System

Abstract

A system is provided.SOLUTION: Receiving, by a terminal, authentication information input by a user; authenticating, by a server, the user by collating authentication information of the user with a database; starting, by the terminal, a conversation between the user and an interactive generation AI; recording, by the server, contents of the conversation and arranging the contents of the conversation based on a theme and a time axis; generating, by the server, a story based on the arranged contents; generating, by the server, a picture and music based on the generated story; and displaying, by the terminal, the generated picture, music, and story to the user. A system comprising: means for receiving an edit; and means for saving and publishing, by a server, an edited product.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern society, many people have desires such as "I want to understand myself more deeply," "I want to express myself," and "I want others to know my values ​​and stories." However, for people who are not good at self-expression, it is difficult to achieve these goals. To solve this problem, a means is needed that allows users to easily express their lives and values ​​and share them with others. [Means for solving the problem]

[0005] To solve the above problems, the following means are provided. The system includes a means for accepting authentication information entered by the user via the terminal, and a means for the server to authenticate the user by comparing the user's authentication information with a database. The user initiates a dialogue with the interactive generation AI via the terminal, and the content of that dialogue is recorded by the server. The server organizes the recorded dialogue content based on themes and timelines, and generates a story based on the organized content. The server then generates paintings and music based on the generated story. The generated story, paintings, and music are displayed to the user via the terminal, allowing the user to edit them. The server saves and publishes the edited products. In this way, users can understand and express themselves and share the products they create with others.

[0006] A "terminal" is a device through which a user inputs information and communicates with the system.

[0007] A "server" is a computer that processes and stores data and manages and operates the entire system in cooperation with terminals.

[0008] A "user" is a person who uses the system to input their own information and interact with the interactive generative AI.

[0009] "Authentication Information" means personal identification information used by a User to access a System, such as a User ID and password.

[0010] A "login screen" is an interface for users to enter authentication information.

[0011] A "database" is a system that systematically stores data such as user authentication information, dialogue content, and generated results.

[0012] "Interactive generative AI" is an artificial intelligence system that engages in dialogue with users and generates responses based on the content of that dialogue.

[0013] An "interaction log" is a record of all interactions between a user and a conversational generative AI.

[0014] "Themes" are the main topics or categories used to organize the content of a conversation.

[0015] The "time axis" is a standard for organizing the contents of a dialogue in chronological order.

[0016] A "story" is a form of text generated by organizing and reconstructing the content of a user's dialogue.

[0017] A "painting" is an image or illustration created using visual elements based on a generated story.

[0018] "Music" refers to songs and sound clips created based on the generated story.

[0019] "Publishing" means making the stories, paintings, and music you create available for others to view.

[0020] "Editing" is the act of a user making corrections or additions to a generated story, painting, or music. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6]FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] The purpose of this system is to allow users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. Below, we will explain each element of this system and its functions in detail.

[0043] 1. User login

[0044] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[0045] 2. Start a dialogue with AI

[0046] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[0047] 3. Recording of conversations

[0048] The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to a server, which records it in a database. Meanwhile, the interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server.

[0049] 4. Organizing dialogue content and generating a story

[0050] The server retrieves all logs of the dialogue session from the database, organizes the dialogue content based on themes and timelines, and then runs a story-generation algorithm based on this organized content to generate a story.

[0051] As a concrete example, consider the case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30." This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[0052] 5. Generating paintings and music

[0053] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[0054] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[0055] 6. Checking and editing the generated output

[0056] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[0057] 7. Publication of the Produced Product

[0058] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. In this way, users can share their stories and values ​​with others.

[0059] This system provides an effective means for users who are not good at self-expression to easily express their lives and values ​​and share them with others.

[0060] The processing flow will be explained below.

[0061] Specific program processing flow

[0062] 1. User login

[0063] Step 1:

[0064] The device displays a login screen to the user, and the user enters their user ID and password.

[0065] Step 2:

[0066] The terminal transmits the entered authentication information to the server.

[0067] Step 3:

[0068] The server authenticates the received authentication information by checking it against a database.

[0069] Step 4:

[0070] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[0071] 2. Start a dialogue with AI

[0072] Step 1:

[0073] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[0074] Step 2:

[0075] The terminal sends an interactive session initiation request to the server.

[0076] Step 3:

[0077] The server generates a new session ID and associates it with the interaction log.

[0078] Step 4:

[0079] The server returns a session ID to the terminal and an interactive session begins.

[0080] 3. Recording of conversations

[0081] Step 1:

[0082] The user speaks to the interactive generation AI through the device.

[0083] Step 2:

[0084] The device sends the user's speech to the server.

[0085] Step 3:

[0086] The server records the speech in a database.

[0087] Step 4:

[0088] The server uses interactive generation AI to analyze what the user says and generate an appropriate response.

[0089] Step 5:

[0090] The server sends the AI's response back to the terminal and records it in a database.

[0091] Step 6:

[0092] The device displays the AI's response to the user.

[0093] 4. Organizing dialogue content and generating a story

[0094] Step 1:

[0095] The server retrieves the complete log of the interactive session from the database.

[0096] Step 2:

[0097] The conversation logs acquired by the server are organized based on themes and timelines.

[0098] Step 3:

[0099] The server runs an algorithm that generates a story based on the organized content.

[0100] Step 4:

[0101] The server stores the generated stories in a database.

[0102] 5. Generating paintings and music

[0103] Step 1:

[0104] The server analyzes the generated story and extracts visual and musical elements.

[0105] Step 2:

[0106] The server runs an algorithm to generate a painting based on the extracted elements.

[0107] Step 3:

[0108] The server runs an algorithm to generate music based on the extracted elements.

[0109] Step 4:

[0110] The server stores the generated paintings and music in a database.

[0111] 6. Checking and editing the generated output

[0112] Step 1:

[0113] The device displays the generated stories, paintings, and music to the user.

[0114] Step 2:

[0115] The user checks the displayed output and edits it if necessary.

[0116] Step 3:

[0117] The device sends the edited content to the server.

[0118] Step 4:

[0119] The server stores the received edits in a database and finalizes them as the final product.

[0120] 7. Publication of the Produced Product

[0121] Step 1:

[0122] The user clicks the "Publish" button on the device to send a publishing request to the server.

[0123] Step 2:

[0124] The server receives the publication request and stores the results in a publication database.

[0125] Step 3:

[0126] The server makes the output available to all users.

[0127] Example 1

[0128] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0129] Even users who are not good at self-expression have difficulty effectively expressing their lives and values ​​and sharing them with others. Another issue with conventional systems is that the process of recording user comments in real time, organizing the conversations into a story, and then generating paintings or music based on that is extremely complicated and requires a lot of effort from the user.

[0130] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0131] In this invention, the server includes means for authenticating a user by comparing their authentication information with a database, means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, means for generating a story based on the organized content, means for the server to generate paintings or music based on the generated story, means for transmitting and recording in real time what the user says to the dialogue generation AI, means for the dialogue generation AI to analyze the content of the user's speech and generate an appropriate response and return it to the terminal, and means for the terminal or server to generate a session ID based on the content of the user's speech and response and store the session ID in a database. This allows users to easily express and record their lives and values, and to embody and share that content as a story, painting, or music.

[0132] "Terminal" means a computer system or device operated by a user, including a PC, smartphone, tablet, etc.

[0133] A "server" is a computer system that manages, stores, and processes data, and performs authentication, records dialogue, creates stories, and generates art and music.

[0134] "Authentication information" refers to information such as the user ID and password that a user enters when logging in.

[0135] A "database" is a system that manages and stores structured data, and stores user authentication information, dialogue content, and generated data.

[0136] "Interactive generative AI" is an artificial intelligence model that analyzes what users say and generates appropriate responses, using natural language processing technology.

[0137] "Statement content" refers to the words or sentences that users input into the interactive generation AI.

[0138] A "session ID" is an identifier generated to uniquely identify an interaction session, and is linked to a record of the content of the interaction.

[0139] A "story" is a story generated based on the user's dialogue and is structured around a theme and timeline.

[0140] "Paintings" are images generated based on the visual elements of a story.

[0141] "Music" is a musical composition generated based on the emotions and themes of the story.

[0142] "Products" is a general term for the stories, paintings, and music that are generated.

[0143] "Publishing" means making the creation available for other users to view.

[0144] This invention is a system that allows users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. This system is realized using the following main hardware and software:

[0145] 1. Hardware

[0146] Terminal: A computer system or device operated by a user (PC, smartphone, tablet).

[0147] Server: A computer system that manages, stores, and processes data.

[0148] 2. Software

[0149] Database system: A system that manages and stores structured data (e.g., MySQL)

[0150] Generative AI model: An artificial intelligence that analyzes what a user says and generates an appropriate response (e.g., GPT-4)

[0151] Authentication system: A system that manages and verifies user authentication information

[0152] Conversational interface: an interface for users to interact with conversational generative AI

[0153] Specific Examples

[0154] 1. User login

[0155] The user accesses the login screen using a device and enters authentication information such as a user ID and password. The device then sends this authentication information to the server using the HTTPS protocol. The server compares the received authentication information with a database for authentication, and if successful, generates a session token and sends it back to the device.

[0156] 2. Starting an interactive session

[0157] After successfully logging in, the user clicks the "Start Interaction" button to start an interactive session. The device sends a request to the server to start an interactive session. The server generates a new session ID, associates it with the user's interaction log, and saves the information in the database.

[0158] 3. Recording of conversations

[0159] The user speaks to the generative AI model through the device about their own life and values. An example of a prompt sentence is, "I decided to change jobs when I was 30." The device sends this speech to the server in real time. The server records the received speech in a database. At the same time, the generative AI model analyzes the user's speech and generates an appropriate response. This response is sent back to the device via the server, which also records the response.

[0160] 4. Organizing dialogue content and generating a story

[0161] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines. The server then runs a story-generation algorithm based on the organized content, generating a story. For example, if a user talks about "why I decided to change jobs at age 30," this dialogue will be associated with the theme of "changing jobs" and a story titled "A turning point at age 30" will be generated.

[0162] 5. Generating paintings and music

[0163] The server generates paintings and music based on the generated story. It analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[0164] 6. Checking and editing the generated output

[0165] The user can view the generated story, paintings, and music through their device and edit them as needed. For example, they can read the generated "Turning Point at Age 30" story, or listen to the paintings and music. The edited content is then sent back to the server, which stores it in a database.

[0166] 7. Publication of the Produced Product

[0167] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. This allows users to share their stories and values ​​with others.

[0168] The above is a concrete example of the process by which users can effectively express their own lives and values ​​and share them with others. The system is designed to be easy to use even for users who are not good at expressing themselves.

[0169] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0170] Step 1: User enters credentials

[0171] The user accesses the login screen of the device and enters authentication information such as a user ID and password. This input data is the user's authentication information (user ID and password).

[0172] Step 2: Send authentication information to the server

[0173] The terminal sends the entered authentication information to the server using the HTTPS protocol. The input is the user's authentication information, and the output is the data sent to the server.

[0174] Step 3: Verify credentials

[0175] The server checks the received authentication information against a database, running a SQL query to verify the authentication information against the database to see if it matches the authentication information in the database. The input is the authentication information sent to the server, and the output is the authentication result (success or failure).

[0176] Step 4: Return authentication results to the user

[0177] The server generates an authentication result, and if successful, a session token. The session token is a temporary identifier to maintain the authenticated session. The authentication result (session token or error message) is returned to the terminal. The input is the authentication result, and the output is the data returned to the user.

[0178] Step 5: Send an initiating request

[0179] After the user successfully logs in, he clicks the "Start Interaction" button. The terminal sends a request to the server to start an interactive session. The input is the user's interaction start operation, and the output is the request data sent to the server.

[0180] Step 6: Generate an interactive session ID

[0181] The server generates a new session ID and associates it with the user's interaction log. The session ID is a unique identifier for the interaction and is managed within the server. An appropriate algorithm for session ID generation is used. The input is the request to start the interaction session, and the output is the generated session ID.

[0182] Step 7: Receive and record user comments

[0183] The user uses a device to make statements to the generative AI model. For example, they might say, "I decided to change jobs when I was 30 years old." The device then sends this statement to the server in real time. The input is the user's spoken text, and the output is the data sent to the server.

[0184] Step 8: Record what was said in the database

[0185] The server records the received speech content in a database. The speech content is saved in the database along with the session ID. The input is the received speech content, and the output is the data saved in the database.

[0186] Step 9: Generate an AI response

[0187] Conversational generative AI analyzes what users say and generates appropriate responses. It analyzes what users say based on an algorithm and generates the optimal response. The input is the user's spoken text, and the output is the generated response text.

[0188] Step 10: Send the response back to the user and record it

[0189] The server sends the generated AI response back to the terminal and simultaneously records it in a database. The response text is saved in the database with the same session ID as the speech content. The input is the generated response text, and the output is the data sent back to the user and saved in the database.

[0190] Step 11: Organize the dialogue and generate a story

[0191] The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. It then runs a story generation algorithm based on the organized content to generate a story. The input is the dialogue log data, and the output is the generated story.

[0192] Step 12: Generate art and music

[0193] The server analyzes the generated story and extracts visual and musical elements from it. Based on these elements, the server runs algorithms for generating paintings and music. The input is the generated story, and the output is painting data and music data.

[0194] Step 13: Display the result to the user and accept edits

[0195] The user can review the generated story, painting, and music through their device and edit them as needed. For example, they can read the generated story "A Turning Point at Age 30" and make edits. The edits are then sent back to the server. The input is the review of the generated story and the edits, and the output is the transmission of the edited data.

[0196] Step 14: Save and publish your edited product

[0197] The server saves the edited product in a database and makes it public when the user presses the "Publish" button. The product is saved in the public database and made accessible. The input is the edited product, and the output is the published product data.

[0198] The above are the specific processing steps of this system.

[0199] (Application example 1)

[0200] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0201] In recent years, advances in interactive generative AI technology have made it easier for users to embody their own lives and values ​​as stories, paintings, and music. However, there is a need for ways to provide users with richer experiences. In particular, sharing with other users using video and virtual reality (VR) is expected to further deepen the sharing of self-expression and foster empathy with others. The objective of this invention is to provide a system that allows users to embody content generated by interactive generative AI in a virtual space and share and experience it with other users.

[0202] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0203] In this invention, the server includes means for recording the content of the conversations and organizing the content of the conversations based on themes and timelines, means for generating a story based on the organized content, means for generating and displaying a virtual space based on the generated story, and means for allowing other users to share and experience the virtual space. This not only allows users to embody the content of their conversations as a virtual space, but also allows them to share that virtual space with other users, creating deeper emotions and empathy.

[0204] "Terminal" means a device that allows a user to send input information and receive and display generated content.

[0205] "Authentication information" refers to information such as user ID and password used by a user to access a system.

[0206] A "server" is a central processing unit that provides functions such as data storage and management, authentication, recording and analysis of conversation content, and content generation and publication.

[0207] A "database" is a system for systematically storing and managing various data such as authentication information, conversation details, and generated content.

[0208] "Interactive generative AI" is an artificial intelligence system that analyzes what users say and generates appropriate responses and content.

[0209] "Dialogue content" refers to the content of text, audio information, and other information exchanged between the user and the dialogue generation AI.

[0210] "Themes and timelines" are themes and chronological information used to organize the content of the dialogue.

[0211] "Story" is a storytelling-style text content generated based on the user's dialogue.

[0212] "Art and Music" refers to content that includes visual or musical elements based on a generated story.

[0213] A "virtual space" is a virtual environment that users can visually experience, constructed based on generated stories and dialogue content.

[0214] "Sharing" means viewing and experiencing the generated virtual space and content together with other users.

[0215] To implement this invention, the user first enters authentication information on the terminal and sends it to the server. The server then verifies this authentication information against a database. If authentication is successful, the user can begin a dialogue with the interactive generation AI. An interactive session begins by clicking the dialogue start button on the terminal. The server generates a new session ID and associates it with the user's dialogue log.

[0216] During the dialogue, the user speaks about their own life and values ​​and receives responses from the interactive generation AI. The user's comments and the AI's responses are recorded in real time on the server, and the content of the dialogue is organized. The server organizes the dialogue based on themes and timelines, and generates a story based on this organized content. The generated story is further analyzed to extract visual and musical elements for generating paintings and music. The server then uses appropriate algorithms to generate paintings and music based on these elements.

[0217] Next, a virtual space is constructed and displayed based on the generated story. The server uses software such as Unity VR API to recreate the scenes and emotions contained in the story within the VR space. This allows users to visually experience the generated virtual space through a dedicated device (smartphone or head-mounted display). Other users can also share and experience this virtual space.

[0218] The generated stories, pictures, music, and virtual spaces are displayed to the user through their device, and the user can edit them. The edited content is sent back to the server, which stores it in a database. When the user presses the publish button, the created content is saved in a public database and becomes viewable by other users.

[0219] The main hardware used includes the user's device (smartphone or head-mounted display), the server, and the device for generating and displaying the virtual space. The main software used includes Flask (for server-side processing), OpenAI API (for interactive generative AI), and Unity VR API (for generating the virtual space).

[0220] For example, if a user talks to a conversation generation AI about "why I decided to change jobs at age 30," the conversation content is recorded as a conversation log, and a story and virtual space are generated based on that. The following is an example of a prompt sentence:

[0221] Prompt statement:

[0222] We will talk about "Why I decided to change jobs at age 30." We will ask the AI ​​about the reason for changing jobs and dig deeper depending on the answer.

[0223] Based on this prompt, what the user says is analyzed by AI and then embodied as a story or virtual space. Users can share this virtual space with other users, deepening empathy and emotion.

[0224] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0225] Step 1: The user uses a terminal to access the login screen and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server authenticates the received authentication information by checking it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. The input is the user's authentication information, and the output is the session token. Data processing involves checking the authentication information.

[0226] Step 2: After the user receives the session token, they click the "Start Interaction" button on their device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log. The input is the request to start the interaction, and the output is the session ID. The data operation is the generation of the session ID.

[0227] Step 3: The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to the server, which records it in a database. The interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server. The input is the user's speech, and the output is the interactive generation AI's response. Data processing involves recording the speech and generating a response.

[0228] Step 4: The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. A story generation algorithm is run based on this organized content to generate a story. The input is the dialogue session log, and the output is the generated story. Data processing involves organizing the dialogue content and generating a story.

[0229] Step 5: The server analyzes the generated story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. The input is the generated story, and the output is paintings or music. Data processing involves extracting visual and musical elements and generating content.

[0230] Step 6: The terminal displays the generated story, painting, or music to the user, who can then edit it. The edited content is sent back to the server, which stores it in a database. The input is the generated content, and the output is the edited content. Data processing involves displaying the content and saving the edited content.

[0231] Step 7: The server generates a virtual space based on the edited content. Specifically, it uses the Unity VR API or similar to recreate the scenes and emotions contained in the story within the VR space. The input is the edited content, and the output is a scene in the virtual space. Data processing is the generation of the virtual space.

[0232] Step 8: After the virtual space is generated, the device displays it to the user and makes it available for sharing with other users. Users who share the space can also experience the same virtual space. The input is a virtual space scene, and the output is a VR space that users can experience. Data processing is data management for sharing.

[0233] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0234] The system aims to allow users to express their own lives and values ​​using interactive generative AI, then embody and publish them as stories, paintings, or music. It also incorporates an emotion engine that recognizes the user's emotions to enhance the user experience. Below, we will explain each element of the system and its functions in detail.

[0235] 1. User login

[0236] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[0237] 2. Start a dialogue with AI

[0238] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[0239] 3. Emotion recognition by emotion engine and recording of conversation content

[0240] The user speaks to the interactive generation AI through their device. At this time, the emotion engine recognizes emotions from the user's speech and input. The user's speech and emotional information are sent to the server in real time, and the server records the content in a database.

[0241] The server uses a conversational generation AI to analyze the user's comments and generate an appropriate response based on the recognized emotional information. The generated response is sent back to the device and simultaneously recorded in a database. The device then displays the AI's response to the user.

[0242] 4. Organizing dialogue content and generating a story

[0243] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information.The server then runs a story-generation algorithm based on the organized content to generate a story.

[0244] As a concrete example, consider a case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30," and the emotion engine recognizes the user's feelings such as anxiety and expectation. This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[0245] 5. Generating paintings and music

[0246] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements, as well as recognized emotional elements. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[0247] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions (anxiety and anticipation) in the story will be generated.

[0248] 6. Checking and editing the generated output

[0249] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[0250] 7. Publication of the Produced Product

[0251] When a user presses the "Publish" button, a request to publish the creation is sent to the server. The server stores the creation in a public database and makes it available to all users. In this way, users can share their creations that reflect their own stories, values, and emotions with others.

[0252] This system provides an effective means for users who are not good at expressing themselves to easily express their lives and values ​​and share them with others. In addition, by combining it with an emotion engine, it can generate more personal content that reflects the user's emotions, improving the user experience.

[0253] The processing flow will be explained below.

[0254] Specific program processing flow (including emotion engine)

[0255] 1. User login

[0256] Step 1:

[0257] The device displays a login screen to the user, and the user enters their user ID and password.

[0258] Step 2:

[0259] The terminal transmits the entered authentication information to the server.

[0260] Step 3:

[0261] The server authenticates the received authentication information by checking it against a database.

[0262] Step 4:

[0263] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[0264] 2. Start a dialogue with AI

[0265] Step 1:

[0266] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[0267] Step 2:

[0268] The terminal sends an interactive session initiation request to the server.

[0269] Step 3:

[0270] The server generates a new session ID and associates it with the interaction log.

[0271] Step 4:

[0272] The server returns a session ID to the terminal and an interactive session begins.

[0273] 3. Emotion recognition by emotion engine and recording of conversation content

[0274] Step 1:

[0275] The user speaks to the interactive generation AI through the device.

[0276] Step 2:

[0277] The device sends the user's comments and the results of the emotion engine's analysis to the server.

[0278] Step 3:

[0279] The server records the content of the speech and emotional information in a database.

[0280] Step 4:

[0281] The server uses interactive generation AI to analyze what the user says and generate an appropriate response that reflects emotional information.

[0282] Step 5:

[0283] The server sends the AI's response back to the terminal and records it in a database.

[0284] Step 6:

[0285] The device displays the AI's response to the user.

[0286] 4. Organizing dialogue content and generating a story

[0287] Step 1:

[0288] The server retrieves the complete log of the interactive session from the database.

[0289] Step 2:

[0290] The server organizes the conversation logs based on themes and timelines, taking into account emotional information.

[0291] Step 3:

[0292] The server runs an algorithm that generates a story based on the organized content.

[0293] Step 4:

[0294] The server stores the generated stories in a database.

[0295] 5. Generating paintings and music

[0296] Step 1:

[0297] The server analyzes the generated narrative and extracts visual, musical, and perceived emotional elements.

[0298] Step 2:

[0299] The server runs an algorithm to generate a painting based on the extracted elements.

[0300] Step 3:

[0301] The server runs an algorithm to generate music based on the extracted elements.

[0302] Step 4:

[0303] The server stores the generated paintings and music in a database.

[0304] 6. Checking and editing the generated output

[0305] Step 1:

[0306] The device displays the generated stories, paintings, and music to the user.

[0307] Step 2:

[0308] The user checks the displayed output and edits it if necessary.

[0309] Step 3:

[0310] The device sends the edited content to the server.

[0311] Step 4:

[0312] The server stores the received edits in a database and finalizes them as the final product.

[0313] 7. Publication of the Produced Product

[0314] Step 1:

[0315] The user clicks the "Publish" button on the device to send a publishing request to the server.

[0316] Step 2:

[0317] The server receives the publication request and stores the results in a publication database.

[0318] Step 3:

[0319] The server makes the output available to all users.

[0320] Example 2

[0321] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0322] In modern society, it is important for users to express their lives and values ​​and share them with others. However, for users who are not good at self-expression, creative activities such as storytelling, painting, and music are difficult. Furthermore, it is difficult to generate content that appropriately reflects emotions, and a generation method that takes emotions into account is needed to improve the user experience.

[0323] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for authenticating a user by comparing the authentication information of the user with a database, a means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, a means for generating a story based on the organized content, and a means including an emotion engine for recognizing emotions from the content of the user's utterances. This allows a user to express their own life and values ​​using an interactive generation AI, and then embody and publish them as a story, painting, or music.

[0324] A "terminal" is an electronic device operated by a user, including a personal computer, smartphone, tablet, etc.

[0325] A "user" is an individual who uses this system, inputs authentication information via a terminal, and interacts with the interactive generative AI.

[0326] "Authentication Information" means the information a User enters to verify his / her identity, including User ID and password.

[0327] A "server" is a central computer that manages and controls the entire system, and performs various data processing, response generation, database management, etc.

[0328] A "database" is a collection of data accessed by the server, and stores user information, dialogue logs, generated stories, paintings, music, and so on.

[0329] "Interactive generative AI" refers to artificial intelligence technology that analyzes user statements and generates appropriate responses, and includes models that use natural language processing technology.

[0330] The "emotion engine" is a mechanism that recognizes emotions from the content of a user's statements, analyzes the user's emotional state, and processes it as data.

[0331] "Story" refers to a text-based creative work generated based on the user's dialogue and emotional information.

[0332] "Painting" refers to a work of art containing a visual representation generated by the server based on a story.

[0333] "Music" refers to artwork containing auditory expressions generated by the server based on narrative and recognized emotional information.

[0334] "Editing" refers to the act of a user making corrections or changes to a generated story, painting, or music.

[0335] "Publishing" refers to the act of a user making a product available for other users to view, and includes the server storing the product in a public database.

[0336] "Products" refers to all creative works such as stories, paintings, and music that are generated through this system.

[0337] This invention is a system that allows users to express their own lives and values, embody them as stories, paintings, or music, and share them with others. This system utilizes interactive generation AI and an emotion engine to generate content that reflects the user's emotions, improving the user experience.

[0338] System Overview

[0339] The system consists of a terminal operated by the user, a server that processes and stores data, and a database that manages the recorded data. Specifically, it includes the following components:

[0340] Devices: Electronic devices such as computers, smartphones, and tablets

[0341] Server: A central computer that processes data and generates responses

[0342] Database: A data collection that stores user information, interaction logs, and generated content.

[0343] User login

[0344] The user accesses the login screen on their device and enters their user ID and password. The device then sends the encrypted authentication information to the server. The server compares the received authentication information with a database, and if authentication is successful, generates a session token and sends it back to the device. This token is used to manage subsequent sessions.

[0345] Start a dialogue

[0346] After the user successfully logs in, they click the "Start Interaction" button. The device sends a start interaction request to the server, which generates a new session ID and associates it with the user's account. This session ID is then associated with the interaction log.

[0347] Emotion recognition and dialogue recording

[0348] The user speaks to the interactive generative AI and sends the content to the server in real time. The server's emotion engine recognizes emotions from the content of the speech and records them in a database. The server uses a generative AI model (e.g., GPT-3) to generate an appropriate response and sends it back to the device. The device then displays the generated response to the user.

[0349] Organizing dialogue content and generating stories

[0350] Once the interactive session is over, the server retrieves all logs from the database, organizes them based on themes and timelines, and runs a story generation algorithm (e.g., a story titled "The Turning Point at Age 30" is generated).

[0351] Painting and music generation

[0352] Based on the story, the server extracts visual and musical elements and generates paintings and music using deep learning algorithms. The generated content also reflects emotional information.

[0353] Checking and editing the generated output

[0354] The user can review the stories, paintings, and music created through the device and edit them as needed, and the device sends the edited content to the server, which stores it in a database.

[0355] Publication of the product

[0356] When a user presses the "Publish" button, the device sends a publication request to the server, which then stores the result in a public database and makes it available to all users.

[0357] Specific examples

[0358] A specific example is a prompt sentence such as, "I decided to change jobs at the age of 30. The reason was that I wanted opportunities for growth." Based on this prompt, the emotion engine recognizes emotions such as "anxiety" and "expectation," and the generative AI generates a story based on that content. Furthermore, paintings and music are generated based on this story, which users can view, edit, and publish.

[0359] (Example of a prompt)

[0360] "I had a really hard time at my first job after graduating from college, and I want to talk about that experience."

[0361] "I lost a loved one last year. Tell me about how I overcame that grief."

[0362] In this way, users input their own experiences and emotions into the system, which then uses interactive generative AI and emotion engine technology to generate individually personalized stories and works of art.

[0363] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0364] Step 1:

[0365] The user accesses the login screen and enters their authentication information.

[0366] The user opens the login screen on their device and enters their user ID and password. The entered authentication information is encrypted and sent from the device to the server.

[0367] Input: User ID and password

[0368] Output: Encrypted credentials

[0369] Step 2:

[0370] The server receives the authentication information and authenticates it against a database.

[0371] The server receives the encrypted authentication information sent from the device and compares it with the user information stored in the database. If authentication is successful, it generates a session token and returns it to the device.

[0372] Input: Encrypted credentials

[0373] Output: Session token

[0374] Step 3:

[0375] The user clicks the "Start conversation" button to send a request to start a conversation.

[0376] After being authenticated, the user clicks the "Start conversation" button on the device. When this click event occurs, the device sends a conversation start request to the server. The request also includes the session token.

[0377] Input: "Start Interaction" button click event, session token

[0378] Output: Initiating request

[0379] Step 4:

[0380] The server generates a new session ID and associates it with the interaction log.

[0381] When the server receives a conversation initiation request, it generates a new session ID, which is associated with the user's conversation log and sent back to the device.

[0382] Input: Dialogue-initiating request

[0383] Output: Session ID

[0384] Step 5:

[0385] The user speaks to the interactive generation AI, and the spoken content is sent from the device to the server.

[0386] Users speak to the interactive generation AI, and the content is sent to the server in real time via their device.

[0387] Input: What the user says

[0388] Output: Speech content data

[0389] Step 6:

[0390] The server uses an emotion engine to recognize emotions from the content of the speech.

[0391] The server passes the received comments to the emotion engine, which analyzes the user's emotions. For example, if a comment says, "I'm worried about changing jobs," it recognizes emotions such as anxiety and expectation.

[0392] Input: Speech content data

[0393] Output: Emotional information

[0394] Step 7:

[0395] The server records the content of the speech and emotional information in a database.

[0396] The emotion information recognized by the emotion engine and the content of the utterance are stored in a database by the server.

[0397] Input: Speech content data, emotional information

[0398] Output: Records in the database

[0399] Step 8:

[0400] The server uses a generative AI model to generate an appropriate response.

[0401] The server uses interactive generative AI (generative AI model) to generate appropriate responses based on the user's statements and emotional information.

[0402] Input: Speech content data, emotional information

[0403] Output: The generated response

[0404] Step 9:

[0405] The terminal displays the generated response to the user.

[0406] The server generates a response and sends it to the terminal, which displays it to the user.

[0407] Input: Generated response

[0408] Output: What is displayed to the user

[0409] Step 10:

[0410] The server obtains the user's dialogue and generates a story.

[0411] After the dialogue log is completed, the server retrieves all logs from the database, organizes them based on themes and timelines, and then runs a story generation algorithm based on the organized content.

[0412] Input: All conversation logs

[0413] Output: The generated story

[0414] Step 11:

[0415] The server generates paintings and music from the story.

[0416] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music.

[0417] Input: Generated story

[0418] Output: Generated paintings, music

[0419] Step 12:

[0420] User-generated stories, paintings, and music can be viewed and edited.

[0421] Users can view the generated content through their devices and edit it as needed.

[0422] Input: Generated stories, paintings, music

[0423] Output:Edit

[0424] Step 13:

[0425] The server stores and publishes the edited products.

[0426] The user's edits are sent back to the server, which saves them in a database. When the user clicks the publish button, the results are saved in a public database, where they can be viewed by all users.

[0427] Input: Edits, publishing requests

[0428] Output: Published artifacts

[0429] (Application example 2)

[0430] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0431] In recent years, many users desire self-expression, but many find it difficult to communicate their lives and values ​​to others. Furthermore, conventional methods have difficulty generating entertainment content that reflects human emotions. Existing tools and applications make it difficult to easily generate personalized stories, paintings, and music that incorporate users' emotions and share them with others.

[0432] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0433] In this invention, the server includes a means for recognizing a user's emotions using an emotion recognition engine and reflecting them in the dialogue, a means for an interactive generation AI to analyze the user's utterances and generate an appropriate response, and a means for generating pictures and music based on the generated story. This makes it possible to easily generate stories, visuals, and music that reflect the user's emotions and share them as personal and moving content.

[0434] A "terminal" is an electronic device that allows a user to input and confirm information.

[0435] A "user" is someone who uses the system to enter authentication information and express their own life and values.

[0436] "Authentication information" refers to information such as the user ID and password used by a user to log in to a system.

[0437] A "server" is a central computer system that receives authentication information from users, collates it with a database to perform authentication, and performs other processing.

[0438] A "database" is a system for structuring, storing, and managing information such as user information, dialogue logs, and generated results.

[0439] "Interactive generative AI" is an artificial intelligence system that analyzes what a user says through dialogue with them and generates an appropriate response.

[0440] An "emotion recognition engine" is a system that recognizes emotions from the content of a user's statements and input.

[0441] A "story" is text content generated based on the dialogue between the user and the interactive generation AI.

[0442] "Paintings" are visual content generated by an algorithm based on the content and emotions of a generated story.

[0443] "Music" is an auditory content generated by an algorithm based on the content and emotions of the generated story.

[0444] "Editing" refers to a user making changes or modifications to a generated story, painting, or piece of music.

[0445] "Publishing" means making the generated story, painting, or music available to other users and the public.

[0446] This invention is a system that allows users to express their own lives and values ​​using an interactive generation AI and an emotion recognition engine, and then embody and publish them as stories, paintings, and music. This system includes the following elements, and specific embodiments will be described below.

[0447] 1. User login

[0448] The user enters authentication information (user ID and password) on the terminal. The terminal sends this authentication information to the server, which then verifies it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. This procedure authenticates the user.

[0449] 2. Start a dialogue with AI

[0450] After a user successfully logs in, an interactive session begins by clicking the "Start Interaction" button on the terminal. The server generates a new session ID and associates it with the interaction log, thereby recording the interaction.

[0451] 3. Emotion Recognition by Emotion Engine

[0452] The user's comments are sent to the dialogue generation AI, and at the same time, the emotion recognition engine analyzes the user's emotions in real time. The user's comments and the recognized emotional information are sent to the server and recorded in a database. For example, if a user says, "I decided to change jobs when I was 30 years old," the system recognizes the emotion at that time and reflects it in the dialogue.

[0453] 4. Organizing the content of the dialogue

[0454] The server organizes all conversation logs based on themes and timelines, taking emotional information into consideration. Based on the organized content, an algorithm is run to generate a story, such as "A turning point at age 30."

[0455] 5. Generating paintings and music

[0456] Based on the generated story, the server automatically generates art and music. Visual and musical elements that reflect the scenery and emotions of the story are extracted, and the corresponding algorithms are executed.

[0457] 6. Checking and editing the generated output

[0458] The user can view the generated story, painting, and music on their device and edit them as needed. Once the user confirms the edits, the data is sent back to the server and saved in the database.

[0459] 7. Publication of the Produced Product

[0460] When a user presses the "Publish" button, the resulting work is saved in a public database and becomes available for all users to view, allowing users to share their own expressions with others.

[0461] The implementation of this system utilizes the following hardware and software:

[0462] Server: Authentication processing, database operations, execution of generative AI models

[0463] Terminal: User input, interactive display, editing operations

[0464] Emotion Recognition Engine: Emotion recognition and analysis

[0465] Dialogue-based generative AI: Analysis of speech content and response generation

[0466] Example: Prompt sentence example

[0467] "I decided to change jobs when I was 30. At the time, I felt both anxious and excited."

[0468] By inputting this prompt, the system can analyze the user's emotions and dialogue and generate appropriate stories, paintings, and music.

[0469] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0470] Step 1:

[0471] The user accesses the login screen using a terminal and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server compares the received authentication information with a database and performs authentication. If authentication is successful, the server generates a session token and sends it back to the terminal.

[0472] Input: User ID, Password

[0473] Output: Session token (if authentication is successful)

[0474] Step 2:

[0475] After successfully logging in, the user clicks the "Start Interaction" button on the device. The device sends a request to the server to start an interaction session. The server generates a new session ID and associates it with the interaction log.

[0476] Input: Session token

[0477] Output: Session ID

[0478] Step 3:

[0479] When a user speaks to the interactive generation AI on their device, the emotion recognition engine analyzes the user's speech in real time and recognizes their emotions. The speech content and the recognized emotional information are sent to the server and recorded in a database. The server then uses the interactive generation AI to analyze the speech content, generate an appropriate response, and send that response back to the device.

[0480] Input: User comment

[0481] Output: AI response, emotional information

[0482] Step 4:

[0483] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information. It then runs a story-generation algorithm based on the organized content, which generates a story.

[0484] Input: Dialogue log (contents of speech, emotional information)

[0485] Output: The generated story

[0486] Step 5:

[0487] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music that reflect the scenes and emotions of the story.

[0488] Input: Generated story

[0489] Output: Generated paintings, music

[0490] Step 6:

[0491] The user can review the stories, paintings, and music they have created through their device and make edits as needed. Once the edits are confirmed, the device sends them to the server, which then stores the edited results in a database.

[0492] Input: Editing content (story, painting, music)

[0493] Output: Saved edits

[0494] Step 7:

[0495] When a user presses the "Publish" button, a request to publish the product is sent to the server, which then stores the product in a public database and makes it available to all users.

[0496] Input: Publishing request

[0497] Output: Published artifacts

[0498] As described above, at each step, data processing and calculations are performed based on the input data to generate appropriate output, enabling users to create and share stories, paintings, and music that express their own lives and values.

[0499] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0500] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0501] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0502] [Second embodiment]

[0503] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0504] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0505] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0506] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0507] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0508] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0509] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0510] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0511] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0512] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0513] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0514] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0515] The purpose of this system is to allow users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. Below, we will explain each element of this system and its functions in detail.

[0516] 1. User login

[0517] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[0518] 2. Start a dialogue with AI

[0519] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[0520] 3. Recording of conversations

[0521] The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to a server, which records it in a database. Meanwhile, the interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server.

[0522] 4. Organizing dialogue content and generating a story

[0523] The server retrieves all logs of the dialogue session from the database, organizes the dialogue content based on themes and timelines, and then runs a story-generation algorithm based on this organized content to generate a story.

[0524] As a concrete example, consider the case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30." This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[0525] 5. Generating paintings and music

[0526] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[0527] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[0528] 6. Checking and editing the generated output

[0529] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[0530] 7. Publication of the Produced Product

[0531] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. In this way, users can share their stories and values ​​with others.

[0532] This system provides an effective means for users who are not good at self-expression to easily express their lives and values ​​and share them with others.

[0533] The processing flow will be explained below.

[0534] Specific program processing flow

[0535] 1. User login

[0536] Step 1:

[0537] The device displays a login screen to the user, and the user enters their user ID and password.

[0538] Step 2:

[0539] The terminal transmits the entered authentication information to the server.

[0540] Step 3:

[0541] The server authenticates the received authentication information by checking it against a database.

[0542] Step 4:

[0543] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[0544] 2. Start a dialogue with AI

[0545] Step 1:

[0546] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[0547] Step 2:

[0548] The terminal sends an interactive session initiation request to the server.

[0549] Step 3:

[0550] The server generates a new session ID and associates it with the interaction log.

[0551] Step 4:

[0552] The server returns a session ID to the terminal and an interactive session begins.

[0553] 3. Recording of conversations

[0554] Step 1:

[0555] The user speaks to the interactive generation AI through the device.

[0556] Step 2:

[0557] The device sends the user's speech to the server.

[0558] Step 3:

[0559] The server records the speech in a database.

[0560] Step 4:

[0561] The server uses interactive generation AI to analyze what the user says and generate an appropriate response.

[0562] Step 5:

[0563] The server sends the AI's response back to the terminal and records it in a database.

[0564] Step 6:

[0565] The device displays the AI's response to the user.

[0566] 4. Organizing dialogue content and generating a story

[0567] Step 1:

[0568] The server retrieves the complete log of the interactive session from the database.

[0569] Step 2:

[0570] The conversation logs acquired by the server are organized based on themes and timelines.

[0571] Step 3:

[0572] The server runs an algorithm that generates a story based on the organized content.

[0573] Step 4:

[0574] The server stores the generated stories in a database.

[0575] 5. Generating paintings and music

[0576] Step 1:

[0577] The server analyzes the generated story and extracts visual and musical elements.

[0578] Step 2:

[0579] The server runs an algorithm to generate a painting based on the extracted elements.

[0580] Step 3:

[0581] The server runs an algorithm to generate music based on the extracted elements.

[0582] Step 4:

[0583] The server stores the generated paintings and music in a database.

[0584] 6. Checking and editing the generated output

[0585] Step 1:

[0586] The device displays the generated stories, paintings, and music to the user.

[0587] Step 2:

[0588] The user checks the displayed output and edits it if necessary.

[0589] Step 3:

[0590] The device sends the edited content to the server.

[0591] Step 4:

[0592] The server stores the received edits in a database and finalizes them as the final product.

[0593] 7. Publication of the Produced Product

[0594] Step 1:

[0595] The user clicks the "Publish" button on the device to send a publishing request to the server.

[0596] Step 2:

[0597] The server receives the publication request and stores the results in a publication database.

[0598] Step 3:

[0599] The server makes the output available to all users.

[0600] Example 1

[0601] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0602] Even users who are not good at self-expression have difficulty effectively expressing their lives and values ​​and sharing them with others. Another issue with conventional systems is that the process of recording user comments in real time, organizing the conversations into a story, and then generating paintings or music based on that is extremely complicated and requires a lot of effort from the user.

[0603] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0604] In this invention, the server includes means for authenticating a user by comparing their authentication information with a database, means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, means for generating a story based on the organized content, means for the server to generate paintings or music based on the generated story, means for transmitting and recording in real time what the user says to the dialogue generation AI, means for the dialogue generation AI to analyze the content of the user's speech and generate an appropriate response and return it to the terminal, and means for the terminal or server to generate a session ID based on the content of the user's speech and response and store the session ID in a database. This allows users to easily express and record their lives and values, and to embody and share that content as a story, painting, or music.

[0605] "Terminal" means a computer system or device operated by a user, including a PC, smartphone, tablet, etc.

[0606] A "server" is a computer system that manages, stores, and processes data, and performs authentication, records dialogue, creates stories, and generates art and music.

[0607] "Authentication information" refers to information such as the user ID and password that a user enters when logging in.

[0608] A "database" is a system that manages and stores structured data, and stores user authentication information, dialogue content, and generated data.

[0609] "Interactive generative AI" is an artificial intelligence model that analyzes what users say and generates appropriate responses, using natural language processing technology.

[0610] "Statement content" refers to the words or sentences that users input into the interactive generation AI.

[0611] A "session ID" is an identifier generated to uniquely identify an interaction session, and is linked to a record of the content of the interaction.

[0612] A "story" is a story generated based on the user's dialogue and is structured around a theme and timeline.

[0613] "Paintings" are images generated based on the visual elements of a story.

[0614] "Music" is a musical composition generated based on the emotions and themes of the story.

[0615] "Products" is a general term for the stories, paintings, and music that are generated.

[0616] "Publishing" means making the creation available for other users to view.

[0617] This invention is a system that allows users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. This system is realized using the following main hardware and software:

[0618] 1. Hardware

[0619] Terminal: A computer system or device operated by a user (PC, smartphone, tablet).

[0620] Server: A computer system that manages, stores, and processes data.

[0621] 2. Software

[0622] Database system: A system that manages and stores structured data (e.g., MySQL)

[0623] Generative AI model: An artificial intelligence that analyzes what a user says and generates an appropriate response (e.g., GPT-4)

[0624] Authentication system: A system that manages and verifies user authentication information

[0625] Conversational interface: an interface for users to interact with conversational generative AI

[0626] Specific Examples

[0627] 1. User login

[0628] The user accesses the login screen using a device and enters authentication information such as a user ID and password. The device then sends this authentication information to the server using the HTTPS protocol. The server compares the received authentication information with a database for authentication, and if successful, generates a session token and sends it back to the device.

[0629] 2. Starting an interactive session

[0630] After successfully logging in, the user clicks the "Start Interaction" button to start an interactive session. The device sends a request to the server to start an interactive session. The server generates a new session ID, associates it with the user's interaction log, and saves the information in the database.

[0631] 3. Recording of conversations

[0632] The user speaks to the generative AI model through the device about their own life and values. An example of a prompt sentence is, "I decided to change jobs when I was 30." The device sends this speech to the server in real time. The server records the received speech in a database. At the same time, the generative AI model analyzes the user's speech and generates an appropriate response. This response is sent back to the device via the server, which also records the response.

[0633] 4. Organizing dialogue content and generating a story

[0634] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines. The server then runs a story-generation algorithm based on the organized content, generating a story. For example, if a user talks about "why I decided to change jobs at age 30," this dialogue will be associated with the theme of "changing jobs" and a story titled "A turning point at age 30" will be generated.

[0635] 5. Generating paintings and music

[0636] The server generates paintings and music based on the generated story. It analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[0637] 6. Checking and editing the generated output

[0638] The user can view the generated story, paintings, and music through their device and edit them as needed. For example, they can read the generated "Turning Point at Age 30" story, or listen to the paintings and music. The edited content is then sent back to the server, which stores it in a database.

[0639] 7. Publication of the Produced Product

[0640] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. This allows users to share their stories and values ​​with others.

[0641] The above is a concrete example of the process by which users can effectively express their own lives and values ​​and share them with others. The system is designed to be easy to use even for users who are not good at expressing themselves.

[0642] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0643] Step 1: User enters credentials

[0644] The user accesses the login screen of the device and enters authentication information such as a user ID and password. This input data is the user's authentication information (user ID and password).

[0645] Step 2: Send authentication information to the server

[0646] The terminal sends the entered authentication information to the server using the HTTPS protocol. The input is the user's authentication information, and the output is the data sent to the server.

[0647] Step 3: Verify credentials

[0648] The server checks the received authentication information against a database, running a SQL query to verify the authentication information against the database to see if it matches the authentication information in the database. The input is the authentication information sent to the server, and the output is the authentication result (success or failure).

[0649] Step 4: Return authentication results to the user

[0650] The server generates an authentication result, and if successful, a session token. The session token is a temporary identifier to maintain the authenticated session. The authentication result (session token or error message) is returned to the terminal. The input is the authentication result, and the output is the data returned to the user.

[0651] Step 5: Send an initiating request

[0652] After the user successfully logs in, he clicks the "Start Interaction" button. The terminal sends a request to the server to start an interactive session. The input is the user's interaction start operation, and the output is the request data sent to the server.

[0653] Step 6: Generate an interactive session ID

[0654] The server generates a new session ID and associates it with the user's interaction log. The session ID is a unique identifier for the interaction and is managed within the server. An appropriate algorithm for session ID generation is used. The input is the request to start the interaction session, and the output is the generated session ID.

[0655] Step 7: Receive and record user comments

[0656] The user uses a device to make statements to the generative AI model. For example, they might say, "I decided to change jobs when I was 30 years old." The device then sends this statement to the server in real time. The input is the user's spoken text, and the output is the data sent to the server.

[0657] Step 8: Record what was said in the database

[0658] The server records the received speech content in a database. The speech content is saved in the database along with the session ID. The input is the received speech content, and the output is the data saved in the database.

[0659] Step 9: Generate an AI response

[0660] Conversational generative AI analyzes what users say and generates appropriate responses. It analyzes what users say based on an algorithm and generates the optimal response. The input is the user's spoken text, and the output is the generated response text.

[0661] Step 10: Send the response back to the user and record it

[0662] The server sends the generated AI response back to the terminal and simultaneously records it in a database. The response text is saved in the database with the same session ID as the speech content. The input is the generated response text, and the output is the data sent back to the user and saved in the database.

[0663] Step 11: Organize the dialogue and generate a story

[0664] The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. It then runs a story generation algorithm based on the organized content to generate a story. The input is the dialogue log data, and the output is the generated story.

[0665] Step 12: Generate art and music

[0666] The server analyzes the generated story and extracts visual and musical elements from it. Based on these elements, the server runs algorithms for generating paintings and music. The input is the generated story, and the output is painting data and music data.

[0667] Step 13: Display the result to the user and accept edits

[0668] The user can review the generated story, painting, and music through their device and edit them as needed. For example, they can read the generated story "A Turning Point at Age 30" and make edits. The edits are then sent back to the server. The input is the review of the generated story and the edits, and the output is the transmission of the edited data.

[0669] Step 14: Save and publish your edited product

[0670] The server saves the edited product in a database and makes it public when the user presses the "Publish" button. The product is saved in the public database and made accessible. The input is the edited product, and the output is the published product data.

[0671] The above are the specific processing steps of this system.

[0672] (Application example 1)

[0673] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0674] In recent years, advances in interactive generative AI technology have made it easier for users to embody their own lives and values ​​as stories, paintings, and music. However, there is a need for ways to provide users with richer experiences. In particular, sharing with other users using video and virtual reality (VR) is expected to further deepen the sharing of self-expression and foster empathy with others. The objective of this invention is to provide a system that allows users to embody content generated by interactive generative AI in a virtual space and share and experience it with other users.

[0675] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0676] In this invention, the server includes means for recording the content of the conversations and organizing the content of the conversations based on themes and timelines, means for generating a story based on the organized content, means for generating and displaying a virtual space based on the generated story, and means for allowing other users to share and experience the virtual space. This not only allows users to embody the content of their conversations as a virtual space, but also allows them to share that virtual space with other users, creating deeper emotions and empathy.

[0677] "Terminal" means a device that allows a user to send input information and receive and display generated content.

[0678] "Authentication information" refers to information such as user ID and password used by a user to access a system.

[0679] A "server" is a central processing unit that provides functions such as data storage and management, authentication, recording and analysis of conversation content, and content generation and publication.

[0680] A "database" is a system for systematically storing and managing various data such as authentication information, conversation details, and generated content.

[0681] "Interactive generative AI" is an artificial intelligence system that analyzes what users say and generates appropriate responses and content.

[0682] "Dialogue content" refers to the content of text, audio information, and other information exchanged between the user and the dialogue generation AI.

[0683] "Themes and timelines" are themes and chronological information used to organize the content of the dialogue.

[0684] "Story" is a storytelling-style text content generated based on the user's dialogue.

[0685] "Art and Music" refers to content that includes visual or musical elements based on a generated story.

[0686] A "virtual space" is a virtual environment that users can visually experience, constructed based on generated stories and dialogue content.

[0687] "Sharing" means viewing and experiencing the generated virtual space and content together with other users.

[0688] To implement this invention, the user first enters authentication information on the terminal and sends it to the server. The server then verifies this authentication information against a database. If authentication is successful, the user can begin a dialogue with the interactive generation AI. An interactive session begins by clicking the dialogue start button on the terminal. The server generates a new session ID and associates it with the user's dialogue log.

[0689] During the dialogue, the user speaks about their own life and values ​​and receives responses from the interactive generation AI. The user's comments and the AI's responses are recorded in real time on the server, and the content of the dialogue is organized. The server organizes the dialogue based on themes and timelines, and generates a story based on this organized content. The generated story is further analyzed to extract visual and musical elements for generating paintings and music. The server then uses appropriate algorithms to generate paintings and music based on these elements.

[0690] Next, a virtual space is constructed and displayed based on the generated story. The server uses software such as Unity VR API to recreate the scenes and emotions contained in the story within the VR space. This allows users to visually experience the generated virtual space through a dedicated device (smartphone or head-mounted display). Other users can also share and experience this virtual space.

[0691] The generated stories, pictures, music, and virtual spaces are displayed to the user through their device, and the user can edit them. The edited content is sent back to the server, which stores it in a database. When the user presses the publish button, the created content is saved in a public database and becomes viewable by other users.

[0692] The main hardware used includes the user's device (smartphone or head-mounted display), the server, and the device for generating and displaying the virtual space. The main software used includes Flask (for server-side processing), OpenAI API (for interactive generative AI), and Unity VR API (for generating the virtual space).

[0693] For example, if a user talks to a conversation generation AI about "why I decided to change jobs at age 30," the conversation content is recorded as a conversation log, and a story and virtual space are generated based on that. The following is an example of a prompt sentence:

[0694] Prompt statement:

[0695] We will talk about "Why I decided to change jobs at age 30." We will ask the AI ​​about the reason for changing jobs and dig deeper depending on the answer.

[0696] Based on this prompt, what the user says is analyzed by AI and then embodied as a story or virtual space. Users can share this virtual space with other users, deepening empathy and emotion.

[0697] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0698] Step 1: The user uses a terminal to access the login screen and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server authenticates the received authentication information by checking it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. The input is the user's authentication information, and the output is the session token. Data processing involves checking the authentication information.

[0699] Step 2: After the user receives the session token, they click the "Start Interaction" button on their device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log. The input is the request to start the interaction, and the output is the session ID. The data operation is the generation of the session ID.

[0700] Step 3: The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to the server, which records it in a database. The interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server. The input is the user's speech, and the output is the interactive generation AI's response. Data processing involves recording the speech and generating a response.

[0701] Step 4: The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. A story generation algorithm is run based on this organized content to generate a story. The input is the dialogue session log, and the output is the generated story. Data processing involves organizing the dialogue content and generating a story.

[0702] Step 5: The server analyzes the generated story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. The input is the generated story, and the output is paintings or music. Data processing involves extracting visual and musical elements and generating content.

[0703] Step 6: The terminal displays the generated story, painting, or music to the user, who can then edit it. The edited content is sent back to the server, which stores it in a database. The input is the generated content, and the output is the edited content. Data processing involves displaying the content and saving the edited content.

[0704] Step 7: The server generates a virtual space based on the edited content. Specifically, it uses the Unity VR API or similar to recreate the scenes and emotions contained in the story within the VR space. The input is the edited content, and the output is a scene in the virtual space. Data processing is the generation of the virtual space.

[0705] Step 8: After the virtual space is generated, the device displays it to the user and makes it available for sharing with other users. Users who share the space can also experience the same virtual space. The input is a virtual space scene, and the output is a VR space that users can experience. Data processing is data management for sharing.

[0706] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0707] The system aims to allow users to express their own lives and values ​​using interactive generative AI, then embody and publish them as stories, paintings, or music. It also incorporates an emotion engine that recognizes the user's emotions to enhance the user experience. Below, we will explain each element of the system and its functions in detail.

[0708] 1. User login

[0709] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[0710] 2. Start a dialogue with AI

[0711] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[0712] 3. Emotion recognition by emotion engine and recording of conversation content

[0713] The user speaks to the interactive generation AI through their device. At this time, the emotion engine recognizes emotions from the user's speech and input. The user's speech and emotional information are sent to the server in real time, and the server records the content in a database.

[0714] The server uses a conversational generation AI to analyze the user's comments and generate an appropriate response based on the recognized emotional information. The generated response is sent back to the device and simultaneously recorded in a database. The device then displays the AI's response to the user.

[0715] 4. Organizing dialogue content and generating a story

[0716] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information.The server then runs a story-generation algorithm based on the organized content to generate a story.

[0717] As a concrete example, consider a case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30," and the emotion engine recognizes the user's feelings such as anxiety and expectation. This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[0718] 5. Generating paintings and music

[0719] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements, as well as recognized emotional elements. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[0720] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions (anxiety and anticipation) in the story will be generated.

[0721] 6. Checking and editing the generated output

[0722] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[0723] 7. Publication of the Produced Product

[0724] When a user presses the "Publish" button, a request to publish the creation is sent to the server. The server stores the creation in a public database and makes it available to all users. In this way, users can share their creations that reflect their own stories, values, and emotions with others.

[0725] This system provides an effective means for users who are not good at expressing themselves to easily express their lives and values ​​and share them with others. In addition, by combining it with an emotion engine, it can generate more personal content that reflects the user's emotions, improving the user experience.

[0726] The processing flow will be explained below.

[0727] Specific program processing flow (including emotion engine)

[0728] 1. User login

[0729] Step 1:

[0730] The device displays a login screen to the user, and the user enters their user ID and password.

[0731] Step 2:

[0732] The terminal transmits the entered authentication information to the server.

[0733] Step 3:

[0734] The server authenticates the received authentication information by checking it against a database.

[0735] Step 4:

[0736] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[0737] 2. Start a dialogue with AI

[0738] Step 1:

[0739] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[0740] Step 2:

[0741] The terminal sends an interactive session initiation request to the server.

[0742] Step 3:

[0743] The server generates a new session ID and associates it with the interaction log.

[0744] Step 4:

[0745] The server returns a session ID to the terminal and an interactive session begins.

[0746] 3. Emotion recognition by emotion engine and recording of conversation content

[0747] Step 1:

[0748] The user speaks to the interactive generation AI through the device.

[0749] Step 2:

[0750] The device sends the user's comments and the results of the emotion engine's analysis to the server.

[0751] Step 3:

[0752] The server records the content of the speech and emotional information in a database.

[0753] Step 4:

[0754] The server uses interactive generation AI to analyze what the user says and generate an appropriate response that reflects emotional information.

[0755] Step 5:

[0756] The server sends the AI's response back to the terminal and records it in a database.

[0757] Step 6:

[0758] The device displays the AI's response to the user.

[0759] 4. Organizing dialogue content and generating a story

[0760] Step 1:

[0761] The server retrieves the complete log of the interactive session from the database.

[0762] Step 2:

[0763] The server organizes the conversation logs based on themes and timelines, taking into account emotional information.

[0764] Step 3:

[0765] The server runs an algorithm that generates a story based on the organized content.

[0766] Step 4:

[0767] The server stores the generated stories in a database.

[0768] 5. Generating paintings and music

[0769] Step 1:

[0770] The server analyzes the generated narrative and extracts visual, musical, and perceived emotional elements.

[0771] Step 2:

[0772] The server runs an algorithm to generate a painting based on the extracted elements.

[0773] Step 3:

[0774] The server runs an algorithm to generate music based on the extracted elements.

[0775] Step 4:

[0776] The server stores the generated paintings and music in a database.

[0777] 6. Checking and editing the generated output

[0778] Step 1:

[0779] The device displays the generated stories, paintings, and music to the user.

[0780] Step 2:

[0781] The user checks the displayed output and edits it if necessary.

[0782] Step 3:

[0783] The device sends the edited content to the server.

[0784] Step 4:

[0785] The server stores the received edits in a database and finalizes them as the final product.

[0786] 7. Publication of the Produced Product

[0787] Step 1:

[0788] The user clicks the "Publish" button on the device to send a publishing request to the server.

[0789] Step 2:

[0790] The server receives the publication request and stores the results in a publication database.

[0791] Step 3:

[0792] The server makes the output available to all users.

[0793] Example 2

[0794] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0795] In modern society, it is important for users to express their lives and values ​​and share them with others. However, for users who are not good at self-expression, creative activities such as storytelling, painting, and music are difficult. Furthermore, it is difficult to generate content that appropriately reflects emotions, and a generation method that takes emotions into account is needed to improve the user experience.

[0796] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for authenticating a user by comparing the authentication information of the user with a database, a means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, a means for generating a story based on the organized content, and a means including an emotion engine for recognizing emotions from the content of the user's utterances. This allows a user to express their own life and values ​​using an interactive generation AI, and then embody and publish them as a story, painting, or music.

[0797] A "terminal" is an electronic device operated by a user, including a personal computer, smartphone, tablet, etc.

[0798] A "user" is an individual who uses this system, inputs authentication information via a terminal, and interacts with the interactive generative AI.

[0799] "Authentication Information" means the information a User enters to verify his / her identity, including User ID and password.

[0800] A "server" is a central computer that manages and controls the entire system, and performs various data processing, response generation, database management, etc.

[0801] A "database" is a collection of data accessed by the server, and stores user information, dialogue logs, generated stories, paintings, music, and so on.

[0802] "Interactive generative AI" refers to artificial intelligence technology that analyzes user statements and generates appropriate responses, and includes models that use natural language processing technology.

[0803] The "emotion engine" is a mechanism that recognizes emotions from the content of a user's statements, analyzes the user's emotional state, and processes it as data.

[0804] "Story" refers to a text-based creative work generated based on the user's dialogue and emotional information.

[0805] "Painting" refers to a work of art containing a visual representation generated by the server based on a story.

[0806] "Music" refers to artwork containing auditory expressions generated by the server based on narrative and recognized emotional information.

[0807] "Editing" refers to the act of a user making corrections or changes to a generated story, painting, or music.

[0808] "Publishing" refers to the act of a user making a product available for other users to view, and includes the server storing the product in a public database.

[0809] "Products" refers to all creative works such as stories, paintings, and music that are generated through this system.

[0810] This invention is a system that allows users to express their own lives and values, embody them as stories, paintings, or music, and share them with others. This system utilizes interactive generation AI and an emotion engine to generate content that reflects the user's emotions, improving the user experience.

[0811] System Overview

[0812] The system consists of a terminal operated by the user, a server that processes and stores data, and a database that manages the recorded data. Specifically, it includes the following components:

[0813] Devices: Electronic devices such as computers, smartphones, and tablets

[0814] Server: A central computer that processes data and generates responses

[0815] Database: A data collection that stores user information, interaction logs, and generated content.

[0816] User login

[0817] The user accesses the login screen on their device and enters their user ID and password. The device then sends the encrypted authentication information to the server. The server compares the received authentication information with a database, and if authentication is successful, generates a session token and sends it back to the device. This token is used to manage subsequent sessions.

[0818] Start a dialogue

[0819] After the user successfully logs in, they click the "Start Interaction" button. The device sends a start interaction request to the server, which generates a new session ID and associates it with the user's account. This session ID is then associated with the interaction log.

[0820] Emotion recognition and dialogue recording

[0821] The user speaks to the interactive generative AI and sends the content to the server in real time. The server's emotion engine recognizes emotions from the content of the speech and records them in a database. The server uses a generative AI model (e.g., GPT-3) to generate an appropriate response and sends it back to the device. The device then displays the generated response to the user.

[0822] Organizing dialogue content and generating stories

[0823] Once the interactive session is over, the server retrieves all logs from the database, organizes them based on themes and timelines, and runs a story generation algorithm (e.g., a story titled "The Turning Point at Age 30" is generated).

[0824] Painting and music generation

[0825] Based on the story, the server extracts visual and musical elements and generates paintings and music using deep learning algorithms. The generated content also reflects emotional information.

[0826] Checking and editing the generated output

[0827] The user can review the stories, paintings, and music created through the device and edit them as needed, and the device sends the edited content to the server, which stores it in a database.

[0828] Publication of the product

[0829] When a user presses the "Publish" button, the device sends a publication request to the server, which then stores the result in a public database and makes it available to all users.

[0830] Specific examples

[0831] A specific example is a prompt sentence such as, "I decided to change jobs at the age of 30. The reason was that I wanted opportunities for growth." Based on this prompt, the emotion engine recognizes emotions such as "anxiety" and "expectation," and the generative AI generates a story based on that content. Furthermore, paintings and music are generated based on this story, which users can view, edit, and publish.

[0832] (Example of a prompt)

[0833] "I had a really hard time at my first job after graduating from college, and I want to talk about that experience."

[0834] "I lost a loved one last year. Tell me about how I overcame that grief."

[0835] In this way, users input their own experiences and emotions into the system, which then uses interactive generative AI and emotion engine technology to generate individually personalized stories and works of art.

[0836] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0837] Step 1:

[0838] The user accesses the login screen and enters their authentication information.

[0839] The user opens the login screen on their device and enters their user ID and password. The entered authentication information is encrypted and sent from the device to the server.

[0840] Input: User ID and password

[0841] Output: Encrypted credentials

[0842] Step 2:

[0843] The server receives the authentication information and authenticates it against a database.

[0844] The server receives the encrypted authentication information sent from the device and compares it with the user information stored in the database. If authentication is successful, it generates a session token and returns it to the device.

[0845] Input: Encrypted credentials

[0846] Output: Session token

[0847] Step 3:

[0848] The user clicks the "Start conversation" button to send a request to start a conversation.

[0849] After being authenticated, the user clicks the "Start conversation" button on the device. When this click event occurs, the device sends a conversation start request to the server. The request also includes the session token.

[0850] Input: "Start Interaction" button click event, session token

[0851] Output: Initiating request

[0852] Step 4:

[0853] The server generates a new session ID and associates it with the interaction log.

[0854] When the server receives a conversation initiation request, it generates a new session ID, which is associated with the user's conversation log and sent back to the device.

[0855] Input: Dialogue-initiating request

[0856] Output: Session ID

[0857] Step 5:

[0858] The user speaks to the interactive generation AI, and the spoken content is sent from the device to the server.

[0859] Users speak to the interactive generation AI, and the content is sent to the server in real time via their device.

[0860] Input: What the user says

[0861] Output: Speech content data

[0862] Step 6:

[0863] The server uses an emotion engine to recognize emotions from the content of the speech.

[0864] The server passes the received comments to the emotion engine, which analyzes the user's emotions. For example, if a comment says, "I'm worried about changing jobs," it recognizes emotions such as anxiety and expectation.

[0865] Input: Speech content data

[0866] Output: Emotional information

[0867] Step 7:

[0868] The server records the content of the speech and emotional information in a database.

[0869] The emotion information recognized by the emotion engine and the content of the utterance are stored in a database by the server.

[0870] Input: Speech content data, emotional information

[0871] Output: Records in the database

[0872] Step 8:

[0873] The server uses a generative AI model to generate an appropriate response.

[0874] The server uses interactive generative AI (generative AI model) to generate appropriate responses based on the user's statements and emotional information.

[0875] Input: Speech content data, emotional information

[0876] Output: The generated response

[0877] Step 9:

[0878] The terminal displays the generated response to the user.

[0879] The server generates a response and sends it to the terminal, which displays it to the user.

[0880] Input: Generated response

[0881] Output: What is displayed to the user

[0882] Step 10:

[0883] The server obtains the user's dialogue and generates a story.

[0884] After the dialogue log is completed, the server retrieves all logs from the database, organizes them based on themes and timelines, and then runs a story generation algorithm based on the organized content.

[0885] Input: All conversation logs

[0886] Output: The generated story

[0887] Step 11:

[0888] The server generates paintings and music from the story.

[0889] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music.

[0890] Input: Generated story

[0891] Output: Generated paintings, music

[0892] Step 12:

[0893] User-generated stories, paintings, and music can be viewed and edited.

[0894] Users can view the generated content through their devices and edit it as needed.

[0895] Input: Generated stories, paintings, music

[0896] Output:Edit

[0897] Step 13:

[0898] The server stores and publishes the edited products.

[0899] The user's edits are sent back to the server, which saves them in a database. When the user clicks the publish button, the results are saved in a public database, where they can be viewed by all users.

[0900] Input: Edits, publishing requests

[0901] Output: Published artifacts

[0902] (Application example 2)

[0903] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0904] In recent years, many users desire self-expression, but many find it difficult to communicate their lives and values ​​to others. Furthermore, conventional methods have difficulty generating entertainment content that reflects human emotions. Existing tools and applications make it difficult to easily generate personalized stories, paintings, and music that incorporate users' emotions and share them with others.

[0905] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0906] In this invention, the server includes a means for recognizing a user's emotions using an emotion recognition engine and reflecting them in the dialogue, a means for an interactive generation AI to analyze the user's utterances and generate an appropriate response, and a means for generating pictures and music based on the generated story. This makes it possible to easily generate stories, visuals, and music that reflect the user's emotions and share them as personal and moving content.

[0907] A "terminal" is an electronic device that allows a user to input and confirm information.

[0908] A "user" is someone who uses the system to enter authentication information and express their own life and values.

[0909] "Authentication information" refers to information such as the user ID and password used by a user to log in to a system.

[0910] A "server" is a central computer system that receives authentication information from users, collates it with a database to perform authentication, and performs other processing.

[0911] A "database" is a system for structuring, storing, and managing information such as user information, dialogue logs, and generated results.

[0912] "Interactive generative AI" is an artificial intelligence system that analyzes what a user says through dialogue with them and generates an appropriate response.

[0913] An "emotion recognition engine" is a system that recognizes emotions from the content of a user's statements and input.

[0914] A "story" is text content generated based on the dialogue between the user and the interactive generation AI.

[0915] "Paintings" are visual content generated by an algorithm based on the content and emotions of a generated story.

[0916] "Music" is an auditory content generated by an algorithm based on the content and emotions of the generated story.

[0917] "Editing" refers to a user making changes or modifications to a generated story, painting, or piece of music.

[0918] "Publishing" means making the generated story, painting, or music available to other users and the public.

[0919] This invention is a system that allows users to express their own lives and values ​​using an interactive generation AI and an emotion recognition engine, and then embody and publish them as stories, paintings, and music. This system includes the following elements, and specific embodiments will be described below.

[0920] 1. User login

[0921] The user enters authentication information (user ID and password) on the terminal. The terminal sends this authentication information to the server, which then verifies it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. This procedure authenticates the user.

[0922] 2. Start a dialogue with AI

[0923] After a user successfully logs in, an interactive session begins by clicking the "Start Interaction" button on the terminal. The server generates a new session ID and associates it with the interaction log, thereby recording the interaction.

[0924] 3. Emotion Recognition by Emotion Engine

[0925] The user's comments are sent to the dialogue generation AI, and at the same time, the emotion recognition engine analyzes the user's emotions in real time. The user's comments and the recognized emotional information are sent to the server and recorded in a database. For example, if a user says, "I decided to change jobs when I was 30 years old," the system recognizes the emotion at that time and reflects it in the dialogue.

[0926] 4. Organizing the content of the dialogue

[0927] The server organizes all conversation logs based on themes and timelines, taking emotional information into consideration. Based on the organized content, an algorithm is run to generate a story, such as "A turning point at age 30."

[0928] 5. Generating paintings and music

[0929] Based on the generated story, the server automatically generates art and music. Visual and musical elements that reflect the scenery and emotions of the story are extracted, and the corresponding algorithms are executed.

[0930] 6. Checking and editing the generated output

[0931] The user can view the generated story, painting, and music on their device and edit them as needed. Once the user confirms the edits, the data is sent back to the server and saved in the database.

[0932] 7. Publication of the Produced Product

[0933] When a user presses the "Publish" button, the resulting work is saved in a public database and becomes available for all users to view, allowing users to share their own expressions with others.

[0934] The implementation of this system utilizes the following hardware and software:

[0935] Server: Authentication processing, database operations, execution of generative AI models

[0936] Terminal: User input, interactive display, editing operations

[0937] Emotion Recognition Engine: Emotion recognition and analysis

[0938] Dialogue-based generative AI: Analysis of speech content and response generation

[0939] Example: Prompt sentence example

[0940] "I decided to change jobs when I was 30. At the time, I felt both anxious and excited."

[0941] By inputting this prompt, the system can analyze the user's emotions and dialogue and generate appropriate stories, paintings, and music.

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

[0943] Step 1:

[0944] The user accesses the login screen using a terminal and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server compares the received authentication information with a database and performs authentication. If authentication is successful, the server generates a session token and sends it back to the terminal.

[0945] Input: User ID, Password

[0946] Output: Session token (if authentication is successful)

[0947] Step 2:

[0948] After successfully logging in, the user clicks the "Start Interaction" button on the device. The device sends a request to the server to start an interaction session. The server generates a new session ID and associates it with the interaction log.

[0949] Input: Session token

[0950] Output: Session ID

[0951] Step 3:

[0952] When a user speaks to the interactive generation AI on their device, the emotion recognition engine analyzes the user's speech in real time and recognizes their emotions. The speech content and the recognized emotional information are sent to the server and recorded in a database. The server then uses the interactive generation AI to analyze the speech content, generate an appropriate response, and send that response back to the device.

[0953] Input: User comment

[0954] Output: AI response, emotional information

[0955] Step 4:

[0956] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information. It then runs a story-generation algorithm based on the organized content, which generates a story.

[0957] Input: Dialogue log (contents of speech, emotional information)

[0958] Output: The generated story

[0959] Step 5:

[0960] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music that reflect the scenes and emotions of the story.

[0961] Input: Generated story

[0962] Output: Generated paintings, music

[0963] Step 6:

[0964] The user can review the stories, paintings, and music they have created through their device and make edits as needed. Once the edits are confirmed, the device sends them to the server, which then stores the edited results in a database.

[0965] Input: Editing content (story, painting, music)

[0966] Output: Saved edits

[0967] Step 7:

[0968] When a user presses the "Publish" button, a request to publish the product is sent to the server, which then stores the product in a public database and makes it available to all users.

[0969] Input: Publishing request

[0970] Output: Published artifacts

[0971] As described above, at each step, data processing and calculations are performed based on the input data to generate appropriate output, enabling users to create and share stories, paintings, and music that express their own lives and values.

[0972] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0973] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0974] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0975] [Third embodiment]

[0976] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0977] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0978] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0979] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0980] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0981] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0982] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0983] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0984] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0985] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0986] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0987] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0988] The purpose of this system is to allow users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. Below, we will explain each element of this system and its functions in detail.

[0989] 1. User login

[0990] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[0991] 2. Start a dialogue with AI

[0992] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[0993] 3. Recording of conversations

[0994] The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to a server, which records it in a database. Meanwhile, the interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server.

[0995] 4. Organizing dialogue content and generating a story

[0996] The server retrieves all logs of the dialogue session from the database, organizes the dialogue content based on themes and timelines, and then runs a story-generation algorithm based on this organized content to generate a story.

[0997] As a concrete example, consider the case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30." This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[0998] 5. Generating paintings and music

[0999] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[1000] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[1001] 6. Checking and editing the generated output

[1002] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[1003] 7. Publication of the Produced Product

[1004] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. In this way, users can share their stories and values ​​with others.

[1005] This system provides an effective means for users who are not good at self-expression to easily express their lives and values ​​and share them with others.

[1006] The processing flow will be explained below.

[1007] Specific program processing flow

[1008] 1. User login

[1009] Step 1:

[1010] The device displays a login screen to the user, and the user enters their user ID and password.

[1011] Step 2:

[1012] The terminal transmits the entered authentication information to the server.

[1013] Step 3:

[1014] The server authenticates the received authentication information by checking it against a database.

[1015] Step 4:

[1016] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[1017] 2. Start a dialogue with AI

[1018] Step 1:

[1019] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[1020] Step 2:

[1021] The terminal sends an interactive session initiation request to the server.

[1022] Step 3:

[1023] The server generates a new session ID and associates it with the interaction log.

[1024] Step 4:

[1025] The server returns a session ID to the terminal and an interactive session begins.

[1026] 3. Recording of conversations

[1027] Step 1:

[1028] The user speaks to the interactive generation AI through the device.

[1029] Step 2:

[1030] The device sends the user's speech to the server.

[1031] Step 3:

[1032] The server records the speech in a database.

[1033] Step 4:

[1034] The server uses interactive generation AI to analyze what the user says and generate an appropriate response.

[1035] Step 5:

[1036] The server sends the AI's response back to the terminal and records it in a database.

[1037] Step 6:

[1038] The device displays the AI's response to the user.

[1039] 4. Organizing dialogue content and generating a story

[1040] Step 1:

[1041] The server retrieves the complete log of the interactive session from the database.

[1042] Step 2:

[1043] The conversation logs acquired by the server are organized based on themes and timelines.

[1044] Step 3:

[1045] The server runs an algorithm that generates a story based on the organized content.

[1046] Step 4:

[1047] The server stores the generated stories in a database.

[1048] 5. Generating paintings and music

[1049] Step 1:

[1050] The server analyzes the generated story and extracts visual and musical elements.

[1051] Step 2:

[1052] The server runs an algorithm to generate a painting based on the extracted elements.

[1053] Step 3:

[1054] The server runs an algorithm to generate music based on the extracted elements.

[1055] Step 4:

[1056] The server stores the generated paintings and music in a database.

[1057] 6. Checking and editing the generated output

[1058] Step 1:

[1059] The device displays the generated stories, paintings, and music to the user.

[1060] Step 2:

[1061] The user checks the displayed output and edits it if necessary.

[1062] Step 3:

[1063] The device sends the edited content to the server.

[1064] Step 4:

[1065] The server stores the received edits in a database and finalizes them as the final product.

[1066] 7. Publication of the Produced Product

[1067] Step 1:

[1068] The user clicks the "Publish" button on the device to send a publishing request to the server.

[1069] Step 2:

[1070] The server receives the publication request and stores the results in a publication database.

[1071] Step 3:

[1072] The server makes the output available to all users.

[1073] Example 1

[1074] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1075] Even users who are not good at self-expression have difficulty effectively expressing their lives and values ​​and sharing them with others. Another issue with conventional systems is that the process of recording user comments in real time, organizing the conversations into a story, and then generating paintings or music based on that is extremely complicated and requires a lot of effort from the user.

[1076] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1077] In this invention, the server includes means for authenticating a user by comparing their authentication information with a database, means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, means for generating a story based on the organized content, means for the server to generate paintings or music based on the generated story, means for transmitting and recording in real time what the user says to the dialogue generation AI, means for the dialogue generation AI to analyze the content of the user's speech and generate an appropriate response and return it to the terminal, and means for the terminal or server to generate a session ID based on the content of the user's speech and response and store the session ID in a database. This allows users to easily express and record their lives and values, and to embody and share that content as a story, painting, or music.

[1078] "Terminal" means a computer system or device operated by a user, including a PC, smartphone, tablet, etc.

[1079] A "server" is a computer system that manages, stores, and processes data, and performs authentication, records dialogue, creates stories, and generates art and music.

[1080] "Authentication information" refers to information such as the user ID and password that a user enters when logging in.

[1081] A "database" is a system that manages and stores structured data, and stores user authentication information, dialogue content, and generated data.

[1082] "Interactive generative AI" is an artificial intelligence model that analyzes what users say and generates appropriate responses, using natural language processing technology.

[1083] "Statement content" refers to the words or sentences that users input into the interactive generation AI.

[1084] A "session ID" is an identifier generated to uniquely identify an interaction session, and is linked to a record of the content of the interaction.

[1085] A "story" is a story generated based on the user's dialogue and is structured around a theme and timeline.

[1086] "Paintings" are images generated based on the visual elements of a story.

[1087] "Music" is a musical composition generated based on the emotions and themes of the story.

[1088] "Products" is a general term for the stories, paintings, and music that are generated.

[1089] "Publishing" means making the creation available for other users to view.

[1090] This invention is a system that allows users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. This system is realized using the following main hardware and software:

[1091] 1. Hardware

[1092] Terminal: A computer system or device operated by a user (PC, smartphone, tablet).

[1093] Server: A computer system that manages, stores, and processes data.

[1094] 2. Software

[1095] Database system: A system that manages and stores structured data (e.g., MySQL)

[1096] Generative AI model: An artificial intelligence that analyzes what a user says and generates an appropriate response (e.g., GPT-4)

[1097] Authentication system: A system that manages and verifies user authentication information

[1098] Conversational interface: an interface for users to interact with conversational generative AI

[1099] Specific Examples

[1100] 1. User login

[1101] The user accesses the login screen using a device and enters authentication information such as a user ID and password. The device then sends this authentication information to the server using the HTTPS protocol. The server compares the received authentication information with a database for authentication, and if successful, generates a session token and sends it back to the device.

[1102] 2. Starting an interactive session

[1103] After successfully logging in, the user clicks the "Start Interaction" button to start an interactive session. The device sends a request to the server to start an interactive session. The server generates a new session ID, associates it with the user's interaction log, and saves the information in the database.

[1104] 3. Recording of conversations

[1105] The user speaks to the generative AI model through the device about their own life and values. An example of a prompt sentence is, "I decided to change jobs when I was 30." The device sends this speech to the server in real time. The server records the received speech in a database. At the same time, the generative AI model analyzes the user's speech and generates an appropriate response. This response is sent back to the device via the server, which also records the response.

[1106] 4. Organizing dialogue content and generating a story

[1107] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines. The server then runs a story-generation algorithm based on the organized content, generating a story. For example, if a user talks about "why I decided to change jobs at age 30," this dialogue will be associated with the theme of "changing jobs" and a story titled "A turning point at age 30" will be generated.

[1108] 5. Generating paintings and music

[1109] The server generates paintings and music based on the generated story. It analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[1110] 6. Checking and editing the generated output

[1111] The user can view the generated story, paintings, and music through their device and edit them as needed. For example, they can read the generated "Turning Point at Age 30" story, or listen to the paintings and music. The edited content is then sent back to the server, which stores it in a database.

[1112] 7. Publication of the Produced Product

[1113] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. This allows users to share their stories and values ​​with others.

[1114] The above is a concrete example of the process by which users can effectively express their own lives and values ​​and share them with others. The system is designed to be easy to use even for users who are not good at expressing themselves.

[1115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1116] Step 1: User enters credentials

[1117] The user accesses the login screen of the device and enters authentication information such as a user ID and password. This input data is the user's authentication information (user ID and password).

[1118] Step 2: Send authentication information to the server

[1119] The terminal sends the entered authentication information to the server using the HTTPS protocol. The input is the user's authentication information, and the output is the data sent to the server.

[1120] Step 3: Verify credentials

[1121] The server checks the received authentication information against a database, running a SQL query to verify the authentication information against the database to see if it matches the authentication information in the database. The input is the authentication information sent to the server, and the output is the authentication result (success or failure).

[1122] Step 4: Return authentication results to the user

[1123] The server generates an authentication result, and if successful, a session token. The session token is a temporary identifier to maintain the authenticated session. The authentication result (session token or error message) is returned to the terminal. The input is the authentication result, and the output is the data returned to the user.

[1124] Step 5: Send an initiating request

[1125] After the user successfully logs in, he clicks the "Start Interaction" button. The terminal sends a request to the server to start an interactive session. The input is the user's interaction start operation, and the output is the request data sent to the server.

[1126] Step 6: Generate an interactive session ID

[1127] The server generates a new session ID and associates it with the user's interaction log. The session ID is a unique identifier for the interaction and is managed within the server. An appropriate algorithm for session ID generation is used. The input is the request to start the interaction session, and the output is the generated session ID.

[1128] Step 7: Receive and record user comments

[1129] The user uses a device to make statements to the generative AI model. For example, they might say, "I decided to change jobs when I was 30 years old." The device then sends this statement to the server in real time. The input is the user's spoken text, and the output is the data sent to the server.

[1130] Step 8: Record what was said in the database

[1131] The server records the received speech content in a database. The speech content is saved in the database along with the session ID. The input is the received speech content, and the output is the data saved in the database.

[1132] Step 9: Generate an AI response

[1133] Conversational generative AI analyzes what users say and generates appropriate responses. It analyzes what users say based on an algorithm and generates the optimal response. The input is the user's spoken text, and the output is the generated response text.

[1134] Step 10: Send the response back to the user and record it

[1135] The server sends the generated AI response back to the terminal and simultaneously records it in a database. The response text is saved in the database with the same session ID as the speech content. The input is the generated response text, and the output is the data sent back to the user and saved in the database.

[1136] Step 11: Organize the dialogue and generate a story

[1137] The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. It then runs a story generation algorithm based on the organized content to generate a story. The input is the dialogue log data, and the output is the generated story.

[1138] Step 12: Generate art and music

[1139] The server analyzes the generated story and extracts visual and musical elements from it. Based on these elements, the server runs algorithms for generating paintings and music. The input is the generated story, and the output is painting data and music data.

[1140] Step 13: Display the result to the user and accept edits

[1141] The user can review the generated story, painting, and music through their device and edit them as needed. For example, they can read the generated story "A Turning Point at Age 30" and make edits. The edits are then sent back to the server. The input is the review of the generated story and the edits, and the output is the transmission of the edited data.

[1142] Step 14: Save and publish your edited product

[1143] The server saves the edited product in a database and makes it public when the user presses the "Publish" button. The product is saved in the public database and made accessible. The input is the edited product, and the output is the published product data.

[1144] The above are the specific processing steps of this system.

[1145] (Application example 1)

[1146] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1147] In recent years, advances in interactive generative AI technology have made it easier for users to embody their own lives and values ​​as stories, paintings, and music. However, there is a need for ways to provide users with richer experiences. In particular, sharing with other users using video and virtual reality (VR) is expected to further deepen the sharing of self-expression and foster empathy with others. The objective of this invention is to provide a system that allows users to embody content generated by interactive generative AI in a virtual space and share and experience it with other users.

[1148] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1149] In this invention, the server includes means for recording the content of the conversations and organizing the content of the conversations based on themes and timelines, means for generating a story based on the organized content, means for generating and displaying a virtual space based on the generated story, and means for allowing other users to share and experience the virtual space. This not only allows users to embody the content of their conversations as a virtual space, but also allows them to share that virtual space with other users, creating deeper emotions and empathy.

[1150] "Terminal" means a device that allows a user to send input information and receive and display generated content.

[1151] "Authentication information" refers to information such as user ID and password used by a user to access a system.

[1152] A "server" is a central processing unit that provides functions such as data storage and management, authentication, recording and analysis of conversation content, and content generation and publication.

[1153] A "database" is a system for systematically storing and managing various data such as authentication information, conversation details, and generated content.

[1154] "Interactive generative AI" is an artificial intelligence system that analyzes what users say and generates appropriate responses and content.

[1155] "Dialogue content" refers to the content of text, audio information, and other information exchanged between the user and the dialogue generation AI.

[1156] "Themes and timelines" are themes and chronological information used to organize the content of the dialogue.

[1157] "Story" is a storytelling-style text content generated based on the user's dialogue.

[1158] "Art and Music" refers to content that includes visual or musical elements based on a generated story.

[1159] A "virtual space" is a virtual environment that users can visually experience, constructed based on generated stories and dialogue content.

[1160] "Sharing" means viewing and experiencing the generated virtual space and content together with other users.

[1161] To implement this invention, the user first enters authentication information on the terminal and sends it to the server. The server then verifies this authentication information against a database. If authentication is successful, the user can begin a dialogue with the interactive generation AI. An interactive session begins by clicking the dialogue start button on the terminal. The server generates a new session ID and associates it with the user's dialogue log.

[1162] During the dialogue, the user speaks about their own life and values ​​and receives responses from the interactive generation AI. The user's comments and the AI's responses are recorded in real time on the server, and the content of the dialogue is organized. The server organizes the dialogue based on themes and timelines, and generates a story based on this organized content. The generated story is further analyzed to extract visual and musical elements for generating paintings and music. The server then uses appropriate algorithms to generate paintings and music based on these elements.

[1163] Next, a virtual space is constructed and displayed based on the generated story. The server uses software such as Unity VR API to recreate the scenes and emotions contained in the story within the VR space. This allows users to visually experience the generated virtual space through a dedicated device (smartphone or head-mounted display). Other users can also share and experience this virtual space.

[1164] The generated stories, pictures, music, and virtual spaces are displayed to the user through their device, and the user can edit them. The edited content is sent back to the server, which stores it in a database. When the user presses the publish button, the created content is saved in a public database and becomes viewable by other users.

[1165] The main hardware used includes the user's device (smartphone or head-mounted display), the server, and the device for generating and displaying the virtual space. The main software used includes Flask (for server-side processing), OpenAI API (for interactive generative AI), and Unity VR API (for generating the virtual space).

[1166] For example, if a user talks to a conversation generation AI about "why I decided to change jobs at age 30," the conversation content is recorded as a conversation log, and a story and virtual space are generated based on that. The following is an example of a prompt sentence:

[1167] Prompt statement:

[1168] We will talk about "Why I decided to change jobs at age 30." We will ask the AI ​​about the reason for changing jobs and dig deeper depending on the answer.

[1169] Based on this prompt, what the user says is analyzed by AI and then embodied as a story or virtual space. Users can share this virtual space with other users, deepening empathy and emotion.

[1170] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1171] Step 1: The user uses a terminal to access the login screen and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server authenticates the received authentication information by checking it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. The input is the user's authentication information, and the output is the session token. Data processing involves checking the authentication information.

[1172] Step 2: After the user receives the session token, they click the "Start Interaction" button on their device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log. The input is the request to start the interaction, and the output is the session ID. The data operation is the generation of the session ID.

[1173] Step 3: The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to the server, which records it in a database. The interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server. The input is the user's speech, and the output is the interactive generation AI's response. Data processing involves recording the speech and generating a response.

[1174] Step 4: The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. A story generation algorithm is run based on this organized content to generate a story. The input is the dialogue session log, and the output is the generated story. Data processing involves organizing the dialogue content and generating a story.

[1175] Step 5: The server analyzes the generated story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. The input is the generated story, and the output is paintings or music. Data processing involves extracting visual and musical elements and generating content.

[1176] Step 6: The terminal displays the generated story, painting, or music to the user, who can then edit it. The edited content is sent back to the server, which stores it in a database. The input is the generated content, and the output is the edited content. Data processing involves displaying the content and saving the edited content.

[1177] Step 7: The server generates a virtual space based on the edited content. Specifically, it uses the Unity VR API or similar to recreate the scenes and emotions contained in the story within the VR space. The input is the edited content, and the output is a scene in the virtual space. Data processing is the generation of the virtual space.

[1178] Step 8: After the virtual space is generated, the device displays it to the user and makes it available for sharing with other users. Users who share the space can also experience the same virtual space. The input is a virtual space scene, and the output is a VR space that users can experience. Data processing is data management for sharing.

[1179] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1180] The system aims to allow users to express their own lives and values ​​using interactive generative AI, then embody and publish them as stories, paintings, or music. It also incorporates an emotion engine that recognizes the user's emotions to enhance the user experience. Below, we will explain each element of the system and its functions in detail.

[1181] 1. User login

[1182] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[1183] 2. Start a dialogue with AI

[1184] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[1185] 3. Emotion recognition by emotion engine and recording of conversation content

[1186] The user speaks to the interactive generation AI through their device. At this time, the emotion engine recognizes emotions from the user's speech and input. The user's speech and emotional information are sent to the server in real time, and the server records the content in a database.

[1187] The server uses a conversational generation AI to analyze the user's comments and generate an appropriate response based on the recognized emotional information. The generated response is sent back to the device and simultaneously recorded in a database. The device then displays the AI's response to the user.

[1188] 4. Organizing dialogue content and generating a story

[1189] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information.The server then runs a story-generation algorithm based on the organized content to generate a story.

[1190] As a concrete example, consider a case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30," and the emotion engine recognizes the user's feelings such as anxiety and expectation. This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[1191] 5. Generating paintings and music

[1192] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements, as well as recognized emotional elements. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[1193] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions (anxiety and anticipation) in the story will be generated.

[1194] 6. Checking and editing the generated output

[1195] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[1196] 7. Publication of the Produced Product

[1197] When a user presses the "Publish" button, a request to publish the creation is sent to the server. The server stores the creation in a public database and makes it available to all users. In this way, users can share their creations that reflect their own stories, values, and emotions with others.

[1198] This system provides an effective means for users who are not good at expressing themselves to easily express their lives and values ​​and share them with others. In addition, by combining it with an emotion engine, it can generate more personal content that reflects the user's emotions, improving the user experience.

[1199] The processing flow will be explained below.

[1200] Specific program processing flow (including emotion engine)

[1201] 1. User login

[1202] Step 1:

[1203] The device displays a login screen to the user, and the user enters their user ID and password.

[1204] Step 2:

[1205] The terminal transmits the entered authentication information to the server.

[1206] Step 3:

[1207] The server authenticates the received authentication information by checking it against a database.

[1208] Step 4:

[1209] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[1210] 2. Start a dialogue with AI

[1211] Step 1:

[1212] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[1213] Step 2:

[1214] The terminal sends an interactive session initiation request to the server.

[1215] Step 3:

[1216] The server generates a new session ID and associates it with the interaction log.

[1217] Step 4:

[1218] The server returns a session ID to the terminal and an interactive session begins.

[1219] 3. Emotion recognition by emotion engine and recording of conversation content

[1220] Step 1:

[1221] The user speaks to the interactive generation AI through the device.

[1222] Step 2:

[1223] The device sends the user's comments and the results of the emotion engine's analysis to the server.

[1224] Step 3:

[1225] The server records the content of the speech and emotional information in a database.

[1226] Step 4:

[1227] The server uses interactive generation AI to analyze what the user says and generate an appropriate response that reflects emotional information.

[1228] Step 5:

[1229] The server sends the AI's response back to the terminal and records it in a database.

[1230] Step 6:

[1231] The device displays the AI's response to the user.

[1232] 4. Organizing dialogue content and generating a story

[1233] Step 1:

[1234] The server retrieves the complete log of the interactive session from the database.

[1235] Step 2:

[1236] The server organizes the conversation logs based on themes and timelines, taking into account emotional information.

[1237] Step 3:

[1238] The server runs an algorithm that generates a story based on the organized content.

[1239] Step 4:

[1240] The server stores the generated stories in a database.

[1241] 5. Generating paintings and music

[1242] Step 1:

[1243] The server analyzes the generated narrative and extracts visual, musical, and perceived emotional elements.

[1244] Step 2:

[1245] The server runs an algorithm to generate a painting based on the extracted elements.

[1246] Step 3:

[1247] The server runs an algorithm to generate music based on the extracted elements.

[1248] Step 4:

[1249] The server stores the generated paintings and music in a database.

[1250] 6. Checking and editing the generated output

[1251] Step 1:

[1252] The device displays the generated stories, paintings, and music to the user.

[1253] Step 2:

[1254] The user checks the displayed output and edits it if necessary.

[1255] Step 3:

[1256] The device sends the edited content to the server.

[1257] Step 4:

[1258] The server stores the received edits in a database and finalizes them as the final product.

[1259] 7. Publication of the Produced Product

[1260] Step 1:

[1261] The user clicks the "Publish" button on the device to send a publishing request to the server.

[1262] Step 2:

[1263] The server receives the publication request and stores the results in a publication database.

[1264] Step 3:

[1265] The server makes the output available to all users.

[1266] Example 2

[1267] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1268] In modern society, it is important for users to express their lives and values ​​and share them with others. However, for users who are not good at self-expression, creative activities such as storytelling, painting, and music are difficult. Furthermore, it is difficult to generate content that appropriately reflects emotions, and a generation method that takes emotions into account is needed to improve the user experience.

[1269] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for authenticating a user by comparing the authentication information of the user with a database, a means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, a means for generating a story based on the organized content, and a means including an emotion engine for recognizing emotions from the content of the user's utterances. This allows a user to express their own life and values ​​using an interactive generation AI, and then embody and publish them as a story, painting, or music.

[1270] A "terminal" is an electronic device operated by a user, including a personal computer, smartphone, tablet, etc.

[1271] A "user" is an individual who uses this system, inputs authentication information via a terminal, and interacts with the interactive generative AI.

[1272] "Authentication Information" means the information a User enters to verify his / her identity, including User ID and password.

[1273] A "server" is a central computer that manages and controls the entire system, and performs various data processing, response generation, database management, etc.

[1274] A "database" is a collection of data accessed by the server, and stores user information, dialogue logs, generated stories, paintings, music, and so on.

[1275] "Interactive generative AI" refers to artificial intelligence technology that analyzes user statements and generates appropriate responses, and includes models that use natural language processing technology.

[1276] The "emotion engine" is a mechanism that recognizes emotions from the content of a user's statements, analyzes the user's emotional state, and processes it as data.

[1277] "Story" refers to a text-based creative work generated based on the user's dialogue and emotional information.

[1278] "Painting" refers to a work of art containing a visual representation generated by the server based on a story.

[1279] "Music" refers to artwork containing auditory expressions generated by the server based on narrative and recognized emotional information.

[1280] "Editing" refers to the act of a user making corrections or changes to a generated story, painting, or music.

[1281] "Publishing" refers to the act of a user making a product available for other users to view, and includes the server storing the product in a public database.

[1282] "Products" refers to all creative works such as stories, paintings, and music that are generated through this system.

[1283] This invention is a system that allows users to express their own lives and values, embody them as stories, paintings, or music, and share them with others. This system utilizes interactive generation AI and an emotion engine to generate content that reflects the user's emotions, improving the user experience.

[1284] System Overview

[1285] The system consists of a terminal operated by the user, a server that processes and stores data, and a database that manages the recorded data. Specifically, it includes the following components:

[1286] Devices: Electronic devices such as computers, smartphones, and tablets

[1287] Server: A central computer that processes data and generates responses

[1288] Database: A data collection that stores user information, interaction logs, and generated content.

[1289] User login

[1290] The user accesses the login screen on their device and enters their user ID and password. The device then sends the encrypted authentication information to the server. The server compares the received authentication information with a database, and if authentication is successful, generates a session token and sends it back to the device. This token is used to manage subsequent sessions.

[1291] Start a dialogue

[1292] After the user successfully logs in, they click the "Start Interaction" button. The device sends a start interaction request to the server, which generates a new session ID and associates it with the user's account. This session ID is then associated with the interaction log.

[1293] Emotion recognition and dialogue recording

[1294] The user speaks to the interactive generative AI and sends the content to the server in real time. The server's emotion engine recognizes emotions from the content of the speech and records them in a database. The server uses a generative AI model (e.g., GPT-3) to generate an appropriate response and sends it back to the device. The device then displays the generated response to the user.

[1295] Organizing dialogue content and generating stories

[1296] Once the interactive session is over, the server retrieves all logs from the database, organizes them based on themes and timelines, and runs a story generation algorithm (e.g., a story titled "The Turning Point at Age 30" is generated).

[1297] Painting and music generation

[1298] Based on the story, the server extracts visual and musical elements and generates paintings and music using deep learning algorithms. The generated content also reflects emotional information.

[1299] Checking and editing the generated output

[1300] The user can review the stories, paintings, and music created through the device and edit them as needed, and the device sends the edited content to the server, which stores it in a database.

[1301] Publication of the product

[1302] When a user presses the "Publish" button, the device sends a publication request to the server, which then stores the result in a public database and makes it available to all users.

[1303] Specific examples

[1304] A specific example is a prompt sentence such as, "I decided to change jobs at the age of 30. The reason was that I wanted opportunities for growth." Based on this prompt, the emotion engine recognizes emotions such as "anxiety" and "expectation," and the generative AI generates a story based on that content. Furthermore, paintings and music are generated based on this story, which users can view, edit, and publish.

[1305] (Example of a prompt)

[1306] "I had a really hard time at my first job after graduating from college, and I want to talk about that experience."

[1307] "I lost a loved one last year. Tell me about how I overcame that grief."

[1308] In this way, users input their own experiences and emotions into the system, which then uses interactive generative AI and emotion engine technology to generate individually personalized stories and works of art.

[1309] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1310] Step 1:

[1311] The user accesses the login screen and enters their authentication information.

[1312] The user opens the login screen on their device and enters their user ID and password. The entered authentication information is encrypted and sent from the device to the server.

[1313] Input: User ID and password

[1314] Output: Encrypted credentials

[1315] Step 2:

[1316] The server receives the authentication information and authenticates it against a database.

[1317] The server receives the encrypted authentication information sent from the device and compares it with the user information stored in the database. If authentication is successful, it generates a session token and returns it to the device.

[1318] Input: Encrypted credentials

[1319] Output: Session token

[1320] Step 3:

[1321] The user clicks the "Start conversation" button to send a request to start a conversation.

[1322] After being authenticated, the user clicks the "Start conversation" button on the device. When this click event occurs, the device sends a conversation start request to the server. The request also includes the session token.

[1323] Input: "Start Interaction" button click event, session token

[1324] Output: Initiating request

[1325] Step 4:

[1326] The server generates a new session ID and associates it with the interaction log.

[1327] When the server receives a conversation initiation request, it generates a new session ID, which is associated with the user's conversation log and sent back to the device.

[1328] Input: Dialogue-initiating request

[1329] Output: Session ID

[1330] Step 5:

[1331] The user speaks to the interactive generation AI, and the spoken content is sent from the device to the server.

[1332] Users speak to the interactive generation AI, and the content is sent to the server in real time via their device.

[1333] Input: What the user says

[1334] Output: Speech content data

[1335] Step 6:

[1336] The server uses an emotion engine to recognize emotions from the content of the speech.

[1337] The server passes the received comments to the emotion engine, which analyzes the user's emotions. For example, if a comment says, "I'm worried about changing jobs," it recognizes emotions such as anxiety and expectation.

[1338] Input: Speech content data

[1339] Output: Emotional information

[1340] Step 7:

[1341] The server records the content of the speech and emotional information in a database.

[1342] The emotion information recognized by the emotion engine and the content of the utterance are stored in a database by the server.

[1343] Input: Speech content data, emotional information

[1344] Output: Records in the database

[1345] Step 8:

[1346] The server uses a generative AI model to generate an appropriate response.

[1347] The server uses interactive generative AI (generative AI model) to generate appropriate responses based on the user's statements and emotional information.

[1348] Input: Speech content data, emotional information

[1349] Output: The generated response

[1350] Step 9:

[1351] The terminal displays the generated response to the user.

[1352] The server generates a response and sends it to the terminal, which displays it to the user.

[1353] Input: Generated response

[1354] Output: What is displayed to the user

[1355] Step 10:

[1356] The server obtains the user's dialogue and generates a story.

[1357] After the dialogue log is completed, the server retrieves all logs from the database, organizes them based on themes and timelines, and then runs a story generation algorithm based on the organized content.

[1358] Input: All conversation logs

[1359] Output: The generated story

[1360] Step 11:

[1361] The server generates paintings and music from the story.

[1362] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music.

[1363] Input: Generated story

[1364] Output: Generated paintings, music

[1365] Step 12:

[1366] User-generated stories, paintings, and music can be viewed and edited.

[1367] Users can view the generated content through their devices and edit it as needed.

[1368] Input: Generated stories, paintings, music

[1369] Output:Edit

[1370] Step 13:

[1371] The server stores and publishes the edited products.

[1372] The user's edits are sent back to the server, which saves them in a database. When the user clicks the publish button, the results are saved in a public database, where they can be viewed by all users.

[1373] Input: Edits, publishing requests

[1374] Output: Published artifacts

[1375] (Application example 2)

[1376] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1377] In recent years, many users desire self-expression, but many find it difficult to communicate their lives and values ​​to others. Furthermore, conventional methods have difficulty generating entertainment content that reflects human emotions. Existing tools and applications make it difficult to easily generate personalized stories, paintings, and music that incorporate users' emotions and share them with others.

[1378] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1379] In this invention, the server includes a means for recognizing a user's emotions using an emotion recognition engine and reflecting them in the dialogue, a means for an interactive generation AI to analyze the user's utterances and generate an appropriate response, and a means for generating pictures and music based on the generated story. This makes it possible to easily generate stories, visuals, and music that reflect the user's emotions and share them as personal and moving content.

[1380] A "terminal" is an electronic device that allows a user to input and confirm information.

[1381] A "user" is someone who uses the system to enter authentication information and express their own life and values.

[1382] "Authentication information" refers to information such as the user ID and password used by a user to log in to a system.

[1383] A "server" is a central computer system that receives authentication information from users, collates it with a database to perform authentication, and performs other processing.

[1384] A "database" is a system for structuring, storing, and managing information such as user information, dialogue logs, and generated results.

[1385] "Interactive generative AI" is an artificial intelligence system that analyzes what a user says through dialogue with them and generates an appropriate response.

[1386] An "emotion recognition engine" is a system that recognizes emotions from the content of a user's statements and input.

[1387] A "story" is text content generated based on the dialogue between the user and the interactive generation AI.

[1388] "Paintings" are visual content generated by an algorithm based on the content and emotions of a generated story.

[1389] "Music" is an auditory content generated by an algorithm based on the content and emotions of the generated story.

[1390] "Editing" refers to a user making changes or modifications to a generated story, painting, or piece of music.

[1391] "Publishing" means making the generated story, painting, or music available to other users and the public.

[1392] This invention is a system that allows users to express their own lives and values ​​using an interactive generation AI and an emotion recognition engine, and then embody and publish them as stories, paintings, and music. This system includes the following elements, and specific embodiments will be described below.

[1393] 1. User login

[1394] The user enters authentication information (user ID and password) on the terminal. The terminal sends this authentication information to the server, which then verifies it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. This procedure authenticates the user.

[1395] 2. Start a dialogue with AI

[1396] After a user successfully logs in, an interactive session begins by clicking the "Start Interaction" button on the terminal. The server generates a new session ID and associates it with the interaction log, thereby recording the interaction.

[1397] 3. Emotion Recognition by Emotion Engine

[1398] The user's comments are sent to the dialogue generation AI, and at the same time, the emotion recognition engine analyzes the user's emotions in real time. The user's comments and the recognized emotional information are sent to the server and recorded in a database. For example, if a user says, "I decided to change jobs when I was 30 years old," the system recognizes the emotion at that time and reflects it in the dialogue.

[1399] 4. Organizing the content of the dialogue

[1400] The server organizes all conversation logs based on themes and timelines, taking emotional information into consideration. Based on the organized content, an algorithm is run to generate a story, such as "A turning point at age 30."

[1401] 5. Generating paintings and music

[1402] Based on the generated story, the server automatically generates art and music. Visual and musical elements that reflect the scenery and emotions of the story are extracted, and the corresponding algorithms are executed.

[1403] 6. Checking and editing the generated output

[1404] The user can view the generated story, painting, and music on their device and edit them as needed. Once the user confirms the edits, the data is sent back to the server and saved in the database.

[1405] 7. Publication of the Produced Product

[1406] When a user presses the "Publish" button, the resulting work is saved in a public database and becomes available for all users to view, allowing users to share their own expressions with others.

[1407] The implementation of this system utilizes the following hardware and software:

[1408] Server: Authentication processing, database operations, execution of generative AI models

[1409] Terminal: User input, interactive display, editing operations

[1410] Emotion Recognition Engine: Emotion recognition and analysis

[1411] Dialogue-based generative AI: Analysis of speech content and response generation

[1412] Example: Prompt sentence example

[1413] "I decided to change jobs when I was 30. At the time, I felt both anxious and excited."

[1414] By inputting this prompt, the system can analyze the user's emotions and dialogue and generate appropriate stories, paintings, and music.

[1415] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1416] Step 1:

[1417] The user accesses the login screen using a terminal and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server compares the received authentication information with a database and performs authentication. If authentication is successful, the server generates a session token and sends it back to the terminal.

[1418] Input: User ID, Password

[1419] Output: Session token (if authentication is successful)

[1420] Step 2:

[1421] After successfully logging in, the user clicks the "Start Interaction" button on the device. The device sends a request to the server to start an interaction session. The server generates a new session ID and associates it with the interaction log.

[1422] Input: Session token

[1423] Output: Session ID

[1424] Step 3:

[1425] When a user speaks to the interactive generation AI on their device, the emotion recognition engine analyzes the user's speech in real time and recognizes their emotions. The speech content and the recognized emotional information are sent to the server and recorded in a database. The server then uses the interactive generation AI to analyze the speech content, generate an appropriate response, and send that response back to the device.

[1426] Input: User comment

[1427] Output: AI response, emotional information

[1428] Step 4:

[1429] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information. It then runs a story-generation algorithm based on the organized content, which generates a story.

[1430] Input: Dialogue log (contents of speech, emotional information)

[1431] Output: The generated story

[1432] Step 5:

[1433] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music that reflect the scenes and emotions of the story.

[1434] Input: Generated story

[1435] Output: Generated paintings, music

[1436] Step 6:

[1437] The user can review the stories, paintings, and music they have created through their device and make edits as needed. Once the edits are confirmed, the device sends them to the server, which then stores the edited results in a database.

[1438] Input: Editing content (story, painting, music)

[1439] Output: Saved edits

[1440] Step 7:

[1441] When a user presses the "Publish" button, a request to publish the product is sent to the server, which then stores the product in a public database and makes it available to all users.

[1442] Input: Publishing request

[1443] Output: Published artifacts

[1444] As described above, at each step, data processing and calculations are performed based on the input data to generate appropriate output, enabling users to create and share stories, paintings, and music that express their own lives and values.

[1445] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1446] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1447] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1448] [Fourth embodiment]

[1449] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1450] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1451] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1452] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1453] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1454] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1455] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1456] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1457] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1458] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1459] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1460] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1461] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1462] The purpose of this system is to allow users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. Below, we will explain each element of this system and its functions in detail.

[1463] 1. User login

[1464] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[1465] 2. Start a dialogue with AI

[1466] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[1467] 3. Recording of conversations

[1468] The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to a server, which records it in a database. Meanwhile, the interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server.

[1469] 4. Organizing dialogue content and generating a story

[1470] The server retrieves all logs of the dialogue session from the database, organizes the dialogue content based on themes and timelines, and then runs a story-generation algorithm based on this organized content to generate a story.

[1471] As a concrete example, consider the case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30." This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[1472] 5. Generating paintings and music

[1473] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[1474] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[1475] 6. Checking and editing the generated output

[1476] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[1477] 7. Publication of the Produced Product

[1478] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. In this way, users can share their stories and values ​​with others.

[1479] This system provides an effective means for users who are not good at self-expression to easily express their lives and values ​​and share them with others.

[1480] The processing flow will be explained below.

[1481] Specific program processing flow

[1482] 1. User login

[1483] Step 1:

[1484] The device displays a login screen to the user, and the user enters their user ID and password.

[1485] Step 2:

[1486] The terminal transmits the entered authentication information to the server.

[1487] Step 3:

[1488] The server authenticates the received authentication information by checking it against a database.

[1489] Step 4:

[1490] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[1491] 2. Start a dialogue with AI

[1492] Step 1:

[1493] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[1494] Step 2:

[1495] The terminal sends an interactive session initiation request to the server.

[1496] Step 3:

[1497] The server generates a new session ID and associates it with the interaction log.

[1498] Step 4:

[1499] The server returns a session ID to the terminal and an interactive session begins.

[1500] 3. Recording of conversations

[1501] Step 1:

[1502] The user speaks to the interactive generation AI through the device.

[1503] Step 2:

[1504] The device sends the user's speech to the server.

[1505] Step 3:

[1506] The server records the speech in a database.

[1507] Step 4:

[1508] The server uses interactive generation AI to analyze what the user says and generate an appropriate response.

[1509] Step 5:

[1510] The server sends the AI's response back to the terminal and records it in a database.

[1511] Step 6:

[1512] The device displays the AI's response to the user.

[1513] 4. Organizing dialogue content and generating a story

[1514] Step 1:

[1515] The server retrieves the complete log of the interactive session from the database.

[1516] Step 2:

[1517] The conversation logs acquired by the server are organized based on themes and timelines.

[1518] Step 3:

[1519] The server runs an algorithm that generates a story based on the organized content.

[1520] Step 4:

[1521] The server stores the generated stories in a database.

[1522] 5. Generating paintings and music

[1523] Step 1:

[1524] The server analyzes the generated story and extracts visual and musical elements.

[1525] Step 2:

[1526] The server runs an algorithm to generate a painting based on the extracted elements.

[1527] Step 3:

[1528] The server runs an algorithm to generate music based on the extracted elements.

[1529] Step 4:

[1530] The server stores the generated paintings and music in a database.

[1531] 6. Checking and editing the generated output

[1532] Step 1:

[1533] The device displays the generated stories, paintings, and music to the user.

[1534] Step 2:

[1535] The user checks the displayed output and edits it if necessary.

[1536] Step 3:

[1537] The device sends the edited content to the server.

[1538] Step 4:

[1539] The server stores the received edits in a database and finalizes them as the final product.

[1540] 7. Publication of the Produced Product

[1541] Step 1:

[1542] The user clicks the "Publish" button on the device to send a publishing request to the server.

[1543] Step 2:

[1544] The server receives the publication request and stores the results in a publication database.

[1545] Step 3:

[1546] The server makes the output available to all users.

[1547] Example 1

[1548] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1549] Even users who are not good at self-expression have difficulty effectively expressing their lives and values ​​and sharing them with others. Another issue with conventional systems is that the process of recording user comments in real time, organizing the conversations into a story, and then generating paintings or music based on that is extremely complicated and requires a lot of effort from the user.

[1550] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1551] In this invention, the server includes means for authenticating a user by comparing their authentication information with a database, means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, means for generating a story based on the organized content, means for the server to generate paintings or music based on the generated story, means for transmitting and recording in real time what the user says to the dialogue generation AI, means for the dialogue generation AI to analyze the content of the user's speech and generate an appropriate response and return it to the terminal, and means for the terminal or server to generate a session ID based on the content of the user's speech and response and store the session ID in a database. This allows users to easily express and record their lives and values, and to embody and share that content as a story, painting, or music.

[1552] "Terminal" means a computer system or device operated by a user, including a PC, smartphone, tablet, etc.

[1553] A "server" is a computer system that manages, stores, and processes data, and performs authentication, records dialogue, creates stories, and generates art and music.

[1554] "Authentication information" refers to information such as the user ID and password that a user enters when logging in.

[1555] A "database" is a system that manages and stores structured data, and stores user authentication information, dialogue content, and generated data.

[1556] "Interactive generative AI" is an artificial intelligence model that analyzes what users say and generates appropriate responses, using natural language processing technology.

[1557] "Statement content" refers to the words or sentences that users input into the interactive generation AI.

[1558] A "session ID" is an identifier generated to uniquely identify an interaction session, and is linked to a record of the content of the interaction.

[1559] A "story" is a story generated based on the user's dialogue and is structured around a theme and timeline.

[1560] "Paintings" are images generated based on the visual elements of a story.

[1561] "Music" is a musical composition generated based on the emotions and themes of the story.

[1562] "Products" is a general term for the stories, paintings, and music that are generated.

[1563] "Publishing" means making the creation available for other users to view.

[1564] This invention is a system that allows users to express their own lives and values ​​using interactive generative AI, and then embody and publish them as stories, paintings, or music. This system is realized using the following main hardware and software:

[1565] 1. Hardware

[1566] Terminal: A computer system or device operated by a user (PC, smartphone, tablet).

[1567] Server: A computer system that manages, stores, and processes data.

[1568] 2. Software

[1569] Database system: A system that manages and stores structured data (e.g., MySQL)

[1570] Generative AI model: An artificial intelligence that analyzes what a user says and generates an appropriate response (e.g., GPT-4)

[1571] Authentication system: A system that manages and verifies user authentication information

[1572] Conversational interface: an interface for users to interact with conversational generative AI

[1573] Specific Examples

[1574] 1. User login

[1575] The user accesses the login screen using a device and enters authentication information such as a user ID and password. The device then sends this authentication information to the server using the HTTPS protocol. The server compares the received authentication information with a database for authentication, and if successful, generates a session token and sends it back to the device.

[1576] 2. Starting an interactive session

[1577] After successfully logging in, the user clicks the "Start Interaction" button to start an interactive session. The device sends a request to the server to start an interactive session. The server generates a new session ID, associates it with the user's interaction log, and saves the information in the database.

[1578] 3. Recording of conversations

[1579] The user speaks to the generative AI model through the device about their own life and values. An example of a prompt sentence is, "I decided to change jobs when I was 30." The device sends this speech to the server in real time. The server records the received speech in a database. At the same time, the generative AI model analyzes the user's speech and generates an appropriate response. This response is sent back to the device via the server, which also records the response.

[1580] 4. Organizing dialogue content and generating a story

[1581] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines. The server then runs a story-generation algorithm based on the organized content, generating a story. For example, if a user talks about "why I decided to change jobs at age 30," this dialogue will be associated with the theme of "changing jobs" and a story titled "A turning point at age 30" will be generated.

[1582] 5. Generating paintings and music

[1583] The server generates paintings and music based on the generated story. It analyzes the story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions in the story will be generated.

[1584] 6. Checking and editing the generated output

[1585] The user can view the generated story, paintings, and music through their device and edit them as needed. For example, they can read the generated "Turning Point at Age 30" story, or listen to the paintings and music. The edited content is then sent back to the server, which stores it in a database.

[1586] 7. Publication of the Produced Product

[1587] When a user presses the "Publish" button, a request to publish the product is sent to the server. The server stores the product in a public database and makes it available to all users. This allows users to share their stories and values ​​with others.

[1588] The above is a concrete example of the process by which users can effectively express their own lives and values ​​and share them with others. The system is designed to be easy to use even for users who are not good at expressing themselves.

[1589] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1590] Step 1: User enters credentials

[1591] The user accesses the login screen of the device and enters authentication information such as a user ID and password. This input data is the user's authentication information (user ID and password).

[1592] Step 2: Send authentication information to the server

[1593] The terminal sends the entered authentication information to the server using the HTTPS protocol. The input is the user's authentication information, and the output is the data sent to the server.

[1594] Step 3: Verify credentials

[1595] The server checks the received authentication information against a database, running a SQL query to verify the authentication information against the database to see if it matches the authentication information in the database. The input is the authentication information sent to the server, and the output is the authentication result (success or failure).

[1596] Step 4: Return authentication results to the user

[1597] The server generates an authentication result, and if successful, a session token. The session token is a temporary identifier to maintain the authenticated session. The authentication result (session token or error message) is returned to the terminal. The input is the authentication result, and the output is the data returned to the user.

[1598] Step 5: Send an initiating request

[1599] After the user successfully logs in, he clicks the "Start Interaction" button. The terminal sends a request to the server to start an interactive session. The input is the user's interaction start operation, and the output is the request data sent to the server.

[1600] Step 6: Generate an interactive session ID

[1601] The server generates a new session ID and associates it with the user's interaction log. The session ID is a unique identifier for the interaction and is managed within the server. An appropriate algorithm for session ID generation is used. The input is the request to start the interaction session, and the output is the generated session ID.

[1602] Step 7: Receive and record user comments

[1603] The user uses a device to make statements to the generative AI model. For example, they might say, "I decided to change jobs when I was 30 years old." The device then sends this statement to the server in real time. The input is the user's spoken text, and the output is the data sent to the server.

[1604] Step 8: Record what was said in the database

[1605] The server records the received speech content in a database. The speech content is saved in the database along with the session ID. The input is the received speech content, and the output is the data saved in the database.

[1606] Step 9: Generate an AI response

[1607] Conversational generative AI analyzes what users say and generates appropriate responses. It analyzes what users say based on an algorithm and generates the optimal response. The input is the user's spoken text, and the output is the generated response text.

[1608] Step 10: Send the response back to the user and record it

[1609] The server sends the generated AI response back to the terminal and simultaneously records it in a database. The response text is saved in the database with the same session ID as the speech content. The input is the generated response text, and the output is the data sent back to the user and saved in the database.

[1610] Step 11: Organize the dialogue and generate a story

[1611] The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. It then runs a story generation algorithm based on the organized content to generate a story. The input is the dialogue log data, and the output is the generated story.

[1612] Step 12: Generate art and music

[1613] The server analyzes the generated story and extracts visual and musical elements from it. Based on these elements, the server runs algorithms for generating paintings and music. The input is the generated story, and the output is painting data and music data.

[1614] Step 13: Display the result to the user and accept edits

[1615] The user can review the generated story, painting, and music through their device and edit them as needed. For example, they can read the generated story "A Turning Point at Age 30" and make edits. The edits are then sent back to the server. The input is the review of the generated story and the edits, and the output is the transmission of the edited data.

[1616] Step 14: Save and publish your edited product

[1617] The server saves the edited product in a database and makes it public when the user presses the "Publish" button. The product is saved in the public database and made accessible. The input is the edited product, and the output is the published product data.

[1618] The above are the specific processing steps of this system.

[1619] (Application example 1)

[1620] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1621] In recent years, advances in interactive generative AI technology have made it easier for users to embody their own lives and values ​​as stories, paintings, and music. However, there is a need for ways to provide users with richer experiences. In particular, sharing with other users using video and virtual reality (VR) is expected to further deepen the sharing of self-expression and foster empathy with others. The objective of this invention is to provide a system that allows users to embody content generated by interactive generative AI in a virtual space and share and experience it with other users.

[1622] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1623] In this invention, the server includes means for recording the content of the conversations and organizing the content of the conversations based on themes and timelines, means for generating a story based on the organized content, means for generating and displaying a virtual space based on the generated story, and means for allowing other users to share and experience the virtual space. This not only allows users to embody the content of their conversations as a virtual space, but also allows them to share that virtual space with other users, creating deeper emotions and empathy.

[1624] "Terminal" means a device that allows a user to send input information and receive and display generated content.

[1625] "Authentication information" refers to information such as user ID and password used by a user to access a system.

[1626] A "server" is a central processing unit that provides functions such as data storage and management, authentication, recording and analysis of conversation content, and content generation and publication.

[1627] A "database" is a system for systematically storing and managing various data such as authentication information, conversation details, and generated content.

[1628] "Interactive generative AI" is an artificial intelligence system that analyzes what users say and generates appropriate responses and content.

[1629] "Dialogue content" refers to the content of text, audio information, and other information exchanged between the user and the dialogue generation AI.

[1630] "Themes and timelines" are themes and chronological information used to organize the content of the dialogue.

[1631] "Story" is a storytelling-style text content generated based on the user's dialogue.

[1632] "Art and Music" refers to content that includes visual or musical elements based on a generated story.

[1633] A "virtual space" is a virtual environment that users can visually experience, constructed based on generated stories and dialogue content.

[1634] "Sharing" means viewing and experiencing the generated virtual space and content together with other users.

[1635] To implement this invention, the user first enters authentication information on the terminal and sends it to the server. The server then verifies this authentication information against a database. If authentication is successful, the user can begin a dialogue with the interactive generation AI. An interactive session begins by clicking the dialogue start button on the terminal. The server generates a new session ID and associates it with the user's dialogue log.

[1636] During the dialogue, the user speaks about their own life and values ​​and receives responses from the interactive generation AI. The user's comments and the AI's responses are recorded in real time on the server, and the content of the dialogue is organized. The server organizes the dialogue based on themes and timelines, and generates a story based on this organized content. The generated story is further analyzed to extract visual and musical elements for generating paintings and music. The server then uses appropriate algorithms to generate paintings and music based on these elements.

[1637] Next, a virtual space is constructed and displayed based on the generated story. The server uses software such as Unity VR API to recreate the scenes and emotions contained in the story within the VR space. This allows users to visually experience the generated virtual space through a dedicated device (smartphone or head-mounted display). Other users can also share and experience this virtual space.

[1638] The generated stories, pictures, music, and virtual spaces are displayed to the user through their device, and the user can edit them. The edited content is sent back to the server, which stores it in a database. When the user presses the publish button, the created content is saved in a public database and becomes viewable by other users.

[1639] The main hardware used includes the user's device (smartphone or head-mounted display), the server, and the device for generating and displaying the virtual space. The main software used includes Flask (for server-side processing), OpenAI API (for interactive generative AI), and Unity VR API (for generating the virtual space).

[1640] For example, if a user talks to a conversation generation AI about "why I decided to change jobs at age 30," the conversation content is recorded as a conversation log, and a story and virtual space are generated based on that. The following is an example of a prompt sentence:

[1641] Prompt statement:

[1642] We will talk about "Why I decided to change jobs at age 30." We will ask the AI ​​about the reason for changing jobs and dig deeper depending on the answer.

[1643] Based on this prompt, what the user says is analyzed by AI and then embodied as a story or virtual space. Users can share this virtual space with other users, deepening empathy and emotion.

[1644] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1645] Step 1: The user uses a terminal to access the login screen and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server authenticates the received authentication information by checking it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. The input is the user's authentication information, and the output is the session token. Data processing involves checking the authentication information.

[1646] Step 2: After the user receives the session token, they click the "Start Interaction" button on their device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log. The input is the request to start the interaction, and the output is the session ID. The data operation is the generation of the session ID.

[1647] Step 3: The user speaks to the interactive generation AI through their device about their life and values. The user's speech is sent in real time to the server, which records it in a database. The interactive generation AI analyzes the user's speech, generates an appropriate response, and sends it back to the device. This response is also recorded on the server. The input is the user's speech, and the output is the interactive generation AI's response. Data processing involves recording the speech and generating a response.

[1648] Step 4: The server retrieves all dialogue session logs from the database and organizes the dialogue content based on themes and timelines. A story generation algorithm is run based on this organized content to generate a story. The input is the dialogue session log, and the output is the generated story. Data processing involves organizing the dialogue content and generating a story.

[1649] Step 5: The server analyzes the generated story and extracts visual and musical elements from it. Based on the extracted elements, the server runs algorithms for generating paintings and algorithms for generating music. The input is the generated story, and the output is paintings or music. Data processing involves extracting visual and musical elements and generating content.

[1650] Step 6: The terminal displays the generated story, painting, or music to the user, who can then edit it. The edited content is sent back to the server, which stores it in a database. The input is the generated content, and the output is the edited content. Data processing involves displaying the content and saving the edited content.

[1651] Step 7: The server generates a virtual space based on the edited content. Specifically, it uses the Unity VR API or similar to recreate the scenes and emotions contained in the story within the VR space. The input is the edited content, and the output is a scene in the virtual space. Data processing is the generation of the virtual space.

[1652] Step 8: After the virtual space is generated, the device displays it to the user and makes it available for sharing with other users. Users who share the space can also experience the same virtual space. The input is a virtual space scene, and the output is a VR space that users can experience. Data processing is data management for sharing.

[1653] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1654] The system aims to allow users to express their own lives and values ​​using interactive generative AI, then embody and publish them as stories, paintings, or music. It also incorporates an emotion engine that recognizes the user's emotions to enhance the user experience. Below, we will explain each element of the system and its functions in detail.

[1655] 1. User login

[1656] The user accesses the login screen using a device and enters their authentication information (user ID and password). The device sends this authentication information to the server. The server verifies the received authentication information against a database, and if authentication is successful, generates a session token and sends it back to the device.

[1657] 2. Start a dialogue with AI

[1658] After successfully logging in, the user clicks the "Start Interaction" button on the device to send a request to the server to start an interactive session. The server generates a new session ID and associates it with the user's interaction log.

[1659] 3. Emotion recognition by emotion engine and recording of conversation content

[1660] The user speaks to the interactive generation AI through their device. At this time, the emotion engine recognizes emotions from the user's speech and input. The user's speech and emotional information are sent to the server in real time, and the server records the content in a database.

[1661] The server uses a conversational generation AI to analyze the user's comments and generate an appropriate response based on the recognized emotional information. The generated response is sent back to the device and simultaneously recorded in a database. The device then displays the AI's response to the user.

[1662] 4. Organizing dialogue content and generating a story

[1663] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information.The server then runs a story-generation algorithm based on the organized content to generate a story.

[1664] As a concrete example, consider a case where a user talks to a conversational generation AI about "why they decided to change jobs at age 30," and the emotion engine recognizes the user's feelings such as anxiety and expectation. This conversation is recorded and organized around the theme of "changing jobs." As a result, a story titled "A turning point at age 30" is generated.

[1665] 5. Generating paintings and music

[1666] The server generates paintings and music based on the generated story. First, it analyzes the story and extracts visual and musical elements, as well as recognized emotional elements. Based on the extracted elements, the server runs algorithms to generate paintings and music.

[1667] For example, if a story about a "turning point at age 30" is generated, paintings and music that reflect the scenes and emotions (anxiety and anticipation) in the story will be generated.

[1668] 6. Checking and editing the generated output

[1669] The user can view the generated story, painting, or music on their device and edit it as needed. The edited content is then sent back to the server, which stores it in a database and finalizes it as the final product.

[1670] 7. Publication of the Produced Product

[1671] When a user presses the "Publish" button, a request to publish the creation is sent to the server. The server stores the creation in a public database and makes it available to all users. In this way, users can share their creations that reflect their own stories, values, and emotions with others.

[1672] This system provides an effective means for users who are not good at expressing themselves to easily express their lives and values ​​and share them with others. In addition, by combining it with an emotion engine, it can generate more personal content that reflects the user's emotions, improving the user experience.

[1673] The processing flow will be explained below.

[1674] Specific program processing flow (including emotion engine)

[1675] 1. User login

[1676] Step 1:

[1677] The device displays a login screen to the user, and the user enters their user ID and password.

[1678] Step 2:

[1679] The terminal transmits the entered authentication information to the server.

[1680] Step 3:

[1681] The server authenticates the received authentication information by checking it against a database.

[1682] Step 4:

[1683] If the server is successful in the authentication, it generates a session token and returns it to the terminal.

[1684] 2. Start a dialogue with AI

[1685] Step 1:

[1686] The device displays options for starting a conversation to the user, and the user clicks the "Start conversation" button.

[1687] Step 2:

[1688] The terminal sends an interactive session initiation request to the server.

[1689] Step 3:

[1690] The server generates a new session ID and associates it with the interaction log.

[1691] Step 4:

[1692] The server returns a session ID to the terminal and an interactive session begins.

[1693] 3. Emotion recognition by emotion engine and recording of conversation content

[1694] Step 1:

[1695] The user speaks to the interactive generation AI through the device.

[1696] Step 2:

[1697] The device sends the user's comments and the results of the emotion engine's analysis to the server.

[1698] Step 3:

[1699] The server records the content of the speech and emotional information in a database.

[1700] Step 4:

[1701] The server uses interactive generation AI to analyze what the user says and generate an appropriate response that reflects emotional information.

[1702] Step 5:

[1703] The server sends the AI's response back to the terminal and records it in a database.

[1704] Step 6:

[1705] The device displays the AI's response to the user.

[1706] 4. Organizing dialogue content and generating a story

[1707] Step 1:

[1708] The server retrieves the complete log of the interactive session from the database.

[1709] Step 2:

[1710] The server organizes the conversation logs based on themes and timelines, taking into account emotional information.

[1711] Step 3:

[1712] The server runs an algorithm that generates a story based on the organized content.

[1713] Step 4:

[1714] The server stores the generated stories in a database.

[1715] 5. Generating paintings and music

[1716] Step 1:

[1717] The server analyzes the generated narrative and extracts visual, musical, and perceived emotional elements.

[1718] Step 2:

[1719] The server runs an algorithm to generate a painting based on the extracted elements.

[1720] Step 3:

[1721] The server runs an algorithm to generate music based on the extracted elements.

[1722] Step 4:

[1723] The server stores the generated paintings and music in a database.

[1724] 6. Checking and editing the generated output

[1725] Step 1:

[1726] The device displays the generated stories, paintings, and music to the user.

[1727] Step 2:

[1728] The user checks the displayed output and edits it if necessary.

[1729] Step 3:

[1730] The device sends the edited content to the server.

[1731] Step 4:

[1732] The server stores the received edits in a database and finalizes them as the final product.

[1733] 7. Publication of the Produced Product

[1734] Step 1:

[1735] The user clicks the "Publish" button on the device to send a publishing request to the server.

[1736] Step 2:

[1737] The server receives the publication request and stores the results in a publication database.

[1738] Step 3:

[1739] The server makes the output available to all users.

[1740] Example 2

[1741] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1742] In modern society, it is important for users to express their lives and values ​​and share them with others. However, for users who are not good at self-expression, creative activities such as storytelling, painting, and music are difficult. Furthermore, it is difficult to generate content that appropriately reflects emotions, and a generation method that takes emotions into account is needed to improve the user experience.

[1743] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for authenticating a user by comparing the authentication information of the user with a database, a means for recording the content of the dialogue and organizing the content of the dialogue based on themes and timelines, a means for generating a story based on the organized content, and a means including an emotion engine for recognizing emotions from the content of the user's utterances. This allows a user to express their own life and values ​​using an interactive generation AI, and then embody and publish them as a story, painting, or music.

[1744] A "terminal" is an electronic device operated by a user, including a personal computer, smartphone, tablet, etc.

[1745] A "user" is an individual who uses this system, inputs authentication information via a terminal, and interacts with the interactive generative AI.

[1746] "Authentication Information" means the information a User enters to verify his / her identity, including User ID and password.

[1747] A "server" is a central computer that manages and controls the entire system, and performs various data processing, response generation, database management, etc.

[1748] A "database" is a collection of data accessed by the server, and stores user information, dialogue logs, generated stories, paintings, music, and so on.

[1749] "Interactive generative AI" refers to artificial intelligence technology that analyzes user statements and generates appropriate responses, and includes models that use natural language processing technology.

[1750] The "emotion engine" is a mechanism that recognizes emotions from the content of a user's statements, analyzes the user's emotional state, and processes it as data.

[1751] "Story" refers to a text-based creative work generated based on the user's dialogue and emotional information.

[1752] "Painting" refers to a work of art containing a visual representation generated by the server based on a story.

[1753] "Music" refers to artwork containing auditory expressions generated by the server based on narrative and recognized emotional information.

[1754] "Editing" refers to the act of a user making corrections or changes to a generated story, painting, or music.

[1755] "Publishing" refers to the act of a user making a product available for other users to view, and includes the server storing the product in a public database.

[1756] "Products" refers to all creative works such as stories, paintings, and music that are generated through this system.

[1757] This invention is a system that allows users to express their own lives and values, embody them as stories, paintings, or music, and share them with others. This system utilizes interactive generation AI and an emotion engine to generate content that reflects the user's emotions, improving the user experience.

[1758] System Overview

[1759] The system consists of a terminal operated by the user, a server that processes and stores data, and a database that manages the recorded data. Specifically, it includes the following components:

[1760] Devices: Electronic devices such as computers, smartphones, and tablets

[1761] Server: A central computer that processes data and generates responses

[1762] Database: A data collection that stores user information, interaction logs, and generated content.

[1763] User login

[1764] The user accesses the login screen on their device and enters their user ID and password. The device then sends the encrypted authentication information to the server. The server compares the received authentication information with a database, and if authentication is successful, generates a session token and sends it back to the device. This token is used to manage subsequent sessions.

[1765] Start a dialogue

[1766] After the user successfully logs in, they click the "Start Interaction" button. The device sends a start interaction request to the server, which generates a new session ID and associates it with the user's account. This session ID is then associated with the interaction log.

[1767] Emotion recognition and dialogue recording

[1768] The user speaks to the interactive generative AI and sends the content to the server in real time. The server's emotion engine recognizes emotions from the content of the speech and records them in a database. The server uses a generative AI model (e.g., GPT-3) to generate an appropriate response and sends it back to the device. The device then displays the generated response to the user.

[1769] Organizing dialogue content and generating stories

[1770] Once the interactive session is over, the server retrieves all logs from the database, organizes them based on themes and timelines, and runs a story generation algorithm (e.g., a story titled "The Turning Point at Age 30" is generated).

[1771] Painting and music generation

[1772] Based on the story, the server extracts visual and musical elements and generates paintings and music using deep learning algorithms. The generated content also reflects emotional information.

[1773] Checking and editing the generated output

[1774] The user can review the stories, paintings, and music created through the device and edit them as needed, and the device sends the edited content to the server, which stores it in a database.

[1775] Publication of the product

[1776] When a user presses the "Publish" button, the device sends a publication request to the server, which then stores the result in a public database and makes it available to all users.

[1777] Specific examples

[1778] A specific example is a prompt sentence such as, "I decided to change jobs at the age of 30. The reason was that I wanted opportunities for growth." Based on this prompt, the emotion engine recognizes emotions such as "anxiety" and "expectation," and the generative AI generates a story based on that content. Furthermore, paintings and music are generated based on this story, which users can view, edit, and publish.

[1779] (Example of a prompt)

[1780] "I had a really hard time at my first job after graduating from college, and I want to talk about that experience."

[1781] "I lost a loved one last year. Tell me about how I overcame that grief."

[1782] In this way, users input their own experiences and emotions into the system, which then uses interactive generative AI and emotion engine technology to generate individually personalized stories and works of art.

[1783] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1784] Step 1:

[1785] The user accesses the login screen and enters their authentication information.

[1786] The user opens the login screen on their device and enters their user ID and password. The entered authentication information is encrypted and sent from the device to the server.

[1787] Input: User ID and password

[1788] Output: Encrypted credentials

[1789] Step 2:

[1790] The server receives the authentication information and authenticates it against a database.

[1791] The server receives the encrypted authentication information sent from the device and compares it with the user information stored in the database. If authentication is successful, it generates a session token and returns it to the device.

[1792] Input: Encrypted credentials

[1793] Output: Session token

[1794] Step 3:

[1795] The user clicks the "Start conversation" button to send a request to start a conversation.

[1796] After being authenticated, the user clicks the "Start conversation" button on the device. When this click event occurs, the device sends a conversation start request to the server. The request also includes the session token.

[1797] Input: "Start Interaction" button click event, session token

[1798] Output: Initiating request

[1799] Step 4:

[1800] The server generates a new session ID and associates it with the interaction log.

[1801] When the server receives a conversation initiation request, it generates a new session ID, which is associated with the user's conversation log and sent back to the device.

[1802] Input: Dialogue-initiating request

[1803] Output: Session ID

[1804] Step 5:

[1805] The user speaks to the interactive generation AI, and the spoken content is sent from the device to the server.

[1806] Users speak to the interactive generation AI, and the content is sent to the server in real time via their device.

[1807] Input: What the user says

[1808] Output: Speech content data

[1809] Step 6:

[1810] The server uses an emotion engine to recognize emotions from the content of the speech.

[1811] The server passes the received comments to the emotion engine, which analyzes the user's emotions. For example, if a comment says, "I'm worried about changing jobs," it recognizes emotions such as anxiety and expectation.

[1812] Input: Speech content data

[1813] Output: Emotional information

[1814] Step 7:

[1815] The server records the content of the speech and emotional information in a database.

[1816] The emotion information recognized by the emotion engine and the content of the utterance are stored in a database by the server.

[1817] Input: Speech content data, emotional information

[1818] Output: Records in the database

[1819] Step 8:

[1820] The server uses a generative AI model to generate an appropriate response.

[1821] The server uses interactive generative AI (generative AI model) to generate appropriate responses based on the user's statements and emotional information.

[1822] Input: Speech content data, emotional information

[1823] Output: The generated response

[1824] Step 9:

[1825] The terminal displays the generated response to the user.

[1826] The server generates a response and sends it to the terminal, which displays it to the user.

[1827] Input: Generated response

[1828] Output: What is displayed to the user

[1829] Step 10:

[1830] The server obtains the user's dialogue and generates a story.

[1831] After the dialogue log is completed, the server retrieves all logs from the database, organizes them based on themes and timelines, and then runs a story generation algorithm based on the organized content.

[1832] Input: All conversation logs

[1833] Output: The generated story

[1834] Step 11:

[1835] The server generates paintings and music from the story.

[1836] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music.

[1837] Input: Generated story

[1838] Output: Generated paintings, music

[1839] Step 12:

[1840] User-generated stories, paintings, and music can be viewed and edited.

[1841] Users can view the generated content through their devices and edit it as needed.

[1842] Input: Generated stories, paintings, music

[1843] Output:Edit

[1844] Step 13:

[1845] The server stores and publishes the edited products.

[1846] The user's edits are sent back to the server, which saves them in a database. When the user clicks the publish button, the results are saved in a public database, where they can be viewed by all users.

[1847] Input: Edits, publishing requests

[1848] Output: Published artifacts

[1849] (Application example 2)

[1850] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1851] In recent years, many users desire self-expression, but many find it difficult to communicate their lives and values ​​to others. Furthermore, conventional methods have difficulty generating entertainment content that reflects human emotions. Existing tools and applications make it difficult to easily generate personalized stories, paintings, and music that incorporate users' emotions and share them with others.

[1852] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1853] In this invention, the server includes a means for recognizing a user's emotions using an emotion recognition engine and reflecting them in the dialogue, a means for an interactive generation AI to analyze the user's utterances and generate an appropriate response, and a means for generating pictures and music based on the generated story. This makes it possible to easily generate stories, visuals, and music that reflect the user's emotions and share them as personal and moving content.

[1854] A "terminal" is an electronic device that allows a user to input and confirm information.

[1855] A "user" is someone who uses the system to enter authentication information and express their own life and values.

[1856] "Authentication information" refers to information such as the user ID and password used by a user to log in to a system.

[1857] A "server" is a central computer system that receives authentication information from users, collates it with a database to perform authentication, and performs other processing.

[1858] A "database" is a system for structuring, storing, and managing information such as user information, dialogue logs, and generated results.

[1859] "Interactive generative AI" is an artificial intelligence system that analyzes what a user says through dialogue with them and generates an appropriate response.

[1860] An "emotion recognition engine" is a system that recognizes emotions from the content of a user's statements and input.

[1861] A "story" is text content generated based on the dialogue between the user and the interactive generation AI.

[1862] "Paintings" are visual content generated by an algorithm based on the content and emotions of a generated story.

[1863] "Music" is an auditory content generated by an algorithm based on the content and emotions of the generated story.

[1864] "Editing" refers to a user making changes or modifications to a generated story, painting, or piece of music.

[1865] "Publishing" means making the generated story, painting, or music available to other users and the public.

[1866] This invention is a system that allows users to express their own lives and values ​​using an interactive generation AI and an emotion recognition engine, and then embody and publish them as stories, paintings, and music. This system includes the following elements, and specific embodiments will be described below.

[1867] 1. User login

[1868] The user enters authentication information (user ID and password) on the terminal. The terminal sends this authentication information to the server, which then verifies it against a database. If authentication is successful, the server generates a session token and sends it back to the terminal. This procedure authenticates the user.

[1869] 2. Start a dialogue with AI

[1870] After a user successfully logs in, an interactive session begins by clicking the "Start Interaction" button on the terminal. The server generates a new session ID and associates it with the interaction log, thereby recording the interaction.

[1871] 3. Emotion Recognition by Emotion Engine

[1872] The user's comments are sent to the dialogue generation AI, and at the same time, the emotion recognition engine analyzes the user's emotions in real time. The user's comments and the recognized emotional information are sent to the server and recorded in a database. For example, if a user says, "I decided to change jobs when I was 30 years old," the system recognizes the emotion at that time and reflects it in the dialogue.

[1873] 4. Organizing the content of the dialogue

[1874] The server organizes all conversation logs based on themes and timelines, taking emotional information into consideration. Based on the organized content, an algorithm is run to generate a story, such as "A turning point at age 30."

[1875] 5. Generating paintings and music

[1876] Based on the generated story, the server automatically generates art and music. Visual and musical elements that reflect the scenery and emotions of the story are extracted, and the corresponding algorithms are executed.

[1877] 6. Checking and editing the generated output

[1878] The user can view the generated story, painting, and music on their device and edit them as needed. Once the user confirms the edits, the data is sent back to the server and saved in the database.

[1879] 7. Publication of the Produced Product

[1880] When a user presses the "Publish" button, the resulting work is saved in a public database and becomes available for all users to view, allowing users to share their own expressions with others.

[1881] The implementation of this system utilizes the following hardware and software:

[1882] Server: Authentication processing, database operations, execution of generative AI models

[1883] Terminal: User input, interactive display, editing operations

[1884] Emotion Recognition Engine: Emotion recognition and analysis

[1885] Dialogue-based generative AI: Analysis of speech content and response generation

[1886] Example: Prompt sentence example

[1887] "I decided to change jobs when I was 30. At the time, I felt both anxious and excited."

[1888] By inputting this prompt, the system can analyze the user's emotions and dialogue and generate appropriate stories, paintings, and music.

[1889] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1890] Step 1:

[1891] The user accesses the login screen using a terminal and enters authentication information (user ID and password). The terminal sends this authentication information to the server. The server compares the received authentication information with a database and performs authentication. If authentication is successful, the server generates a session token and sends it back to the terminal.

[1892] Input: User ID, Password

[1893] Output: Session token (if authentication is successful)

[1894] Step 2:

[1895] After successfully logging in, the user clicks the "Start Interaction" button on the device. The device sends a request to the server to start an interaction session. The server generates a new session ID and associates it with the interaction log.

[1896] Input: Session token

[1897] Output: Session ID

[1898] Step 3:

[1899] When a user speaks to the interactive generation AI on their device, the emotion recognition engine analyzes the user's speech in real time and recognizes their emotions. The speech content and the recognized emotional information are sent to the server and recorded in a database. The server then uses the interactive generation AI to analyze the speech content, generate an appropriate response, and send that response back to the device.

[1900] Input: User comment

[1901] Output: AI response, emotional information

[1902] Step 4:

[1903] The server retrieves all logs of the dialogue session from the database and organizes the dialogue content based on themes and timelines, taking into account emotional information. It then runs a story-generation algorithm based on the organized content, which generates a story.

[1904] Input: Dialogue log (contents of speech, emotional information)

[1905] Output: The generated story

[1906] Step 5:

[1907] The server analyzes the generated story, extracts visual and musical elements, and runs algorithms to generate paintings and music that reflect the scenes and emotions of the story.

[1908] Input: Generated story

[1909] Output: Generated paintings, music

[1910] Step 6:

[1911] The user can review the stories, paintings, and music they have created through their device and make edits as needed. Once the edits are confirmed, the device sends them to the server, which then stores the edited results in a database.

[1912] Input: Editing content (story, painting, music)

[1913] Output: Saved edits

[1914] Step 7:

[1915] When a user presses the "Publish" button, a request to publish the product is sent to the server, which then stores the product in a public database and makes it available to all users.

[1916] Input: Publishing request

[1917] Output: Published artifacts

[1918] As described above, at each step, data processing and calculations are performed based on the input data to generate appropriate output, enabling users to create and share stories, paintings, and music that express their own lives and values.

[1919] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1920] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1921] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1922] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1923] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1924] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1925] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1926] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1927] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1928] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1929] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1930] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1931] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1932] 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.

[1933] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1934] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1935] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1936] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1937] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1938] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1939] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1940] The following is further disclosed regarding the above embodiment.

[1941] (Claim 1)

[1942] means for accepting authentication information entered by a user at the terminal;

[1943] a means for authenticating a user by checking the user's authentication information against a database by the server;

[1944] A means for initiating a dialogue between the user and the interactive generation AI via the terminal;

[1945] A server is used to record the contents of the conversations and organize the contents of the conversations based on themes and timelines;

[1946] A server generates a story based on the organized content;

[1947] A server generates pictures and music based on the generated story.

[1948] a means for displaying the generated story, painting, or music to a user and accepting edits by the terminal;

[1949] a means for storing and publishing the edited product by the server;

[1950] A system including:

[1951] (Claim 2)

[1952] The system of claim 1, wherein the interactive generation AI analyzes the user's statements and generates an appropriate response.

[1953] (Claim 3)

[1954] 10. The system of claim 1, wherein the user reviews the created story, painting, or music through a terminal and transmits the edited content to the server.

[1955] "Example 1"

[1956] (Claim 1)

[1957] means for accepting authentication information entered by a user at the terminal;

[1958] a means for authenticating a user by checking the user's authentication information against a database by the server;

[1959] A means for initiating a dialogue between the user and the interactive generation AI via the terminal;

[1960] A server is used to record the contents of the conversations and organize the contents of the conversations based on themes and timelines;

[1961] A server generates a story based on the organized content;

[1962] A server generates pictures and music based on the generated story.

[1963] a means for displaying the generated story, painting, or music to a user and accepting edits by the terminal;

[1964] a means for storing and publishing the edited product by the server;

[1965] A means to transmit and record what users say to the interactive generation AI in real time to a server, and

[1966] A means for the interactive generation AI to analyze the user's statements, generate an appropriate response, and send it back to the device.

[1967] A means for the terminal or server to generate a session ID based on the user's comments and responses and store the session ID in a database;

[1968] A system including:

[1969] (Claim 2)

[1970] The system of claim 1, wherein the interactive generation AI analyzes the user's statements and generates an appropriate response.

[1971] (Claim 3)

[1972] 10. The system of claim 1, wherein the user reviews the created story, painting, or music through a terminal and transmits the edited content to the server.

[1973] "Application Example 1"

[1974] (Claim 1)

[1975] means for accepting authentication information entered by a user at the terminal;

[1976] a means for authenticating a user by checking the user's authentication information against a database by the server;

[1977] A means for initiating a dialogue between the user and the interactive generation AI via the terminal;

[1978] A server is used to record the contents of the conversations and organize the contents of the conversations based on themes and timelines;

[1979] A server generates a story based on the organized content;

[1980] A server generates pictures and music based on the generated story.

[1981] a means for displaying the generated story, painting, or music to a user and accepting edits by the terminal;

[1982] a means for storing and publishing the edited product by the server;

[1983] A means for generating and displaying a virtual space based on the generated story;

[1984] A means for other users to share and experience virtual spaces;

[1985] A system including:

[1986] (Claim 2)

[1987] The system of claim 1, wherein the interactive generation AI analyzes the user's statements and generates an appropriate response.

[1988] (Claim 3)

[1989] The system according to claim 1, wherein the user checks the created story, painting, music, and virtual space through the terminal and transmits the edited content to the server.

[1990] "Example 2: Combining Emotion Engines"

[1991] (Claim 1)

[1992] means for accepting authentication information entered by a user at the terminal;

[1993] a means for authenticating a user by checking the user's authentication information against a database by the server;

[1994] A means for initiating a dialogue between the user and the interactive generation AI via the terminal;

[1995] A server is used to record the contents of the conversations and organize the contents of the conversations based on themes and timelines;

[1996] A server generates a story based on the organized content;

[1997] A server generates pictures and music based on the generated story.

[1998] a means for displaying the generated story, painting, or music to a user and accepting edits by the terminal;

[1999] a means for storing and publishing the edited product by the server;

[2000] The system includes an emotion engine that recognizes emotions from user statements.

[2001] (Claim 2)

[2002] The system of claim 1, wherein the interactive generation AI analyzes the user's statements and generates an appropriate response.

[2003] (Claim 3)

[2004] 10. The system of claim 1, wherein the user reviews the created story, painting, or music through a terminal and transmits the edited content to the server.

[2005] "Application example 2 when combining emotion engines"

[2006] (Claim 1)

[2007] means for accepting authentication information entered by a user at the terminal;

[2008] a means for authenticating a user by checking the user's authentication information against a database by the server;

[2009] A means for initiating a dialogue between the user and the interactive generation AI via the terminal;

[2010] A server is used to record the contents of the conversations and organize the contents of the conversations based on themes and timelines;

[2011] A server generates a story based on the organized content;

[2012] A server generates pictures and music based on the generated story.

[2013] a means for recognizing the user's emotions using an emotion recognition engine by the server and reflecting the emotions in the dialogue;

[2014] a means for displaying the generated story, painting, or music to a user and accepting edits by the terminal;

[2015] a means for storing and publishing the edited product by the server;

[2016] A system including:

[2017] (Claim 2)

[2018] The system of claim 1, including a means for the interactive generation AI to analyze the content of the user's statements and generate an appropriate response, and a means for the emotion recognition engine to recognize the user's emotions and reflect them in the response.

[2019] (Claim 3)

[2020] 10. The system of claim 1, further comprising means for a user to review the created story, painting, or music through the terminal and transmit the edited content to the server. [Explanation of symbols]

[2021] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for accepting authentication information entered by a user at the terminal; a means for authenticating a user by checking the user's authentication information against a database by the server; A means for initiating a dialogue between the user and the interactive generation AI via the terminal; A server is used to record the contents of the conversations and organize the contents of the conversations based on themes and timelines; A server generates a story based on the organized content; A server generates pictures and music based on the generated story. a means for displaying the generated story, painting, or music to a user and accepting edits by the terminal; a means for storing and publishing the edited product by the server; A system including:

2. The system of claim 1, wherein the interactive generation AI analyzes the content of the user's statements and generates an appropriate response.

3. 2. The system of claim 1, wherein the user reviews the created story, painting, or music through a terminal and transmits the edited content to the server.

Images