, the present invention enables the creation of content that deeply reflects the emotions and values ​​of users, and provides a system that allows individuals to effectively share their values ​​and experiences with others.

[1720] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1721] Step 1:

[1722] Entering user information

[1723] Users access the system from their devices (smartphones, PCs, etc.) via a browser or app and enter their name, email address, and password.

[1724] Input: User's name, email address, password

[1725] Processing: The server receives this information, converts it to the appropriate format, and stores it in the database.

[1726] Output: An authentication email is sent to the user for verification.

[1727] Step 2:

[1728] Login and Authentication

[1729] Users who receive the verification email click the link in the email to complete the verification process. Next, the user logs in using the email address and password they entered.

[1730] Input: Click the authentication link, login information (email address, password)

[1731] Process: The server verifies the authentication credentials and activates the user account.

[1732] Output: The dashboard screen is displayed along with a message indicating successful login.

[1733] Step 3:

[1734] Start of dialogue

[1735] Once authentication is complete, the user presses the "Start Interaction" button on the dashboard.

[1736] Input: Instruction to start the conversation

[1737] Processing: The server activates the conversational generation AI and displays the initial question in the conversational interface.

[1738] Output: An initial question such as "What is your most important recent memory?" is displayed on the user's terminal.

[1739] Step 4:

[1740] Recording and saving the content of the conversation

[1741] The user enters their answer to the initial question.

[1742] Input: User's response (Example: "I went on a trip with my family last summer.")

[1743] Processing: The server records this conversation in real time and saves it to the database in text format.

[1744] Output: The recorded dialogue is saved to the database.

[1745] Step 5:

[1746] Recognition of emotions

[1747] The server activates an emotion engine during the conversation and collects the user's facial expressions and voice through the webcam and microphone.

[1748] Input: User facial expression data, voice data

[1749] Processing: Analysis is performed using an emotion engine (e.g., Amazon Rekognition or Google Vision API) to recognize the user's emotions.

[1750] Output: Recognized emotion data (e.g., "joy") is recorded and stored in a database.

[1751] Step 6:

[1752] Analysis of dialogue content and emotional data

[1753] The server analyzes the recorded dialogue content and emotional data.

[1754] Input: Recorded conversation content, emotion data

[1755] Processing: Keywords and important events are extracted using natural language processing (NLP) algorithms (e.g., Spacy or NLTK).

[1756] Output: Extracted keywords and event data (e.g., "family trip", "last summer")

[1757] Step 7:

[1758] Information organization

[1759] The server organizes the extracted keywords and event data based on chronological order and value.

[1760] Input: Extracted keywords, event data

[1761] Processing: Organize data chronologically and according to values, and display it on the user's confirmation screen.

[1762] Output: The organized information is displayed on the user's confirmation screen.

[1763] Step 8:

[1764] Review and adjust generated content

[1765] Users can review the organized information and modify, add, or delete it as needed.

[1766] Input: User instructions for modification, addition, and deletion.

[1767] Processing: The server saves the corrected information back to the database.

[1768] Output: The corrected information is saved to the database.

[1769] Step 9:

[1770] The creation of stories, paintings, and music

[1771] The server inputs the organized information into a generating AI model and creates prompt messages.

[1772] Input: Organized information, recognized emotion data

[1773] Processing: Send prompt text to a generative AI model (e.g., DALL-E, GPT-3, MusicVAE) to generate stories, paintings, and music.

[1774] Output: The generated story, painting, and music are displayed in the user's confirmation interface.

[1775] Step 10:

[1776] Release of generated works

[1777] The user reviews the generated content and finally presses the publish button.

[1778] Input: Publication instructions

[1779] Processing: The server uploads the content to the sharing platform.

[1780] Output: The generated content becomes viewable by other users.

[1781] Step 11:

[1782] Gathering and notifying feedback

[1783] Other users can react to and comment on the published content.

[1784] Input: Reactions and comments from other users

[1785] Processing: The server analyzes the received reactions and comments and notifies the original user.

[1786] Output: A feedback notification is sent to the original user.

[1787] (Application Example 2)

[1788] 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".

[1789] In recent years, there has been a growing demand to propose products and services that meet the individual needs and emotions of consumers. However, current systems make it difficult to accurately grasp consumers' emotions and values ​​and to continuously provide optimal proposals based on them. Furthermore, there is a lack of effective methods for analyzing information obtained through dialogue with consumers and reflecting it in concrete proposals. As a result, it is difficult to increase consumer satisfaction and purchasing intent.

[1790] 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.

[1791] In this invention, the server includes means for displaying an interface for inputting user information, means for recording the content of the interaction with the user and storing it in a database, means for analyzing the recorded content of the interaction and extracting keywords and important events, means for generating stories, paintings, and music based on the extracted information, means for publishing the generated works and allowing other users to react and comment, means for analyzing the reactions and comments and notifying the user, means for proposing products and services based on the interaction with the user, and means for re-analyzing the customer's reaction to the proposed products and services based on the analysis results. This makes it possible to propose products and services that are individually optimized based on the consumer's emotions and values.

[1792] "An interface for entering user information" refers to a screen or input device through which a user accesses the system and enters their personal information.

[1793] "Means for recording dialogue content and saving it in a database" refers to a system for recording the content of conversations with users in real time and saving it electronically.

[1794] "Methods for analyzing recorded dialogue content and extracting keywords and important events" refers to technologies that analyze saved dialogue content and automatically extract important information and events from it.

[1795] "Means for generating stories, paintings, and music" refers to methods and devices for generating new creative works such as stories, paintings, and music based on analyzed information.

[1796] "A means of publishing generated works and allowing other users to react and comment" refers to technology that allows generated creative works to be published via the internet or other means, enabling other users to view them and post their impressions and comments.

[1797] "Means of analyzing reactions and comments and notifying users" refers to a system that analyzes feedback from other users and informs the initial user of the results.

[1798] "Methods for proposing products and services" refer to technologies for selecting and proposing appropriate products and services based on the content of user conversations and the results of their analysis.

[1799] "Methods for reanalyzing customer responses" refer to techniques that involve re-analyzing customer reactions to proposed products or services and providing feedback based on those results.

[1800] The system for carrying out this invention includes the following main components:

[1801] User information input interface

[1802] The server provides an interface for users to input basic information such as their name and age through devices like smart glasses. This information is personalized based on analysis of the conversation and product / service recommendations.

[1803] Recording and saving the content of the conversation

[1804] The terminal records the content of the conversation with the user in real time and saves it to the server's database. This conversation content is used for subsequent analysis.

[1805] Recognition of emotions

[1806] The server uses an emotion engine to recognize emotions from the user's facial expressions and voice. For example, smart glasses equipped with a camera and microphone are used. This emotional information is also recorded and incorporated into the analysis.

[1807] Analysis of dialogue content and extraction of insights

[1808] The server analyzes the stored dialogue content and recognized emotions, extracting keywords and important events. This is done using natural language processing (NLP) algorithms.

[1809] Information organization

[1810] The server organizes the user's values ​​and important experiences in chronological order based on extracted keywords and key events.

[1811] Product and service proposals

[1812] The server suggests appropriate products and services to the user based on organized information. Here, a generative AI model is used to generate prompts that align with the user's values ​​and emotions. For example:

[1813] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[1814] Review and adjust generated content

[1815] The generated product and service suggestions are displayed on the terminal interface, allowing users to review and adjust them.

[1816] Publication of the work and feedback

[1817] Detailed information about the suggested product or service is published, and reactions and comments from other users are collected. This feedback is then analyzed again and communicated to the original user.

[1818] Conduct a reanalysis

[1819] By reanalyzing customer reactions to proposed products and services and providing feedback to users based on the results, further optimization can be achieved.

[1820] In this way, it becomes possible to propose products and services that are individually optimized based on the user's emotions and values, thereby achieving higher customer satisfaction.

[1821] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1822] Step 1:

[1823] The server displays an interface for users to input their information using smart glasses. Users enter basic information such as their name, age, and gender. The entered data is sent to the server and stored in the database.

[1824] Input: Basic information such as name, age, and gender

[1825] Output: User information stored in the database

[1826] Step 2:

[1827] The terminal records the conversation with the user in real time and sends that data to the server. The server saves this conversation in text format to a database.

[1828] Input: Dialogue content

[1829] Output: Dialogue text saved in the database

[1830] Step 3:

[1831] The server activates an emotion engine and analyzes the user's emotions from their facial expressions and voice. It uses the smart glasses' camera and microphone to collect data and saves the analysis results to a database.

[1832] Input: User's facial expressions and voice data

[1833] Output: Analyzed sentiment data

[1834] Step 4:

[1835] The server analyzes the recorded dialogue and sentiment data, and uses NLP algorithms to extract keywords and important events. The extracted information is organized chronologically and stored in a database.

[1836] Input: Dialogue text, sentiment data

[1837] Output: Extracted keywords, key events, organized data

[1838] Step 5:

[1839] The server uses a generative AI model to generate stories, paintings, and music based on extracted keywords and key events. This generated content is displayed on the device interface for the user to review and adjust.

[1840] Input: Keywords, important events

[1841] Output: Generated story, painting, music

[1842] Step 6:

[1843] The device publishes the generated work, allowing other users to view and comment on it. The server collects and analyzes these reactions and comments.

[1844] Input: Published works, reactions and comments from other users

[1845] Output: Analyzed reaction and comment data

[1846] Step 7:

[1847] The server notifies the original user of the analyzed reaction and comment data. It also displays the user's information again on the interface if further review or adjustments are needed.

[1848] Input: Analyzed reaction and comment data

[1849] Output: Notified feedback, display content for readjustment

[1850] Step 8:

[1851] The server suggests products and services based on interaction with the user. This suggestion uses a generative AI model to generate prompts, presenting individually optimized products and services. The following prompts are used as an example:

[1852] I've been feeling stressed lately and I really want to relax. What items would you recommend for me?

[1853] Input: Dialogue content, analysis results

[1854] Output: Proposed products and services

[1855] Step 9:

[1856] The server re-analyzes customer reactions to the proposed products and services. Based on the results of the re-analysis, it performs further optimization and sends feedback to the user.

[1857] Input: Customer response data

[1858] Output: Reanalysis results, feedback content

[1859] 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.

[1860] 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.

[1861] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1862] 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.

[1863] 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.

[1864] 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.

[1865] 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.

[1866] 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.

[1867] 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."

[1868] 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.

[1869] 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.

[1870] 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.

[1871] 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.

[1872] 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.

[1873] 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.

[1874] 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.

[1875] 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.

[1876] 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.

[1877] 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.

[1878] 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.

[1879] 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.

[1880] The following is further disclosed regarding the embodiments described above.

[1881] (Claim 1)

[1882] A means of displaying an interface for inputting user information,

[1883] A means of recording the content of conversations with users and saving it in a database,

[1884] A means of analyzing recorded dialogue content and extracting keywords and important events,

[1885] A means of generating stories, paintings, and music based on extracted information,

[1886] A means of publishing the generated work and allowing other users to react and comment,

[1887] A means of analyzing reactions and comments and notifying users,

[1888] A system that includes this.

[1889] (Claim 2)

[1890] The system according to claim 1, further comprising means for organizing recorded dialogue content based on chronological order and values.

[1891] (Claim 3)

[1892] The system according to claim 1, further comprising means for displaying generated stories, paintings, and music, and providing an interface for users to review and adjust them.

[1893] "Example 1"

[1894] (Claim 1)

[1895] A means of displaying a terminal interface for inputting user information,

[1896] A means for recording the content of conversations with users and transmitting it to a central processing unit,

[1897] A means of saving the transmitted conversation content to a database,

[1898] A means of analyzing recorded dialogue content using natural language processing algorithms to extract keywords and important events,

[1899] A method for generating stories, paintings, and music using a generative AI model based on extracted information,

[1900] The generated works are made public from the central processing unit, and other users have a means to react and comment on them.

[1901] A means of analyzing reactions and comments and notifying users via a notification system,

[1902] A system that includes this.

[1903] (Claim 2)

[1904] The system according to claim 1, further comprising means for organizing recorded dialogue content based on chronological order and the user's values.

[1905] (Claim 3)

[1906] The system according to claim 1, further comprising means for displaying generated stories, paintings, and music, and providing a terminal interface for a user to review and adjust them.

[1907] "Application Example 1"

[1908] (Claim 1)

[1909] A means of displaying an interface for inputting user information,

[1910] A means of recording the content of conversations with users and saving it in a database,

[1911] A means of analyzing recorded dialogue content and extracting keywords and important events,

[1912] A means of generating stories, paintings, and music based on extracted information,

[1913] A means of publishing the generated work and allowing other users to react and comment,

[1914] A means of analyzing reactions and comments and notifying users,

[1915] A means of providing an interface for sharing the generated works with other users,

[1916] A means of notifying users of comments and reactions from other users in real time,

[1917] A means of providing an interface for users to review and adjust works generated based on their own stories and values,

[1918] A means of implementation as an application that runs on mobile devices, including smartphones,

[1919] A system that includes this.

[1920] (Claim 2)

[1921] The system according to claim 1, further comprising means for organizing recorded dialogue content based on chronological order and values.

[1922] (Claim 3)

[1923] The system according to claim 1, further comprising means for displaying generated stories, paintings, and music, and providing an interface for users to review and adjust them.

[1924] "Example 2 of combining an emotion engine"

[1925] (Claim 1)

[1926] A means of displaying an interface for inputting user information,

[1927] A means of recording the content of conversations with users and saving it in a database,

[1928] A means of recognizing emotions from the user's facial expressions and voice during a conversation,

[1929] A means of analyzing recorded dialogue content and perceived emotions to extract keywords and important events,

[1930] A means of generating stories, paintings, and music based on extracted information,

[1931] A means of publishing the generated work and allowing other users to react and comment,

[1932] A means of analyzing reactions and comments and notifying users,

[1933] A system that includes this.

[1934] (Claim 2)

[1935] The system according to claim 1, further comprising means for organizing recorded dialogue content based on chronological order and values.

[1936] (Claim 3)

[1937] The system according to claim 1, further comprising means for displaying generated stories, paintings, and music, and providing an interface for a user to review and adjust them.

[1938] "Application example 2 when combining with an emotional engine"

[1939] (Claim 1)

[1940] A means of displaying an interface for inputting user information,

[1941] A means of recording the content of conversations with users and saving it in a database,

[1942] A means of analyzing recorded dialogue content and extracting keywords and important events,

[1943] A means of generating stories, paintings, and music based on extracted information,

[1944] A means of publishing the generated work and allowing other users to react and comment,

[1945] A means of analyzing reactions and comments and notifying users,

[1946] A means of proposing products and services based on dialogue with users,

[1947] A means of re-analyzing customer reactions to products and services proposed based on the analysis results,

[1948] A system that includes this.

[1949] (Claim 2)

[1950] The system according to claim 1, further comprising means for organizing recorded dialogue content based on chronological order and values.

[1951] (Claim 3)

[1952] The system according to claim 1, further comprising means for displaying generated stories, paintings, and music, and providing an interface for users to review and adjust them. [Explanation of Symbols]

[1953] 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 of displaying an interface for inputting user information, A means of recording the content of conversations with users and saving it in a database, A means of analyzing recorded dialogue content and extracting keywords and important events, A means of generating stories, paintings, and music based on extracted information, A means of publishing the generated work and allowing other users to react and comment, A means of analyzing reactions and comments and notifying users, A system that includes this.

2. The system according to claim 1, further comprising means for organizing recorded dialogue content based on chronological order and values.

3. The system according to claim 1, further comprising means for displaying generated stories, paintings, and music, and providing an interface for users to review and adjust them.

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