system

Abstract

We provide the system. [Solution] Means for receiving user input, A means of sending input to a generative AI, A means of receiving a response from a generative AI, A means of formatting the response and sending it back to the user, A means of saving conversation logs between the user and the generative AI, A system that includes means to make conversation logs accessible to specific third parties.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a conventional talk session with an idol, the idol himself / herself needs to participate directly, which requires a great deal of effort and time. Also, for fans to participate in the talk session, they depend on a physical location and a specific time, so the hurdle for participation is high. Furthermore, in a short face-to-face talk session, sufficient communication cannot be achieved, and there is a problem that the satisfaction of fans is low. These problems need to be solved from the viewpoints of reducing the burden on idols and improving the satisfaction of fans.

Means for Solving the Problems

[0005] To solve the above problems, the present invention provides a simulated talk session system with a generative AI using an avatar. This system includes means for receiving user input, means for transmitting input to the generative AI, means for receiving responses from the generative AI, means for formatting responses and sending them back to the user, means for saving conversation logs between the user and the generative AI, and means for making the conversation logs accessible to a specific third party. It also includes means for verifying the user's authentication information and authenticating access to the system, means for providing specific content to the authenticated user, and means for exchanging messages in real time while providing content. Furthermore, it includes means for transmitting specific contextual information to the generative AI based on a request from the user, and means for optimizing the response output by the generative AI based on the contextual information. This reduces the burden on idols to directly participate in talk sessions, and creates a system that allows fans to enjoy talking anytime, anywhere.

[0006] A "user" refers to an individual or group that uses the system and participates in a talk session.

[0007] "Input" refers to messages and commands that users send to the system during a talk session.

[0008] "Generative AI" refers to artificial intelligence systems that generate natural language responses based on user input.

[0009] "Response" refers to a natural language message created by a generative AI based on user input.

[0010] "Formatting" refers to converting the response received from a generative AI into a data format that can be appropriately displayed to the user.

[0011] A "conversation log" refers to a record of all messages exchanged between the user and the generative AI.

[0012] "Specific third parties" refers to any person or entity other than the user and system administrator that has permission to access the conversation logs.

[0013] "Authentication information" refers to unique identification data (e.g., user ID and password) used by a user when logging into a system.

[0014] A "talk session" refers to a series of processes that enable a user and a generative AI to exchange messages in real time.

[0015] "Contextual information" refers to data that allows generative AI to generate more appropriate responses based on additional information and settings related to user input.

[0016] "Optimization" refers to adjustments and improvements made to enhance the quality of responses output by generative AI.

[0017] "Specific content" refers to information and features provided to users who have been authenticated once. [Brief explanation of the drawing]

[0018] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7]It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0019] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0020] First, the language used in the following description will be explained.

[0021] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0022] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0023] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0024] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0026] [First Embodiment]

[0027] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0028] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0031] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0034] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0038] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0039] This invention is a system that simulates a talk session with an idol using an avatar and a generative AI. This system is characterized by the cooperation between the user terminal, the server, and the generative AI in order to facilitate smooth conversation between the user and the generative AI.

[0040] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[0041] (Login and talk session initialization)

[0042] User: The user launches the application and enters their login information.

[0043] Terminal: The terminal sends login information to the server.

[0044] Server: The server verifies login information and returns dashboard information to authenticated users.

[0045] User: The user selects a specific idol from the dashboard and starts a talk session.

[0046] When the chat session begins, users type messages in the application's chat window. For example, they might type "Hello, how are you?" and send it. This message is then sent from the device to the server.

[0047] (Sending and receiving messages)

[0048] User: The user types and sends a message in the chat window.

[0049] Terminal: The terminal sends the entered message to the server.

[0050] Server: The server receives user messages and sends them to the generative AI.

[0051] The generative AI generates a response based on the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then sent back to the server.

[0052] (Responding to a message)

[0053] Server: The server formats the response received from the generative AI and sends it to the terminal.

[0054] Terminal: The terminal receives a formatted response and displays it to the user.

[0055] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[0056] (Saving and accessing conversation logs)

[0057] Server: The server stores all conversation logs between the user and the generative AI in a database.

[0058] A specific third party: The idol themselves can later access this conversation log and review the content of their communication with fans.

[0059] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server. The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been a lot of fun!" and return this to the user.

[0060] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[0061] The following describes the processing flow.

[0062] Step 1:

[0063] User: Launch the application and proceed to the login screen.

[0064] Step 2:

[0065] User: Enter your authentication information (User ID, password) and press the login button.

[0066] Step 3:

[0067] Terminal: Sends the entered authentication information to the server.

[0068] Step 4:

[0069] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[0070] Step 5:

[0071] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[0072] Step 6:

[0073] Terminal: Sends the selected idle ID to the server.

[0074] Step 7:

[0075] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[0076] Step 8:

[0077] User: Type "Hello, how are you?" in the chat window and press the send button.

[0078] Step 9:

[0079] Terminal: Sends the user's message to the server as a request.

[0080] Step 10:

[0081] Server: Receives messages from users and identifies the corresponding talk session.

[0082] Step 11:

[0083] Server: Based on the message content and the idol's character data, it sends a request to the generative AI API.

[0084] Step 12:

[0085] Generative AI: Generates natural language responses based on user input and character data.

[0086] Step 13:

[0087] Generative AI: Returns a response to the server (e.g., "Hello! I'm fine. How about you?").

[0088] Step 14:

[0089] Server: Receives responses from the AI ​​and formats them for return to the user.

[0090] Step 15:

[0091] Server: Sends a formatted response to the user's terminal.

[0092] Step 16:

[0093] Terminal: Receives responses from the server and displays them in the chat window.

[0094] Step 17:

[0095] User: Confirm the displayed response and enter the next message. Repeat the flow of the conversation.

[0096] Step 18:

[0097] Server: Stores all conversations between the user and the generative AI in a database.

[0098] Step 19:

[0099] A specific third party: The idol accesses the conversation logs and checks the content of their communication with fans.

[0100] (Example 1)

[0101] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0102] In the modern entertainment industry, opportunities for idols and celebrities to interact directly with fans are limited, making it difficult to deepen relationships with them. Furthermore, face-to-face talk sessions and events face numerous challenges, including time and location constraints and the burden on organizers. Even in virtual communication using generative AI, the technology to enhance the user experience and achieve natural dialogue is insufficient, posing a challenge in improving user satisfaction.

[0103] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0104] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for storing a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for verifying the user's authentication information and authenticating access to the system, and means for providing specific content to the authenticated user, and includes means for generating a response based on the user's message using a generative AI model and displaying the response to the user. This enables virtual talk sessions with fans without the direct participation of idols or celebrities, allowing them to enjoy natural, real-time conversations anytime, anywhere. Furthermore, the stored conversation log allows a specific third party to later review the content of the communication with the fan, making it easier to obtain feedback and further deepen the relationship with the fan.

[0105] A "user" is an individual or group that uses the system and is the entity that performs input and operations.

[0106] A "server" is a computer device that processes requests from users, stores data, and communicates with generative AI systems.

[0107] A "terminal" is a device that a user uses to access and operate a system; examples include personal computers and smartphones.

[0108] "Generative AI" refers to artificial intelligence models that generate responses based on user input and engage in dialogue using natural language processing technology.

[0109] A "response" is a reply message that a generative AI generates in response to user input.

[0110] A "conversation log" is a record of conversations that take place between a user and a generative AI, and is saved for later reference.

[0111] "Specific third parties" refers to the idol themselves or administrators who have the authority to access the server and conversation logs.

[0112] "Authentication information" refers to information used to identify a user and grant them access to the system, and generally includes a user ID and password.

[0113] A "dashboard" is a screen that users access after logging in, providing an interface for accessing the system's main functions and information.

[0114] A "generative AI model" refers to the entire system, including algorithms and models, that receive input from a user and generate appropriate responses.

[0115] A "prompt message" is a text message, such as an instruction or question, that a user sends to a generative AI, and the generative AI generates a response based on its content.

[0116] This invention is a system for simulating talk sessions with idols and celebrities, and uses a generative AI model to facilitate smooth conversations between the user and the generative AI. The system is characterized by the cooperation of a user terminal, a server, and a generative AI.

[0117] Login and talk session initialization

[0118] The user launches a dedicated application and enters their login information (user ID and password). The device then sends this authentication information to the server. The server verifies the received login information, and if authentication is successful, sends dashboard information back to the user. This dashboard displays the user's profile information and notifications, and provides the option to select a specific idol to start a chat session.

[0119] Sending and receiving messages

[0120] The user types a message in the application's chat window. For example, they might type "Hello, how are you?" and click the send button. This message is sent from the device to the server. The server forwards the received message to a generative AI. The generative AI generates a response based on this message. The generated response might be something like, "Hello! I'm fine. How about you?" The server formats this response and resends it to the device. The device displays the formatted response to the user, who then types the next message to continue the conversation.

[0121] Saving and accessing conversation logs

[0122] All conversations are automatically saved by the server. The server stores all conversation logs between the user and the generative AI in a database. For example, database technologies such as MongoDB or MySQL® can be used. A specific third party, such as the idol themselves, can later access this database to review the content of their communication with fans.

[0123] Specific example

[0124] If a user types "Have you had anything fun happen recently?" during a talk session, this message is also sent to a generative AI via the server. The generative AI generates a response such as "I've recently started filming a new drama, and it's been a lot of fun!" and sends it back to the user. In this way, users can enjoy a virtual talk session with an idol in real time.

[0125] Example of a prompt

[0126] The following are some examples of specific prompt messages.

[0127] "Hello, how are you?"

[0128] "Have you had anything fun happen recently?"

[0129] "Do you have any movie recommendations?"

[0130] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[0131] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0132] Step 1:

[0133] The user launches a dedicated application and enters their login information.

[0134] (Enter: User ID and password)

[0135] (Output: Login information entry complete)

[0136] Specifically, the user opens the application's login screen and enters their user ID and password into the input fields.

[0137] Step 2:

[0138] The terminal sends the entered login information to the server.

[0139] (Enter: User ID and password)

[0140] (Output: Sending a request to the server)

[0141] The terminal collects the login information entered by the user into a packet and sends it to the server as an HTTP POST request.

[0142] Step 3:

[0143] The server verifies the received login information, and if authentication is successful, it sends the dashboard information back to the user.

[0144] (Enter: User ID and password)

[0145] (Output: Dashboard information)

[0146] The server verifies the user information in the database, and if authentication is successful, it generates dashboard information including the user's profile information and notifications, and sends it back to the terminal.

[0147] Step 4:

[0148] The user selects a specific idol from the dashboard and starts a talk session.

[0149] (Input: Dashboard)

[0150] (Output: Talk session start screen based on idol selection)

[0151] Users select an idol they are interested in on the dashboard and click the "Start Talk Session" button.

[0152] Step 5:

[0153] The user types a message in the chat window and sends it.

[0154] (Input: User's message)

[0155] (Output: Message sending request)

[0156] The user types a message such as "Hello, how are you?" into the chat window and presses the send button.

[0157] Step 6:

[0158] The terminal sends the entered message to the server.

[0159] (Input: User's message)

[0160] (Output: Message sent to the server)

[0161] The terminal converts the user's message into a packet as string data and sends it to the server as an HTTP POST request.

[0162] Step 7:

[0163] The server forwards the received message to the generative AI.

[0164] (Input: User's message)

[0165] (Output: Sending a message to a generative AI)

[0166] The server sends the received message data as a request to the generative AI's API, causing the AI ​​model to process the message.

[0167] Step 8:

[0168] Generative AI generates responses based on input messages.

[0169] (Input: User's message and idol's character settings)

[0170] (Output: Generated response message)

[0171] The generative AI generates response messages such as "Hello! I'm doing well. How about you?" based on the user's message and the idol's character setting.

[0172] Step 9:

[0173] The generative AI sends the generated response back to the server.

[0174] (Input: AI-generated response message)

[0175] (Output: Sending response to the server)

[0176] The generative AI sends the generated response message back to the server.

[0177] Step 10:

[0178] The server formats the response received from the generative AI and sends it to the terminal.

[0179] (Input: Response message from a generative AI)

[0180] (Output: Send a formatted response message)

[0181] The server formats the response message received from the generative AI into a user-friendly format and sends it to the terminal as an HTTP response.

[0182] Step 11:

[0183] The terminal displays a formatted response message to the user.

[0184] (Input: Formatted response message)

[0185] (Output: Display of response message to the user)

[0186] The device displays the received, formatted response message in the chat window in real time. The user reviews this message, enters their next message, and continues the conversation.

[0187] Step 12:

[0188] The server stores all conversation logs between the user and the generative AI in a database.

[0189] (Input: Conversation log)

[0190] (Output: Save conversation logs to database)

[0191] The server stores all message exchanges between the user and the generative AI in text format in a database, along with date and time information.

[0192] Step 13:

[0193] Certain third parties can access the conversation logs and review the content of communications with fans.

[0194] (Input: Request to check conversation log)

[0195] (Output: Providing conversation logs to third parties with access rights)

[0196] A specific third party, such as the idol themselves, can access the database and review the saved conversation logs. This allows them to understand the content of their interactions with fans and provide feedback.

[0197] (Application Example 1)

[0198] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0199] Traditional video content distribution services suffer from limited user-content interaction, resulting in a lack of immersion and real-time two-way communication in the viewing experience. Furthermore, there is a lack of means to enhance real-time engagement with specific video scenes, making it difficult for content providers to obtain immediate user feedback. This leads to decreased viewer satisfaction and engagement rates, and makes it challenging to build deeper relationships with fans.

[0200] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0201] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, and means for receiving responses from the generative AI. This enables the generative AI to generate responses in real time based on user messages in specific video content. By having means for displaying the generative AI's responses in synchronization with the video content, interaction between the user and the content is increased, improving the immersion of the viewing experience. Furthermore, because there are means for exchanging messages in real time during content delivery, immediate user feedback can be obtained, providing valuable insights for content providers.

[0202] A "user" refers to a person who interacts with content using an invented system.

[0203] "Input" refers to the act of a user sending text messages or other data to a system.

[0204] "Generative AI" refers to artificial intelligence that automatically generates appropriate responses based on user input.

[0205] A "response" is the answer that a generative AI generates in response to user input.

[0206] "Formatting" refers to the process of arranging the response returned by a generative AI into an appropriate format.

[0207] A "conversation log" is a record of messages exchanged between a user and a generative AI.

[0208] "Third party" refers to a separate user or administrator within the system who has the right to access the conversation log.

[0209] "Content" refers to digital media, especially videos, that users can view or interact with.

[0210] "Real-time" refers to a state where input and response occur instantly, with minimal delay.

[0211] "Synchronization" refers to the timing of video content and responses from generative AI.

[0212] This invention provides a system that enables real-time interaction between a generative AI and video content. This system operates in cooperation with a user terminal, a server, and the generative AI.

[0213] Users access the system using a smartphone application. Upon launching the application, a login screen appears, and the user enters their authentication information. The device sends this information to the server, which verifies the user's authentication. Once authentication is successful, the user can access the dashboard, select specific video content, and begin an interactive viewing experience.

[0214] While watching, users can type messages in the application's chat window. For example, if a user types and sends "This scene was so moving!", this message is sent from the device to the server. The server forwards this message to a generative AI. The generative AI generates a response in real time based on the context of the sent message and content. For example, it might generate a response like, "It was really moving, wasn't it? Who's your favorite character?" This response is returned to the server, which formats it and sends it to the device. The device receives the formatted response and displays it to the user. The user receives this in real time and can continue the conversation by typing the next message.

[0215] Furthermore, all conversations are automatically saved to the server. The saved conversation logs are accessible to specific third parties and can later be used by content providers to obtain feedback. This allows content providers to analyze user interactions and use that information to improve their content or plan new content.

[0216] The following hardware and software are required to implement this system. The hardware consists of a smartphone (compatible with iOS / ANDROID®) and a server. The software uses JavaScript® and Node.js for smartphone application development, and the OpenAI® API for generative AI.

[0217] For example, if a user enters "This scene was very moving!", the system will respond as follows:

[0218] Example of a prompt:

[0219] User: This scene was incredibly moving!

[0220] Avatar: It's really moving, isn't it? Who's your favorite character?

[0221] In this way, users can view content with a high degree of immersion, and a richer viewing experience can be provided through real-time interaction.

[0222] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0223] Step 1:

[0224] User authentication

[0225] The user launches the smartphone application and enters their authentication information on the login screen.

[0226] The device sends this authentication information to the server.

[0227] The server verifies the entered authentication information against the database and returns the dashboard information to the authenticated user.

[0228] Input: User authentication information (User ID, password)

[0229] Output: Dashboard information (notification of authentication success / failure)

[0230] Step 2:

[0231] Select content and get started

[0232] The user selects specific video content from the dashboard.

[0233] The terminal sends the user's selection information to the server.

[0234] The server streams the selected video content to the device.

[0235] Input: User content selection information

[0236] Output: Start streaming the selected video content.

[0237] Step 3:

[0238] Enter and send a message.

[0239] Users type messages in the chat window while watching a video.

[0240] The terminal sends the entered message to the server.

[0241] Input: User message (e.g., "This scene was incredibly moving!")

[0242] Output: Message sent from terminal to server

[0243] Step 4:

[0244] Response generation by generative AI

[0245] The server receives the user's message and sends it to the generative AI.

[0246] Generative AI generates responses based on prompt text.

[0247] Send the generated response back to the server.

[0248] Input: User message

[0249] Output: Response from a generative AI (Example: "That was really moving, wasn't it? Who's your favorite character?")

[0250] Step 5:

[0251] Response format and display

[0252] The server formats the response received from the generative AI.

[0253] Send a formatted response to the terminal.

[0254] The terminal displays the response in the chat window.

[0255] Input: Response from a generative AI

[0256] Output: Display of the formatted response to the user

[0257] Step 6:

[0258] Saving conversation logs

[0259] The server stores messages and responses exchanged between the user and the generative AI in a database.

[0260] Input: User message and generative AI response

[0261] Output: Save conversation logs to database

[0262] Step 7:

[0263] Third-party log access

[0264] A specific third party can log into the server and access the stored conversation logs.

[0265] The server will provide the requested conversation logs to a third party.

[0266] Input: Third-party login request

[0267] Output: Provide conversation logs

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

[0269] This invention is a system that simulates a talk session with an idol using an avatar, a generative AI, and an emotion recognition engine. This system analyzes the conversation between the user and the generative AI, recognizes the user's emotions, and reflects them in the response, thereby providing a more natural and satisfying talk experience.

[0270] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[0271] (Login and talk session initialization)

[0272] User: The user launches the application and enters their login information.

[0273] Terminal: The terminal sends login information to the server.

[0274] Server: The server verifies login information and returns dashboard information to authenticated users.

[0275] User: The user selects a specific idol from the dashboard and starts a talk session.

[0276] When the talk session begins, the user types a message in the application's chat window. For example, they might type and send "Hello, how are you?". This message is sent from the device to the server. Here, the emotion engine analyzes the user's message and recognizes their emotions.

[0277] (Message Sending / Receiving and Emotion Recognition)

[0278] User: The user inputs and sends messages in the chat window.

[0279] Terminal: The terminal sends the input message to the server.

[0280] Server: The server receives the user's message and analyzes the emotion using the emotion engine.

[0281] The generative AI generates a response based on the user's emotion information in addition to the sent message and the idle character settings. For example, the AI generates a response such as "Hello! I'm fine. How about you?" This response is returned to the server.

[0282] (Response Adjustment and Return)

[0283] Server: Reflecting the feedback from the emotion engine, the server adjusts the response received from the generative AI and converts it into an appropriate format.

[0284] Server: The server sends the formatted response to the user terminal.

[0285] Terminal: The terminal receives the formatted response and displays it to the user.

[0286] The user receives this in real-time, enters the next message, and continues the conversation. All conversations are automatically saved on the server.

[0287] (Conversation Log Saving and Emotion Information Utilization)

[0288] Server: The server saves all conversations between the user and the generative AI and the related emotion information in the database.

[0289] Specific third parties: These can access conversation logs and emotional information, and review the content of communications with fans.

[0290] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server, and the emotion engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[0291] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, by reflecting user emotional information, it can provide a more natural and satisfying conversation experience. The saved conversation logs and emotional information provide valuable feedback for idols to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[0292] The following describes the processing flow.

[0293] Step 1:

[0294] User: Launch the application and proceed to the login screen.

[0295] Step 2:

[0296] User: Enter your authentication information (User ID, password) and press the login button.

[0297] Step 3:

[0298] Terminal: Sends the entered authentication information to the server.

[0299] Step 4:

[0300] Server: Verify the authentication information and return the user's dashboard information if the authentication is successful.

[0301] Step 5:

[0302] User: Select the idle to participate from the dashboard and press the button to start the talk session.

[0303] Step 6:

[0304] Terminal: Send the selected idle ID to the server.

[0305] Step 7:

[0306] Server: Initialize the talk session based on the idle information and return the talk screen to the user's terminal.

[0307] Step 8:

[0308] User: Enter "Hello, how are you?" in the chat window and press the send button.

[0309] Step 9:

[0310] Terminal: Send the user's message to the server as a request. <00G0978>

[0311] Step 10:

[0312] Server: Receive the message from the user and start the response generation process.

[0313] Step 11:

[0314] Server: Pass the message to the emotion engine to recognize the user's emotion. For example, recognize "Neutral emotion" for "Hello, how are you?".

[0315] Step 12:

[0316] Server: Sends recognized emotion information and messages to the generative AI.

[0317] Step 13:

[0318] Generative AI: Generates natural language responses based on user input and recognized emotional information. Example: "Hello! I'm fine. How about you?"

[0319] Step 14:

[0320] Server: Receives responses from the AI ​​and formats them as needed.

[0321] Step 15:

[0322] Server: Sends a formatted response to the user's terminal.

[0323] Step 16:

[0324] Terminal: Receives responses from the server and displays them in the chat window.

[0325] Step 17:

[0326] User: Review the displayed response and enter the following message. For example, "Have you had anything fun happen recently?"

[0327] Step 18:

[0328] Terminal: Sends a new message to the server.

[0329] Step 19:

[0330] Server: Receives a new message and analyzes it using the emotion engine. Example: Recognizes the emotion "happy".

[0331] Step 20:

[0332] Server: Sends recognized emotion information and messages to the generative AI.

[0333] Step 21:

[0334] Generative AI: Generates the response, "I've recently started filming a new drama, and it's a lot of fun!"

[0335] Step 22:

[0336] Server: Receives the response from the AI, formats it, and sends it to the user's terminal.

[0337] Step 23:

[0338] Terminal: Displays the response shown in the chat window to the user.

[0339] Step 24:

[0340] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[0341] Step 25:

[0342] Specific third party: The idol accesses conversation logs and sentiment information to review the content of their communication with fans.

[0343] This processing flow allows users to enjoy a realistic communication experience with idols through avatars. Furthermore, the introduction of an emotion recognition engine ensures that the generated responses are more in line with the user's emotions, resulting in a more natural and satisfying dialogue.

[0344] (Example 2)

[0345] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0346] Traditional systems had problems with user-character conversations being limited to simple responses, making it difficult to recognize and reflect emotions in the responses. Furthermore, there were insufficient means to effectively store user conversation logs and prevent unauthorized access by specific third parties, making it impossible to provide a natural, real-time conversation experience. In addition, traditional systems had inadequate user authentication and security, highlighting the need for improved user experience.

[0347] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0348] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for analyzing the user's emotions with an emotion recognition engine, means for receiving a response from the generative AI and generating a response that reflects the emotional information, means for formatting the response and sending it back to the user, means for storing conversation logs and emotional information between the user and the generative AI, and means for making the stored conversation logs and emotional information accessible to a specific third party. This enables a natural and highly satisfying conversation experience that reflects the user's emotions. Furthermore, the stored conversation logs and emotional information allow a specific third party to review the content of communication with fans, enabling the idol to receive effective feedback. In addition, a secure authentication process is provided by means for verifying the user's authentication information and authenticating access to the system.

[0349] A "user" is an individual or group that uses the system to enjoy conversations.

[0350] "Input" refers to information that a user provides to the system, such as text messages or authentication information.

[0351] "Generative AI" is a general term for artificial intelligence technologies that generate appropriate responses based on input information.

[0352] An "emotion recognition engine" is a software module that analyzes user input and recognizes their emotional state.

[0353] "Response" refers to text or information generated by a generative AI based on user input.

[0354] "Formatting" refers to the process of arranging a response into a format that the user needs to receive appropriately.

[0355] A "conversation log" is data that records all conversation history between the user and the generative AI.

[0356] "Emotional information" refers to data that indicates the user's emotional state, as analyzed by an emotion recognition engine.

[0357] "Specific third parties" refers to individuals or organizations that have the authority to access, analyze, and verify conversation logs and sentiment information.

[0358] "Authentication information" refers to information such as usernames and passwords that users use to access the system.

[0359] "Content" is a general term for the information and services that a system provides to its users.

[0360] "Contextual information" refers to information related to a specific situation or context, and is used by generative AI to optimize responses.

[0361] This invention is a system that allows users to virtually experience a talk session with an idol using a dedicated application. This system utilizes generative AI and an emotion recognition engine to analyze the user's emotions and provide a more natural conversational experience. The entire system consists of three main components: a user terminal, a server, generative AI, and an emotion recognition engine.

[0362] The user first launches a dedicated application and enters their login information. The terminal sends the user's entered authentication information to the server, which verifies the information. If authentication is successful, the server sends dashboard information back to the user. The user selects a specific idol from the dashboard and starts a chat session.

[0363] When the talk session begins, the user types a message in the chat window and sends it. For example, they might type, "Hello, how are you?" This message is sent from the terminal to the server. The server receives the message and passes it to the emotion recognition engine for analysis. The emotion recognition engine recognizes the user's emotions and sends the analysis results to the generative AI. The generative AI generates the optimal response based on the emotional information and the idol's character setting. For example, it might generate a response like, "Hello! I'm fine. How about you?"

[0364] The server converts the generated response into the appropriate format and sends it to the user's terminal. The terminal receives this response and displays it in the chat window. The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved by the server.

[0365] The saved conversation logs and sentiment information are accessible to the idol themselves and their management, and are used to review the content of their communication with fans. This allows for a deeper relationship between the idol and their fans, providing a natural and satisfying conversation experience.

[0366] Furthermore, the system includes mechanisms for verifying user authentication information, providing a secure authentication process. This allows users to use the system with peace of mind.

[0367] For example, if a user types "Have you had anything fun happen recently?", this message is sent to a generative AI via the server, and the emotion recognition engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[0368] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, it enables responses that reflect the user's emotional information, providing a more natural and satisfying conversational experience.

[0369] Example of a prompt:

[0370] "how are you?"

[0371] "Have you had anything fun happen recently?"

[0372] The above describes a specific embodiment of the present invention. This system allows users to enjoy natural conversations anytime, anywhere, and the stored conversation logs and emotional information can be used to provide valuable feedback to the idol themselves, helping them to deepen their communication with fans.

[0373] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0374] Step 1: Enter and submit login information.

[0375] User: The user launches the dedicated application and enters their login information (username and password).

[0376] Input: Username and password

[0377] Output: Login information data

[0378] Specific action: The user enters "user@example.com" and "password123".

[0379] Terminal: The terminal sends the entered login information to the server.

[0380] Input: Login information data

[0381] Output: HTTP request to the server

[0382] Specific operation: Send authentication information to the server using the HTTPS protocol.

[0383] Step 2: Authentication process and return of dashboard information

[0384] Server: The server compares the received authentication information with the database and verifies the authentication result. If authentication is successful, it sends the dashboard information to the terminal.

[0385] Input: Login information sent to the server

[0386] Output: Authentication results and dashboard information

[0387] Specific operation: The server compares the information with that in the database, generates a message indicating authentication success or failure, and prepares dashboard information if successful.

[0388] Terminal: The terminal displays dashboard information received from the server to the user.

[0389] Input: Dashboard information from the server

[0390] Output: Displayed on the user interface

[0391] Specific action: Displays a list of available idle users on the dashboard screen.

[0392] Step 3: Start the talk session

[0393] User: The user selects a specific idol from the dashboard and sends a request to start a talk session.

[0394] Input: Selected idol information

[0395] Output: Talk session start request

[0396] Specific action: The user selects Idol A and presses the "Start Talk Session" button.

[0397] Terminal: The terminal sends a request to the server to start a talk session.

[0398] Input: Request to start talk session

[0399] Output: Request to the server

[0400] Specific action: Send a request to the server.

[0401] Server: The server performs the talk session initialization process and sends an initialization complete message to the terminal.

[0402] Input: Request to start talk session

[0403] Output: Initialization complete message

[0404] Specific actions: Generate a session ID and load idle data.

[0405] Step 4: Enter and send your message

[0406] User: The user types a message in the chat window and clicks the send button.

[0407] Input: User-input message (e.g., "Hello, how are you?")

[0408] Output: Message data

[0409] Specific action: Type "Hello, how are you?" into the chat window and send it.

[0410] Terminal: The terminal sends the entered message to the server.

[0411] Input: Message data

[0412] Output: HTTP request to the server

[0413] Specific action: Send message data to the server.

[0414] Step 5: Emotion Recognition and Response Generation

[0415] Server: The server passes the received message to the emotion recognition engine, which analyzes the user's emotions. The analysis results are then passed to the generative AI to generate a response.

[0416] Input: Received message data

[0417] Output: Analysis data and response data for the generative AI

[0418] Specific operation: The emotion recognition engine analyzes "Hello, how are you?" and recognizes the emotion "I'm fine." The generative AI generates the response "Hello! I'm fine. How about you?"

[0419] Step 6: Response format and return

[0420] Server: The server converts the generated response into the appropriate format and sends it to the user's terminal.

[0421] Input: Generated response data

[0422] Output: Formatted response data

[0423] Specific operation: Convert the response data to JSON format and send it to the terminal via the HTTPS protocol.

[0424] Terminal: The terminal receives the formatted response and displays it in the chat window.

[0425] Input: Formatted response data

[0426] Output: Display on the user interface

[0427] Specific action: Display "Hi! I'm fine. How about you?" in the chat window.

[0428] Step 7: Saving the conversation log

[0429] Server: The server stores all conversations and their associated emotional information in a database.

[0430] Input: Message data and sentiment information

[0431] Output: Data to be saved to the database

[0432] Specific action: Save messages and sentiment information to a database in chronological order.

[0433] Step 8: Third-party access

[0434] Specific third parties: Idols and management access saved conversation logs and sentiment information to review the content of their communication with fans.

[0435] Input: Saved conversation logs and sentiment information

[0436] Output: Display data accessible to third parties

[0437] Specific actions: Search and display conversation logs and sentiment information in the administration panel.

[0438] (Application Example 2)

[0439] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0440] Existing content distribution services offer limited opportunities for users to directly interact with idols and celebrities, and a particular challenge is obtaining responses that reflect their emotions. Furthermore, traditional systems struggle to balance real-time interaction with a natural conversational experience, leaving room for improvement in terms of user satisfaction. Additionally, the burden on idols themselves to directly participate in talk events is significant, highlighting the need for new methods to achieve efficient and effective interaction with fans.

[0441] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for saving a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for analyzing the user's emotions using an emotion recognition engine, means for the generative AI to generate a response based on the analyzed emotion information, and means for displaying the response as an avatar facial expression simulation. As a result, the user can enjoy natural conversations that reflect emotions through an avatar, reducing the burden on the idol themselves while enabling efficient and effective interaction with fans.

[0442] "Means of receiving user input" refers to functions that acquire text messages or voice data entered by the user.

[0443] "Means for sending input to a generative AI" refers to a function that transfers the received user input data to a generative AI.

[0444] "Means for receiving responses from generative AI" refers to a function that receives responses created by generative AI.

[0445] "Means of formatting and returning responses to the user" refers to a function that converts responses received from generative AI into an appropriate format for display to the user and then sends them.

[0446] "Means for saving conversation logs between users and generative AI" refers to a function that records all conversations that take place between users and generative AI and saves them for future use.

[0447] "Means of making conversation logs accessible to specific third parties" refers to a function that allows authorized third parties to view and use recorded conversation logs.

[0448] "Means of analyzing a user's emotions using an emotion recognition engine" refers to a function that automatically analyzes a user's emotions from their input data.

[0449] "A means by which a generative AI generates a response based on analyzed emotional information" refers to a function that generates an appropriate response for the user based on the analyzed emotional information.

[0450] "Means of displaying responses as avatar facial expression simulations" refers to a function that simulates and displays the facial expressions and movements of an avatar in order to visually represent the generated responses.

[0451] This invention is a system that simulates a talk session with an idol, and is configured to allow users to have a natural and highly satisfying conversation experience using an emotion recognition engine and generative AI.

[0452] Specifically, the system of the present invention operates in the following procedure.

[0453] System Overview

[0454] 1. User: The user launches the dedicated application and enters their login information.

[0455] 2. Terminal: The terminal sends login information to the server, and the server performs the authentication process.

[0456] 3. Server: The server returns dashboard information to the authenticated user, and the user selects a specific idol to start a talk session.

[0457] 4. User: The user types and sends a message in the chat window within the application.

[0458] Message processing and sentiment analysis

[0459] 1. Terminal: The terminal sends the entered message to the server.

[0460] 2. Server: The server receives user messages and analyzes them using an emotion recognition engine. The emotion recognition engine used is Transformers' Pipeline.

[0461] 3. Generative AI: Emotional information and message content are sent to the generative AI as a prompt, and an appropriate response is generated.

[0462] Response generation and display

[0463] 1. Generative AI: The generated response is returned to the server.

[0464] 2. Server: The server formats the received response and sends it to the terminal.

[0465] 3. Terminal: The terminal displays a formatted response to the user, and simultaneously displays it visually as an avatar facial expression simulation. OpenCV will be used as the software.

[0466] Saving and using conversation logs

[0467] 1. Server: Stores conversation logs and emotional information from interactions between the user and the generative AI in a database.

[0468] 2. Specific third parties: Specific third parties can access conversation logs and sentiment information, and review the content of communications with fans.

[0469] Specific example

[0470] If a user types "Hello, I'm a little tired today," the message is sent to the server. The server uses an emotion recognition engine to analyze the emotion of "tiredness" and sends it to a generative AI as a prompt. Based on this, the generative AI generates a response such as "You must be tired. Is there a particular reason why you're tired today?" This response is displayed to the user along with the avatar's facial expression.

[0471] Example of a prompt:

[0472] User's message: Hi, I'm a little tired today.

[0473] Emotion: Fatigue

[0474] response:

[0475] Thus, this invention provides users with a natural conversational experience that reflects their emotions, reduces the burden on the idol themselves, and enables efficient and effective interaction with fans.

[0476] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0477] Step 1:

[0478] The user launches a dedicated application and enters their login information. This information (such as user ID and password) is used for login authentication.

[0479] Step 2:

[0480] The terminal receives the user's login information and sends it to the server. The server compares this information with the authentication database and returns the authentication result. The input data is the user ID and password, and the output data is the success or failure of the authentication.

[0481] Step 3:

[0482] If the server successfully authenticates, it sends dashboard information back to the user. The user selects a specific idol from this dashboard and starts a chat session. The input data is the authentication result, and the output data is the dashboard information.

[0483] Step 4:

[0484] The user selects an "idle" from the dashboard, types a message in the chat window, and sends it. An example message might be "Hi, how are you?"

[0485] Step 5:

[0486] The terminal receives the input message and sends it to the server. The input data is the user's message, and the output data is the message sent to the server.

[0487] Step 6:

[0488] The server receives a user's message and analyzes its emotion using an emotion recognition engine (Transformers Pipeline). The input data is the user's message, and the result of the emotion analysis is emotion information such as "joy" or "sadness." The output data is the analyzed emotion information.

[0489] Step 7:

[0490] The server sends emotion information and the user's message as a prompt to the generative AI. For example, the prompt might be in the format: "User's message: Hello, I'm a little tired today Emotion: Tired Response:". The generative AI generates a response based on this. The input data is the prompt, and the output data is the AI-generated response.

[0491] Step 8:

[0492] A generative AI generates a response based on the user's emotional information and input message, and sends it back to the server. The output data is the generated response.

[0493] Step 9:

[0494] The server formats the received response and sends it to the terminal. The input data is the response received from the generative AI, and the output data is the formatted response.

[0495] Step 10:

[0496] The terminal receives a formatted response and displays it to the user. Simultaneously, actions are performed to display an avatar's facial expression simulation. The input data consists of the formatted response and avatar instructions, while the output data consists of the response and the avatar's visual representation displayed to the user.

[0497] Step 11:

[0498] The server stores all conversation logs and their corresponding emotional information between the user and the generative AI in a database. The input data consists of the conversation content and emotional information, while the output data consists of the stored logs.

[0499] Step 12:

[0500] A specific third party, with authorization, can access conversation logs and sentiment information to review the content of communication with fans. The input data is the access request of the specific third party, and the output data is the viewable conversation logs.

[0501] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0502] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0503] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0504] [Second Embodiment]

[0505] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0506] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0507] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0508] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0509] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0510] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0511] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0512] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0513] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0514] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0515] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0516] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0517] This invention is a system that simulates a talk session with an idol using an avatar and a generative AI. This system is characterized by the cooperation between the user terminal, the server, and the generative AI in order to facilitate smooth conversation between the user and the generative AI.

[0518] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[0519] (Login and talk session initialization)

[0520] User: The user launches the application and enters their login information.

[0521] Terminal: The terminal sends login information to the server.

[0522] Server: The server verifies login information and returns dashboard information to authenticated users.

[0523] User: The user selects a specific idol from the dashboard and starts a talk session.

[0524] When the chat session begins, users type messages in the application's chat window. For example, they might type "Hello, how are you?" and send it. This message is then sent from the device to the server.

[0525] (Sending and receiving messages)

[0526] User: The user types and sends a message in the chat window.

[0527] Terminal: The terminal sends the entered message to the server.

[0528] Server: The server receives user messages and sends them to the generative AI.

[0529] The generative AI generates a response based on the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then sent back to the server.

[0530] (Responding to a message)

[0531] Server: The server formats the response received from the generative AI and sends it to the terminal.

[0532] Terminal: The terminal receives a formatted response and displays it to the user.

[0533] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[0534] (Saving and accessing conversation logs)

[0535] Server: The server stores all conversation logs between the user and the generative AI in a database.

[0536] A specific third party: The idol themselves can later access this conversation log and review the content of their communication with fans.

[0537] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server. The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been a lot of fun!" and return this to the user.

[0538] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[0539] The following describes the processing flow.

[0540] Step 1:

[0541] User: Launch the application and proceed to the login screen.

[0542] Step 2:

[0543] User: Enter your authentication information (User ID, password) and press the login button.

[0544] Step 3:

[0545] Terminal: Sends the entered authentication information to the server.

[0546] Step 4:

[0547] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[0548] Step 5:

[0549] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[0550] Step 6:

[0551] Terminal: Sends the selected idle ID to the server.

[0552] Step 7:

[0553] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[0554] Step 8:

[0555] User: Type "Hello, how are you?" in the chat window and press the send button.

[0556] Step 9:

[0557] Terminal: Sends the user's message to the server as a request.

[0558] Step 10:

[0559] Server: Receives messages from users and identifies the corresponding talk session.

[0560] Step 11:

[0561] Server: Based on the message content and the idol's character data, it sends a request to the generative AI API.

[0562] Step 12:

[0563] Generative AI: Generates natural language responses based on user input and character data.

[0564] Step 13:

[0565] Generative AI: Returns a response to the server (e.g., "Hello! I'm fine. How about you?").

[0566] Step 14:

[0567] Server: Receives responses from the AI ​​and formats them for return to the user.

[0568] Step 15:

[0569] Server: Sends a formatted response to the user's terminal.

[0570] Step 16:

[0571] Terminal: Receives responses from the server and displays them in the chat window.

[0572] Step 17:

[0573] User: Confirm the displayed response and enter the next message. Repeat the flow of the conversation.

[0574] Step 18:

[0575] Server: Stores all conversations between the user and the generative AI in a database.

[0576] Step 19:

[0577] A specific third party: The idol accesses the conversation logs and checks the content of their communication with fans.

[0578] (Example 1)

[0579] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0580] In the modern entertainment industry, opportunities for idols and celebrities to interact directly with fans are limited, making it difficult to deepen relationships with them. Furthermore, face-to-face talk sessions and events face numerous challenges, including time and location constraints and the burden on organizers. Even in virtual communication using generative AI, the technology to enhance the user experience and achieve natural dialogue is insufficient, posing a challenge in improving user satisfaction.

[0581] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0582] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for storing a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for verifying the user's authentication information and authenticating access to the system, and means for providing specific content to the authenticated user, and includes means for generating a response based on the user's message using a generative AI model and displaying the response to the user. This enables virtual talk sessions with fans without the direct participation of idols or celebrities, allowing them to enjoy natural, real-time conversations anytime, anywhere. Furthermore, the stored conversation log allows a specific third party to later review the content of the communication with the fan, making it easier to obtain feedback and further deepen the relationship with the fan.

[0583] A "user" is an individual or group that uses the system and is the entity that performs input and operations.

[0584] A "server" is a computer device that processes requests from users, stores data, and communicates with generative AI systems.

[0585] A "terminal" is a device that a user uses to access and operate a system; examples include personal computers and smartphones.

[0586] "Generative AI" refers to artificial intelligence models that generate responses based on user input and engage in dialogue using natural language processing technology.

[0587] A "response" is a reply message that a generative AI generates in response to user input.

[0588] A "conversation log" is a record of conversations that take place between a user and a generative AI, and is saved for later reference.

[0589] "Specific third parties" refers to the idol themselves or administrators who have the authority to access the server and conversation logs.

[0590] "Authentication information" refers to information used to identify a user and grant them access to the system, and generally includes a user ID and password.

[0591] A "dashboard" is a screen that users access after logging in, providing an interface for accessing the system's main functions and information.

[0592] A "generative AI model" refers to the entire system, including algorithms and models, that receive input from a user and generate appropriate responses.

[0593] A "prompt message" is a text message, such as an instruction or question, that a user sends to a generative AI, and the generative AI generates a response based on its content.

[0594] This invention is a system for simulating talk sessions with idols and celebrities, and uses a generative AI model to facilitate smooth conversations between the user and the generative AI. The system is characterized by the cooperation of a user terminal, a server, and a generative AI.

[0595] Login and talk session initialization

[0596] The user launches a dedicated application and enters their login information (user ID and password). The device then sends this authentication information to the server. The server verifies the received login information, and if authentication is successful, sends dashboard information back to the user. This dashboard displays the user's profile information and notifications, and provides the option to select a specific idol to start a chat session.

[0597] Sending and receiving messages

[0598] The user types a message in the application's chat window. For example, they might type "Hello, how are you?" and click the send button. This message is sent from the device to the server. The server forwards the received message to a generative AI. The generative AI generates a response based on this message. The generated response might be something like, "Hello! I'm fine. How about you?" The server formats this response and resends it to the device. The device displays the formatted response to the user, who then types the next message to continue the conversation.

[0599] Saving and accessing conversation logs

[0600] All conversations are automatically saved by the server. The server stores all conversation logs between the user and the generative AI in a database. For example, database technologies such as MongoDB or MySQL can be used. A specific third party, such as the idol themselves, can later access this database to review the content of their communication with fans.

[0601] Specific example

[0602] If a user types "Have you had anything fun happen recently?" during a talk session, this message is also sent to a generative AI via the server. The generative AI generates a response such as "I've recently started filming a new drama, and it's been a lot of fun!" and sends it back to the user. In this way, users can enjoy a virtual talk session with an idol in real time.

[0603] Example of a prompt

[0604] The following are some examples of specific prompt messages.

[0605] "Hello, how are you?"

[0606] "Have you had anything fun happen recently?"

[0607] "Do you have any movie recommendations?"

[0608] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[0609] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0610] Step 1:

[0611] The user launches a dedicated application and enters their login information.

[0612] (Enter: User ID and password)

[0613] (Output: Login information entry complete)

[0614] Specifically, the user opens the application's login screen and enters their user ID and password into the input fields.

[0615] Step 2:

[0616] The terminal sends the entered login information to the server.

[0617] (Enter: User ID and password)

[0618] (Output: Sending a request to the server)

[0619] The terminal collects the login information entered by the user into a packet and sends it to the server as an HTTP POST request.

[0620] Step 3:

[0621] The server verifies the received login information, and if authentication is successful, it sends the dashboard information back to the user.

[0622] (Enter: User ID and password)

[0623] (Output: Dashboard information)

[0624] The server verifies the user information in the database, and if authentication is successful, it generates dashboard information including the user's profile information and notifications, and sends it back to the terminal.

[0625] Step 4:

[0626] The user selects a specific idol from the dashboard and starts a talk session.

[0627] (Input: Dashboard)

[0628] (Output: Talk session start screen based on idol selection)

[0629] Users select an idol they are interested in on the dashboard and click the "Start Talk Session" button.

[0630] Step 5:

[0631] The user types a message in the chat window and sends it.

[0632] (Input: User's message)

[0633] (Output: Message sending request)

[0634] The user types a message such as "Hello, how are you?" into the chat window and presses the send button.

[0635] Step 6:

[0636] The terminal sends the entered message to the server.

[0637] (Input: User's message)

[0638] (Output: Message sent to the server)

[0639] The terminal converts the user's message into a packet as string data and sends it to the server as an HTTP POST request.

[0640] Step 7:

[0641] The server forwards the received message to the generative AI.

[0642] (Input: User's message)

[0643] (Output: Sending a message to a generative AI)

[0644] The server sends the received message data as a request to the generative AI's API, causing the AI ​​model to process the message.

[0645] Step 8:

[0646] Generative AI generates responses based on input messages.

[0647] (Input: User's message and idol's character settings)

[0648] (Output: Generated response message)

[0649] The generative AI generates response messages such as "Hello! I'm doing well. How about you?" based on the user's message and the idol's character setting.

[0650] Step 9:

[0651] The generative AI sends the generated response back to the server.

[0652] (Input: AI-generated response message)

[0653] (Output: Sending response to the server)

[0654] The generative AI sends the generated response message back to the server.

[0655] Step 10:

[0656] The server formats the response received from the generative AI and sends it to the terminal.

[0657] (Input: Response message from a generative AI)

[0658] (Output: Send a formatted response message)

[0659] The server formats the response message received from the generative AI into a user-friendly format and sends it to the terminal as an HTTP response.

[0660] Step 11:

[0661] The terminal displays a formatted response message to the user.

[0662] (Input: Formatted response message)

[0663] (Output: Display of response message to the user)

[0664] The device displays the received, formatted response message in the chat window in real time. The user reviews this message, enters their next message, and continues the conversation.

[0665] Step 12:

[0666] The server stores all conversation logs between the user and the generative AI in a database.

[0667] (Input: Conversation log)

[0668] (Output: Save conversation logs to database)

[0669] The server stores all message exchanges between the user and the generative AI in text format in a database, along with date and time information.

[0670] Step 13:

[0671] Certain third parties can access the conversation logs and review the content of communications with fans.

[0672] (Input: Request to check conversation log)

[0673] (Output: Providing conversation logs to third parties with access rights)

[0674] A specific third party, such as the idol themselves, can access the database and review the saved conversation logs. This allows them to understand the content of their interactions with fans and provide feedback.

[0675] (Application Example 1)

[0676] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0677] Traditional video content distribution services suffer from limited user-content interaction, resulting in a lack of immersion and real-time two-way communication in the viewing experience. Furthermore, there is a lack of means to enhance real-time engagement with specific video scenes, making it difficult for content providers to obtain immediate user feedback. This leads to decreased viewer satisfaction and engagement rates, and makes it challenging to build deeper relationships with fans.

[0678] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0679] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, and means for receiving responses from the generative AI. This enables the generative AI to generate responses in real time based on user messages in specific video content. By having means for displaying the generative AI's responses in synchronization with the video content, interaction between the user and the content is increased, improving the immersion of the viewing experience. Furthermore, because there are means for exchanging messages in real time during content delivery, immediate user feedback can be obtained, providing valuable insights for content providers.

[0680] A "user" refers to a person who interacts with content using an invented system.

[0681] "Input" refers to the act of a user sending text messages or other data to a system.

[0682] "Generative AI" refers to artificial intelligence that automatically generates appropriate responses based on user input.

[0683] A "response" is the answer that a generative AI generates in response to user input.

[0684] "Formatting" refers to the process of arranging the response returned by a generative AI into an appropriate format.

[0685] A "conversation log" is a record of messages exchanged between a user and a generative AI.

[0686] "Third party" refers to a separate user or administrator within the system who has the right to access the conversation log.

[0687] "Content" refers to digital media, especially videos, that users can view or interact with.

[0688] "Real-time" refers to a state where input and response occur instantly, with minimal delay.

[0689] "Synchronization" refers to the timing of video content and responses from generative AI.

[0690] This invention provides a system that enables real-time interaction between a generative AI and video content. This system operates in cooperation with a user terminal, a server, and the generative AI.

[0691] Users access the system using a smartphone application. Upon launching the application, a login screen appears, and the user enters their authentication information. The device sends this information to the server, which verifies the user's authentication. Once authentication is successful, the user can access the dashboard, select specific video content, and begin an interactive viewing experience.

[0692] While watching, users can type messages in the application's chat window. For example, if a user types and sends "This scene was so moving!", this message is sent from the device to the server. The server forwards this message to a generative AI. The generative AI generates a response in real time based on the context of the sent message and content. For example, it might generate a response like, "It was really moving, wasn't it? Who's your favorite character?" This response is returned to the server, which formats it and sends it to the device. The device receives the formatted response and displays it to the user. The user receives this in real time and can continue the conversation by typing the next message.

[0693] Furthermore, all conversations are automatically saved to the server. The saved conversation logs are accessible to specific third parties and can later be used by content providers to obtain feedback. This allows content providers to analyze user interactions and use that information to improve their content or plan new content.

[0694] The following hardware and software are required to implement this system. The hardware consists of a smartphone (iOS / Android compatible) and a server. The software uses JavaScript and Node.js for smartphone application development, and the OpenAI API for generative AI.

[0695] For example, if a user enters "This scene was very moving!", the system will respond as follows:

[0696] Example of a prompt:

[0697] User: This scene was incredibly moving!

[0698] Avatar: It's really moving, isn't it? Who's your favorite character?

[0699] In this way, users can view content with a high degree of immersion, and a richer viewing experience can be provided through real-time interaction.

[0700] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0701] Step 1:

[0702] User authentication

[0703] The user launches the smartphone application and enters their authentication information on the login screen.

[0704] The device sends this authentication information to the server.

[0705] The server verifies the entered authentication information against the database and returns the dashboard information to the authenticated user.

[0706] Input: User authentication information (User ID, password)

[0707] Output: Dashboard information (notification of authentication success / failure)

[0708] Step 2:

[0709] Select content and get started

[0710] The user selects specific video content from the dashboard.

[0711] The terminal sends the user's selection information to the server.

[0712] The server streams the selected video content to the device.

[0713] Input: User content selection information

[0714] Output: Start streaming the selected video content.

[0715] Step 3:

[0716] Enter and send a message.

[0717] Users type messages in the chat window while watching a video.

[0718] The terminal sends the entered message to the server.

[0719] Input: User message (e.g., "This scene was incredibly moving!")

[0720] Output: Message sent from terminal to server

[0721] Step 4:

[0722] Response generation by generative AI

[0723] The server receives the user's message and sends it to the generative AI.

[0724] Generative AI generates responses based on prompt text.

[0725] Send the generated response back to the server.

[0726] Input: User message

[0727] Output: Response from a generative AI (Example: "That was really moving, wasn't it? Who's your favorite character?")

[0728] Step 5:

[0729] Response format and display

[0730] The server formats the response received from the generative AI.

[0731] Send a formatted response to the terminal.

[0732] The terminal displays the response in the chat window.

[0733] Input: Response from a generative AI

[0734] Output: Display of the formatted response to the user

[0735] Step 6:

[0736] Saving conversation logs

[0737] The server stores messages and responses exchanged between the user and the generative AI in a database.

[0738] Input: User message and generative AI response

[0739] Output: Save conversation logs to database

[0740] Step 7:

[0741] Third-party log access

[0742] A specific third party can log into the server and access the stored conversation logs.

[0743] The server will provide the requested conversation logs to a third party.

[0744] Input: Third-party login request

[0745] Output: Provide conversation logs

[0746] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0747] This invention is a system that simulates a talk session with an idol using an avatar, a generative AI, and an emotion recognition engine. This system analyzes the conversation between the user and the generative AI, recognizes the user's emotions, and reflects them in the response, thereby providing a more natural and satisfying talk experience.

[0748] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[0749] (Login and talk session initialization)

[0750] User: The user launches the application and enters their login information.

[0751] Terminal: The terminal sends login information to the server.

[0752] Server: The server verifies login information and returns dashboard information to authenticated users.

[0753] User: The user selects a specific idol from the dashboard and starts a talk session.

[0754] When the talk session begins, the user types a message in the application's chat window. For example, they might type and send "Hello, how are you?". This message is sent from the device to the server. Here, the emotion engine analyzes the user's message and recognizes their emotions.

[0755] (Sending and receiving messages and recognizing emotions)

[0756] User: The user types and sends a message in the chat window.

[0757] Terminal: The terminal sends the entered message to the server.

[0758] Server: The server receives user messages and analyzes the emotions using an emotion engine.

[0759] Generative AI generates responses based on the user's emotional information, in addition to the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then returned to the server.

[0760] (Adjusting and returning the response)

[0761] Server: It adjusts the responses received from the generative AI, taking into account feedback from the emotion engine, and converts them into an appropriate format.

[0762] Server: Sends a formatted response to the user's terminal.

[0763] Terminal: The terminal receives the formatted response and displays it to the user.

[0764] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[0765] (Saving conversation logs and using sentiment information)

[0766] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[0767] Specific third parties: These can access conversation logs and emotional information, and review the content of communications with fans.

[0768] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server, and the emotion engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[0769] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, by reflecting user emotional information, it can provide a more natural and satisfying conversation experience. The saved conversation logs and emotional information provide valuable feedback for idols to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[0770] The following describes the processing flow.

[0771] Step 1:

[0772] User: Launch the application and proceed to the login screen.

[0773] Step 2:

[0774] User: Enter your authentication information (User ID, password) and press the login button.

[0775] Step 3:

[0776] Terminal: Sends the entered authentication information to the server.

[0777] Step 4:

[0778] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[0779] Step 5:

[0780] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[0781] Step 6:

[0782] Terminal: Sends the selected idle ID to the server.

[0783] Step 7:

[0784] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[0785] Step 8:

[0786] User: Type "Hello, how are you?" in the chat window and press the send button.

[0787] Step 9:

[0788] Terminal: Sends the user's message to the server as a request.

[0789] Step 10:

[0790] Server: Receives a message from the user and starts the response generation process.

[0791] Step 11:

[0792] Server: Passes the message to the emotion engine and recognizes the user's emotion. For example, it might classify "Hello, how are you?" as having a "neutral emotion."

[0793] Step 12:

[0794] Server: Sends recognized emotion information and messages to the generative AI.

[0795] Step 13:

[0796] Generative AI: Generates natural language responses based on user input and recognized emotional information. Example: "Hello! I'm fine. How about you?"

[0797] Step 14:

[0798] Server: Receives responses from the AI ​​and formats them as needed.

[0799] Step 15:

[0800] Server: Sends a formatted response to the user's terminal.

[0801] Step 16:

[0802] Terminal: Receives responses from the server and displays them in the chat window.

[0803] Step 17:

[0804] User: Review the displayed response and enter the following message. For example, "Have you had anything fun happen recently?"

[0805] Step 18:

[0806] Terminal: Sends a new message to the server.

[0807] Step 19:

[0808] Server: Receives a new message and analyzes it using the emotion engine. Example: Recognizes the emotion "happy".

[0809] Step 20:

[0810] Server: Sends recognized emotion information and messages to the generative AI.

[0811] Step 21:

[0812] Generative AI: Generates the response, "I've recently started filming a new drama, and it's a lot of fun!"

[0813] Step 22:

[0814] Server: Receives the response from the AI, formats it, and sends it to the user's terminal.

[0815] Step 23:

[0816] Terminal: Displays the response shown in the chat window to the user.

[0817] Step 24:

[0818] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[0819] Step 25:

[0820] Specific third party: The idol accesses conversation logs and sentiment information to review the content of their communication with fans.

[0821] This processing flow allows users to enjoy a realistic communication experience with idols through avatars. Furthermore, the introduction of an emotion recognition engine ensures that the generated responses are more in line with the user's emotions, resulting in a more natural and satisfying dialogue.

[0822] (Example 2)

[0823] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0824] Traditional systems had problems with user-character conversations being limited to simple responses, making it difficult to recognize and reflect emotions in the responses. Furthermore, there were insufficient means to effectively store user conversation logs and prevent unauthorized access by specific third parties, making it impossible to provide a natural, real-time conversation experience. In addition, traditional systems had inadequate user authentication and security, highlighting the need for improved user experience.

[0825] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0826] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for analyzing the user's emotions with an emotion recognition engine, means for receiving a response from the generative AI and generating a response that reflects the emotional information, means for formatting the response and sending it back to the user, means for storing conversation logs and emotional information between the user and the generative AI, and means for making the stored conversation logs and emotional information accessible to a specific third party. This enables a natural and highly satisfying conversation experience that reflects the user's emotions. Furthermore, the stored conversation logs and emotional information allow a specific third party to review the content of communication with fans, enabling the idol to receive effective feedback. In addition, a secure authentication process is provided by means for verifying the user's authentication information and authenticating access to the system.

[0827] A "user" is an individual or group that uses the system to enjoy conversations.

[0828] "Input" refers to information that a user provides to the system, such as text messages or authentication information.

[0829] "Generative AI" is a general term for artificial intelligence technologies that generate appropriate responses based on input information.

[0830] An "emotion recognition engine" is a software module that analyzes user input and recognizes their emotional state.

[0831] "Response" refers to text or information generated by a generative AI based on user input.

[0832] "Formatting" refers to the process of arranging a response into a format that the user needs to receive appropriately.

[0833] A "conversation log" is data that records all conversation history between the user and the generative AI.

[0834] "Emotional information" refers to data that indicates the user's emotional state, as analyzed by an emotion recognition engine.

[0835] "Specific third parties" refers to individuals or organizations that have the authority to access, analyze, and verify conversation logs and sentiment information.

[0836] "Authentication information" refers to information such as usernames and passwords that users use to access the system.

[0837] "Content" is a general term for the information and services that a system provides to its users.

[0838] "Contextual information" refers to information related to a specific situation or context, and is used by generative AI to optimize responses.

[0839] This invention is a system that allows users to virtually experience a talk session with an idol using a dedicated application. This system utilizes generative AI and an emotion recognition engine to analyze the user's emotions and provide a more natural conversational experience. The entire system consists of three main components: a user terminal, a server, generative AI, and an emotion recognition engine.

[0840] The user first launches a dedicated application and enters their login information. The terminal sends the user's entered authentication information to the server, which verifies the information. If authentication is successful, the server sends dashboard information back to the user. The user selects a specific idol from the dashboard and starts a chat session.

[0841] When the talk session begins, the user types a message in the chat window and sends it. For example, they might type, "Hello, how are you?" This message is sent from the terminal to the server. The server receives the message and passes it to the emotion recognition engine for analysis. The emotion recognition engine recognizes the user's emotions and sends the analysis results to the generative AI. The generative AI generates the optimal response based on the emotional information and the idol's character setting. For example, it might generate a response like, "Hello! I'm fine. How about you?"

[0842] The server converts the generated response into the appropriate format and sends it to the user's terminal. The terminal receives this response and displays it in the chat window. The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved by the server.

[0843] The saved conversation logs and sentiment information are accessible to the idol themselves and their management, and are used to review the content of their communication with fans. This allows for a deeper relationship between the idol and their fans, providing a natural and satisfying conversation experience.

[0844] Furthermore, the system includes mechanisms for verifying user authentication information, providing a secure authentication process. This allows users to use the system with peace of mind.

[0845] For example, if a user types "Have you had anything fun happen recently?", this message is sent to a generative AI via the server, and the emotion recognition engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[0846] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, it enables responses that reflect the user's emotional information, providing a more natural and satisfying conversational experience.

[0847] Example of a prompt:

[0848] "how are you?"

[0849] "Have you had anything fun happen recently?"

[0850] The above describes a specific embodiment of the present invention. This system allows users to enjoy natural conversations anytime, anywhere, and the stored conversation logs and emotional information can be used to provide valuable feedback to the idol themselves, helping them to deepen their communication with fans.

[0851] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0852] Step 1: Enter and submit login information.

[0853] User: The user launches the dedicated application and enters their login information (username and password).

[0854] Input: Username and password

[0855] Output: Login information data

[0856] Specific action: The user enters "user@example.com" and "password123".

[0857] Terminal: The terminal sends the entered login information to the server.

[0858] Input: Login information data

[0859] Output: HTTP request to the server

[0860] Specific operation: Send authentication information to the server using the HTTPS protocol.

[0861] Step 2: Authentication process and return of dashboard information

[0862] Server: The server compares the received authentication information with the database and verifies the authentication result. If authentication is successful, it sends the dashboard information to the terminal.

[0863] Input: Login information sent to the server

[0864] Output: Authentication results and dashboard information

[0865] Specific operation: The server compares the information with that in the database, generates a message indicating authentication success or failure, and prepares dashboard information if successful.

[0866] Terminal: The terminal displays dashboard information received from the server to the user.

[0867] Input: Dashboard information from the server

[0868] Output: Displayed on the user interface

[0869] Specific action: Displays a list of available idle users on the dashboard screen.

[0870] Step 3: Start the talk session

[0871] User: The user selects a specific idol from the dashboard and sends a request to start a talk session.

[0872] Input: Selected idol information

[0873] Output: Talk session start request

[0874] Specific action: The user selects Idol A and presses the "Start Talk Session" button.

[0875] Terminal: The terminal sends a request to the server to start a talk session.

[0876] Input: Request to start talk session

[0877] Output: Request to the server

[0878] Specific action: Send a request to the server.

[0879] Server: The server performs the talk session initialization process and sends an initialization complete message to the terminal.

[0880] Input: Request to start talk session

[0881] Output: Initialization complete message

[0882] Specific actions: Generate a session ID and load idle data.

[0883] Step 4: Enter and send your message

[0884] User: The user types a message in the chat window and clicks the send button.

[0885] Input: User-input message (e.g., "Hello, how are you?")

[0886] Output: Message data

[0887] Specific action: Type "Hello, how are you?" into the chat window and send it.

[0888] Terminal: The terminal sends the entered message to the server.

[0889] Input: Message data

[0890] Output: HTTP request to the server

[0891] Specific action: Send message data to the server.

[0892] Step 5: Emotion Recognition and Response Generation

[0893] Server: The server passes the received message to the emotion recognition engine, which analyzes the user's emotions. The analysis results are then passed to the generative AI to generate a response.

[0894] Input: Received message data

[0895] Output: Analysis data and response data for the generative AI

[0896] Specific operation: The emotion recognition engine analyzes "Hello, how are you?" and recognizes the emotion "I'm fine." The generative AI generates the response "Hello! I'm fine. How about you?"

[0897] Step 6: Response format and return

[0898] Server: The server converts the generated response into the appropriate format and sends it to the user's terminal.

[0899] Input: Generated response data

[0900] Output: Formatted response data

[0901] Specific operation: Convert the response data to JSON format and send it to the terminal via the HTTPS protocol.

[0902] Terminal: The terminal receives the formatted response and displays it in the chat window.

[0903] Input: Formatted response data

[0904] Output: Display on the user interface

[0905] Specific action: Display "Hi! I'm fine. How about you?" in the chat window.

[0906] Step 7: Saving the conversation log

[0907] Server: The server stores all conversations and their associated emotional information in a database.

[0908] Input: Message data and sentiment information

[0909] Output: Data to be saved to the database

[0910] Specific action: Save messages and sentiment information to a database in chronological order.

[0911] Step 8: Third-party access

[0912] Specific third parties: Idols and management access saved conversation logs and sentiment information to review the content of their communication with fans.

[0913] Input: Saved conversation logs and sentiment information

[0914] Output: Display data accessible to third parties

[0915] Specific actions: Search and display conversation logs and sentiment information in the administration panel.

[0916] (Application Example 2)

[0917] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0918] Existing content distribution services offer limited opportunities for users to directly interact with idols and celebrities, and a particular challenge is obtaining responses that reflect their emotions. Furthermore, traditional systems struggle to balance real-time interaction with a natural conversational experience, leaving room for improvement in terms of user satisfaction. Additionally, the burden on idols themselves to directly participate in talk events is significant, highlighting the need for new methods to achieve efficient and effective interaction with fans.

[0919] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for saving a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for analyzing the user's emotions using an emotion recognition engine, means for the generative AI to generate a response based on the analyzed emotion information, and means for displaying the response as an avatar facial expression simulation. As a result, the user can enjoy natural conversations that reflect emotions through an avatar, reducing the burden on the idol themselves while enabling efficient and effective interaction with fans.

[0920] "Means of receiving user input" refers to functions that acquire text messages or voice data entered by the user.

[0921] "Means for sending input to a generative AI" refers to a function that transfers the received user input data to a generative AI.

[0922] "Means for receiving responses from generative AI" refers to a function that receives responses created by generative AI.

[0923] "Means of formatting and returning responses to the user" refers to a function that converts responses received from generative AI into an appropriate format for display to the user and then sends them.

[0924] "Means for saving conversation logs between users and generative AI" refers to a function that records all conversations that take place between users and generative AI and saves them for future use.

[0925] "Means of making conversation logs accessible to specific third parties" refers to a function that allows authorized third parties to view and use recorded conversation logs.

[0926] "Means of analyzing a user's emotions using an emotion recognition engine" refers to a function that automatically analyzes a user's emotions from their input data.

[0927] "Means by which generative AI generates responses based on analyzed emotional information" refers to a function that generates appropriate responses for the user based on the analyzed emotional information.

[0928] "Means of displaying responses as avatar facial expression simulations" refers to a function that simulates and displays the facial expressions and movements of an avatar in order to visually represent the generated responses.

[0929] This invention is a system that simulates a talk session with an idol, and is configured to allow users to have a natural and highly satisfying conversation experience using an emotion recognition engine and generative AI.

[0930] Specifically, the system of the present invention operates in the following procedure.

[0931] System Overview

[0932] 1. User: The user launches the dedicated application and enters their login information.

[0933] 2. Terminal: The terminal sends login information to the server, and the server performs the authentication process.

[0934] 3. Server: The server returns dashboard information to the authenticated user, and the user selects a specific idol to start a talk session.

[0935] 4. User: The user types and sends a message in the chat window within the application.

[0936] Message processing and sentiment analysis

[0937] 1. Terminal: The terminal sends the entered message to the server.

[0938] 2. Server: The server receives user messages and analyzes them using an emotion recognition engine. The emotion recognition engine used is Transformers' Pipeline.

[0939] 3. Generative AI: Emotional information and message content are sent to the generative AI as a prompt, and an appropriate response is generated.

[0940] Response generation and display

[0941] 1. Generative AI: The generated response is returned to the server.

[0942] 2. Server: The server formats the received response and sends it to the terminal.

[0943] 3. Terminal: The terminal displays a formatted response to the user, and simultaneously displays it visually as an avatar facial expression simulation. OpenCV will be used as the software.

[0944] Saving and using conversation logs

[0945] 1. Server: Stores conversation logs and emotional information from interactions between the user and the generative AI in a database.

[0946] 2. Specific third parties: Specific third parties can access conversation logs and sentiment information, and review the content of communications with fans.

[0947] Specific example

[0948] If a user types "Hello, I'm a little tired today," the message is sent to the server. The server uses an emotion recognition engine to analyze the emotion of "tiredness" and sends it to a generative AI as a prompt. Based on this, the generative AI generates a response such as "You must be tired. Is there a particular reason why you're tired today?" This response is displayed to the user along with the avatar's facial expression.

[0949] Example of a prompt:

[0950] User's message: Hi, I'm a little tired today.

[0951] Emotion: Fatigue

[0952] response:

[0953] Thus, this invention provides users with a natural conversational experience that reflects their emotions, reduces the burden on the idol themselves, and enables efficient and effective interaction with fans.

[0954] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0955] Step 1:

[0956] The user launches a dedicated application and enters their login information. This information (such as user ID and password) is used for login authentication.

[0957] Step 2:

[0958] The terminal receives the user's login information and sends it to the server. The server compares this information with the authentication database and returns the authentication result. The input data is the user ID and password, and the output data is the success or failure of the authentication.

[0959] Step 3:

[0960] If the server successfully authenticates, it sends dashboard information back to the user. The user selects a specific idol from this dashboard and starts a chat session. The input data is the authentication result, and the output data is the dashboard information.

[0961] Step 4:

[0962] The user selects an "idle" from the dashboard, types a message in the chat window, and sends it. The input message might be something like, "Hi, how are you?"

[0963] Step 5:

[0964] The terminal receives the input message and sends it to the server. The input data is the user's message, and the output data is the message sent to the server.

[0965] Step 6:

[0966] The server receives a user's message and analyzes its emotion using an emotion recognition engine (Transformers Pipeline). The input data is the user's message, and the result of the emotion analysis is emotion information such as "joy" or "sadness." The output data is the analyzed emotion information.

[0967] Step 7:

[0968] The server sends emotion information and the user's message as a prompt to the generative AI. For example, the prompt might be in the format: "User's message: Hello, I'm a little tired today Emotion: Tired Response:". The generative AI generates a response based on this. The input data is the prompt, and the output data is the AI-generated response.

[0969] Step 8:

[0970] A generative AI generates a response based on the user's emotional information and input message, and sends it back to the server. The output data is the generated response.

[0971] Step 9:

[0972] The server formats the received response and sends it to the terminal. The input data is the response received from the generative AI, and the output data is the formatted response.

[0973] Step 10:

[0974] The terminal receives a formatted response and displays it to the user. Simultaneously, actions are performed to display an avatar's facial expression simulation. The input data consists of the formatted response and avatar instructions, while the output data consists of the response and the avatar's visual representation displayed to the user.

[0975] Step 11:

[0976] The server stores all conversation logs and their corresponding emotional information between the user and the generative AI in a database. The input data consists of the conversation content and emotional information, while the output data consists of the stored logs.

[0977] Step 12:

[0978] A specific third party, with authorization, can access conversation logs and sentiment information to review the content of communication with fans. The input data is the access request of the specific third party, and the output data is the viewable conversation logs.

[0979] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0980] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0981] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0982] [Third Embodiment]

[0983] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0984] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0985] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0986] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0987] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0988] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0989] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0990] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0991] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0992] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0993] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0994] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0995] This invention is a system that simulates a talk session with an idol using an avatar and a generative AI. This system is characterized by the cooperation between the user terminal, the server, and the generative AI in order to facilitate smooth conversation between the user and the generative AI.

[0996] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[0997] (Login and talk session initialization)

[0998] User: The user launches the application and enters their login information.

[0999] Terminal: The terminal sends login information to the server.

[1000] Server: The server verifies login information and returns dashboard information to authenticated users.

[1001] User: The user selects a specific idol from the dashboard and starts a talk session.

[1002] When the chat session begins, users type messages in the application's chat window. For example, they might type "Hello, how are you?" and send it. This message is then sent from the device to the server.

[1003] (Sending and receiving messages)

[1004] User: The user types and sends a message in the chat window.

[1005] Terminal: The terminal sends the entered message to the server.

[1006] Server: The server receives user messages and sends them to the generative AI.

[1007] The generative AI generates a response based on the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then sent back to the server.

[1008] (Responding to a message)

[1009] Server: The server formats the response received from the generative AI and sends it to the terminal.

[1010] Terminal: The terminal receives a formatted response and displays it to the user.

[1011] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[1012] (Saving and accessing conversation logs)

[1013] Server: The server stores all conversation logs between the user and the generative AI in a database.

[1014] A specific third party: The idol themselves can later access this conversation log and review the content of their communication with fans.

[1015] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server. The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been a lot of fun!" and return this to the user.

[1016] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[1017] The following describes the processing flow.

[1018] Step 1:

[1019] User: Launch the application and proceed to the login screen.

[1020] Step 2:

[1021] User: Enter your authentication information (User ID, password) and press the login button.

[1022] Step 3:

[1023] Terminal: Sends the entered authentication information to the server.

[1024] Step 4:

[1025] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[1026] Step 5:

[1027] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[1028] Step 6:

[1029] Terminal: Sends the selected idle ID to the server.

[1030] Step 7:

[1031] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[1032] Step 8:

[1033] User: Type "Hello, how are you?" in the chat window and press the send button.

[1034] Step 9:

[1035] Terminal: Sends the user's message to the server as a request.

[1036] Step 10:

[1037] Server: Receives messages from users and identifies the corresponding talk session.

[1038] Step 11:

[1039] Server: Based on the message content and the idol's character data, it sends a request to the generative AI API.

[1040] Step 12:

[1041] Generative AI: Generates natural language responses based on user input and character data.

[1042] Step 13:

[1043] Generative AI: Returns a response to the server (e.g., "Hello! I'm fine. How about you?").

[1044] Step 14:

[1045] Server: Receives responses from the AI ​​and formats them for return to the user.

[1046] Step 15:

[1047] Server: Sends a formatted response to the user's terminal.

[1048] Step 16:

[1049] Terminal: Receives responses from the server and displays them in the chat window.

[1050] Step 17:

[1051] User: Confirm the displayed response and enter the next message. Repeat the flow of the conversation.

[1052] Step 18:

[1053] Server: Stores all conversations between the user and the generative AI in a database.

[1054] Step 19:

[1055] A specific third party: The idol accesses the conversation logs and checks the content of their communication with fans.

[1056] (Example 1)

[1057] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1058] In the modern entertainment industry, opportunities for idols and celebrities to interact directly with fans are limited, making it difficult to deepen relationships with them. Furthermore, face-to-face talk sessions and events face numerous challenges, including time and location constraints and the burden on organizers. Even in virtual communication using generative AI, the technology to enhance the user experience and achieve natural dialogue is insufficient, posing a challenge in improving user satisfaction.

[1059] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1060] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for storing a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for verifying the user's authentication information and authenticating access to the system, and means for providing specific content to the authenticated user, and includes means for generating a response based on the user's message using a generative AI model and displaying the response to the user. This enables virtual talk sessions with fans without the direct participation of idols or celebrities, allowing them to enjoy natural, real-time conversations anytime, anywhere. Furthermore, the stored conversation log allows a specific third party to later review the content of the communication with the fan, making it easier to obtain feedback and further deepen the relationship with the fan.

[1061] A "user" is an individual or group that uses the system and is the entity that performs input and operations.

[1062] A "server" is a computer device that processes requests from users, stores data, and communicates with generative AI systems.

[1063] A "terminal" is a device that a user uses to access and operate a system; examples include personal computers and smartphones.

[1064] "Generative AI" refers to artificial intelligence models that generate responses based on user input and engage in dialogue using natural language processing technology.

[1065] A "response" is a reply message that a generative AI generates in response to user input.

[1066] A "conversation log" is a record of conversations that take place between a user and a generative AI, and is saved for later reference.

[1067] "Specific third parties" refers to the idol themselves or administrators who have the authority to access the server and conversation logs.

[1068] "Authentication information" refers to information used to identify a user and grant them access to the system, and generally includes a user ID and password.

[1069] A "dashboard" is a screen that users access after logging in, providing an interface for accessing the system's main functions and information.

[1070] A "generative AI model" refers to the entire system, including algorithms and models, that receive input from a user and generate appropriate responses.

[1071] A "prompt message" is a text message, such as an instruction or question, that a user sends to a generative AI, and the generative AI generates a response based on its content.

[1072] This invention is a system for simulating talk sessions with idols and celebrities, and uses a generative AI model to facilitate smooth conversations between the user and the generative AI. The system is characterized by the cooperation of a user terminal, a server, and a generative AI.

[1073] Login and talk session initialization

[1074] The user launches a dedicated application and enters their login information (user ID and password). The device then sends this authentication information to the server. The server verifies the received login information, and if authentication is successful, sends dashboard information back to the user. This dashboard displays the user's profile information and notifications, and provides the option to select a specific idol to start a chat session.

[1075] Sending and receiving messages

[1076] The user types a message in the application's chat window. For example, they might type "Hello, how are you?" and click the send button. This message is sent from the device to the server. The server forwards the received message to a generative AI. The generative AI generates a response based on this message. The generated response might be something like, "Hello! I'm fine. How about you?" The server formats this response and resends it to the device. The device displays the formatted response to the user, who then types the next message to continue the conversation.

[1077] Saving and accessing conversation logs

[1078] All conversations are automatically saved by the server. The server stores all conversation logs between the user and the generative AI in a database. For example, database technologies such as MongoDB or MySQL can be used. A specific third party, such as the idol themselves, can later access this database to review the content of their communication with fans.

[1079] Specific example

[1080] If a user types "Have you had anything fun happen recently?" during a talk session, this message is also sent to a generative AI via the server. The generative AI generates a response such as "I've recently started filming a new drama, and it's been a lot of fun!" and sends it back to the user. In this way, users can enjoy a virtual talk session with an idol in real time.

[1081] Example of a prompt

[1082] The following are some examples of specific prompt messages.

[1083] "Hello, how are you?"

[1084] "Have you had anything fun happen recently?"

[1085] "Do you have any movie recommendations?"

[1086] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[1087] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1088] Step 1:

[1089] The user launches a dedicated application and enters their login information.

[1090] (Enter: User ID and password)

[1091] (Output: Login information entry complete)

[1092] Specifically, the user opens the application's login screen and enters their user ID and password into the input fields.

[1093] Step 2:

[1094] The terminal sends the entered login information to the server.

[1095] (Enter: User ID and password)

[1096] (Output: Sending a request to the server)

[1097] The terminal collects the login information entered by the user into a packet and sends it to the server as an HTTP POST request.

[1098] Step 3:

[1099] The server verifies the received login information, and if authentication is successful, it sends the dashboard information back to the user.

[1100] (Enter: User ID and password)

[1101] (Output: Dashboard information)

[1102] The server verifies the user information in the database, and if authentication is successful, it generates dashboard information including the user's profile information and notifications, and sends it back to the terminal.

[1103] Step 4:

[1104] The user selects a specific idol from the dashboard and starts a talk session.

[1105] (Input: Dashboard)

[1106] (Output: Talk session start screen based on idol selection)

[1107] Users select an idol they are interested in on the dashboard and click the "Start Talk Session" button.

[1108] Step 5:

[1109] The user types a message in the chat window and sends it.

[1110] (Input: User's message)

[1111] (Output: Message sending request)

[1112] The user types a message such as "Hello, how are you?" into the chat window and presses the send button.

[1113] Step 6:

[1114] The terminal sends the entered message to the server.

[1115] (Input: User's message)

[1116] (Output: Message sent to the server)

[1117] The terminal converts the user's message into a packet as string data and sends it to the server as an HTTP POST request.

[1118] Step 7:

[1119] The server forwards the received message to the generative AI.

[1120] (Input: User's message)

[1121] (Output: Sending a message to a generative AI)

[1122] The server sends the received message data as a request to the generative AI's API, causing the AI ​​model to process the message.

[1123] Step 8:

[1124] Generative AI generates responses based on input messages.

[1125] (Input: User's message and idol's character settings)

[1126] (Output: Generated response message)

[1127] The generative AI generates response messages such as "Hello! I'm doing well. How about you?" based on the user's message and the idol's character setting.

[1128] Step 9:

[1129] The generative AI sends the generated response back to the server.

[1130] (Input: AI-generated response message)

[1131] (Output: Sending response to the server)

[1132] The generative AI sends the generated response message back to the server.

[1133] Step 10:

[1134] The server formats the response received from the generative AI and sends it to the terminal.

[1135] (Input: Response message from a generative AI)

[1136] (Output: Send a formatted response message)

[1137] The server formats the response message received from the generative AI into a user-friendly format and sends it to the terminal as an HTTP response.

[1138] Step 11:

[1139] The terminal displays a formatted response message to the user.

[1140] (Input: Formatted response message)

[1141] (Output: Display of response message to the user)

[1142] The device displays the received, formatted response message in the chat window in real time. The user reviews this message, enters their next message, and continues the conversation.

[1143] Step 12:

[1144] The server stores all conversation logs between the user and the generative AI in a database.

[1145] (Input: Conversation log)

[1146] (Output: Save conversation logs to database)

[1147] The server stores all message exchanges between the user and the generative AI in text format in a database, along with date and time information.

[1148] Step 13:

[1149] Certain third parties can access the conversation logs and review the content of communications with fans.

[1150] (Input: Request to check conversation log)

[1151] (Output: Providing conversation logs to third parties with access rights)

[1152] A specific third party, such as the idol themselves, can access the database and review the saved conversation logs. This allows them to understand the content of their interactions with fans and provide feedback.

[1153] (Application Example 1)

[1154] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1155] Traditional video content distribution services suffer from limited user-content interaction, resulting in a lack of immersion and real-time two-way communication in the viewing experience. Furthermore, there is a lack of means to enhance real-time engagement with specific video scenes, making it difficult for content providers to obtain immediate user feedback. This leads to decreased viewer satisfaction and engagement rates, and makes it challenging to build deeper relationships with fans.

[1156] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1157] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, and means for receiving responses from the generative AI. This enables the generative AI to generate responses in real time based on user messages in specific video content. By having means for displaying the generative AI's responses in synchronization with the video content, interaction between the user and the content is increased, improving the immersion of the viewing experience. Furthermore, because there are means for exchanging messages in real time during content delivery, immediate user feedback can be obtained, providing valuable insights for content providers.

[1158] A "user" refers to a person who interacts with content using an invented system.

[1159] "Input" refers to the act of a user sending text messages or other data to a system.

[1160] "Generative AI" refers to artificial intelligence that automatically generates appropriate responses based on user input.

[1161] A "response" is the answer that a generative AI generates in response to user input.

[1162] "Formatting" refers to the process of arranging the response returned by a generative AI into an appropriate format.

[1163] A "conversation log" is a record of messages exchanged between a user and a generative AI.

[1164] "Third party" refers to a separate user or administrator within the system who has the right to access the conversation log.

[1165] "Content" refers to digital media, especially videos, that users can view or interact with.

[1166] "Real-time" refers to a state where input and response occur instantly, with minimal delay.

[1167] "Synchronization" refers to the timing of video content and responses from generative AI.

[1168] This invention provides a system that enables real-time interaction between a generative AI and video content. This system operates in cooperation with a user terminal, a server, and the generative AI.

[1169] Users access the system using a smartphone application. Upon launching the application, a login screen appears, and the user enters their authentication information. The device sends this information to the server, which verifies the user's authentication. Once authentication is successful, the user can access the dashboard, select specific video content, and begin an interactive viewing experience.

[1170] While watching, users can type messages in the application's chat window. For example, if a user types and sends "This scene was so moving!", this message is sent from the device to the server. The server forwards this message to a generative AI. The generative AI generates a response in real time based on the context of the sent message and content. For example, it might generate a response like, "It was really moving, wasn't it? Who's your favorite character?" This response is returned to the server, which formats it and sends it to the device. The device receives the formatted response and displays it to the user. The user receives this in real time and can continue the conversation by typing the next message.

[1171] Furthermore, all conversations are automatically saved to the server. The saved conversation logs are accessible to specific third parties and can later be used by content providers to obtain feedback. This allows content providers to analyze user interactions and use that information to improve their content or plan new content.

[1172] The following hardware and software are required to implement this system. The hardware consists of a smartphone (iOS / Android compatible) and a server. The software uses JavaScript and Node.js for smartphone application development, and the OpenAI API for generative AI.

[1173] For example, if a user enters "This scene was very moving!", the system will respond as follows:

[1174] Example of a prompt:

[1175] User: This scene was incredibly moving!

[1176] Avatar: It's really moving, isn't it? Who's your favorite character?

[1177] In this way, users can view content with a high degree of immersion, and a richer viewing experience can be provided through real-time interaction.

[1178] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1179] Step 1:

[1180] User authentication

[1181] The user launches the smartphone application and enters their authentication information on the login screen.

[1182] The device sends this authentication information to the server.

[1183] The server verifies the entered authentication information against the database and returns the dashboard information to the authenticated user.

[1184] Input: User authentication information (User ID, password)

[1185] Output: Dashboard information (notification of authentication success / failure)

[1186] Step 2:

[1187] Content selection and start

[1188] The user selects specific video content from the dashboard.

[1189] The terminal sends the user's selection information to the server.

[1190] The server streams the selected video content to the device.

[1191] Input: User content selection information

[1192] Output: Start streaming the selected video content.

[1193] Step 3:

[1194] Enter and send a message.

[1195] Users type messages in the chat window while watching a video.

[1196] The terminal sends the entered message to the server.

[1197] Input: User message (e.g., "This scene was incredibly moving!")

[1198] Output: Message sent from terminal to server

[1199] Step 4:

[1200] Response generation by generative AI

[1201] The server receives the user's message and sends it to the generative AI.

[1202] Generative AI generates responses based on prompt text.

[1203] Send the generated response back to the server.

[1204] Input: User message

[1205] Output: Response from a generative AI (Example: "That was really moving, wasn't it? Who's your favorite character?")

[1206] Step 5:

[1207] Response format and display

[1208] The server formats the response received from the generative AI.

[1209] Send a formatted response to the terminal.

[1210] The terminal displays the response in the chat window.

[1211] Input: Response from a generative AI

[1212] Output: Display of the formatted response to the user

[1213] Step 6:

[1214] Saving conversation logs

[1215] The server stores messages and responses exchanged between the user and the generative AI in a database.

[1216] Input: User message and generative AI response

[1217] Output: Save conversation logs to database

[1218] Step 7:

[1219] Third-party log access

[1220] A specific third party can log into the server and access the stored conversation logs.

[1221] The server will provide the requested conversation logs to a third party.

[1222] Input: Third-party login request

[1223] Output: Providing conversation logs

[1224] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1225] This invention is a system that simulates a talk session with an idol using an avatar, a generative AI, and an emotion recognition engine. This system analyzes the conversation between the user and the generative AI, recognizes the user's emotions, and reflects them in the response, thereby providing a more natural and satisfying talk experience.

[1226] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[1227] (Login and talk session initialization)

[1228] User: The user launches the application and enters their login information.

[1229] Terminal: The terminal sends login information to the server.

[1230] Server: The server verifies login information and returns dashboard information to authenticated users.

[1231] User: The user selects a specific idol from the dashboard and starts a talk session.

[1232] When the talk session begins, the user types a message in the application's chat window. For example, they might type and send "Hello, how are you?". This message is sent from the device to the server. Here, the emotion engine analyzes the user's message and recognizes their emotions.

[1233] (Sending and receiving messages and recognizing emotions)

[1234] User: The user types and sends a message in the chat window.

[1235] Terminal: The terminal sends the entered message to the server.

[1236] Server: The server receives user messages and analyzes the emotions using an emotion engine.

[1237] Generative AI generates responses based on the user's emotional information, in addition to the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then returned to the server.

[1238] (Adjusting and returning the response)

[1239] Server: Incorporates feedback from the emotion engine, adjusts responses received from the generative AI, and converts them into an appropriate format.

[1240] Server: Sends a formatted response to the user's terminal.

[1241] Terminal: The terminal receives the formatted response and displays it to the user.

[1242] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[1243] (Saving conversation logs and using sentiment information)

[1244] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[1245] Specific third parties: These can access conversation logs and sentiment information, and review the content of communications with fans.

[1246] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server, and the emotion engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[1247] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, by reflecting user emotional information, it can provide a more natural and satisfying conversation experience. The saved conversation logs and emotional information provide valuable feedback for idols to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[1248] The following describes the processing flow.

[1249] Step 1:

[1250] User: Launch the application and proceed to the login screen.

[1251] Step 2:

[1252] User: Enter your authentication information (User ID, password) and press the login button.

[1253] Step 3:

[1254] Terminal: Sends the entered authentication information to the server.

[1255] Step 4:

[1256] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[1257] Step 5:

[1258] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[1259] Step 6:

[1260] Terminal: Sends the selected idle ID to the server.

[1261] Step 7:

[1262] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[1263] Step 8:

[1264] User: Type "Hello, how are you?" in the chat window and press the send button.

[1265] Step 9:

[1266] Terminal: Sends the user's message to the server as a request.

[1267] Step 10:

[1268] Server: Receives a message from the user and starts the response generation process.

[1269] Step 11:

[1270] Server: Passes the message to the emotion engine and recognizes the user's emotion. For example, it might classify "Hello, how are you?" as having a "neutral emotion."

[1271] Step 12:

[1272] Server: Sends recognized emotion information and messages to the generative AI.

[1273] Step 13:

[1274] Generative AI: Generates natural language responses based on user input and recognized emotional information. Example: "Hello! I'm fine. How about you?"

[1275] Step 14:

[1276] Server: Receives responses from AI and formats them as needed.

[1277] Step 15:

[1278] Server: Sends a formatted response to the user's terminal.

[1279] Step 16:

[1280] Terminal: Receives responses from the server and displays them in the chat window.

[1281] Step 17:

[1282] User: Review the displayed response and enter the following message. For example, "Have you had anything fun happen recently?"

[1283] Step 18:

[1284] Terminal: Sends a new message to the server.

[1285] Step 19:

[1286] Server: Receives a new message and analyzes it using the emotion engine. Example: Recognizes the emotion "happy".

[1287] Step 20:

[1288] Server: Sends recognized emotion information and messages to the generative AI.

[1289] Step 21:

[1290] Generative AI: Generates the response, "I've recently started filming a new drama, and it's a lot of fun!"

[1291] Step 22:

[1292] Server: Receives the response from the AI, formats it, and sends it to the user's terminal.

[1293] Step 23:

[1294] Terminal: Displays the response shown in the chat window to the user.

[1295] Step 24:

[1296] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[1297] Step 25:

[1298] Specific third party: The idol accesses conversation logs and sentiment information to review the content of their communication with fans.

[1299] This processing flow allows users to enjoy a realistic communication experience with idols through avatars. Furthermore, the introduction of an emotion recognition engine ensures that the generated responses are more in line with the user's emotions, resulting in a more natural and satisfying dialogue.

[1300] (Example 2)

[1301] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1302] Traditional systems had problems with user-character conversations being limited to simple responses, making it difficult to recognize and reflect emotions in the responses. Furthermore, there were insufficient means to effectively store user conversation logs and prevent unauthorized access by specific third parties, making it impossible to provide a natural, real-time conversation experience. In addition, traditional systems had inadequate user authentication and security, highlighting the need for improved user experience.

[1303] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1304] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for analyzing the user's emotions with an emotion recognition engine, means for receiving a response from the generative AI and generating a response that reflects the emotional information, means for formatting the response and sending it back to the user, means for storing conversation logs and emotional information between the user and the generative AI, and means for making the stored conversation logs and emotional information accessible to a specific third party. This enables a natural and highly satisfying conversation experience that reflects the user's emotions. Furthermore, the stored conversation logs and emotional information allow a specific third party to review the content of communication with fans, enabling the idol to receive effective feedback. In addition, a secure authentication process is provided by means for verifying the user's authentication information and authenticating access to the system.

[1305] A "user" is an individual or group that uses the system to enjoy conversations.

[1306] "Input" refers to information that a user provides to the system, such as text messages or authentication information.

[1307] "Generative AI" is a general term for artificial intelligence technologies that generate appropriate responses based on input information.

[1308] An "emotion recognition engine" is a software module that analyzes user input and recognizes their emotional state.

[1309] A "response" refers to text or information generated by a generative AI based on user input.

[1310] "Formatting" refers to the process of arranging a response into a format necessary for the user to properly receive it.

[1311] A "conversation log" is data that records the entire history of conversations that took place between the user and the generative AI.

[1312] "Emotional information" refers to data that indicates the user's emotional state, as analyzed by an emotion recognition engine.

[1313] "Specific third parties" refers to individuals or organizations that have the authority to access, analyze, and verify conversation logs and sentiment information.

[1314] "Authentication information" refers to information such as usernames and passwords that users use when accessing a system.

[1315] "Content" is a general term for the information and services that a system provides to its users.

[1316] "Contextual information" refers to information related to a specific situation or context, and is used by generative AI to optimize responses.

[1317] This invention is a system that allows users to virtually experience a talk session with an idol using a dedicated application. This system utilizes generative AI and an emotion recognition engine to analyze the user's emotions and provide a more natural conversational experience. The entire system consists of three main components: a user terminal, a server, generative AI, and an emotion recognition engine.

[1318] The user first launches a dedicated application and enters their login information. The terminal sends the user's entered authentication information to the server, which verifies the information. If authentication is successful, the server sends dashboard information back to the user. The user selects a specific idol from the dashboard and starts a chat session.

[1319] When the talk session begins, the user types a message in the chat window and sends it. For example, they might type, "Hello, how are you?" This message is sent from the terminal to the server. The server receives the message and passes it to the emotion recognition engine for analysis. The emotion recognition engine recognizes the user's emotions and sends the analysis results to the generative AI. The generative AI generates the optimal response based on the emotional information and the idol's character setting. For example, it might generate a response like, "Hello! I'm fine. How about you?"

[1320] The server converts the generated response into the appropriate format and sends it to the user's terminal. The terminal receives this response and displays it in the chat window. The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved by the server.

[1321] The saved conversation logs and sentiment information are accessible to the idol themselves and their management, and are used to review the content of their communication with fans. This allows for a deeper relationship between the idol and their fans, providing a natural and satisfying conversation experience.

[1322] Furthermore, the system includes mechanisms for verifying user authentication information, providing a secure authentication process. This allows users to use the system with peace of mind.

[1323] For example, if a user types "Have you had anything fun happen recently?", this message is sent to a generative AI via the server, and the emotion recognition engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[1324] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, it enables responses that reflect the user's emotional information, providing a more natural and satisfying conversational experience.

[1325] Example of a prompt:

[1326] "how are you?"

[1327] "Have you had anything fun happen recently?"

[1328] The above describes a specific embodiment of the present invention. This system allows users to enjoy natural conversations anytime, anywhere, and the stored conversation logs and emotional information can be used to provide valuable feedback to the idol themselves, helping them to deepen their communication with fans.

[1329] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1330] Step 1: Enter and submit login information.

[1331] User: The user launches the dedicated application and enters their login information (username and password).

[1332] Input: Username and password

[1333] Output: Login information data

[1334] Specific action: The user enters "user@example.com" and "password123".

[1335] Terminal: The terminal sends the entered login information to the server.

[1336] Input: Login information data

[1337] Output: HTTP request to the server

[1338] Specific operation: Send authentication information to the server using the HTTPS protocol.

[1339] Step 2: Authentication process and return of dashboard information

[1340] Server: The server compares the received authentication information with the database and verifies the authentication result. If authentication is successful, it sends the dashboard information to the terminal.

[1341] Input: Login information sent to the server

[1342] Output: Authentication results and dashboard information

[1343] Specific operation: The server compares the information with that in the database, generates a message indicating authentication success or failure, and prepares dashboard information if successful.

[1344] Terminal: The terminal displays dashboard information received from the server to the user.

[1345] Input: Dashboard information from the server

[1346] Output: Displayed on the user interface

[1347] Specific action: Displays a list of available idle users on the dashboard screen.

[1348] Step 3: Start the talk session

[1349] User: The user selects a specific idol from the dashboard and sends a request to start a talk session.

[1350] Input: Selected idol information

[1351] Output: Talk session start request

[1352] Specific action: The user selects Idol A and presses the "Start Talk Session" button.

[1353] Terminal: The terminal sends a request to the server to start a talk session.

[1354] Input: Request to start talk session

[1355] Output: Request to the server

[1356] Specific action: Send a request to the server.

[1357] Server: The server performs the talk session initialization process and sends an initialization complete message to the terminal.

[1358] Input: Request to start talk session

[1359] Output: Initialization complete message

[1360] Specific actions: Generate a session ID and load idle data.

[1361] Step 4: Enter and send your message

[1362] User: The user types a message in the chat window and clicks the send button.

[1363] Input: User-input message (e.g., "Hello, how are you?")

[1364] Output: Message data

[1365] Specific action: Type "Hello, how are you?" into the chat window and send it.

[1366] Terminal: The terminal sends the entered message to the server.

[1367] Input: Message data

[1368] Output: HTTP request to the server

[1369] Specific action: Send message data to the server.

[1370] Step 5: Emotion Recognition and Response Generation

[1371] Server: The server passes the received message to the emotion recognition engine, which analyzes the user's emotions. The analysis results are then passed to the generative AI to generate a response.

[1372] Input: Received message data

[1373] Output: Analysis data and response data for the generative AI

[1374] Specific operation: The emotion recognition engine analyzes "Hello, how are you?" and recognizes the emotion "I'm fine." The generative AI generates the response "Hello! I'm fine. How about you?"

[1375] Step 6: Response format and return

[1376] Server: The server converts the generated response into the appropriate format and sends it to the user's terminal.

[1377] Input: Generated response data

[1378] Output: Formatted response data

[1379] Specific operation: Convert the response data to JSON format and send it to the terminal via the HTTPS protocol.

[1380] Terminal: The terminal receives the formatted response and displays it in the chat window.

[1381] Input: Formatted response data

[1382] Output: Display on the user interface

[1383] Specific action: Display "Hi! I'm fine. How about you?" in the chat window.

[1384] Step 7: Saving the conversation log

[1385] Server: The server stores all conversations and their associated emotional information in a database.

[1386] Input: Message data and sentiment information

[1387] Output: Data to be saved to the database

[1388] Specific action: Save messages and sentiment information to a database in chronological order.

[1389] Step 8: Third-party access

[1390] Specific third parties: Idols and management access saved conversation logs and sentiment information to review the content of their communication with fans.

[1391] Input: Saved conversation logs and sentiment information

[1392] Output: Display data accessible to third parties

[1393] Specific actions: Search and display conversation logs and sentiment information in the administration panel.

[1394] (Application Example 2)

[1395] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1396] Existing content distribution services offer limited opportunities for users to directly interact with idols and celebrities, and a particular challenge is obtaining responses that reflect their emotions. Furthermore, traditional systems struggle to balance real-time interaction with a natural conversational experience, leaving room for improvement in terms of user satisfaction. Additionally, the burden on idols themselves to directly participate in talk events is significant, highlighting the need for new methods to achieve efficient and effective interaction with fans.

[1397] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for saving a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for analyzing the user's emotions using an emotion recognition engine, means for the generative AI to generate a response based on the analyzed emotion information, and means for displaying the response as an avatar facial expression simulation. As a result, the user can enjoy natural conversations that reflect emotions through an avatar, reducing the burden on the idol themselves while enabling efficient and effective interaction with fans.

[1398] "Means of receiving user input" refers to functions that acquire text messages or voice data entered by the user.

[1399] "Means for sending input to a generative AI" refers to a function that transfers the received user input data to a generative AI.

[1400] "Means for receiving responses from generative AI" refers to a function that receives responses created by generative AI.

[1401] "Means of formatting and returning responses to the user" refers to a function that converts responses received from generative AI into an appropriate format for display to the user and then sends them.

[1402] "Means for saving conversation logs between users and generative AI" refers to a function that records all conversations that take place between users and generative AI and saves them for future use.

[1403] "Means of making conversation logs accessible to specific third parties" refers to a function that allows authorized third parties to view and use recorded conversation logs.

[1404] "Means of analyzing a user's emotions using an emotion recognition engine" refers to a function that automatically analyzes a user's emotions from their input data.

[1405] "Means by which generative AI generates responses based on analyzed emotional information" refers to a function that generates appropriate responses for the user based on the analyzed emotional information.

[1406] "Means of displaying responses as avatar facial expression simulations" refers to a function that simulates and displays the facial expressions and movements of an avatar in order to visually represent the generated responses.

[1407] This invention is a system that simulates a talk session with an idol, and is configured to allow users to have a natural and highly satisfying conversation experience using an emotion recognition engine and generative AI.

[1408] Specifically, the system of the present invention operates in the following procedure.

[1409] System Overview

[1410] 1. User: The user launches the dedicated application and enters their login information.

[1411] 2. Terminal: The terminal sends login information to the server, and the server performs the authentication process.

[1412] 3. Server: The server returns dashboard information to the authenticated user, and the user selects a specific idol to start a talk session.

[1413] 4. User: The user types and sends a message in the chat window within the application.

[1414] Message processing and sentiment analysis

[1415] 1. Terminal: The terminal sends the entered message to the server.

[1416] 2. Server: The server receives user messages and analyzes them using an emotion recognition engine. The emotion recognition engine used is Transformers' Pipeline.

[1417] 3. Generative AI: Emotional information and message content are sent to the generative AI as a prompt, and an appropriate response is generated.

[1418] Response generation and display

[1419] 1. Generative AI: The generated response is returned to the server.

[1420] 2. Server: The server formats the received response and sends it to the terminal.

[1421] 3. Terminal: The terminal displays a formatted response to the user, and simultaneously displays it visually as an avatar facial expression simulation. OpenCV will be used as the software.

[1422] Saving and using conversation logs

[1423] 1. Server: Stores conversation logs and emotional information from interactions between the user and the generative AI in a database.

[1424] 2. Specific third parties: Specific third parties can access conversation logs and sentiment information, and review the content of communications with fans.

[1425] Specific example

[1426] If a user types "Hello, I'm a little tired today," the message is sent to the server. The server uses an emotion recognition engine to analyze the emotion of "tiredness" and sends it to a generative AI as a prompt. Based on this, the generative AI generates a response such as "You must be tired. Is there a particular reason why you're tired today?" This response is displayed to the user along with the avatar's facial expression.

[1427] Example of a prompt:

[1428] User's message: Hi, I'm a little tired today.

[1429] Emotion: Fatigue

[1430] response:

[1431] Thus, this invention provides users with a natural conversational experience that reflects their emotions, reduces the burden on the idol themselves, and enables efficient and effective interaction with fans.

[1432] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1433] Step 1:

[1434] The user launches a dedicated application and enters their login information. This information (such as user ID and password) is used for login authentication.

[1435] Step 2:

[1436] The terminal receives the user's login information and sends it to the server. The server compares this information with the authentication database and returns the authentication result. The input data is the user ID and password, and the output data is the success or failure of the authentication.

[1437] Step 3:

[1438] If the server successfully authenticates, it sends dashboard information back to the user. The user selects a specific idol from this dashboard and starts a chat session. The input data is the authentication result, and the output data is the dashboard information.

[1439] Step 4:

[1440] The user selects an "idle" from the dashboard, types a message in the chat window, and sends it. The input message might be something like, "Hi, how are you?"

[1441] Step 5:

[1442] The terminal receives the input message and sends it to the server. The input data is the user's message, and the output data is the message sent to the server.

[1443] Step 6:

[1444] The server receives a user's message and analyzes its emotion using an emotion recognition engine (Transformers Pipeline). The input data is the user's message, and the result of the emotion analysis is emotion information such as "joy" or "sadness." The output data is the analyzed emotion information.

[1445] Step 7:

[1446] The server sends emotion information and the user's message as a prompt to the generative AI. For example, the prompt might be in the format: "User's message: Hello, I'm a little tired today Emotion: Tired Response:". The generative AI generates a response based on this. The input data is the prompt, and the output data is the AI-generated response.

[1447] Step 8:

[1448] A generative AI generates a response based on the user's emotional information and input message, and sends it back to the server. The output data is the generated response.

[1449] Step 9:

[1450] The server formats the received response and sends it to the terminal. The input data is the response received from the generative AI, and the output data is the formatted response.

[1451] Step 10:

[1452] The terminal receives a formatted response and displays it to the user. Simultaneously, actions are performed to display an avatar's facial expression simulation. The input data consists of the formatted response and avatar instructions, while the output data consists of the response and the avatar's visual representation displayed to the user.

[1453] Step 11:

[1454] The server stores all conversation logs and their corresponding emotional information between the user and the generative AI in a database. The input data consists of the conversation content and emotional information, while the output data consists of the stored logs.

[1455] Step 12:

[1456] A specific third party, with authorization, can access conversation logs and sentiment information to review the content of communication with fans. The input data is the access request of the specific third party, and the output data is the viewable conversation logs.

[1457] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1458] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1459] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1460] [Fourth Embodiment]

[1461] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1462] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1463] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1464] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1465] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1466] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1467] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1468] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1469] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1470] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1471] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1472] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1473] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1474] This invention is a system that simulates a talk session with an idol using an avatar and a generative AI. This system is characterized by the cooperation between the user terminal, the server, and the generative AI in order to facilitate smooth conversation between the user and the generative AI.

[1475] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[1476] (Login and talk session initialization)

[1477] User: The user launches the application and enters their login information.

[1478] Terminal: The terminal sends login information to the server.

[1479] Server: The server verifies login information and returns dashboard information to authenticated users.

[1480] User: The user selects a specific idol from the dashboard and starts a talk session.

[1481] When the chat session begins, users type messages in the application's chat window. For example, they might type "Hello, how are you?" and send it. This message is then sent from the device to the server.

[1482] (Sending and receiving messages)

[1483] User: The user types and sends a message in the chat window.

[1484] Terminal: The terminal sends the entered message to the server.

[1485] Server: The server receives user messages and sends them to the generative AI.

[1486] The generative AI generates a response based on the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then sent back to the server.

[1487] (Responding to a message)

[1488] Server: The server formats the response received from the generative AI and sends it to the terminal.

[1489] Terminal: The terminal receives a formatted response and displays it to the user.

[1490] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[1491] (Saving and accessing conversation logs)

[1492] Server: The server stores all conversation logs between the user and the generative AI in a database.

[1493] A specific third party: The idol themselves can later access this conversation log and review the content of their communication with fans.

[1494] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server. The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been a lot of fun!" and return this to the user.

[1495] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[1496] The following describes the processing flow.

[1497] Step 1:

[1498] User: Launch the application and proceed to the login screen.

[1499] Step 2:

[1500] User: Enter your authentication information (User ID, password) and press the login button.

[1501] Step 3:

[1502] Terminal: Sends the entered authentication information to the server.

[1503] Step 4:

[1504] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[1505] Step 5:

[1506] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[1507] Step 6:

[1508] Terminal: Sends the selected idle ID to the server.

[1509] Step 7:

[1510] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[1511] Step 8:

[1512] User: Type "Hello, how are you?" in the chat window and press the send button.

[1513] Step 9:

[1514] Terminal: Sends the user's message to the server as a request.

[1515] Step 10:

[1516] Server: Receives messages from users and identifies the corresponding talk session.

[1517] Step 11:

[1518] Server: Based on the message content and the idol's character data, it sends a request to the generative AI API.

[1519] Step 12:

[1520] Generative AI: Generates natural language responses based on user input and character data.

[1521] Step 13:

[1522] Generative AI: Returns a response to the server (e.g., "Hello! I'm fine. How about you?").

[1523] Step 14:

[1524] Server: Receives responses from the AI ​​and formats them for return to the user.

[1525] Step 15:

[1526] Server: Sends a formatted response to the user's terminal.

[1527] Step 16:

[1528] Terminal: Receives responses from the server and displays them in the chat window.

[1529] Step 17:

[1530] User: Confirm the displayed response and enter the next message. Repeat the flow of the conversation.

[1531] Step 18:

[1532] Server: Stores all conversations between the user and the generative AI in a database.

[1533] Step 19:

[1534] A specific third party: The idol accesses the conversation logs and checks the content of their communication with fans.

[1535] (Example 1)

[1536] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1537] In the modern entertainment industry, opportunities for idols and celebrities to interact directly with fans are limited, making it difficult to deepen relationships with them. Furthermore, face-to-face talk sessions and events face numerous challenges, including time and location constraints and the burden on organizers. Even in virtual communication using generative AI, the technology to enhance the user experience and achieve natural dialogue is insufficient, posing a challenge in improving user satisfaction.

[1538] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1539] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for storing a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for verifying the user's authentication information and authenticating access to the system, and means for providing specific content to the authenticated user, and includes means for generating a response based on the user's message using a generative AI model and displaying the response to the user. This enables virtual talk sessions with fans without the direct participation of idols or celebrities, allowing them to enjoy natural, real-time conversations anytime, anywhere. Furthermore, the stored conversation log allows a specific third party to later review the content of the communication with the fan, making it easier to obtain feedback and further deepen the relationship with the fan.

[1540] A "user" is an individual or group that uses the system and is the entity that performs input and operations.

[1541] A "server" is a computer device that processes requests from users, stores data, and communicates with generative AI systems.

[1542] A "terminal" is a device that a user uses to access and operate a system; examples include personal computers and smartphones.

[1543] "Generative AI" refers to artificial intelligence models that generate responses based on user input and engage in dialogue using natural language processing technology.

[1544] A "response" is a reply message that a generative AI generates in response to user input.

[1545] A "conversation log" is a record of conversations that take place between a user and a generative AI, and is saved for later reference.

[1546] "Specific third parties" refers to the idol themselves or administrators who have the authority to access the server and conversation logs.

[1547] "Authentication information" refers to information used to identify a user and grant them access to the system, and generally includes a user ID and password.

[1548] A "dashboard" is a screen that users access after logging in, providing an interface for accessing the system's main functions and information.

[1549] A "generative AI model" refers to the entire system, including algorithms and models, that receive input from a user and generate appropriate responses.

[1550] A "prompt message" is a text message, such as an instruction or question, that a user sends to a generative AI, and the generative AI generates a response based on its content.

[1551] This invention is a system for simulating talk sessions with idols and celebrities, and uses a generative AI model to facilitate smooth conversations between the user and the generative AI. The system is characterized by the cooperation of a user terminal, a server, and a generative AI.

[1552] Login and talk session initialization

[1553] The user launches a dedicated application and enters their login information (user ID and password). The device then sends this authentication information to the server. The server verifies the received login information, and if authentication is successful, sends dashboard information back to the user. This dashboard displays the user's profile information and notifications, and provides the option to select a specific idol to start a chat session.

[1554] Sending and receiving messages

[1555] The user types a message in the application's chat window. For example, they might type "Hello, how are you?" and click the send button. This message is sent from the device to the server. The server forwards the received message to a generative AI. The generative AI generates a response based on this message. The generated response might be something like, "Hello! I'm fine. How about you?" The server formats this response and resends it to the device. The device displays the formatted response to the user, who then types the next message to continue the conversation.

[1556] Saving and accessing conversation logs

[1557] All conversations are automatically saved by the server. The server stores all conversation logs between the user and the generative AI in a database. For example, database technologies such as MongoDB or MySQL can be used. A specific third party, such as the idol themselves, can later access this database to review the content of their communication with fans.

[1558] Specific example

[1559] If a user types "Have you had anything fun happen recently?" during a talk session, this message is also sent to a generative AI via the server. The generative AI generates a response such as "I've recently started filming a new drama, and it's been a lot of fun!" and sends it back to the user. In this way, users can enjoy a virtual talk session with an idol in real time.

[1560] Example of a prompt

[1561] The following are some examples of specific prompt messages.

[1562] "Hello, how are you?"

[1563] "Have you had anything fun happen recently?"

[1564] "Do you have any movie recommendations?"

[1565] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, the saved conversation logs provide idols with valuable feedback to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[1566] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1567] Step 1:

[1568] The user launches a dedicated application and enters their login information.

[1569] (Enter: User ID and password)

[1570] (Output: Login information entry complete)

[1571] Specifically, the user opens the application's login screen and enters their user ID and password into the input fields.

[1572] Step 2:

[1573] The terminal sends the entered login information to the server.

[1574] (Enter: User ID and password)

[1575] (Output: Sending a request to the server)

[1576] The terminal collects the login information entered by the user into a packet and sends it to the server as an HTTP POST request.

[1577] Step 3:

[1578] The server verifies the received login information, and if authentication is successful, it sends the dashboard information back to the user.

[1579] (Enter: User ID and password)

[1580] (Output: Dashboard information)

[1581] The server verifies the user information in the database, and if authentication is successful, it generates dashboard information including the user's profile information and notifications, and sends it back to the terminal.

[1582] Step 4:

[1583] The user selects a specific idol from the dashboard and starts a talk session.

[1584] (Input: Dashboard)

[1585] (Output: Talk session start screen based on idol selection)

[1586] Users select an idol they are interested in on the dashboard and click the "Start Talk Session" button.

[1587] Step 5:

[1588] The user types a message in the chat window and sends it.

[1589] (Input: User's message)

[1590] (Output: Message sending request)

[1591] The user types a message such as "Hello, how are you?" into the chat window and presses the send button.

[1592] Step 6:

[1593] The terminal sends the entered message to the server.

[1594] (Input: User's message)

[1595] (Output: Message sent to the server)

[1596] The terminal converts the user's message into a packet as string data and sends it to the server as an HTTP POST request.

[1597] Step 7:

[1598] The server forwards the received message to the generative AI.

[1599] (Input: User's message)

[1600] (Output: Sending a message to a generative AI)

[1601] The server sends the received message data as a request to the generative AI's API, causing the AI ​​model to process the message.

[1602] Step 8:

[1603] Generative AI generates responses based on input messages.

[1604] (Input: User's message and idol's character settings)

[1605] (Output: Generated response message)

[1606] The generative AI generates response messages such as "Hello! I'm doing well. How about you?" based on the user's message and the idol's character setting.

[1607] Step 9:

[1608] The generative AI sends the generated response back to the server.

[1609] (Input: AI-generated response message)

[1610] (Output: Sending response to the server)

[1611] The generative AI sends the generated response message back to the server.

[1612] Step 10:

[1613] The server formats the response received from the generative AI and sends it to the terminal.

[1614] (Input: Response message from a generative AI)

[1615] (Output: Send a formatted response message)

[1616] The server formats the response message received from the generative AI into a user-friendly format and sends it to the terminal as an HTTP response.

[1617] Step 11:

[1618] The terminal displays a formatted response message to the user.

[1619] (Input: Formatted response message)

[1620] (Output: Display of response message to the user)

[1621] The device displays the received, formatted response message in the chat window in real time. The user reviews this message, enters their next message, and continues the conversation.

[1622] Step 12:

[1623] The server stores all conversation logs between the user and the generative AI in a database.

[1624] (Input: Conversation log)

[1625] (Output: Save conversation logs to database)

[1626] The server stores all message exchanges between the user and the generative AI in text format in a database, along with date and time information.

[1627] Step 13:

[1628] Certain third parties can access the conversation logs and review the content of communications with fans.

[1629] (Input: Request to check conversation log)

[1630] (Output: Providing conversation logs to third parties with access rights)

[1631] A specific third party, such as the idol themselves, can access the database and review the saved conversation logs. This allows them to understand the content of their interactions with fans and provide feedback.

[1632] (Application Example 1)

[1633] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1634] Traditional video content distribution services suffer from limited user-content interaction, resulting in a lack of immersion and real-time two-way communication in the viewing experience. Furthermore, there is a lack of means to enhance real-time engagement with specific video scenes, making it difficult for content providers to obtain immediate user feedback. This leads to decreased viewer satisfaction and engagement rates, and makes it challenging to build deeper relationships with fans.

[1635] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1636] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, and means for receiving responses from the generative AI. This enables the generative AI to generate responses in real time based on user messages in specific video content. By having means for displaying the generative AI's responses in synchronization with the video content, interaction between the user and the content is increased, improving the immersion of the viewing experience. Furthermore, because there are means for exchanging messages in real time during content delivery, immediate user feedback can be obtained, providing valuable insights for content providers.

[1637] A "user" refers to a person who interacts with content using an invented system.

[1638] "Input" refers to the act of a user sending text messages or other data to a system.

[1639] "Generative AI" refers to artificial intelligence that automatically generates appropriate responses based on user input.

[1640] A "response" is the answer that a generative AI generates in response to user input.

[1641] "Formatting" refers to the process of arranging the response returned by a generative AI into an appropriate format.

[1642] A "conversation log" is a record of messages exchanged between a user and a generative AI.

[1643] "Third party" refers to a separate user or administrator within the system who has the right to access the conversation log.

[1644] "Content" refers to digital media, especially videos, that users can view or interact with.

[1645] "Real-time" refers to a state where input and response occur instantly, with minimal delay.

[1646] "Synchronization" refers to the timing of video content and responses from generative AI.

[1647] This invention provides a system that enables real-time interaction between a generative AI and video content. This system operates in cooperation with a user terminal, a server, and the generative AI.

[1648] Users access the system using a smartphone application. Upon launching the application, a login screen appears, and the user enters their authentication information. The device sends this information to the server, which verifies the user's authentication. Once authentication is successful, the user can access the dashboard, select specific video content, and begin an interactive viewing experience.

[1649] While watching, users can type messages in the application's chat window. For example, if a user types and sends "This scene was so moving!", this message is sent from the device to the server. The server forwards this message to a generative AI. The generative AI generates a response in real time based on the context of the sent message and content. For example, it might generate a response like, "It was really moving, wasn't it? Who's your favorite character?" This response is returned to the server, which formats it and sends it to the device. The device receives the formatted response and displays it to the user. The user receives this in real time and can continue the conversation by typing the next message.

[1650] Furthermore, all conversations are automatically saved to the server. The saved conversation logs are accessible to specific third parties and can later be used by content providers to obtain feedback. This allows content providers to analyze user interactions and use that information to improve their content or plan new content.

[1651] The following hardware and software are required to implement this system. The hardware consists of a smartphone (iOS / Android compatible) and a server. The software uses JavaScript and Node.js for smartphone application development, and the OpenAI API for generative AI.

[1652] For example, if a user enters "This scene was very moving!", the system will respond as follows:

[1653] Example of a prompt:

[1654] User: This scene was incredibly moving!

[1655] Avatar: It's really moving, isn't it? Who's your favorite character?

[1656] In this way, users can view content with a high degree of immersion, and a richer viewing experience can be provided through real-time interaction.

[1657] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1658] Step 1:

[1659] User authentication

[1660] The user launches the smartphone application and enters their authentication information on the login screen.

[1661] The device sends this authentication information to the server.

[1662] The server verifies the entered authentication information against the database and returns the dashboard information to the authenticated user.

[1663] Input: User authentication information (User ID, password)

[1664] Output: Dashboard information (notification of authentication success / failure)

[1665] Step 2:

[1666] Content selection and start

[1667] The user selects specific video content from the dashboard.

[1668] The terminal sends the user's selection information to the server.

[1669] The server streams the selected video content to the device.

[1670] Input: User content selection information

[1671] Output: Start streaming the selected video content.

[1672] Step 3:

[1673] Enter and send a message.

[1674] Users type messages in the chat window while watching a video.

[1675] The terminal sends the entered message to the server.

[1676] Input: User message (e.g., "This scene was incredibly moving!")

[1677] Output: Message sent from terminal to server

[1678] Step 4:

[1679] Response generation by generative AI

[1680] The server receives the user's message and sends it to the generative AI.

[1681] Generative AI generates responses based on prompt text.

[1682] Send the generated response back to the server.

[1683] Input: User message

[1684] Output: Response from a generative AI (Example: "That was really moving, wasn't it? Who's your favorite character?")

[1685] Step 5:

[1686] Response format and display

[1687] The server formats the response received from the generative AI.

[1688] Send a formatted response to the terminal.

[1689] The terminal displays the response in the chat window.

[1690] Input: Response from a generative AI

[1691] Output: Display of the formatted response to the user

[1692] Step 6:

[1693] Saving conversation logs

[1694] The server stores messages and responses exchanged between the user and the generative AI in a database.

[1695] Input: User message and generative AI response

[1696] Output: Save conversation logs to database

[1697] Step 7:

[1698] Third-party log access

[1699] A specific third party can log into the server and access the stored conversation logs.

[1700] The server will provide the requested conversation logs to a third party.

[1701] Input: Third-party login request

[1702] Output: Providing conversation logs

[1703] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1704] This invention is a system that simulates a talk session with an idol using an avatar, a generative AI, and an emotion recognition engine. This system analyzes the conversation between the user and the generative AI, recognizes the user's emotions, and reflects them in the response, thereby providing a more natural and satisfying talk experience.

[1705] The system works as follows: The user launches a dedicated application and enters their authentication information on the login screen. The terminal sends this authentication information to the server, which verifies the user's authentication. If authentication is successful, the user accesses the dashboard, selects a specific idol, and starts a chat session.

[1706] (Login and talk session initialization)

[1707] User: The user launches the application and enters their login information.

[1708] Terminal: The terminal sends login information to the server.

[1709] Server: The server verifies login information and returns dashboard information to authenticated users.

[1710] User: The user selects a specific idol from the dashboard and starts a talk session.

[1711] When the talk session begins, the user types a message in the application's chat window. For example, they might type and send "Hello, how are you?". This message is sent from the device to the server. Here, the emotion engine analyzes the user's message and recognizes their emotions.

[1712] (Sending and receiving messages and recognizing emotions)

[1713] User: The user types and sends a message in the chat window.

[1714] Terminal: The terminal sends the entered message to the server.

[1715] Server: The server receives user messages and analyzes the emotions using an emotion engine.

[1716] Generative AI generates responses based on the user's emotional information, in addition to the sent message and the idol's character settings. For example, the AI ​​might generate a response like, "Hello! I'm fine. How about you?" This response is then returned to the server.

[1717] (Adjusting and returning the response)

[1718] Server: Incorporates feedback from the emotion engine, adjusts responses received from the generative AI, and converts them into an appropriate format.

[1719] Server: Sends a formatted response to the user's terminal.

[1720] Terminal: The terminal receives the formatted response and displays it to the user.

[1721] The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved on the server.

[1722] (Saving conversation logs and using sentiment information)

[1723] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[1724] Specific third parties: These can access conversation logs and sentiment information, and review the content of communications with fans.

[1725] For example, if a user types "Have you had anything fun happen recently?", this message is similarly sent to the generative AI via the server, and the emotion engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[1726] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, by reflecting user emotional information, it can provide a more natural and satisfying conversation experience. The saved conversation logs and emotional information provide valuable feedback for idols to deepen their communication with fans. This solves the problems of traditional face-to-face talk events and provides a more efficient and effective platform for fan interaction.

[1727] The following describes the processing flow.

[1728] Step 1:

[1729] User: Launch the application and proceed to the login screen.

[1730] Step 2:

[1731] User: Enter your authentication information (User ID, password) and press the login button.

[1732] Step 3:

[1733] Terminal: Sends the entered authentication information to the server.

[1734] Step 4:

[1735] Server: Verify authentication credentials and, if authentication is successful, return the user's dashboard information.

[1736] Step 5:

[1737] User: Select the idol you want to participate with from the dashboard and press the button to start the talk session.

[1738] Step 6:

[1739] Terminal: Sends the selected idle ID to the server.

[1740] Step 7:

[1741] Server: Initializes the talk session based on the idle information and returns the talk screen to the user's terminal.

[1742] Step 8:

[1743] User: Type "Hello, how are you?" in the chat window and press the send button.

[1744] Step 9:

[1745] Terminal: Sends the user's message to the server as a request.

[1746] Step 10:

[1747] Server: Receives a message from the user and starts the response generation process.

[1748] Step 11:

[1749] Server: Passes the message to the emotion engine and recognizes the user's emotion. For example, it might classify "Hello, how are you?" as having a "neutral emotion."

[1750] Step 12:

[1751] Server: Sends recognized emotion information and messages to the generative AI.

[1752] Step 13:

[1753] Generative AI: Generates natural language responses based on user input and recognized emotional information. Example: "Hello! I'm fine. How about you?"

[1754] Step 14:

[1755] Server: Receives responses from AI and formats them as needed.

[1756] Step 15:

[1757] Server: Sends a formatted response to the user's terminal.

[1758] Step 16:

[1759] Terminal: Receives responses from the server and displays them in the chat window.

[1760] Step 17:

[1761] User: Review the displayed response and enter the following message. For example, "Have you had anything fun happen recently?"

[1762] Step 18:

[1763] Terminal: Sends a new message to the server.

[1764] Step 19:

[1765] Server: Receives a new message and analyzes it using the emotion engine. Example: Recognizes the emotion "happy".

[1766] Step 20:

[1767] Server: Sends recognized emotion information and messages to the generative AI.

[1768] Step 21:

[1769] Generative AI: Generates the response, "I've recently started filming a new drama, and it's a lot of fun!"

[1770] Step 22:

[1771] Server: Receives the response from the AI, formats it, and sends it to the user's terminal.

[1772] Step 23:

[1773] Terminal: Displays the response shown in the chat window to the user.

[1774] Step 24:

[1775] Server: Stores all conversations between the user and the generative AI, along with related emotional information, in a database.

[1776] Step 25:

[1777] Specific third party: The idol accesses conversation logs and sentiment information to review the content of their communication with fans.

[1778] This processing flow allows users to enjoy a realistic communication experience with idols through avatars. Furthermore, the introduction of an emotion recognition engine ensures that the generated responses are more in line with the user's emotions, resulting in a more natural and satisfying dialogue.

[1779] (Example 2)

[1780] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1781] Traditional systems had problems with user-character conversations being limited to simple responses, making it difficult to recognize and reflect emotions in the responses. Furthermore, there were insufficient means to effectively store user conversation logs and prevent unauthorized access by specific third parties, making it impossible to provide a natural, real-time conversation experience. In addition, traditional systems had inadequate user authentication and security, highlighting the need for improved user experience.

[1782] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1783] In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for analyzing the user's emotions with an emotion recognition engine, means for receiving a response from the generative AI and generating a response that reflects the emotional information, means for formatting the response and sending it back to the user, means for storing conversation logs and emotional information between the user and the generative AI, and means for making the stored conversation logs and emotional information accessible to a specific third party. This enables a natural and highly satisfying conversation experience that reflects the user's emotions. Furthermore, the stored conversation logs and emotional information allow a specific third party to review the content of communication with fans, enabling the idol to receive effective feedback. In addition, a secure authentication process is provided by means for verifying the user's authentication information and authenticating access to the system.

[1784] A "user" is an individual or group that uses the system to enjoy conversations.

[1785] "Input" refers to information that a user provides to the system, such as text messages or authentication information.

[1786] "Generative AI" is a general term for artificial intelligence technologies that generate appropriate responses based on input information.

[1787] An "emotion recognition engine" is a software module that analyzes user input and recognizes their emotional state.

[1788] A "response" refers to text or information generated by a generative AI based on user input.

[1789] "Formatting" refers to the process of arranging a response into a format necessary for the user to properly receive it.

[1790] A "conversation log" is data that records the entire history of conversations that took place between the user and the generative AI.

[1791] "Emotional information" refers to data that indicates the user's emotional state, as analyzed by an emotion recognition engine.

[1792] "Specific third parties" refers to individuals or organizations that have the authority to access, analyze, and verify conversation logs and sentiment information.

[1793] "Authentication information" refers to information such as usernames and passwords that users use when accessing a system.

[1794] "Content" is a general term for the information and services that a system provides to its users.

[1795] "Contextual information" refers to information related to a specific situation or context, and is used by generative AI to optimize responses.

[1796] This invention is a system that allows users to virtually experience a talk session with an idol using a dedicated application. This system utilizes generative AI and an emotion recognition engine to analyze the user's emotions and provide a more natural conversational experience. The entire system consists of three main components: a user terminal, a server, generative AI, and an emotion recognition engine.

[1797] The user first launches a dedicated application and enters their login information. The terminal sends the user's entered authentication information to the server, which verifies the information. If authentication is successful, the server sends dashboard information back to the user. The user selects a specific idol from the dashboard and starts a chat session.

[1798] When the talk session begins, the user types a message in the chat window and sends it. For example, they might type, "Hello, how are you?" This message is sent from the terminal to the server. The server receives the message and passes it to the emotion recognition engine for analysis. The emotion recognition engine recognizes the user's emotions and sends the analysis results to the generative AI. The generative AI generates the optimal response based on the emotional information and the idol's character setting. For example, it might generate a response like, "Hello! I'm fine. How about you?"

[1799] The server converts the generated response into the appropriate format and sends it to the user's terminal. The terminal receives this response and displays it in the chat window. The user receives this in real time and continues the conversation by typing the next message. All conversations are automatically saved by the server.

[1800] The saved conversation logs and sentiment information are accessible to the idol themselves and their management, and are used to review the content of their communication with fans. This allows for a deeper relationship between the idol and their fans, providing a natural and satisfying conversation experience.

[1801] Furthermore, the system includes mechanisms for verifying user authentication information, providing a secure authentication process. This allows users to use the system with peace of mind.

[1802] For example, if a user types "Have you had anything fun happen recently?", this message is sent to a generative AI via the server, and the emotion recognition engine recognizes the emotion as "fun." The generative AI can then generate a response such as "I've started filming a new drama recently, and it's been so much fun!" and return this to the user.

[1803] This system reduces the burden on idols to directly participate in talk events, allowing fans to enjoy talk events anytime, anywhere. Furthermore, it enables responses that reflect the user's emotional information, providing a more natural and satisfying conversational experience.

[1804] Example of a prompt:

[1805] "how are you?"

[1806] "Have you had anything fun happen recently?"

[1807] The above describes a specific embodiment of the present invention. This system allows users to enjoy natural conversations anytime, anywhere, and the stored conversation logs and emotional information can be used to provide valuable feedback to the idol themselves, helping them to deepen their communication with fans.

[1808] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1809] Step 1: Enter and submit login information.

[1810] User: The user launches the dedicated application and enters their login information (username and password).

[1811] Input: Username and password

[1812] Output: Login information data

[1813] Specific action: The user enters "user@example.com" and "password123".

[1814] Terminal: The terminal sends the entered login information to the server.

[1815] Input: Login information data

[1816] Output: HTTP request to the server

[1817] Specific operation: Send authentication information to the server using the HTTPS protocol.

[1818] Step 2: Authentication process and return of dashboard information

[1819] Server: The server compares the received authentication information with the database and verifies the authentication result. If authentication is successful, it sends the dashboard information to the terminal.

[1820] Input: Login information sent to the server

[1821] Output: Authentication results and dashboard information

[1822] Specific operation: The server compares the information with that in the database, generates a message indicating authentication success or failure, and prepares dashboard information if successful.

[1823] Terminal: The terminal displays dashboard information received from the server to the user.

[1824] Input: Dashboard information from the server

[1825] Output: Displayed on the user interface

[1826] Specific action: Displays a list of available idle users on the dashboard screen.

[1827] Step 3: Start the talk session

[1828] User: The user selects a specific idol from the dashboard and sends a request to start a talk session.

[1829] Input: Selected idol information

[1830] Output: Talk session start request

[1831] Specific action: The user selects Idol A and presses the "Start Talk Session" button.

[1832] Terminal: The terminal sends a request to the server to start a talk session.

[1833] Input: Request to start talk session

[1834] Output: Request to the server

[1835] Specific action: Send a request to the server.

[1836] Server: The server performs the talk session initialization process and sends an initialization complete message to the terminal.

[1837] Input: Request to start talk session

[1838] Output: Initialization complete message

[1839] Specific actions: Generate a session ID and load idle data.

[1840] Step 4: Enter and send your message

[1841] User: The user types a message in the chat window and clicks the send button.

[1842] Input: User-input message (e.g., "Hello, how are you?")

[1843] Output: Message data

[1844] Specific action: Type "Hello, how are you?" into the chat window and send it.

[1845] Terminal: The terminal sends the entered message to the server.

[1846] Input: Message data

[1847] Output: HTTP request to the server

[1848] Specific action: Send message data to the server.

[1849] Step 5: Emotion Recognition and Response Generation

[1850] Server: The server passes the received message to the emotion recognition engine, which analyzes the user's emotions. The analysis results are then passed to the generative AI to generate a response.

[1851] Input: Received message data

[1852] Output: Analysis data and response data for the generative AI

[1853] Specific operation: The emotion recognition engine analyzes "Hello, how are you?" and recognizes the emotion "I'm fine." The generative AI generates the response "Hello! I'm fine. How about you?"

[1854] Step 6: Response format and return

[1855] Server: The server converts the generated response into the appropriate format and sends it to the user's terminal.

[1856] Input: Generated response data

[1857] Output: Formatted response data

[1858] Specific operation: Convert the response data to JSON format and send it to the terminal via the HTTPS protocol.

[1859] Terminal: The terminal receives the formatted response and displays it in the chat window.

[1860] Input: Formatted response data

[1861] Output: Display on the user interface

[1862] Specific action: Display "Hi! I'm fine. How about you?" in the chat window.

[1863] Step 7: Saving the conversation log

[1864] Server: The server stores all conversations and their associated emotional information in a database.

[1865] Input: Message data and sentiment information

[1866] Output: Data to be saved to the database

[1867] Specific action: Save messages and sentiment information to a database in chronological order.

[1868] Step 8: Third-party access

[1869] Specific third parties: Idols and management access saved conversation logs and sentiment information to review the content of their communication with fans.

[1870] Input: Saved conversation logs and sentiment information

[1871] Output: Display data accessible to third parties

[1872] Specific actions: Search and display conversation logs and sentiment information in the administration panel.

[1873] (Application Example 2)

[1874] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1875] Existing content distribution services offer limited opportunities for users to directly interact with idols and celebrities, and a particular challenge is obtaining responses that reflect their emotions. Furthermore, traditional systems struggle to balance real-time interaction with a natural conversational experience, leaving room for improvement in terms of user satisfaction. Additionally, the burden on idols themselves to directly participate in talk events is significant, highlighting the need for new methods to achieve efficient and effective interaction with fans.

[1876] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for receiving user input, means for transmitting the input to a generative AI, means for receiving a response from the generative AI, means for formatting the response and sending it back to the user, means for saving a conversation log between the user and the generative AI, means for making the conversation log accessible to a specific third party, means for analyzing the user's emotions using an emotion recognition engine, means for the generative AI to generate a response based on the analyzed emotion information, and means for displaying the response as an avatar facial expression simulation. As a result, the user can enjoy natural conversations that reflect emotions through an avatar, reducing the burden on the idol themselves while enabling efficient and effective interaction with fans.

[1877] "Means of receiving user input" refers to functions that acquire text messages or voice data entered by the user.

[1878] "Means for sending input to a generative AI" refers to a function that transfers the received user input data to a generative AI.

[1879] "Means for receiving responses from generative AI" refers to a function that receives responses created by generative AI.

[1880] "Means of formatting and returning responses to the user" refers to a function that converts responses received from generative AI into an appropriate format for display to the user and then sends them.

[1881] "Means for saving conversation logs between users and generative AI" refers to a function that records all conversations that take place between users and generative AI and saves them for future use.

[1882] "Means of making conversation logs accessible to specific third parties" refers to a function that allows authorized third parties to view and use recorded conversation logs.

[1883] "Means of analyzing a user's emotions using an emotion recognition engine" refers to a function that automatically analyzes a user's emotions from their input data.

[1884] "A means by which a generative AI generates a response based on analyzed emotional information" refers to a function that generates an appropriate response for the user based on the analyzed emotional information.

[1885] "Means of displaying responses as avatar facial expression simulations" refers to a function that simulates and displays the facial expressions and movements of an avatar in order to visually represent the generated responses.

[1886] This invention is a system that simulates a talk session with an idol, and is configured to allow users to have a natural and highly satisfying conversation experience using an emotion recognition engine and generative AI.

[1887] Specifically, the system of the present invention operates in the following procedure.

[1888] System Overview

[1889] 1. User: The user launches the dedicated application and enters their login information.

[1890] 2. Terminal: The terminal sends login information to the server, and the server performs the authentication process.

[1891] 3. Server: The server returns dashboard information to the authenticated user, and the user selects a specific idol to start a talk session.

[1892] 4. User: The user types and sends a message in the chat window within the application.

[1893] Message processing and sentiment analysis

[1894] 1. Terminal: The terminal sends the entered message to the server.

[1895] 2. Server: The server receives user messages and analyzes them using an emotion recognition engine. The emotion recognition engine used is Transformers' Pipeline.

[1896] 3. Generative AI: Emotional information and message content are sent to the generative AI as a prompt, and an appropriate response is generated.

[1897] Response generation and display

[1898] 1. Generative AI: The generated response is returned to the server.

[1899] 2. Server: The server formats the received response and sends it to the terminal.

[1900] 3. Terminal: The terminal displays a formatted response to the user, and simultaneously displays it visually as an avatar facial expression simulation. OpenCV will be used as the software.

[1901] Saving and using conversation logs

[1902] 1. Server: Stores conversation logs and emotional information from interactions between the user and the generative AI in a database.

[1903] 2. Specific third parties: Specific third parties can access conversation logs and sentiment information, and review the content of communications with fans.

[1904] Specific example

[1905] If a user types "Hello, I'm a little tired today," the message is sent to the server. The server uses an emotion recognition engine to analyze the emotion of "tiredness" and sends it to a generative AI as a prompt. Based on this, the generative AI generates a response such as "You must be tired. Is there a particular reason why you're tired today?" This response is displayed to the user along with the avatar's facial expression.

[1906] Example of a prompt:

[1907] User's message: Hi, I'm a little tired today.

[1908] Emotion: Fatigue

[1909] response:

[1910] Thus, this invention provides users with a natural conversational experience that reflects their emotions, reduces the burden on the idol themselves, and enables efficient and effective interaction with fans.

[1911] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1912] Step 1:

[1913] The user launches a dedicated application and enters their login information. This information (such as user ID and password) is used for login authentication.

[1914] Step 2:

[1915] The terminal receives the user's login information and sends it to the server. The server compares this information with the authentication database and returns the authentication result. The input data is the user ID and password, and the output data is the success or failure of the authentication.

[1916] Step 3:

[1917] If the server successfully authenticates, it sends dashboard information back to the user. The user selects a specific idol from this dashboard and starts a chat session. The input data is the authentication result, and the output data is the dashboard information.

[1918] Step 4:

[1919] The user selects an "idle" from the dashboard, types a message in the chat window, and sends it. The input message might be something like, "Hi, how are you?"

[1920] Step 5:

[1921] The terminal receives the input message and sends it to the server. The input data is the user's message, and the output data is the message sent to the server.

[1922] Step 6:

[1923] The server receives a user's message and analyzes its emotion using an emotion recognition engine (Transformers Pipeline). The input data is the user's message, and the result of the emotion analysis is emotion information such as "joy" or "sadness." The output data is the analyzed emotion information.

[1924] Step 7:

[1925] The server sends emotion information and the user's message as a prompt to the generative AI. For example, the prompt might be in the format: "User's message: Hello, I'm a little tired today Emotion: Tired Response:". The generative AI generates a response based on this. The input data is the prompt, and the output data is the AI-generated response.

[1926] Step 8:

[1927] A generative AI generates a response based on the user's emotional information and input message, and sends it back to the server. The output data is the generated response.

[1928] Step 9:

[1929] The server formats the received response and sends it to the terminal. The input data is the response received from the generative AI, and the output data is the formatted response.

[1930] Step 10:

[1931] The terminal receives a formatted response and displays it to the user. Simultaneously, actions are performed to display an avatar's facial expression simulation. The input data consists of the formatted response and avatar instructions, while the output data consists of the response and the avatar's visual representation displayed to the user.

[1932] Step 11:

[1933] The server stores all conversation logs and their corresponding emotional information between the user and the generative AI in a database. The input data consists of the conversation content and emotional information, while the output data consists of the stored logs.

[1934] Step 12:

[1935] A specific third party, with authorization, can access conversation logs and sentiment information to review the content of communication with fans. The input data is the access request of the specific third party, and the output data is the viewable conversation logs.

[1936] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1937] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1938] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1939] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1940] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1941] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1942] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1943] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1944] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1945] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1946] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1947] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1948] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1949] 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.

[1950] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1951] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1952] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1953] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1954] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1955] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1956] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1957] The following is further disclosed regarding the embodiments described above.

[1958] (Claim 1)

[1959] A means for receiving user input,

[1960] A means of sending input to a generative AI,

[1961] A means of receiving a response from a generative AI,

[1962] A means of formatting the response and sending it back to the user,

[1963] A means of saving conversation logs between the user and the generative AI,

[1964] A system that includes means to make conversation logs accessible to specific third parties.

[1965] (Claim 2)

[1966] A means of verifying user authentication information and authenticating access to the system,

[1967] A means of providing specific content to authenticated users,

[1968] A means of exchanging messages in real time while providing content,

[1969] The system according to claim 1, further comprising:

[1970] (Claim 3)

[1971] A means of sending specific contextual information to a generative AI based on a user request,

[1972] A means for optimizing the response output by a generative AI based on contextual information,

[1973] The system according to claim 1, further comprising:

[1974] "Example 1"

[1975] (Claim 1)

[1976] A means for receiving user input,

[1977] A means of sending input to a generative AI,

[1978] A means of receiving a response from a generative AI,

[1979] A means of formatting the response and sending it back to the user,

[1980] A means of saving conversation logs between the user and the generative AI,

[1981] A means of making conversation logs accessible to specific third parties,

[1982] A means of verifying user authentication information and authenticating access to the system,

[1983] This includes means of providing specific content to authenticated users,

[1984] A means for generating a response based on a user's message using a generative AI model and displaying the response to the user,

[1985] A system that includes this.

[1986] (Claim 2)

[1987] A means of sending specific contextual information to a generative AI based on a user request,

[1988] A means for optimizing the response output by a generative AI based on contextual information,

[1989] A means of forwarding a response message to the user terminal via the server,

[1990] A means of saving conversation logs to a database and making them accessible to specific third parties later,

[1991] This includes further means that enable users to enjoy talk sessions in real time.

[1992] The system according to claim 1.

[1993] (Claim 3)

[1994] A means by which a generative AI responds to user messages based on the character settings of an idol,

[1995] A means for generating a response based on a prompt sentence to a generative AI model,

[1996] A means of formatting the generated response before it is displayed to the user,

[1997] The system according to claim 1, further comprising:

[1998] "Application Example 1"

[1999] (Claim 1)

[2000] A means for receiving user input,

[2001] A means of sending input to a generative AI,

[2002] A means of receiving a response from a generative AI,

[2003] A means of formatting the response and sending it back to the user,

[2004] A means of saving conversation logs between the user and the generative AI,

[2005] A means of making conversation logs accessible to specific third parties,

[2006] A means by which a generative AI generates a response in real time based on a user's message in specific video content,

[2007] A means of displaying the response of a generative AI in sync with video content,

[2008] A system that includes this.

[2009] (Claim 2)

[2010] A means of verifying user authentication information and authenticating access to the system,

[2011] A means of providing specific content to authenticated users,

[2012] A means of exchanging messages in real time while providing content,

[2013] The system according to claim 1, further comprising:

[2014] (Claim 3)

[2015] A means of sending specific contextual information to a generative AI based on a user request,

[2016] A means for optimizing the response output by a generative AI based on contextual information,

[2017] The system according to claim 1, further comprising:

[2018] "Example 2 of combining an emotion engine"

[2019] (Claim 1)

[2020] A means for receiving user input,

[2021] A means of sending input to a generative AI,

[2022] A means of analyzing a user's emotions using an emotion recognition engine,

[2023] A means of receiving a response from a generative AI and generating a response that reflects emotional information,

[2024] A means of formatting the response and sending it back to the user,

[2025] A means for storing conversation logs and sentiment information between the user and the generative AI,

[2026] A system that includes means of making stored conversation logs and sentiment information accessible to specific third parties.

[2027] (Claim 2)

[2028] A means of verifying user authentication information and authenticating access to the system,

[2029] A means of providing specific content to authenticated users,

[2030] A means of exchanging messages in real time while providing content,

[2031] The system according to claim 1, further comprising:

[2032] (Claim 3)

[2033] A means of sending specific contextual information to a generative AI based on a user request,

[2034] A means for optimizing the response output by a generative AI based on contextual information,

[2035] The system according to claim 1, further comprising:

[2036] "Application example 2 of combining emotional engines"

[2037] (Claim 1)

[2038] A means for receiving user input,

[2039] A means of sending input to a generative AI,

[2040] A means of receiving a response from a generative AI,

[2041] A means of formatting the response and sending it back to the user,

[2042] A means of saving conversation logs between the user and the generative AI,

[2043] A means of making conversation logs accessible to specific third parties,

[2044] A means of analyzing a user's emotions using an emotion recognition engine,

[2045] A means by which a generative AI generates a response based on analyzed emotional information,

[2046] A means of displaying the response as an avatar's facial expression simulation,

[2047] A system that includes this.

[2048] (Claim 2)

[2049] A means of verifying user authentication information and authenticating access to the system,

[2050] A means of providing specific content to authenticated users,

[2051] A means of exchanging messages in real time while providing content,

[2052] A means for optimizing the response output by a generative AI based on emotional information analyzed by an emotion recognition engine,

[2053] The system according to claim 1, further comprising:

[2054] (Claim 3)

[2055] A means of sending specific contextual information to a generative AI based on a user request,

[2056] A means for optimizing the response output by a generative AI based on contextual information,

[2057] A means of displaying the generated response as an avatar's facial expression simulation,

[2058] The system according to claim 1, further comprising: [Explanation of symbols]

[2059] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving user input, A means of sending input to a generative AI, A means of receiving a response from a generative AI, A means of formatting the response and sending it back to the user, A means of saving conversation logs between the user and the generative AI, A system that includes means to make conversation logs accessible to specific third parties.

2. A means of verifying user authentication information and authenticating access to the system, A means of providing specific content to authenticated users, A means of exchanging messages in real time while providing content, The system according to claim 1, further comprising:

3. A means of sending specific contextual information to a generative AI based on a user request, A means for optimizing the response output by a generative AI based on contextual information, The system according to claim 1, further comprising:

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