system

Abstract

We provide the system. [Solution] A means for receiving authentication information from a user's terminal and issuing a token to grant access to the virtual reality space, A means for receiving information about content operated by a user within that virtual reality space, updating and transmitting said content information to other user terminals in real time, A means of generating suggestions using a machine learning algorithm based on a user request and sending them to the user's terminal, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern creative activities, there is a problem that collaborative production by multiple people is difficult due to physical distance and lack of specialized knowledge. In particular, when performing real-time co-production in a virtual reality space, it is difficult to adjust opinions among users and create new ideas. In addition, it is required to provide support according to the skill level of users and customized feedback based on past mechanisms, but there is a lack of means to efficiently implement this.

Means for Solving the Problems

[0005] This invention provides a means for receiving authentication information from a user terminal and issuing a token to enable access to a virtual reality space. This means allows users to easily participate in the system. Furthermore, it includes a means for updating content information created by users in the virtual reality space in real time, enabling smooth exchange of ideas and collaborative creation among multiple users. In addition, it utilizes machine learning algorithms to generate creative suggestions in response to user requests and provides customized feedback, thereby streamlining creative activities. This reduces barriers to co-creation such as physical distance and lack of expertise, making it possible to provide an environment in which users can create richer works.

[0006] A "user terminal" is a computing device used by a user, a device for inputting operational information and accessing a virtual reality space.

[0007] "Authentication information" refers to information used when a user accesses a system, and typically includes a username and password, or biometric authentication data.

[0008] A "token" is a digital key issued to an authenticated user, and it is identification information used to control access to the virtual reality space.

[0009] A "virtual reality space" is a three-dimensional environment created by a computer, a space in which users can immerse themselves and interact.

[0010] "Content information" refers to digital data created or manipulated by users within a virtual reality space, including media elements such as images and music.

[0011] A "machine learning algorithm" is a program that derives patterns and inferences from data to optimize the execution of a specific task.

[0012] A "suggestion" is an idea or improvement plan generated by an AI agent to support the user's creative activities.

[0013] "Feedback" refers to information that evaluates and indicates areas for improvement regarding a user's activities, and is intended to help the user take their next action.

[0014] "Real-time updates" refers to a process where data and information are synchronized instantly, ensuring that the latest information is reflected to the user without delay. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0018] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

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

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

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

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0032] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention aims to build a system that enables collaborative creation by multiple users in a virtual reality space. Specifically, it provides a mechanism that allows users to access the virtual reality space using individual terminals and create and manipulate content in real time.

[0037] When a user connects to a virtual reality space, the terminal first receives the user's authentication information through an input interface. The terminal then sends this information to a server. The server uses this information to consult a database, and if authentication is successful, issues a token granting access. This token is sent to the terminal, and the user uses it to log in to the system.

[0038] Users entering the virtual reality space can begin creating digital content through an interactive interface. They can paint using digital brushes and add music tracks. The terminal monitors the user's actions and sends this information to the server each time. The server, in turn, uses this information to share the same information with other users in the virtual space, allowing all users to share the latest production progress in real time.

[0039] The AI ​​agent is a crucial element of this system. Upon receiving a request from the terminal, the AI ​​agent on the server uses machine learning algorithms to generate suggestions for the user's project and sends that data to the terminal. For example, if the user is creating a painting, the AI ​​agent will suggest various color schemes, expanding the user's options. Similarly, in a music project, it might offer new melody and rhythm ideas.

[0040] This system allows users to engage in creative activities while collaborating closely with others, transcending physical limitations. Furthermore, AI support enables them to gain new inspiration that would not have been possible through traditional methods. As a result, users can efficiently produce more creative and diverse media content.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user launches the application on their device and enters their authentication information on the input screen. The device then sends this information to the server.

[0044] Step 2:

[0045] The server queries the database for the received authentication information and verifies that the information matches. If authentication is successful, it generates a token and sends it to the terminal.

[0046] Step 3:

[0047] The terminal uses the received token to log the user into the virtual reality space and fully load the work interface.

[0048] Step 4:

[0049] The user begins creating a project in a virtual reality space, for example, by selecting a tool to draw a picture and starting to operate it. The device continuously sends the operation data to the server.

[0050] Step 5:

[0051] The server analyzes the operation data received in real time and sends data to other participating users' devices to reflect the latest status.

[0052] Step 6:

[0053] When a user requests AI assistance during the creative process, the device sends the request to the server. The server then invokes the AI ​​agent.

[0054] Step 7:

[0055] The AI ​​agent uses machine learning algorithms to generate creative suggestions for the user's project (for example, new color combinations or musical melodies) and returns that data to the device.

[0056] Step 8:

[0057] The device presents the user with suggestions from an AI agent, and the user can choose whether or not to accept those suggestions.

[0058] Step 9:

[0059] When a user finishes a project, the device sends all content information to the server, which then stores that information in a database.

[0060] Step 10:

[0061] The server notifies the terminal that saving is complete, and the terminal displays a termination message to the user, safely logging them out of the virtual reality space.

[0062] (Example 1)

[0063] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0064] In modern virtual reality environments, real-time information sharing is difficult when multiple users collaborate on content simultaneously. Furthermore, there are insufficient means to provide effective suggestions to support each user's creative activities. Additionally, the provision of customized feedback based on individual user preferences and past activity history is inadequate. Therefore, these challenges need to be effectively addressed.

[0065] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0066] In this invention, the server includes means for receiving authentication information from a user device and issuing a token to grant access to a virtual reality environment; means for receiving information on digital content operated by the user within the virtual reality environment and updating and transmitting the digital content information to other user devices in real time; and means for generating suggestions using machine learning technology based on a request from the user and transmitting them to the user device. This enables users to collaborate smoothly in the virtual reality environment and receive creative suggestions and customized feedback using AI technology.

[0067] A "user device" is an information processing device that accesses a virtual reality environment and sends and receives user operations and inputs.

[0068] A "virtual reality environment" is a three-dimensional space created using computer technology, in which users can visually and experientially explore and interact with a virtual world.

[0069] "Authentication information" refers to data used to verify a user's identity, and typically includes a username and password.

[0070] A "token" is a temporary digital key issued after successful user authentication, and it functions as identification information for users to access the system.

[0071] "Digital content" refers to data, including visual, auditory, and other information, that users generate, manipulate, and share within a virtual reality environment.

[0072] "Machine learning technology" is a technique that automatically learns patterns and rules from data and generates predictions and suggestions based on them.

[0073] "Feedback" refers to advice and responses provided based on the user's activity history and preferences, and includes information to support the user's activities.

[0074] The "information storage section" is a database or storage area for securely storing digital data generated within the system.

[0075] This invention relates to a system that allows users to collaboratively generate and edit digital content in a virtual reality environment. Users can access the virtual reality environment using individual user devices and operate it in real time.

[0076] The server acts as the central control unit of this system, using authentication information received from the user's device to control user access. After successful authentication, the server issues an access token, granting access to the virtual reality environment. User devices typically include, but are not limited to, VR headsets and controllers.

[0077] The server also receives operation information for digital content transmitted from user devices and synchronizes that data with other user devices. This allows multiple users to work collaboratively in the virtual reality environment simultaneously.

[0078] Furthermore, the AI ​​system running on the server utilizes generative AI models and leverages machine learning techniques to provide suggestions for content created by the user. These suggestions are generated based on the user's requests and support the creative process. Specifically, it can suggest different color schemes to a user creating a painting, or present new melody lines to a user creating music.

[0079] For example, if a user is creating a landscape painting in a virtual reality space, the AI ​​system can recommend a "color combination that evokes the image of a sunset." Similarly, if another user is working on a music project, it can suggest trying a "jazz-style rhythm pattern."

[0080] In this system, a concrete example of a prompt would be: "When a user creates digital content in a virtual reality space, what kind of suggestions should the AI ​​agent make? For example, what color scheme could it suggest for a landscape painting?"

[0081] In this way, users can go beyond the confines of virtual reality, collaborate with other users on creative activities, and gain new inspiration with the support of AI.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The user enters authentication information at the login interface using their device. The terminal receives this input information and sends it to the server. The server processes the received authentication information and compares it with the database. Based on this data processing, the server determines whether to issue an access token. If successful, it generates an access token and sends it to the terminal.

[0085] Step 2:

[0086] The user logs into the virtual reality environment using an access token. The device verifies the token and establishes a connection with the server. The server validates this token and starts the user's session. This allows the user to access the virtual reality environment.

[0087] Step 3:

[0088] Users create or edit digital content using a VR control interface. The terminal detects user actions in real time and collects the action data. This action data is temporarily processed and compiled on the terminal before being sent to the server.

[0089] Step 4:

[0090] The server uses the received operation data to update the current state of the content within the virtual reality environment. The server distributes the updated data to all other user devices, synchronizing the latest state on everyone's screens. This synchronization process allows users to see changes made by other collaborators in real time.

[0091] Step 5:

[0092] When a user requests an AI suggestion, the device sends the request to the server. The AI ​​agent on the server activates a generative AI model and uses machine learning algorithms to generate suggestions. For example, if the user is trying to add color to a painting, the AI ​​agent might suggest "cool, harmonious shades."

[0093] Step 6:

[0094] The AI-generated suggestions are sent from the server to the terminal. The terminal visually presents these to the user, allowing them to choose whether to apply the suggestions. The user can then review the suggestions, adopt them as needed, and continue their creative work.

[0095] (Application Example 1)

[0096] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0097] In recent years, collaborative creation in virtual environments has attracted attention, but various problems exist in order for multiple users to collaborate and engage in creative activities in real time. In particular, it is difficult to achieve smooth information sharing and proposal provision among users, and efficient collaborative work through the virtual environment. The present invention aims to solve these problems and provide a means for users to engage in more creative and efficient collaborative creation.

[0098] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0099] In this invention, the server includes means for receiving authentication data from a user terminal and issuing an identifier to permit access to a virtual environment; means for receiving information on data operated by the user within the virtual environment and updating and transmitting said data information to other user terminals in real time; and means for generating suggestions using machine learning techniques based on requests from users and transmitting them to user terminals. This enables multiple users to smoothly share information and efficiently collaborate on projects within the virtual environment while receiving suggestions from AI.

[0100] A "user terminal" refers to a device used by a user to access and operate a virtual environment, such as a smartphone or head-mounted display.

[0101] "Authentication data" refers to information necessary for a user to be granted access to the virtual environment, and includes login information and identification information.

[0102] A "virtual environment" refers to a three-dimensional digital space built on a computer that users can access and operate in real time.

[0103] An "identifier" refers to a unique code or token issued for the purpose of granting access to a virtual environment.

[0104] "Data information" refers to information related to content and digital objects that users interact with within the virtual environment.

[0105] "Machine learning methods" refer to algorithms and methodologies used by AI agents to generate suggestions that meet user requirements.

[0106] "Proposal generation" refers to the process by which an AI agent creates and provides new ideas and optimization suggestions based on the user's actions and requests.

[0107] "User terminal" refers to a device connected to a virtual environment and used to receive and display information within that environment.

[0108] To implement this invention, the server receives authentication data from the user terminal and issues an identifier. This grants the user access to the virtual environment. When the user manipulates digital objects or content within the virtual environment, the content is transmitted to the server in real time. The server receives this data and immediately transmits the update information to other users' terminals.

[0109] The server utilizes TENSORFLOW® to apply machine learning based on user requests and generate suggestions. For example, if a user is creating artwork, it can provide suggestions on color selection and design optimization. These suggestions are sent to the user's device, helping them improve the quality of their creative work.

[0110] As a concrete example, suppose a user is creating a new painting in a virtual art gallery. In this case, the server, through an AI agent, provides suggestions for color palettes and composition, and has the functionality to share the progress of the work with other collaborators in real time.

[0111] Examples of prompts for a generative AI model:

[0112] "Generate new color suggestions for users to collaboratively create art in a virtual reality space."

[0113] Users can easily experience these processes using smartphones or head-mounted displays. This system supports real-time collaborative creation and enables creative activities that transcend physical limitations.

[0114] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0115] Step 1:

[0116] When a user attempts to access a virtual environment from their device, the device sends authentication data, such as a username and password, to the server. The server receives this data, compares it against its database, and if authentication is successful, generates an identifier and sends it to the device. This identifier serves as the key for the user to access the virtual environment.

[0117] Step 2:

[0118] When a user manipulates a digital object within the virtual environment, the terminal sends the details of that manipulation to the server. The server receives this information in real time and, as data processing, transmits it as an update to all other user terminals. This allows other users to experience the changes in the environment almost simultaneously.

[0119] Step 3:

[0120] When a user sends a specific request to the server, the server uses TensorFlow to perform machine learning and generate suggestions based on that request. For example, in the case of an artwork, the server would suggest available colors and compositions. This process involves the AI ​​performing data calculations on the input request data and outputting the optimal suggestion.

[0121] Step 4:

[0122] The generated suggestions are sent from the server to the user's device. The device receives these suggestions and displays them to the user, allowing them to use them in their creative process. The user can continue working on their project using the suggestions as a reference, and if further actions are taken, the information sharing process will resume from step 2.

[0123] This process allows users to continuously receive new suggestions and engage in creative activities together with many other users.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] This invention provides a system that supports efficient collaborative creation by multiple users in a virtual reality space, and in particular, by incorporating an emotion engine, it enables interaction that utilizes the recognition of users' emotions.

[0126] When a user accesses a virtual reality space, the device receives the user's authentication information and sends it to the server. The server uses the authentication information to look up information in a database, verifies that the access is legitimate, and then issues a token. This token is returned to the device, and the user uses this token to log in to the virtual reality space.

[0127] Within the virtual reality space, users are provided with an environment where they can manipulate and create various digital content. The terminal continuously collects user activity information in real time. This data is sent to a server, which then shares updated information with other participating users, facilitating smooth collaboration.

[0128] The emotion engine analyzes the user's emotions in real time from their facial expressions and voice. The device collects the user's emotion data through its camera and microphone and sends it to the server. The emotion engine on the server analyzes this data and determines the user's emotional state. Based on this information, the server uses an AI agent to generate suggestions and feedback appropriate to the user's emotions and provides them to the device.

[0129] For example, if a user is feeling discouraged with a project, the emotion engine detects this and the AI ​​agent generates supportive suggestions and tone-adjusted messages to motivate them. This allows the user to continue creating in an environment that fosters positive emotions.

[0130] Furthermore, the emotion engine enriches user interaction; for example, displaying a user's emotional state allows other users to communicate accordingly. This dynamic feedback loop deepens mutual understanding among users and improves the quality of collaborative work.

[0131] With a system configured in this way, creative activities in virtual reality space can be conducted in a more intuitive and emotionally resonant manner, allowing users to gain a new creative experience.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] The user launches the virtual reality application using their device and enters their authentication information on the login screen. The device then sends this information to the server.

[0135] Step 2:

[0136] The server verifies the received authentication information against its database, and if successful, generates a token that grants access to the virtual reality space and sends it to the terminal.

[0137] Step 3:

[0138] The device logs the user into the virtual reality space based on the token it receives and provides a user interface.

[0139] Step 4:

[0140] The user selects a project within the virtual space and begins creating content. The device continuously sends user interaction data (e.g., drawing actions and object placement) to the server.

[0141] Step 5:

[0142] The server analyzes the received operation data in real time, updates the current content information to other users' devices, and sends it.

[0143] Step 6:

[0144] The device uses its built-in camera and microphone to record the user's facial expressions and voice, and transmits that data to a sensor system for the emotion engine.

[0145] Step 7:

[0146] The server's emotion engine analyzes the user's emotional state and provides the results to the AI ​​agent. Based on the emotion data, the AI ​​agent generates content-related suggestions and feedback.

[0147] Step 8:

[0148] The device presents the user with feedback and suggestions from the server, allowing the user to use them as a reference to proceed with their creative work.

[0149] Step 9:

[0150] When a user finishes creating a project, the device sends all of the project's content data to the server for storage in the database.

[0151] Step 10:

[0152] The server notifies the terminal when saving is complete, and the terminal displays a termination message on the screen to prompt the user to log out safely.

[0153] (Example 2)

[0154] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0155] Conventional collaborative creation systems in virtual reality spaces have struggled to provide user-driven interaction and have been unable to effectively support users' creative activities. Furthermore, properly supporting dynamic communication with other participants in real-time sharing of operational information has also been a challenge.

[0156] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0157] In this invention, the server includes means for receiving authentication information from a user terminal and issuing an authentication code to permit access to a virtual reality space; means for receiving information on digital objects operated by the user within the virtual reality space and updating and transmitting the digital object information to other user terminals in real time; means for analyzing the user's facial expressions and voice data to identify their emotional state; and means for generating emotionally appropriate suggestions and feedback using a generative intelligence model based on the analyzed emotional state and transmitting them to the user terminal. This enables more effective collaborative creation through user emotion-based interaction.

[0158] A "user terminal" is a device that allows a user to access and interact with a virtual reality space.

[0159] "Authentication information" refers to data such as IDs and passwords that are necessary to grant a user access.

[0160] An "authentication code" is a token generated upon successful user authentication, which grants access to the virtual reality space.

[0161] A "virtual reality space" is a three-dimensional simulation space in a digital environment where users can manipulate and create various objects.

[0162] A "digital object" is a data resource that a user manipulates or creates within a virtual reality space.

[0163] "Real-time" refers to instantaneous processing with virtually no delay.

[0164] "Facial expressions and audio data" refers to visual and auditory information acquired to analyze the user's emotions.

[0165] Identifying an "emotional state" refers to the process of classifying and recognizing a user's emotions.

[0166] A "generative intelligence model" is a mathematical model that uses artificial intelligence technology to generate feedback in response to user interaction.

[0167] "Suggestions and feedback" refer to advice and responses provided based on the user's actions and emotional state.

[0168] This invention is a system for realizing user emotion-based interaction in a virtual reality space. The user's terminal first accesses the server by entering authentication information. The terminal transmits the authentication information entered by the user to the server via the internet. The server verifies this authentication information using database management software (e.g., relational database management system). If authentication is successful, the server issues an authentication code to the user and sends it back to the terminal. The user uses this authentication code to log in to the virtual reality space.

[0169] Within the virtual reality space, users can create and edit digital objects. During this process, the device uses sensing devices (e.g., camera, microphone) to capture the user's facial expressions and voice data. This data is sent to a server, which uses emotion recognition algorithms (e.g., artificial intelligence technology for processing voice and images) to identify the user's emotional state in real time.

[0170] The server uses a generative intelligence model (e.g., natural language generation technology) based on the user's emotional state to create suggestions and feedback that are tailored to the user's feelings. This suggestion and feedback is sent to the device and displayed to the user. For example, if the user is showing signs of frustration, the server uses the AI ​​model to generate an encouraging message using a prompt such as, "Please provide advice to help me when I am having difficulty continuing the project."

[0171] As a concrete example, let's say a user is working on designing a prototype. At this time, the camera and microphone on the user's device analyze the user's facial expressions and voice in real time and provide the data to the server. If the emotion engine detects that the user is "enjoying" the design, the server will suggest to other participants, "Let's discuss this design as a group!" In this way, interaction optimized to the user's emotions is achieved.

[0172] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0173] Step 1:

[0174] A user attempts to access a virtual reality space and enters authentication information into their terminal. This information includes a user ID and password. After receiving this information, the terminal sends it to the server. The server receives this input and verifies the authentication information using its database. It executes a database query, and if the user information matches, authentication is successful. If successful, the server generates an authentication code and sends it back to the terminal. This allows the user to log in to the virtual reality space.

[0175] Step 2:

[0176] Users create and edit digital objects in a virtual reality space. During this process, user actions are recorded in real time. The terminal receives user action information as input and sends it to the server. The server receives this data and sends updated digital object information to other users' terminals. Processing of update information using a data structure enables real-time interaction.

[0177] Step 3:

[0178] When a user changes their facial expression or makes a sound during interaction, the device captures that facial expression and audio data using sensing devices. For example, the camera displays the user's face and the microphone picks up sound. The device sends this input data to a server. The server uses an emotion recognition algorithm to analyze the user's emotions from this data. After processing the data and identifying the emotional state, it outputs basic information for responding in accordance with those emotions.

[0179] Step 4:

[0180] Based on the analyzed emotional state, the server uses a generative AI model to generate suggestions and feedback tailored to the user's emotions. For example, it might use the prompt "Generate a motivational message when the user is feeling tired." This feedback, generated using natural language, is sent to the device. The device then presents this feedback to the user, providing information to improve the user experience.

[0181] Step 5:

[0182] Based on the feedback received, users select their next action based on the suggestions and messages presented. If the user re-edits the digital object according to the suggestions, that operation is recorded on the device as new input. In this way, the interactive experience in the virtual reality space continues to progress.

[0183] (Application Example 2)

[0184] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0185] In virtual reality spaces, there is a challenge in achieving effective interaction and collaboration that takes into account the user's emotional state. Furthermore, providing personalized suggestions and feedback based on a user's individual emotional state is not being done effectively. Therefore, there is a need to improve the quality of user interaction and provide a more intuitive and emotionally resonant creative environment.

[0186] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0187] In this invention, the server includes means for receiving authentication information from a user terminal and issuing a token to permit access to a virtual reality space; means for receiving information on content operated by the user within the virtual reality space and updating and transmitting the content information to other user terminals in real time; means for acquiring and analyzing the user's emotional information using emotion recognition technology; means for generating suggestions that are appropriate to the emotional information based on the analyzed emotional information and providing feedback to the user terminal; and means for improving interaction by presenting the analyzed emotional information to other users haptically. As a result, users can enjoy rich interaction with others while receiving suggestions that are adapted to their individual emotions within the virtual reality space.

[0188] A "user terminal" is an electronic device used by a user to input and receive information.

[0189] A "virtual reality space" is a three-dimensional digital space generated by a computer that users can virtually experience.

[0190] A "token" is a digital data item that represents unique identification information generated for authentication and session management.

[0191] "Content information" refers to all digital data manipulated and generated by users within a virtual reality space.

[0192] A "machine learning algorithm" is a computational method for automatically learning patterns from data and making predictions or suggestions.

[0193] "Emotion recognition technology" is a technology that analyzes a user's facial expressions and voice to determine their emotional state.

[0194] "Emotional information" refers to data that indicates the user's current emotions and psychological state.

[0195] "Feedback" refers to information and responses provided in response to a user's actions or circumstances.

[0196] A "data bank" is a digital storage system for systematically preserving information.

[0197] The system for realizing this invention consists of a user terminal, a server, and a virtual reality environment. The user terminal is equipped with a camera and microphone to collect the user's facial expressions and voice. This data is then sent to the server for real-time analysis of the user's emotional information. The server has an analysis module equipped with emotion recognition technology that can analyze the user's emotional state based on the data received from the user. This analysis result is used to generate appropriate feedback and suggestions using a generative AI model. The generated feedback is sent to the user terminal, enabling interaction that matches the emotional information.

[0198] Furthermore, this system has a database (data bank) that stores content information manipulated and generated in the virtual reality space, as well as analyzed emotional information, thereby enabling continuous learning and improving the personalized experience. User operation history and preferences are also stored in this database and used to improve feedback for future use. In addition, sharing emotional information with other users through haptic devices can improve the quality of interaction in the virtual space.

[0199] As a concrete example, when a user is browsing products in a virtual reality space, if the camera detects a smile, the server analyzes that information, and an AI model recommends related products. For example, a prompt message such as, "This product has received high ratings from other customers. You might also be interested in these other products," is generated and presented to the user as a suggestion. In this way, it is possible to make the virtual shopping experience richer and more intuitive by presenting content that is tailored to the user's emotions.

[0200] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0201] Step 1:

[0202] The user terminal uses a camera and microphone to collect user facial expression and audio data. The input is the user's real-time video and audio, and the output is a digital signal to send this data to the server.

[0203] Step 2:

[0204] The server receives facial expression data and voice data sent from the user's terminal. It analyzes the received data using emotion recognition technology to determine the user's emotional state. The input is the user's facial expression and voice data, and the output is the analyzed emotional information.

[0205] Step 3:

[0206] The server uses a generative AI model to generate suggestions and feedback based on the obtained emotional information. The input is the analyzed emotional information, the generative AI model creates appropriate prompt sentences, and the output is the feedback and suggestions sent to the user terminal.

[0207] Step 4:

[0208] The user terminal receives feedback and suggestions from the server and displays them to the user. Input is a prompt from the server, and output is what is displayed to the user. Based on this, the user can adjust their actions in the virtual reality space or make new choices.

[0209] Step 5:

[0210] The server stores the user's operation history and past emotional information in a database, which is then used to improve future interactions. Input consists of user behavior logs and emotional information, while output is an updated database entry based on this data.

[0211] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0212] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0213] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0214] [Second Embodiment]

[0215] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0216] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0217] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0218] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0219] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0220] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0221] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0222] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0223] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0224] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0225] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0226] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0227] This invention aims to build a system that enables collaborative creation by multiple users in a virtual reality space. Specifically, it provides a mechanism that allows users to access the virtual reality space using individual terminals and create and manipulate content in real time.

[0228] When a user connects to a virtual reality space, the terminal first receives the user's authentication information through an input interface. The terminal then sends this information to a server. The server uses this information to consult a database, and if authentication is successful, issues a token granting access. This token is sent to the terminal, and the user uses it to log in to the system.

[0229] Users entering the virtual reality space can begin creating digital content through an interactive interface. They can paint using digital brushes and add music tracks. The terminal monitors the user's actions and sends this information to the server each time. The server, in turn, uses this information to share the same information with other users in the virtual space, allowing all users to share the latest production progress in real time.

[0230] The AI ​​agent is a crucial element of this system. Upon receiving a request from the terminal, the AI ​​agent on the server uses machine learning algorithms to generate suggestions for the user's project and sends that data to the terminal. For example, if the user is creating a painting, the AI ​​agent will suggest various color schemes, expanding the user's options. Similarly, in a music project, it might offer new melody and rhythm ideas.

[0231] This system allows users to engage in creative activities while collaborating closely with others, transcending physical limitations. Furthermore, AI support enables them to gain new inspiration that would not have been possible through traditional methods. As a result, users can efficiently produce more creative and diverse media content.

[0232] The following describes the processing flow.

[0233] Step 1:

[0234] The user launches the application on their device and enters their authentication information on the input screen. The device then sends this information to the server.

[0235] Step 2:

[0236] The server queries the database for the received authentication information and verifies that the information matches. If authentication is successful, it generates a token and sends it to the terminal.

[0237] Step 3:

[0238] The terminal uses the received token to log the user into the virtual reality space and fully load the work interface.

[0239] Step 4:

[0240] The user begins creating a project in a virtual reality space, for example, by selecting a tool to draw a picture and starting to operate it. The device continuously sends the operation data to the server.

[0241] Step 5:

[0242] The server analyzes the operation data received in real time and sends data to other participating users' devices to reflect the latest status.

[0243] Step 6:

[0244] When a user requests AI assistance during the creative process, the device sends the request to the server. The server then invokes the AI ​​agent.

[0245] Step 7:

[0246] The AI ​​agent uses machine learning algorithms to generate creative suggestions for the user's project (for example, new color combinations or musical melodies) and returns that data to the device.

[0247] Step 8:

[0248] The device presents the user with suggestions from an AI agent, and the user can choose whether or not to accept those suggestions.

[0249] Step 9:

[0250] When a user finishes a project, the device sends all content information to the server, which then stores that information in a database.

[0251] Step 10:

[0252] The server notifies the terminal that saving is complete, and the terminal displays a termination message to the user, safely logging them out of the virtual reality space.

[0253] (Example 1)

[0254] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0255] In modern virtual reality environments, real-time information sharing is difficult when multiple users collaborate on content simultaneously. Furthermore, there are insufficient means to provide effective suggestions to support each user's creative activities. Additionally, the provision of customized feedback based on individual user preferences and past activity history is inadequate. Therefore, these challenges need to be effectively addressed.

[0256] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0257] In this invention, the server includes means for receiving authentication information from a user device and issuing a token to grant access to a virtual reality environment; means for receiving information on digital content operated by the user within the virtual reality environment and updating and transmitting the digital content information to other user devices in real time; and means for generating suggestions using machine learning technology based on a request from the user and transmitting them to the user device. This enables users to collaborate smoothly in the virtual reality environment and receive creative suggestions and customized feedback using AI technology.

[0258] A "user device" is an information processing device that accesses a virtual reality environment and sends and receives user operations and inputs.

[0259] A "virtual reality environment" is a three-dimensional space created using computer technology, in which users can visually and experientially explore and interact with a virtual world.

[0260] "Authentication information" refers to data used to verify a user's identity, and typically includes a username and password.

[0261] A "token" is a temporary digital key issued after successful user authentication, and it functions as identification information for users to access the system.

[0262] "Digital content" refers to data, including visual, auditory, and other information, that users generate, manipulate, and share within a virtual reality environment.

[0263] "Machine learning technology" is a technique that automatically learns patterns and rules from data and generates predictions and suggestions based on them.

[0264] "Feedback" refers to advice and responses provided based on the user's activity history and preferences, and includes information to support the user's activities.

[0265] The "information storage section" is a database or storage area for securely storing digital data generated within the system.

[0266] This invention relates to a system that allows users to collaboratively generate and edit digital content in a virtual reality environment. Users can access the virtual reality environment using individual user devices and operate it in real time.

[0267] The server acts as the central control unit of this system, using authentication information received from the user's device to control user access. After successful authentication, the server issues an access token, granting access to the virtual reality environment. User devices typically include, but are not limited to, VR headsets and controllers.

[0268] The server also receives operation information for digital content transmitted from user devices and synchronizes that data with other user devices. This allows multiple users to work collaboratively in the virtual reality environment simultaneously.

[0269] Furthermore, the AI ​​system running on the server utilizes generative AI models and leverages machine learning techniques to provide suggestions for content created by the user. These suggestions are generated based on the user's requests and support the creative process. Specifically, it can suggest different color schemes to a user creating a painting, or present new melody lines to a user creating music.

[0270] For example, if a user is creating a landscape painting in a virtual reality space, the AI ​​system can recommend a "color combination that evokes the image of a sunset." Similarly, if another user is working on a music project, it can suggest trying a "jazz-style rhythm pattern."

[0271] In this system, a concrete example of a prompt would be: "When a user creates digital content in a virtual reality space, what kind of suggestions should the AI ​​agent make? For example, what color scheme could it suggest for a landscape painting?"

[0272] In this way, users can go beyond the confines of virtual reality, collaborate with other users on creative activities, and gain new inspiration with the support of AI.

[0273] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0274] Step 1:

[0275] The user enters authentication information at the login interface using their device. The terminal receives this input information and sends it to the server. The server processes the received authentication information and compares it with the database. Based on this data processing, the server determines whether to issue an access token. If successful, it generates an access token and sends it to the terminal.

[0276] Step 2:

[0277] The user logs into the virtual reality environment using an access token. The device verifies the token and establishes a connection with the server. The server validates this token and starts the user's session. This allows the user to access the virtual reality environment.

[0278] Step 3:

[0279] Users create or edit digital content using a VR control interface. The terminal detects user actions in real time and collects the action data. This action data is temporarily processed and compiled on the terminal before being sent to the server.

[0280] Step 4:

[0281] The server uses the received operation data to update the current state of the content in the virtual reality environment. The server distributes the updated data to all other user devices to synchronize the latest state on everyone's screen. Through this synchronization process, users can view the changes made by other collaborators in real time.

[0282] Step 5:

[0283] When a user requests an AI proposal, the terminal sends the request to the server. The AI agent in the server activates the generation AI model and uses machine learning algorithms to generate a proposal. For example, when a user is trying to add color to a painting, the AI agent proposes "a harmonious color combination in the cool color palette".

[0284] Step 6:

[0285] The generated AI proposal is sent from the server to the terminal. The terminal visually presents this to the user and enables the user to select whether to apply the proposal. The user can review the proposal, adopt it if necessary, and continue their creative activity.

[0286] (Application Example 1)

[0287] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0288] In recent years, collaborative creation in virtual environments has attracted attention. However, there are various problems in enabling multiple users to carry out creative activities in real-time collaboration. In particular, it is difficult to achieve smooth information sharing and proposal offering among users and efficient collaborative work through virtual environments. An object of the present invention is to solve these problems and provide means that enable users to collaborate more creatively and efficiently.

[0289] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0290] In this invention, the server includes means for receiving authentication data from a user terminal and issuing an identifier to permit access to a virtual environment; means for receiving information on data operated by the user within the virtual environment and updating and transmitting said data information to other user terminals in real time; and means for generating suggestions using machine learning techniques based on requests from users and transmitting them to user terminals. This enables multiple users to smoothly share information and efficiently collaborate on projects within the virtual environment while receiving suggestions from AI.

[0291] A "user terminal" refers to a device used by a user to access and operate a virtual environment, such as a smartphone or head-mounted display.

[0292] "Authentication data" refers to information necessary for a user to be granted access to the virtual environment, and includes login information and identification information.

[0293] A "virtual environment" refers to a three-dimensional digital space built on a computer that users can access and operate in real time.

[0294] An "identifier" refers to a unique code or token issued for the purpose of granting access to a virtual environment.

[0295] "Data information" refers to information related to content and digital objects that users interact with within the virtual environment.

[0296] "Machine learning methods" refer to algorithms and methodologies used by AI agents to generate suggestions that meet user requirements.

[0297] "Proposal generation" refers to the process by which an AI agent creates and provides new ideas and optimization suggestions based on the user's actions and requests.

[0298] "User terminal" refers to a device connected to a virtual environment and used to receive and display information within that environment.

[0299] To implement this invention, the server receives authentication data from the user terminal and issues an identifier. This grants the user access to the virtual environment. When the user manipulates digital objects or content within the virtual environment, the content is transmitted to the server in real time. The server receives this data and immediately transmits the update information to other users' terminals.

[0300] The server utilizes TensorFlow to apply machine learning based on user requests and generate suggestions. For example, if a user is creating artwork, it can provide suggestions on color selection and design optimization. These suggestions are sent to the user's device, helping them improve the quality of their creative work.

[0301] As a concrete example, suppose a user is creating a new painting in a virtual art gallery. In this case, the server, through an AI agent, provides suggestions for color palettes and composition, and has the functionality to share the progress of the work with other collaborators in real time.

[0302] Examples of prompts for a generative AI model:

[0303] "Generate new color suggestions for users to collaboratively create art in a virtual reality space."

[0304] Users can easily experience these processes using smartphones or head-mounted displays. This system supports real-time collaborative creation and enables creative activities that transcend physical limitations.

[0305] The flow of the specific process in Application Example 1 will be described with reference to FIG. 12.

[0306] Step 1:

[0307] When the user attempts to access the virtual environment using the terminal, the terminal sends authentication data such as the username and password to the server. The server receives this, checks it against the database, and if the authentication is successful, generates an identifier and sends it to the terminal. This identifier becomes the key for the user to access the virtual environment.

[0308] Step 2:

[0309] When the user operates a digital object within the virtual environment, the terminal sends the operation details to the server. The server receives this information in real time and transmits it as data processing to all other user terminals as an update. As a result, other users can also experience the changes in the environment almost simultaneously.

[0310] Step 3:

[0311] When the user sends a specific request to the server, the server uses TensorFlow to perform machine learning and generates a proposal based on that request. For example, in the case of an art piece, the server makes proposals for available colors and compositions. This process involves the AI performing data calculations on the input request data and outputting an optimal proposal. [[ID=Z7]]

[0312] Step 4:

[0313] The generated proposal is sent from the server to the user's terminal. The terminal receives this proposal and can display it to the user for use in the creative activity. The user can continue the work referring to the proposal, and if further operations are performed, the information sharing process from Step 2 will be performed again.

[0314] This process allows users to continuously receive new suggestions and engage in creative activities together with many other users.

[0315] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0316] This invention provides a system that supports efficient collaborative creation by multiple users in a virtual reality space, and in particular, by incorporating an emotion engine, it enables interaction that utilizes the recognition of users' emotions.

[0317] When a user accesses a virtual reality space, the device receives the user's authentication information and sends it to the server. The server uses the authentication information to look up information in a database, verifies that the access is legitimate, and then issues a token. This token is returned to the device, and the user uses this token to log in to the virtual reality space.

[0318] Within the virtual reality space, users are provided with an environment where they can manipulate and create various digital content. The terminal continuously collects user activity information in real time. This data is sent to a server, which then shares updated information with other participating users, facilitating smooth collaboration.

[0319] The emotion engine analyzes the user's emotions in real time from their facial expressions and voice. The device collects the user's emotion data through its camera and microphone and sends it to the server. The emotion engine on the server analyzes this data and determines the user's emotional state. Based on this information, the server uses an AI agent to generate suggestions and feedback appropriate to the user's emotions and provides them to the device.

[0320] For example, if a user is feeling discouraged with a project, the emotion engine detects this and the AI ​​agent generates supportive suggestions and tone-adjusted messages to motivate them. This allows the user to continue creating in an environment that fosters positive emotions.

[0321] Furthermore, the emotion engine enriches user interaction; for example, displaying a user's emotional state allows other users to communicate accordingly. This dynamic feedback loop deepens mutual understanding among users and improves the quality of collaborative work.

[0322] With a system configured in this way, creative activities in virtual reality space can be conducted in a more intuitive and emotionally resonant manner, allowing users to gain a new creative experience.

[0323] The following describes the processing flow.

[0324] Step 1:

[0325] The user launches the virtual reality application using their device and enters their authentication information on the login screen. The device then sends this information to the server.

[0326] Step 2:

[0327] The server verifies the received authentication information against its database, and if successful, generates a token that grants access to the virtual reality space and sends it to the terminal.

[0328] Step 3:

[0329] The device logs the user into the virtual reality space based on the token it receives and provides a user interface.

[0330] Step 4:

[0331] The user selects a project within the virtual space and begins creating content. The device continuously sends user interaction data (e.g., drawing actions and object placement) to the server.

[0332] Step 5:

[0333] The server analyzes the received operation data in real time, updates the current content information to other users' devices, and sends it.

[0334] Step 6:

[0335] The device uses its built-in camera and microphone to record the user's facial expressions and voice, and transmits that data to a sensor system for the emotion engine.

[0336] Step 7:

[0337] The server's emotion engine analyzes the user's emotional state and provides the results to the AI ​​agent. Based on the emotion data, the AI ​​agent generates content-related suggestions and feedback.

[0338] Step 8:

[0339] The device presents the user with feedback and suggestions from the server, allowing the user to use them as a reference to proceed with their creative work.

[0340] Step 9:

[0341] When a user finishes creating a project, the device sends all of the project's content data to the server for storage in the database.

[0342] Step 10:

[0343] The server notifies the terminal when saving is complete, and the terminal displays a termination message on the screen to prompt the user to log out safely.

[0344] (Example 2)

[0345] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0346] Conventional collaborative creation systems in virtual reality spaces have struggled to provide user-driven interaction and have been unable to effectively support users' creative activities. Furthermore, properly supporting dynamic communication with other participants in real-time sharing of operational information has also been a challenge.

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

[0348] In this invention, the server includes means for receiving authentication information from a user terminal and issuing an authentication code to permit access to a virtual reality space; means for receiving information on digital objects operated by the user within the virtual reality space and updating and transmitting the digital object information to other user terminals in real time; means for analyzing the user's facial expressions and voice data to identify their emotional state; and means for generating emotionally appropriate suggestions and feedback using a generative intelligence model based on the analyzed emotional state and transmitting them to the user terminal. This enables more effective collaborative creation through user emotion-based interaction.

[0349] A "user terminal" is a device that allows a user to access and interact with a virtual reality space.

[0350] "Authentication information" refers to data such as IDs and passwords that are necessary to grant a user access.

[0351] An "authentication code" is a token generated upon successful user authentication, which grants access to the virtual reality space.

[0352] A "virtual reality space" is a three-dimensional simulation space in a digital environment where users can manipulate and create various objects.

[0353] A "digital object" is a data resource that a user manipulates or creates within a virtual reality space.

[0354] "Real-time" refers to instantaneous processing with virtually no delay.

[0355] "Facial expressions and audio data" refers to visual and auditory information acquired to analyze the user's emotions.

[0356] Identifying an "emotional state" refers to the process of classifying and recognizing a user's emotions.

[0357] A "generative intelligence model" is a mathematical model that uses artificial intelligence technology to generate feedback in response to user interaction.

[0358] "Suggestions and feedback" refer to advice and responses provided based on the user's actions and emotional state.

[0359] This invention is a system for realizing user emotion-based interaction in a virtual reality space. The user's terminal first accesses the server by entering authentication information. The terminal transmits the authentication information entered by the user to the server via the internet. The server verifies this authentication information using database management software (e.g., relational database management system). If authentication is successful, the server issues an authentication code to the user and sends it back to the terminal. The user uses this authentication code to log in to the virtual reality space.

[0360] Within the virtual reality space, users can create and edit digital objects. During this process, the device uses sensing devices (e.g., camera, microphone) to capture the user's facial expressions and voice data. This data is sent to a server, which uses emotion recognition algorithms (e.g., artificial intelligence technology for processing voice and images) to identify the user's emotional state in real time.

[0361] The server uses a generative intelligence model (e.g., natural language generation technology) based on the user's emotional state to create suggestions and feedback that are tailored to the user's feelings. This suggestion and feedback is sent to the device and displayed to the user. For example, if the user is showing signs of frustration, the server uses the AI ​​model to generate an encouraging message using a prompt such as, "Please provide advice to help me when I am having difficulty continuing the project."

[0362] As a concrete example, let's say a user is working on designing a prototype. At this time, the camera and microphone on the user's device analyze the user's facial expressions and voice in real time and provide the data to the server. If the emotion engine detects that the user is "enjoying" the design, the server will suggest to other participants, "Let's discuss this design as a group!" In this way, interaction optimized to the user's emotions is achieved.

[0363] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0364] Step 1:

[0365] A user attempts to access a virtual reality space and enters authentication information into their terminal. This information includes a user ID and password. After receiving this information, the terminal sends it to the server. The server receives this input and verifies the authentication information using its database. It executes a database query, and if the user information matches, authentication is successful. If successful, the server generates an authentication code and sends it back to the terminal. This allows the user to log in to the virtual reality space.

[0366] Step 2:

[0367] Users create and edit digital objects in a virtual reality space. During this process, user actions are recorded in real time. The terminal receives user action information as input and sends it to the server. The server receives this data and sends updated digital object information to other users' terminals. Processing of update information using a data structure enables real-time interaction.

[0368] Step 3:

[0369] When a user changes their facial expression or makes a sound during interaction, the device captures that facial expression and audio data using sensing devices. For example, the camera displays the user's face and the microphone picks up sound. The device sends this input data to a server. The server uses an emotion recognition algorithm to analyze the user's emotions from this data. After processing the data and identifying the emotional state, it outputs basic information for responding in accordance with those emotions.

[0370] Step 4:

[0371] Based on the analyzed emotional state, the server uses a generative AI model to generate suggestions and feedback tailored to the user's emotions. For example, it might use the prompt "Generate a motivational message when the user is feeling tired." This feedback, generated using natural language, is sent to the device. The device then presents this feedback to the user, providing information to improve the user experience.

[0372] Step 5:

[0373] Based on the feedback received, users select their next action based on the suggestions and messages presented. If the user re-edits the digital object according to the suggestions, that operation is recorded on the device as new input. In this way, the interactive experience in the virtual reality space continues to progress.

[0374] (Application Example 2)

[0375] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0376] In virtual reality spaces, there is a challenge in achieving effective interaction and collaboration that takes into account the user's emotional state. Furthermore, providing personalized suggestions and feedback based on a user's individual emotional state is not being done effectively. Therefore, there is a need to improve the quality of user interaction and provide a more intuitive and emotionally resonant creative environment.

[0377] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0378] In this invention, the server includes means for receiving authentication information from a user terminal and issuing a token to permit access to a virtual reality space; means for receiving information on content operated by the user within the virtual reality space and updating and transmitting the content information to other user terminals in real time; means for acquiring and analyzing the user's emotional information using emotion recognition technology; means for generating suggestions that are appropriate to the emotional information based on the analyzed emotional information and providing feedback to the user terminal; and means for improving interaction by presenting the analyzed emotional information to other users haptically. As a result, users can enjoy rich interaction with others while receiving suggestions that are adapted to their individual emotions within the virtual reality space.

[0379] A "user terminal" is an electronic device used by a user to input and receive information.

[0380] A "virtual reality space" is a three-dimensional digital space generated by a computer that users can virtually experience.

[0381] A "token" is a digital data item that represents unique identification information generated for authentication and session management.

[0382] "Content information" refers to all digital data manipulated and generated by users within a virtual reality space.

[0383] A "machine learning algorithm" is a computational method for automatically learning patterns from data and making predictions or suggestions.

[0384] "Emotion recognition technology" is a technology that analyzes a user's facial expressions and voice to determine their emotional state.

[0385] "Emotional information" refers to data that indicates the user's current emotions and psychological state.

[0386] "Feedback" refers to information and responses provided in response to a user's actions or circumstances.

[0387] A "data bank" is a digital storage system for systematically preserving information.

[0388] The system for realizing this invention consists of a user terminal, a server, and a virtual reality environment. The user terminal is equipped with a camera and microphone to collect the user's facial expressions and voice. This data is then sent to the server for real-time analysis of the user's emotional information. The server has an analysis module equipped with emotion recognition technology that can analyze the user's emotional state based on the data received from the user. This analysis result is used to generate appropriate feedback and suggestions using a generative AI model. The generated feedback is sent to the user terminal, enabling interaction that matches the emotional information.

[0389] Furthermore, this system has a database (data bank) that stores content information manipulated and generated in the virtual reality space, as well as analyzed emotional information, thereby enabling continuous learning and improving the personalized experience. User operation history and preferences are also stored in this database and used to improve feedback for future use. In addition, sharing emotional information with other users through haptic devices can improve the quality of interaction in the virtual space.

[0390] As a concrete example, when a user is browsing products in a virtual reality space, if the camera detects a smile, the server analyzes that information, and an AI model recommends related products. For example, a prompt message such as, "This product has received high ratings from other customers. You might also be interested in these other products," is generated and presented to the user as a suggestion. In this way, it is possible to make the virtual shopping experience richer and more intuitive by presenting content that is tailored to the user's emotions.

[0391] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0392] Step 1:

[0393] The user terminal uses a camera and microphone to collect user facial expression and audio data. The input is the user's real-time video and audio, and the output is a digital signal to send this data to the server.

[0394] Step 2:

[0395] The server receives facial expression data and voice data sent from the user's terminal. It analyzes the received data using emotion recognition technology to determine the user's emotional state. The input is the user's facial expression and voice data, and the output is the analyzed emotional information.

[0396] Step 3:

[0397] The server uses a generative AI model to generate suggestions and feedback based on the obtained emotional information. The input is the analyzed emotional information, the generative AI model creates appropriate prompt sentences, and the output is the feedback and suggestions sent to the user terminal.

[0398] Step 4:

[0399] The user terminal receives feedback and suggestions from the server and displays them to the user. Input is a prompt from the server, and output is what is displayed to the user. Based on this, the user can adjust their actions in the virtual reality space or make new choices.

[0400] Step 5:

[0401] The server stores the user's operation history and past emotional information in a database, which is then used to improve future interactions. Input consists of user behavior logs and emotional information, while output is an updated database entry based on this data.

[0402] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0403] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0404] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0405] [Third Embodiment]

[0406] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0407] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0408] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0409] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0410] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0411] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0412] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0413] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0414] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0415] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0416] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0417] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0418] This invention aims to build a system that enables collaborative creation by multiple users in a virtual reality space. Specifically, it provides a mechanism that allows users to access the virtual reality space using individual terminals and create and manipulate content in real time.

[0419] When a user connects to a virtual reality space, the terminal first receives the user's authentication information through an input interface. The terminal then sends this information to a server. The server uses this information to consult a database, and if authentication is successful, issues a token granting access. This token is sent to the terminal, and the user uses it to log in to the system.

[0420] Users entering the virtual reality space can begin creating digital content through an interactive interface. They can paint using digital brushes and add music tracks. The terminal monitors the user's actions and sends this information to the server each time. The server, in turn, uses this information to share the same information with other users in the virtual space, allowing all users to share the latest production progress in real time.

[0421] The AI ​​agent is a crucial element of this system. Upon receiving a request from the terminal, the AI ​​agent on the server uses machine learning algorithms to generate suggestions for the user's project and sends that data to the terminal. For example, if the user is creating a painting, the AI ​​agent will suggest various color schemes, expanding the user's options. Similarly, in a music project, it might offer new melody and rhythm ideas.

[0422] This system allows users to engage in creative activities while collaborating closely with others, transcending physical limitations. Furthermore, AI support enables them to gain new inspiration that would not have been possible through traditional methods. As a result, users can efficiently produce more creative and diverse media content.

[0423] The following describes the processing flow.

[0424] Step 1:

[0425] The user launches the application on their device and enters their authentication information on the input screen. The device then sends this information to the server.

[0426] Step 2:

[0427] The server queries the database for the received authentication information and verifies that the information matches. If authentication is successful, it generates a token and sends it to the terminal.

[0428] Step 3:

[0429] The terminal uses the received token to log the user into the virtual reality space and fully load the work interface.

[0430] Step 4:

[0431] The user begins creating a project in a virtual reality space, for example, by selecting a tool to draw a picture and starting to operate it. The device continuously sends the operation data to the server.

[0432] Step 5:

[0433] The server analyzes the operation data received in real time and sends data to other participating users' devices to reflect the latest status.

[0434] Step 6:

[0435] When a user requests AI assistance during the creative process, the device sends the request to the server. The server then invokes the AI ​​agent.

[0436] Step 7:

[0437] The AI ​​agent uses machine learning algorithms to generate creative suggestions for the user's project (for example, new color combinations or musical melodies) and returns that data to the device.

[0438] Step 8:

[0439] The device presents the user with suggestions from an AI agent, and the user can choose whether or not to accept those suggestions.

[0440] Step 9:

[0441] When a user finishes a project, the device sends all content information to the server, which then stores that information in a database.

[0442] Step 10:

[0443] The server notifies the terminal that saving is complete, and the terminal displays a termination message to the user, safely logging them out of the virtual reality space.

[0444] (Example 1)

[0445] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0446] In modern virtual reality environments, real-time information sharing is difficult when multiple users collaborate on content simultaneously. Furthermore, there are insufficient means to provide effective suggestions to support each user's creative activities. Additionally, the provision of customized feedback based on individual user preferences and past activity history is inadequate. Therefore, these challenges need to be effectively addressed.

[0447] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0448] In this invention, the server includes means for receiving authentication information from a user device and issuing a token to grant access to a virtual reality environment; means for receiving information on digital content operated by the user within the virtual reality environment and updating and transmitting the digital content information to other user devices in real time; and means for generating suggestions using machine learning technology based on a request from the user and transmitting them to the user device. This enables users to collaborate smoothly in the virtual reality environment and receive creative suggestions and customized feedback using AI technology.

[0449] A "user device" is an information processing device that accesses a virtual reality environment and sends and receives user operations and inputs.

[0450] A "virtual reality environment" is a three-dimensional space created using computer technology, in which users can visually and experientially explore and interact with a virtual world.

[0451] "Authentication information" refers to data used to verify a user's identity, and typically includes a username and password.

[0452] A "token" is a temporary digital key issued after successful user authentication, and it functions as identification information for users to access the system.

[0453] "Digital content" refers to data, including visual, auditory, and other information, that users generate, manipulate, and share within a virtual reality environment.

[0454] "Machine learning technology" is a technique that automatically learns patterns and rules from data and generates predictions and suggestions based on them.

[0455] "Feedback" refers to advice and responses provided based on the user's activity history and preferences, and includes information to support the user's activities.

[0456] The "information storage section" is a database or storage area for securely storing digital data generated within the system.

[0457] This invention relates to a system that allows users to collaboratively generate and edit digital content in a virtual reality environment. Users can access the virtual reality environment using individual user devices and operate it in real time.

[0458] The server acts as the central control unit of this system, using authentication information received from the user's device to control user access. After successful authentication, the server issues an access token, granting access to the virtual reality environment. User devices typically include, but are not limited to, VR headsets and controllers.

[0459] The server also receives operation information for digital content transmitted from user devices and synchronizes that data with other user devices. This allows multiple users to work collaboratively in the virtual reality environment simultaneously.

[0460] Furthermore, the AI ​​system running on the server utilizes generative AI models and leverages machine learning techniques to provide suggestions for content created by the user. These suggestions are generated based on the user's requests and support the creative process. Specifically, it can suggest different color schemes to a user creating a painting, or present new melody lines to a user creating music.

[0461] For example, if a user is creating a landscape painting in a virtual reality space, the AI ​​system can recommend a "color combination that evokes the image of a sunset." Similarly, if another user is working on a music project, it can suggest trying a "jazz-style rhythm pattern."

[0462] In this system, a concrete example of a prompt would be: "When a user creates digital content in a virtual reality space, what kind of suggestions should the AI ​​agent make? For example, what color scheme could it suggest for a landscape painting?"

[0463] In this way, users can go beyond the confines of virtual reality, collaborate with other users on creative activities, and gain new inspiration with the support of AI.

[0464] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0465] Step 1:

[0466] The user enters authentication information at the login interface using their device. The terminal receives this input information and sends it to the server. The server processes the received authentication information and compares it with the database. Based on this data processing, the server determines whether to issue an access token. If successful, it generates an access token and sends it to the terminal.

[0467] Step 2:

[0468] The user logs into the virtual reality environment using an access token. The device verifies the token and establishes a connection with the server. The server validates this token and starts the user's session. This allows the user to access the virtual reality environment.

[0469] Step 3:

[0470] Users create or edit digital content using a VR control interface. The terminal detects user actions in real time and collects the action data. This action data is temporarily processed and compiled on the terminal before being sent to the server.

[0471] Step 4:

[0472] The server uses the received operation data to update the current state of the content within the virtual reality environment. The server distributes the updated data to all other user devices, synchronizing the latest state on everyone's screens. This synchronization process allows users to see changes made by other collaborators in real time.

[0473] Step 5:

[0474] When a user requests an AI suggestion, the device sends the request to the server. The AI ​​agent on the server activates a generative AI model and uses machine learning algorithms to generate suggestions. For example, if the user is trying to add color to a painting, the AI ​​agent might suggest "cool, harmonious shades."

[0475] Step 6:

[0476] The AI-generated suggestions are sent from the server to the terminal. The terminal visually presents these to the user, allowing them to choose whether to apply the suggestions. The user can then review the suggestions, adopt them as needed, and continue their creative work.

[0477] (Application Example 1)

[0478] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0479] In recent years, collaborative creation in virtual environments has attracted attention, but various problems exist in order for multiple users to collaborate and engage in creative activities in real time. In particular, it is difficult to achieve smooth information sharing and proposal provision among users, and efficient collaborative work through the virtual environment. The present invention aims to solve these problems and provide a means for users to engage in more creative and efficient collaborative creation.

[0480] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0481] In this invention, the server includes means for receiving authentication data from a user terminal and issuing an identifier to permit access to a virtual environment; means for receiving information on data operated by the user within the virtual environment and updating and transmitting said data information to other user terminals in real time; and means for generating suggestions using machine learning techniques based on requests from users and transmitting them to user terminals. This enables multiple users to smoothly share information and efficiently collaborate on projects within the virtual environment while receiving suggestions from AI.

[0482] A "user terminal" refers to a device used by a user to access and operate a virtual environment, such as a smartphone or head-mounted display.

[0483] "Authentication data" refers to information necessary for a user to be granted access to the virtual environment, and includes login information and identification information.

[0484] A "virtual environment" refers to a three-dimensional digital space built on a computer that users can access and operate in real time.

[0485] An "identifier" refers to a unique code or token issued for the purpose of granting access to a virtual environment.

[0486] "Data information" refers to information related to content and digital objects that users interact with within the virtual environment.

[0487] "Machine learning methods" refer to algorithms and methodologies used by AI agents to generate suggestions that meet user requirements.

[0488] "Proposal generation" refers to the process by which an AI agent creates and provides new ideas and optimization suggestions based on the user's actions and requests.

[0489] "User terminal" refers to a device connected to a virtual environment and used to receive and display information within that environment.

[0490] To implement this invention, the server receives authentication data from the user terminal and issues an identifier. This grants the user access to the virtual environment. When the user manipulates digital objects or content within the virtual environment, the content is transmitted to the server in real time. The server receives this data and immediately transmits the update information to other users' terminals.

[0491] The server utilizes TensorFlow to apply machine learning based on user requests and generate suggestions. For example, if a user is creating artwork, it can provide suggestions on color selection and design optimization. These suggestions are sent to the user's device, helping them improve the quality of their creative work.

[0492] As a concrete example, suppose a user is creating a new painting in a virtual art gallery. In this case, the server, through an AI agent, provides suggestions for color palettes and composition, and has the functionality to share the progress of the work with other collaborators in real time.

[0493] Examples of prompts for a generative AI model:

[0494] "Generate new color suggestions for users to collaboratively create art in a virtual reality space."

[0495] Users can easily experience these processes using smartphones or head-mounted displays. This system supports real-time collaborative creation and enables creative activities that transcend physical limitations.

[0496] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0497] Step 1:

[0498] When a user attempts to access a virtual environment from their device, the device sends authentication data, such as a username and password, to the server. The server receives this data, compares it against its database, and if authentication is successful, generates an identifier and sends it to the device. This identifier serves as the key for the user to access the virtual environment.

[0499] Step 2:

[0500] When a user manipulates a digital object within the virtual environment, the terminal sends the details of that manipulation to the server. The server receives this information in real time and, as data processing, transmits it as an update to all other user terminals. This allows other users to experience the changes in the environment almost simultaneously.

[0501] Step 3:

[0502] When a user sends a specific request to the server, the server uses TensorFlow to perform machine learning and generate suggestions based on that request. For example, in the case of an artwork, the server would suggest available colors and compositions. This process involves the AI ​​performing data calculations on the input request data and outputting the optimal suggestion.

[0503] Step 4:

[0504] The generated suggestions are sent from the server to the user's device. The device receives these suggestions and displays them to the user, allowing them to use them in their creative process. The user can continue working on their project using the suggestions as a reference, and if further actions are taken, the information sharing process will resume from step 2.

[0505] This process allows users to continuously receive new suggestions and engage in creative activities together with many other users.

[0506] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0507] This invention provides a system that supports efficient collaborative creation by multiple users in a virtual reality space, and in particular, by incorporating an emotion engine, it enables interaction that utilizes the recognition of users' emotions.

[0508] When a user accesses a virtual reality space, the device receives the user's authentication information and sends it to the server. The server uses the authentication information to look up information in a database, verifies that the access is legitimate, and then issues a token. This token is returned to the device, and the user uses this token to log in to the virtual reality space.

[0509] Within the virtual reality space, users are provided with an environment where they can manipulate and create various digital content. The terminal continuously collects user activity information in real time. This data is sent to a server, which then shares updated information with other participating users, facilitating smooth collaboration.

[0510] The emotion engine analyzes the user's emotions in real time from their facial expressions and voice. The device collects the user's emotion data through its camera and microphone and sends it to the server. The emotion engine on the server analyzes this data and determines the user's emotional state. Based on this information, the server uses an AI agent to generate suggestions and feedback appropriate to the user's emotions and provides them to the device.

[0511] For example, if a user is feeling discouraged with a project, the emotion engine detects this and the AI ​​agent generates supportive suggestions and tone-adjusted messages to motivate them. This allows the user to continue creating in an environment that fosters positive emotions.

[0512] Furthermore, the emotion engine enriches user interaction; for example, displaying a user's emotional state allows other users to communicate accordingly. This dynamic feedback loop deepens mutual understanding among users and improves the quality of collaborative work.

[0513] With a system configured in this way, creative activities in virtual reality space can be conducted in a more intuitive and emotionally resonant manner, allowing users to gain a new creative experience.

[0514] The following describes the processing flow.

[0515] Step 1:

[0516] The user launches the virtual reality application using their device and enters their authentication information on the login screen. The device then sends this information to the server.

[0517] Step 2:

[0518] The server verifies the received authentication information against its database, and if successful, generates a token that grants access to the virtual reality space and sends it to the terminal.

[0519] Step 3:

[0520] The device logs the user into the virtual reality space based on the token it receives and provides a user interface.

[0521] Step 4:

[0522] The user selects a project within the virtual space and begins creating content. The device continuously sends user interaction data (e.g., drawing actions and object placement) to the server.

[0523] Step 5:

[0524] The server analyzes the received operation data in real time, updates the current content information to other users' devices, and sends it.

[0525] Step 6:

[0526] The device uses its built-in camera and microphone to record the user's facial expressions and voice, and transmits that data to a sensor system for the emotion engine.

[0527] Step 7:

[0528] The server's emotion engine analyzes the user's emotional state and provides the results to the AI ​​agent. Based on the emotion data, the AI ​​agent generates content-related suggestions and feedback.

[0529] Step 8:

[0530] The device presents the user with feedback and suggestions from the server, allowing the user to use them as a reference to proceed with their creative work.

[0531] Step 9:

[0532] When a user finishes creating a project, the device sends all of the project's content data to the server for storage in the database.

[0533] Step 10:

[0534] The server notifies the terminal when saving is complete, and the terminal displays a termination message on the screen to prompt the user to log out safely.

[0535] (Example 2)

[0536] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0537] Conventional collaborative creation systems in virtual reality spaces have struggled to provide user-driven interaction and have been unable to effectively support users' creative activities. Furthermore, properly supporting dynamic communication with other participants in real-time sharing of operational information has also been a challenge.

[0538] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0539] In this invention, the server includes means for receiving authentication information from a user terminal and issuing an authentication code to permit access to a virtual reality space; means for receiving information on digital objects operated by the user within the virtual reality space and updating and transmitting the digital object information to other user terminals in real time; means for analyzing the user's facial expressions and voice data to identify their emotional state; and means for generating emotionally appropriate suggestions and feedback using a generative intelligence model based on the analyzed emotional state and transmitting them to the user terminal. This enables more effective collaborative creation through user emotion-based interaction.

[0540] A "user terminal" is a device that allows a user to access and interact with a virtual reality space.

[0541] "Authentication information" refers to data such as IDs and passwords that are necessary to grant a user access.

[0542] An "authentication code" is a token generated upon successful user authentication, which grants access to the virtual reality space.

[0543] A "virtual reality space" is a three-dimensional simulation space in a digital environment where users can manipulate and create various objects.

[0544] A "digital object" is a data resource that a user manipulates or creates within a virtual reality space.

[0545] "Real-time" refers to instantaneous processing with virtually no delay.

[0546] "Facial expressions and audio data" refers to visual and auditory information acquired to analyze the user's emotions.

[0547] Identifying an "emotional state" refers to the process of classifying and recognizing a user's emotions.

[0548] A "generative intelligence model" is a mathematical model that uses artificial intelligence technology to generate feedback in response to user interaction.

[0549] "Suggestions and feedback" refer to advice and responses provided based on the user's actions and emotional state.

[0550] This invention is a system for realizing user emotion-based interaction in a virtual reality space. The user's terminal first accesses the server by entering authentication information. The terminal transmits the authentication information entered by the user to the server via the internet. The server verifies this authentication information using database management software (e.g., relational database management system). If authentication is successful, the server issues an authentication code to the user and sends it back to the terminal. The user uses this authentication code to log in to the virtual reality space.

[0551] Within the virtual reality space, users can create and edit digital objects. During this process, the device uses sensing devices (e.g., camera, microphone) to capture the user's facial expressions and voice data. This data is sent to a server, which uses emotion recognition algorithms (e.g., artificial intelligence technology for processing voice and images) to identify the user's emotional state in real time.

[0552] The server uses a generative intelligence model (e.g., natural language generation technology) based on the user's emotional state to create suggestions and feedback that are tailored to the user's feelings. This suggestion and feedback is sent to the device and displayed to the user. For example, if the user is showing signs of frustration, the server uses the AI ​​model to generate an encouraging message using a prompt such as, "Please provide advice to help me when I am having difficulty continuing the project."

[0553] As a concrete example, let's say a user is working on designing a prototype. At this time, the camera and microphone on the user's device analyze the user's facial expressions and voice in real time and provide the data to the server. If the emotion engine detects that the user is "enjoying" the design, the server will suggest to other participants, "Let's discuss this design as a group!" In this way, interaction optimized to the user's emotions is achieved.

[0554] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0555] Step 1:

[0556] A user attempts to access a virtual reality space and enters authentication information into their terminal. This information includes a user ID and password. After receiving this information, the terminal sends it to the server. The server receives this input and verifies the authentication information using its database. It executes a database query, and if the user information matches, authentication is successful. If successful, the server generates an authentication code and sends it back to the terminal. This allows the user to log in to the virtual reality space.

[0557] Step 2:

[0558] Users create and edit digital objects in a virtual reality space. During this process, user actions are recorded in real time. The terminal receives user action information as input and sends it to the server. The server receives this data and sends updated digital object information to other users' terminals. Processing of update information using a data structure enables real-time interaction.

[0559] Step 3:

[0560] When a user changes their facial expression or makes a sound during interaction, the device captures that facial expression and audio data using sensing devices. For example, the camera displays the user's face and the microphone picks up sound. The device sends this input data to a server. The server uses an emotion recognition algorithm to analyze the user's emotions from this data. After processing the data and identifying the emotional state, it outputs basic information for responding in accordance with those emotions.

[0561] Step 4:

[0562] Based on the analyzed emotional state, the server uses a generative AI model to generate suggestions and feedback tailored to the user's emotions. For example, it might use the prompt "Generate a motivational message when the user is feeling tired." This feedback, generated using natural language, is sent to the device. The device then presents this feedback to the user, providing information to improve the user experience.

[0563] Step 5:

[0564] Based on the feedback received, users select their next action based on the suggestions and messages presented. If the user re-edits the digital object according to the suggestions, that operation is recorded on the device as new input. In this way, the interactive experience in the virtual reality space continues to progress.

[0565] (Application Example 2)

[0566] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0567] In virtual reality spaces, there is a challenge in achieving effective interaction and collaboration that takes into account the user's emotional state. Furthermore, providing personalized suggestions and feedback based on a user's individual emotional state is not being done effectively. Therefore, there is a need to improve the quality of user interaction and provide a more intuitive and emotionally resonant creative environment.

[0568] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0569] In this invention, the server includes means for receiving authentication information from a user terminal and issuing a token to permit access to a virtual reality space; means for receiving information on content operated by the user within the virtual reality space and updating and transmitting the content information to other user terminals in real time; means for acquiring and analyzing the user's emotional information using emotion recognition technology; means for generating suggestions that are appropriate to the emotional information based on the analyzed emotional information and providing feedback to the user terminal; and means for improving interaction by presenting the analyzed emotional information to other users haptically. As a result, users can enjoy rich interaction with others while receiving suggestions that are adapted to their individual emotions within the virtual reality space.

[0570] A "user terminal" is an electronic device used by a user to input and receive information.

[0571] A "virtual reality space" is a three-dimensional digital space generated by a computer that users can virtually experience.

[0572] A "token" is a digital data item that represents unique identification information generated for authentication and session management.

[0573] "Content information" refers to all digital data manipulated and generated by users within a virtual reality space.

[0574] A "machine learning algorithm" is a computational method for automatically learning patterns from data and making predictions or suggestions.

[0575] "Emotion recognition technology" is a technology that analyzes a user's facial expressions and voice to determine their emotional state.

[0576] "Emotional information" refers to data that indicates the user's current emotions and psychological state.

[0577] "Feedback" refers to information and responses provided in response to a user's actions or circumstances.

[0578] A "data bank" is a digital storage system for systematically preserving information.

[0579] The system for realizing this invention consists of a user terminal, a server, and a virtual reality environment. The user terminal is equipped with a camera and microphone to collect the user's facial expressions and voice. This data is then sent to the server for real-time analysis of the user's emotional information. The server has an analysis module equipped with emotion recognition technology that can analyze the user's emotional state based on the data received from the user. This analysis result is used to generate appropriate feedback and suggestions using a generative AI model. The generated feedback is sent to the user terminal, enabling interaction that matches the emotional information.

[0580] Furthermore, this system has a database (data bank) that stores content information manipulated and generated in the virtual reality space, as well as analyzed emotional information, thereby enabling continuous learning and improving the personalized experience. User operation history and preferences are also stored in this database and used to improve feedback for future use. In addition, sharing emotional information with other users through haptic devices can improve the quality of interaction in the virtual space.

[0581] As a concrete example, when a user is browsing products in a virtual reality space, if the camera detects a smile, the server analyzes that information, and an AI model recommends related products. For example, a prompt message such as, "This product has received high ratings from other customers. You might also be interested in these other products," is generated and presented to the user as a suggestion. In this way, it is possible to make the virtual shopping experience richer and more intuitive by presenting content that is tailored to the user's emotions.

[0582] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0583] Step 1:

[0584] The user terminal uses a camera and microphone to collect user facial expression and audio data. The input is the user's real-time video and audio, and the output is a digital signal to send this data to the server.

[0585] Step 2:

[0586] The server receives facial expression data and voice data sent from the user's terminal. It analyzes the received data using emotion recognition technology to determine the user's emotional state. The input is the user's facial expression and voice data, and the output is the analyzed emotional information.

[0587] Step 3:

[0588] The server uses a generative AI model to generate suggestions and feedback based on the obtained emotional information. The input is the analyzed emotional information, the generative AI model creates appropriate prompt sentences, and the output is the feedback and suggestions sent to the user terminal.

[0589] Step 4:

[0590] The user terminal receives feedback and suggestions from the server and displays them to the user. Input is a prompt from the server, and output is what is displayed to the user. Based on this, the user can adjust their actions in the virtual reality space or make new choices.

[0591] Step 5:

[0592] The server stores the user's operation history and past emotional information in a database, which is then used to improve future interactions. Input consists of user behavior logs and emotional information, while output is an updated database entry based on this data.

[0593] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0594] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0595] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0596] [Fourth Embodiment]

[0597] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0598] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0599] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0600] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0601] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0602] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0603] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0604] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0605] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0606] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0607] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0608] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0609] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0610] This invention aims to build a system that enables collaborative creation by multiple users in a virtual reality space. Specifically, it provides a mechanism that allows users to access the virtual reality space using individual terminals and create and manipulate content in real time.

[0611] When a user connects to a virtual reality space, the terminal first receives the user's authentication information through an input interface. The terminal then sends this information to a server. The server uses this information to consult a database, and if authentication is successful, issues a token granting access. This token is sent to the terminal, and the user uses it to log in to the system.

[0612] Users entering the virtual reality space can begin creating digital content through an interactive interface. They can paint using digital brushes and add music tracks. The terminal monitors the user's actions and sends this information to the server each time. The server, in turn, uses this information to share the same information with other users in the virtual space, allowing all users to share the latest production progress in real time.

[0613] The AI ​​agent is a crucial element of this system. Upon receiving a request from the terminal, the AI ​​agent on the server uses machine learning algorithms to generate suggestions for the user's project and sends that data to the terminal. For example, if the user is creating a painting, the AI ​​agent will suggest various color schemes, expanding the user's options. Similarly, in a music project, it might offer new melody and rhythm ideas.

[0614] This system allows users to engage in creative activities while collaborating closely with others, transcending physical limitations. Furthermore, AI support enables them to gain new inspiration that would not have been possible through traditional methods. As a result, users can efficiently produce more creative and diverse media content.

[0615] The following describes the processing flow.

[0616] Step 1:

[0617] The user launches the application on their device and enters their authentication information on the input screen. The device then sends this information to the server.

[0618] Step 2:

[0619] The server queries the database for the received authentication information and verifies that the information matches. If authentication is successful, it generates a token and sends it to the terminal.

[0620] Step 3:

[0621] The terminal uses the received token to log the user into the virtual reality space and fully load the work interface.

[0622] Step 4:

[0623] The user begins creating a project in a virtual reality space, for example, by selecting a tool to draw a picture and starting to operate it. The device continuously sends the operation data to the server.

[0624] Step 5:

[0625] The server analyzes the operation data received in real time and sends data to other participating users' devices to reflect the latest status.

[0626] Step 6:

[0627] When a user requests AI assistance during the creative process, the device sends the request to the server. The server then invokes the AI ​​agent.

[0628] Step 7:

[0629] The AI ​​agent uses machine learning algorithms to generate creative suggestions for the user's project (for example, new color combinations or musical melodies) and returns that data to the device.

[0630] Step 8:

[0631] The device presents the user with suggestions from an AI agent, and the user can choose whether or not to accept those suggestions.

[0632] Step 9:

[0633] When a user finishes a project, the device sends all content information to the server, which then stores that information in a database.

[0634] Step 10:

[0635] The server notifies the terminal that saving is complete, and the terminal displays a termination message to the user, safely logging them out of the virtual reality space.

[0636] (Example 1)

[0637] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0638] In modern virtual reality environments, real-time information sharing is difficult when multiple users collaborate on content simultaneously. Furthermore, there are insufficient means to provide effective suggestions to support each user's creative activities. Additionally, the provision of customized feedback based on individual user preferences and past activity history is inadequate. Therefore, these challenges need to be effectively addressed.

[0639] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0640] In this invention, the server includes means for receiving authentication information from a user device and issuing a token to grant access to a virtual reality environment; means for receiving information on digital content operated by the user within the virtual reality environment and updating and transmitting the digital content information to other user devices in real time; and means for generating suggestions using machine learning technology based on a request from the user and transmitting them to the user device. This enables users to collaborate smoothly in the virtual reality environment and receive creative suggestions and customized feedback using AI technology.

[0641] A "user device" is an information processing device that accesses a virtual reality environment and sends and receives user operations and inputs.

[0642] A "virtual reality environment" is a three-dimensional space created using computer technology, in which users can visually and experientially explore and interact with a virtual world.

[0643] "Authentication information" refers to data used to verify a user's identity, and typically includes a username and password.

[0644] A "token" is a temporary digital key issued after successful user authentication, and it functions as identification information for users to access the system.

[0645] "Digital content" refers to data, including visual, auditory, and other information, that users generate, manipulate, and share within a virtual reality environment.

[0646] "Machine learning technology" is a technique that automatically learns patterns and rules from data and generates predictions and suggestions based on them.

[0647] "Feedback" refers to advice and responses provided based on the user's activity history and preferences, and includes information to support the user's activities.

[0648] The "information storage section" is a database or storage area for securely storing digital data generated within the system.

[0649] This invention relates to a system that allows users to collaboratively generate and edit digital content in a virtual reality environment. Users can access the virtual reality environment using individual user devices and operate it in real time.

[0650] The server acts as the central control unit of this system, using authentication information received from the user's device to control user access. After successful authentication, the server issues an access token, granting access to the virtual reality environment. User devices typically include, but are not limited to, VR headsets and controllers.

[0651] The server also receives operation information for digital content transmitted from user devices and synchronizes that data with other user devices. This allows multiple users to work collaboratively in the virtual reality environment simultaneously.

[0652] Furthermore, the AI ​​system running on the server utilizes generative AI models and leverages machine learning techniques to provide suggestions for content created by the user. These suggestions are generated based on the user's requests and support the creative process. Specifically, it can suggest different color schemes to a user creating a painting, or present new melody lines to a user creating music.

[0653] For example, if a user is creating a landscape painting in a virtual reality space, the AI ​​system can recommend a "color combination that evokes the image of a sunset." Similarly, if another user is working on a music project, it can suggest trying a "jazz-style rhythm pattern."

[0654] In this system, a concrete example of a prompt would be: "When a user creates digital content in a virtual reality space, what kind of suggestions should the AI ​​agent make? For example, what color scheme could it suggest for a landscape painting?"

[0655] In this way, users can go beyond the confines of virtual reality, collaborate with other users on creative activities, and gain new inspiration with the support of AI.

[0656] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0657] Step 1:

[0658] The user enters authentication information at the login interface using their device. The terminal receives this input information and sends it to the server. The server processes the received authentication information and compares it with the database. Based on this data processing, the server determines whether to issue an access token. If successful, it generates an access token and sends it to the terminal.

[0659] Step 2:

[0660] The user logs into the virtual reality environment using an access token. The device verifies the token and establishes a connection with the server. The server validates this token and starts the user's session. This allows the user to access the virtual reality environment.

[0661] Step 3:

[0662] Users create or edit digital content using a VR control interface. The terminal detects user actions in real time and collects the action data. This action data is temporarily processed and compiled on the terminal before being sent to the server.

[0663] Step 4:

[0664] The server uses the received operation data to update the current state of the content within the virtual reality environment. The server distributes the updated data to all other user devices, synchronizing the latest state on everyone's screens. This synchronization process allows users to see changes made by other collaborators in real time.

[0665] Step 5:

[0666] When a user requests an AI suggestion, the device sends the request to the server. The AI ​​agent on the server activates a generative AI model and uses machine learning algorithms to generate suggestions. For example, if the user is trying to add color to a painting, the AI ​​agent might suggest "cool, harmonious shades."

[0667] Step 6:

[0668] The AI-generated suggestions are sent from the server to the terminal. The terminal visually presents these to the user, allowing them to choose whether to apply the suggestions. The user can then review the suggestions, adopt them as needed, and continue their creative work.

[0669] (Application Example 1)

[0670] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0671] In recent years, collaborative creation in virtual environments has attracted attention, but various problems exist in order for multiple users to collaborate and engage in creative activities in real time. In particular, it is difficult to achieve smooth information sharing and proposal provision among users, and efficient collaborative work through the virtual environment. The present invention aims to solve these problems and provide a means for users to engage in more creative and efficient collaborative creation.

[0672] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0673] In this invention, the server includes means for receiving authentication data from a user terminal and issuing an identifier to permit access to a virtual environment; means for receiving information on data operated by the user within the virtual environment and updating and transmitting said data information to other user terminals in real time; and means for generating suggestions using machine learning techniques based on requests from users and transmitting them to user terminals. This enables multiple users to smoothly share information and efficiently collaborate on projects within the virtual environment while receiving suggestions from AI.

[0674] A "user terminal" refers to a device used by a user to access and operate a virtual environment, such as a smartphone or head-mounted display.

[0675] "Authentication data" refers to information necessary for a user to be granted access to the virtual environment, and includes login information and identification information.

[0676] A "virtual environment" refers to a three-dimensional digital space built on a computer that users can access and operate in real time.

[0677] An "identifier" refers to a unique code or token issued for the purpose of granting access to a virtual environment.

[0678] "Data information" refers to information related to content and digital objects that users interact with within the virtual environment.

[0679] "Machine learning methods" refer to algorithms and methodologies used by AI agents to generate suggestions that meet user requirements.

[0680] "Proposal generation" refers to the process by which an AI agent creates and provides new ideas and optimization suggestions based on the user's actions and requests.

[0681] "User terminal" refers to a device connected to a virtual environment and used to receive and display information within that environment.

[0682] To implement this invention, the server receives authentication data from the user terminal and issues an identifier. This grants the user access to the virtual environment. When the user manipulates digital objects or content within the virtual environment, the content is transmitted to the server in real time. The server receives this data and immediately transmits the update information to other users' terminals.

[0683] The server utilizes TensorFlow to apply machine learning based on user requests and generate suggestions. For example, if a user is creating artwork, it can provide suggestions on color selection and design optimization. These suggestions are sent to the user's device, helping them improve the quality of their creative work.

[0684] As a concrete example, suppose a user is creating a new painting in a virtual art gallery. In this case, the server, through an AI agent, provides suggestions for color palettes and composition, and has the functionality to share the progress of the work with other collaborators in real time.

[0685] Examples of prompts for a generative AI model:

[0686] "Generate new color suggestions for users to collaboratively create art in a virtual reality space."

[0687] Users can easily experience these processes using smartphones or head-mounted displays. This system supports real-time collaborative creation and enables creative activities that transcend physical limitations.

[0688] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0689] Step 1:

[0690] When a user attempts to access a virtual environment from their device, the device sends authentication data, such as a username and password, to the server. The server receives this data, compares it against its database, and if authentication is successful, generates an identifier and sends it to the device. This identifier serves as the key for the user to access the virtual environment.

[0691] Step 2:

[0692] When a user manipulates a digital object within the virtual environment, the terminal sends the details of that manipulation to the server. The server receives this information in real time and, as data processing, transmits it as an update to all other user terminals. This allows other users to experience the changes in the environment almost simultaneously.

[0693] Step 3:

[0694] When a user sends a specific request to the server, the server uses TensorFlow to perform machine learning and generate suggestions based on that request. For example, in the case of an artwork, the server would suggest available colors and compositions. This process involves the AI ​​performing data calculations on the input request data and outputting the optimal suggestion.

[0695] Step 4:

[0696] The generated suggestions are sent from the server to the user's device. The device receives these suggestions and displays them to the user, allowing them to use them in their creative process. The user can continue working on their project using the suggestions as a reference, and if further actions are taken, the information sharing process will resume from step 2.

[0697] This process allows users to continuously receive new suggestions and engage in creative activities together with many other users.

[0698] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0699] This invention provides a system that supports efficient collaborative creation by multiple users in a virtual reality space, and in particular, by incorporating an emotion engine, it enables interaction that utilizes the recognition of users' emotions.

[0700] When a user accesses a virtual reality space, the device receives the user's authentication information and sends it to the server. The server uses the authentication information to look up information in a database, verifies that the access is legitimate, and then issues a token. This token is returned to the device, and the user uses this token to log in to the virtual reality space.

[0701] Within the virtual reality space, users are provided with an environment where they can manipulate and create various digital content. The terminal continuously collects user activity information in real time. This data is sent to a server, which then shares updated information with other participating users, facilitating smooth collaboration.

[0702] The emotion engine analyzes the user's emotions in real time from their facial expressions and voice. The device collects the user's emotion data through its camera and microphone and sends it to the server. The emotion engine on the server analyzes this data and determines the user's emotional state. Based on this information, the server uses an AI agent to generate suggestions and feedback appropriate to the user's emotions and provides them to the device.

[0703] For example, if a user is feeling discouraged with a project, the emotion engine detects this and the AI ​​agent generates supportive suggestions and tone-adjusted messages to motivate them. This allows the user to continue creating in an environment that fosters positive emotions.

[0704] Furthermore, the emotion engine enriches user interaction; for example, displaying a user's emotional state allows other users to communicate accordingly. This dynamic feedback loop deepens mutual understanding among users and improves the quality of collaborative work.

[0705] With a system configured in this way, creative activities in virtual reality space can be conducted in a more intuitive and emotionally resonant manner, allowing users to gain a new creative experience.

[0706] The following describes the processing flow.

[0707] Step 1:

[0708] The user launches the virtual reality application using their device and enters their authentication information on the login screen. The device then sends this information to the server.

[0709] Step 2:

[0710] The server verifies the received authentication information against its database, and if successful, generates a token that grants access to the virtual reality space and sends it to the terminal.

[0711] Step 3:

[0712] The device logs the user into the virtual reality space based on the token it receives and provides a user interface.

[0713] Step 4:

[0714] The user selects a project within the virtual space and begins creating content. The device continuously sends user interaction data (e.g., drawing actions and object placement) to the server.

[0715] Step 5:

[0716] The server analyzes the received operation data in real time, updates the current content information to other users' devices, and sends it.

[0717] Step 6:

[0718] The device uses its built-in camera and microphone to record the user's facial expressions and voice, and transmits that data to a sensor system for the emotion engine.

[0719] Step 7:

[0720] The server's emotion engine analyzes the user's emotional state and provides the results to the AI ​​agent. Based on the emotion data, the AI ​​agent generates content-related suggestions and feedback.

[0721] Step 8:

[0722] The device presents the user with feedback and suggestions from the server, allowing the user to use them as a reference to proceed with their creative work.

[0723] Step 9:

[0724] When a user finishes creating a project, the device sends all of the project's content data to the server for storage in the database.

[0725] Step 10:

[0726] The server notifies the terminal when saving is complete, and the terminal displays a termination message on the screen to prompt the user to log out safely.

[0727] (Example 2)

[0728] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0729] Conventional collaborative creation systems in virtual reality spaces have struggled to provide user-driven interaction and have been unable to effectively support users' creative activities. Furthermore, properly supporting dynamic communication with other participants in real-time sharing of operational information has also been a challenge.

[0730] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0731] In this invention, the server includes means for receiving authentication information from a user terminal and issuing an authentication code to permit access to a virtual reality space; means for receiving information on digital objects operated by the user within the virtual reality space and updating and transmitting the digital object information to other user terminals in real time; means for analyzing the user's facial expressions and voice data to identify their emotional state; and means for generating emotionally appropriate suggestions and feedback using a generative intelligence model based on the analyzed emotional state and transmitting them to the user terminal. This enables more effective collaborative creation through user emotion-based interaction.

[0732] A "user terminal" is a device that allows a user to access and interact with a virtual reality space.

[0733] "Authentication information" refers to data such as IDs and passwords that are necessary to grant a user access.

[0734] An "authentication code" is a token generated upon successful user authentication, which grants access to the virtual reality space.

[0735] A "virtual reality space" is a three-dimensional simulation space in a digital environment where users can manipulate and create various objects.

[0736] A "digital object" is a data resource that a user manipulates or creates within a virtual reality space.

[0737] "Real-time" refers to instantaneous processing with virtually no delay.

[0738] "Facial expressions and audio data" refers to visual and auditory information acquired to analyze the user's emotions.

[0739] Identifying an "emotional state" refers to the process of classifying and recognizing a user's emotions.

[0740] A "generative intelligence model" is a mathematical model that uses artificial intelligence technology to generate feedback in response to user interaction.

[0741] "Suggestions and feedback" refer to advice and responses provided based on the user's actions and emotional state.

[0742] This invention is a system for realizing user emotion-based interaction in a virtual reality space. The user's terminal first accesses the server by entering authentication information. The terminal transmits the authentication information entered by the user to the server via the internet. The server verifies this authentication information using database management software (e.g., relational database management system). If authentication is successful, the server issues an authentication code to the user and sends it back to the terminal. The user uses this authentication code to log in to the virtual reality space.

[0743] Within the virtual reality space, users can create and edit digital objects. During this process, the device uses sensing devices (e.g., camera, microphone) to capture the user's facial expressions and voice data. This data is sent to a server, which uses emotion recognition algorithms (e.g., artificial intelligence technology for processing voice and images) to identify the user's emotional state in real time.

[0744] The server uses a generative intelligence model (e.g., natural language generation technology) based on the user's emotional state to create suggestions and feedback that are tailored to the user's feelings. This suggestion and feedback is sent to the device and displayed to the user. For example, if the user is showing signs of frustration, the server uses the AI ​​model to generate an encouraging message using a prompt such as, "Please provide advice to help me when I am having difficulty continuing the project."

[0745] As a concrete example, let's say a user is working on designing a prototype. At this time, the camera and microphone on the user's device analyze the user's facial expressions and voice in real time and provide the data to the server. If the emotion engine detects that the user is "enjoying" the design, the server will suggest to other participants, "Let's discuss this design as a group!" In this way, interaction optimized to the user's emotions is achieved.

[0746] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0747] Step 1:

[0748] A user attempts to access a virtual reality space and enters authentication information into their terminal. This information includes a user ID and password. After receiving this information, the terminal sends it to the server. The server receives this input and verifies the authentication information using its database. It executes a database query, and if the user information matches, authentication is successful. If successful, the server generates an authentication code and sends it back to the terminal. This allows the user to log in to the virtual reality space.

[0749] Step 2:

[0750] Users create and edit digital objects in a virtual reality space. During this process, user actions are recorded in real time. The terminal receives user action information as input and sends it to the server. The server receives this data and sends updated digital object information to other users' terminals. Processing of update information using a data structure enables real-time interaction.

[0751] Step 3:

[0752] When a user changes their facial expression or makes a sound during interaction, the device captures that facial expression and audio data using sensing devices. For example, the camera displays the user's face and the microphone picks up sound. The device sends this input data to a server. The server uses an emotion recognition algorithm to analyze the user's emotions from this data. After processing the data and identifying the emotional state, it outputs basic information for responding in accordance with those emotions.

[0753] Step 4:

[0754] Based on the analyzed emotional state, the server uses a generative AI model to generate suggestions and feedback tailored to the user's emotions. For example, it might use the prompt "Generate a motivational message when the user is feeling tired." This feedback, generated using natural language, is sent to the device. The device then presents this feedback to the user, providing information to improve the user experience.

[0755] Step 5:

[0756] Based on the feedback received, users select their next action based on the suggestions and messages presented. If the user re-edits the digital object according to the suggestions, that operation is recorded on the device as new input. In this way, the interactive experience in the virtual reality space continues to progress.

[0757] (Application Example 2)

[0758] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0759] In virtual reality spaces, there is a challenge in achieving effective interaction and collaboration that takes into account the user's emotional state. Furthermore, providing personalized suggestions and feedback based on a user's individual emotional state is not being done effectively. Therefore, there is a need to improve the quality of user interaction and provide a more intuitive and emotionally resonant creative environment.

[0760] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0761] In this invention, the server includes means for receiving authentication information from a user terminal and issuing a token to permit access to a virtual reality space; means for receiving information on content operated by the user within the virtual reality space and updating and transmitting the content information to other user terminals in real time; means for acquiring and analyzing the user's emotional information using emotion recognition technology; means for generating suggestions that are appropriate to the emotional information based on the analyzed emotional information and providing feedback to the user terminal; and means for improving interaction by presenting the analyzed emotional information to other users haptically. As a result, users can enjoy rich interaction with others while receiving suggestions that are adapted to their individual emotions within the virtual reality space.

[0762] A "user terminal" is an electronic device used by a user to input and receive information.

[0763] A "virtual reality space" is a three-dimensional digital space generated by a computer that users can virtually experience.

[0764] A "token" is a digital data item that represents unique identification information generated for authentication and session management.

[0765] "Content information" refers to all digital data manipulated and generated by users within a virtual reality space.

[0766] A "machine learning algorithm" is a computational method for automatically learning patterns from data and making predictions or suggestions.

[0767] "Emotion recognition technology" is a technology that analyzes a user's facial expressions and voice to determine their emotional state.

[0768] "Emotional information" refers to data that indicates the user's current emotions and psychological state.

[0769] "Feedback" refers to information and responses provided in response to a user's actions or circumstances.

[0770] A "data bank" is a digital storage system for systematically preserving information.

[0771] The system for realizing this invention consists of a user terminal, a server, and a virtual reality environment. The user terminal is equipped with a camera and microphone to collect the user's facial expressions and voice. This data is then sent to the server for real-time analysis of the user's emotional information. The server has an analysis module equipped with emotion recognition technology that can analyze the user's emotional state based on the data received from the user. This analysis result is used to generate appropriate feedback and suggestions using a generative AI model. The generated feedback is sent to the user terminal, enabling interaction that matches the emotional information.

[0772] Furthermore, this system has a database (data bank) that stores content information manipulated and generated in the virtual reality space, as well as analyzed emotional information, thereby enabling continuous learning and improving the personalized experience. User operation history and preferences are also stored in this database and used to improve feedback for future use. In addition, sharing emotional information with other users through haptic devices can improve the quality of interaction in the virtual space.

[0773] As a concrete example, when a user is browsing products in a virtual reality space, if the camera detects a smile, the server analyzes that information, and an AI model recommends related products. For example, a prompt message such as, "This product has received high ratings from other customers. You might also be interested in these other products," is generated and presented to the user as a suggestion. In this way, it is possible to make the virtual shopping experience richer and more intuitive by presenting content that is tailored to the user's emotions.

[0774] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0775] Step 1:

[0776] The user terminal uses a camera and microphone to collect user facial expression and audio data. The input is the user's real-time video and audio, and the output is a digital signal to send this data to the server.

[0777] Step 2:

[0778] The server receives facial expression data and voice data sent from the user's terminal. It analyzes the received data using emotion recognition technology to determine the user's emotional state. The input is the user's facial expression and voice data, and the output is the analyzed emotional information.

[0779] Step 3:

[0780] The server uses a generative AI model to generate suggestions and feedback based on the obtained emotional information. The input is the analyzed emotional information, the generative AI model creates appropriate prompt sentences, and the output is the feedback and suggestions sent to the user terminal.

[0781] Step 4:

[0782] The user terminal receives feedback and suggestions from the server and displays them to the user. Input is a prompt from the server, and output is what is displayed to the user. Based on this, the user can adjust their actions in the virtual reality space or make new choices.

[0783] Step 5:

[0784] The server stores the user's operation history and past emotional information in a database, which is then used to improve future interactions. Input consists of user behavior logs and emotional information, while output is an updated database entry based on this data.

[0785] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0786] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0787] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0788] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0789] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0790] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0791] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0792] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0793] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0794] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0795] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0796] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0797] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0798] 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.

[0799] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0800] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0801] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0802] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0803] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0804] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0805] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0806] The following is further disclosed regarding the embodiments described above.

[0807] (Claim 1)

[0808] A means for receiving authentication information from a user's terminal and issuing a token to grant access to the virtual reality space,

[0809] A means for receiving information about content operated by a user within that virtual reality space, updating and transmitting said content information to other user terminals in real time,

[0810] A means of generating suggestions using a machine learning algorithm based on a user request and sending them to the user's terminal,

[0811] A system that includes this.

[0812] (Claim 2)

[0813] The system according to claim 1, comprising a function for generating and presenting feedback based on the user's operation history and preferences.

[0814] (Claim 3)

[0815] The system according to claim 1, comprising a function for saving content created in a virtual reality space to a database.

[0816] "Example 1"

[0817] (Claim 1)

[0818] A means for receiving authentication information from a user device and issuing a token to grant access to the virtual reality environment,

[0819] A means for receiving information on digital content operated by a user within that virtual reality environment, and updating and transmitting said digital content information to other user devices in real time,

[0820] A means for generating proposals using machine learning technology based on user requests and transmitting them to the user's device,

[0821] A means of centralizing user operation data and synchronizing changes within the virtual space based on that data,

[0822] A means of providing creative suggestions regarding content being created by users using AI technology,

[0823] A system that includes this.

[0824] (Claim 2)

[0825] The system according to claim 1, comprising a function for generating and presenting feedback based on the user's operation history and preferences.

[0826] (Claim 3)

[0827] The system according to claim 1, comprising a function for storing digital content created in a virtual reality environment in an information storage unit.

[0828] "Application Example 1"

[0829] (Claim 1)

[0830] A means for receiving authentication data from a user terminal and issuing an identifier to grant access to the virtual environment,

[0831] A means for receiving data information operated by a user within that virtual environment, updating and transmitting said data information to other user terminals in real time,

[0832] A means for generating proposals using machine learning techniques based on user requests and sending them to the user's terminal,

[0833] A function that enables collaborative production within a virtual environment using a designated display device,

[0834] A system that includes this.

[0835] (Claim 2)

[0836] The system according to claim 1, comprising a function to generate and provide responses based on the user's operation history and preferences.

[0837] (Claim 3)

[0838] The system according to claim 1, further comprising a function for storing data generated in a virtual environment on a storage medium.

[0839] "Example 2 of combining an emotion engine"

[0840] (Claim 1)

[0841] A means for receiving authentication information from a user terminal and issuing an authentication code to permit access to a virtual reality space,

[0842] A means for receiving information about digital objects operated by a user within that virtual reality space, and updating and transmitting said digital object information to other user terminals in real time,

[0843] A means of analyzing the user's facial expressions and voice data to identify their emotional state,

[0844] A means for generating emotionally appropriate suggestions and feedback using a generative intelligence model based on the analyzed emotional state, and transmitting them to the user's terminal,

[0845] A system that includes this.

[0846] (Claim 2)

[0847] The system according to claim 1, which generates and presents feedback based on the user's operation history and emotional state.

[0848] (Claim 3)

[0849] The system according to claim 1, which stores digital objects created in a virtual reality space in an information storage device.

[0850] "Application example 2 when combining with an emotional engine"

[0851] (Claim 1)

[0852] A means for receiving authentication information from a user's terminal and issuing a token to grant access to the virtual reality space,

[0853] A means for receiving information about content operated by a user within that virtual reality space, updating and transmitting said content information to other user terminals in real time,

[0854] A means of generating suggestions using a machine learning algorithm based on a user request and sending them to the user's terminal,

[0855] A means of acquiring and analyzing a user's emotional information using emotion recognition technology,

[0856] A means for generating suggestions that are appropriate to the emotional information based on the analyzed emotional information and providing feedback to the user terminal,

[0857] By presenting analyzed emotional information to other users haptically, this provides a means to improve interaction.

[0858] A system that includes this.

[0859] (Claim 2)

[0860] The system according to claim 1, comprising a function to generate feedback based on the user's operation history and preferences, and to present it together with emotional information.

[0861] (Claim 3)

[0862] The system according to claim 1, comprising a function for storing content and emotional information created in a virtual reality space in a database. [Explanation of symbols]

[0863] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving authentication information from a user's terminal and issuing a token to grant access to the virtual reality space, A means for receiving information about content operated by a user within that virtual reality space, updating and transmitting said content information to other user terminals in real time, A means of generating suggestions using a machine learning algorithm based on a user request and sending them to the user's terminal, A system that includes this.

2. The system according to claim 1, further comprising a function for generating and presenting feedback based on the user's operation history and preferences.

3. The system according to claim 1, comprising a function for saving content created in a virtual reality space to a database.

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