System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting characteristics and objectives of a character to be generated by a user; database means for storing the user's input information; means for assigning the design of the character to an expert; means for transmitting the expert-generated character profile to the user; and means for accepting user feedback and facilitating redesign.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Currently, generative AI is primarily used for the purpose of automating and streamlining business processes. However, as individualized evolution progresses, the importance of having an identity, such as appearance, voice quality, and personality, will likely increase. Users tend to desire unique and approachable AI partners, and to fulfill this need, generative AI must be character-ized and visualized. However, current technology lacks the means to efficiently and effectively generate and provide these elements. Furthermore, for generative AI to be deeply involved in users' daily lives, real-time interaction and a physical presence are required, but specific implementation methods for this have not yet been established. [Means for solving the problem]

[0005] The present invention provides a means for storing the characteristics and goals of a character entered by a user in a database and assigning them to an expert. It also includes a means for the expert to send the character profile generated by the expert to the user and accept feedback. This means encourages redesign until the user is satisfied. It also provides a means for installing the generated character profile in a wearable device or metaverse space to enable daily communication. It also includes a means for installing the profile of the generated AI in a robot so that it functions as a physical presence. In this way, a system is provided that deepens the bond between the user and the generated AI and strengthens its function as a friendly partner.

[0006] "User" refers to a company or individual who uses the system, inputs the characteristics and goals of a character, and receives the generated character profile.

[0007] "Database Means" refers to a combination of software and hardware for storing data such as user-entered information and generated character profiles.

[0008] "Experts" refers to people who have the skills to design characters and set stories, such as designers and storytellers.

[0009] A "character profile" is a data set that details a character's appearance, voice quality, personality, and other characteristics.

[0010] "Wearable devices" refer to electronic devices that users can wear and use in their daily lives, such as smartwatches and smart glasses.

[0011] A "metaverse space" is a digital space that uses virtual reality and augmented reality, and refers to an environment where users and generative AI can interact and collaborate.

[0012] "Operational testing" refers to the process of checking and verifying whether a system or device incorporating generative AI operates correctly.

[0013] "Feedback" refers to opinions and requests for improvement provided by users regarding the generated character profiles and system behavior.

[0014] "Redesign" refers to the process of improving and rebuilding parts of the generated character profiles and systems based on user feedback. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] This invention relates to a system in which users input characteristics and goals into a generative AI, and experts generate and provide character profiles based on that information. This system further enables the generative AI to interact with users in a variety of ways by installing the generated character profiles in wearable devices, metaverse spaces, and robots.

[0037] Generative AI character and image creation service

[0038] 1. User:

[0039] Users can apply for the character creation service by accessing a dedicated web portal, where they fill out a form describing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0040] 2. Server:

[0041] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[0042] 3. Terminal (Designer / Storyteller):

[0043] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[0044] 4. Server:

[0045] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[0046] Wearable device implementation service

[0047] 1. User:

[0048] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[0049] 2. Server:

[0050] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[0051] 3. Terminal (wearable device):

[0052] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life.

[0053] Providing a metaverse space for interaction between users and generative AI

[0054] 1. Server:

[0055] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[0056] 2. User:

[0057] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[0058] 3. Device (user PC / VR device):

[0059] The user's device renders graphics of the metaverse space in real time and provides an interactive interface with the generative AI.

[0060] Development of real robot services

[0061] 1. Server:

[0062] The server prepares firmware to install the character profile with the generated AI into the real robot.

[0063] 2. Terminal (Robot):

[0064] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[0065] 3. User:

[0066] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[0067] In this way, the present invention provides a system for characterizing generated AI and actually utilizing it, and provides an environment in which users can interact with generated AI in a friendly manner in a variety of ways.

[0068] The processing flow will be explained below.

[0069] Generative AI character and image creation service

[0070] Step 1:

[0071] Users log in to a dedicated web portal, apply for the characterization service, and fill out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0072] Step 2:

[0073] The server receives the user's input and stores it in a database.

[0074] Step 3:

[0075] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[0076] Step 4:

[0077] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[0078] Step 5:

[0079] The device (designer / storyteller) sends the generated character profile to the server.

[0080] Step 6:

[0081] The server verifies the generated character profile and sends it to the user.

[0082] Step 7:

[0083] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[0084] Step 8:

[0085] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[0086] Wearable device implementation service

[0087] Step 1:

[0088] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[0089] Step 2:

[0090] The server sends the character profile through an API for the wearable device and manages the device installation process.

[0091] Step 3:

[0092] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[0093] Step 4:

[0094] The user completes the initial setup wizard and performs daily interactions with the generative AI.

[0095] Providing a metaverse space for interaction between users and generative AI

[0096] Step 1:

[0097] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[0098] Step 2:

[0099] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[0100] Step 3:

[0101] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[0102] Step 4:

[0103] Users interact and collaborate with generative AI within the metaverse space.

[0104] Step 5:

[0105] The server manages the data streams between the user and the generated AI and stores a log of interactions.

[0106] Development of real robot services

[0107] Step 1:

[0108] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[0109] Step 2:

[0110] The terminal (robot) downloads and installs the specified firmware.

[0111] Step 3:

[0112] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[0113] Step 4:

[0114] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[0115] Step 5:

[0116] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[0117] Step 6:

[0118] The server receives feedback from users and updates the firmware as needed to improve the robot's performance.

[0119] Example 1

[0120] 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."

[0121] Previous character profile generation systems faced challenges in accurately reflecting the user's desired character characteristics and goals. Furthermore, they lacked an interface for utilizing the generated character profile across a variety of devices, limiting user interaction. Furthermore, real-time interaction and collaboration between the user and the generating AI in the virtual space often did not proceed smoothly, which compromised the user experience.

[0122] 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.

[0123] In this invention, the server includes means for a user to input the characteristics and goals of a character to be generated, storage means for storing the user's input information, means for assigning the character design to an expert, means for sending the character profile generated by the expert to the user, means for accepting user feedback and promoting redesign, means for generating a character profile using a generative AI model, and means for activating the generative AI model based on a prompt sentence input by the user. This makes it possible to generate a character profile with characteristics and goals specified in detail by the user and to effectively implement the profile in a variety of devices and virtual spaces.

[0124] A "user" is an entity that uses the system to input a character's characteristics and goals and then uses the generative AI model based on them.

[0125] "Character characteristics and purpose" refers to the specific appearance, personality, and use of the character that a user creates through a generative AI model.

[0126] "Means of input" refers to the interface or operating means by which a user inputs the character's characteristics and goals into the system.

[0127] "Storage means" refers to a storage device for storing information entered by a user and generated character profiles.

[0128] "Assignment means" refers to the mechanism that automatically assigns design tasks to experts based on the character information entered by the user.

[0129] "Expert" refers to a professional with specific skills and knowledge to create character designs and profiles.

[0130] "Means of transmission" refers to the means of communication used to deliver the character profile generated by the expert to the user.

[0131] "Generative AI model" refers to an artificial intelligence model that generates a character profile based on user input information.

[0132] A "prompt" is an instruction that the user inputs to the generating AI, clearly stating the character's characteristics and objectives.

[0133] "Mobile device" refers to a portable electronic device such as a smartwatch or smart glasses.

[0134] "Virtual space" refers to a digital environment in which users and generative AI can interact and collaborate.

[0135] "Data stream" refers to the real-time flow of data and transmission of information within a virtual space.

[0136] This invention is a system in which users specify the characteristics and goals of a character using a generative AI model, and a character profile is generated and provided by experts. This system also has the function of implementing the generated character profile on a mobile device or in a virtual space, enabling interaction with the user.

[0137] First, users access a dedicated web portal and input their desired character's characteristics and purpose, such as a prompt such as "a brave knight with a polite personality and a deep male voice." To do so, users use their browser to enter their details into a form provided after logging in.

[0138] The server then receives the user-entered information and stores it in a database, using the Django framework to process the form data and storing it in AWS RDS. This information is then assigned to an expert before being processed using a generative AI model.

[0139] Expert designers and storytellers receive task notifications on their devices. Designers use Adobe Creative Cloud, and storytellers use Google Docs to create character profiles. Once created, they upload them to the server, which stores the uploaded files in AWS S3 and notifies the user.

[0140] Once notified, users can review the character profile and provide feedback if necessary. If a redesign is required, the server will resubmit the feedback to the experts, facilitating the revision process. This process is streamlined using Slack API integration.

[0141] The final character profile is installed on the user's mobile device. The server uses AWS Lambda to send the downloaded character profile to the device via an API. A dedicated app on the device then launches, loads the character profile, and operates.

[0142] The system also provides the ability for users and the generated AI to interact and collaborate in a virtual space. The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users can access the virtual space using their own PC or VR device and interact with the generated AI characters there. Specifically, a PC equipped with an NVIDIA GPU renders the virtual space created in Unity in real time and displays it on Oculus Rift.

[0143] Thus, the present invention aims to provide a system for characterizing generative AI and actually utilizing it, and to provide an environment in which users can interact with generative AI in a friendly manner in a variety of ways.

[0144] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0145] Step 1:

[0146] User input

[0147] Input: The user accesses a dedicated web portal and enters the desired character traits and goals, such as a prompt such as "a brave knight with a polite personality and a deep male voice."

[0148] What happens: The user fires up a browser, enters a URL, logs into a dedicated web portal, and then fills in a form with their specific preferences.

[0149] Output: The entered information is generated as form data.

[0150] Step 2:

[0151] Receiving and storing information on the server

[0152] Input: The form data entered by the user in step 1.

[0153] Processing: The server receives the form data using the Django framework and stores it in AWS RDS. It validates the data format before saving it to the database.

[0154] Output: User input information stored in a database.

[0155] Step 3:

[0156] Automatic task assignment

[0157] Input: User input information stored in the database.

[0158] Processing: The server automatically assigns tasks to designers and storytellers using a task management system (e.g., Slack API integration) based on the stored data. Notifications are sent to the responsible parties during this process.

[0159] Output: Designers and Storytellers receive task notifications.

[0160] Step 4:

[0161] Character design generation by designers and storytellers

[0162] Input: Designers and Storytellers who receive task notifications.

[0163] Process: The designer creates character designs using Adobe Creative Cloud. The storyteller creates character storylines using Google Docs. Both parties upload the completed files to the server.

[0164] Output: The completed character profile is uploaded to the server.

[0165] Step 5:

[0166] Profile verification and transmission by the server

[0167] Input: Uploaded character profile.

[0168] Processing: The server saves the uploaded file to AWS S3, sends a notification email to the user, and verifies the integrity of the saved file.

[0169] Output: A notification email to the user and a saved character profile.

[0170] Step 6:

[0171] User feedback and fixes

[0172] Input: The character profile sent to the user.

[0173] Action: The user clicks the link in the email to access the confirmation page and enters their feedback, which the server then sends back to the experts to facilitate the correction.

[0174] Output: Designers and storytellers who received the revision request, along with the revised character profile.

[0175] Step 7:

[0176] Installing the final character profile on your device

[0177] Input: Final character profile.

[0178] Processing: Users download and install their character profiles using a dedicated mobile device app. The server uses AWS Lambda to send the profiles to the devices and track and manage the installation progress.

[0179] Output: Character profile installed on the handheld device.

[0180] Step 8:

[0181] Virtual space dialogue and collaboration

[0182] Input: Final character profile and user's PC / VR device.

[0183] Processing: The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users log in to the virtual space using a PC or VR device and interact with the characters.

[0184] Output: Real-time interaction and collaboration in virtual space.

[0185] Step 9:

[0186] Data stream management and storage

[0187] Input: Real-time interaction data in virtual space.

[0188] Processing: The server manages and, if necessary, stores the data streams generated within the virtual world. This processing includes checking the integrity of the data in real time and storing it for later analysis.

[0189] Output: The saved data stream.

[0190] In this way, each processing step is configured to perform data processing and calculations based on specific input data, and then pass the output to the next step.

[0191] (Application example 1)

[0192] 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."

[0193] Conventional home security systems have limited user interaction, lacking a sense of security and ease of operation. Furthermore, many systems have mechanical intrusion detection and notification mechanisms, making them unfriendly to users. This has led to problems that make it difficult for users to actively use security systems.

[0194] 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.

[0195] In this invention, the server includes means for a user to input the characteristics and purpose of a character to be generated, database means for storing the user's input information, means for assigning the character design to an expert, means for the expert to send the generated character profile to the user, means for accepting user feedback and promoting redesign, means for incorporating the character profile into the security system, and means for the generating AI to detect unauthorized intrusion and notify the user. This allows users to enjoy an interactive security experience using characters that meet their individual needs.

[0196] A "user" is an individual or corporation that uses the system to input the characteristics and goals of a character and enjoys services using the generation AI.

[0197] "Character characteristics" refers to the specific characteristics, appearance, personality, voice quality, and other attribute information of the character desired by the user.

[0198] "Purpose" refers to the specific use or purpose for which the user will use the character, such as home security or conversation.

[0199] "Database means" means a system for temporarily or permanently storing and saving information entered by users.

[0200] An "expert" is someone who specializes in character design and profile creation.

[0201] A "character profile" is a profile that contains detailed attribute information of a character created by an expert.

[0202] A "security system" is a system of technical devices and software that ensures safety within a home or business.

[0203] "Generative AI" is an artificial intelligence technology that generates a character profile based on input data and allows that character to interact with the user.

[0204] "Means of notification" refers to a method or system for notifying users when an abnormality such as unauthorized intrusion is detected.

[0205] The present invention is a system that incorporates characterization using generative AI into a home security system, providing an environment where users can interact with the system more interactively. Specific embodiments of the system are described below.

[0206] System Configuration

[0207] This system consists of the following elements: users, servers, and terminals (e.g., security cameras and security robots). The main hardware and software components are as follows:

[0208] Hardware: Servers (e.g., Amazon EC2), home security cameras, security robots

[0209] Software: Python, FAST API (backend for AI profile generation), smart home management system

[0210] Program Generation

[0211] 1. User input:

[0212] Users access a dedicated web portal and input their character's characteristics and goals by filling out a form with details such as appearance, voice quality, personality, and intended use.

[0213] Example prompt sentence:

[0214] Characteristic: Friendly

[0215] Purpose: Home security

[0216] Request: A robotic pet with a gentle voice and a dependable personality

[0217] 2. Data transmission and storage:

[0218] The server receives input from the user.

[0219] Store it in a database and assign tasks to experts.

[0220] 3. Generate a character profile:

[0221] The assigned expert will use specialized software to generate a character profile.

[0222] The generated profile is sent to the server and provided to the user.

[0223] 4. Installation on security systems:

[0224] The final character profile approved by the user is installed on a home security system (e.g., a smart camera or security robot).

[0225] The server manages the profile distribution and installation process.

[0226] Detailed processing instructions

[0227] User input

[0228] Access the web portal.

[0229] Enter the characteristics and purpose in the form.

[0230] Processing on the server

[0231] Save the received data in the database.

[0232] Assign tasks to experts.

[0233] The generated character profile is sent to the user.

[0234] Gather user feedback and drive redesign where necessary.

[0235] Device interactions and notifications

[0236] The installed character works with the home security system.

[0237] If the AI ​​detects an intrusion, it will notify the user through a character profile.

[0238] This makes the security system more familiar to users, providing high operability and a sense of security. Characters using generated AI notify users in real time when an unauthorized intrusion is detected, enabling them to take appropriate measures immediately.

[0239] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0240] Step 1:

[0241] User-entered character profile

[0242] Users access a dedicated web portal. They input their character's characteristics and goals. For example, they can input "friendly" or "reliable" as characteristics, and "home security" as a goal. They also input specific requests (e.g., robotic pet appearance, gentle voice). The input information is sent to the server via a web form.

[0243] Input: User's character traits, goals, and specific requests

[0244] Output: Send data to the server

[0245] Step 2:

[0246] Server stores data and assigns tasks

[0247] The server receives the input information sent by the user and stores it in a database. Then, based on that information, it assigns character profile design tasks to experts. Experts are notified via a dedicated task management system.

[0248] Input: User input information

[0249] Output: Save to database, assign tasks to experts

[0250] Step 3:

[0251] Expert character profile generation

[0252] The expert uses specialized software to generate a character profile based on the assigned task, including details such as appearance, voice quality, and personality, and then sends the profile to a server.

[0253] Input: User input information, expert design techniques

[0254] Output: Generated character profile

[0255] Step 4:

[0256] Server submits profile and collects feedback

[0257] The server sends the generated character profile to the user, who reviews the profile and provides feedback. The server receives this feedback and prompts redesign if necessary.

[0258] Input: Generated character profile, user feedback

[0259] Output: Send profile to user, collect feedback

[0260] Step 5:

[0261] Installation on security systems

[0262] The final character profile approved by the user is installed on the security system (smart camera or security robot). The server manages the profile distribution and installation process.

[0263] Input: Final character profile

[0264] Output: Installed on security system

[0265] Step 6:

[0266] Real-time monitoring and notification with generative AI

[0267] Devices (e.g., security cameras and robots) monitor the home using the installed characters, and if an intrusion is detected, the generated AI notifies the user in real time through the character profile.

[0268] Input: Character profile, real-time monitoring data

[0269] Output: User notification, anomaly report

[0270] 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.

[0271] This invention relates to a system in which users input their characteristics and goals into a generating AI, and experts use that information to generate and provide a character profile. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing the generating AI to respond adaptively according to the user's emotions, thereby achieving more personalized dialogue. This emotion engine analyzes the user's emotions in real time and adaptively changes the generating AI's responses and dialogue content.

[0272] Generative AI character and image creation service

[0273] 1. User:

[0274] Users can apply for the character creation service by accessing a dedicated web portal and filling out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0275] 2. Server:

[0276] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[0277] 3. Terminal (Designer / Storyteller):

[0278] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[0279] 4. Server:

[0280] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[0281] Incorporating an emotion engine

[0282] 1. Emotion Engine:

[0283] The emotion engine analyzes the user's voice and facial expressions in real time to recognize their emotions, and this emotion data is sent to the server.

[0284] 2. Server:

[0285] The server analyzes the user's emotional data received from the emotion engine and adaptively adjusts the AI's response. For example, if the user is feeling stressed, the AI ​​will be configured to offer comforting words.

[0286] 3. Devices (wearable devices, metaverse, robots):

[0287] The generative AI will then adapt to the user's emotions and provide them with personalized interactions on the device. For example, if the user is having fun in the metaverse, the generative AI can suggest more enjoyable activities.

[0288] Wearable device implementation service

[0289] 1. User:

[0290] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[0291] 2. Server:

[0292] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[0293] 3. Terminal (wearable device):

[0294] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's response accordingly.

[0295] Providing a metaverse space for interaction between users and generative AI

[0296] 1. Server:

[0297] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[0298] 2. User:

[0299] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[0300] 3. Device (user PC / VR device):

[0301] The user's device renders the graphics of the metaverse space in real time and provides a dialogue interface with the generative AI. An emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[0302] Development of real robot services

[0303] 1. Server:

[0304] The server prepares firmware to install the character profile with the generated AI into the real robot.

[0305] 2. Terminal (Robot):

[0306] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[0307] 3. User:

[0308] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[0309] In this way, the present invention not only provides a system for characterizing generative AI and actually utilizing it, but also provides a system that incorporates an emotion engine and realizes adaptive dialogue and reactions according to the user's emotions.

[0310] The processing flow will be explained below.

[0311] Generative AI character and image creation service

[0312] Step 1:

[0313] Users log in to a dedicated web portal and apply for the character creation service. They fill out a form detailing the character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0314] Step 2:

[0315] The server receives the user's input and stores it in a database.

[0316] Step 3:

[0317] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[0318] Step 4:

[0319] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[0320] Step 5:

[0321] The device (designer / storyteller) sends the generated character profile to the server.

[0322] Step 6:

[0323] The server verifies the generated character profile and sends it to the user.

[0324] Step 7:

[0325] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[0326] Step 8:

[0327] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[0328] Incorporating an emotion engine

[0329] Step 1:

[0330] The user puts on the dedicated wearable device and begins setting up the emotion engine. The user performs the initial setup to incorporate their own voice and facial expression data into the emotion engine.

[0331] Step 2:

[0332] The terminal (wearable device) sends the user's voice and facial expression data to an emotion engine, which analyzes their emotions.

[0333] Step 3:

[0334] The emotion engine analyzes the user's emotions in real time and sends the data to the server.

[0335] Step 4:

[0336] The server analyzes the data received from the emotion engine and adaptively adjusts the generative AI's response. For example, if the user is feeling stressed, the generative AI is set to offer comforting words.

[0337] Step 5:

[0338] Generative AI engages in adaptive dialogue based on the user's emotions on wearable devices.

[0339] Wearable device implementation service

[0340] Step 1:

[0341] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[0342] Step 2:

[0343] The server sends the character profile through an API for the wearable device and manages the device installation process.

[0344] Step 3:

[0345] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[0346] Step 4:

[0347] The user completes the initial setup wizard and interacts with the generative AI on a daily basis. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's responses.

[0348] Providing a metaverse space for interaction between users and generative AI

[0349] Step 1:

[0350] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[0351] Step 2:

[0352] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[0353] Step 3:

[0354] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[0355] Step 4:

[0356] Users interact with generative AI in the metaverse space and collaborate. The emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[0357] Development of real robot services

[0358] Step 1:

[0359] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[0360] Step 2:

[0361] The terminal (robot) downloads and installs the specified firmware.

[0362] Step 3:

[0363] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[0364] Step 4:

[0365] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[0366] Step 5:

[0367] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[0368] Step 6:

[0369] The server receives feedback from users and updates the firmware as needed to improve the robot's performance, while the emotion engine analyzes the user's emotions and adjusts the robot's responses.

[0370] Example 2

[0371] 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."

[0372] Currently, character profile creation and user interaction using generative AI lack adaptive responses that take the user's emotions into account, making it difficult to provide an individually customized experience. Another issue is the complex process of applying generated characters to wearable devices or the metaverse, which requires a lot of effort from the user. Furthermore, systems that can collaborate with real robots to provide adaptive interaction are still underdeveloped.

[0373] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0374] In this invention, the server includes means for analyzing the user's voice and facial expressions to acquire emotional data, means for adaptively adjusting the reaction of the generation AI based on the emotional data, and means for the generation AI to engage in dialogue based on the user's emotions, thereby enabling personalized dialogue and adaptive reactions from the generation AI in accordance with the user's individual emotions.

[0375] "User" means an individual or legal entity that uses the system to create and interact with a character profile.

[0376] "Generative AI" is an artificial intelligence model that generates specific character profiles and engages in dialogue based on user requests.

[0377] A "character profile" is data that describes in detail a character's appearance, personality, voice quality, and other characteristics.

[0378] "Specialized software" refers to specific applications used by designers and storytellers to generate character profiles.

[0379] A "database" is a storage device or system for storing user input information and generated character profiles.

[0380] An "emotion engine" is a device or program that analyzes the user's voice and facial expressions to obtain emotion data.

[0381] A "metaverse space" is a virtual space where users and generated AI can interact and collaborate using virtual reality and augmented reality.

[0382] A "wearable device" is an electronic device that can be worn by the user and allows them to interface with generative AI in their daily lives.

[0383] "Firmware" is a software program that installs the character profile of a generated AI into a real robot.

[0384] "Real-time analysis" is a data processing technology that processes data instantly and reflects the results immediately.

[0385] This invention relates to a system that uses generative AI to allow users to generate character profiles and then apply them to wearable devices, the metaverse, and real robots. In particular, it is characterized by its ability to analyze the user's emotions in real time and to engage in adaptive dialogue according to their emotions.

[0386] Characterization and image creation services

[0387] 1. User inputs information

[0388] Users access a web portal and input their character's characteristics and intended use. Specifically, users open a web browser, access the portal, fill out a form, and submit it, detailing the desired character's appearance, voice quality, personality, etc.

[0389] 2. Receipt and storage of information by the server

[0390] The server receives the information entered by the user and stores it in a database. This is done with a Python and Flask backend. The input data is stored in a MySQL database.

[0391] 3. Automatic task assignment by the server

[0392] The server automatically assigns tasks to designers and storytellers based on the saved information, and notifies them via API using a task management tool.

[0393] 4. Character design generation on the device

[0394] Designers and storytellers use specialized software to generate character profiles, for example, Adobe Photoshop to design the character's appearance and story creation software to create the character profile.

[0395] 5. Send and verify the profile to the server

[0396] Once the design is complete, the device sends the profile to the server, which then verifies it and sends it to the user. This is done using a mail sending system (such as SendGrid) via a REST API.

[0397] 6. Feedback and Redesign

[0398] If feedback is received from the user and redesign is necessary, the server reassigns the task. Feedback is accepted via email reply, etc., and the profile is revised.

[0399] Incorporating an emotion engine

[0400] The emotion engine analyzes the user's voice and facial expressions in real time and adjusts the generative AI's responses. The user's voice data is analyzed using the Google Cloud Speech-to-Text API, and facial expression data is analyzed using the Facial Recognition API. The analysis results are sent to the server via WebSocket. The server analyzes the data using a Python real-time analysis library (e.g., Pandas) and adaptively adjusts the generative AI's responses.

[0401] Implementation in wearable devices

[0402] The generated character profile is installed on the wearable device. The user installs it using a dedicated app and engages in personalized interactions with the generated AI in their daily lives. The server manages the installation process using the wearable device API.

[0403] Providing Metaverse spatial exchange

[0404] The server manages the metaverse platform and integrates the profiles of users and generative AI. Interactions and collaboration take place within the metaverse. Users access the metaverse, which is built using Unity or Unreal Engine, and the generative AI provides personalized interactions.

[0405] Development of real robot services

[0406] The server prepares firmware to install the generated AI character profile on the real robot. The robot downloads the specified firmware, confirms that it is working properly, and then executes the task. Feedback is received from the user, and updates are made as necessary.

[0407] Examples of concrete examples and prompts

[0408] If a user requests an "educational character to play with their children at home":

[0409] Users enter their requirements into a web portal, such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny."

[0410] Example prompt: "Create an educational character to play with children. He should have a kind face and a high-pitched, sweet voice. His personality should be educational and fun."

[0411] As a result, the present invention enables personalized dialogue based on the user's emotions and adaptive responses from generative AI, enhancing its practicality across a variety of devices and environments.

[0412] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0413] Program processing flow

[0414] Step 1:

[0415] User input of information

[0416] Users access a dedicated web portal and enter their character's characteristics and intended use.

[0417] Specific actions: The user opens a web browser, accesses the portal, enters information such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny" into a form, and clicks the submit button.

[0418] Input: Character traits, purpose of use, specific requests

[0419] Output: User request data sent

[0420] Step 2:

[0421] Receiving and storing information on the server

[0422] The server receives the information entered by the user and stores it in a database.

[0423] What it does: The server receives information with a backend using Python and Flask and records it in a MySQL database.

[0424] Input: User request data submitted

[0425] Output: User request data stored in a database

[0426] Step 3:

[0427] Automatic task assignment by the server

[0428] The server automatically assigns tasks to designers and storytellers based on the stored information.

[0429] What it does: The server script adds a task to a task management tool (e.g., Trello) via API and notifies the designer and storyteller.

[0430] Input: User request data stored in the database

[0431] Output: Task notifications for designers and storytellers

[0432] Step 4:

[0433] Device-based character design generation

[0434] Designers and storytellers use specialized software to generate character profiles.

[0435] What it does: The designer opens Adobe Photoshop to design the character's appearance, and the storyteller uses story writing software (e.g., Scrivener) to create a character profile.

[0436] Input: Task notification, user request data

[0437] Output: Generated character profile

[0438] Step 5:

[0439] Sending and checking character designs to the server

[0440] The generated character profile is sent to the server, which then verifies it and sends it to the user.

[0441] Specific operation: The completed design file is uploaded to the server, which receives it and sends it to the user. For sending, a REST API is used, and an email sending system (e.g., SendGrid) is used.

[0442] Input: Generated character profile

[0443] Output: Sends the character profile to the user

[0444] Step 6:

[0445] Receive feedback and redesign

[0446] Feedback is received from the user and the server reassigns the task if any corrections are required.

[0447] What happens: The user sends feedback via email reply, etc. The server analyzes the feedback and adds the task back to Trello.

[0448] Input: User feedback

[0449] Output: New task notifications based on redesign

[0450] Step 7:

[0451] Emotional data analysis using an emotion engine

[0452] The emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional data.

[0453] How it works: The emotion engine collects data from the user's webcam and microphone, and analyzes voice data using the Google Cloud Speech-to-Text API and facial expression data using the Facial Recognition API.

[0454] Input: User's voice data, facial expression data

[0455] Output: Obtained emotion data

[0456] Step 8:

[0457] Receiving and analyzing emotion data by the server

[0458] Emotional data is sent to a server in real time, which then adjusts the response of the generated AI.

[0459] How it works: The emotion engine client sends emotion data to the server using WebSocket, and the server uses a real-time analytics library (e.g., Pandas) to analyze the data and adjust the generative AI.

[0460] Input: Captured emotion data

[0461] Output: Adaptive response of the generative AI

[0462] Step 9:

[0463] Emotion-based interaction on devices

[0464] The generative AI engages in adaptive dialogue based on the user's emotions on the device.

[0465] Specific operation: The generative AI sends conversational messages to the user through the device's chat application (e.g., Slack) and responds adaptively according to the user's emotions.

[0466] Input: Adaptive response of generative AI

[0467] Output: A personalized conversational message to the user

[0468] Step 10:

[0469] Installing a character profile on a wearable device

[0470] The generated character profile is installed on the wearable device.

[0471] Specific operation: The user opens the dedicated app and downloads and installs the provided character profile. The server manages the process using the wearable device API.

[0472] Input: Character Profile

[0473] Output: Character profile installed on the wearable device

[0474] Step 11:

[0475] Interacting and collaborating in the metaverse

[0476] The user and the generated AI interact and collaborate in the metaverse space.

[0477] Specific operation: The user puts on the VR set and logs into the Metaverse space. The generative AI provides adaptive dialogue, allowing collaboration to proceed.

[0478] Input: User behavior information, generating AI profile

[0479] Output: Interacting and collaborating in the metaverse space

[0480] Step 12:

[0481] Installing a character profile on a real robot

[0482] The server prepares firmware to install the generated AI's character profile into a real robot, and the robot confirms that it is operating normally.

[0483] Specific operation: The robot downloads the firmware from the specified URL and installs it. After installation, it performs a functional test to confirm normal operation.

[0484] Input: Character profile, firmware

[0485] Output: A real robot that can function normally

[0486] This allows users to use character profiles generated by generative AI on a variety of devices and environments, such as wearable devices, the metaverse, and real robots, and enjoy a personalized experience tailored to their individual emotions.

[0487] (Application example 2)

[0488] 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."

[0489] Conventional character profile generation systems lack dialogue and responses that take user emotions into account, making it difficult to provide personalized customer service and improve customer experience. There is also a lack of effective means to improve the quality of customer service in physical stores. To solve these problems, a system is needed that can analyze user and customer emotions in real time and instantly provide adaptive dialogue and responses based on that analysis.

[0490] 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.

[0491] In this invention, the server includes: a means for inputting the characteristics and goals of a character to be created by a user; a database means for storing the user's input information; a means for assigning the character design to an expert; a means for sending the character profile created by the expert to the user; a means for accepting user feedback and promoting redesign; an emotion analysis means for analyzing customer emotions; a means for generating adaptive dialogue in response to the customer's emotions; and a means for displaying the adaptive dialogue on a wearable device. This enables personalized dialogue and customer service in response to the emotions of the user or customer. This system can significantly improve the quality of customer service in physical stores and increase customer satisfaction.

[0492] "User" means any individual or legal entity that uses the System.

[0493] A "character" is a virtual being that has the profile and characteristics of a person or object that a user wishes to create.

[0494] "Characteristics" refers to individual characteristics of a character, such as appearance, voice quality, and personality.

[0495] "Purpose" indicates the reason why the user creates the character and how it will be used.

[0496] An "input means" is a device or mechanism that allows a user to provide data or information to a system.

[0497] "Database means" refers to a system or device for recording and storing user input information.

[0498] An "expert" is an individual or group with specialized skills in designing or generating character profiles.

[0499] The "allocation method" is a mechanism for assigning the task to the appropriate expert based on the user's input information.

[0500] "Transmission means" refers to the method or mechanism for delivering the character profile generated by the expert to the user.

[0501] "Feedback" refers to evaluations and improvement requests provided by users.

[0502] "Means to facilitate redesign" are methods for rebuilding character profiles based on user feedback.

[0503] "Emotion analysis means" refers to technology or equipment for recognizing and analyzing the emotions of users or customers in real time.

[0504] "Means for generating adaptive dialogue" refers to technology or devices for creating appropriate dialogue and responses based on analyzed emotional data.

[0505] A "wearable device" is an electronic device that can be worn by a user in daily life, such as smart glasses or a smart watch.

[0506] A "system" is an integrated device or mechanism in which multiple means or devices work together to achieve a specific function.

[0507] This system allows users to input the characteristics and goals of the character they wish to create, and experts then generate and provide a character profile based on that information.The system incorporates emotion analysis means, enabling adaptive dialogue based on the user's emotions.

[0508] System Configuration

[0509] Hardware Configuration

[0510] The system includes the following hardware configuration:

[0511] Server: The central control unit where the database, sentiment analysis methods, and generative AI run.

[0512] Dedicated Terminal: A computer terminal used by designers and storytellers to generate character profiles.

[0513] Wearable devices: Smart glasses, smart watches, etc. worn by the user.

[0514] Software Configuration

[0515] The system includes the following software components:

[0516] Database management system: Software for storing and managing user-entered information.

[0517] Emotion analysis library (DeepFace, etc.): A library for analyzing emotions from user facial images in real time.

[0518] Character generation AI (GPT-3, etc.): Artificial intelligence that generates a character profile based on the user's characteristics and goals.

[0519] Example

[0520] 1. User data entry

[0521] Users access a dedicated web portal and input their character's characteristics and goals -- for example, they can enter a request such as "I want a character with a friendly appearance and personality." This information is sent to a server and stored in a database.

[0522] 2. Create and submit your character profile

[0523] The server assigns tasks based on the information entered by the user to the dedicated devices of the designers and storytellers. The experts use dedicated software to generate character profiles and send the results back to the server. The server then checks the generated profiles and sends them to the users. If necessary, it receives feedback from users and promotes redesign.

[0524] 3. Emotion Analysis and Adaptive Dialogue

[0525] When a user wears smart glasses and interacts with customers in a physical store, the emotion analysis library analyzes the customer's emotions in real time. Based on the analysis results, the server uses generative AI to generate adaptive dialogue and displays it on the smart glasses. For example, if the customer is smiling, a message such as "Hello, what a wonderful day today!" will be displayed.

[0526] Example prompt

[0527] Below is an example of a prompt you can use to generate a character profile:

[0528] Generate your character profile:

[0529] Username: User A

[0530] Age: 30

[0531] Intended use: Product description

[0532] Desired appearance: Friendly appearance

[0533] Desired personality: Friendly and easy-going

[0534] Profile Contents:

[0535] {

[0536] "friendly_greeting": "Hello, what a great day today!",

[0537] "comforting_message": "You seem a little tired. Please take your time choosing.",

[0538] "neutral_greeting": "Welcome! What product are you looking for?"

[0539] }

[0540] This enables the system to provide personalized dialogue according to the user's or customer's emotions, improving customer satisfaction.

[0541] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0542] Step 1:

[0543] Users access a dedicated web portal and input their character's traits and goals.

[0544] What it does: A user fills out a form on a web portal, stating their preference, such as "I want a character with a friendly appearance and personality."

[0545] Input: User's desired character traits and goals

[0546] Output: JSON data containing the input information

[0547] Step 2:

[0548] The server stores the user's input information in a database.

[0549] Specific operation: The server stores the received JSON data in the database.

[0550] Input: JSON data containing user input information

[0551] Output: User information stored in the database

[0552] Step 3:

[0553] The server assigns tasks to designers and storytellers.

[0554] Specific operation: The server retrieves user information from the database and sends a task notification to the dedicated terminal.

[0555] Input: User information stored in a database

[0556] Output: Task notifications sent to the designer and storyteller's dedicated devices

[0557] Step 4:

[0558] Designers and storytellers use specialized software to generate character profiles.

[0559] What it does: Designers and storytellers use specialized software (e.g., Adobe Creative Suite) to create character designs and scenarios.

[0560] Input: Task notification and user preferences

[0561] Output: Generated character profile

[0562] Step 5:

[0563] The server sends the generated character profile to the user.

[0564] Specific operation: The server reviews the generated character profile and asks for feedback via the user's email or web portal.

[0565] Input: Generated character profile

[0566] Output: Notification to user asking for feedback

[0567] Step 6:

[0568] Users provide feedback and request redesigns if necessary.

[0569] Specific operations: The user reviews the received profile and submits any corrections or additions they would like to make through the web portal.

[0570] Input: User feedback

[0571] Output: Feedback information is saved on the server

[0572] Step 7:

[0573] The server sends the feedback information back to the designer and storyteller to facilitate redesign.

[0574] What it does: The server analyzes the feedback information and reassigns the necessary correction tasks to the designers and storytellers.

[0575] Input: Saved feedback information

[0576] Output: Reassigned task notification

[0577] Step 8:

[0578] The designer and storyteller redesign the character and submit the revised character profile to the server.

[0579] What happens: The designer and storyteller will reflect the changes and regenerate the character profile.

[0580] Input: Reassignment task notification and feedback information

[0581] Output: Modified character profile

[0582] Step 9:

[0583] The server uses emotion analysis means to analyze the emotions of the customer.

[0584] Specific operation: Facial expression images acquired by smart glasses are analyzed using an emotion analysis library (e.g., DeepFace).

[0585] Input: Customer facial expression image

[0586] Output: Parsed emotion data

[0587] Step 10:

[0588] Based on the analysis results, the server uses generative AI to generate adaptive dialogue.

[0589] Specific operation: The server uses generative AI (e.g., GPT-3) to create an appropriate message based on the emotion data.

[0590] Input: Parsed emotion data

[0591] Output: Adaptive dialogue message

[0592] Step 11:

[0593] The server sends adaptive interaction messages to the wearable device for display.

[0594] Specific operation: The server sends the generated interaction message to the smart glasses and displays the message on the display.

[0595] Input: Adaptive dialogue message

[0596] Output: Message displayed on smart glasses

[0597] 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.

[0598] 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.

[0599] 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.

[0600] [Second embodiment]

[0601] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0602] 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.

[0603] 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).

[0604] 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.

[0605] 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.

[0606] 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).

[0607] 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.

[0608] 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.

[0609] 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.

[0610] 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.

[0611] In the smart glasses 214, 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.

[0612] 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."

[0613] This invention relates to a system in which users input characteristics and goals into a generative AI, and experts generate and provide character profiles based on that information. This system further enables the generative AI to interact with users in a variety of ways by installing the generated character profiles in wearable devices, metaverse spaces, and robots.

[0614] Generative AI character and image creation service

[0615] 1. User:

[0616] Users can apply for the character creation service by accessing a dedicated web portal, where they fill out a form describing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0617] 2. Server:

[0618] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[0619] 3. Terminal (Designer / Storyteller):

[0620] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[0621] 4. Server:

[0622] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[0623] Wearable device implementation service

[0624] 1. User:

[0625] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[0626] 2. Server:

[0627] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[0628] 3. Terminal (wearable device):

[0629] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life.

[0630] Providing a metaverse space for interaction between users and generative AI

[0631] 1. Server:

[0632] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[0633] 2. User:

[0634] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[0635] 3. Device (user PC / VR device):

[0636] The user's device renders graphics of the metaverse space in real time and provides an interactive interface with the generative AI.

[0637] Development of real robot services

[0638] 1. Server:

[0639] The server prepares firmware to install the character profile with the generated AI into the real robot.

[0640] 2. Terminal (Robot):

[0641] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[0642] 3. User:

[0643] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[0644] In this way, the present invention provides a system for characterizing generated AI and actually utilizing it, and provides an environment in which users can interact with generated AI in a friendly manner in a variety of ways.

[0645] The processing flow will be explained below.

[0646] Generative AI character and image creation service

[0647] Step 1:

[0648] Users log in to a dedicated web portal, apply for the characterization service, and fill out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0649] Step 2:

[0650] The server receives the user's input and stores it in a database.

[0651] Step 3:

[0652] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[0653] Step 4:

[0654] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[0655] Step 5:

[0656] The device (designer / storyteller) sends the generated character profile to the server.

[0657] Step 6:

[0658] The server verifies the generated character profile and sends it to the user.

[0659] Step 7:

[0660] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[0661] Step 8:

[0662] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[0663] Wearable device implementation service

[0664] Step 1:

[0665] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[0666] Step 2:

[0667] The server sends the character profile through an API for the wearable device and manages the device installation process.

[0668] Step 3:

[0669] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[0670] Step 4:

[0671] The user completes the initial setup wizard and performs daily interactions with the generative AI.

[0672] Providing a metaverse space for interaction between users and generative AI

[0673] Step 1:

[0674] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[0675] Step 2:

[0676] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[0677] Step 3:

[0678] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[0679] Step 4:

[0680] Users interact and collaborate with generative AI within the metaverse space.

[0681] Step 5:

[0682] The server manages the data streams between the user and the generated AI and stores a log of interactions.

[0683] Development of real robot services

[0684] Step 1:

[0685] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[0686] Step 2:

[0687] The terminal (robot) downloads and installs the specified firmware.

[0688] Step 3:

[0689] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[0690] Step 4:

[0691] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[0692] Step 5:

[0693] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[0694] Step 6:

[0695] The server receives feedback from users and updates the firmware as needed to improve the robot's performance.

[0696] Example 1

[0697] 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."

[0698] Previous character profile generation systems faced challenges in accurately reflecting the user's desired character characteristics and goals. Furthermore, they lacked an interface for utilizing the generated character profile across a variety of devices, limiting user interaction. Furthermore, real-time interaction and collaboration between the user and the generating AI in the virtual space often did not proceed smoothly, which compromised the user experience.

[0699] 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.

[0700] In this invention, the server includes means for a user to input the characteristics and goals of a character to be generated, storage means for storing the user's input information, means for assigning the character design to an expert, means for sending the character profile generated by the expert to the user, means for accepting user feedback and promoting redesign, means for generating a character profile using a generative AI model, and means for activating the generative AI model based on a prompt sentence input by the user. This makes it possible to generate a character profile with characteristics and goals specified in detail by the user and to effectively implement the profile in a variety of devices and virtual spaces.

[0701] A "user" is an entity that uses the system to input a character's characteristics and goals and then uses the generative AI model based on them.

[0702] "Character characteristics and purpose" refers to the specific appearance, personality, and use of the character that a user creates through a generative AI model.

[0703] "Means of input" refers to the interface or operating means by which a user inputs the character's characteristics and goals into the system.

[0704] "Storage means" refers to a storage device for storing information entered by a user and generated character profiles.

[0705] "Assignment means" refers to the mechanism that automatically assigns design tasks to experts based on the character information entered by the user.

[0706] "Expert" refers to a professional with specific skills and knowledge to create character designs and profiles.

[0707] "Means of transmission" refers to the means of communication used to deliver the character profile generated by the expert to the user.

[0708] "Generative AI model" refers to an artificial intelligence model that generates a character profile based on user input information.

[0709] A "prompt" is an instruction that the user inputs to the generating AI, clearly stating the character's characteristics and objectives.

[0710] "Mobile device" refers to a portable electronic device such as a smartwatch or smart glasses.

[0711] "Virtual space" refers to a digital environment in which users and generative AI can interact and collaborate.

[0712] "Data stream" refers to the real-time flow of data and transmission of information within a virtual space.

[0713] This invention is a system in which users specify the characteristics and goals of a character using a generative AI model, and a character profile is generated and provided by experts. This system also has the function of implementing the generated character profile on a mobile device or in a virtual space, enabling interaction with the user.

[0714] First, users access a dedicated web portal and input their desired character's characteristics and purpose, such as a prompt such as "a brave knight with a polite personality and a deep male voice." To do so, users use their browser to enter their details into a form provided after logging in.

[0715] The server then receives the user-entered information and stores it in a database, using the Django framework to process the form data and storing it in AWS RDS. This information is then assigned to an expert before being processed using a generative AI model.

[0716] Expert designers and storytellers receive task notifications on their devices. Designers use Adobe Creative Cloud, and storytellers use Google Docs to create character profiles. Once created, they upload them to the server, which stores the uploaded files in AWS S3 and notifies the user.

[0717] Once notified, users can review the character profile and provide feedback if necessary. If a redesign is required, the server will resubmit the feedback to the experts, facilitating the revision process. This process is streamlined using Slack API integration.

[0718] The final character profile is installed on the user's mobile device. The server uses AWS Lambda to send the downloaded character profile to the device via an API. A dedicated app on the device then launches, loads the character profile, and operates.

[0719] The system also provides the ability for users and the generated AI to interact and collaborate in a virtual space. The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users can access the virtual space using their own PC or VR device and interact with the generated AI characters there. Specifically, a PC equipped with an NVIDIA GPU renders the virtual space created in Unity in real time and displays it on Oculus Rift.

[0720] Thus, the present invention aims to provide a system for characterizing generative AI and actually utilizing it, and to provide an environment in which users can interact with generative AI in a friendly manner in a variety of ways.

[0721] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0722] Step 1:

[0723] User input

[0724] Input: The user accesses a dedicated web portal and enters the desired character traits and goals, such as a prompt such as "a brave knight with a polite personality and a deep male voice."

[0725] What happens: The user fires up a browser, enters a URL, logs into a dedicated web portal, and then fills in a form with their specific preferences.

[0726] Output: The entered information is generated as form data.

[0727] Step 2:

[0728] Receiving and storing information on the server

[0729] Input: The form data entered by the user in step 1.

[0730] Processing: The server receives the form data using the Django framework and stores it in AWS RDS. It validates the data format before saving it to the database.

[0731] Output: User input information stored in a database.

[0732] Step 3:

[0733] Automatic task assignment

[0734] Input: User input information stored in the database.

[0735] Processing: The server automatically assigns tasks to designers and storytellers using a task management system (e.g., Slack API integration) based on the stored data. Notifications are sent to the responsible parties during this process.

[0736] Output: Designers and Storytellers receive task notifications.

[0737] Step 4:

[0738] Character design generation by designers and storytellers

[0739] Input: Designers and Storytellers who receive task notifications.

[0740] Process: The designer creates character designs using Adobe Creative Cloud. The storyteller creates character storylines using Google Docs. Both parties upload the completed files to the server.

[0741] Output: The completed character profile is uploaded to the server.

[0742] Step 5:

[0743] Profile verification and transmission by the server

[0744] Input: Uploaded character profile.

[0745] Processing: The server saves the uploaded file to AWS S3, sends a notification email to the user, and verifies the integrity of the saved file.

[0746] Output: A notification email to the user and a saved character profile.

[0747] Step 6:

[0748] User feedback and fixes

[0749] Input: The character profile sent to the user.

[0750] Action: The user clicks the link in the email to access the confirmation page and enters their feedback, which the server then sends back to the experts to facilitate the correction.

[0751] Output: Designers and storytellers who received the revision request, along with the revised character profile.

[0752] Step 7:

[0753] Installing the final character profile on your device

[0754] Input: Final character profile.

[0755] Processing: Users download and install their character profiles using a dedicated mobile device app. The server uses AWS Lambda to send the profiles to the devices and track and manage the installation progress.

[0756] Output: Character profile installed on the handheld device.

[0757] Step 8:

[0758] Virtual space dialogue and collaboration

[0759] Input: Final character profile and user's PC / VR device.

[0760] Processing: The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users log in to the virtual space using a PC or VR device and interact with the characters.

[0761] Output: Real-time interaction and collaboration in virtual space.

[0762] Step 9:

[0763] Data stream management and storage

[0764] Input: Real-time interaction data in virtual space.

[0765] Processing: The server manages and, if necessary, stores the data streams generated within the virtual world. This processing includes checking the integrity of the data in real time and storing it for later analysis.

[0766] Output: The saved data stream.

[0767] In this way, each processing step is configured to perform data processing and calculations based on specific input data, and then pass the output to the next step.

[0768] (Application example 1)

[0769] 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."

[0770] Conventional home security systems have limited user interaction, lacking a sense of security and ease of operation. Furthermore, many systems have mechanical intrusion detection and notification mechanisms, making them unfriendly to users. This has led to problems that make it difficult for users to actively use security systems.

[0771] 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.

[0772] In this invention, the server includes means for a user to input the characteristics and purpose of a character to be generated, database means for storing the user's input information, means for assigning the character design to an expert, means for the expert to send the generated character profile to the user, means for accepting user feedback and promoting redesign, means for incorporating the character profile into the security system, and means for the generating AI to detect unauthorized intrusion and notify the user. This allows users to enjoy an interactive security experience using characters that meet their individual needs.

[0773] A "user" is an individual or corporation that uses the system to input the characteristics and goals of a character and enjoys services using the generation AI.

[0774] "Character characteristics" refers to the specific characteristics, appearance, personality, voice quality, and other attribute information of the character desired by the user.

[0775] "Purpose" refers to the specific use or purpose for which the user will use the character, such as home security or conversation.

[0776] "Database means" means a system for temporarily or permanently storing and saving information entered by users.

[0777] An "expert" is someone who specializes in character design and profile creation.

[0778] A "character profile" is a profile that contains detailed attribute information of a character created by an expert.

[0779] A "security system" is a system of technical devices and software that ensures safety within a home or business.

[0780] "Generative AI" is an artificial intelligence technology that generates a character profile based on input data and allows that character to interact with the user.

[0781] "Means of notification" refers to a method or system for notifying users when an abnormality such as unauthorized intrusion is detected.

[0782] The present invention is a system that incorporates characterization using generative AI into a home security system, providing an environment where users can interact with the system more interactively. Specific embodiments of the system are described below.

[0783] System Configuration

[0784] This system consists of the following elements: users, servers, and terminals (e.g., security cameras and security robots). The main hardware and software components are as follows:

[0785] Hardware: Servers (e.g., Amazon EC2), home security cameras, security robots

[0786] Software: Python, FAST API (backend for AI profile generation), smart home management system

[0787] Program Generation

[0788] 1. User input:

[0789] Users access a dedicated web portal and input their character's characteristics and goals by filling out a form with details such as appearance, voice quality, personality, and intended use.

[0790] Example prompt sentence:

[0791] Characteristic: Friendly

[0792] Purpose: Home security

[0793] Request: A robotic pet with a gentle voice and a dependable personality

[0794] 2. Data transmission and storage:

[0795] The server receives input from the user.

[0796] Store it in a database and assign tasks to experts.

[0797] 3. Generate a character profile:

[0798] The assigned expert will use specialized software to generate a character profile.

[0799] The generated profile is sent to the server and provided to the user.

[0800] 4. Installation on security systems:

[0801] The final character profile approved by the user is installed on a home security system (e.g., a smart camera or security robot).

[0802] The server manages the profile distribution and installation process.

[0803] Detailed processing instructions

[0804] User input

[0805] Access the web portal.

[0806] Enter the characteristics and purpose in the form.

[0807] Processing on the server

[0808] Save the received data in the database.

[0809] Assign tasks to experts.

[0810] The generated character profile is sent to the user.

[0811] Gather user feedback and drive redesign where necessary.

[0812] Device interactions and notifications

[0813] The installed character works with the home security system.

[0814] If the AI ​​detects an intrusion, it will notify the user through a character profile.

[0815] This makes the security system more familiar to users, providing high operability and a sense of security. Characters using generated AI notify users in real time when an unauthorized intrusion is detected, enabling them to take appropriate measures immediately.

[0816] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0817] Step 1:

[0818] User-entered character profile

[0819] Users access a dedicated web portal. They input their character's characteristics and goals. For example, they can input "friendly" or "reliable" as characteristics, and "home security" as a goal. They also input specific requests (e.g., robotic pet appearance, gentle voice). The input information is sent to the server via a web form.

[0820] Input: User's character traits, goals, and specific requests

[0821] Output: Send data to the server

[0822] Step 2:

[0823] Server stores data and assigns tasks

[0824] The server receives the input information sent by the user and stores it in a database. Then, based on that information, it assigns character profile design tasks to experts. Experts are notified via a dedicated task management system.

[0825] Input: User input information

[0826] Output: Save to database, assign tasks to experts

[0827] Step 3:

[0828] Expert character profile generation

[0829] The expert uses specialized software to generate a character profile based on the assigned task, including details such as appearance, voice quality, and personality, and then sends the profile to a server.

[0830] Input: User input information, expert design techniques

[0831] Output: Generated character profile

[0832] Step 4:

[0833] Server submits profile and collects feedback

[0834] The server sends the generated character profile to the user, who reviews the profile and provides feedback. The server receives this feedback and prompts redesign if necessary.

[0835] Input: Generated character profile, user feedback

[0836] Output: Send profile to user, collect feedback

[0837] Step 5:

[0838] Installation on security systems

[0839] The final character profile approved by the user is installed on the security system (smart camera or security robot). The server manages the profile distribution and installation process.

[0840] Input: Final character profile

[0841] Output: Installed on security system

[0842] Step 6:

[0843] Real-time monitoring and notification with generative AI

[0844] Devices (e.g., security cameras and robots) monitor the home using the installed characters, and if an intrusion is detected, the generated AI notifies the user in real time through the character profile.

[0845] Input: Character profile, real-time monitoring data

[0846] Output: User notification, anomaly report

[0847] 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.

[0848] This invention relates to a system in which users input their characteristics and goals into a generating AI, and experts use that information to generate and provide a character profile. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing the generating AI to respond adaptively according to the user's emotions, thereby achieving more personalized dialogue. This emotion engine analyzes the user's emotions in real time and adaptively changes the generating AI's responses and dialogue content.

[0849] Generative AI character and image creation service

[0850] 1. User:

[0851] Users can apply for the character creation service by accessing a dedicated web portal and filling out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0852] 2. Server:

[0853] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[0854] 3. Terminal (Designer / Storyteller):

[0855] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[0856] 4. Server:

[0857] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[0858] Incorporating an emotion engine

[0859] 1. Emotion Engine:

[0860] The emotion engine analyzes the user's voice and facial expressions in real time to recognize their emotions, and this emotion data is sent to the server.

[0861] 2. Server:

[0862] The server analyzes the user's emotional data received from the emotion engine and adaptively adjusts the AI's response. For example, if the user is feeling stressed, the AI ​​will be configured to offer comforting words.

[0863] 3. Devices (wearable devices, metaverse, robots):

[0864] The generative AI will then adapt to the user's emotions and provide them with personalized interactions on the device. For example, if the user is having fun in the metaverse, the generative AI can suggest more enjoyable activities.

[0865] Wearable device implementation service

[0866] 1. User:

[0867] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[0868] 2. Server:

[0869] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[0870] 3. Terminal (wearable device):

[0871] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's response accordingly.

[0872] Providing a metaverse space for interaction between users and generative AI

[0873] 1. Server:

[0874] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[0875] 2. User:

[0876] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[0877] 3. Device (user PC / VR device):

[0878] The user's device renders the graphics of the metaverse space in real time and provides a dialogue interface with the generative AI. An emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[0879] Development of real robot services

[0880] 1. Server:

[0881] The server prepares firmware to install the character profile with the generated AI into the real robot.

[0882] 2. Terminal (Robot):

[0883] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[0884] 3. User:

[0885] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[0886] In this way, the present invention not only provides a system for characterizing generative AI and actually utilizing it, but also provides a system that incorporates an emotion engine and realizes adaptive dialogue and reactions according to the user's emotions.

[0887] The processing flow will be explained below.

[0888] Generative AI character and image creation service

[0889] Step 1:

[0890] Users log in to a dedicated web portal and apply for the character creation service. They fill out a form detailing the character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[0891] Step 2:

[0892] The server receives the user's input and stores it in a database.

[0893] Step 3:

[0894] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[0895] Step 4:

[0896] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[0897] Step 5:

[0898] The device (designer / storyteller) sends the generated character profile to the server.

[0899] Step 6:

[0900] The server verifies the generated character profile and sends it to the user.

[0901] Step 7:

[0902] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[0903] Step 8:

[0904] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[0905] Incorporating an emotion engine

[0906] Step 1:

[0907] The user puts on the dedicated wearable device and begins setting up the emotion engine. The user performs the initial setup to incorporate their own voice and facial expression data into the emotion engine.

[0908] Step 2:

[0909] The terminal (wearable device) sends the user's voice and facial expression data to an emotion engine, which analyzes their emotions.

[0910] Step 3:

[0911] The emotion engine analyzes the user's emotions in real time and sends the data to the server.

[0912] Step 4:

[0913] The server analyzes the data received from the emotion engine and adaptively adjusts the generative AI's response. For example, if the user is feeling stressed, the generative AI is set to offer comforting words.

[0914] Step 5:

[0915] Generative AI engages in adaptive dialogue based on the user's emotions on wearable devices.

[0916] Wearable device implementation service

[0917] Step 1:

[0918] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[0919] Step 2:

[0920] The server sends the character profile through an API for the wearable device and manages the device installation process.

[0921] Step 3:

[0922] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[0923] Step 4:

[0924] The user completes the initial setup wizard and interacts with the generative AI on a daily basis. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's responses.

[0925] Providing a metaverse space for interaction between users and generative AI

[0926] Step 1:

[0927] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[0928] Step 2:

[0929] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[0930] Step 3:

[0931] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[0932] Step 4:

[0933] Users interact with generative AI in the metaverse space and collaborate. The emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[0934] Development of real robot services

[0935] Step 1:

[0936] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[0937] Step 2:

[0938] The terminal (robot) downloads and installs the specified firmware.

[0939] Step 3:

[0940] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[0941] Step 4:

[0942] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[0943] Step 5:

[0944] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[0945] Step 6:

[0946] The server receives feedback from users and updates the firmware as needed to improve the robot's performance, while the emotion engine analyzes the user's emotions and adjusts the robot's responses.

[0947] Example 2

[0948] 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."

[0949] Currently, character profile creation and user interaction using generative AI lack adaptive responses that take the user's emotions into account, making it difficult to provide an individually customized experience. Another issue is the complex process of applying generated characters to wearable devices or the metaverse, which requires a lot of effort from the user. Furthermore, systems that can collaborate with real robots to provide adaptive interaction are still underdeveloped.

[0950] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0951] In this invention, the server includes means for analyzing the user's voice and facial expressions to acquire emotional data, means for adaptively adjusting the reaction of the generation AI based on the emotional data, and means for the generation AI to engage in dialogue based on the user's emotions, thereby enabling personalized dialogue and adaptive reactions from the generation AI in accordance with the user's individual emotions.

[0952] "User" means an individual or legal entity that uses the system to create and interact with a character profile.

[0953] "Generative AI" is an artificial intelligence model that generates specific character profiles and engages in dialogue based on user requests.

[0954] A "character profile" is data that describes in detail a character's appearance, personality, voice quality, and other characteristics.

[0955] "Specialized software" refers to specific applications used by designers and storytellers to generate character profiles.

[0956] A "database" is a storage device or system for storing user input information and generated character profiles.

[0957] An "emotion engine" is a device or program that analyzes the user's voice and facial expressions to obtain emotion data.

[0958] A "metaverse space" is a virtual space where users and generated AI can interact and collaborate using virtual reality and augmented reality.

[0959] A "wearable device" is an electronic device that can be worn by the user and allows them to interface with generative AI in their daily lives.

[0960] "Firmware" is a software program that installs the character profile of a generated AI into a real robot.

[0961] "Real-time analysis" is a data processing technology that processes data instantly and reflects the results immediately.

[0962] This invention relates to a system that uses generative AI to allow users to generate character profiles and then apply them to wearable devices, the metaverse, and real robots. In particular, it is characterized by its ability to analyze the user's emotions in real time and to engage in adaptive dialogue according to their emotions.

[0963] Characterization and image creation services

[0964] 1. User inputs information

[0965] Users access a web portal and input their character's characteristics and intended use. Specifically, users open a web browser, access the portal, fill out a form, and submit it, detailing the desired character's appearance, voice quality, personality, etc.

[0966] 2. Receipt and storage of information by the server

[0967] The server receives the information entered by the user and stores it in a database. This is done with a Python and Flask backend. The input data is stored in a MySQL database.

[0968] 3. Automatic task assignment by the server

[0969] The server automatically assigns tasks to designers and storytellers based on the saved information, and notifies them via API using a task management tool.

[0970] 4. Character design generation on the device

[0971] Designers and storytellers use specialized software to generate character profiles, for example, Adobe Photoshop to design the character's appearance and story creation software to create the character profile.

[0972] 5. Send and verify the profile to the server

[0973] Once the design is complete, the device sends the profile to the server, which then verifies it and sends it to the user. This is done using a mail sending system (such as SendGrid) via a REST API.

[0974] 6. Feedback and Redesign

[0975] If feedback is received from the user and redesign is necessary, the server reassigns the task. Feedback is accepted via email reply, etc., and the profile is revised.

[0976] Incorporating an emotion engine

[0977] The emotion engine analyzes the user's voice and facial expressions in real time and adjusts the generative AI's responses. The user's voice data is analyzed using the Google Cloud Speech-to-Text API, and facial expression data is analyzed using the Facial Recognition API. The analysis results are sent to the server via WebSocket. The server analyzes the data using a Python real-time analysis library (e.g., Pandas) and adaptively adjusts the generative AI's responses.

[0978] Implementation in wearable devices

[0979] The generated character profile is installed on the wearable device. The user installs it using a dedicated app and engages in personalized interactions with the generated AI in their daily lives. The server manages the installation process using the wearable device API.

[0980] Providing Metaverse spatial exchange

[0981] The server manages the metaverse platform and integrates the profiles of users and generative AI. Interactions and collaboration take place within the metaverse. Users access the metaverse, which is built using Unity or Unreal Engine, and the generative AI provides personalized interactions.

[0982] Development of real robot services

[0983] The server prepares firmware to install the generated AI character profile on the real robot. The robot downloads the specified firmware, confirms that it is working properly, and then executes the task. Feedback is received from the user, and updates are made as necessary.

[0984] Examples of concrete examples and prompts

[0985] If a user requests an "educational character to play with their children at home":

[0986] Users enter their requirements into a web portal, such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny."

[0987] Example prompt: "Create an educational character to play with children. He should have a kind face and a high-pitched, sweet voice. His personality should be educational and fun."

[0988] As a result, the present invention enables personalized dialogue based on the user's emotions and adaptive responses from generative AI, enhancing its practicality across a variety of devices and environments.

[0989] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0990] Program processing flow

[0991] Step 1:

[0992] User input of information

[0993] Users access a dedicated web portal and enter their character's characteristics and intended use.

[0994] Specific actions: The user opens a web browser, accesses the portal, enters information such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny" into a form, and clicks the submit button.

[0995] Input: Character traits, purpose of use, specific requests

[0996] Output: User request data sent

[0997] Step 2:

[0998] Receiving and storing information on the server

[0999] The server receives the information entered by the user and stores it in a database.

[1000] What it does: The server receives information with a backend using Python and Flask and records it in a MySQL database.

[1001] Input: User request data submitted

[1002] Output: User request data stored in a database

[1003] Step 3:

[1004] Automatic task assignment by the server

[1005] The server automatically assigns tasks to designers and storytellers based on the stored information.

[1006] What it does: The server script adds a task to a task management tool (e.g., Trello) via API and notifies the designer and storyteller.

[1007] Input: User request data stored in the database

[1008] Output: Task notifications for designers and storytellers

[1009] Step 4:

[1010] Device-based character design generation

[1011] Designers and storytellers use specialized software to generate character profiles.

[1012] What it does: The designer opens Adobe Photoshop to design the character's appearance, and the storyteller uses story writing software (e.g., Scrivener) to create a character profile.

[1013] Input: Task notification, user request data

[1014] Output: Generated character profile

[1015] Step 5:

[1016] Sending and checking character designs to the server

[1017] The generated character profile is sent to the server, which then verifies it and sends it to the user.

[1018] Specific operation: The completed design file is uploaded to the server, which receives it and sends it to the user. For sending, a REST API is used, and an email sending system (e.g., SendGrid) is used.

[1019] Input: Generated character profile

[1020] Output: Sends the character profile to the user

[1021] Step 6:

[1022] Receive feedback and redesign

[1023] Feedback is received from the user and the server reassigns the task if any corrections are required.

[1024] What happens: The user sends feedback via email reply, etc. The server analyzes the feedback and adds the task back to Trello.

[1025] Input: User feedback

[1026] Output: New task notifications based on redesign

[1027] Step 7:

[1028] Emotional data analysis using an emotion engine

[1029] The emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional data.

[1030] How it works: The emotion engine collects data from the user's webcam and microphone, and analyzes voice data using the Google Cloud Speech-to-Text API and facial expression data using the Facial Recognition API.

[1031] Input: User's voice data, facial expression data

[1032] Output: Obtained emotion data

[1033] Step 8:

[1034] Receiving and analyzing emotion data by the server

[1035] Emotional data is sent to a server in real time, which then adjusts the response of the generated AI.

[1036] How it works: The emotion engine client sends emotion data to the server using WebSocket, and the server uses a real-time analytics library (e.g., Pandas) to analyze the data and adjust the generative AI.

[1037] Input: Captured emotion data

[1038] Output: Adaptive response of the generative AI

[1039] Step 9:

[1040] Emotion-based interaction on devices

[1041] The generative AI engages in adaptive dialogue based on the user's emotions on the device.

[1042] Specific operation: The generative AI sends conversational messages to the user through the device's chat application (e.g., Slack) and responds adaptively according to the user's emotions.

[1043] Input: Adaptive response of generative AI

[1044] Output: A personalized conversational message to the user

[1045] Step 10:

[1046] Installing a character profile on a wearable device

[1047] The generated character profile is installed on the wearable device.

[1048] Specific operation: The user opens the dedicated app and downloads and installs the provided character profile. The server manages the process using the wearable device API.

[1049] Input: Character Profile

[1050] Output: Character profile installed on the wearable device

[1051] Step 11:

[1052] Interacting and collaborating in the metaverse

[1053] The user and the generated AI interact and collaborate in the metaverse space.

[1054] Specific operation: The user puts on the VR set and logs into the Metaverse space. The generative AI provides adaptive dialogue, allowing collaboration to proceed.

[1055] Input: User behavior information, generating AI profile

[1056] Output: Interacting and collaborating in the metaverse space

[1057] Step 12:

[1058] Installing a character profile on a real robot

[1059] The server prepares firmware to install the generated AI's character profile into a real robot, and the robot confirms that it is operating normally.

[1060] Specific operation: The robot downloads the firmware from the specified URL and installs it. After installation, it performs a functional test to confirm normal operation.

[1061] Input: Character profile, firmware

[1062] Output: A real robot that can function normally

[1063] This allows users to use character profiles generated by generative AI on a variety of devices and environments, such as wearable devices, the metaverse, and real robots, and enjoy a personalized experience tailored to their individual emotions.

[1064] (Application example 2)

[1065] 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."

[1066] Conventional character profile generation systems lack dialogue and responses that take user emotions into account, making it difficult to provide personalized customer service and improve customer experience. There is also a lack of effective means to improve the quality of customer service in physical stores. To solve these problems, a system is needed that can analyze user and customer emotions in real time and instantly provide adaptive dialogue and responses based on that analysis.

[1067] 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.

[1068] In this invention, the server includes: a means for inputting the characteristics and goals of a character to be created by a user; a database means for storing the user's input information; a means for assigning the character design to an expert; a means for sending the character profile created by the expert to the user; a means for accepting user feedback and promoting redesign; an emotion analysis means for analyzing customer emotions; a means for generating adaptive dialogue in response to the customer's emotions; and a means for displaying the adaptive dialogue on a wearable device. This enables personalized dialogue and customer service in response to the emotions of the user or customer. This system can significantly improve the quality of customer service in physical stores and increase customer satisfaction.

[1069] "User" means any individual or legal entity that uses the System.

[1070] A "character" is a virtual being that has the profile and characteristics of a person or object that a user wishes to create.

[1071] "Characteristics" refers to individual characteristics of a character, such as appearance, voice quality, and personality.

[1072] "Purpose" indicates the reason why the user creates the character and how it will be used.

[1073] An "input means" is a device or mechanism that allows a user to provide data or information to a system.

[1074] "Database means" refers to a system or device for recording and storing user input information.

[1075] An "expert" is an individual or group with specialized skills in designing or generating character profiles.

[1076] The "allocation method" is a mechanism for assigning the task to the appropriate expert based on the user's input information.

[1077] "Transmission means" refers to the method or mechanism for delivering the character profile generated by the expert to the user.

[1078] "Feedback" refers to evaluations and improvement requests provided by users.

[1079] "Means to facilitate redesign" are methods for rebuilding character profiles based on user feedback.

[1080] "Emotion analysis means" refers to technology or equipment for recognizing and analyzing the emotions of users or customers in real time.

[1081] "Means for generating adaptive dialogue" refers to technology or devices for creating appropriate dialogue and responses based on analyzed emotional data.

[1082] A "wearable device" is an electronic device that can be worn by a user in daily life, such as smart glasses or a smart watch.

[1083] A "system" is an integrated device or mechanism in which multiple means or devices work together to achieve a specific function.

[1084] This system allows users to input the characteristics and goals of the character they wish to create, and experts then generate and provide a character profile based on that information.The system incorporates emotion analysis means, enabling adaptive dialogue based on the user's emotions.

[1085] System Configuration

[1086] Hardware Configuration

[1087] The system includes the following hardware configuration:

[1088] Server: The central control unit where the database, sentiment analysis methods, and generative AI run.

[1089] Dedicated Terminal: A computer terminal used by designers and storytellers to generate character profiles.

[1090] Wearable devices: Smart glasses, smart watches, etc. worn by the user.

[1091] Software Configuration

[1092] The system includes the following software components:

[1093] Database management system: Software for storing and managing user-entered information.

[1094] Emotion analysis library (DeepFace, etc.): A library for analyzing emotions from user facial images in real time.

[1095] Character generation AI (GPT-3, etc.): Artificial intelligence that generates a character profile based on the user's characteristics and goals.

[1096] Example

[1097] 1. User data entry

[1098] Users access a dedicated web portal and input their character's characteristics and goals -- for example, they can enter a request such as "I want a character with a friendly appearance and personality." This information is sent to a server and stored in a database.

[1099] 2. Create and submit your character profile

[1100] The server assigns tasks based on the information entered by the user to the dedicated devices of the designers and storytellers. The experts use dedicated software to generate character profiles and send the results back to the server. The server then checks the generated profiles and sends them to the users. If necessary, it receives feedback from users and promotes redesign.

[1101] 3. Emotion Analysis and Adaptive Dialogue

[1102] When a user wears smart glasses and interacts with customers in a physical store, the emotion analysis library analyzes the customer's emotions in real time. Based on the analysis results, the server uses generative AI to generate adaptive dialogue and displays it on the smart glasses. For example, if the customer is smiling, a message such as "Hello, what a wonderful day today!" will be displayed.

[1103] Example prompt

[1104] Below is an example of a prompt you can use to generate a character profile:

[1105] Generate your character profile:

[1106] Username: User A

[1107] Age: 30

[1108] Intended use: Product description

[1109] Desired appearance: Friendly appearance

[1110] Desired personality: Friendly and easy-going

[1111] Profile Contents:

[1112] {

[1113] "friendly_greeting": "Hello, what a great day today!",

[1114] "comforting_message": "You seem a little tired. Please take your time choosing.",

[1115] "neutral_greeting": "Welcome! What product are you looking for?"

[1116] }

[1117] This enables the system to provide personalized dialogue according to the user's or customer's emotions, improving customer satisfaction.

[1118] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1119] Step 1:

[1120] Users access a dedicated web portal and input their character's traits and goals.

[1121] What it does: A user fills out a form on a web portal, stating their preference, such as "I want a character with a friendly appearance and personality."

[1122] Input: User's desired character traits and goals

[1123] Output: JSON data containing the input information

[1124] Step 2:

[1125] The server stores the user's input information in a database.

[1126] Specific operation: The server stores the received JSON data in the database.

[1127] Input: JSON data containing user input information

[1128] Output: User information stored in the database

[1129] Step 3:

[1130] The server assigns tasks to designers and storytellers.

[1131] Specific operation: The server retrieves user information from the database and sends a task notification to the dedicated terminal.

[1132] Input: User information stored in a database

[1133] Output: Task notifications sent to the designer and storyteller's dedicated devices

[1134] Step 4:

[1135] Designers and storytellers use specialized software to generate character profiles.

[1136] What it does: Designers and storytellers use specialized software (e.g., Adobe Creative Suite) to create character designs and scenarios.

[1137] Input: Task notification and user preferences

[1138] Output: Generated character profile

[1139] Step 5:

[1140] The server sends the generated character profile to the user.

[1141] Specific operation: The server reviews the generated character profile and asks for feedback via the user's email or web portal.

[1142] Input: Generated character profile

[1143] Output: Notification to user asking for feedback

[1144] Step 6:

[1145] Users provide feedback and request redesigns if necessary.

[1146] Specific operations: The user reviews the received profile and submits any corrections or additions they would like to make through the web portal.

[1147] Input: User feedback

[1148] Output: Feedback information is saved on the server

[1149] Step 7:

[1150] The server sends the feedback information back to the designer and storyteller to facilitate redesign.

[1151] What it does: The server analyzes the feedback information and reassigns the necessary correction tasks to the designers and storytellers.

[1152] Input: Saved feedback information

[1153] Output: Reassigned task notification

[1154] Step 8:

[1155] The designer and storyteller redesign the character and submit the revised character profile to the server.

[1156] What happens: The designer and storyteller will reflect the changes and regenerate the character profile.

[1157] Input: Reassignment task notification and feedback information

[1158] Output: Modified character profile

[1159] Step 9:

[1160] The server uses emotion analysis means to analyze the emotions of the customer.

[1161] Specific operation: Facial expression images acquired by smart glasses are analyzed using an emotion analysis library (e.g., DeepFace).

[1162] Input: Customer facial expression image

[1163] Output: Parsed emotion data

[1164] Step 10:

[1165] Based on the analysis results, the server uses generative AI to generate adaptive dialogue.

[1166] Specific operation: The server uses generative AI (e.g., GPT-3) to create an appropriate message based on the emotion data.

[1167] Input: Parsed emotion data

[1168] Output: Adaptive dialogue message

[1169] Step 11:

[1170] The server sends adaptive interaction messages to the wearable device for display.

[1171] Specific operation: The server sends the generated interaction message to the smart glasses and displays the message on the display.

[1172] Input: Adaptive dialogue message

[1173] Output: Message displayed on smart glasses

[1174] 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.

[1175] 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.

[1176] 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.

[1177] [Third embodiment]

[1178] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1179] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1180] 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).

[1181] 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.

[1182] 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.

[1183] 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).

[1184] 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.

[1185] 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.

[1186] 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.

[1187] 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.

[1188] 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.

[1189] 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."

[1190] This invention relates to a system in which users input characteristics and goals into a generative AI, and experts generate and provide character profiles based on that information. This system further enables the generative AI to interact with users in a variety of ways by installing the generated character profiles in wearable devices, metaverse spaces, and robots.

[1191] Generative AI character and image creation service

[1192] 1. User:

[1193] Users can apply for the character creation service by accessing a dedicated web portal, where they fill out a form describing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[1194] 2. Server:

[1195] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[1196] 3. Terminal (Designer / Storyteller):

[1197] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[1198] 4. Server:

[1199] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[1200] Wearable device implementation service

[1201] 1. User:

[1202] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[1203] 2. Server:

[1204] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[1205] 3. Terminal (wearable device):

[1206] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life.

[1207] Providing a metaverse space for interaction between users and generative AI

[1208] 1. Server:

[1209] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[1210] 2. User:

[1211] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[1212] 3. Device (user PC / VR device):

[1213] The user's device renders graphics of the metaverse space in real time and provides an interactive interface with the generative AI.

[1214] Development of real robot services

[1215] 1. Server:

[1216] The server prepares firmware to install the character profile with the generated AI into the real robot.

[1217] 2. Terminal (Robot):

[1218] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[1219] 3. User:

[1220] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[1221] In this way, the present invention provides a system for characterizing generated AI and actually utilizing it, and provides an environment in which users can interact with generated AI in a friendly manner in a variety of ways.

[1222] The processing flow will be explained below.

[1223] Generative AI character and image creation service

[1224] Step 1:

[1225] Users log in to a dedicated web portal, apply for the characterization service, and fill out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[1226] Step 2:

[1227] The server receives the user's input and stores it in a database.

[1228] Step 3:

[1229] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[1230] Step 4:

[1231] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[1232] Step 5:

[1233] The device (designer / storyteller) sends the generated character profile to the server.

[1234] Step 6:

[1235] The server verifies the generated character profile and sends it to the user.

[1236] Step 7:

[1237] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[1238] Step 8:

[1239] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[1240] Wearable device implementation service

[1241] Step 1:

[1242] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[1243] Step 2:

[1244] The server sends the character profile through an API for the wearable device and manages the device installation process.

[1245] Step 3:

[1246] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[1247] Step 4:

[1248] The user completes the initial setup wizard and performs daily interactions with the generative AI.

[1249] Providing a metaverse space for interaction between users and generative AI

[1250] Step 1:

[1251] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[1252] Step 2:

[1253] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[1254] Step 3:

[1255] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[1256] Step 4:

[1257] Users interact and collaborate with generative AI within the metaverse space.

[1258] Step 5:

[1259] The server manages the data streams between the user and the generated AI and stores a log of interactions.

[1260] Development of real robot services

[1261] Step 1:

[1262] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[1263] Step 2:

[1264] The terminal (robot) downloads and installs the specified firmware.

[1265] Step 3:

[1266] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[1267] Step 4:

[1268] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[1269] Step 5:

[1270] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[1271] Step 6:

[1272] The server receives feedback from users and updates the firmware as needed to improve the robot's performance.

[1273] Example 1

[1274] 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."

[1275] Previous character profile generation systems faced challenges in accurately reflecting the user's desired character characteristics and goals. Furthermore, they lacked an interface for utilizing the generated character profile across a variety of devices, limiting user interaction. Furthermore, real-time interaction and collaboration between the user and the generating AI in the virtual space often did not proceed smoothly, which compromised the user experience.

[1276] 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.

[1277] In this invention, the server includes means for a user to input the characteristics and goals of a character to be generated, storage means for storing the user's input information, means for assigning the character design to an expert, means for sending the character profile generated by the expert to the user, means for accepting user feedback and promoting redesign, means for generating a character profile using a generative AI model, and means for activating the generative AI model based on a prompt sentence input by the user. This makes it possible to generate a character profile with characteristics and goals specified in detail by the user and to effectively implement the profile in a variety of devices and virtual spaces.

[1278] A "user" is an entity that uses the system to input a character's characteristics and goals and then uses the generative AI model based on them.

[1279] "Character characteristics and purpose" refers to the specific appearance, personality, and use of the character that a user creates through a generative AI model.

[1280] "Means of input" refers to the interface or operating means by which a user inputs the character's characteristics and goals into the system.

[1281] "Storage means" refers to a storage device for storing information entered by a user and generated character profiles.

[1282] "Assignment means" refers to the mechanism that automatically assigns design tasks to experts based on the character information entered by the user.

[1283] "Expert" refers to a professional with specific skills and knowledge to create character designs and profiles.

[1284] "Means of transmission" refers to the means of communication used to deliver the character profile generated by the expert to the user.

[1285] "Generative AI model" refers to an artificial intelligence model that generates a character profile based on user input information.

[1286] A "prompt" is an instruction that the user inputs to the generating AI, clearly stating the character's characteristics and objectives.

[1287] "Mobile device" refers to a portable electronic device such as a smartwatch or smart glasses.

[1288] "Virtual space" refers to a digital environment in which users and generative AI can interact and collaborate.

[1289] "Data stream" refers to the real-time flow of data and transmission of information within a virtual space.

[1290] This invention is a system in which users specify the characteristics and goals of a character using a generative AI model, and a character profile is generated and provided by experts. This system also has the function of implementing the generated character profile on a mobile device or in a virtual space, enabling interaction with the user.

[1291] First, users access a dedicated web portal and input their desired character's characteristics and purpose, such as a prompt such as "a brave knight with a polite personality and a deep male voice." To do so, users use their browser to enter their details into a form provided after logging in.

[1292] The server then receives the user-entered information and stores it in a database, using the Django framework to process the form data and storing it in AWS RDS. This information is then assigned to an expert before being processed using a generative AI model.

[1293] Expert designers and storytellers receive task notifications on their devices. Designers use Adobe Creative Cloud, and storytellers use Google Docs to create character profiles. Once created, they upload them to the server, which stores the uploaded files in AWS S3 and notifies the user.

[1294] Once notified, users can review the character profile and provide feedback if necessary. If a redesign is required, the server will resubmit the feedback to the experts, facilitating the revision process. This process is streamlined using Slack API integration.

[1295] The final character profile is installed on the user's mobile device. The server uses AWS Lambda to send the downloaded character profile to the device via an API. A dedicated app on the device then launches, loads the character profile, and operates.

[1296] The system also provides the ability for users and the generated AI to interact and collaborate in a virtual space. The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users can access the virtual space using their own PC or VR device and interact with the generated AI characters there. Specifically, a PC equipped with an NVIDIA GPU renders the virtual space created in Unity in real time and displays it on Oculus Rift.

[1297] Thus, the present invention aims to provide a system for characterizing generative AI and actually utilizing it, and to provide an environment in which users can interact with generative AI in a friendly manner in a variety of ways.

[1298] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1299] Step 1:

[1300] User input

[1301] Input: The user accesses a dedicated web portal and enters the desired character traits and goals, such as a prompt such as "a brave knight with a polite personality and a deep male voice."

[1302] What happens: The user fires up a browser, enters a URL, logs into a dedicated web portal, and then fills in a form with their specific preferences.

[1303] Output: The entered information is generated as form data.

[1304] Step 2:

[1305] Receiving and storing information on the server

[1306] Input: The form data entered by the user in step 1.

[1307] Processing: The server receives the form data using the Django framework and stores it in AWS RDS. It validates the data format before saving it to the database.

[1308] Output: User input information stored in a database.

[1309] Step 3:

[1310] Automatic task assignment

[1311] Input: User input information stored in the database.

[1312] Processing: The server automatically assigns tasks to designers and storytellers using a task management system (e.g., Slack API integration) based on the stored data. Notifications are sent to the responsible parties during this process.

[1313] Output: Designers and Storytellers receive task notifications.

[1314] Step 4:

[1315] Character design generation by designers and storytellers

[1316] Input: Designers and Storytellers who receive task notifications.

[1317] Process: The designer creates character designs using Adobe Creative Cloud. The storyteller creates character storylines using Google Docs. Both parties upload the completed files to the server.

[1318] Output: The completed character profile is uploaded to the server.

[1319] Step 5:

[1320] Profile verification and transmission by the server

[1321] Input: Uploaded character profile.

[1322] Processing: The server saves the uploaded file to AWS S3, sends a notification email to the user, and verifies the integrity of the saved file.

[1323] Output: A notification email to the user and a saved character profile.

[1324] Step 6:

[1325] User feedback and fixes

[1326] Input: The character profile sent to the user.

[1327] Action: The user clicks the link in the email to access the confirmation page and enters their feedback, which the server then sends back to the experts to facilitate the correction.

[1328] Output: Designers and storytellers who received the revision request, along with the revised character profile.

[1329] Step 7:

[1330] Installing the final character profile on your device

[1331] Input: Final character profile.

[1332] Processing: Users download and install their character profiles using a dedicated mobile device app. The server uses AWS Lambda to send the profiles to the devices and track and manage the installation progress.

[1333] Output: Character profile installed on the handheld device.

[1334] Step 8:

[1335] Virtual space dialogue and collaboration

[1336] Input: Final character profile and user's PC / VR device.

[1337] Processing: The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users log in to the virtual space using a PC or VR device and interact with the characters.

[1338] Output: Real-time interaction and collaboration in virtual space.

[1339] Step 9:

[1340] Data stream management and storage

[1341] Input: Real-time interaction data in virtual space.

[1342] Processing: The server manages and, if necessary, stores the data streams generated within the virtual world. This processing includes checking the integrity of the data in real time and storing it for later analysis.

[1343] Output: The saved data stream.

[1344] In this way, each processing step is configured to perform data processing and calculations based on specific input data, and then pass the output to the next step.

[1345] (Application example 1)

[1346] 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."

[1347] Conventional home security systems have limited user interaction, lacking a sense of security and ease of operation. Furthermore, many systems have mechanical intrusion detection and notification mechanisms, making them unfriendly to users. This has led to problems that make it difficult for users to actively use security systems.

[1348] 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.

[1349] In this invention, the server includes means for a user to input the characteristics and purpose of a character to be generated, database means for storing the user's input information, means for assigning the character design to an expert, means for the expert to send the generated character profile to the user, means for accepting user feedback and promoting redesign, means for incorporating the character profile into the security system, and means for the generating AI to detect unauthorized intrusion and notify the user. This allows users to enjoy an interactive security experience using characters that meet their individual needs.

[1350] A "user" is an individual or corporation that uses the system to input the characteristics and goals of a character and enjoys services using the generation AI.

[1351] "Character characteristics" refers to the specific characteristics, appearance, personality, voice quality, and other attribute information of the character desired by the user.

[1352] "Purpose" refers to the specific use or purpose for which the user will use the character, such as home security or conversation.

[1353] "Database means" means a system for temporarily or permanently storing and saving information entered by users.

[1354] An "expert" is someone who specializes in character design and profile creation.

[1355] A "character profile" is a profile that contains detailed attribute information of a character created by an expert.

[1356] A "security system" is a system of technical devices and software that ensures safety within a home or business.

[1357] "Generative AI" is an artificial intelligence technology that generates a character profile based on input data and allows that character to interact with the user.

[1358] "Means of notification" refers to a method or system for notifying users when an abnormality such as unauthorized intrusion is detected.

[1359] The present invention is a system that incorporates characterization using generative AI into a home security system, providing an environment where users can interact with the system more interactively. Specific embodiments of the system are described below.

[1360] System Configuration

[1361] This system consists of the following elements: users, servers, and terminals (e.g., security cameras and security robots). The main hardware and software components are as follows:

[1362] Hardware: Servers (e.g., Amazon EC2), home security cameras, security robots

[1363] Software: Python, FAST API (backend for AI profile generation), smart home management system

[1364] Program Generation

[1365] 1. User input:

[1366] Users access a dedicated web portal and input their character's characteristics and goals by filling out a form with details such as appearance, voice quality, personality, and intended use.

[1367] Example prompt sentence:

[1368] Characteristic: Friendly

[1369] Purpose: Home security

[1370] Request: A robotic pet with a gentle voice and a dependable personality

[1371] 2. Data transmission and storage:

[1372] The server receives input from the user.

[1373] Store it in a database and assign tasks to experts.

[1374] 3. Generate a character profile:

[1375] The assigned expert will use specialized software to generate a character profile.

[1376] The generated profile is sent to the server and provided to the user.

[1377] 4. Installation on security systems:

[1378] The final character profile approved by the user is installed on a home security system (e.g., a smart camera or security robot).

[1379] The server manages the profile distribution and installation process.

[1380] Detailed processing instructions

[1381] User input

[1382] Access the web portal.

[1383] Enter the characteristics and purpose in the form.

[1384] Processing on the server

[1385] Save the received data in the database.

[1386] Assign tasks to experts.

[1387] The generated character profile is sent to the user.

[1388] Gather user feedback and drive redesign where necessary.

[1389] Device interactions and notifications

[1390] The installed character works with the home security system.

[1391] If the AI ​​detects an intrusion, it will notify the user through a character profile.

[1392] This makes the security system more familiar to users, providing high operability and a sense of security. Characters using generated AI notify users in real time when an unauthorized intrusion is detected, enabling them to take appropriate measures immediately.

[1393] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1394] Step 1:

[1395] User-entered character profile

[1396] Users access a dedicated web portal. They input their character's characteristics and goals. For example, they can input "friendly" or "reliable" as characteristics, and "home security" as a goal. They also input specific requests (e.g., robotic pet appearance, gentle voice). The input information is sent to the server via a web form.

[1397] Input: User's character traits, goals, and specific requests

[1398] Output: Send data to the server

[1399] Step 2:

[1400] Server stores data and assigns tasks

[1401] The server receives the input information sent by the user and stores it in a database. Then, based on that information, it assigns character profile design tasks to experts. Experts are notified via a dedicated task management system.

[1402] Input: User input information

[1403] Output: Save to database, assign tasks to experts

[1404] Step 3:

[1405] Expert character profile generation

[1406] The expert uses specialized software to generate a character profile based on the assigned task, including details such as appearance, voice quality, and personality, and then sends the profile to a server.

[1407] Input: User input information, expert design techniques

[1408] Output: Generated character profile

[1409] Step 4:

[1410] Server submits profile and collects feedback

[1411] The server sends the generated character profile to the user, who reviews the profile and provides feedback. The server receives this feedback and prompts redesign if necessary.

[1412] Input: Generated character profile, user feedback

[1413] Output: Send profile to user, collect feedback

[1414] Step 5:

[1415] Installation on security systems

[1416] The final character profile approved by the user is installed on the security system (smart camera or security robot). The server manages the profile distribution and installation process.

[1417] Input: Final character profile

[1418] Output: Installed on security system

[1419] Step 6:

[1420] Real-time monitoring and notification with generative AI

[1421] Devices (e.g., security cameras and robots) monitor the home using the installed characters, and if an intrusion is detected, the generated AI notifies the user in real time through the character profile.

[1422] Input: Character profile, real-time monitoring data

[1423] Output: User notification, anomaly report

[1424] 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.

[1425] This invention relates to a system in which users input their characteristics and goals into a generating AI, and experts use that information to generate and provide a character profile. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing the generating AI to respond adaptively according to the user's emotions, thereby achieving more personalized dialogue. This emotion engine analyzes the user's emotions in real time and adaptively changes the generating AI's responses and dialogue content.

[1426] Generative AI character and image creation service

[1427] 1. User:

[1428] Users can apply for the character creation service by accessing a dedicated web portal and filling out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[1429] 2. Server:

[1430] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[1431] 3. Terminal (Designer / Storyteller):

[1432] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[1433] 4. Server:

[1434] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[1435] Incorporating an emotion engine

[1436] 1. Emotion Engine:

[1437] The emotion engine analyzes the user's voice and facial expressions in real time to recognize their emotions, and this emotion data is sent to the server.

[1438] 2. Server:

[1439] The server analyzes the user's emotional data received from the emotion engine and adaptively adjusts the AI's response. For example, if the user is feeling stressed, the AI ​​will be configured to offer comforting words.

[1440] 3. Devices (wearable devices, metaverse, robots):

[1441] The generative AI will then adapt to the user's emotions and provide them with personalized interactions on the device. For example, if the user is having fun in the metaverse, the generative AI can suggest more enjoyable activities.

[1442] Wearable device implementation service

[1443] 1. User:

[1444] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[1445] 2. Server:

[1446] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[1447] 3. Terminal (wearable device):

[1448] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's response accordingly.

[1449] Providing a metaverse space for interaction between users and generative AI

[1450] 1. Server:

[1451] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[1452] 2. User:

[1453] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[1454] 3. Device (user PC / VR device):

[1455] The user's device renders the graphics of the metaverse space in real time and provides a dialogue interface with the generative AI. An emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[1456] Development of real robot services

[1457] 1. Server:

[1458] The server prepares firmware to install the character profile with the generated AI into the real robot.

[1459] 2. Terminal (Robot):

[1460] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[1461] 3. User:

[1462] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[1463] In this way, the present invention not only provides a system for characterizing generative AI and actually utilizing it, but also provides a system that incorporates an emotion engine and realizes adaptive dialogue and reactions according to the user's emotions.

[1464] The processing flow will be explained below.

[1465] Generative AI character and image creation service

[1466] Step 1:

[1467] Users log in to a dedicated web portal and apply for the character creation service. They fill out a form detailing the character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[1468] Step 2:

[1469] The server receives the user's input and stores it in a database.

[1470] Step 3:

[1471] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[1472] Step 4:

[1473] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[1474] Step 5:

[1475] The device (designer / storyteller) sends the generated character profile to the server.

[1476] Step 6:

[1477] The server verifies the generated character profile and sends it to the user.

[1478] Step 7:

[1479] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[1480] Step 8:

[1481] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[1482] Incorporating an emotion engine

[1483] Step 1:

[1484] The user puts on the dedicated wearable device and begins setting up the emotion engine. The user performs the initial setup to incorporate their own voice and facial expression data into the emotion engine.

[1485] Step 2:

[1486] The terminal (wearable device) sends the user's voice and facial expression data to an emotion engine, which analyzes their emotions.

[1487] Step 3:

[1488] The emotion engine analyzes the user's emotions in real time and sends the data to the server.

[1489] Step 4:

[1490] The server analyzes the data received from the emotion engine and adaptively adjusts the generative AI's response. For example, if the user is feeling stressed, the generative AI is set to offer comforting words.

[1491] Step 5:

[1492] Generative AI engages in adaptive dialogue based on the user's emotions on wearable devices.

[1493] Wearable device implementation service

[1494] Step 1:

[1495] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[1496] Step 2:

[1497] The server sends the character profile through an API for the wearable device and manages the device installation process.

[1498] Step 3:

[1499] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[1500] Step 4:

[1501] The user completes the initial setup wizard and interacts with the generative AI on a daily basis. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's responses.

[1502] Providing a metaverse space for interaction between users and generative AI

[1503] Step 1:

[1504] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[1505] Step 2:

[1506] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[1507] Step 3:

[1508] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[1509] Step 4:

[1510] Users interact with generative AI in the metaverse space and collaborate. The emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[1511] Development of real robot services

[1512] Step 1:

[1513] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[1514] Step 2:

[1515] The terminal (robot) downloads and installs the specified firmware.

[1516] Step 3:

[1517] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[1518] Step 4:

[1519] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[1520] Step 5:

[1521] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[1522] Step 6:

[1523] The server receives feedback from users and updates the firmware as needed to improve the robot's performance, while the emotion engine analyzes the user's emotions and adjusts the robot's responses.

[1524] Example 2

[1525] 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."

[1526] Currently, character profile creation and user interaction using generative AI lack adaptive responses that take the user's emotions into account, making it difficult to provide an individually customized experience. Another issue is the complex process of applying generated characters to wearable devices or the metaverse, which requires a lot of effort from the user. Furthermore, systems that can collaborate with real robots to provide adaptive interaction are still underdeveloped.

[1527] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1528] In this invention, the server includes means for analyzing the user's voice and facial expressions to acquire emotional data, means for adaptively adjusting the reaction of the generation AI based on the emotional data, and means for the generation AI to engage in dialogue based on the user's emotions, thereby enabling personalized dialogue and adaptive reactions from the generation AI in accordance with the user's individual emotions.

[1529] "User" means an individual or legal entity that uses the system to create and interact with a character profile.

[1530] "Generative AI" is an artificial intelligence model that generates specific character profiles and engages in dialogue based on user requests.

[1531] A "character profile" is data that describes in detail a character's appearance, personality, voice quality, and other characteristics.

[1532] "Specialized software" refers to specific applications used by designers and storytellers to generate character profiles.

[1533] A "database" is a storage device or system for storing user input information and generated character profiles.

[1534] An "emotion engine" is a device or program that analyzes the user's voice and facial expressions to obtain emotion data.

[1535] A "metaverse space" is a virtual space where users and generated AI can interact and collaborate using virtual reality and augmented reality.

[1536] A "wearable device" is an electronic device that can be worn by the user and allows them to interface with generative AI in their daily lives.

[1537] "Firmware" is a software program that installs the character profile of a generated AI into a real robot.

[1538] "Real-time analysis" is a data processing technology that processes data instantly and reflects the results immediately.

[1539] This invention relates to a system that uses generative AI to allow users to generate character profiles and then apply them to wearable devices, the metaverse, and real robots. In particular, it is characterized by its ability to analyze the user's emotions in real time and to engage in adaptive dialogue according to their emotions.

[1540] Characterization and image creation services

[1541] 1. User inputs information

[1542] Users access a web portal and input their character's characteristics and intended use. Specifically, users open a web browser, access the portal, fill out a form, and submit it, detailing the desired character's appearance, voice quality, personality, etc.

[1543] 2. Receipt and storage of information by the server

[1544] The server receives the information entered by the user and stores it in a database. This is done with a Python and Flask backend. The input data is stored in a MySQL database.

[1545] 3. Automatic task assignment by the server

[1546] The server automatically assigns tasks to designers and storytellers based on the saved information, and notifies them via API using a task management tool.

[1547] 4. Character design generation on the device

[1548] Designers and storytellers use specialized software to generate character profiles, for example, Adobe Photoshop to design the character's appearance and story creation software to create the character profile.

[1549] 5. Send and verify the profile to the server

[1550] Once the design is complete, the device sends the profile to the server, which then verifies it and sends it to the user. This is done using a mail sending system (such as SendGrid) via a REST API.

[1551] 6. Feedback and Redesign

[1552] If feedback is received from the user and redesign is necessary, the server reassigns the task. Feedback is accepted via email reply, etc., and the profile is revised.

[1553] Incorporating an emotion engine

[1554] The emotion engine analyzes the user's voice and facial expressions in real time and adjusts the generative AI's responses. The user's voice data is analyzed using the Google Cloud Speech-to-Text API, and facial expression data is analyzed using the Facial Recognition API. The analysis results are sent to the server via WebSocket. The server analyzes the data using a Python real-time analysis library (e.g., Pandas) and adaptively adjusts the generative AI's responses.

[1555] Implementation in wearable devices

[1556] The generated character profile is installed on the wearable device. The user installs it using a dedicated app and engages in personalized interactions with the generated AI in their daily lives. The server manages the installation process using the wearable device API.

[1557] Providing Metaverse spatial exchange

[1558] The server manages the metaverse platform and integrates the profiles of users and generative AI. Interactions and collaboration take place within the metaverse. Users access the metaverse, which is built using Unity or Unreal Engine, and the generative AI provides personalized interactions.

[1559] Development of real robot services

[1560] The server prepares firmware to install the generated AI character profile on the real robot. The robot downloads the specified firmware, confirms that it is working properly, and then executes the task. Feedback is received from the user, and updates are made as necessary.

[1561] Examples of concrete examples and prompts

[1562] If a user requests an "educational character to play with their children at home":

[1563] Users enter their requirements into a web portal, such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny."

[1564] Example prompt: "Create an educational character to play with children. He should have a kind face and a high-pitched, sweet voice. His personality should be educational and fun."

[1565] As a result, the present invention enables personalized dialogue based on the user's emotions and adaptive responses from generative AI, enhancing its practicality across a variety of devices and environments.

[1566] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1567] Program processing flow

[1568] Step 1:

[1569] User input of information

[1570] Users access a dedicated web portal and enter their character's characteristics and intended use.

[1571] Specific actions: The user opens a web browser, accesses the portal, enters information such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny" into a form, and clicks the submit button.

[1572] Input: Character traits, purpose of use, specific requests

[1573] Output: User request data sent

[1574] Step 2:

[1575] Receiving and storing information on the server

[1576] The server receives the information entered by the user and stores it in a database.

[1577] What it does: The server receives information with a backend using Python and Flask and records it in a MySQL database.

[1578] Input: User request data submitted

[1579] Output: User request data stored in a database

[1580] Step 3:

[1581] Automatic task assignment by the server

[1582] The server automatically assigns tasks to designers and storytellers based on the stored information.

[1583] What it does: The server script adds a task to a task management tool (e.g., Trello) via API and notifies the designer and storyteller.

[1584] Input: User request data stored in the database

[1585] Output: Task notifications for designers and storytellers

[1586] Step 4:

[1587] Device-based character design generation

[1588] Designers and storytellers use specialized software to generate character profiles.

[1589] What it does: The designer opens Adobe Photoshop to design the character's appearance, and the storyteller uses story writing software (e.g., Scrivener) to create a character profile.

[1590] Input: Task notification, user request data

[1591] Output: Generated character profile

[1592] Step 5:

[1593] Sending and checking character designs to the server

[1594] The generated character profile is sent to the server, which then verifies it and sends it to the user.

[1595] Specific operation: The completed design file is uploaded to the server, which receives it and sends it to the user. For sending, a REST API is used, and an email sending system (e.g., SendGrid) is used.

[1596] Input: Generated character profile

[1597] Output: Sends the character profile to the user

[1598] Step 6:

[1599] Receive feedback and redesign

[1600] Feedback is received from the user and the server reassigns the task if any corrections are required.

[1601] What happens: The user sends feedback via email reply, etc. The server analyzes the feedback and adds the task back to Trello.

[1602] Input: User feedback

[1603] Output: New task notifications based on redesign

[1604] Step 7:

[1605] Emotional data analysis using an emotion engine

[1606] The emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional data.

[1607] How it works: The emotion engine collects data from the user's webcam and microphone, and analyzes voice data using the Google Cloud Speech-to-Text API and facial expression data using the Facial Recognition API.

[1608] Input: User's voice data, facial expression data

[1609] Output: Obtained emotion data

[1610] Step 8:

[1611] Receiving and analyzing emotion data by the server

[1612] Emotional data is sent to a server in real time, which then adjusts the response of the generated AI.

[1613] How it works: The emotion engine client sends emotion data to the server using WebSocket, and the server uses a real-time analytics library (e.g., Pandas) to analyze the data and adjust the generative AI.

[1614] Input: Captured emotion data

[1615] Output: Adaptive response of the generative AI

[1616] Step 9:

[1617] Emotion-based interaction on devices

[1618] The generative AI engages in adaptive dialogue based on the user's emotions on the device.

[1619] Specific operation: The generative AI sends conversational messages to the user through the device's chat application (e.g., Slack) and responds adaptively according to the user's emotions.

[1620] Input: Adaptive response of generative AI

[1621] Output: A personalized conversational message to the user

[1622] Step 10:

[1623] Installing a character profile on a wearable device

[1624] The generated character profile is installed on the wearable device.

[1625] Specific operation: The user opens the dedicated app and downloads and installs the provided character profile. The server manages the process using the wearable device API.

[1626] Input: Character Profile

[1627] Output: Character profile installed on the wearable device

[1628] Step 11:

[1629] Interacting and collaborating in the metaverse

[1630] The user and the generated AI interact and collaborate in the metaverse space.

[1631] Specific operation: The user puts on the VR set and logs into the Metaverse space. The generative AI provides adaptive dialogue, allowing collaboration to proceed.

[1632] Input: User behavior information, generating AI profile

[1633] Output: Interacting and collaborating in the metaverse space

[1634] Step 12:

[1635] Installing a character profile on a real robot

[1636] The server prepares firmware to install the generated AI's character profile into a real robot, and the robot confirms that it is operating normally.

[1637] Specific operation: The robot downloads the firmware from the specified URL and installs it. After installation, it performs a functional test to confirm normal operation.

[1638] Input: Character profile, firmware

[1639] Output: A real robot that can function normally

[1640] This allows users to use character profiles generated by generative AI on a variety of devices and environments, such as wearable devices, the metaverse, and real robots, and enjoy a personalized experience tailored to their individual emotions.

[1641] (Application example 2)

[1642] 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."

[1643] Conventional character profile generation systems lack dialogue and responses that take user emotions into account, making it difficult to provide personalized customer service and improve customer experience. There is also a lack of effective means to improve the quality of customer service in physical stores. To solve these problems, a system is needed that can analyze user and customer emotions in real time and instantly provide adaptive dialogue and responses based on that analysis.

[1644] 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.

[1645] In this invention, the server includes: a means for inputting the characteristics and goals of a character to be created by a user; a database means for storing the user's input information; a means for assigning the character design to an expert; a means for sending the character profile created by the expert to the user; a means for accepting user feedback and promoting redesign; an emotion analysis means for analyzing customer emotions; a means for generating adaptive dialogue in response to the customer's emotions; and a means for displaying the adaptive dialogue on a wearable device. This enables personalized dialogue and customer service in response to the emotions of the user or customer. This system can significantly improve the quality of customer service in physical stores and increase customer satisfaction.

[1646] "User" means any individual or legal entity that uses the System.

[1647] A "character" is a virtual being that has the profile and characteristics of a person or object that a user wishes to create.

[1648] "Characteristics" refers to individual characteristics of a character, such as appearance, voice quality, and personality.

[1649] "Purpose" indicates the reason why the user creates the character and how it will be used.

[1650] An "input means" is a device or mechanism that allows a user to provide data or information to a system.

[1651] "Database means" refers to a system or device for recording and storing user input information.

[1652] An "expert" is an individual or group with specialized skills in designing or generating character profiles.

[1653] The "allocation method" is a mechanism for assigning the task to the appropriate expert based on the user's input information.

[1654] "Transmission means" refers to the method or mechanism for delivering the character profile generated by the expert to the user.

[1655] "Feedback" refers to evaluations and improvement requests provided by users.

[1656] "Means to facilitate redesign" are methods for rebuilding character profiles based on user feedback.

[1657] "Emotion analysis means" refers to technology or equipment for recognizing and analyzing the emotions of users or customers in real time.

[1658] "Means for generating adaptive dialogue" refers to technology or devices for creating appropriate dialogue and responses based on analyzed emotional data.

[1659] A "wearable device" is an electronic device that can be worn by a user in daily life, such as smart glasses or a smart watch.

[1660] A "system" is an integrated device or mechanism in which multiple means or devices work together to achieve a specific function.

[1661] This system allows users to input the characteristics and goals of the character they wish to create, and experts then generate and provide a character profile based on that information.The system incorporates emotion analysis means, enabling adaptive dialogue based on the user's emotions.

[1662] System Configuration

[1663] Hardware Configuration

[1664] The system includes the following hardware configuration:

[1665] Server: The central control unit where the database, sentiment analysis methods, and generative AI run.

[1666] Dedicated Terminal: A computer terminal used by designers and storytellers to generate character profiles.

[1667] Wearable devices: Smart glasses, smart watches, etc. worn by the user.

[1668] Software Configuration

[1669] The system includes the following software components:

[1670] Database management system: Software for storing and managing user-entered information.

[1671] Emotion analysis library (DeepFace, etc.): A library for analyzing emotions from user facial images in real time.

[1672] Character generation AI (GPT-3, etc.): Artificial intelligence that generates a character profile based on the user's characteristics and goals.

[1673] Example

[1674] 1. User data entry

[1675] Users access a dedicated web portal and input their character's characteristics and goals -- for example, they can enter a request such as "I want a character with a friendly appearance and personality." This information is sent to a server and stored in a database.

[1676] 2. Create and submit your character profile

[1677] The server assigns tasks based on the information entered by the user to the dedicated devices of the designers and storytellers. The experts use dedicated software to generate character profiles and send the results back to the server. The server then checks the generated profiles and sends them to the users. If necessary, it receives feedback from users and promotes redesign.

[1678] 3. Emotion Analysis and Adaptive Dialogue

[1679] When a user wears smart glasses and interacts with customers in a physical store, the emotion analysis library analyzes the customer's emotions in real time. Based on the analysis results, the server uses generative AI to generate adaptive dialogue and displays it on the smart glasses. For example, if the customer is smiling, a message such as "Hello, what a wonderful day today!" will be displayed.

[1680] Example prompt

[1681] Below is an example of a prompt you can use to generate a character profile:

[1682] Generate your character profile:

[1683] Username: User A

[1684] Age: 30

[1685] Intended use: Product description

[1686] Desired appearance: Friendly appearance

[1687] Desired personality: Friendly and easy-going

[1688] Profile Contents:

[1689] {

[1690] "friendly_greeting": "Hello, what a great day today!",

[1691] "comforting_message": "You seem a little tired. Please take your time choosing.",

[1692] "neutral_greeting": "Welcome! What product are you looking for?"

[1693] }

[1694] This enables the system to provide personalized dialogue according to the user's or customer's emotions, improving customer satisfaction.

[1695] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1696] Step 1:

[1697] Users access a dedicated web portal and input their character's traits and goals.

[1698] What it does: A user fills out a form on a web portal, stating their preference, such as "I want a character with a friendly appearance and personality."

[1699] Input: User's desired character traits and goals

[1700] Output: JSON data containing the input information

[1701] Step 2:

[1702] The server stores the user's input information in a database.

[1703] Specific operation: The server stores the received JSON data in the database.

[1704] Input: JSON data containing user input information

[1705] Output: User information stored in the database

[1706] Step 3:

[1707] The server assigns tasks to designers and storytellers.

[1708] Specific operation: The server retrieves user information from the database and sends a task notification to the dedicated terminal.

[1709] Input: User information stored in a database

[1710] Output: Task notifications sent to the designer and storyteller's dedicated devices

[1711] Step 4:

[1712] Designers and storytellers use specialized software to generate character profiles.

[1713] What it does: Designers and storytellers use specialized software (e.g., Adobe Creative Suite) to create character designs and scenarios.

[1714] Input: Task notification and user preferences

[1715] Output: Generated character profile

[1716] Step 5:

[1717] The server sends the generated character profile to the user.

[1718] Specific operation: The server reviews the generated character profile and asks for feedback via the user's email or web portal.

[1719] Input: Generated character profile

[1720] Output: Notification to user asking for feedback

[1721] Step 6:

[1722] Users provide feedback and request redesigns if necessary.

[1723] Specific operations: The user reviews the received profile and submits any corrections or additions they would like to make through the web portal.

[1724] Input: User feedback

[1725] Output: Feedback information is saved on the server

[1726] Step 7:

[1727] The server sends the feedback information back to the designer and storyteller to facilitate redesign.

[1728] What it does: The server analyzes the feedback information and reassigns the necessary correction tasks to the designers and storytellers.

[1729] Input: Saved feedback information

[1730] Output: Reassigned task notification

[1731] Step 8:

[1732] The designer and storyteller redesign the character and submit the revised character profile to the server.

[1733] What happens: The designer and storyteller will reflect the changes and regenerate the character profile.

[1734] Input: Reassignment task notification and feedback information

[1735] Output: Modified character profile

[1736] Step 9:

[1737] The server uses emotion analysis means to analyze the emotions of the customer.

[1738] Specific operation: Facial expression images acquired by smart glasses are analyzed using an emotion analysis library (e.g., DeepFace).

[1739] Input: Customer facial expression image

[1740] Output: Parsed emotion data

[1741] Step 10:

[1742] Based on the analysis results, the server uses generative AI to generate adaptive dialogue.

[1743] Specific operation: The server uses generative AI (e.g., GPT-3) to create an appropriate message based on the emotion data.

[1744] Input: Parsed emotion data

[1745] Output: Adaptive dialogue message

[1746] Step 11:

[1747] The server sends adaptive interaction messages to the wearable device for display.

[1748] Specific operation: The server sends the generated interaction message to the smart glasses and displays the message on the display.

[1749] Input: Adaptive dialogue message

[1750] Output: Message displayed on smart glasses

[1751] 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.

[1752] 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.

[1753] 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.

[1754] [Fourth embodiment]

[1755] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1756] 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.

[1757] 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).

[1758] 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.

[1759] 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.

[1760] 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).

[1761] 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.

[1762] 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.

[1763] 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.

[1764] 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.

[1765] 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.

[1766] 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.

[1767] 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."

[1768] This invention relates to a system in which users input characteristics and goals into a generative AI, and experts generate and provide character profiles based on that information. This system further enables the generative AI to interact with users in a variety of ways by installing the generated character profiles in wearable devices, metaverse spaces, and robots.

[1769] Generative AI character and image creation service

[1770] 1. User:

[1771] Users can apply for the character creation service by accessing a dedicated web portal, where they fill out a form describing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[1772] 2. Server:

[1773] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[1774] 3. Terminal (Designer / Storyteller):

[1775] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[1776] 4. Server:

[1777] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[1778] Wearable device implementation service

[1779] 1. User:

[1780] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[1781] 2. Server:

[1782] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[1783] 3. Terminal (wearable device):

[1784] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life.

[1785] Providing a metaverse space for interaction between users and generative AI

[1786] 1. Server:

[1787] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[1788] 2. User:

[1789] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[1790] 3. Device (user PC / VR device):

[1791] The user's device renders graphics of the metaverse space in real time and provides an interactive interface with the generative AI.

[1792] Development of real robot services

[1793] 1. Server:

[1794] The server prepares firmware to install the character profile with the generated AI into the real robot.

[1795] 2. Terminal (Robot):

[1796] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[1797] 3. User:

[1798] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[1799] In this way, the present invention provides a system for characterizing generated AI and actually utilizing it, and provides an environment in which users can interact with generated AI in a friendly manner in a variety of ways.

[1800] The processing flow will be explained below.

[1801] Generative AI character and image creation service

[1802] Step 1:

[1803] Users log in to a dedicated web portal, apply for the characterization service, and fill out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[1804] Step 2:

[1805] The server receives the user's input and stores it in a database.

[1806] Step 3:

[1807] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[1808] Step 4:

[1809] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[1810] Step 5:

[1811] The device (designer / storyteller) sends the generated character profile to the server.

[1812] Step 6:

[1813] The server verifies the generated character profile and sends it to the user.

[1814] Step 7:

[1815] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[1816] Step 8:

[1817] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[1818] Wearable device implementation service

[1819] Step 1:

[1820] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[1821] Step 2:

[1822] The server sends the character profile through an API for the wearable device and manages the device installation process.

[1823] Step 3:

[1824] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[1825] Step 4:

[1826] The user completes the initial setup wizard and performs daily interactions with the generative AI.

[1827] Providing a metaverse space for interaction between users and generative AI

[1828] Step 1:

[1829] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[1830] Step 2:

[1831] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[1832] Step 3:

[1833] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[1834] Step 4:

[1835] Users interact and collaborate with generative AI within the metaverse space.

[1836] Step 5:

[1837] The server manages the data streams between the user and the generated AI and stores a log of interactions.

[1838] Development of real robot services

[1839] Step 1:

[1840] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[1841] Step 2:

[1842] The terminal (robot) downloads and installs the specified firmware.

[1843] Step 3:

[1844] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[1845] Step 4:

[1846] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[1847] Step 5:

[1848] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[1849] Step 6:

[1850] The server receives feedback from users and updates the firmware as needed to improve the robot's performance.

[1851] Example 1

[1852] 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."

[1853] Previous character profile generation systems faced challenges in accurately reflecting the user's desired character characteristics and goals. Furthermore, they lacked an interface for utilizing the generated character profile across a variety of devices, limiting user interaction. Furthermore, real-time interaction and collaboration between the user and the generating AI in the virtual space often did not proceed smoothly, which compromised the user experience.

[1854] 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.

[1855] In this invention, the server includes means for a user to input the characteristics and goals of a character to be generated, storage means for storing the user's input information, means for assigning the character design to an expert, means for sending the character profile generated by the expert to the user, means for accepting user feedback and promoting redesign, means for generating a character profile using a generative AI model, and means for activating the generative AI model based on a prompt sentence input by the user. This makes it possible to generate a character profile with characteristics and goals specified in detail by the user and to effectively implement the profile in a variety of devices and virtual spaces.

[1856] A "user" is an entity that uses the system to input a character's characteristics and goals and then uses the generative AI model based on them.

[1857] "Character characteristics and purpose" refers to the specific appearance, personality, and use of the character that a user creates through a generative AI model.

[1858] "Means of input" refers to the interface or operating means by which a user inputs the character's characteristics and goals into the system.

[1859] "Storage means" refers to a storage device for storing information entered by a user and generated character profiles.

[1860] "Assignment means" refers to the mechanism that automatically assigns design tasks to experts based on the character information entered by the user.

[1861] "Expert" refers to a professional with specific skills and knowledge to create character designs and profiles.

[1862] "Means of transmission" refers to the means of communication used to deliver the character profile generated by the expert to the user.

[1863] "Generative AI model" refers to an artificial intelligence model that generates a character profile based on user input information.

[1864] A "prompt" is an instruction that the user inputs to the generating AI, clearly stating the character's characteristics and objectives.

[1865] "Mobile device" refers to a portable electronic device such as a smartwatch or smart glasses.

[1866] "Virtual space" refers to a digital environment in which users and generative AI can interact and collaborate.

[1867] "Data stream" refers to the real-time flow of data and transmission of information within a virtual space.

[1868] This invention is a system in which users specify the characteristics and goals of a character using a generative AI model, and a character profile is generated and provided by experts. This system also has the function of implementing the generated character profile on a mobile device or in a virtual space, enabling interaction with the user.

[1869] First, users access a dedicated web portal and input their desired character's characteristics and purpose, such as a prompt such as "a brave knight with a polite personality and a deep male voice." To do so, users use their browser to enter their details into a form provided after logging in.

[1870] The server then receives the user-entered information and stores it in a database, using the Django framework to process the form data and storing it in AWS RDS. This information is then assigned to an expert before being processed using a generative AI model.

[1871] Expert designers and storytellers receive task notifications on their devices. Designers use Adobe Creative Cloud, and storytellers use Google Docs to create character profiles. Once created, they upload them to the server, which stores the uploaded files in AWS S3 and notifies the user.

[1872] Once notified, users can review the character profile and provide feedback if necessary. If a redesign is required, the server will resubmit the feedback to the experts, facilitating the revision process. This process is streamlined using Slack API integration.

[1873] The final character profile is installed on the user's mobile device. The server uses AWS Lambda to send the downloaded character profile to the device via an API. A dedicated app on the device then launches, loads the character profile, and operates.

[1874] The system also provides the ability for users and the generated AI to interact and collaborate in a virtual space. The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users can access the virtual space using their own PC or VR device and interact with the generated AI characters there. Specifically, a PC equipped with an NVIDIA GPU renders the virtual space created in Unity in real time and displays it on Oculus Rift.

[1875] Thus, the present invention aims to provide a system for characterizing generative AI and actually utilizing it, and to provide an environment in which users can interact with generative AI in a friendly manner in a variety of ways.

[1876] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1877] Step 1:

[1878] User input

[1879] Input: The user accesses a dedicated web portal and enters the desired character traits and goals, such as a prompt such as "a brave knight with a polite personality and a deep male voice."

[1880] What happens: The user fires up a browser, enters a URL, logs into a dedicated web portal, and then fills in a form with their specific preferences.

[1881] Output: The entered information is generated as form data.

[1882] Step 2:

[1883] Receiving and storing information on the server

[1884] Input: The form data entered by the user in step 1.

[1885] Processing: The server receives the form data using the Django framework and stores it in AWS RDS. It validates the data format before saving it to the database.

[1886] Output: User input information stored in a database.

[1887] Step 3:

[1888] Automatic task assignment

[1889] Input: User input information stored in the database.

[1890] Processing: The server automatically assigns tasks to designers and storytellers using a task management system (e.g., Slack API integration) based on the stored data. Notifications are sent to the responsible parties during this process.

[1891] Output: Designers and Storytellers receive task notifications.

[1892] Step 4:

[1893] Character design generation by designers and storytellers

[1894] Input: Designers and Storytellers who receive task notifications.

[1895] Process: The designer creates character designs using Adobe Creative Cloud. The storyteller creates character storylines using Google Docs. Both parties upload the completed files to the server.

[1896] Output: The completed character profile is uploaded to the server.

[1897] Step 5:

[1898] Profile verification and transmission by the server

[1899] Input: Uploaded character profile.

[1900] Processing: The server saves the uploaded file to AWS S3, sends a notification email to the user, and verifies the integrity of the saved file.

[1901] Output: A notification email to the user and a saved character profile.

[1902] Step 6:

[1903] User feedback and fixes

[1904] Input: The character profile sent to the user.

[1905] Action: The user clicks the link in the email to access the confirmation page and enters their feedback, which the server then sends back to the experts to facilitate the correction.

[1906] Output: Designers and storytellers who received the revision request, along with the revised character profile.

[1907] Step 7:

[1908] Installing the final character profile on your device

[1909] Input: Final character profile.

[1910] Processing: Users download and install their character profiles using a dedicated mobile device app. The server uses AWS Lambda to send the profiles to the devices and track and manage the installation progress.

[1911] Output: Character profile installed on the handheld device.

[1912] Step 8:

[1913] Virtual space dialogue and collaboration

[1914] Input: Final character profile and user's PC / VR device.

[1915] Processing: The server uses Unity and a virtual space platform to provide an environment where users and the generated AI can interact in real time. Users log in to the virtual space using a PC or VR device and interact with the characters.

[1916] Output: Real-time interaction and collaboration in virtual space.

[1917] Step 9:

[1918] Data stream management and storage

[1919] Input: Real-time interaction data in virtual space.

[1920] Processing: The server manages and, if necessary, stores the data streams generated within the virtual world. This processing includes checking the integrity of the data in real time and storing it for later analysis.

[1921] Output: The saved data stream.

[1922] In this way, each processing step is configured to perform data processing and calculations based on specific input data, and then pass the output to the next step.

[1923] (Application example 1)

[1924] 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."

[1925] Conventional home security systems have limited user interaction, lacking a sense of security and ease of operation. Furthermore, many systems have mechanical intrusion detection and notification mechanisms, making them unfriendly to users. This has led to problems that make it difficult for users to actively use security systems.

[1926] 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.

[1927] In this invention, the server includes means for a user to input the characteristics and purpose of a character to be generated, database means for storing the user's input information, means for assigning the character design to an expert, means for the expert to send the generated character profile to the user, means for accepting user feedback and promoting redesign, means for incorporating the character profile into the security system, and means for the generating AI to detect unauthorized intrusion and notify the user. This allows users to enjoy an interactive security experience using characters that meet their individual needs.

[1928] A "user" is an individual or corporation that uses the system to input the characteristics and goals of a character and enjoys services using the generation AI.

[1929] "Character characteristics" refers to the specific characteristics, appearance, personality, voice quality, and other attribute information of the character desired by the user.

[1930] "Purpose" refers to the specific use or purpose for which the user will use the character, such as home security or conversation.

[1931] "Database means" means a system for temporarily or permanently storing and saving information entered by users.

[1932] An "expert" is someone who specializes in character design and profile creation.

[1933] A "character profile" is a profile that contains detailed attribute information of a character created by an expert.

[1934] A "security system" is a system of technical devices and software that ensures safety within a home or business.

[1935] "Generative AI" is an artificial intelligence technology that generates a character profile based on input data and allows that character to interact with the user.

[1936] "Means of notification" refers to a method or system for notifying users when an abnormality such as unauthorized intrusion is detected.

[1937] The present invention is a system that incorporates characterization using generative AI into a home security system, providing an environment where users can interact with the system more interactively. Specific embodiments of the system are described below.

[1938] System Configuration

[1939] This system consists of the following elements: users, servers, and terminals (e.g., security cameras and security robots). The main hardware and software components are as follows:

[1940] Hardware: Servers (e.g., Amazon EC2), home security cameras, security robots

[1941] Software: Python, FAST API (backend for AI profile generation), smart home management system

[1942] Program Generation

[1943] 1. User input:

[1944] Users access a dedicated web portal and input their character's characteristics and goals by filling out a form with details such as appearance, voice quality, personality, and intended use.

[1945] Example prompt sentence:

[1946] Characteristic: Friendly

[1947] Purpose: Home security

[1948] Request: A robotic pet with a gentle voice and a dependable personality

[1949] 2. Data transmission and storage:

[1950] The server receives input from the user.

[1951] Store it in a database and assign tasks to experts.

[1952] 3. Generate a character profile:

[1953] The assigned expert will use specialized software to generate a character profile.

[1954] The generated profile is sent to the server and provided to the user.

[1955] 4. Installation on security systems:

[1956] The final character profile approved by the user is installed on a home security system (e.g., a smart camera or security robot).

[1957] The server manages the profile distribution and installation process.

[1958] Detailed processing instructions

[1959] User input

[1960] Access the web portal.

[1961] Enter the characteristics and purpose in the form.

[1962] Processing on the server

[1963] Save the received data in the database.

[1964] Assign tasks to experts.

[1965] The generated character profile is sent to the user.

[1966] Gather user feedback and drive redesign where necessary.

[1967] Device interactions and notifications

[1968] The installed character works with the home security system.

[1969] If the AI ​​detects an intrusion, it will notify the user through a character profile.

[1970] This makes the security system more familiar to users, providing high operability and a sense of security. Characters using generated AI notify users in real time when an unauthorized intrusion is detected, enabling them to take appropriate measures immediately.

[1971] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1972] Step 1:

[1973] User-entered character profile

[1974] Users access a dedicated web portal. They input their character's characteristics and goals. For example, they can input "friendly" or "reliable" as characteristics, and "home security" as a goal. They also input specific requests (e.g., robotic pet appearance, gentle voice). The input information is sent to the server via a web form.

[1975] Input: User's character traits, goals, and specific requests

[1976] Output: Send data to the server

[1977] Step 2:

[1978] Server stores data and assigns tasks

[1979] The server receives the input information sent by the user and stores it in a database. Then, based on that information, it assigns character profile design tasks to experts. Experts are notified via a dedicated task management system.

[1980] Input: User input information

[1981] Output: Save to database, assign tasks to experts

[1982] Step 3:

[1983] Expert character profile generation

[1984] The expert uses specialized software to generate a character profile based on the assigned task, including details such as appearance, voice quality, and personality, and then sends the profile to a server.

[1985] Input: User input information, expert design techniques

[1986] Output: Generated character profile

[1987] Step 4:

[1988] Server submits profile and collects feedback

[1989] The server sends the generated character profile to the user, who reviews the profile and provides feedback. The server receives this feedback and prompts redesign if necessary.

[1990] Input: Generated character profile, user feedback

[1991] Output: Send profile to user, collect feedback

[1992] Step 5:

[1993] Installation on security systems

[1994] The final character profile approved by the user is installed on the security system (smart camera or security robot). The server manages the profile distribution and installation process.

[1995] Input: Final character profile

[1996] Output: Installed on security system

[1997] Step 6:

[1998] Real-time monitoring and notification with generative AI

[1999] Devices (e.g., security cameras and robots) monitor the home using the installed characters, and if an intrusion is detected, the generated AI notifies the user in real time through the character profile.

[2000] Input: Character profile, real-time monitoring data

[2001] Output: User notification, anomaly report

[2002] 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.

[2003] This invention relates to a system in which users input their characteristics and goals into a generating AI, and experts use that information to generate and provide a character profile. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing the generating AI to respond adaptively according to the user's emotions, thereby achieving more personalized dialogue. This emotion engine analyzes the user's emotions in real time and adaptively changes the generating AI's responses and dialogue content.

[2004] Generative AI character and image creation service

[2005] 1. User:

[2006] Users can apply for the character creation service by accessing a dedicated web portal and filling out a form detailing the desired character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[2007] 2. Server:

[2008] The server receives the information entered by the user, stores it in a database, and then automatically assigns tasks to experts (designers and storytellers) based on the information.

[2009] 3. Terminal (Designer / Storyteller):

[2010] Designers and storytellers receive task notifications through their devices and use dedicated software to generate character designs, which are then sent to a server.

[2011] 4. Server:

[2012] The server checks the generated character profile, sends it to the user, receives feedback from the user, and facilitates redesign if there are any necessary corrections.

[2013] Incorporating an emotion engine

[2014] 1. Emotion Engine:

[2015] The emotion engine analyzes the user's voice and facial expressions in real time to recognize their emotions, and this emotion data is sent to the server.

[2016] 2. Server:

[2017] The server analyzes the user's emotional data received from the emotion engine and adaptively adjusts the AI's response. For example, if the user is feeling stressed, the AI ​​will be configured to offer comforting words.

[2018] 3. Devices (wearable devices, metaverse, robots):

[2019] The generative AI will then adapt to the user's emotions and provide them with personalized interactions on the device. For example, if the user is having fun in the metaverse, the generative AI can suggest more enjoyable activities.

[2020] Wearable device implementation service

[2021] 1. User:

[2022] Once users receive the final version of their character profile, they install it on their wearable device (smartwatch, smart glasses, etc.).

[2023] 2. Server:

[2024] The server sends the character profile through an API for the wearable device and manages the process until the installation is complete on the device.

[2025] 3. Terminal (wearable device):

[2026] Once installed, the wearable device provides an interface through which the user can interact with the generative AI in everyday life. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's response accordingly.

[2027] Providing a metaverse space for interaction between users and generative AI

[2028] 1. Server:

[2029] The server manages the metaverse space platform and integrates the profiles of users and generative AI. This platform provides an environment where users and generative AI can interact and collaborate in real time using virtual reality or augmented reality.

[2030] 2. User:

[2031] Users can interact with the generated AI and collaborate within the provided metaverse space. Users access the metaverse space through their own devices (PCs or VR devices).

[2032] 3. Device (user PC / VR device):

[2033] The user's device renders the graphics of the metaverse space in real time and provides a dialogue interface with the generative AI. An emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[2034] Development of real robot services

[2035] 1. Server:

[2036] The server prepares firmware to install the character profile with the generated AI into the real robot.

[2037] 2. Terminal (Robot):

[2038] The robot downloads and installs the specified firmware, then performs a functional test to verify that it operates correctly.

[2039] 3. User:

[2040] Once installed, the robot is operated by the user on a daily basis to perform assigned tasks, and the user provides feedback on the tasks and responses performed by the robot, receiving updates as needed via the server.

[2041] In this way, the present invention not only provides a system for characterizing generative AI and actually utilizing it, but also provides a system that incorporates an emotion engine and realizes adaptive dialogue and reactions according to the user's emotions.

[2042] The processing flow will be explained below.

[2043] Generative AI character and image creation service

[2044] Step 1:

[2045] Users log in to a dedicated web portal and apply for the character creation service. They fill out a form detailing the character's characteristics, intended use, and specific requests (appearance, voice quality, personality, etc.).

[2046] Step 2:

[2047] The server receives the user's input and stores it in a database.

[2048] Step 3:

[2049] The server sends notifications to the designers and storytellers automatically assigning information as tasks.

[2050] Step 4:

[2051] The device (designer / storyteller) receives the task notification and begins character design and story setting using dedicated software.

[2052] Step 5:

[2053] The device (designer / storyteller) sends the generated character profile to the server.

[2054] Step 6:

[2055] The server verifies the generated character profile and sends it to the user.

[2056] Step 7:

[2057] The user checks the character profile provided, enters feedback according to satisfaction, and transmits it again to the server.

[2058] Step 8:

[2059] If the server receives user feedback and prompts the designer and storyteller to redesign, it repeats steps 4 to 6 again.

[2060] Incorporating an emotion engine

[2061] Step 1:

[2062] The user puts on the dedicated wearable device and begins setting up the emotion engine. The user performs the initial setup to incorporate their own voice and facial expression data into the emotion engine.

[2063] Step 2:

[2064] The terminal (wearable device) sends the user's voice and facial expression data to an emotion engine, which analyzes their emotions.

[2065] Step 3:

[2066] The emotion engine analyzes the user's emotions in real time and sends the data to the server.

[2067] Step 4:

[2068] The server analyzes the data received from the emotion engine and adaptively adjusts the generative AI's response. For example, if the user is feeling stressed, the generative AI is set to offer comforting words.

[2069] Step 5:

[2070] Generative AI engages in adaptive dialogue based on the user's emotions on wearable devices.

[2071] Wearable device implementation service

[2072] Step 1:

[2073] The user receives the final character profile and initiates the process of installing it on a wearable device (e.g., smartwatch, smartglasses, etc.).

[2074] Step 2:

[2075] The server sends the character profile through an API for the wearable device and manages the device installation process.

[2076] Step 3:

[2077] The device (wearable device) receives the profile data, completes the installation, and displays the initial setup wizard to the user.

[2078] Step 4:

[2079] The user completes the initial setup wizard and interacts with the generative AI on a daily basis. The emotion engine analyzes the user's emotions in real time and adjusts the generative AI's responses.

[2080] Providing a metaverse space for interaction between users and generative AI

[2081] Step 1:

[2082] The server launches the metaverse spatial platform and integrates the profiles of users and the generated AI.

[2083] Step 2:

[2084] The user accesses the Metaverse spatial platform using a terminal (PC or VR device) and logs in.

[2085] Step 3:

[2086] The terminal (user's PC / VR device) renders graphics of the metaverse space in real time and provides an interactive interface with the generated AI.

[2087] Step 4:

[2088] Users interact with generative AI in the metaverse space and collaborate. The emotion engine analyzes the user's emotions and engages in adaptive dialogue.

[2089] Development of real robot services

[2090] Step 1:

[2091] The server prepares firmware to install the character profile with the generated AI implemented into the real robot.

[2092] Step 2:

[2093] The terminal (robot) downloads and installs the specified firmware.

[2094] Step 3:

[2095] After the terminal (robot) is installed, a functional test is conducted to confirm correct operation.

[2096] Step 4:

[2097] The user manually configures the robot's initial settings and verifies that the generated AI operates based on the settings.

[2098] Step 5:

[2099] The user operates the robot on a daily basis, having it perform designated tasks and providing feedback to the server.

[2100] Step 6:

[2101] The server receives feedback from users and updates the firmware as needed to improve the robot's performance, while the emotion engine analyzes the user's emotions and adjusts the robot's responses.

[2102] Example 2

[2103] 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."

[2104] Currently, character profile creation and user interaction using generative AI lack adaptive responses that take the user's emotions into account, making it difficult to provide an individually customized experience. Another issue is the complex process of applying generated characters to wearable devices or the metaverse, which requires a lot of effort from the user. Furthermore, systems that can collaborate with real robots to provide adaptive interaction are still underdeveloped.

[2105] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[2106] In this invention, the server includes means for analyzing the user's voice and facial expressions to acquire emotional data, means for adaptively adjusting the reaction of the generation AI based on the emotional data, and means for the generation AI to engage in dialogue based on the user's emotions, thereby enabling personalized dialogue and adaptive reactions from the generation AI in accordance with the user's individual emotions.

[2107] "User" means an individual or legal entity that uses the system to create and interact with a character profile.

[2108] "Generative AI" is an artificial intelligence model that generates specific character profiles and engages in dialogue based on user requests.

[2109] A "character profile" is data that describes in detail a character's appearance, personality, voice quality, and other characteristics.

[2110] "Specialized software" refers to specific applications used by designers and storytellers to generate character profiles.

[2111] A "database" is a storage device or system for storing user input information and generated character profiles.

[2112] An "emotion engine" is a device or program that analyzes the user's voice and facial expressions to obtain emotion data.

[2113] A "metaverse space" is a virtual space where users and generated AI can interact and collaborate using virtual reality and augmented reality.

[2114] A "wearable device" is an electronic device that can be worn by the user and allows them to interface with generative AI in their daily lives.

[2115] "Firmware" is a software program that installs the character profile of a generated AI into a real robot.

[2116] "Real-time analysis" is a data processing technology that processes data instantly and reflects the results immediately.

[2117] This invention relates to a system that uses generative AI to allow users to generate character profiles and then apply them to wearable devices, the metaverse, and real robots. In particular, it is characterized by its ability to analyze the user's emotions in real time and to engage in adaptive dialogue according to their emotions.

[2118] Characterization and image creation services

[2119] 1. User inputs information

[2120] Users access a web portal and input their character's characteristics and intended use. Specifically, users open a web browser, access the portal, fill out a form, and submit it, detailing the desired character's appearance, voice quality, personality, etc.

[2121] 2. Receipt and storage of information by the server

[2122] The server receives the information entered by the user and stores it in a database. This is done with a Python and Flask backend. The input data is stored in a MySQL database.

[2123] 3. Automatic task assignment by the server

[2124] The server automatically assigns tasks to designers and storytellers based on the saved information, and notifies them via API using a task management tool.

[2125] 4. Character design generation on the device

[2126] Designers and storytellers use specialized software to generate character profiles, for example, Adobe Photoshop to design the character's appearance and story creation software to create the character profile.

[2127] 5. Send and verify the profile to the server

[2128] Once the design is complete, the device sends the profile to the server, which then verifies it and sends it to the user. This is done using a mail sending system (such as SendGrid) via a REST API.

[2129] 6. Feedback and Redesign

[2130] If feedback is received from the user and redesign is necessary, the server reassigns the task. Feedback is accepted via email reply, etc., and the profile is revised.

[2131] Incorporating an emotion engine

[2132] The emotion engine analyzes the user's voice and facial expressions in real time and adjusts the generative AI's responses. The user's voice data is analyzed using the Google Cloud Speech-to-Text API, and facial expression data is analyzed using the Facial Recognition API. The analysis results are sent to the server via WebSocket. The server analyzes the data using a Python real-time analysis library (e.g., Pandas) and adaptively adjusts the generative AI's responses.

[2133] Implementation in wearable devices

[2134] The generated character profile is installed on the wearable device. The user installs it using a dedicated app and engages in personalized interactions with the generated AI in their daily lives. The server manages the installation process using the wearable device API.

[2135] Providing Metaverse spatial exchange

[2136] The server manages the metaverse platform and integrates the profiles of users and generative AI. Interactions and collaboration take place within the metaverse. Users access the metaverse, which is built using Unity or Unreal Engine, and the generative AI provides personalized interactions.

[2137] Development of real robot services

[2138] The server prepares firmware to install the generated AI character profile on the real robot. The robot downloads the specified firmware, confirms that it is working properly, and then executes the task. Feedback is received from the user, and updates are made as necessary.

[2139] Examples of concrete examples and prompts

[2140] If a user requests an "educational character to play with their children at home":

[2141] Users enter their requirements into a web portal, such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny."

[2142] Example prompt: "Create an educational character to play with children. He should have a kind face and a high-pitched, sweet voice. His personality should be educational and fun."

[2143] As a result, the present invention enables personalized dialogue based on the user's emotions and adaptive responses from generative AI, enhancing its practicality across a variety of devices and environments.

[2144] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2145] Program processing flow

[2146] Step 1:

[2147] User input of information

[2148] Users access a dedicated web portal and enter their character's characteristics and intended use.

[2149] Specific actions: The user opens a web browser, accesses the portal, enters information such as "Appearance: Kind-looking face," "Voice quality: High-pitched, cute voice," and "Personality: Educational and funny" into a form, and clicks the submit button.

[2150] Input: Character traits, purpose of use, specific requests

[2151] Output: User request data sent

[2152] Step 2:

[2153] Receiving and storing information on the server

[2154] The server receives the information entered by the user and stores it in a database.

[2155] What it does: The server receives information with a backend using Python and Flask and records it in a MySQL database.

[2156] Input: User request data submitted

[2157] Output: User request data stored in a database

[2158] Step 3:

[2159] Automatic task assignment by the server

[2160] The server automatically assigns tasks to designers and storytellers based on the stored information.

[2161] What it does: The server script adds a task to a task management tool (e.g., Trello) via API and notifies the designer and storyteller.

[2162] Input: User request data stored in the database

[2163] Output: Task notifications for designers and storytellers

[2164] Step 4:

[2165] Device-based character design generation

[2166] Designers and storytellers use specialized software to generate character profiles.

[2167] What it does: The designer opens Adobe Photoshop to design the character's appearance, and the storyteller uses story writing software (e.g., Scrivener) to create a character profile.

[2168] Input: Task notification, user request data

[2169] Output: Generated character profile

[2170] Step 5:

[2171] Sending and checking character designs to the server

[2172] The generated character profile is sent to the server, which then verifies it and sends it to the user.

[2173] Specific operation: The completed design file is uploaded to the server, which receives it and sends it to the user. For sending, a REST API is used, and an email sending system (e.g., SendGrid) is used.

[2174] Input: Generated character profile

[2175] Output: Sends the character profile to the user

[2176] Step 6:

[2177] Receive feedback and redesign

[2178] Feedback is received from the user and the server reassigns the task if any corrections are required.

[2179] What happens: The user sends feedback via email reply, etc. The server analyzes the feedback and adds the task back to Trello.

[2180] Input: User feedback

[2181] Output: New task notifications based on redesign

[2182] Step 7:

[2183] Emotional data analysis using an emotion engine

[2184] The emotion engine analyzes the user's voice and facial expressions in real time to obtain emotional data.

[2185] How it works: The emotion engine collects data from the user's webcam and microphone, and analyzes voice data using the Google Cloud Speech-to-Text API and facial expression data using the Facial Recognition API.

[2186] Input: User's voice data, facial expression data

[2187] Output: Obtained emotion data

[2188] Step 8:

[2189] Receiving and analyzing emotion data by the server

[2190] Emotional data is sent to a server in real time, which then adjusts the response of the generated AI.

[2191] How it works: The emotion engine client sends emotion data to the server using WebSocket, and the server uses a real-time analytics library (e.g., Pandas) to analyze the data and adjust the generative AI.

[2192] Input: Captured emotion data

[2193] Output: Adaptive response of the generative AI

[2194] Step 9:

[2195] Emotion-based interaction on devices

[2196] The generative AI engages in adaptive dialogue based on the user's emotions on the device.

[2197] Specific operation: The generative AI sends conversational messages to the user through the device's chat application (e.g., Slack) and responds adaptively according to the user's emotions.

[2198] Input: Adaptive response of generative AI

[2199] Output: A personalized conversational message to the user

[2200] Step 10:

[2201] Installing a character profile on a wearable device

[2202] The generated character profile is installed on the wearable device.

[2203] Specific operation: The user opens the dedicated app and downloads and installs the provided character profile. The server manages the process using the wearable device API.

[2204] Input: Character Profile

[2205] Output: Character profile installed on the wearable device

[2206] Step 11:

[2207] Interacting and collaborating in the metaverse

[2208] The user and the generated AI interact and collaborate in the metaverse space.

[2209] Specific operation: The user puts on the VR set and logs into the Metaverse space. The generative AI provides adaptive dialogue, allowing collaboration to proceed.

[2210] Input: User behavior information, generating AI profile

[2211] Output: Interacting and collaborating in the metaverse space

[2212] Step 12:

[2213] Installing a character profile on a real robot

[2214] The server prepares firmware to install the generated AI's character profile into a real robot, and the robot confirms that it is operating normally.

[2215] Specific operation: The robot downloads the firmware from the specified URL and installs it. After installation, it performs a functional test to confirm normal operation.

[2216] Input: Character profile, firmware

[2217] Output: A real robot that can function normally

[2218] This allows users to use character profiles generated by generative AI on a variety of devices and environments, such as wearable devices, the metaverse, and real robots, and enjoy a personalized experience tailored to their individual emotions.

[2219] (Application example 2)

[2220] 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."

[2221] Conventional character profile generation systems lack dialogue and responses that take user emotions into account, making it difficult to provide personalized customer service and improve customer experience. There is also a lack of effective means to improve the quality of customer service in physical stores. To solve these problems, a system is needed that can analyze user and customer emotions in real time and instantly provide adaptive dialogue and responses based on that analysis.

[2222] 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.

[2223] In this invention, the server includes: a means for inputting the characteristics and goals of a character to be created by a user; a database means for storing the user's input information; a means for assigning the character design to an expert; a means for sending the character profile created by the expert to the user; a means for accepting user feedback and promoting redesign; an emotion analysis means for analyzing customer emotions; a means for generating adaptive dialogue in response to the customer's emotions; and a means for displaying the adaptive dialogue on a wearable device. This enables personalized dialogue and customer service in response to the emotions of the user or customer. This system can significantly improve the quality of customer service in physical stores and increase customer satisfaction.

[2224] "User" means any individual or legal entity that uses the System.

[2225] A "character" is a virtual being that has the profile and characteristics of a person or object that a user wishes to create.

[2226] "Characteristics" refers to individual characteristics of a character, such as appearance, voice quality, and personality.

[2227] "Purpose" indicates the reason why the user creates the character and how it will be used.

[2228] An "input means" is a device or mechanism that allows a user to provide data or information to a system.

[2229] "Database means" refers to a system or device for recording and storing user input information.

[2230] An "expert" is an individual or group with specialized skills in designing or generating character profiles.

[2231] The "allocation method" is a mechanism for assigning the task to the appropriate expert based on the user's input information.

[2232] "Transmission means" refers to the method or mechanism for delivering the character profile generated by the expert to the user.

[2233] "Feedback" refers to evaluations and improvement requests provided by users.

[2234] "Means to facilitate redesign" are methods for rebuilding character profiles based on user feedback.

[2235] "Emotion analysis means" refers to technology or equipment for recognizing and analyzing the emotions of users or customers in real time.

[2236] "Means for generating adaptive dialogue" refers to technology or devices for creating appropriate dialogue and responses based on analyzed emotional data.

[2237] A "wearable device" is an electronic device that can be worn by a user in daily life, such as smart glasses or a smart watch.

[2238] A "system" is an integrated device or mechanism in which multiple means or devices work together to achieve a specific function.

[2239] This system allows users to input the characteristics and goals of the character they wish to create, and experts then generate and provide a character profile based on that information.The system incorporates emotion analysis means, enabling adaptive dialogue based on the user's emotions.

[2240] System Configuration

[2241] Hardware Configuration

[2242] The system includes the following hardware configuration:

[2243] Server: The central control unit where the database, sentiment analysis methods, and generative AI run.

[2244] Dedicated Terminal: A computer terminal used by designers and storytellers to generate character profiles.

[2245] Wearable devices: Smart glasses, smart watches, etc. worn by the user.

[2246] Software Configuration

[2247] The system includes the following software components:

[2248] Database management system: Software for storing and managing user-entered information.

[2249] Emotion analysis library (DeepFace, etc.): A library for analyzing emotions from user facial images in real time.

[2250] Character generation AI (GPT-3, etc.): Artificial intelligence that generates a character profile based on the user's characteristics and goals.

[2251] Example

[2252] 1. User data entry

[2253] Users access a dedicated web portal and input their character's characteristics and goals -- for example, they can enter a request such as "I want a character with a friendly appearance and personality." This information is sent to a server and stored in a database.

[2254] 2. Create and submit your character profile

[2255] The server assigns tasks based on the information entered by the user to the dedicated devices of the designers and storytellers. The experts use dedicated software to generate character profiles and send the results back to the server. The server then checks the generated profiles and sends them to the users. If necessary, it receives feedback from users and promotes redesign.

[2256] 3. Emotion Analysis and Adaptive Dialogue

[2257] When a user wears smart glasses and interacts with customers in a physical store, the emotion analysis library analyzes the customer's emotions in real time. Based on the analysis results, the server uses generative AI to generate adaptive dialogue and displays it on the smart glasses. For example, if the customer is smiling, a message such as "Hello, what a wonderful day today!" will be displayed.

[2258] Example prompt

[2259] Below is an example of a prompt you can use to generate a character profile:

[2260] Generate your character profile:

[2261] Username: User A

[2262] Age: 30

[2263] Intended use: Product description

[2264] Desired appearance: Friendly appearance

[2265] Desired personality: Friendly and easy-going

[2266] Profile Contents:

[2267] {

[2268] "friendly_greeting": "Hello, what a great day today!",

[2269] "comforting_message": "You seem a little tired. Please take your time choosing.",

[2270] "neutral_greeting": "Welcome! What product are you looking for?"

[2271] }

[2272] This enables the system to provide personalized dialogue according to the user's or customer's emotions, improving customer satisfaction.

[2273] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2274] Step 1:

[2275] Users access a dedicated web portal and input their character's traits and goals.

[2276] What it does: A user fills out a form on a web portal, stating their preference, such as "I want a character with a friendly appearance and personality."

[2277] Input: User's desired character traits and goals

[2278] Output: JSON data containing the input information

[2279] Step 2:

[2280] The server stores the user's input information in a database.

[2281] Specific operation: The server stores the received JSON data in the database.

[2282] Input: JSON data containing user input information

[2283] Output: User information stored in the database

[2284] Step 3:

[2285] The server assigns tasks to designers and storytellers.

[2286] Specific operation: The server retrieves user information from the database and sends a task notification to the dedicated terminal.

[2287] Input: User information stored in a database

[2288] Output: Task notifications sent to the designer and storyteller's dedicated devices

[2289] Step 4:

[2290] Designers and storytellers use specialized software to generate character profiles.

[2291] What it does: Designers and storytellers use specialized software (e.g., Adobe Creative Suite) to create character designs and scenarios.

[2292] Input: Task notification and user preferences

[2293] Output: Generated character profile

[2294] Step 5:

[2295] The server sends the generated character profile to the user.

[2296] Specific operation: The server reviews the generated character profile and asks for feedback via the user's email or web portal.

[2297] Input: Generated character profile

[2298] Output: Notification to user asking for feedback

[2299] Step 6:

[2300] Users provide feedback and request redesigns if necessary.

[2301] Specific operations: The user reviews the received profile and submits any corrections or additions they would like to make through the web portal.

[2302] Input: User feedback

[2303] Output: Feedback information is saved on the server

[2304] Step 7:

[2305] The server sends the feedback information back to the designer and storyteller to facilitate redesign.

[2306] What it does: The server analyzes the feedback information and reassigns the necessary correction tasks to the designers and storytellers.

[2307] Input: Saved feedback information

[2308] Output: Reassigned task notification

[2309] Step 8:

[2310] The designer and storyteller redesign the character and submit the revised character profile to the server.

[2311] What happens: The designer and storyteller will reflect the changes and regenerate the character profile.

[2312] Input: Reassignment task notification and feedback information

[2313] Output: Modified character profile

[2314] Step 9:

[2315] The server uses emotion analysis means to analyze the emotions of the customer.

[2316] Specific operation: Facial expression images acquired by smart glasses are analyzed using an emotion analysis library (e.g., DeepFace).

[2317] Input: Customer facial expression image

[2318] Output: Parsed emotion data

[2319] Step 10:

[2320] Based on the analysis results, the server uses generative AI to generate adaptive dialogue.

[2321] Specific operation: The server uses generative AI (e.g., GPT-3) to create an appropriate message based on the emotion data.

[2322] Input: Parsed emotion data

[2323] Output: Adaptive dialogue message

[2324] Step 11:

[2325] The server sends adaptive interaction messages to the wearable device for display.

[2326] Specific operation: The server sends the generated interaction message to the smart glasses and displays the message on the display.

[2327] Input: Adaptive dialogue message

[2328] Output: Message displayed on smart glasses

[2329] 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.

[2330] 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.

[2331] 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.

[2332] 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.

[2333] 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.

[2334] 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.

[2335] 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).

[2336] 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.

[2337] 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."

[2338] 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.

[2339] 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).

[2340] 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.

[2341] 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.

[2342] 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.

[2343] 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.

[2344] 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.

[2345] 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.

[2346] 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.

[2347] 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.

[2348] 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.

[2349] 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.

[2350] The following is further disclosed regarding the above embodiment.

[2351] (Claim 1)

[2352] a means for inputting the characteristics and objectives of a user-generated character;

[2353] a database means for storing user input information;

[2354] A means of assigning character design to an expert;

[2355] a means for transmitting the expert-generated character profile to the user;

[2356] A system that includes a means to accept user feedback and facilitate redesign.

[2357] (Claim 2)

[2358] A means for installing the generated character profile on a wearable device;

[2359] The system of claim 1, further comprising a means for the generating AI to communicate with the user on a daily basis.

[2360] (Claim 3)

[2361] A means for users and generative AI to interact and collaborate in the metaverse space;

[2362] 10. The system of claim 1, further comprising means for managing and storing data streams within the metaverse.

[2363] (Claim 4)

[2364] means for installing the generated character profile on a robot;

[2365] 10. The system of claim 1, wherein the robot comprises means for being operated by a user to perform routine tasks.

[2366] "Example 1"

[2367] (Claim 1)

[2368] a means for inputting the characteristics and objectives of a user-generated character;

[2369] a storage device for storing user input information;

[2370] A means of assigning character design to an expert;

[2371] a means for transmitting the expert-generated character profile to the user;

[2372] A means to accept user feedback and drive redesign;

[2373] a means for generating a character profile using a generative AI model;

[2374] A means of invoking a generative AI model based on a user-provided prompt.

[2375] A system including:

[2376] (Claim 2)

[2377] means for installing the generated character profile on a portable device;

[2378] A means for generative AI to communicate with users on a daily basis

[2379] 10. The system of claim 1, comprising:

[2380] (Claim 3)

[2381] A means for users and generated AI to interact and collaborate in virtual space;

[2382] A means of managing and storing data streams in virtual space

[2383] 10. The system of claim 1, comprising:

[2384] "Application Example 1"

[2385] (Claim 1)

[2386] a means for inputting the characteristics and objectives of a user-generated character;

[2387] a database means for storing user input information;

[2388] A means of assigning character design to an expert;

[2389] a means for transmitting the expert-generated character profile to the user;

[2390] A means to accept user feedback and drive redesign;

[2391] a means for incorporating character profiles into security systems;

[2392] The generation AI detects unauthorized intrusions and notifies users.

[2393] ...

[2394] A system including:

[2395] (Claim 2)

[2396] A means for installing the generated character profile on a wearable device;

[2397] The system of claim 1, further comprising a means for the generating AI to communicate with the user on a daily basis.

[2398] (Claim 3)

[2399] A means for users and generative AI to interact and collaborate in the metaverse space;

[2400] 10. The system of claim 1, further comprising means for managing and storing data streams within the metaverse.

[2401] "Example 2: Combining Emotion Engines"

[2402] (Claim 1)

[2403] a means for inputting the characteristics and goals of a user-generated character;

[2404] a database means for storing user input information;

[2405] A means of assigning character design to an expert;

[2406] means for transmitting the expert-generated character profile to the user;

[2407] A means to receive user feedback and drive redesign;

[2408] means for analyzing the user's voice and facial expression to acquire emotion data;

[2409] A means for adaptively adjusting the response of the generative AI based on the emotional data;

[2410] A means for the generative AI to engage in dialogue based on the user's emotions;

[2411] A system including:

[2412] (Claim 2)

[2413] A means for installing the generated character profile on a wearable device;

[2414] A means for the generative AI to communicate with users on a daily basis,

[2415] A means of analyzing emotional data in real time and adaptively adjusting the generative AI's responses;

[2416] 10. The system of claim 1, comprising:

[2417] (Claim 3)

[2418] A means for users and generative AI to interact and collaborate in the metaverse space;

[2419] a means of managing and storing data streams within the metaverse;

[2420] A means of adjusting the response of the generative AI within the metaverse space based on emotional data; and

[2421] 10. The system of claim 1, comprising:

[2422] "Application example 2 when combining emotion engines"

[2423] (Claim 1)

[2424] a means for inputting the characteristics and objectives of a user-generated character;

[2425] a database means for storing user input information;

[2426] A means of assigning character design to an expert;

[2427] a means for transmitting the expert-generated character profile to the user;

[2428] A means to accept user feedback and drive redesign;

[2429] A sentiment analysis means for analyzing the sentiment of a customer;

[2430] A means for generating adaptive dialogue according to customer emotions;

[2431] A system including means for displaying adaptive interactions on a wearable device.

[2432] (Claim 2)

[2433] A means for installing the generated character profile on a wearable device;

[2434] The system of claim 1, further comprising a means for the generating AI to communicate with the user on a daily basis.

[2435] (Claim 3)

[2436] A means for users and generative AI to interact and collaborate in the metaverse space;

[2437] 10. The system of claim 1, further comprising means for managing and storing data streams within the metaverse. [Explanation of symbols]

[2438] 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. a means for inputting the characteristics and objectives of a user-generated character; a database means for storing user input information; A means of assigning character design to an expert; a means for transmitting the expert-generated character profile to the user; A system that includes a means to accept user feedback and facilitate redesign.

2. A means for installing the generated character profile on a wearable device; The system of claim 1, wherein the generating AI includes a means for communicating with the user on a daily basis.

3. A means for users and generative AI to interact and collaborate in the metaverse space; The system of claim 1 , further comprising means for managing and storing data streams in the metaverse.

4. means for installing the generated character profile on a robot; 10. The system of claim 1, wherein the robot comprises means for being operated by a user to perform routine tasks.

Images