system

Abstract

Provide a system. [Solution] an input means for a user to input keywords relating to appearance, personality, and voice; a character generation means for generating a virtual character based on an input keyword; a voice communication means for performing a voice communication and a chat means for performing a chat between the generated virtual character and the user; A system including:

Description

[Technical Field]

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

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

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

[0004] Conventional systems for interacting with virtual characters have made it difficult to generate the specific character desired by the user, making it difficult to realize natural conversations with the user. Furthermore, customization of the character's appearance, personality, and voice is limited, making it difficult to provide a pseudo-romantic experience with the user's ideal character. This system solves these problems by generating an ideal character based on keywords entered by the user, and allowing natural conversations with that character through voice calls and chats. [Means for solving the problem]

[0005] The present invention provides a system that includes an input means for a user to input keywords related to appearance, personality, and voice; a character generation means for generating a virtual character based on the input keywords; a voice communication means for conducting voice communication between the generated virtual character and the user; and a chat means for conducting chats. Specifically, the system uses a character generation algorithm that uses a 3D model, personality attributes, and a voice database to select appropriate character data based on the input keywords to generate the virtual character. The system also includes a natural language processing engine that analyzes messages input by the user and generates responses accordingly, and a text-to-speech synthesis means that generates voice in response to the user's input using voice synthesis technology. This allows the user to generate the character of their dreams and engage in natural conversations with that character.

[0006] The "input means" is an interface that allows the user to input keywords related to appearance, personality, and voice.

[0007] The "character generation means" refers to a process and mechanism for generating a virtual character based on an input keyword.

[0008] The "voice communication means" is a means for conducting voice communication between the generated virtual character and the user.

[0009] The "chat means" is a means for conducting text chat between the generated virtual character and the user.

[0010] A "character generation algorithm" is a series of calculation procedures and a set of rules for selecting appropriate character data based on input keywords.

[0011] A "natural language processing engine" is a software or hardware component that analyzes messages entered by users and generates responses accordingly.

[0012] The "text-to-speech synthesis means" is a means for generating speech in response to a user's input using a technology for converting text data into speech.

[0013] A "3D model" is three-dimensional shape data that is virtually generated on a computer.

[0014] "Personality attributes" are data that define the personality and behavioral characteristics of a virtual character.

[0015] A "voice database" is a database that stores voice samples for generating the voices of virtual characters. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10]1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention is a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character through voice calls and chats.

[0038] Creating a User Profile

[0039] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0040] Character Generation

[0041] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0042] Call and chat features

[0043] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0044] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0045] Specific examples

[0046] For example, the following dialogue is possible:

[0047] When a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generates a response such as "I had a great time today! I went to the park and looked at the flowers. How was it for you?" based on the character's personality. The generated response is converted into speech using a text-to-speech synthesis means and sent to the device. The device plays back this speech and presents it to the user.

[0048] This allows the user to have natural conversations with the generated virtual characters and enjoy a realistic pseudo-romance experience.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] The user launches an application.

[0052] Step 2:

[0053] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0054] Step 3:

[0055] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0056] Step 4:

[0057] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0058] Step 5:

[0059] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0060] Step 6:

[0061] The server retrieves and analyzes the user's profile information from the database.

[0062] Step 7:

[0063] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0064] Step 8:

[0065] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0066] Step 9:

[0067] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0068] Step 10:

[0069] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0070] Step 11:

[0071] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[0072] Step 12:

[0073] The server generates a response in response to the user's message, generates a voice using a text-to-speech synthesis means, and transmits the generated text and voice to the terminal.

[0074] Step 13:

[0075] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user.

[0076] Step 14:

[0077] The user then inputs a message or voice again, and the conversation continues.

[0078] This is the specific processing flow of the LoveBot Factory program, which allows users to enjoy natural conversations with their ideal characters.

[0079] Example 1

[0080] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0081] Conventional virtual character generation and dialogue systems have had problems such as low accuracy in automatic generation based on user-entered information and a lack of naturalness in dialogue, making it difficult for users to enjoy realistic dialogue with their ideal characters.

[0082] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0083] In this invention, the server includes input means for the user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords and profile information, dialogue means for conducting a text-to-voice dialogue between the generated virtual character and the user using natural language processing, and text-to-voice synthesis means for converting the responses of the generated virtual character into voice, thereby enabling the user to enjoy highly accurate and realistic dialogue with their ideal virtual character.

[0084] The "input means" is an interface that allows the user to input keywords related to appearance, personality, and voice.

[0085] The "character generation means" is a function that generates a virtual character based on input keywords and profile information.

[0086] The "interaction means" is a function that uses natural language processing to conduct a dialogue between the generated virtual character and the user using text and voice.

[0087] "Text-to-speech synthesis means" is a technology that converts the responses of the generated virtual character into voice.

[0088] A "3D model" is data that represents the three-dimensional shape of a virtual character.

[0089] "Personality attributes" are data that determine the personality of a virtual character.

[0090] The "voice database" is a database that stores voice data for generating the voices of virtual characters.

[0091] A "natural language processing engine" is a software engine that analyzes text entered by a user and generates an appropriate response.

[0092] An "algorithm" is a calculation method for selecting and generating optimal character data based on input keywords.

[0093] This invention provides a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character. This system is realized using the following hardware and software.

[0094] Hardware and software used

[0095] Hardware

[0096] User device: such as a smartphone, tablet, or personal computer.

[0097] Server: Server equipment for remote data processing.

[0098] software

[0099] Application: Software that provides an interface for users to interact with.

[0100] Database: A database for storing user profiles, 3D models, personality attributes, and voice data.

[0101] Natural language processing engine: A software engine that analyzes a user's message and generates a response.

[0102] Text-to-speech software: Software for converting generated responses into speech.

[0103] Data processing and calculation

[0104] Creating a User Profile

[0105] When a user launches the application, they are directed to a login screen or a new registration screen. They log in by entering their email address and password, or register. Once registration is complete, the user moves to a profile setting screen where they enter their name, age, gender, and keywords for their ideal character. This information is sent from the user's device to the server and stored in a database.

[0106] Character Generation

[0107] The server generates a virtual character based on the keywords and profile information sent by the user. Specifically, it uses the 3D model library, personality attribute database, and voice database in the database to select a character that matches the keywords. The server then runs a character generation algorithm to generate a character by combining the optimal 3D model, personality data, and voice data. The generated character data is sent to the user's device and applied to the user's profile.

[0108] Call and chat features

[0109] To interact with the generated character, the user presses the call or chat button in the application. The device sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user types and sends a message, the device sends the message to the server. The server uses a natural language processing engine to analyze the message and generate a response accordingly. The generated response is converted into speech using text-to-speech software and sent to the user's device. In the case of a voice call, the device plays the audio, and in the case of a chat, it displays the text.

[0110] Specific examples

[0111] For example, if a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generate a response based on the character's personality: "I had a great time today! I went to the park and looked at the flowers. How was it for you?" The generated response is converted into speech using text-to-speech software and sent to the device. The device then plays this speech and presents it to the user.

[0112] Prompt Sentence Examples

[0113] "Please explain in detail the process steps of a system that generates an ideal virtual character and interacts with that character in a natural way. Please explain the specific operation of each step, from creating a user profile to character generation and the ability to make calls and chat."

[0114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0115] Step 1: Create a user profile

[0116] The user starts the application and moves to the login screen or new registration screen. The user enters their email address and password to log in or register. This input information is sent from the device to the server, and the server saves the user information in a database. Next, the user enters their name, age, gender, and ideal character keywords on the profile setting screen. This profile information is sent from the device back to the server and saved in the database.

[0117] Step 2: Keyword analysis and character generation

[0118] The server receives the user's keywords and profile information stored in the database and performs keyword analysis. Specifically, it selects appropriate data from the database, including 3D models, personality attributes, and voice data. The server then executes a character generation algorithm and combines this data to generate a virtual character. The generated character data is customized based on the user's profile information, and the final product is sent from the server to the user's device. The user can view the generated character on their device.

[0119] Step 3: Start a call or chat

[0120] When a user presses the call or chat button within the application, the request is sent from the device to the server. The server receives the request and initializes the state of the corresponding character. This initialization includes analyzing the existing message history and the user's past comments. This prepares the server for the next action.

[0121] Step 4: Sending and parsing messages

[0122] When a user types and sends a message, the text data is sent from the device to the server. The server uses a natural language processing engine to analyze the received message. During the analysis process, the data is processed to understand what the user said and generate the most appropriate response. This is done using keyword matching and machine learning models. The generated response is temporarily stored in text format on the server.

[0123] Step 5: Text-to-speech synthesis and output

[0124] The server converts the generated text response into speech using text-to-speech software. This conversion process is configured to appropriately reflect the character's voice quality and speaking style. The generated speech data is sent from the server to the user's device, which plays the speech and, in the case of chat, displays the text.

[0125] (Application example 1)

[0126] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0127] Conventional virtual character interaction systems have limited customization to meet users' interests and preferences, making it difficult to meet specific needs, especially those related to shopping and product information. Furthermore, they do not adequately provide functions for users to quickly obtain product information or receive product recommendations through voice or chat. As a result, the experience users can gain through virtual characters is limited, and a means to improve the shopping experience has been sought.

[0128] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0129] In this invention, the server includes input means for a user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords, voice communication means for conducting voice communication and chat means between the generated virtual character and the user, information provision means for providing product information selected by the user, natural language processing means for generating a character response using a generation AI model based on a prompt sentence, and display means for displaying the generated customized character on a smart device. This enables the user to quickly obtain product information and receive appropriate product recommendations while interacting with the virtual character.

[0130] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[0131] "Character generation means" refers to a device or software for generating a virtual character based on an input keyword.

[0132] "Voice communication means" refers to a device or software for conducting voice communication between the generated virtual character and the user.

[0133] "Chat means" refers to a device or software for conducting text chat between a generated virtual character and a user.

[0134] The "information providing means" is a device or software for providing product information selected by the user.

[0135] A "natural language processing means" is a device or software for generating character responses using a generative AI model based on a prompt sentence.

[0136] "Display means" refers to a device or interface for displaying the generated customized character on a smart device.

[0137] To implement this invention, a user first launches the application and is directed to a login screen or new registration screen. The user logs in by entering an email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the terminal to the server and stored in a database.

[0138] The server generates a virtual character based on the keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. It then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0139] To interact with the generated character, the user presses the call or chat button in the application. The terminal sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is converted into voice using a text-to-speech synthesis means, and the generated text and voice data are sent to the user terminal. The terminal presents this data to the user, playing the voice in the case of a voice call or displaying the text in the case of a chat.

[0140] A distinctive feature of this system is the provision of product information. Users can interact with a virtual character while shopping to request specific product information. Using an AI model generated based on the prompt, product descriptions, recommendations, and coupon information can be provided in real time.

[0141] For example, if a user says, "Tell me about this shirt," the message is sent from the device to the server. The server uses a generative AI model to analyze the prompt, "User: Tell me about this shirt\nVirtual Assistant:." The server generates a response, "This is a new cotton shirt, currently 20% off. It's soft to the touch and extremely durable." The server synthesizes this response into speech and sends it to the user's device. The device then plays the speech and provides it to the user.

[0142] The present invention allows users to efficiently obtain product information while interacting with their ideal virtual character, enabling them to enjoy a more fulfilling shopping experience.

[0143] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0144] Step 1:

[0145] A user launches an application and is directed to a login screen or a new registration screen. The user logs in by entering their email address and password, and if necessary, registers. The entered email address and password are sent to the authentication server, and if authentication is successful, the user data is returned.

[0146] Step 2:

[0147] Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. They also enter keywords for their ideal character's appearance, personality, and voice. This information is sent from the device to the server and saved in a database. Here, the input information is saved as user profile data.

[0148] Step 3:

[0149] The server generates a virtual character based on the keywords submitted by the user. Specifically, it runs a character generation algorithm by referencing a 3D model library, personality attribute database, and voice database. It combines the appropriate 3D model, personality data, and voice data to generate the final character, and sends that data to the user's device. The output is character data, which is applied to the user profile.

[0150] Step 4:

[0151] To interact with the generated character, the user presses a call or chat button in the application. The device sends a call or chat start request to the server, and the server receives this request and initializes the character's state.

[0152] Step 5:

[0153] When a user types and sends a message, the device sends it to the server. The server uses a generative AI model based on the prompt to analyze the user's message and generate an appropriate response. In this process, the input text message is treated as part of the prompt and analyzed by a natural language processing engine. The final result is the character's response.

[0154] Step 6:

[0155] The generated response is converted into voice using a text-to-speech synthesizer. The server sends the generated text and voice data to the user terminal. The output at this point is a voice file and text data.

[0156] Step 7:

[0157] The device presents the received voice and text to the user. In the case of a voice call, the voice is played, and in the case of a chat, the text is displayed on the screen. This is the final output that reaches the user's visual and auditory senses.

[0158] Step 8:

[0159] When a user requests specific product information while shopping, the device sends the request to the server, which uses a generative AI model to generate product information based on the prompt, providing the user with a detailed product description and coupon information.

[0160] For example, in response to a user's voice input of "Tell me about this shirt," the server generates "This shirt is a new cotton shirt, and it's currently 20% off," and sends and displays this as voice and text to the device.

[0161] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0162] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine that recognizes the user's emotions and enables conversations based on those emotions.

[0163] Creating a User Profile

[0164] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0165] Character Generation

[0166] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0167] Call and chat features

[0168] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0169] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0170] Introducing the Emotion Engine

[0171] Furthermore, the use of an emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[0172] Specific examples

[0173] For example, if a user types "I'm tired today," the message is sent from the device to the server. The server analyzes the message using a natural language processing engine and an emotion engine, and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," based on the character's personality and emotion, and converts it into voice using text-to-speech synthesis. This voice data is sent to the user's device, which plays it back. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer simulated romantic experience.

[0174] The above is a specific embodiment of the Lovebot Factory system including an emotion engine, which recognizes the user's emotions in real time and provides natural and personalized interactions.

[0175] The processing flow will be explained below.

[0176] Step 1:

[0177] The user launches an application.

[0178] Step 2:

[0179] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0180] Step 3:

[0181] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0182] Step 4:

[0183] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0184] Step 5:

[0185] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0186] Step 6:

[0187] The server retrieves and analyzes the user's profile information from the database.

[0188] Step 7:

[0189] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0190] Step 8:

[0191] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0192] Step 9:

[0193] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0194] Step 10:

[0195] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0196] Step 11:

[0197] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[0198] Step 12:

[0199] The server activates an emotion engine based on the user's message and analyzes the user's emotion.

[0200] Step 13:

[0201] The server adjusts the response of the virtual character based on the results of the emotion engine.

[0202] Step 14:

[0203] The response generated by the server is converted into speech using a text-to-speech synthesis means, and the generated text and speech are sent to the terminal.

[0204] Step 15:

[0205] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user. The user then inputs another message or voice message, and the conversation continues.

[0206] Step 16:

[0207] During and after the conversation, the server stores the emotional data analyzed by the emotion engine in a database and reflects it in future conversations.

[0208] This is the specific processing flow of the LoveBot Factory system, which includes an emotion engine. This system recognizes the user's emotions in real time and provides natural and personalized interactions.

[0209] Example 2

[0210] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0211] While conventional virtual character generation systems were able to generate characters based on user input, they struggled to properly recognize the user's emotions during interactions and generate natural and personalized responses based on those emotions. Furthermore, the lack of emotion analysis and response adjustment capabilities limited the user experience.

[0212] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for the user to input keywords related to appearance, personality, and voice, a character generation means for generating a virtual character based on the input keywords, a voice call means for conducting a voice call and a chat means for conducting a chat between the generated virtual character and the user, an emotion analysis means for analyzing emotions from a message input by the user, and a response adjustment means for adjusting the responses of the virtual character based on the analyzed emotions. This makes it possible to recognize the user's emotions in real time and to have natural and personalized conversations based on the emotions.

[0213] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[0214] "Character generation means" refers to a program or algorithm for generating a virtual character based on input keywords.

[0215] "Voice communication means" refers to a system or device for conducting voice communication between the generated virtual character and the user.

[0216] "Chat means" refers to a system or device for conducting text-based chat between a generated virtual character and a user.

[0217] The "emotion analysis means" is a program or algorithm for analyzing emotions from a message input by a user.

[0218] The "response adjustment means" is a system or program for adjusting the responses of the virtual character based on the analyzed emotions.

[0219] A "three-dimensional model" is digital data used to represent the appearance of a virtual character in three dimensions.

[0220] "Personality attributes" are data for defining the personality and behavioral characteristics of a virtual character.

[0221] The "voice database" is a database that stores voice samples for generating the voices of virtual characters and data for voice synthesis.

[0222] A "character generation algorithm" is a program or calculation procedure for selecting appropriate character data based on input keywords and generating a virtual character.

[0223] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine for emotion analysis, recognizes the user's emotions, and realizes conversations based on those emotions.

[0224] Creating a User Profile

[0225] The user launches the application and the device displays a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database on the server.

[0226] Character Generation

[0227] The server generates a virtual character based on keywords sent by the user. Specifically, the server uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm and combines the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile. The device receives this character data and displays and plays the character's 3D model, personality, and voice to the user.

[0228] Call and chat features

[0229] When a user presses the call or chat button in the application, the terminal sends a call or chat start request to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The server converts the response into speech using a text-to-speech synthesis means and sends the generated text and speech data to the user terminal. The terminal plays the audio or displays the chat text.

[0230] Introducing the Emotion Engine

[0231] The emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[0232] Specific examples

[0233] For example, if a user types and sends "I'm tired today," the device sends this message to the server. The server analyzes this message using a natural language processing engine and an emotion engine and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," and converts it into voice using a text-to-speech synthesis means. The voice data is sent to the user's device, and the device plays the voice. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer user experience.

[0234] Prompt Sentence Examples

[0235] "How can I define my ideal character's appearance?"

[0236] "I'd love to know how the characters react when they're tired."

[0237] This system allows users to interact with virtual characters that understand and empathize with their emotions in real time.

[0238] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0239] Step 1:

[0240] The user launches an application and the device displays a login screen or new registration screen. The user enters an email address and password to log in or register. The input information (email address, password, etc.) is sent from the device to the server. The server authenticates the input information and returns the authentication result to the device. The device receives the authentication result and notifies the user that the login or new registration has been completed.

[0241] Step 2:

[0242] The user goes to the profile setting screen and enters basic information such as their name, age, and gender, as well as keywords for the appearance, personality, and voice of their ideal character. The information is sent from the device to the server, which then stores this information in a database.

[0243] Step 3:

[0244] The server receives the keyword sent by the user and starts the character generation process. The server searches the 3D model library, personality attribute database, and voice database to select appropriate data. The server runs the character generation algorithm and generates a virtual character by combining the selected 3D model, personality data, and voice data. The generated character data is sent from the server to the device.

[0245] Step 4:

[0246] The device receives the character data from the server and presents it to the user. A 3D model of the character is displayed, and personality information and voice data are applied. The user can then review the generated virtual character and make corrections or changes as necessary.

[0247] Step 5:

[0248] To start a call or chat, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives the request and initializes the character's state. The initial state of the call or chat is sent to the device, which displays it to the user.

[0249] Step 6:

[0250] The user inputs a message and presses the send button. The input message is sent from the terminal to the server. The server uses a natural language processing engine to analyze the input message and generate an appropriate reply. When the server generates a reply, it analyzes the user's emotions using a sentiment analysis means and adjusts the reply using a response adjustment means.

[0251] Step 7:

[0252] The server passes the generated response to a text-to-speech synthesis means, which converts the response into speech. The generated text and speech data are sent from the server to the terminal. The terminal plays back the received speech data and displays the chat text. This allows the user to enjoy natural conversation with the virtual character.

[0253] (Application example 2)

[0254] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0255] Conventional virtual character systems have limited interaction with users and lack the ability to respond to user emotions, resulting in a poor user experience. Furthermore, interfaces for smart devices are not optimized enough, making it difficult to achieve natural and personalized interactions. Furthermore, more advanced technologies are needed to improve the quality of customer support and customer service in virtual stores.

[0256] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0257] In this invention, the server includes emotion analysis means for analyzing the emotion of the user, response generation means for adjusting the response of the virtual character based on the emotion analysis means, and voice conversion means for converting the generated response into voice, thereby enabling the user to have a natural and personalized conversation with the virtual character using the smart device.

[0258] The "input means" is a means for the user to input keywords relating to appearance, personality, and voice.

[0259] The "character generation means" is a means for generating a virtual character based on a keyword input by a user.

[0260] The "voice communication means" is a means for conducting voice communication between the generated virtual character and the user.

[0261] The "chat means" is a means for chatting between the generated virtual character and the user.

[0262] The "emotion analysis means" is a means for analyzing the user's emotions.

[0263] The "response generation means" is a means for adjusting the response of the virtual character based on the emotion analysis means.

[0264] The "voice conversion means" is a means for converting the generated response into voice.

[0265] "Interface means" refers to a means by which a user interacts with a virtual character through a smart device.

[0266] A "three-dimensional model" is data used to represent the shape and appearance of a virtual character in three dimensions.

[0267] "Personality attributes" are data for defining personality traits that influence the behavior and responses of a virtual character.

[0268] A "voice database" is a database for storing voices used by virtual characters.

[0269] The "character generation algorithm" is an algorithm for selecting appropriate character data based on input keywords.

[0270] The present invention is a system that allows users to input keywords related to appearance, personality, and voice, generate a virtual character based on that information, and enjoy natural conversations via voice calls and chats. Furthermore, this system incorporates an emotion analysis function, enabling it to generate responses based on the user's emotions.

[0271] The system consists of the following hardware and software:

[0272] Hardware: Smart devices (e.g., smart glasses, smartphones)

[0273] software:

[0274] EmotionRecognition (emotion analysis library)

[0275] TextToSpeech (speech conversion library)

[0276] SmartGlass(R) esInterface (Smart Device Interface)

[0277] First, a user inputs keywords related to appearance, personality, and voice using the input means. The input keywords are sent to the server, and a virtual character is generated by the character generation means. The character generation uses a three-dimensional model, personality attributes, and voice database. The character generation algorithm selects appropriate character data and generates the virtual character.

[0278] Next, when the user starts a conversation with the virtual character using voice communication means or chat means, the emotion analysis means analyzes the user's message. For example, if the user inputs "I'm tired today," the emotion analysis means recognizes the emotion "tired" from this message. The server generates an appropriate reply using the response generation means that adjusts the response of the virtual character based on the emotion analysis result.

[0279] The generated response is converted into voice data using a voice conversion means, and this voice data is sent to the user's terminal via the smart device interface, where the terminal plays the voice in the case of a voice call, or displays the text in the case of a chat.

[0280] As a concrete example, consider the case where a user enters a message like this:

[0281] User: "Tell me about this product."

[0282] Virtual character: "Of course! This is our latest model, and it's super comfortable. Plus, it's on sale for 30% off."

[0283] In this way, users can interact with virtual characters in a natural way while their emotions are analyzed in the virtual store, providing a more personalized customer experience and improving the quality of virtual shopping.

[0284] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0285] Step 1:

[0286] The user uses the input means to input keywords relating to appearance, personality, and voice.

[0287] Input: Keywords (e.g. appearance, personality, voice)

[0288] Data processing: Send the entered keywords to the server

[0289] Output: Keyword data sent to the server

[0290] Step 2:

[0291] The server uses a character generation means to generate a virtual character based on the input keyword.

[0292] Input: Keyword data

[0293] Data processing: Select appropriate character data using the 3D model library, personality attribute database, and voice database to generate a virtual character.

[0294] Output: Generated virtual character data

[0295] Step 3:

[0296] The server transmits the generated character data to the user terminal.

[0297] Input: Generated virtual character data

[0298] Data processing: Send character data using communication means

[0299] Output: Character data sent to the user's terminal

[0300] Step 4:

[0301] The user starts a conversation with the virtual character using a voice call means or a chat means.

[0302] Input: Dialogue initiation request (voice or text)

[0303] Data processing: Send a dialogue start request to the server

[0304] Output: Conversation initiation request sent to the server

[0305] Step 5:

[0306] The server uses sentiment analysis means to analyze the user's message.

[0307] Input: Interaction start request, user message

[0308] Data processing: Analyze emotions from user messages using the EmotionRecognition library

[0309] Output: Parsed emotion data

[0310] Step 6:

[0311] The server uses the response generation means to generate a response for the virtual character based on the emotion analysis result.

[0312] Input: Emotion data, character data

[0313] Data processing: Generate appropriate responses based on sentiment analysis results

[0314] Output: The generated response message

[0315] Step 7:

[0316] The server converts the generated response message into voice using a voice conversion means.

[0317] Input: Response message

[0318] Data processing: Convert the response message into audio data using the TextToSpeech library

[0319] Output: Generated audio data

[0320] Step 8:

[0321] The server transmits the generated voice data to the user terminal.

[0322] Input: Generated audio data

[0323] Data processing: Sending voice data using communication means

[0324] Output: Audio data sent to the user's device

[0325] Step 9:

[0326] The user's device plays the received audio data, or in the case of chat, displays the text.

[0327] Input: Voice data or text message

[0328] Data processing: Play audio data or display text messages using SmartGlassesInterface

[0329] Output: The audio or text display presented to the user

[0330] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0331] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0332] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0333] [Second embodiment]

[0334] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0335] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0336] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0337] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0338] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0339] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0340] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0341] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0342] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0343] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0344] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0345] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0346] The present invention is a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character through voice calls and chats.

[0347] Creating a User Profile

[0348] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0349] Character Generation

[0350] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0351] Call and chat features

[0352] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0353] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0354] Specific examples

[0355] For example, the following dialogue is possible:

[0356] When a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generates a response such as "I had a great time today! I went to the park and looked at the flowers. How was it for you?" based on the character's personality. The generated response is converted into speech using a text-to-speech synthesis means and sent to the device. The device plays back this speech and presents it to the user.

[0357] This allows the user to have natural conversations with the generated virtual characters and enjoy a realistic pseudo-romance experience.

[0358] The processing flow will be explained below.

[0359] Step 1:

[0360] The user launches an application.

[0361] Step 2:

[0362] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0363] Step 3:

[0364] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0365] Step 4:

[0366] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0367] Step 5:

[0368] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0369] Step 6:

[0370] The server retrieves and analyzes the user's profile information from the database.

[0371] Step 7:

[0372] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0373] Step 8:

[0374] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0375] Step 9:

[0376] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0377] Step 10:

[0378] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0379] Step 11:

[0380] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[0381] Step 12:

[0382] The server generates a response in response to the user's message, generates a voice using a text-to-speech synthesis means, and transmits the generated text and voice to the terminal.

[0383] Step 13:

[0384] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user.

[0385] Step 14:

[0386] The user then inputs a message or voice again, and the conversation continues.

[0387] This is the specific processing flow of the LoveBot Factory program, which allows users to enjoy natural conversations with their ideal characters.

[0388] Example 1

[0389] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0390] Conventional virtual character generation and dialogue systems have had problems such as low accuracy in automatic generation based on user-entered information and a lack of naturalness in dialogue, making it difficult for users to enjoy realistic dialogue with their ideal characters.

[0391] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0392] In this invention, the server includes input means for the user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords and profile information, dialogue means for conducting a text-to-voice dialogue between the generated virtual character and the user using natural language processing, and text-to-voice synthesis means for converting the responses of the generated virtual character into voice, thereby enabling the user to enjoy highly accurate and realistic dialogue with their ideal virtual character.

[0393] The "input means" is an interface that allows the user to input keywords related to appearance, personality, and voice.

[0394] The "character generation means" is a function that generates a virtual character based on input keywords and profile information.

[0395] The "interaction means" is a function that uses natural language processing to conduct a dialogue between the generated virtual character and the user using text and voice.

[0396] "Text-to-speech synthesis means" is a technology that converts the responses of the generated virtual character into voice.

[0397] A "3D model" is data that represents the three-dimensional shape of a virtual character.

[0398] "Personality attributes" are data that determine the personality of a virtual character.

[0399] The "voice database" is a database that stores voice data for generating the voices of virtual characters.

[0400] A "natural language processing engine" is a software engine that analyzes text entered by a user and generates an appropriate response.

[0401] An "algorithm" is a calculation method for selecting and generating optimal character data based on input keywords.

[0402] This invention provides a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character. This system is realized using the following hardware and software.

[0403] Hardware and software used

[0404] Hardware

[0405] User device: such as a smartphone, tablet, or personal computer.

[0406] Server: Server equipment for remote data processing.

[0407] software

[0408] Application: Software that provides an interface for users to interact with.

[0409] Database: A database for storing user profiles, 3D models, personality attributes, and voice data.

[0410] Natural language processing engine: A software engine that analyzes a user's message and generates a response.

[0411] Text-to-speech software: Software for converting generated responses into speech.

[0412] Data processing and calculation

[0413] Creating a User Profile

[0414] When a user launches the application, they are directed to a login screen or a new registration screen. They log in by entering their email address and password, or register. Once registration is complete, the user moves to a profile setting screen where they enter their name, age, gender, and keywords for their ideal character. This information is sent from the user's device to the server and stored in a database.

[0415] Character Generation

[0416] The server generates a virtual character based on the keywords and profile information sent by the user. Specifically, it uses the 3D model library, personality attribute database, and voice database in the database to select a character that matches the keywords. The server then runs a character generation algorithm to generate a character by combining the optimal 3D model, personality data, and voice data. The generated character data is sent to the user's device and applied to the user's profile.

[0417] Call and chat features

[0418] To interact with the generated character, the user presses the call or chat button in the application. The device sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user types and sends a message, the device sends the message to the server. The server uses a natural language processing engine to analyze the message and generate a response accordingly. The generated response is converted into speech using text-to-speech software and sent to the user's device. In the case of a voice call, the device plays the audio, and in the case of a chat, it displays the text.

[0419] Specific examples

[0420] For example, if a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generate a response based on the character's personality: "I had a great time today! I went to the park and looked at the flowers. How was it for you?" The generated response is converted into speech using text-to-speech software and sent to the device. The device then plays this speech and presents it to the user.

[0421] Prompt Sentence Examples

[0422] "Please explain in detail the process steps of a system that generates an ideal virtual character and interacts with that character in a natural way. Please explain the specific operation of each step, from creating a user profile to character generation and the ability to make calls and chat."

[0423] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0424] Step 1: Create a user profile

[0425] The user starts the application and moves to the login screen or new registration screen. The user enters their email address and password to log in or register. This input information is sent from the device to the server, and the server saves the user information in a database. Next, the user enters their name, age, gender, and ideal character keywords on the profile setting screen. This profile information is sent from the device back to the server and saved in the database.

[0426] Step 2: Keyword analysis and character generation

[0427] The server receives the user's keywords and profile information stored in the database and performs keyword analysis. Specifically, it selects appropriate data from the database, including 3D models, personality attributes, and voice data. The server then executes a character generation algorithm and combines this data to generate a virtual character. The generated character data is customized based on the user's profile information, and the final product is sent from the server to the user's device. The user can view the generated character on their device.

[0428] Step 3: Start a call or chat

[0429] When a user presses the call or chat button within the application, the request is sent from the device to the server. The server receives the request and initializes the state of the corresponding character. This initialization includes analyzing the existing message history and the user's past comments. This prepares the server for the next action.

[0430] Step 4: Sending and parsing messages

[0431] When a user types and sends a message, the text data is sent from the device to the server. The server uses a natural language processing engine to analyze the received message. During the analysis process, the data is processed to understand what the user said and generate the most appropriate response. This is done using keyword matching and machine learning models. The generated response is temporarily stored in text format on the server.

[0432] Step 5: Text-to-speech synthesis and output

[0433] The server converts the generated text response into speech using text-to-speech software. This conversion process is configured to appropriately reflect the character's voice quality and speaking style. The generated speech data is sent from the server to the user's device, which plays the speech and, in the case of chat, displays the text.

[0434] (Application example 1)

[0435] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0436] Conventional virtual character interaction systems have limited customization to meet users' interests and preferences, making it difficult to meet specific needs, especially those related to shopping and product information. Furthermore, they do not adequately provide functions for users to quickly obtain product information or receive product recommendations through voice or chat. As a result, the experience users can gain through virtual characters is limited, and a means to improve the shopping experience has been sought.

[0437] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0438] In this invention, the server includes input means for a user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords, voice communication means for conducting voice communication and chat means between the generated virtual character and the user, information provision means for providing product information selected by the user, natural language processing means for generating a character response using a generation AI model based on a prompt sentence, and display means for displaying the generated customized character on a smart device. This enables the user to quickly obtain product information and receive appropriate product recommendations while interacting with the virtual character.

[0439] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[0440] "Character generation means" refers to a device or software for generating a virtual character based on an input keyword.

[0441] "Voice communication means" refers to a device or software for conducting voice communication between the generated virtual character and the user.

[0442] "Chat means" refers to a device or software for conducting text chat between a generated virtual character and a user.

[0443] The "information providing means" is a device or software for providing product information selected by the user.

[0444] A "natural language processing means" is a device or software for generating character responses using a generative AI model based on a prompt sentence.

[0445] "Display means" refers to a device or interface for displaying the generated customized character on a smart device.

[0446] To implement this invention, a user first launches the application and is directed to a login screen or new registration screen. The user logs in by entering an email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the terminal to the server and stored in a database.

[0447] The server generates a virtual character based on the keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. It then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0448] To interact with the generated character, the user presses the call or chat button in the application. The terminal sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is converted into voice using a text-to-speech synthesis means, and the generated text and voice data are sent to the user terminal. The terminal presents this data to the user, playing the voice in the case of a voice call or displaying the text in the case of a chat.

[0449] A distinctive feature of this system is the provision of product information. Users can interact with a virtual character while shopping to request specific product information. Using an AI model generated based on the prompt, product descriptions, recommendations, and coupon information can be provided in real time.

[0450] For example, if a user says, "Tell me about this shirt," the message is sent from the device to the server. The server uses a generative AI model to analyze the prompt, "User: Tell me about this shirt\nVirtual Assistant:." The server generates a response, "This is a new cotton shirt, currently 20% off. It's soft to the touch and extremely durable." The server synthesizes this response into speech and sends it to the user's device. The device then plays the speech and provides it to the user.

[0451] The present invention allows users to efficiently obtain product information while interacting with their ideal virtual character, enabling them to enjoy a more fulfilling shopping experience.

[0452] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0453] Step 1:

[0454] A user launches an application and is directed to a login screen or a new registration screen. The user logs in by entering their email address and password, and if necessary, registers. The entered email address and password are sent to the authentication server, and if authentication is successful, the user data is returned.

[0455] Step 2:

[0456] Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. They also enter keywords for their ideal character's appearance, personality, and voice. This information is sent from the device to the server and saved in a database. Here, the input information is saved as user profile data.

[0457] Step 3:

[0458] The server generates a virtual character based on the keywords submitted by the user. Specifically, it runs a character generation algorithm by referencing a 3D model library, personality attribute database, and voice database. It combines the appropriate 3D model, personality data, and voice data to generate the final character, and sends that data to the user's device. The output is character data, which is applied to the user profile.

[0459] Step 4:

[0460] To interact with the generated character, the user presses a call or chat button in the application. The device sends a call or chat start request to the server, and the server receives this request and initializes the character's state.

[0461] Step 5:

[0462] When a user types and sends a message, the device sends it to the server. The server uses a generative AI model based on the prompt to analyze the user's message and generate an appropriate response. In this process, the input text message is treated as part of the prompt and analyzed by a natural language processing engine. The final result is the character's response.

[0463] Step 6:

[0464] The generated response is converted into voice using a text-to-speech synthesizer. The server sends the generated text and voice data to the user terminal. The output at this point is a voice file and text data.

[0465] Step 7:

[0466] The device presents the received voice and text to the user. In the case of a voice call, the voice is played, and in the case of a chat, the text is displayed on the screen. This is the final output that reaches the user's visual and auditory senses.

[0467] Step 8:

[0468] When a user requests specific product information while shopping, the device sends the request to the server, which uses a generative AI model to generate product information based on the prompt, providing the user with a detailed product description and coupon information.

[0469] For example, in response to a user's voice input of "Tell me about this shirt," the server generates "This shirt is a new cotton shirt, and it's currently 20% off," and sends and displays this as voice and text to the device.

[0470] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0471] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine that recognizes the user's emotions and enables conversations based on those emotions.

[0472] Creating a User Profile

[0473] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0474] Character Generation

[0475] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0476] Call and chat features

[0477] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0478] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0479] Introducing the Emotion Engine

[0480] Furthermore, the use of an emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[0481] Specific examples

[0482] For example, if a user types "I'm tired today," the message is sent from the device to the server. The server analyzes the message using a natural language processing engine and an emotion engine, and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," based on the character's personality and emotion, and converts it into voice using text-to-speech synthesis. This voice data is sent to the user's device, which plays it back. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer simulated romantic experience.

[0483] The above is a specific embodiment of the Lovebot Factory system including an emotion engine, which recognizes the user's emotions in real time and provides natural and personalized interactions.

[0484] The processing flow will be explained below.

[0485] Step 1:

[0486] The user launches an application.

[0487] Step 2:

[0488] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0489] Step 3:

[0490] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0491] Step 4:

[0492] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0493] Step 5:

[0494] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0495] Step 6:

[0496] The server retrieves and analyzes the user's profile information from the database.

[0497] Step 7:

[0498] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0499] Step 8:

[0500] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0501] Step 9:

[0502] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0503] Step 10:

[0504] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0505] Step 11:

[0506] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[0507] Step 12:

[0508] The server activates an emotion engine based on the user's message and analyzes the user's emotion.

[0509] Step 13:

[0510] The server adjusts the response of the virtual character based on the results of the emotion engine.

[0511] Step 14:

[0512] The response generated by the server is converted into speech using a text-to-speech synthesis means, and the generated text and speech are sent to the terminal.

[0513] Step 15:

[0514] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user. The user then inputs another message or voice message, and the conversation continues.

[0515] Step 16:

[0516] During and after the conversation, the server stores the emotional data analyzed by the emotion engine in a database and reflects it in future conversations.

[0517] This is the specific processing flow of the LoveBot Factory system, which includes an emotion engine. This system recognizes the user's emotions in real time and provides natural and personalized interactions.

[0518] Example 2

[0519] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0520] While conventional virtual character generation systems were able to generate characters based on user input, they struggled to properly recognize the user's emotions during interactions and generate natural and personalized responses based on those emotions. Furthermore, the lack of emotion analysis and response adjustment capabilities limited the user experience.

[0521] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for the user to input keywords related to appearance, personality, and voice, a character generation means for generating a virtual character based on the input keywords, a voice call means for conducting a voice call and a chat means for conducting a chat between the generated virtual character and the user, an emotion analysis means for analyzing emotions from a message input by the user, and a response adjustment means for adjusting the responses of the virtual character based on the analyzed emotions. This makes it possible to recognize the user's emotions in real time and to have natural and personalized conversations based on the emotions.

[0522] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[0523] "Character generation means" refers to a program or algorithm for generating a virtual character based on input keywords.

[0524] "Voice communication means" refers to a system or device for conducting voice communication between the generated virtual character and the user.

[0525] "Chat means" refers to a system or device for conducting text-based chat between a generated virtual character and a user.

[0526] The "emotion analysis means" is a program or algorithm for analyzing emotions from a message input by a user.

[0527] The "response adjustment means" is a system or program for adjusting the responses of the virtual character based on the analyzed emotions.

[0528] A "three-dimensional model" is digital data used to represent the appearance of a virtual character in three dimensions.

[0529] "Personality attributes" are data for defining the personality and behavioral characteristics of a virtual character.

[0530] The "voice database" is a database that stores voice samples for generating the voices of virtual characters and data for voice synthesis.

[0531] A "character generation algorithm" is a program or calculation procedure for selecting appropriate character data based on input keywords and generating a virtual character.

[0532] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine for emotion analysis, recognizes the user's emotions, and realizes conversations based on those emotions.

[0533] Creating a User Profile

[0534] The user launches the application and the device displays a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database on the server.

[0535] Character Generation

[0536] The server generates a virtual character based on keywords sent by the user. Specifically, the server uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm and combines the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile. The device receives this character data and displays and plays the character's 3D model, personality, and voice to the user.

[0537] Call and chat features

[0538] When a user presses the call or chat button in the application, the terminal sends a call or chat start request to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The server converts the response into speech using a text-to-speech synthesis means and sends the generated text and speech data to the user terminal. The terminal plays the audio or displays the chat text.

[0539] Introducing the Emotion Engine

[0540] The emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[0541] Specific examples

[0542] For example, if a user types and sends "I'm tired today," the device sends this message to the server. The server analyzes this message using a natural language processing engine and an emotion engine and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," and converts it into voice using a text-to-speech synthesis means. The voice data is sent to the user's device, and the device plays the voice. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer user experience.

[0543] Prompt Sentence Examples

[0544] "How can I define my ideal character's appearance?"

[0545] "I'd love to know how the characters react when they're tired."

[0546] This system allows users to interact with virtual characters that understand and empathize with their emotions in real time.

[0547] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0548] Step 1:

[0549] The user launches an application and the device displays a login screen or new registration screen. The user enters an email address and password to log in or register. The input information (email address, password, etc.) is sent from the device to the server. The server authenticates the input information and returns the authentication result to the device. The device receives the authentication result and notifies the user that the login or new registration has been completed.

[0550] Step 2:

[0551] The user goes to the profile setting screen and enters basic information such as their name, age, and gender, as well as keywords for the appearance, personality, and voice of their ideal character. The information is sent from the device to the server, which then stores this information in a database.

[0552] Step 3:

[0553] The server receives the keyword sent by the user and starts the character generation process. The server searches the 3D model library, personality attribute database, and voice database to select appropriate data. The server runs the character generation algorithm and generates a virtual character by combining the selected 3D model, personality data, and voice data. The generated character data is sent from the server to the device.

[0554] Step 4:

[0555] The device receives the character data from the server and presents it to the user. A 3D model of the character is displayed, and personality information and voice data are applied. The user can then review the generated virtual character and make corrections or changes as necessary.

[0556] Step 5:

[0557] To start a call or chat, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives the request and initializes the character's state. The initial state of the call or chat is sent to the device, which displays it to the user.

[0558] Step 6:

[0559] The user inputs a message and presses the send button. The input message is sent from the terminal to the server. The server uses a natural language processing engine to analyze the input message and generate an appropriate reply. When the server generates a reply, it analyzes the user's emotions using a sentiment analysis means and adjusts the reply using a response adjustment means.

[0560] Step 7:

[0561] The server passes the generated response to a text-to-speech synthesis means, which converts the response into speech. The generated text and speech data are sent from the server to the terminal. The terminal plays back the received speech data and displays the chat text. This allows the user to enjoy natural conversation with the virtual character.

[0562] (Application example 2)

[0563] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0564] Conventional virtual character systems have limited interaction with users and lack the ability to respond to user emotions, resulting in a poor user experience. Furthermore, interfaces for smart devices are not optimized enough, making it difficult to achieve natural and personalized interactions. Furthermore, more advanced technologies are needed to improve the quality of customer support and customer service in virtual stores.

[0565] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0566] In this invention, the server includes emotion analysis means for analyzing the emotion of the user, response generation means for adjusting the response of the virtual character based on the emotion analysis means, and voice conversion means for converting the generated response into voice, thereby enabling the user to have a natural and personalized conversation with the virtual character using the smart device.

[0567] The "input means" is a means for the user to input keywords relating to appearance, personality, and voice.

[0568] The "character generation means" is a means for generating a virtual character based on a keyword input by a user.

[0569] The "voice communication means" is a means for conducting voice communication between the generated virtual character and the user.

[0570] The "chat means" is a means for chatting between the generated virtual character and the user.

[0571] The "emotion analysis means" is a means for analyzing the user's emotions.

[0572] The "response generation means" is a means for adjusting the response of the virtual character based on the emotion analysis means.

[0573] The "voice conversion means" is a means for converting the generated response into voice.

[0574] "Interface means" refers to a means by which a user interacts with a virtual character through a smart device.

[0575] A "three-dimensional model" is data used to represent the shape and appearance of a virtual character in three dimensions.

[0576] "Personality attributes" are data for defining personality traits that influence the behavior and responses of a virtual character.

[0577] A "voice database" is a database for storing voices used by virtual characters.

[0578] The "character generation algorithm" is an algorithm for selecting appropriate character data based on input keywords.

[0579] The present invention is a system that allows users to input keywords related to appearance, personality, and voice, generate a virtual character based on that information, and enjoy natural conversations via voice calls and chats. Furthermore, this system incorporates an emotion analysis function, enabling it to generate responses based on the user's emotions.

[0580] The system consists of the following hardware and software:

[0581] Hardware: Smart devices (e.g., smart glasses, smartphones)

[0582] software:

[0583] EmotionRecognition (emotion analysis library)

[0584] TextToSpeech (speech conversion library)

[0585] SmartGlassesInterface (Smart Device Interface)

[0586] First, a user inputs keywords related to appearance, personality, and voice using the input means. The input keywords are sent to the server, and a virtual character is generated by the character generation means. The character generation uses a three-dimensional model, personality attributes, and voice database. The character generation algorithm selects appropriate character data and generates the virtual character.

[0587] Next, when the user starts a conversation with the virtual character using voice communication means or chat means, the emotion analysis means analyzes the user's message. For example, if the user inputs "I'm tired today," the emotion analysis means recognizes the emotion "tired" from this message. The server generates an appropriate reply using the response generation means that adjusts the response of the virtual character based on the emotion analysis result.

[0588] The generated response is converted into voice data using a voice conversion means, and this voice data is sent to the user's terminal via the smart device interface, where the terminal plays the voice in the case of a voice call, or displays the text in the case of a chat.

[0589] As a concrete example, consider the case where a user enters a message like this:

[0590] User: "Tell me about this product."

[0591] Virtual character: "Of course! This is our latest model, and it's super comfortable. Plus, it's on sale for 30% off."

[0592] In this way, users can interact with virtual characters in a natural way while their emotions are analyzed in the virtual store, providing a more personalized customer experience and improving the quality of virtual shopping.

[0593] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0594] Step 1:

[0595] The user uses the input means to input keywords relating to appearance, personality, and voice.

[0596] Input: Keywords (e.g. appearance, personality, voice)

[0597] Data processing: Send the entered keywords to the server

[0598] Output: Keyword data sent to the server

[0599] Step 2:

[0600] The server uses a character generation means to generate a virtual character based on the input keyword.

[0601] Input: Keyword data

[0602] Data processing: Select appropriate character data using the 3D model library, personality attribute database, and voice database to generate a virtual character.

[0603] Output: Generated virtual character data

[0604] Step 3:

[0605] The server transmits the generated character data to the user terminal.

[0606] Input: Generated virtual character data

[0607] Data processing: Send character data using communication means

[0608] Output: Character data sent to the user's terminal

[0609] Step 4:

[0610] The user starts a conversation with the virtual character using a voice call means or a chat means.

[0611] Input: Dialogue initiation request (voice or text)

[0612] Data processing: Send a dialogue start request to the server

[0613] Output: Conversation initiation request sent to the server

[0614] Step 5:

[0615] The server uses sentiment analysis means to analyze the user's message.

[0616] Input: Interaction start request, user message

[0617] Data processing: Analyze emotions from user messages using the EmotionRecognition library

[0618] Output: Parsed emotion data

[0619] Step 6:

[0620] The server uses the response generation means to generate a response for the virtual character based on the emotion analysis result.

[0621] Input: Emotion data, character data

[0622] Data processing: Generate appropriate responses based on sentiment analysis results

[0623] Output: The generated response message

[0624] Step 7:

[0625] The server converts the generated response message into voice using a voice conversion means.

[0626] Input: Response message

[0627] Data processing: Convert the response message into audio data using the TextToSpeech library

[0628] Output: Generated audio data

[0629] Step 8:

[0630] The server transmits the generated voice data to the user terminal.

[0631] Input: Generated audio data

[0632] Data processing: Sending voice data using communication means

[0633] Output: Audio data sent to the user's device

[0634] Step 9:

[0635] The user's device plays the received audio data, or in the case of chat, displays the text.

[0636] Input: Voice data or text message

[0637] Data processing: Play audio data or display text messages using SmartGlassesInterface

[0638] Output: The audio or text display presented to the user

[0639] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0640] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0641] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0642] [Third embodiment]

[0643] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0644] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0645] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0646] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0647] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0648] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0649] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0650] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0651] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0652] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0653] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0654] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0655] The present invention is a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character through voice calls and chats.

[0656] Creating a User Profile

[0657] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0658] Character Generation

[0659] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0660] Call and chat features

[0661] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0662] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0663] Specific examples

[0664] For example, the following dialogue is possible:

[0665] When a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generates a response such as "I had a great time today! I went to the park and looked at the flowers. How was it for you?" based on the character's personality. The generated response is converted into speech using a text-to-speech synthesis means and sent to the device. The device plays back this speech and presents it to the user.

[0666] This allows the user to have natural conversations with the generated virtual characters and enjoy a realistic pseudo-romance experience.

[0667] The processing flow will be explained below.

[0668] Step 1:

[0669] The user launches an application.

[0670] Step 2:

[0671] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0672] Step 3:

[0673] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0674] Step 4:

[0675] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0676] Step 5:

[0677] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0678] Step 6:

[0679] The server retrieves and analyzes the user's profile information from the database.

[0680] Step 7:

[0681] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0682] Step 8:

[0683] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0684] Step 9:

[0685] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0686] Step 10:

[0687] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0688] Step 11:

[0689] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[0690] Step 12:

[0691] The server generates a response in response to the user's message, generates a voice using a text-to-speech synthesis means, and transmits the generated text and voice to the terminal.

[0692] Step 13:

[0693] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user.

[0694] Step 14:

[0695] The user then inputs a message or voice again, and the conversation continues.

[0696] This is the specific processing flow of the LoveBot Factory program, which allows users to enjoy natural conversations with their ideal characters.

[0697] Example 1

[0698] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0699] Conventional virtual character generation and dialogue systems have had problems such as low accuracy in automatic generation based on user-entered information and a lack of naturalness in dialogue, making it difficult for users to enjoy realistic dialogue with their ideal characters.

[0700] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0701] In this invention, the server includes input means for the user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords and profile information, dialogue means for conducting a text-to-voice dialogue between the generated virtual character and the user using natural language processing, and text-to-voice synthesis means for converting the responses of the generated virtual character into voice, thereby enabling the user to enjoy highly accurate and realistic dialogue with their ideal virtual character.

[0702] The "input means" is an interface that allows the user to input keywords related to appearance, personality, and voice.

[0703] The "character generation means" is a function that generates a virtual character based on input keywords and profile information.

[0704] The "interaction means" is a function that uses natural language processing to conduct a dialogue between the generated virtual character and the user using text and voice.

[0705] "Text-to-speech synthesis means" is a technology that converts the responses of the generated virtual character into voice.

[0706] A "3D model" is data that represents the three-dimensional shape of a virtual character.

[0707] "Personality attributes" are data that determine the personality of a virtual character.

[0708] The "voice database" is a database that stores voice data for generating the voices of virtual characters.

[0709] A "natural language processing engine" is a software engine that analyzes text entered by a user and generates an appropriate response.

[0710] An "algorithm" is a calculation method for selecting and generating optimal character data based on input keywords.

[0711] This invention provides a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character. This system is realized using the following hardware and software.

[0712] Hardware and software used

[0713] Hardware

[0714] User device: such as a smartphone, tablet, or personal computer.

[0715] Server: Server equipment for remote data processing.

[0716] software

[0717] Application: Software that provides an interface for users to interact with.

[0718] Database: A database for storing user profiles, 3D models, personality attributes, and voice data.

[0719] Natural language processing engine: A software engine that analyzes a user's message and generates a response.

[0720] Text-to-speech software: Software for converting generated responses into speech.

[0721] Data processing and calculation

[0722] Creating a User Profile

[0723] When a user launches the application, they are directed to a login screen or a new registration screen. They log in by entering their email address and password, or register. Once registration is complete, the user moves to a profile setting screen where they enter their name, age, gender, and keywords for their ideal character. This information is sent from the user's device to the server and stored in a database.

[0724] Character Generation

[0725] The server generates a virtual character based on the keywords and profile information sent by the user. Specifically, it uses the 3D model library, personality attribute database, and voice database in the database to select a character that matches the keywords. The server then runs a character generation algorithm to generate a character by combining the optimal 3D model, personality data, and voice data. The generated character data is sent to the user's device and applied to the user's profile.

[0726] Call and chat features

[0727] To interact with the generated character, the user presses the call or chat button in the application. The device sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user types and sends a message, the device sends the message to the server. The server uses a natural language processing engine to analyze the message and generate a response accordingly. The generated response is converted into speech using text-to-speech software and sent to the user's device. In the case of a voice call, the device plays the audio, and in the case of a chat, it displays the text.

[0728] Specific examples

[0729] For example, if a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generate a response based on the character's personality: "I had a great time today! I went to the park and looked at the flowers. How was it for you?" The generated response is converted into speech using text-to-speech software and sent to the device. The device then plays this speech and presents it to the user.

[0730] Prompt Sentence Examples

[0731] "Please explain in detail the process steps of a system that generates an ideal virtual character and interacts with that character in a natural way. Please explain the specific operation of each step, from creating a user profile to character generation and the ability to make calls and chat."

[0732] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0733] Step 1: Create a user profile

[0734] The user starts the application and moves to the login screen or new registration screen. The user enters their email address and password to log in or register. This input information is sent from the device to the server, and the server saves the user information in a database. Next, the user enters their name, age, gender, and ideal character keywords on the profile setting screen. This profile information is sent from the device back to the server and saved in the database.

[0735] Step 2: Keyword analysis and character generation

[0736] The server receives the user's keywords and profile information stored in the database and performs keyword analysis. Specifically, it selects appropriate data from the database, including 3D models, personality attributes, and voice data. The server then executes a character generation algorithm and combines this data to generate a virtual character. The generated character data is customized based on the user's profile information, and the final product is sent from the server to the user's device. The user can view the generated character on their device.

[0737] Step 3: Start a call or chat

[0738] When a user presses the call or chat button within the application, the request is sent from the device to the server. The server receives the request and initializes the state of the corresponding character. This initialization includes analyzing the existing message history and the user's past comments. This prepares the server for the next action.

[0739] Step 4: Sending and parsing messages

[0740] When a user types and sends a message, the text data is sent from the device to the server. The server uses a natural language processing engine to analyze the received message. During the analysis process, the data is processed to understand what the user said and generate the most appropriate response. This is done using keyword matching and machine learning models. The generated response is temporarily stored in text format on the server.

[0741] Step 5: Text-to-speech synthesis and output

[0742] The server converts the generated text response into speech using text-to-speech software. This conversion process is configured to appropriately reflect the character's voice quality and speaking style. The generated speech data is sent from the server to the user's device, which plays the speech and, in the case of chat, displays the text.

[0743] (Application example 1)

[0744] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0745] Conventional virtual character interaction systems have limited customization to meet users' interests and preferences, making it difficult to meet specific needs, especially those related to shopping and product information. Furthermore, they do not adequately provide functions for users to quickly obtain product information or receive product recommendations through voice or chat. As a result, the experience users can gain through virtual characters is limited, and a means to improve the shopping experience has been sought.

[0746] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0747] In this invention, the server includes input means for a user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords, voice communication means for conducting voice communication and chat means between the generated virtual character and the user, information provision means for providing product information selected by the user, natural language processing means for generating a character response using a generation AI model based on a prompt sentence, and display means for displaying the generated customized character on a smart device. This enables the user to quickly obtain product information and receive appropriate product recommendations while interacting with the virtual character.

[0748] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[0749] "Character generation means" refers to a device or software for generating a virtual character based on an input keyword.

[0750] "Voice communication means" refers to a device or software for conducting voice communication between the generated virtual character and the user.

[0751] "Chat means" refers to a device or software for conducting text chat between a generated virtual character and a user.

[0752] The "information providing means" is a device or software for providing product information selected by the user.

[0753] A "natural language processing means" is a device or software for generating character responses using a generative AI model based on a prompt sentence.

[0754] "Display means" refers to a device or interface for displaying the generated customized character on a smart device.

[0755] To implement this invention, a user first launches the application and is directed to a login screen or new registration screen. The user logs in by entering an email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the terminal to the server and stored in a database.

[0756] The server generates a virtual character based on the keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. It then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0757] To interact with the generated character, the user presses the call or chat button in the application. The terminal sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is converted into voice using a text-to-speech synthesis means, and the generated text and voice data are sent to the user terminal. The terminal presents this data to the user, playing the voice in the case of a voice call or displaying the text in the case of a chat.

[0758] A distinctive feature of this system is the provision of product information. Users can interact with a virtual character while shopping to request specific product information. Using an AI model generated based on the prompt, product descriptions, recommendations, and coupon information can be provided in real time.

[0759] For example, if a user says, "Tell me about this shirt," the message is sent from the device to the server. The server uses a generative AI model to analyze the prompt, "User: Tell me about this shirt\nVirtual Assistant:." The server generates a response, "This is a new cotton shirt, currently 20% off. It's soft to the touch and extremely durable." The server synthesizes this response into speech and sends it to the user's device. The device then plays the speech and provides it to the user.

[0760] The present invention allows users to efficiently obtain product information while interacting with their ideal virtual character, enabling them to enjoy a more fulfilling shopping experience.

[0761] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0762] Step 1:

[0763] A user launches an application and is directed to a login screen or a new registration screen. The user logs in by entering their email address and password, and if necessary, registers. The entered email address and password are sent to the authentication server, and if authentication is successful, the user data is returned.

[0764] Step 2:

[0765] Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. They also enter keywords for their ideal character's appearance, personality, and voice. This information is sent from the device to the server and saved in a database. Here, the input information is saved as user profile data.

[0766] Step 3:

[0767] The server generates a virtual character based on the keywords submitted by the user. Specifically, it runs a character generation algorithm by referencing a 3D model library, personality attribute database, and voice database. It combines the appropriate 3D model, personality data, and voice data to generate the final character, and sends that data to the user's device. The output is character data, which is applied to the user profile.

[0768] Step 4:

[0769] To interact with the generated character, the user presses a call or chat button in the application. The device sends a call or chat start request to the server, and the server receives this request and initializes the character's state.

[0770] Step 5:

[0771] When a user types and sends a message, the device sends it to the server. The server uses a generative AI model based on the prompt to analyze the user's message and generate an appropriate response. In this process, the input text message is treated as part of the prompt and analyzed by a natural language processing engine. The final result is the character's response.

[0772] Step 6:

[0773] The generated response is converted into voice using a text-to-speech synthesizer. The server sends the generated text and voice data to the user terminal. The output at this point is a voice file and text data.

[0774] Step 7:

[0775] The device presents the received voice and text to the user. In the case of a voice call, the voice is played, and in the case of a chat, the text is displayed on the screen. This is the final output that reaches the user's visual and auditory senses.

[0776] Step 8:

[0777] When a user requests specific product information while shopping, the device sends the request to the server, which uses a generative AI model to generate product information based on the prompt, providing the user with a detailed product description and coupon information.

[0778] For example, in response to a user's voice input of "Tell me about this shirt," the server generates "This shirt is a new cotton shirt, and it's currently 20% off," and sends and displays this as voice and text to the device.

[0779] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0780] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine that recognizes the user's emotions and enables conversations based on those emotions.

[0781] Creating a User Profile

[0782] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0783] Character Generation

[0784] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0785] Call and chat features

[0786] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0787] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0788] Introducing the Emotion Engine

[0789] Furthermore, the use of an emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[0790] Specific examples

[0791] For example, if a user types "I'm tired today," the message is sent from the device to the server. The server analyzes the message using a natural language processing engine and an emotion engine, and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," based on the character's personality and emotion, and converts it into voice using text-to-speech synthesis. This voice data is sent to the user's device, which plays it back. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer simulated romantic experience.

[0792] The above is a specific embodiment of the Lovebot Factory system including an emotion engine, which recognizes the user's emotions in real time and provides natural and personalized interactions.

[0793] The processing flow will be explained below.

[0794] Step 1:

[0795] The user launches an application.

[0796] Step 2:

[0797] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0798] Step 3:

[0799] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0800] Step 4:

[0801] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0802] Step 5:

[0803] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0804] Step 6:

[0805] The server retrieves and analyzes the user's profile information from the database.

[0806] Step 7:

[0807] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0808] Step 8:

[0809] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0810] Step 9:

[0811] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0812] Step 10:

[0813] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0814] Step 11:

[0815] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[0816] Step 12:

[0817] The server activates an emotion engine based on the user's message and analyzes the user's emotion.

[0818] Step 13:

[0819] The server adjusts the response of the virtual character based on the results of the emotion engine.

[0820] Step 14:

[0821] The response generated by the server is converted into speech using a text-to-speech synthesis means, and the generated text and speech are sent to the terminal.

[0822] Step 15:

[0823] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user. The user then inputs another message or voice message, and the conversation continues.

[0824] Step 16:

[0825] During and after the conversation, the server stores the emotional data analyzed by the emotion engine in a database and reflects it in future conversations.

[0826] This is the specific processing flow of the LoveBot Factory system, which includes an emotion engine. This system recognizes the user's emotions in real time and provides natural and personalized interactions.

[0827] Example 2

[0828] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0829] While conventional virtual character generation systems were able to generate characters based on user input, they struggled to properly recognize the user's emotions during interactions and generate natural and personalized responses based on those emotions. Furthermore, the lack of emotion analysis and response adjustment capabilities limited the user experience.

[0830] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for the user to input keywords related to appearance, personality, and voice, a character generation means for generating a virtual character based on the input keywords, a voice call means for conducting a voice call and a chat means for conducting a chat between the generated virtual character and the user, an emotion analysis means for analyzing emotions from a message input by the user, and a response adjustment means for adjusting the responses of the virtual character based on the analyzed emotions. This makes it possible to recognize the user's emotions in real time and to have natural and personalized conversations based on the emotions.

[0831] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[0832] "Character generation means" refers to a program or algorithm for generating a virtual character based on input keywords.

[0833] "Voice communication means" refers to a system or device for conducting voice communication between the generated virtual character and the user.

[0834] "Chat means" refers to a system or device for conducting text-based chat between a generated virtual character and a user.

[0835] The "emotion analysis means" is a program or algorithm for analyzing emotions from a message input by a user.

[0836] The "response adjustment means" is a system or program for adjusting the responses of the virtual character based on the analyzed emotions.

[0837] A "three-dimensional model" is digital data used to represent the appearance of a virtual character in three dimensions.

[0838] "Personality attributes" are data for defining the personality and behavioral characteristics of a virtual character.

[0839] The "voice database" is a database that stores voice samples for generating the voices of virtual characters and data for voice synthesis.

[0840] A "character generation algorithm" is a program or calculation procedure for selecting appropriate character data based on input keywords and generating a virtual character.

[0841] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine for emotion analysis, recognizes the user's emotions, and realizes conversations based on those emotions.

[0842] Creating a User Profile

[0843] The user launches the application and the device displays a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database on the server.

[0844] Character Generation

[0845] The server generates a virtual character based on keywords sent by the user. Specifically, the server uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm and combines the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile. The device receives this character data and displays and plays the character's 3D model, personality, and voice to the user.

[0846] Call and chat features

[0847] When a user presses the call or chat button in the application, the terminal sends a call or chat start request to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The server converts the response into speech using a text-to-speech synthesis means and sends the generated text and speech data to the user terminal. The terminal plays the audio or displays the chat text.

[0848] Introducing the Emotion Engine

[0849] The emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[0850] Specific examples

[0851] For example, if a user types and sends "I'm tired today," the device sends this message to the server. The server analyzes this message using a natural language processing engine and an emotion engine and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," and converts it into voice using a text-to-speech synthesis means. The voice data is sent to the user's device, and the device plays the voice. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer user experience.

[0852] Prompt Sentence Examples

[0853] "How can I define my ideal character's appearance?"

[0854] "I'd love to know how the characters react when they're tired."

[0855] This system allows users to interact with virtual characters that understand and empathize with their emotions in real time.

[0856] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0857] Step 1:

[0858] The user launches an application and the device displays a login screen or new registration screen. The user enters an email address and password to log in or register. The input information (email address, password, etc.) is sent from the device to the server. The server authenticates the input information and returns the authentication result to the device. The device receives the authentication result and notifies the user that the login or new registration has been completed.

[0859] Step 2:

[0860] The user goes to the profile setting screen and enters basic information such as their name, age, and gender, as well as keywords for the appearance, personality, and voice of their ideal character. The information is sent from the device to the server, which then stores this information in a database.

[0861] Step 3:

[0862] The server receives the keyword sent by the user and starts the character generation process. The server searches the 3D model library, personality attribute database, and voice database to select appropriate data. The server runs the character generation algorithm and generates a virtual character by combining the selected 3D model, personality data, and voice data. The generated character data is sent from the server to the device.

[0863] Step 4:

[0864] The device receives the character data from the server and presents it to the user. A 3D model of the character is displayed, and personality information and voice data are applied. The user can then review the generated virtual character and make corrections or changes as necessary.

[0865] Step 5:

[0866] To start a call or chat, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives the request and initializes the character's state. The initial state of the call or chat is sent to the device, which displays it to the user.

[0867] Step 6:

[0868] The user inputs a message and presses the send button. The input message is sent from the terminal to the server. The server uses a natural language processing engine to analyze the input message and generate an appropriate reply. When the server generates a reply, it analyzes the user's emotions using a sentiment analysis means and adjusts the reply using a response adjustment means.

[0869] Step 7:

[0870] The server passes the generated response to a text-to-speech synthesis means, which converts the response into speech. The generated text and speech data are sent from the server to the terminal. The terminal plays back the received speech data and displays the chat text. This allows the user to enjoy natural conversation with the virtual character.

[0871] (Application example 2)

[0872] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0873] Conventional virtual character systems have limited interaction with users and lack the ability to respond to user emotions, resulting in a poor user experience. Furthermore, interfaces for smart devices are not optimized enough, making it difficult to achieve natural and personalized interactions. Furthermore, more advanced technologies are needed to improve the quality of customer support and customer service in virtual stores.

[0874] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0875] In this invention, the server includes emotion analysis means for analyzing the emotion of the user, response generation means for adjusting the response of the virtual character based on the emotion analysis means, and voice conversion means for converting the generated response into voice, thereby enabling the user to have a natural and personalized conversation with the virtual character using the smart device.

[0876] The "input means" is a means for the user to input keywords relating to appearance, personality, and voice.

[0877] The "character generation means" is a means for generating a virtual character based on a keyword input by a user.

[0878] The "voice communication means" is a means for conducting voice communication between the generated virtual character and the user.

[0879] The "chat means" is a means for chatting between the generated virtual character and the user.

[0880] The "emotion analysis means" is a means for analyzing the user's emotions.

[0881] The "response generation means" is a means for adjusting the response of the virtual character based on the emotion analysis means.

[0882] The "voice conversion means" is a means for converting the generated response into voice.

[0883] "Interface means" refers to a means by which a user interacts with a virtual character through a smart device.

[0884] A "three-dimensional model" is data used to represent the shape and appearance of a virtual character in three dimensions.

[0885] "Personality attributes" are data for defining personality traits that influence the behavior and responses of a virtual character.

[0886] A "voice database" is a database for storing voices used by virtual characters.

[0887] The "character generation algorithm" is an algorithm for selecting appropriate character data based on input keywords.

[0888] The present invention is a system that allows users to input keywords related to appearance, personality, and voice, generate a virtual character based on that information, and enjoy natural conversations via voice calls and chats. Furthermore, this system incorporates an emotion analysis function, enabling it to generate responses based on the user's emotions.

[0889] The system consists of the following hardware and software:

[0890] Hardware: Smart devices (e.g., smart glasses, smartphones)

[0891] software:

[0892] EmotionRecognition (emotion analysis library)

[0893] TextToSpeech (speech conversion library)

[0894] SmartGlassesInterface (Smart Device Interface)

[0895] First, a user inputs keywords related to appearance, personality, and voice using the input means. The input keywords are sent to the server, and a virtual character is generated by the character generation means. The character generation uses a three-dimensional model, personality attributes, and voice database. The character generation algorithm selects appropriate character data and generates the virtual character.

[0896] Next, when the user starts a conversation with the virtual character using voice communication means or chat means, the emotion analysis means analyzes the user's message. For example, if the user inputs "I'm tired today," the emotion analysis means recognizes the emotion "tired" from this message. The server generates an appropriate reply using the response generation means that adjusts the response of the virtual character based on the emotion analysis result.

[0897] The generated response is converted into voice data using a voice conversion means, and this voice data is sent to the user's terminal via the smart device interface, where the terminal plays the voice in the case of a voice call, or displays the text in the case of a chat.

[0898] As a concrete example, consider the case where a user enters a message like this:

[0899] User: "Tell me about this product."

[0900] Virtual character: "Of course! This is our latest model, and it's super comfortable. Plus, it's on sale for 30% off."

[0901] In this way, users can interact with virtual characters in a natural way while their emotions are analyzed in the virtual store, providing a more personalized customer experience and improving the quality of virtual shopping.

[0902] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0903] Step 1:

[0904] The user uses the input means to input keywords relating to appearance, personality, and voice.

[0905] Input: Keywords (e.g. appearance, personality, voice)

[0906] Data processing: Send the entered keywords to the server

[0907] Output: Keyword data sent to the server

[0908] Step 2:

[0909] The server uses a character generation means to generate a virtual character based on the input keyword.

[0910] Input: Keyword data

[0911] Data processing: Select appropriate character data using the 3D model library, personality attribute database, and voice database to generate a virtual character.

[0912] Output: Generated virtual character data

[0913] Step 3:

[0914] The server transmits the generated character data to the user terminal.

[0915] Input: Generated virtual character data

[0916] Data processing: Send character data using communication means

[0917] Output: Character data sent to the user's terminal

[0918] Step 4:

[0919] The user starts a conversation with the virtual character using a voice call means or a chat means.

[0920] Input: Dialogue initiation request (voice or text)

[0921] Data processing: Send a dialogue start request to the server

[0922] Output: Conversation initiation request sent to the server

[0923] Step 5:

[0924] The server uses sentiment analysis means to analyze the user's message.

[0925] Input: Interaction start request, user message

[0926] Data processing: Analyze emotions from user messages using the EmotionRecognition library

[0927] Output: Parsed emotion data

[0928] Step 6:

[0929] The server uses the response generation means to generate a response for the virtual character based on the emotion analysis result.

[0930] Input: Emotion data, character data

[0931] Data processing: Generate appropriate responses based on sentiment analysis results

[0932] Output: The generated response message

[0933] Step 7:

[0934] The server converts the generated response message into voice using a voice conversion means.

[0935] Input: Response message

[0936] Data processing: Convert the response message into audio data using the TextToSpeech library

[0937] Output: Generated audio data

[0938] Step 8:

[0939] The server transmits the generated voice data to the user terminal.

[0940] Input: Generated audio data

[0941] Data processing: Sending voice data using communication means

[0942] Output: Audio data sent to the user's device

[0943] Step 9:

[0944] The user's device plays the received audio data, or in the case of chat, displays the text.

[0945] Input: Voice data or text message

[0946] Data processing: Play audio data or display text messages using SmartGlassesInterface

[0947] Output: The audio or text display presented to the user

[0948] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0949] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0950] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[0951] [Fourth embodiment]

[0952] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0953] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0954] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0955] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0956] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0957] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0958] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0959] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0960] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0961] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0962] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0963] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0964] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[0965] The present invention is a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character through voice calls and chats.

[0966] Creating a User Profile

[0967] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[0968] Character Generation

[0969] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[0970] Call and chat features

[0971] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[0972] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[0973] Specific examples

[0974] For example, the following dialogue is possible:

[0975] When a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generates a response such as "I had a great time today! I went to the park and looked at the flowers. How was it for you?" based on the character's personality. The generated response is converted into speech using a text-to-speech synthesis means and sent to the device. The device plays back this speech and presents it to the user.

[0976] This allows the user to have natural conversations with the generated virtual characters and enjoy a realistic pseudo-romance experience.

[0977] The processing flow will be explained below.

[0978] Step 1:

[0979] The user launches an application.

[0980] Step 2:

[0981] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[0982] Step 3:

[0983] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[0984] Step 4:

[0985] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[0986] Step 5:

[0987] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[0988] Step 6:

[0989] The server retrieves and analyzes the user's profile information from the database.

[0990] Step 7:

[0991] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[0992] Step 8:

[0993] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[0994] Step 9:

[0995] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[0996] Step 10:

[0997] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[0998] Step 11:

[0999] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[1000] Step 12:

[1001] The server generates a response in response to the user's message, generates a voice using a text-to-speech synthesis means, and transmits the generated text and voice to the terminal.

[1002] Step 13:

[1003] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user.

[1004] Step 14:

[1005] The user then inputs a message or voice again, and the conversation continues.

[1006] This is the specific processing flow of the LoveBot Factory program, which allows users to enjoy natural conversations with their ideal characters.

[1007] Example 1

[1008] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1009] Conventional virtual character generation and dialogue systems have had problems such as low accuracy in automatic generation based on user-entered information and a lack of naturalness in dialogue, making it difficult for users to enjoy realistic dialogue with their ideal characters.

[1010] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1011] In this invention, the server includes input means for the user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords and profile information, dialogue means for conducting a text-to-voice dialogue between the generated virtual character and the user using natural language processing, and text-to-voice synthesis means for converting the responses of the generated virtual character into voice, thereby enabling the user to enjoy highly accurate and realistic dialogue with their ideal virtual character.

[1012] The "input means" is an interface that allows the user to input keywords related to appearance, personality, and voice.

[1013] The "character generation means" is a function that generates a virtual character based on input keywords and profile information.

[1014] The "interaction means" is a function that uses natural language processing to conduct a dialogue between the generated virtual character and the user using text and voice.

[1015] "Text-to-speech synthesis means" is a technology that converts the responses of the generated virtual character into voice.

[1016] A "3D model" is data that represents the three-dimensional shape of a virtual character.

[1017] "Personality attributes" are data that determine the personality of a virtual character.

[1018] The "voice database" is a database that stores voice data for generating the voices of virtual characters.

[1019] A "natural language processing engine" is a software engine that analyzes text entered by a user and generates an appropriate response.

[1020] An "algorithm" is a calculation method for selecting and generating optimal character data based on input keywords.

[1021] This invention provides a system that allows a user to create an ideal virtual character and enjoy natural conversation with that character. This system is realized using the following hardware and software.

[1022] Hardware and software used

[1023] Hardware

[1024] User device: such as a smartphone, tablet, or personal computer.

[1025] Server: Server equipment for remote data processing.

[1026] software

[1027] Application: Software that provides an interface for users to interact with.

[1028] Database: A database for storing user profiles, 3D models, personality attributes, and voice data.

[1029] Natural language processing engine: A software engine that analyzes a user's message and generates a response.

[1030] Text-to-speech software: Software for converting generated responses into speech.

[1031] Data processing and calculation

[1032] Creating a User Profile

[1033] When a user launches the application, they are directed to a login screen or a new registration screen. They log in by entering their email address and password, or register. Once registration is complete, the user moves to a profile setting screen where they enter their name, age, gender, and keywords for their ideal character. This information is sent from the user's device to the server and stored in a database.

[1034] Character Generation

[1035] The server generates a virtual character based on the keywords and profile information sent by the user. Specifically, it uses the 3D model library, personality attribute database, and voice database in the database to select a character that matches the keywords. The server then runs a character generation algorithm to generate a character by combining the optimal 3D model, personality data, and voice data. The generated character data is sent to the user's device and applied to the user's profile.

[1036] Call and chat features

[1037] To interact with the generated character, the user presses the call or chat button in the application. The device sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user types and sends a message, the device sends the message to the server. The server uses a natural language processing engine to analyze the message and generate a response accordingly. The generated response is converted into speech using text-to-speech software and sent to the user's device. In the case of a voice call, the device plays the audio, and in the case of a chat, it displays the text.

[1038] Specific examples

[1039] For example, if a user types "How was your day today?", the message is sent from the device to the server. The server uses a natural language processing engine to analyze the message and generate a response based on the character's personality: "I had a great time today! I went to the park and looked at the flowers. How was it for you?" The generated response is converted into speech using text-to-speech software and sent to the device. The device then plays this speech and presents it to the user.

[1040] Prompt Sentence Examples

[1041] "Please explain in detail the process steps of a system that generates an ideal virtual character and interacts with that character in a natural way. Please explain the specific operation of each step, from creating a user profile to character generation and the ability to make calls and chat."

[1042] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1043] Step 1: Create a user profile

[1044] The user starts the application and moves to the login screen or new registration screen. The user enters their email address and password to log in or register. This input information is sent from the device to the server, and the server saves the user information in a database. Next, the user enters their name, age, gender, and ideal character keywords on the profile setting screen. This profile information is sent from the device back to the server and saved in the database.

[1045] Step 2: Keyword analysis and character generation

[1046] The server receives the user's keywords and profile information stored in the database and performs keyword analysis. Specifically, it selects appropriate data from the database, including 3D models, personality attributes, and voice data. The server then executes a character generation algorithm and combines this data to generate a virtual character. The generated character data is customized based on the user's profile information, and the final product is sent from the server to the user's device. The user can view the generated character on their device.

[1047] Step 3: Start a call or chat

[1048] When a user presses the call or chat button within the application, the request is sent from the device to the server. The server receives the request and initializes the state of the corresponding character. This initialization includes analyzing the existing message history and the user's past comments. This prepares the server for the next action.

[1049] Step 4: Sending and parsing messages

[1050] When a user types and sends a message, the text data is sent from the device to the server. The server uses a natural language processing engine to analyze the received message. During the analysis process, the data is processed to understand what the user said and generate the most appropriate response. This is done using keyword matching and machine learning models. The generated response is temporarily stored in text format on the server.

[1051] Step 5: Text-to-speech synthesis and output

[1052] The server converts the generated text response into speech using text-to-speech software. This conversion process is configured to appropriately reflect the character's voice quality and speaking style. The generated speech data is sent from the server to the user's device, which plays the speech and, in the case of chat, displays the text.

[1053] (Application example 1)

[1054] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1055] Conventional virtual character interaction systems have limited customization to meet users' interests and preferences, making it difficult to meet specific needs, especially those related to shopping and product information. Furthermore, they do not adequately provide functions for users to quickly obtain product information or receive product recommendations through voice or chat. As a result, the experience users can gain through virtual characters is limited, and a means to improve the shopping experience has been sought.

[1056] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1057] In this invention, the server includes input means for a user to input keywords related to appearance, personality, and voice, character generation means for generating a virtual character based on the input keywords, voice communication means for conducting voice communication and chat means between the generated virtual character and the user, information provision means for providing product information selected by the user, natural language processing means for generating a character response using a generation AI model based on a prompt sentence, and display means for displaying the generated customized character on a smart device. This enables the user to quickly obtain product information and receive appropriate product recommendations while interacting with the virtual character.

[1058] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[1059] "Character generation means" refers to a device or software for generating a virtual character based on an input keyword.

[1060] "Voice communication means" refers to a device or software for conducting voice communication between the generated virtual character and the user.

[1061] "Chat means" refers to a device or software for conducting text chat between a generated virtual character and a user.

[1062] The "information providing means" is a device or software for providing product information selected by the user.

[1063] A "natural language processing means" is a device or software for generating character responses using a generative AI model based on a prompt sentence.

[1064] "Display means" refers to a device or interface for displaying the generated customized character on a smart device.

[1065] To implement this invention, a user first launches the application and is directed to a login screen or new registration screen. The user logs in by entering an email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the terminal to the server and stored in a database.

[1066] The server generates a virtual character based on the keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. It then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[1067] To interact with the generated character, the user presses the call or chat button in the application. The terminal sends a request to start a call or chat to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is converted into voice using a text-to-speech synthesis means, and the generated text and voice data are sent to the user terminal. The terminal presents this data to the user, playing the voice in the case of a voice call or displaying the text in the case of a chat.

[1068] A distinctive feature of this system is the provision of product information. Users can interact with a virtual character while shopping to request specific product information. Using an AI model generated based on the prompt, product descriptions, recommendations, and coupon information can be provided in real time.

[1069] For example, if a user says, "Tell me about this shirt," the message is sent from the device to the server. The server uses a generative AI model to analyze the prompt, "User: Tell me about this shirt\nVirtual Assistant:." The server generates a response, "This is a new cotton shirt, currently 20% off. It's soft to the touch and extremely durable." The server synthesizes this response into speech and sends it to the user's device. The device then plays the speech and provides it to the user.

[1070] The present invention allows users to efficiently obtain product information while interacting with their ideal virtual character, enabling them to enjoy a more fulfilling shopping experience.

[1071] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1072] Step 1:

[1073] A user launches an application and is directed to a login screen or a new registration screen. The user logs in by entering their email address and password, and if necessary, registers. The entered email address and password are sent to the authentication server, and if authentication is successful, the user data is returned.

[1074] Step 2:

[1075] Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. They also enter keywords for their ideal character's appearance, personality, and voice. This information is sent from the device to the server and saved in a database. Here, the input information is saved as user profile data.

[1076] Step 3:

[1077] The server generates a virtual character based on the keywords submitted by the user. Specifically, it runs a character generation algorithm by referencing a 3D model library, personality attribute database, and voice database. It combines the appropriate 3D model, personality data, and voice data to generate the final character, and sends that data to the user's device. The output is character data, which is applied to the user profile.

[1078] Step 4:

[1079] To interact with the generated character, the user presses a call or chat button in the application. The device sends a call or chat start request to the server, and the server receives this request and initializes the character's state.

[1080] Step 5:

[1081] When a user types and sends a message, the device sends it to the server. The server uses a generative AI model based on the prompt to analyze the user's message and generate an appropriate response. In this process, the input text message is treated as part of the prompt and analyzed by a natural language processing engine. The final result is the character's response.

[1082] Step 6:

[1083] The generated response is converted into voice using a text-to-speech synthesizer. The server sends the generated text and voice data to the user terminal. The output at this point is a voice file and text data.

[1084] Step 7:

[1085] The device presents the received voice and text to the user. In the case of a voice call, the voice is played, and in the case of a chat, the text is displayed on the screen. This is the final output that reaches the user's visual and auditory senses.

[1086] Step 8:

[1087] When a user requests specific product information while shopping, the device sends the request to the server, which uses a generative AI model to generate product information based on the prompt, providing the user with a detailed product description and coupon information.

[1088] For example, in response to a user's voice input of "Tell me about this shirt," the server generates "This shirt is a new cotton shirt, and it's currently 20% off," and sends and displays this as voice and text to the device.

[1089] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1090] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine that recognizes the user's emotions and enables conversations based on those emotions.

[1091] Creating a User Profile

[1092] The user launches the application and is directed to a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database.

[1093] Character Generation

[1094] The server generates a virtual character based on keywords submitted by the user. Specifically, it uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm to combine the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile.

[1095] Call and chat features

[1096] To interact with the generated character, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives this request and initializes the character's state.

[1097] When a user inputs and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The generated response is not left in text format, but is converted into voice using a text-to-speech synthesis means. The generated text and voice data are sent to the user terminal, and the terminal presents it to the user. In the case of a voice call, the terminal plays the voice, and in the case of a chat, it displays the text.

[1098] Introducing the Emotion Engine

[1099] Furthermore, the use of an emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[1100] Specific examples

[1101] For example, if a user types "I'm tired today," the message is sent from the device to the server. The server analyzes the message using a natural language processing engine and an emotion engine, and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," based on the character's personality and emotion, and converts it into voice using text-to-speech synthesis. This voice data is sent to the user's device, which plays it back. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer simulated romantic experience.

[1102] The above is a specific embodiment of the Lovebot Factory system including an emotion engine, which recognizes the user's emotions in real time and provides natural and personalized interactions.

[1103] The processing flow will be explained below.

[1104] Step 1:

[1105] The user launches an application.

[1106] Step 2:

[1107] The device displays the login screen or new registration screen. The user enters their email address and password to log in or register.

[1108] Step 3:

[1109] The terminal sends the entered information to the server, which then performs user authentication (or new registration) and returns the authentication result to the terminal.

[1110] Step 4:

[1111] The terminal displays a login completion screen. The user moves to the profile setting screen and enters basic information and keywords for their ideal character.

[1112] Step 5:

[1113] The terminal sends the information entered by the user to the server, which saves the information in a database and notifies the terminal that the information has been saved.

[1114] Step 6:

[1115] The server retrieves and analyzes the user's profile information from the database.

[1116] Step 7:

[1117] The server runs a character generation algorithm, selecting and integrating 3D models, personality data, and voice data based on the keywords entered.

[1118] Step 8:

[1119] The server transmits the generated character data to the terminal, which receives the character data and applies it to the user profile.

[1120] Step 9:

[1121] The user presses the call button or chat button to start a conversation. The device sends a call or chat start request to the server.

[1122] Step 10:

[1123] The server receives the request and initializes the character's state. The user enters a message and sends it to the device.

[1124] Step 11:

[1125] The terminal sends the user's input message to the server, which then analyzes the message using a natural language processing engine.

[1126] Step 12:

[1127] The server activates an emotion engine based on the user's message and analyzes the user's emotion.

[1128] Step 13:

[1129] The server adjusts the response of the virtual character based on the results of the emotion engine.

[1130] Step 14:

[1131] The response generated by the server is converted into speech using a text-to-speech synthesis means, and the generated text and speech are sent to the terminal.

[1132] Step 15:

[1133] The terminal displays (or plays in the case of a voice call) the response message received from the server and presents it to the user. The user then inputs another message or voice message, and the conversation continues.

[1134] Step 16:

[1135] During and after the conversation, the server stores the emotional data analyzed by the emotion engine in a database and reflects it in future conversations.

[1136] This is the specific processing flow of the LoveBot Factory system, which includes an emotion engine. This system recognizes the user's emotions in real time and provides natural and personalized interactions.

[1137] Example 2

[1138] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1139] While conventional virtual character generation systems were able to generate characters based on user input, they struggled to properly recognize the user's emotions during interactions and generate natural and personalized responses based on those emotions. Furthermore, the lack of emotion analysis and response adjustment capabilities limited the user experience.

[1140] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes an input means for the user to input keywords related to appearance, personality, and voice, a character generation means for generating a virtual character based on the input keywords, a voice call means for conducting a voice call and a chat means for conducting a chat between the generated virtual character and the user, an emotion analysis means for analyzing emotions from a message input by the user, and a response adjustment means for adjusting the responses of the virtual character based on the analyzed emotions. This makes it possible to recognize the user's emotions in real time and to have natural and personalized conversations based on the emotions.

[1141] "Input means" refers to a device or interface that allows the user to input keywords related to appearance, personality, and voice.

[1142] "Character generation means" refers to a program or algorithm for generating a virtual character based on input keywords.

[1143] "Voice communication means" refers to a system or device for conducting voice communication between the generated virtual character and the user.

[1144] "Chat means" refers to a system or device for conducting text-based chat between a generated virtual character and a user.

[1145] The "emotion analysis means" is a program or algorithm for analyzing emotions from a message input by a user.

[1146] The "response adjustment means" is a system or program for adjusting the responses of the virtual character based on the analyzed emotions.

[1147] A "three-dimensional model" is digital data used to represent the appearance of a virtual character in three dimensions.

[1148] "Personality attributes" are data for defining the personality and behavioral characteristics of a virtual character.

[1149] The "voice database" is a database that stores voice samples for generating the voices of virtual characters and data for voice synthesis.

[1150] A "character generation algorithm" is a program or calculation procedure for selecting appropriate character data based on input keywords and generating a virtual character.

[1151] This system allows users to create their ideal virtual character and enjoy natural conversations with that character through voice calls and chats. This system incorporates an emotion engine for emotion analysis, recognizes the user's emotions, and realizes conversations based on those emotions.

[1152] Creating a User Profile

[1153] The user launches the application and the device displays a login screen or new registration screen. The user logs in by entering their email address and password, and registers as needed. Once registration is complete, the user moves to a profile setting screen where they enter basic information such as their name, age, and gender. The user also enters keywords for the appearance, personality, and voice of their ideal character. This information is sent from the device to the server and stored in a database on the server.

[1154] Character Generation

[1155] The server generates a virtual character based on keywords sent by the user. Specifically, the server uses a 3D model library, personality attribute database, and voice database to select a character that matches the keywords. The server then runs a character generation algorithm and combines the appropriate 3D model, personality data, and voice data to generate the final character. The generated character data is sent to the user's device and applied to the user profile. The device receives this character data and displays and plays the character's 3D model, personality, and voice to the user.

[1156] Call and chat features

[1157] When a user presses the call or chat button in the application, the terminal sends a call or chat start request to the server. The server receives this request and initializes the character's state. When the user enters and sends a message, the terminal sends this message to the server. The server uses a natural language processing engine to analyze the user's message and generate a response accordingly. The server converts the response into speech using a text-to-speech synthesis means and sends the generated text and speech data to the user terminal. The terminal plays the audio or displays the chat text.

[1158] Introducing the Emotion Engine

[1159] The emotion engine allows for more natural and personalized interactions. The server analyzes emotions from the user's input messages and adjusts the virtual character's responses accordingly. The emotion engine also stores the user's emotional data in a database and reflects it in future interactions based on past interaction history.

[1160] Specific examples

[1161] For example, if a user types and sends "I'm tired today," the device sends this message to the server. The server analyzes this message using a natural language processing engine and an emotion engine and recognizes that the user's emotion is "fatigue." The server generates a response such as "Are you okay? Don't push yourself," and converts it into voice using a text-to-speech synthesis means. The voice data is sent to the user's device, and the device plays the voice. This allows the user to interact with a virtual character that understands and sympathizes with their emotions, allowing them to enjoy a richer user experience.

[1162] Prompt Sentence Examples

[1163] "How can I define my ideal character's appearance?"

[1164] "I'd love to know how the characters react when they're tired."

[1165] This system allows users to interact with virtual characters that understand and empathize with their emotions in real time.

[1166] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1167] Step 1:

[1168] The user launches an application and the device displays a login screen or new registration screen. The user enters an email address and password to log in or register. The input information (email address, password, etc.) is sent from the device to the server. The server authenticates the input information and returns the authentication result to the device. The device receives the authentication result and notifies the user that the login or new registration has been completed.

[1169] Step 2:

[1170] The user goes to the profile setting screen and enters basic information such as their name, age, and gender, as well as keywords for the appearance, personality, and voice of their ideal character. The information is sent from the device to the server, which then stores this information in a database.

[1171] Step 3:

[1172] The server receives the keyword sent by the user and starts the character generation process. The server searches the 3D model library, personality attribute database, and voice database to select appropriate data. The server runs the character generation algorithm and generates a virtual character by combining the selected 3D model, personality data, and voice data. The generated character data is sent from the server to the device.

[1173] Step 4:

[1174] The device receives the character data from the server and presents it to the user. A 3D model of the character is displayed, and personality information and voice data are applied. The user can then review the generated virtual character and make corrections or changes as necessary.

[1175] Step 5:

[1176] To start a call or chat, the user presses the call or chat button in the application. The device sends a call or chat start request to the server. The server receives the request and initializes the character's state. The initial state of the call or chat is sent to the device, which displays it to the user.

[1177] Step 6:

[1178] The user inputs a message and presses the send button. The input message is sent from the terminal to the server. The server uses a natural language processing engine to analyze the input message and generate an appropriate reply. When the server generates a reply, it analyzes the user's emotions using a sentiment analysis means and adjusts the reply using a response adjustment means.

[1179] Step 7:

[1180] The server passes the generated response to a text-to-speech synthesis means, which converts the response into speech. The generated text and speech data are sent from the server to the terminal. The terminal plays back the received speech data and displays the chat text. This allows the user to enjoy natural conversation with the virtual character.

[1181] (Application example 2)

[1182] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1183] Conventional virtual character systems have limited interaction with users and lack the ability to respond to user emotions, resulting in a poor user experience. Furthermore, interfaces for smart devices are not optimized enough, making it difficult to achieve natural and personalized interactions. Furthermore, more advanced technologies are needed to improve the quality of customer support and customer service in virtual stores.

[1184] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1185] In this invention, the server includes emotion analysis means for analyzing the emotion of the user, response generation means for adjusting the response of the virtual character based on the emotion analysis means, and voice conversion means for converting the generated response into voice, thereby enabling the user to have a natural and personalized conversation with the virtual character using the smart device.

[1186] The "input means" is a means for the user to input keywords relating to appearance, personality, and voice.

[1187] The "character generation means" is a means for generating a virtual character based on a keyword input by a user.

[1188] The "voice communication means" is a means for conducting voice communication between the generated virtual character and the user.

[1189] The "chat means" is a means for chatting between the generated virtual character and the user.

[1190] The "emotion analysis means" is a means for analyzing the user's emotions.

[1191] The "response generation means" is a means for adjusting the response of the virtual character based on the emotion analysis means.

[1192] The "voice conversion means" is a means for converting the generated response into voice.

[1193] "Interface means" refers to a means by which a user interacts with a virtual character through a smart device.

[1194] A "three-dimensional model" is data used to represent the shape and appearance of a virtual character in three dimensions.

[1195] "Personality attributes" are data for defining personality traits that influence the behavior and responses of a virtual character.

[1196] A "voice database" is a database for storing voices used by virtual characters.

[1197] The "character generation algorithm" is an algorithm for selecting appropriate character data based on input keywords.

[1198] The present invention is a system that allows users to input keywords related to appearance, personality, and voice, generate a virtual character based on that information, and enjoy natural conversations via voice calls and chats. Furthermore, this system incorporates an emotion analysis function, enabling it to generate responses based on the user's emotions.

[1199] The system consists of the following hardware and software:

[1200] Hardware: Smart devices (e.g., smart glasses, smartphones)

[1201] software:

[1202] EmotionRecognition (emotion analysis library)

[1203] TextToSpeech (speech conversion library)

[1204] SmartGlassesInterface (Smart Device Interface)

[1205] First, a user inputs keywords related to appearance, personality, and voice using the input means. The input keywords are sent to the server, and a virtual character is generated by the character generation means. The character generation uses a three-dimensional model, personality attributes, and voice database. The character generation algorithm selects appropriate character data and generates the virtual character.

[1206] Next, when the user starts a conversation with the virtual character using voice communication means or chat means, the emotion analysis means analyzes the user's message. For example, if the user inputs "I'm tired today," the emotion analysis means recognizes the emotion "tired" from this message. The server generates an appropriate reply using the response generation means that adjusts the response of the virtual character based on the emotion analysis result.

[1207] The generated response is converted into voice data using a voice conversion means, and this voice data is sent to the user's terminal via the smart device interface, where the terminal plays the voice in the case of a voice call, or displays the text in the case of a chat.

[1208] As a concrete example, consider the case where a user enters a message like this:

[1209] User: "Tell me about this product."

[1210] Virtual character: "Of course! This is our latest model, and it's super comfortable. Plus, it's on sale for 30% off."

[1211] In this way, users can interact with virtual characters in a natural way while their emotions are analyzed in the virtual store, providing a more personalized customer experience and improving the quality of virtual shopping.

[1212] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1213] Step 1:

[1214] The user uses the input means to input keywords relating to appearance, personality, and voice.

[1215] Input: Keywords (e.g. appearance, personality, voice)

[1216] Data processing: Send the entered keywords to the server

[1217] Output: Keyword data sent to the server

[1218] Step 2:

[1219] The server uses a character generation means to generate a virtual character based on the input keyword.

[1220] Input: Keyword data

[1221] Data processing: Select appropriate character data using the 3D model library, personality attribute database, and voice database to generate a virtual character.

[1222] Output: Generated virtual character data

[1223] Step 3:

[1224] The server transmits the generated character data to the user terminal.

[1225] Input: Generated virtual character data

[1226] Data processing: Send character data using communication means

[1227] Output: Character data sent to the user's terminal

[1228] Step 4:

[1229] The user starts a conversation with the virtual character using a voice call means or a chat means.

[1230] Input: Dialogue initiation request (voice or text)

[1231] Data processing: Send a dialogue start request to the server

[1232] Output: Conversation initiation request sent to the server

[1233] Step 5:

[1234] The server uses sentiment analysis means to analyze the user's message.

[1235] Input: Interaction start request, user message

[1236] Data processing: Analyze emotions from user messages using the EmotionRecognition library

[1237] Output: Parsed emotion data

[1238] Step 6:

[1239] The server uses the response generation means to generate a response for the virtual character based on the emotion analysis result.

[1240] Input: Emotion data, character data

[1241] Data processing: Generate appropriate responses based on sentiment analysis results

[1242] Output: The generated response message

[1243] Step 7:

[1244] The server converts the generated response message into voice using a voice conversion means.

[1245] Input: Response message

[1246] Data processing: Convert the response message into audio data using the TextToSpeech library

[1247] Output: Generated audio data

[1248] Step 8:

[1249] The server transmits the generated voice data to the user terminal.

[1250] Input: Generated audio data

[1251] Data processing: Sending voice data using communication means

[1252] Output: Audio data sent to the user's device

[1253] Step 9:

[1254] The user's device plays the received audio data, or in the case of chat, displays the text.

[1255] Input: Voice data or text message

[1256] Data processing: Play audio data or display text messages using SmartGlassesInterface

[1257] Output: The audio or text display presented to the user

[1258] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1259] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1260] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1261] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1262] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1263] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1264] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1265] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1266] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1267] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1268] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1269] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1270] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1271] 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.

[1272] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1273] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1274] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1275] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1276] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1277] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1278] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1279] The following is further disclosed regarding the above embodiment.

[1280] (Claim 1)

[1281] an input means for a user to input keywords relating to appearance, personality, and voice;

[1282] a character generation means for generating a virtual character based on an input keyword;

[1283] a voice communication means for performing a voice communication and a chat means for performing a chat between the generated virtual character and the user;

[1284] A system including:

[1285] (Claim 2)

[1286] 10. The system of claim 1, wherein the generation of the virtual character uses a 3D model, personality attributes, and voice database.

[1287] (Claim 3)

[1288] 10. The system of claim 1, further comprising a character generation algorithm that selects appropriate character data based on input keywords.

[1289] (Claim 4)

[1290] 10. The system of claim 1, further comprising a natural language processing engine that analyzes a message input by a user and generates a response in response to the message.

[1291] (Claim 5)

[1292] 10. The system of claim 1, further comprising a text-to-speech synthesis means for generating speech in response to a user input using speech synthesis techniques.

[1293] "Example 1"

[1294] (Claim 1)

[1295] an input means for a user to input keywords relating to appearance, personality, and voice;

[1296] a character generation means for generating a virtual character based on input keywords and profile information;

[1297] a dialogue means for conducting a dialogue between the generated virtual character and a user using text and voice by using natural language processing;

[1298] a text-to-speech synthesis means for converting a response of the generated virtual character into speech;

[1299] A system including:

[1300] (Claim 2)

[1301] 10. The system of claim 1, wherein the virtual character is generated by selecting and combining a 3D model, personality attributes, and voice from a database.

[1302] (Claim 3)

[1303] The system of claim 1, including an algorithm for selecting and generating optimal character data based on input keywords.

[1304] "Application Example 1"

[1305] (Claim 1)

[1306] an input means for a user to input keywords relating to appearance, personality, and voice;

[1307] a character generation means for generating a virtual character based on an input keyword;

[1308] a voice communication means for performing a voice communication and a chat means for performing a chat between the generated virtual character and the user;

[1309] information providing means for providing product information selected by a user;

[1310] natural language processing means for generating character responses using a generative AI model based on the prompt sentence;

[1311] a display means for displaying the generated customized character on a smart device;

[1312] A system including:

[1313] (Claim 2)

[1314] 10. The system of claim 1, wherein the generation of the virtual character uses a 3D model, personality attributes, and voice database.

[1315] (Claim 3)

[1316] 10. The system of claim 1, further comprising a character generation algorithm that selects appropriate character data based on input keywords.

[1317] "Example 2: Combining Emotion Engines"

[1318] (Claim 1)

[1319] an input means for a user to input keywords relating to appearance, personality, and voice;

[1320] a character generation means for generating a virtual character based on an input keyword;

[1321] a voice communication means for performing a voice communication and a chat means for performing a chat between the generated virtual character and the user;

[1322] emotion analysis means for analyzing emotions from a message input by a user;

[1323] a response adjusting means for adjusting a response of the virtual character based on the analyzed emotion;

[1324] A system including:

[1325] (Claim 2)

[1326] 10. The system of claim 1, wherein the generation of the virtual character uses a three-dimensional model, personality attributes, and voice database.

[1327] (Claim 3)

[1328] 10. The system of claim 1, further comprising a character generation algorithm that selects appropriate character data based on input keywords.

[1329] "Application example 2 when combining emotion engines"

[1330] (Claim 1)

[1331] an input means for a user to input keywords relating to appearance, personality, and voice;

[1332] a character generation means for generating a virtual character based on a keyword input by a user;

[1333] a voice communication means for performing a voice communication and a chat means for performing a chat between the generated virtual character and the user;

[1334] emotion analysis means for analyzing the emotions of a user;

[1335] a response generation means for adjusting the response of the virtual character based on the emotion analysis means;

[1336] a speech conversion means for converting the generated response into speech;

[1337] an interface means for a user to interact with the virtual character through a smart device;

[1338] A system including:

[1339] (Claim 2)

[1340] 10. The system of claim 1, wherein the generation of the virtual character uses a three-dimensional model, personality attributes, and voice database.

[1341] (Claim 3)

[1342] 10. The system of claim 1, further comprising a character generation algorithm that selects appropriate character data based on input keywords. [Explanation of symbols]

[1343] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. an input means for a user to input keywords relating to appearance, personality, and voice; a character generation means for generating a virtual character based on an input keyword; a voice communication means for performing a voice communication and a chat means for performing a chat between the generated virtual character and the user; A system including:

2. 10. The system of claim 1, wherein the generation of the virtual character uses a 3D model, personality attributes, and voice database.

3. The system of claim 1 further comprising a character generation algorithm that selects appropriate character data based on input keywords.

4. 2. The system according to claim 1, further comprising a natural language processing engine that analyzes a message input by a user and generates a response in response to the message.

5. 2. The system of claim 1, further comprising a text-to-speech synthesis means for generating speech in response to a user's input using speech synthesis techniques.

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