system

Abstract

We provide the system. [Solution] A means of receiving authentication information from a user, verifying that information against a database, and authenticating the user. A means of receiving files in multiple media formats and registering them in a version control system, A means of generating and proposing project-related content using generative artificial intelligence, A means to perform real-time editing synchronization between devices and reflect project changes, 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 persona chatbot control method 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] The present invention aims to solve the difficulty of efficiently managing and versioning files in various media formats in a project involving a creator. Furthermore, it enables real-time collaborative work among project members and promotes the creative process with the assistance of generative artificial intelligence, thereby improving the efficiency and quality of the project.

Means for Solving the Problems

[0005] The present invention provides a means for receiving authentication information from a user, verifying it against a database, and performing authentication. It also includes means for receiving files in multiple media formats and registering them in a version control system. Furthermore, it has means for generating and proposing project-related content using artificial intelligence, and provides a system that includes means for performing real-time editing synchronization between terminals to reflect changes in the project, thereby solving the above problems.

[0006] "User" refers to the entity that operates this system and utilizes its functions.

[0007] "Authentication information" refers to information used to verify the user's identity, and mainly includes user IDs and passwords.

[0008] A "database" refers to a system for systematically storing and managing information.

[0009] "Media format" refers to the specific representation methods of digital data, such as text, images, music, videos, and code.

[0010] A "version control system" refers to a system that tracks the history of changes made to a file and allows users to revert to a previous state.

[0011] "Generative artificial intelligence" refers to artificial intelligence that has the ability to generate new content and ideas based on input information.

[0012] "Content" refers to the information and data sets generated and edited within a project.

[0013] "Terminal" refers to a user's computer or device connected to the system.

[0014] "Synchronization" refers to the process of ensuring that multiple devices or systems operate at the same time and that their data and information are synchronized.

[0015] "Change" refers to the modifications and updates made to files and data within a project.

Brief Explanation of Drawings

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

Embodiments for Carrying Out the Invention

[0017] 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.

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

[0019] In the following embodiments, a processor with a reference numeral (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of 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.

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

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

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention provides a system for creators to collaborate on projects while efficiently managing digital files in various media formats. The system mainly consists of a server, terminals, and users.

[0038] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This allows the user to pass authentication and access the project dashboard.

[0039] Furthermore, the server receives files in various media formats uploaded from terminals and registers them in the version control system. This allows users to track the change history of files and revert to previous versions as needed. This provides greater editing freedom in the creative process.

[0040] Furthermore, the server uses generative artificial intelligence to generate content related to the project theme set by the user. Users can select content suggested by this AI and incorporate it into their project. This process makes it possible to bring new ideas and creative solutions to the project.

[0041] The terminal receives edits made by other members in real time during the project and reflects those changes on the user's screen. This ensures that team members are always aware of the latest project status, guaranteeing smooth communication and collaboration.

[0042] As a concrete example, consider a case where multiple creators collaborate to create a digital work. User A edits an image file and uploads it to the server. The server reflects the changes in the version control system and notifies other users' terminals in real time. When User B checks the changes and adds a video file, the same immediate synchronization and history management of changes are performed via the server.

[0043] This workflow enables seamless collaboration among users, improving the overall efficiency of the project. This invention removes the constraints of traditional creative processes and realizes a new form of collaboration.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] The user enters login information on their device and sends it to the server. The server compares the received authentication information with the information in its database to verify the user's identity. If authentication is successful, the server generates a session ID and sends it to the device.

[0047] Step 2:

[0048] Once authentication is complete, the user uploads the project file. The terminal sends the file in the selected media format to the server. The server registers the received file in the version control system, generates a hash value for the file, and compares it with previous versions.

[0049] Step 3:

[0050] The server records the new file version in the history management table and notifies the user that the file has been successfully updated. This notification is displayed to the user on their terminal.

[0051] Step 4:

[0052] When a user needs new content or ideas related to their project, they send a request from their device to the server. The server activates a generation artificial intelligence module to generate content and ideas based on the project's theme.

[0053] Step 5:

[0054] AI-generated content suggestions are sent from the server to the user's device, where the user reviews them. The user then accepts or modifies the suggestions and applies them to the project.

[0055] Step 6:

[0056] When other members participating in the project make changes to a file, the server receives that change information. The server then distributes the changes to the other members' terminals in real time.

[0057] Step 7:

[0058] The terminal instantly reflects received changes on the user's workspace and notifies them of the changes. The user can then check the latest project status and make further edits or provide feedback.

[0059] This entire process allows users to seamlessly manage their projects and perform editing tasks quickly and efficiently.

[0060] (Example 1)

[0061] 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."

[0062] In modern digital content creation, it is challenging for multiple creators to collaborate effectively while maintaining work efficiency, managing files in different media formats, real-time editing, and generating creative content. Many challenges exist, particularly regarding authentication security, history management, and the application of generated content.

[0063] 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.

[0064] In this invention, the server includes means for receiving authentication information from a user and authenticating the information by comparing it with a storage device, means for receiving data in multiple information formats and registering it on a history management platform, and means for generating and providing materials related to the work content using generative artificial intelligence. This enables each creator to collaborate safely and efficiently while smoothly generating and applying the necessary content.

[0065] A "user" is an individual or organization that uses the system to create or manage digital content.

[0066] "Authentication information" refers to individual identification information used to verify the identity of a user when they access a system.

[0067] A "storage device" is an electronic device or system used to store information so that it can be retrieved or retrieved later.

[0068] "Information format" refers to the various types and forms that digital data can take, such as text, images, and audio.

[0069] A "history management platform" is a system that manages the history of data changes and allows users to refer to or restore past states as needed.

[0070] "Generative artificial intelligence" refers to a program that uses technology to automatically create content tailored to a specific purpose.

[0071] "Documents" refer to digital content created for use or reference by users in relation to a project or work.

[0072] An "output device" is a device used in a computer or digital device to display or output results.

[0073] The system in this invention is a mechanism for efficiently managing collaborative work and providing digital content generation and version control. The system mainly consists of a server, terminals, and users.

[0074] The server receives authentication information from multiple users and compares it with data stored in its storage device. This establishes user authentication and enables secure access to the project dashboard. For example, an SQL database is used to model authentication information such as usernames and passwords and perform the comparison.

[0075] The terminal plays the role of uploading digital data in various information formats created or edited by the user to the server. This data is recorded on a version control platform on the server. This ensures that all change history is saved and comparisons with past versions are possible. Git is one of the version control systems used.

[0076] Furthermore, the server has the ability to generate highly relevant materials for the user using a generative AI model. Users can utilize this function by entering prompts. For example, if the prompt is "Please create some illustration ideas with a summer ocean theme," the AI ​​will generate relevant materials and propose them to the user. In this case, models such as those from OpenAI (registered trademark) are used.

[0077] Finally, if a terminal makes changes via the server, those changes are reflected in real time on all other output devices. This mechanism ensures that each user can always work with the latest information. For example, when user A changes an image, that change is immediately reflected on the terminals of all other members.

[0078] This system enables seamless collaboration among users and supports the efficient progress of creative projects.

[0079] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0080] Step 1:

[0081] The user enters authentication information using a device. The device sends this information to the server. The server receives this input and compares it with the recorded data. If the comparison is successful, the server generates an authentication success response and returns it to the device. As a result, the user can access the project dashboard.

[0082] Input: User authentication information (username, password)

[0083] Output: Authentication success or failure response

[0084] Step 2:

[0085] Users upload digital data they create or edit from their device to the server. The server receives the data and registers it in the history management platform. This data processing allows the server to create a commit for the new version. The saved version history is used by users to track changes and refer to past versions when they access the data later.

[0086] Input: Digital data uploaded by the user

[0087] Output: Registering the new version to the version control system

[0088] Step 3:

[0089] The user enters prompts to generate the content needed for the project. The terminal sends these prompts to the server. The server uses a generative AI model to generate materials based on the prompts. This data processing outputs content suggestions, which the server provides to the user.

[0090] Input: User prompt message

[0091] Output: Suggestions for materials generated by a generative AI model.

[0092] Step 4:

[0093] When another user makes changes to the project data, the server records those changes and notifies all relevant terminals. The terminals receive the notification and reflect the changes on the user's screen. This ensures that each member always has access to the latest state of the project.

[0094] Input: Data modified by other users

[0095] Output: Real-time change notifications and screen updates.

[0096] (Application Example 1)

[0097] 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."

[0098] In digital content production, creators are required to efficiently manage data in various media formats and collaborate effectively. However, current systems make it difficult to maintain file integrity and achieve real-time synchronization when multiple creators are editing simultaneously. Furthermore, there is a lack of sufficient means to generate digital information, perform simple editing, and then immediately distribute it.

[0099] 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.

[0100] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and proposing digital information related to the project using artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for transmitting video data from a video recording device to the server, adding information using artificial intelligence, and distributing the information. This enables smooth collaborative work among creators and allows for the rapid processing and distribution of video recorded on-site.

[0101] A "user" is an individual or group that can access the system and use its various functions after being authenticated.

[0102] "Authentication information" refers to data used to verify the user's identity, and includes usernames, passwords, and other authentication methods.

[0103] A "database" is a system for centrally storing and managing information, and for performing matching and searching.

[0104] "Media format" refers to the format or type of digital file, and includes text, images, audio, and video.

[0105] A "version control system" is a system that records and tracks the change history of digital files, making it possible to restore them to a previous state.

[0106] "Generative artificial intelligence" is a computer program that generates new digital information based on input data and conditions.

[0107] "Digital information" refers to information that is recorded electronically and can be processed by communication or computer systems.

[0108] "Edit synchronization" is a process that instantly updates the edits made to digital files across multiple devices to maintain consistency.

[0109] A "video recording device" is a device used to record and digitize images and sound, and includes cameras and video recorders.

[0110] "Information distribution" refers to delivering generated or edited digital information to recipients in real time or at a specified time.

[0111] To implement this invention, a system combining multiple elements is required. This system consists of a server, a terminal, and a user, as described below.

[0112] The server performs authentication using a database in response to user requests. This is crucial for verifying the authentication information provided by the user and managing access rights. The database stores user information and access history, and after authentication, it enables access to the project dashboard. The server also manages files in multiple media formats received via a version control system. This allows for tracking the change history of each file and reverting files to previous states as needed, resulting in efficient project management.

[0113] The terminal synchronizes data editing with the server in real time as the project progresses. This feature allows project members to always work while checking the latest status. Additionally, data collected from the video recording device is sent to the server, and an AI model adds information based on that video data. This AI generates relevant content and explanatory information according to the project theme and prompt text, and integrates it into the video.

[0114] Users can select and incorporate content suggested by the generation AI model into their project. This selection process adds new creative ideas to the project, improving its quality. The generated video and content are distributed in real time via the server, providing rapid access to viewers.

[0115] A concrete example is a live music festival event where a creator using smart glasses captures live video footage and instantly sends the data to a server. The AI ​​model incorporates additional information and annotations into the video based on the festival's theme, creating content that conveys the live atmosphere of the event to the viewers. An example of a prompt in this case would be, "Generate annotations and graphics that match the festival's theme. Please also include information appropriate for the age range of the audience."

[0116] This system utilizes specific software such as Cloud Video Editor, AI Content Generator, and Wowza Streaming Engine, enabling smooth and effective creation and distribution of digital content.

[0117] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0118] Step 1:

[0119] The server receives authentication information from the user's device. By comparing this input data with the user information in the database, the server outputs whether authentication was successful or failed. If authentication is successful, access to the project dashboard is granted.

[0120] Step 2:

[0121] Users upload files in multiple media formats to the server via their devices. The server registers these files in a version control system, records the change history of each file, and outputs whether the uploaded files were correctly added to the project. File registration enables tracking of future change history.

[0122] Step 3:

[0123] The server uses generative artificial intelligence to generate new digital information based on a prompt. Taking this prompt as input, it generates information and content related to the project theme and outputs it as a suggestion to the user. The user can then choose whether or not to incorporate the generated content into their project.

[0124] Step 4:

[0125] The terminal receives file changes and newly generated content from the server in real time. The server synchronizes and sends this data to the terminal, outputting the latest state of the project. This allows project participants to always work while checking the latest edits.

[0126] Step 5:

[0127] The user captures video footage on-site and sends the video data from the video recording device to the server. The server takes this video data as input, uses a generative AI model to add relevant information to the video, and outputs it as new video content. The generated content is immediately delivered to viewers through the information distribution system.

[0128] 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.

[0129] This invention incorporates an emotion engine into a system for collaborative work where creators can efficiently manage digital files in various media formats, enabling flexible content suggestions that respond to the user's emotions. The system mainly consists of a server, terminals, and users.

[0130] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This process allows the user to access the project dashboard after authentication.

[0131] The server receives files in multiple media formats from the terminal and registers them in the version control system. Users can use this function to track the change history of files and revert to previous versions as needed.

[0132] Furthermore, generative artificial intelligence is used to generate content related to the project theme set by the user. Here, the emotion engine recognizes the user's emotional state and adjusts the suggested content based on the results. For example, if the user is feeling stressed about the progress of the project, the engine will suggest content that is more relaxing.

[0133] This emotion recognition is performed by analyzing the user's facial expressions and voice tone through the camera and microphone installed in the device. The server uses the results of this analysis to determine the user's emotional state and improve the user experience by suggesting appropriate content.

[0134] For example, if a user is experiencing difficulties with a creative project and their facial expression shows signs of fatigue, the device sends this information to the server via its emotion engine. The server then generates content ideas to create a more relaxed atmosphere and provides them to the user. The user can then use these suggestions to gain new inspiration.

[0135] Thus, by combining an emotion engine, the present invention can provide users with highly flexible creative support. This further improves the efficiency and quality of projects and enhances the user experience.

[0136] The following describes the processing flow.

[0137] Step 1:

[0138] The user opens the login screen on their device and enters their username and password. The device sends the entered authentication information to the server. The server compares this information with the database to verify that the user has legitimate access rights. If authentication is successful, the server generates a session ID and sends it to the user's device.

[0139] Step 2:

[0140] The user selects the files to be used in the project and uploads them from their terminal to the server. The server registers the received files in the version control system and generates a hash value for the files to detect changes by comparing them with previous versions.

[0141] Step 3:

[0142] The server records the file's change history in a database and notifies the user. The terminal displays to the user that the upload is complete and version control is successful.

[0143] Step 4:

[0144] If the project is in progress, the user's device uses its camera and microphone to transmit the user's facial expressions and voice to the emotion engine. The emotion engine analyzes this data to determine the user's current emotional state.

[0145] Step 5:

[0146] The server receives the user's emotional state from the emotion engine and provides that information to the generating artificial intelligence. The AI ​​then generates optimal content and suggestions related to the project theme based on the user's situation. For example, if the user is feeling stressed, relaxing content will be suggested.

[0147] Step 6:

[0148] The server sends content suggestions generated by the AI ​​to the user's terminal. The user can receive these suggestions and use them in their project. If the user selects a suggestion, its content is reflected in the project.

[0149] Step 7:

[0150] When multiple members are involved in a project, the server sends each change to the other members' terminals in real time. The terminals display the latest status and notify the user of the changes. This ensures that all project participants always have access to the latest information.

[0151] This process allows users to efficiently manage files using the system, and creative activities are facilitated with the support of an emotion engine and generative artificial intelligence.

[0152] (Example 2)

[0153] 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".

[0154] In modern digital projects, team members are required to collaborate efficiently while handling diverse file formats. However, traditional systems suffer from cumbersome file and version control, leading to decreased work efficiency. Furthermore, because they provide uniform content suggestions without considering the emotional state of team members, it is difficult to provide support optimized for individual users.

[0155] 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.

[0156] In this invention, the server includes means for receiving authentication information from a user and verifying the information with a data storage device for authentication; means for receiving information in various formats and registering it with a history management device; means for generating and suggesting work-related content using a generative intelligence device; means for having an emotion analysis function to recognize the user's emotional state and adjust content suggestions; and means for performing real-time editing synchronization between terminals to reflect changes in work. As a result, users can improve the efficiency of file management while receiving appropriate content suggestions that match their emotions.

[0157] "Authentication information" refers to data used to verify an individual's identity when a user accesses a system.

[0158] A "data storage device" is a system component that securely stores information and allows for retrieval and verification as needed.

[0159] A "history management device" is a system function that tracks the change history of files and information, enabling comparison and restoration between different versions.

[0160] A "generative intelligence device" is an artificial intelligence system that automatically generates relevant content and information based on given data and instructions.

[0161] "Emotion analysis function" is a technology that analyzes data such as the user's voice and facial expressions to infer their emotional state.

[0162] "Terminal" is a general term for computers and portable devices used by users for operation.

[0163] "Edit synchronization" is a feature that reflects edits made on multiple devices in real time, providing a collaborative work environment.

[0164] This invention is a system in which users, terminals, and servers work together to effectively manage digital projects and provide content that responds to the user's emotions.

[0165] First, the user enters authentication credentials to log in to the system using their device. The device then sends these credentials to the server. The server uses a secure protocol to verify the received credentials against a data storage device and authenticates the user. At this stage, the user can access the project dashboard.

[0166] Next, the user selects files of various formats from their terminal as part of the project and uploads them to the server. The terminal then processes these files as needed, such as by compressing or encrypting them, before sending them to the server. The server registers the received files in a history management system and performs version control, making it easy for the user to revert to previous versions.

[0167] When a user requests support for an ongoing project, a generative AI model is utilized. Using the camera and microphone on the device, the device analyzes the user's facial expressions and voice in real time. This data is then used to evaluate the user's emotional state via an emotion analysis function, and the results are sent to a server. Based on this information, the server uses the generative AI model to suggest the most relevant content for the project to the user.

[0168] For example, if it is determined that a user is stressed due to project deadlines, the server can suggest music or art to help them relax. An example of a prompt used in this case would be the instruction, "Suggest the most suitable relaxation content for a user who is stressed."

[0169] Thus, this system aims to enable flexible and personalized support for users, significantly improving the efficiency and quality of projects.

[0170] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0171] Step 1:

[0172] The user enters authentication information on the terminal. The terminal receives this input and sends the authentication information (e.g., user ID and password) to the server. The received information is encrypted and transmitted securely. The server verifies this information against the data storage device and outputs the authentication result. If authentication is successful, the server grants the user access to the project dashboard.

[0173] Step 2:

[0174] The user selects project-related files via a terminal and instructs it to upload them to the server. Based on the user's instructions, the terminal compresses the files and transfers them to the server. The server registers this file data with a history management system and creates a version history of the received files. This process allows the server to track and manage past and current versions of files.

[0175] Step 3:

[0176] The device uses its camera and microphone to collect the user's facial expressions and voice data. This data is analyzed using an emotion analysis function within the device to estimate the user's emotional state (e.g., stress level and relaxation level). The generated emotion data is sent to a server. The server receives this data and initiates further processes based on the user's emotional state.

[0177] Step 4:

[0178] The server uses a generative AI model to generate content tailored to the type of support the user is currently seeking (e.g., wanting to calm down, wanting stimulation). Emotional data and project progress are used as prompt text elements and input into the AI ​​model. The server outputs the generated content suggestions and sends them to the terminal.

[0179] Step 5:

[0180] The user receives and views content suggestions sent from the server on their device. They select the content they want to apply to their project from the suggested content. The selected content is then fed back to the server, which saves this feedback as data to make more effective content suggestions in the future.

[0181] (Application Example 2)

[0182] 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".

[0183] Traditional content distribution services have suffered from a lack of flexible content suggestions tailored to user emotions, resulting in insufficient provision of an optimized experience for individual users. In particular, it has been difficult for creators to manage diverse digital files while simultaneously receiving emotionally relevant content suggestions. Therefore, there is a need for a system that considers the user's emotional state and improves the efficiency and quality of projects.

[0184] 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.

[0185] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and suggesting project-related content using generative artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for recognizing the user's emotional state and adjusting content suggestions based on that emotional state. This enables flexible and personalized content suggestions that respond to the user's emotional state, thereby improving the efficiency and quality of the project.

[0186] "Authentication information" refers to information used to verify a user's identity when accessing a system, and includes usernames, passwords, fingerprint data, etc.

[0187] "Media format files" refer to digital data files that exist in multiple formats, such as text, images, audio, and video.

[0188] A "version control system" is a system that records the change history of a file and organizes and maintains different versions of the file.

[0189] "Generative artificial intelligence" is a general term for artificial intelligence technologies that have the ability to generate new information and content based on existing data and user input.

[0190] "Emotional state" refers to the psychological and emotional state that a user expresses in a specific context or situation, and includes examples such as joy, sadness, and anger.

[0191] "Real-time editing synchronization" is a technology that allows for the simultaneous reflection of file changes across multiple devices, enabling consistent workflow.

[0192] "Content proposal adjustment" is the process of modifying generated content according to the user's status and requests, and providing optimized content.

[0193] To implement this invention, the server first receives authentication information from the user and authenticates the user by comparing it with the database. This process allows the user to access the system securely. The server may be hosted on a cloud environment and uses a scalable database management system.

[0194] Next, the terminal collects files in multiple media formats and sends them to the server. The server registers these files with a version control system and records the file change history. A distributed version control system such as Git can be used for version control.

[0195] The device analyzes the user's emotional state in real time through its built-in camera and microphone. For this purpose, it utilizes image and speech recognition technologies, employing advanced libraries such as OpenCV and acoustic analysis libraries. The system uses an emotion engine to send the user's emotional data to a server, which then flexibly adjusts content suggestions based on this data. A generative AI model uses past user data and content history to provide optimal suggestions.

[0196] If the user is feeling relaxed, the server generates a story depicting healing music and calming natural scenery and delivers it to the user through the device. This suggestion uses a prompt message generated by the AI: "The user is feeling relaxed. Please suggest healing music and calming natural scenery."

[0197] Real-time editing synchronization across devices allows users to share the latest changes with others and consistently manage project progress. This utilizes real-time communication protocols and advanced data synchronization algorithms. This enables users to collaborate efficiently and produce optimal content.

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The server receives authentication information from the user. The received data includes authentication information such as the username and password. The server verifies this information against the database and completes user authentication. If successful, the user is granted permission to proceed to the next step.

[0201] Step 2:

[0202] The terminal retrieves files in multiple media formats from the user's device and sends them to the server. The transmitted data includes images, text, and audio files. The server registers these files in a version control system and manages the file change history. This allows the user to track file versions.

[0203] Step 3:

[0204] The device uses its built-in camera and microphone to capture real-time emotional data of the user. The input data consists of facial expressions and voice tone. An emotion engine analyzes this data to determine the user's emotional state. This information forms the basis for subsequent processing.

[0205] Step 4:

[0206] The server uses a generative AI model to suggest content based on the emotional state obtained from the emotion recognition engine. The input is the user's emotional data, which generates a prompt. As a result, content suggestions are generated and sent to the terminal. For example, a prompt such as "The user wants to relax. Please suggest healing music and calming nature scenery." might be used.

[0207] Step 5:

[0208] The terminal presents the user with content suggestions received from the server. The input at this stage is the content suggestions sent from the server. The output consists of options and recommended content that the user can view. The user makes a selection, and this selection is reflected in the next suggestion.

[0209] Step 6:

[0210] The terminal performs real-time editing synchronization and shares project progress with other users. Input is the user's current project status and edits. Output is the latest project data consistent with other users. This facilitates smooth collaborative work.

[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 provides a system for creators to collaborate on projects while efficiently managing digital files in various media formats. The system mainly consists of a server, terminals, and users.

[0228] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This allows the user to pass authentication and access the project dashboard.

[0229] Furthermore, the server receives files in various media formats uploaded from terminals and registers them in the version control system. This allows users to track the change history of files and revert to previous versions as needed. This provides greater editing freedom in the creative process.

[0230] Furthermore, the server uses generative artificial intelligence to generate content related to the project theme set by the user. Users can select content suggested by this AI and incorporate it into their project. This process makes it possible to bring new ideas and creative solutions to the project.

[0231] The terminal receives real-time edits made by other members during the project and reflects those changes on the user's screen. This ensures that team members are always aware of the latest project status, guaranteeing smooth communication and collaboration.

[0232] As a concrete example, consider a case where multiple creators collaborate to create a digital work. User A edits an image file and uploads it to the server. The server reflects the changes in the version control system and notifies other users' terminals in real time. When User B checks the changes and adds a video file, the same immediate synchronization and history management of changes are performed via the server.

[0233] This workflow enables seamless collaboration among users, improving the overall efficiency of the project. This invention removes the constraints of traditional creative processes and realizes a new form of collaboration.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user enters login information on their device and sends it to the server. The server compares the received authentication information with the information in its database to verify the user's identity. If authentication is successful, the server generates a session ID and sends it to the device.

[0237] Step 2:

[0238] Once authentication is complete, the user uploads the project file. The terminal sends the file in the selected media format to the server. The server registers the received file in the version control system, generates a hash value for the file, and compares it with previous versions.

[0239] Step 3:

[0240] The server records the new file version in the history management table and notifies the user that the file has been successfully updated. This notification is displayed to the user on their terminal.

[0241] Step 4:

[0242] When a user needs new content or ideas related to their project, they send a request from their device to the server. The server activates a generation artificial intelligence module to generate content and ideas based on the project's theme.

[0243] Step 5:

[0244] AI-generated content suggestions are sent from the server to the user's device, where the user reviews them. The user then accepts or modifies the suggestions and applies them to the project.

[0245] Step 6:

[0246] When other members participating in the project make changes to a file, the server receives that change information. The server then distributes the changes to the other members' terminals in real time.

[0247] Step 7:

[0248] The terminal instantly reflects received changes on the user's workspace and notifies them of the changes. The user can then check the latest project status and make further edits or provide feedback.

[0249] This entire process allows users to seamlessly manage their projects and perform editing tasks quickly and efficiently.

[0250] (Example 1)

[0251] 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".

[0252] In modern digital content creation, it is challenging for multiple creators to collaborate effectively while maintaining work efficiency, managing files in different media formats, real-time editing, and generating creative content. Many challenges exist, particularly regarding authentication security, history management, and the application of generated content.

[0253] 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.

[0254] In this invention, the server includes means for receiving authentication information from a user and authenticating the information by comparing it with a storage device, means for receiving data in multiple information formats and registering it on a history management platform, and means for generating and providing materials related to the work content using generative artificial intelligence. This enables each creator to collaborate safely and efficiently while smoothly generating and applying the necessary content.

[0255] A "user" is an individual or organization that uses the system to create or manage digital content.

[0256] "Authentication information" refers to individual identification information used to verify the identity of a user when they access a system.

[0257] A "storage device" is an electronic device or system used to store information so that it can be retrieved or retrieved later.

[0258] "Information format" refers to the various types and forms that digital data can take, such as text, images, and audio.

[0259] A "history management platform" is a system that manages the history of data changes and allows users to refer to or restore past states as needed.

[0260] "Generative artificial intelligence" refers to a program that uses technology to automatically create content tailored to a specific purpose.

[0261] "Documents" refer to digital content created for use or reference by users in relation to a project or work.

[0262] An "output device" is a device used in a computer or digital device to display or output results.

[0263] The system in this invention is a mechanism for efficiently managing collaborative work and providing digital content generation and version control. The system mainly consists of a server, terminals, and users.

[0264] The server receives authentication information from multiple users and compares it with data stored in its storage device. This establishes user authentication and enables secure access to the project dashboard. For example, an SQL database is used to model authentication information such as usernames and passwords and perform the comparison.

[0265] The terminal plays the role of uploading digital data in various information formats created or edited by the user to the server. This data is recorded on a version control platform on the server. This ensures that all change history is saved and comparisons with past versions are possible. Git is one of the version control systems used.

[0266] Furthermore, the server has the ability to generate highly relevant materials for the user using a generative AI model. Users can utilize this function by entering prompts. For example, if the prompt is "Please create some illustration ideas with a summer ocean theme," the AI ​​will generate relevant materials and suggest them to the user. In this case, models such as those from OpenAI are used.

[0267] Finally, if a terminal makes changes via the server, those changes are reflected in real time on all other output devices. This mechanism ensures that each user can always work with the latest information. For example, when user A changes an image, that change is immediately reflected on the terminals of all other members.

[0268] This system enables seamless collaboration among users and supports the efficient progress of creative projects.

[0269] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0270] Step 1:

[0271] The user enters authentication information using a device. The device sends this information to the server. The server receives this input and compares it with the recorded data. If the comparison is successful, the server generates an authentication success response and returns it to the device. As a result, the user can access the project dashboard.

[0272] Input: User authentication information (username, password)

[0273] Output: Authentication success or failure response

[0274] Step 2:

[0275] Users upload digital data they create or edit from their device to the server. The server receives the data and registers it in the history management platform. This data processing allows the server to create a commit for the new version. The saved version history is used by users to track changes and refer to past versions when they access the data later.

[0276] Input: Digital data uploaded by the user

[0277] Output: Registering the new version to the version control system

[0278] Step 3:

[0279] The user enters prompts to generate the content needed for the project. The terminal sends these prompts to the server. The server uses a generative AI model to generate materials based on the prompts. This data processing outputs content suggestions, which the server provides to the user.

[0280] Input: User prompt message

[0281] Output: Suggestions for materials generated by a generative AI model.

[0282] Step 4:

[0283] When another user makes changes to the project data, the server records those changes and notifies all relevant terminals. The terminals receive the notification and reflect the changes on the user's screen. This ensures that each member always has access to the latest state of the project.

[0284] Input: Data modified by other users

[0285] Output: Real-time change notification and reflection on the screen

[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 a "server", and the smart glasses 214 are referred to as a "terminal".

[0288] In the production of digital content, it is required that creators work together while efficiently managing data in various media formats. However, in the current system, it is difficult to maintain file consistency and achieve real-time synchronization when multiple creators perform editing simultaneously. Furthermore, there is an issue that means for immediately distributing digital information after generation and simple editing are not sufficiently provided.

[0289] The specific processing 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 information from a user, verifying the information in a database for authentication, means for receiving files in multiple media formats and registering them in a version management system, means for generating and proposing digital information related to a project using a generative artificial intelligence, means for performing real-time editing synchronization between terminals and reflecting changes to the project, and means for transmitting video data from a video recording device to the server and performing information distribution by adding information by artificial intelligence. This enables smooth collaborative work between creators and enables rapid processing and distribution of videos recorded on-site.

[0291] A "user" is an individual or group that can access the system and use various functions by undergoing authentication.

[0292] "Authentication information" refers to data used to verify the user's identity, and includes usernames, passwords, and other authentication methods.

[0293] A "database" is a system for centrally storing and managing information, and for performing matching and searching.

[0294] "Media format" refers to the format or type of digital file, and includes text, images, audio, and video.

[0295] A "version control system" is a system that records and tracks the change history of digital files, making it possible to restore them to a previous state.

[0296] "Generative artificial intelligence" is a computer program that generates new digital information based on input data and conditions.

[0297] "Digital information" refers to information that is recorded electronically and can be processed by communication or computer systems.

[0298] "Edit synchronization" is a process that instantly updates the edits made to digital files across multiple devices to maintain consistency.

[0299] A "video recording device" is a device used to record and digitize images and sound, and includes cameras and video recorders.

[0300] "Information distribution" refers to delivering generated or edited digital information to recipients in real time or at a specified time.

[0301] To implement this invention, a system combining multiple elements is required. This system consists of a server, a terminal, and a user, as described below.

[0302] The server performs authentication using a database in response to user requests. This is crucial for verifying the authentication information provided by the user and managing access rights. The database stores user information and access history, and after authentication, it enables access to the project dashboard. The server also manages files in multiple media formats received via a version control system. This allows for tracking the change history of each file and reverting files to previous states as needed, resulting in efficient project management.

[0303] The terminal synchronizes data editing with the server in real time as the project progresses. This feature allows project members to always work while checking the latest status. Additionally, data collected from the video recording device is sent to the server, and an AI model adds information based on that video data. This AI generates relevant content and explanatory information according to the project theme and prompt text, and integrates it into the video.

[0304] Users can select and incorporate content suggested by the generation AI model into their project. This selection process adds new creative ideas to the project, improving its quality. The generated video and content are distributed in real time via the server, providing rapid access to viewers.

[0305] A concrete example is a live music festival event where a creator using smart glasses captures live video footage and instantly sends the data to a server. The AI ​​model incorporates additional information and annotations into the video based on the festival's theme, creating content that conveys the live atmosphere of the event to the viewers. An example of a prompt in this case would be, "Generate annotations and graphics that match the festival's theme. Please also include information appropriate for the age range of the audience."

[0306] This system uses specific software such as Cloud Video Editor, AI Content Generator, and Wowza Streaming Engine, which enables smooth and effective production and distribution of digital content.

[0307] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0308] Step 1:

[0309] The server receives authentication information from the user's terminal. By comparing this input data with the user information in the database, it outputs whether the authentication is successful or failed. When the authentication is successful, access to the project dashboard is permitted.

[0310] Step 2:

[0311] The user uploads files in multiple media formats to the server through the terminal. The server registers these files in the version control system, records the change history of each file, and outputs whether the uploaded files are correctly added to the project. By registering the files, it becomes possible to track future change history.

[0312] Step 3:

[0313] The server uses the generative artificial intelligence to generate new digital information based on the prompt text. Taking this prompt text as input, it generates information and content related to the project theme and outputs it as the content to be proposed to the user. The user can select whether to incorporate the generated content into the project.

[0314] Step 4:

[0315] The terminal receives file changes and newly generated content from the server in real time. The server synchronizes and sends this data to the terminal, outputting the latest state of the project. This allows project participants to always work while checking the latest edits.

[0316] Step 5:

[0317] The user captures video footage on-site and sends the video data from the video recording device to the server. The server takes this video data as input, uses a generative AI model to add relevant information to the video, and outputs it as new video content. The generated content is immediately delivered to viewers through the information distribution system.

[0318] 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.

[0319] This invention incorporates an emotion engine into a system for collaborative work where creators can efficiently manage digital files in various media formats, enabling flexible content suggestions that respond to the user's emotions. The system mainly consists of a server, terminals, and users.

[0320] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This process allows the user to access the project dashboard after authentication.

[0321] The server receives files in multiple media formats from the terminal and registers them in the version control system. Users can use this function to track the change history of files and revert to previous versions as needed.

[0322] Furthermore, generative artificial intelligence is used to generate content related to the project theme set by the user. Here, the emotion engine recognizes the user's emotional state and adjusts the suggested content based on the results. For example, if the user is feeling stressed about the progress of the project, the engine will suggest content that is more relaxing.

[0323] This emotion recognition is performed by analyzing the user's facial expressions and voice tone through the camera and microphone installed in the device. The server uses the results of this analysis to determine the user's emotional state and improve the user experience by suggesting appropriate content.

[0324] For example, if a user is experiencing difficulties with a creative project and their facial expression shows signs of fatigue, the device sends this information to the server via its emotion engine. The server then generates content ideas to create a more relaxed atmosphere and provides them to the user. The user can then use these suggestions to gain new inspiration.

[0325] Thus, by combining an emotion engine, the present invention can provide users with highly flexible creative support. This further improves the efficiency and quality of projects and enhances the user experience.

[0326] The following describes the processing flow.

[0327] Step 1:

[0328] The user opens the login screen on their device and enters their username and password. The device sends the entered authentication information to the server. The server compares this information with the database to verify that the user has legitimate access rights. If authentication is successful, the server generates a session ID and sends it to the user's device.

[0329] Step 2:

[0330] The user selects the files to be used in the project and uploads them from their terminal to the server. The server registers the received files in the version control system and generates a hash value for the files to detect changes by comparing them with previous versions.

[0331] Step 3:

[0332] The server records the file's change history in a database and notifies the user. The terminal displays to the user that the upload is complete and version control is successful.

[0333] Step 4:

[0334] If the project is in progress, the user's device uses its camera and microphone to transmit the user's facial expressions and voice to the emotion engine. The emotion engine analyzes this data to determine the user's current emotional state.

[0335] Step 5:

[0336] The server receives the user's emotional state from the emotion engine and provides that information to the generating artificial intelligence. The AI ​​then generates optimal content and suggestions related to the project theme based on the user's situation. For example, if the user is feeling stressed, relaxing content will be suggested.

[0337] Step 6:

[0338] The server sends content suggestions generated by the AI ​​to the user's terminal. The user can receive these suggestions and use them in their project. If the user selects a suggestion, its content is reflected in the project.

[0339] Step 7:

[0340] When multiple members are involved in a project, the server sends each change to the other members' terminals in real time. The terminals display the latest status and notify the user of the changes. This ensures that all project participants always have access to the latest information.

[0341] This process allows users to efficiently manage files using the system, and creative activities are facilitated with the support of an emotion engine and generative artificial intelligence.

[0342] (Example 2)

[0343] 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".

[0344] In modern digital projects, team members are required to collaborate efficiently while handling diverse file formats. However, traditional systems suffer from cumbersome file and version control, leading to decreased work efficiency. Furthermore, because they provide uniform content suggestions without considering the emotional state of team members, it is difficult to provide support optimized for individual users.

[0345] 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.

[0346] In this invention, the server includes means for receiving authentication information from a user and verifying the information with a data storage device for authentication; means for receiving information in various formats and registering it with a history management device; means for generating and suggesting work-related content using a generative intelligence device; means for having an emotion analysis function to recognize the user's emotional state and adjust content suggestions; and means for performing real-time editing synchronization between terminals to reflect changes in work. As a result, users can improve the efficiency of file management while receiving appropriate content suggestions that match their emotions.

[0347] "Authentication information" refers to data used to verify an individual's identity when a user accesses a system.

[0348] A "data storage device" is a system component that securely stores information and allows for retrieval and verification as needed.

[0349] A "history management device" is a system function that tracks the change history of files and information, enabling comparison and restoration between different versions.

[0350] A "generative intelligence device" is an artificial intelligence system that automatically generates relevant content and information based on given data and instructions.

[0351] "Emotion analysis function" is a technology that analyzes data such as the user's voice and facial expressions to infer their emotional state.

[0352] "Terminal" is a general term for computers and portable devices used by users for operation.

[0353] "Edit synchronization" is a feature that reflects edits made on multiple devices in real time, providing a collaborative work environment.

[0354] This invention is a system in which users, terminals, and servers work together to effectively manage digital projects and provide content that responds to the user's emotions.

[0355] First, the user enters authentication credentials to log in to the system using their device. The device then sends these credentials to the server. The server uses a secure protocol to verify the received credentials against a data storage device and authenticates the user. At this stage, the user can access the project dashboard.

[0356] Next, the user selects files of various formats from their terminal as part of the project and uploads them to the server. The terminal then processes these files as needed, such as by compressing or encrypting them, before sending them to the server. The server registers the received files in a history management system and performs version control, making it easy for the user to revert to previous versions.

[0357] When a user requests support for an ongoing project, a generative AI model is utilized. Using the camera and microphone on the device, the device analyzes the user's facial expressions and voice in real time. This data is then used to evaluate the user's emotional state via an emotion analysis function, and the results are sent to a server. Based on this information, the server uses the generative AI model to suggest the most relevant content for the project to the user.

[0358] For example, if it is determined that a user is stressed due to project deadlines, the server can suggest music or art to help them relax. An example of a prompt used in this case would be the instruction, "Suggest the most suitable relaxation content for a user who is stressed."

[0359] Thus, this system aims to enable flexible and personalized support for users, significantly improving the efficiency and quality of projects.

[0360] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0361] Step 1:

[0362] The user enters authentication information on the terminal. The terminal receives this input and sends the authentication information (e.g., user ID and password) to the server. The received information is encrypted and transmitted securely. The server verifies this information against the data storage device and outputs the authentication result. If authentication is successful, the server grants the user access to the project dashboard.

[0363] Step 2:

[0364] The user selects project-related files via a terminal and instructs it to upload them to the server. Based on the user's instructions, the terminal compresses the files and transfers them to the server. The server registers this file data with a history management system and creates a version history of the received files. This process allows the server to track and manage past and current versions of files.

[0365] Step 3:

[0366] The device uses its camera and microphone to collect the user's facial expressions and voice data. This data is analyzed using an emotion analysis function within the device to estimate the user's emotional state (e.g., stress level and relaxation level). The generated emotion data is sent to a server. The server receives this data and initiates further processes based on the user's emotional state.

[0367] Step 4:

[0368] The server uses a generative AI model to generate content tailored to the type of support the user is currently seeking (e.g., wanting to calm down, wanting stimulation). Emotional data and project progress are used as prompt text elements and input into the AI ​​model. The server outputs the generated content suggestions and sends them to the terminal.

[0369] Step 5:

[0370] The user receives and views content suggestions sent from the server on their device. They select the content they want to apply to their project from the suggested content. The selected content is then fed back to the server, which saves this feedback as data to make more effective content suggestions in the future.

[0371] (Application Example 2)

[0372] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0373] Traditional content distribution services have suffered from a lack of flexible content suggestions tailored to user emotions, resulting in insufficient provision of an optimized experience for individual users. In particular, it has been difficult for creators to manage diverse digital files while simultaneously receiving emotionally relevant content suggestions. Therefore, there is a need for a system that considers the user's emotional state and improves the efficiency and quality of projects.

[0374] 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.

[0375] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and suggesting project-related content using generative artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for recognizing the user's emotional state and adjusting content suggestions based on that emotional state. This enables flexible and personalized content suggestions that respond to the user's emotional state, thereby improving the efficiency and quality of the project.

[0376] "Authentication information" refers to information used to verify a user's identity when accessing a system, and includes usernames, passwords, fingerprint data, etc.

[0377] "Media format files" refer to digital data files that exist in multiple formats, such as text, images, audio, and video.

[0378] A "version control system" is a system that records the change history of a file and organizes and maintains different versions of the file.

[0379] "Generative artificial intelligence" is a general term for artificial intelligence technologies that have the ability to generate new information and content based on existing data and user input.

[0380] "Emotional state" refers to the psychological and emotional state that a user expresses in a specific context or situation, and includes examples such as joy, sadness, and anger.

[0381] "Real-time editing synchronization" is a technology that allows for the simultaneous reflection of file changes across multiple devices, enabling consistent workflow.

[0382] "Content proposal adjustment" is the process of modifying generated content according to the user's status and requests, and providing optimized content.

[0383] To implement this invention, the server first receives authentication information from the user and authenticates the user by comparing it with the database. This process allows the user to access the system securely. The server may be hosted on a cloud environment and uses a scalable database management system.

[0384] Next, the terminal collects files in multiple media formats and sends them to the server. The server registers these files with a version control system and records the file change history. A distributed version control system such as Git can be used for version control.

[0385] The device analyzes the user's emotional state in real time through its built-in camera and microphone. For this purpose, it utilizes image and speech recognition technologies, employing advanced libraries such as OpenCV and acoustic analysis libraries. The system uses an emotion engine to send the user's emotional data to a server, which then flexibly adjusts content suggestions based on this data. A generative AI model uses past user data and content history to provide optimal suggestions.

[0386] If the user is feeling relaxed, the server generates a story depicting healing music and calming natural scenery and delivers it to the user through the device. This suggestion uses a prompt message generated by the AI: "The user is feeling relaxed. Please suggest healing music and calming natural scenery."

[0387] Real-time editing synchronization across devices allows users to share the latest changes with others and consistently manage project progress. This utilizes real-time communication protocols and advanced data synchronization algorithms. This enables users to collaborate efficiently and produce optimal content.

[0388] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0389] Step 1:

[0390] The server receives authentication information from the user. The received data includes authentication information such as the username and password. The server verifies this information against the database and completes user authentication. If successful, the user is granted permission to proceed to the next step.

[0391] Step 2:

[0392] The terminal retrieves files in multiple media formats from the user's device and sends them to the server. The transmitted data includes images, text, and audio files. The server registers these files in a version control system and manages the file change history. This allows the user to track file versions.

[0393] Step 3:

[0394] The device uses its built-in camera and microphone to capture real-time emotional data of the user. The input data consists of facial expressions and voice tone. An emotion engine analyzes this data to determine the user's emotional state. This information forms the basis for subsequent processing.

[0395] Step 4:

[0396] The server uses a generative AI model to suggest content based on the emotional state obtained from the emotion recognition engine. The input is the user's emotional data, which generates a prompt. As a result, content suggestions are generated and sent to the terminal. For example, a prompt such as "The user wants to relax. Please suggest healing music and calming nature scenery." might be used.

[0397] Step 5:

[0398] The terminal presents the user with content suggestions received from the server. The input at this stage is the content suggestions sent from the server. The output consists of options and recommended content that the user can view. The user makes a selection, and this selection is reflected in the next suggestion.

[0399] Step 6:

[0400] The terminal performs real-time editing synchronization and shares project progress with other users. Input is the user's current project status and edits. Output is the latest project data consistent with other users. This facilitates smooth collaborative work.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] [Third Embodiment]

[0405] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0406] 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.

[0407] 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).

[0408] 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.

[0409] 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.

[0410] 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).

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] 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.

[0416] 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".

[0417] This invention provides a system for creators to collaborate on projects while efficiently managing digital files in various media formats. The system mainly consists of a server, terminals, and users.

[0418] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This allows the user to pass authentication and access the project dashboard.

[0419] Furthermore, the server receives files in various media formats uploaded from terminals and registers them in the version control system. This allows users to track the change history of files and revert to previous versions as needed. This provides greater editing freedom in the creative process.

[0420] Furthermore, the server uses generative artificial intelligence to generate content related to the project theme set by the user. Users can select content suggested by this AI and incorporate it into their project. This process makes it possible to bring new ideas and creative solutions to the project.

[0421] The terminal receives real-time edits made by other members during the project and reflects those changes on the user's screen. This ensures that team members are always aware of the latest project status, guaranteeing smooth communication and collaboration.

[0422] As a concrete example, consider a case where multiple creators collaborate to create a digital work. User A edits an image file and uploads it to the server. The server reflects the changes in the version control system and notifies other users' terminals in real time. When User B checks the changes and adds a video file, the same immediate synchronization and history management of changes are performed via the server.

[0423] This workflow enables seamless collaboration among users, improving the overall efficiency of the project. This invention removes the constraints of traditional creative processes and realizes a new form of collaboration.

[0424] The following describes the processing flow.

[0425] Step 1:

[0426] The user enters login information on their device and sends it to the server. The server compares the received authentication information with the information in its database to verify the user's identity. If authentication is successful, the server generates a session ID and sends it to the device.

[0427] Step 2:

[0428] Once authentication is complete, the user uploads the project file. The terminal sends the file in the selected media format to the server. The server registers the received file in the version control system, generates a hash value for the file, and compares it with previous versions.

[0429] Step 3:

[0430] The server records the new file version in the history management table and notifies the user that the file has been successfully updated. This notification is displayed to the user on their terminal.

[0431] Step 4:

[0432] When a user needs new content or ideas related to their project, they send a request from their device to the server. The server activates a generation artificial intelligence module to generate content and ideas based on the project's theme.

[0433] Step 5:

[0434] AI-generated content suggestions are sent from the server to the user's device, where the user reviews them. The user then accepts or modifies the suggestions and applies them to the project.

[0435] Step 6:

[0436] When other members participating in the project make changes to a file, the server receives that change information. The server then distributes the changes to the other members' terminals in real time.

[0437] Step 7:

[0438] The terminal instantly reflects received changes on the user's workspace and notifies them of the changes. The user can then check the latest project status and make further edits or provide feedback.

[0439] This entire process allows users to seamlessly manage their projects and perform editing tasks quickly and efficiently.

[0440] (Example 1)

[0441] 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."

[0442] In modern digital content creation, it is challenging for multiple creators to collaborate effectively while maintaining work efficiency, managing files in different media formats, real-time editing, and generating creative content. Many challenges exist, particularly regarding authentication security, history management, and the application of generated content.

[0443] 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.

[0444] In this invention, the server includes means for receiving authentication information from a user and authenticating the information by comparing it with a storage device, means for receiving data in multiple information formats and registering it on a history management platform, and means for generating and providing materials related to the work content using generative artificial intelligence. This enables each creator to collaborate safely and efficiently while smoothly generating and applying the necessary content.

[0445] A "user" is an individual or organization that uses the system to create or manage digital content.

[0446] "Authentication information" refers to individual identification information used to verify the identity of a user when they access a system.

[0447] A "storage device" is an electronic device or system used to store information so that it can be retrieved or retrieved later.

[0448] "Information format" refers to the various types and forms that digital data can take, such as text, images, and audio.

[0449] A "history management platform" is a system that manages the history of data changes and allows users to refer to or restore past states as needed.

[0450] "Generative artificial intelligence" refers to a program that uses technology to automatically create content tailored to a specific purpose.

[0451] "Documents" refer to digital content created for use or reference by users in relation to a project or work.

[0452] An "output device" is a device used in a computer or digital device to display or output results.

[0453] The system in this invention is a mechanism for efficiently managing collaborative work and providing digital content generation and version control. The system mainly consists of a server, terminals, and users.

[0454] The server receives authentication information from multiple users and compares it with data stored in its storage device. This establishes user authentication and enables secure access to the project dashboard. For example, an SQL database is used to model authentication information such as usernames and passwords and perform the comparison.

[0455] The terminal plays the role of uploading digital data in various information formats created or edited by the user to the server. This data is recorded on a version control platform on the server. This ensures that all change history is saved and comparisons with past versions are possible. Git is one of the version control systems used.

[0456] Furthermore, the server has the ability to generate highly relevant materials for the user using a generative AI model. Users can utilize this function by entering prompts. For example, if the prompt is "Please create some illustration ideas with a summer ocean theme," the AI ​​will generate relevant materials and suggest them to the user. In this case, models such as those from OpenAI are used.

[0457] Finally, if a terminal makes changes via the server, those changes are reflected in real time on all other output devices. This mechanism ensures that each user can always work with the latest information. For example, when user A changes an image, that change is immediately reflected on the terminals of all other members.

[0458] This system enables seamless collaboration among users and supports the efficient progress of creative projects.

[0459] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0460] Step 1:

[0461] The user enters authentication information using a device. The device sends this information to the server. The server receives this input and compares it with the recorded data. If the comparison is successful, the server generates an authentication success response and returns it to the device. As a result, the user can access the project dashboard.

[0462] Input: User authentication information (username, password)

[0463] Output: Authentication success or failure response

[0464] Step 2:

[0465] Users upload digital data they create or edit from their device to the server. The server receives the data and registers it in the history management platform. This data processing allows the server to create a commit for the new version. The saved version history is used by users to track changes and refer to past versions when they access the data later.

[0466] Input: Digital data uploaded by the user

[0467] Output: Registering the new version to the version control system

[0468] Step 3:

[0469] The user enters prompts to generate the content needed for the project. The terminal sends these prompts to the server. The server uses a generative AI model to generate materials based on the prompts. This data processing outputs content suggestions, which the server provides to the user.

[0470] Input: User prompt message

[0471] Output: Suggestions for materials generated by a generative AI model.

[0472] Step 4:

[0473] When another user makes changes to the project data, the server records those changes and notifies all relevant terminals. The terminals receive the notification and reflect the changes on the user's screen. This ensures that each member always has access to the latest state of the project.

[0474] Input: Data modified by other users

[0475] Output: Real-time change notifications and screen updates.

[0476] (Application Example 1)

[0477] 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."

[0478] In digital content production, creators are required to efficiently manage data in various media formats and collaborate effectively. However, current systems make it difficult to maintain file integrity and achieve real-time synchronization when multiple creators are editing simultaneously. Furthermore, there is a lack of sufficient means to generate digital information, perform simple editing, and then immediately distribute it.

[0479] 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.

[0480] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and proposing digital information related to the project using artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for transmitting video data from a video recording device to the server, adding information using artificial intelligence, and distributing the information. This enables smooth collaborative work among creators and allows for the rapid processing and distribution of video recorded on-site.

[0481] A "user" is an individual or group that can access the system and use its various functions after being authenticated.

[0482] "Authentication information" refers to data used to verify the user's identity, and includes usernames, passwords, and other authentication methods.

[0483] A "database" is a system for centrally storing and managing information, and for performing matching and searching.

[0484] "Media format" refers to the format or type of digital file, and includes text, images, audio, and video.

[0485] A "version control system" is a system that records and tracks the change history of digital files, making it possible to restore them to a previous state.

[0486] "Generative artificial intelligence" is a computer program that generates new digital information based on input data and conditions.

[0487] "Digital information" refers to information that is recorded electronically and can be processed by communication or computer systems.

[0488] "Edit synchronization" is a process that instantly updates the edits made to digital files across multiple devices to maintain consistency.

[0489] A "video recording device" is a device used to record and digitize images and sound, and includes cameras and video recorders.

[0490] "Information distribution" refers to delivering generated or edited digital information to recipients in real time or at a specified time.

[0491] To implement this invention, a system combining multiple elements is required. This system consists of a server, a terminal, and a user, as described below.

[0492] The server performs authentication using a database in response to user requests. This is crucial for verifying the authentication information provided by the user and managing access rights. The database stores user information and access history, and after authentication, it enables access to the project dashboard. The server also manages files in multiple media formats received via a version control system. This allows for tracking the change history of each file and reverting files to previous states as needed, resulting in efficient project management.

[0493] The terminal synchronizes data editing with the server in real time as the project progresses. This feature allows project members to always work while checking the latest status. Additionally, data collected from the video recording device is sent to the server, and an AI model adds information based on that video data. This AI generates relevant content and explanatory information according to the project theme and prompt text, and integrates it into the video.

[0494] Users can select and incorporate content suggested by the generation AI model into their project. This selection process adds new creative ideas to the project, improving its quality. The generated video and content are distributed in real time via the server, providing rapid access to viewers.

[0495] A concrete example is a live music festival event where a creator using smart glasses captures live video footage and instantly sends the data to a server. The AI ​​model incorporates additional information and annotations into the video based on the festival's theme, creating content that conveys the live atmosphere of the event to the viewers. An example of a prompt in this case would be, "Generate annotations and graphics that match the festival's theme. Please also include information appropriate for the age range of the audience."

[0496] This system utilizes specific software such as Cloud Video Editor, AI Content Generator, and Wowza Streaming Engine, enabling smooth and effective creation and distribution of digital content.

[0497] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0498] Step 1:

[0499] The server receives authentication information from the user's device. By comparing this input data with the user information in the database, the server outputs whether authentication was successful or failed. If authentication is successful, access to the project dashboard is granted.

[0500] Step 2:

[0501] Users upload files in multiple media formats to the server via their devices. The server registers these files in a version control system, records the change history of each file, and outputs whether the uploaded files were correctly added to the project. File registration enables tracking of future change history.

[0502] Step 3:

[0503] The server uses generative artificial intelligence to generate new digital information based on a prompt. Taking this prompt as input, it generates information and content related to the project theme and outputs it as a suggestion to the user. The user can then choose whether or not to incorporate the generated content into their project.

[0504] Step 4:

[0505] The terminal receives file changes and newly generated content from the server in real time. The server synchronizes and sends this data to the terminal, outputting the latest state of the project. This allows project participants to always work while checking the latest edits.

[0506] Step 5:

[0507] The user captures video footage on-site and sends the video data from the video recording device to the server. The server takes this video data as input, uses a generative AI model to add relevant information to the video, and outputs it as new video content. The generated content is immediately delivered to viewers through the information distribution system.

[0508] 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.

[0509] This invention incorporates an emotion engine into a system for collaborative work where creators can efficiently manage digital files in various media formats, enabling flexible content suggestions that respond to the user's emotions. The system mainly consists of a server, terminals, and users.

[0510] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This process allows the user to access the project dashboard after authentication.

[0511] The server receives files in multiple media formats from the terminal and registers them in the version control system. Users can use this function to track the change history of files and revert to previous versions as needed.

[0512] Furthermore, generative artificial intelligence is used to generate content related to the project theme set by the user. Here, the emotion engine recognizes the user's emotional state and adjusts the suggested content based on the results. For example, if the user is feeling stressed about the progress of the project, the engine will suggest content that is more relaxing.

[0513] This emotion recognition is performed by analyzing the user's facial expressions and voice tone through the camera and microphone installed in the device. The server uses the results of this analysis to determine the user's emotional state and improve the user experience by suggesting appropriate content.

[0514] For example, if a user is experiencing difficulties with a creative project and their facial expression shows signs of fatigue, the device sends this information to the server via its emotion engine. The server then generates content ideas to create a more relaxed atmosphere and provides them to the user. The user can then use these suggestions to gain new inspiration.

[0515] Thus, by combining an emotion engine, the present invention can provide users with highly flexible creative support. This further improves the efficiency and quality of projects and enhances the user experience.

[0516] The following describes the processing flow.

[0517] Step 1:

[0518] The user opens the login screen on their device and enters their username and password. The device sends the entered authentication information to the server. The server compares this information with the database to verify that the user has legitimate access rights. If authentication is successful, the server generates a session ID and sends it to the user's device.

[0519] Step 2:

[0520] The user selects the files to be used in the project and uploads them from their terminal to the server. The server registers the received files in the version control system and generates a hash value for the files to detect changes by comparing them with previous versions.

[0521] Step 3:

[0522] The server records the file's change history in a database and notifies the user. The terminal displays to the user that the upload is complete and version control is successful.

[0523] Step 4:

[0524] If the project is in progress, the user's device uses its camera and microphone to transmit the user's facial expressions and voice to the emotion engine. The emotion engine analyzes this data to determine the user's current emotional state.

[0525] Step 5:

[0526] The server receives the user's emotional state from the emotion engine and provides that information to the generating artificial intelligence. The AI ​​then generates optimal content and suggestions related to the project theme based on the user's situation. For example, if the user is feeling stressed, relaxing content will be suggested.

[0527] Step 6:

[0528] The server sends content suggestions generated by the AI ​​to the user's terminal. The user can receive these suggestions and use them in their project. If the user selects a suggestion, its content is reflected in the project.

[0529] Step 7:

[0530] When multiple members are involved in a project, the server sends each change to the other members' terminals in real time. The terminals display the latest status and notify the user of the changes. This ensures that all project participants always have access to the latest information.

[0531] This process allows users to efficiently manage files using the system, and creative activities are facilitated with the support of an emotion engine and generative artificial intelligence.

[0532] (Example 2)

[0533] 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."

[0534] In modern digital projects, team members are required to collaborate efficiently while handling diverse file formats. However, traditional systems suffer from cumbersome file and version control, leading to decreased work efficiency. Furthermore, because they provide uniform content suggestions without considering the emotional state of team members, it is difficult to provide support optimized for individual users.

[0535] 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.

[0536] In this invention, the server includes means for receiving authentication information from a user and verifying the information with a data storage device for authentication; means for receiving information in various formats and registering it with a history management device; means for generating and suggesting work-related content using a generative intelligence device; means for having an emotion analysis function to recognize the user's emotional state and adjust content suggestions; and means for performing real-time editing synchronization between terminals to reflect changes in work. As a result, users can improve the efficiency of file management while receiving appropriate content suggestions that match their emotions.

[0537] "Authentication information" refers to data used to verify an individual's identity when a user accesses a system.

[0538] A "data storage device" is a system component that securely stores information and allows for retrieval and verification as needed.

[0539] A "history management device" is a system function that tracks the change history of files and information, enabling comparison and restoration between different versions.

[0540] A "generative intelligence device" is an artificial intelligence system that automatically generates relevant content and information based on given data and instructions.

[0541] "Emotion analysis function" is a technology that analyzes data such as the user's voice and facial expressions to infer their emotional state.

[0542] "Terminal" is a general term for computers and portable devices used by users for operation.

[0543] "Edit synchronization" is a feature that reflects edits made on multiple devices in real time, providing a collaborative work environment.

[0544] This invention is a system in which users, terminals, and servers work together to effectively manage digital projects and provide content that responds to the user's emotions.

[0545] First, the user enters authentication credentials to log in to the system using their device. The device then sends these credentials to the server. The server uses a secure protocol to verify the received credentials against a data storage device and authenticates the user. At this stage, the user can access the project dashboard.

[0546] Next, the user selects files of various formats from their terminal as part of the project and uploads them to the server. The terminal then processes these files as needed, such as by compressing or encrypting them, before sending them to the server. The server registers the received files in a history management system and performs version control, making it easy for the user to revert to previous versions.

[0547] When a user requests support for an ongoing project, a generative AI model is utilized. Using the camera and microphone on the device, the device analyzes the user's facial expressions and voice in real time. This data is then used to evaluate the user's emotional state via an emotion analysis function, and the results are sent to a server. Based on this information, the server uses the generative AI model to suggest the most relevant content for the project to the user.

[0548] For example, if it is determined that a user is stressed due to project deadlines, the server can suggest music or art to help them relax. An example of a prompt used in this case would be the instruction, "Suggest the most suitable relaxation content for a user who is stressed."

[0549] Thus, this system aims to enable flexible and personalized support for users, significantly improving the efficiency and quality of projects.

[0550] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0551] Step 1:

[0552] The user enters authentication information on the terminal. The terminal receives this input and sends the authentication information (e.g., user ID and password) to the server. The received information is encrypted and transmitted securely. The server verifies this information against the data storage device and outputs the authentication result. If authentication is successful, the server grants the user access to the project dashboard.

[0553] Step 2:

[0554] The user selects project-related files via a terminal and instructs it to upload them to the server. Based on the user's instructions, the terminal compresses the files and transfers them to the server. The server registers this file data with a history management system and creates a version history of the received files. This process allows the server to track and manage past and current versions of files.

[0555] Step 3:

[0556] The device uses its camera and microphone to collect the user's facial expressions and voice data. This data is analyzed using an emotion analysis function within the device to estimate the user's emotional state (e.g., stress level and relaxation level). The generated emotion data is sent to a server. The server receives this data and initiates further processes based on the user's emotional state.

[0557] Step 4:

[0558] The server uses a generative AI model to generate content tailored to the type of support the user is currently seeking (e.g., wanting to calm down, wanting stimulation). Emotional data and project progress are used as prompt text elements and input into the AI ​​model. The server outputs the generated content suggestions and sends them to the terminal.

[0559] Step 5:

[0560] The user receives and views content suggestions sent from the server on their device. They select the content they want to apply to their project from the suggested content. The selected content is then fed back to the server, which saves this feedback as data to make more effective content suggestions in the future.

[0561] (Application Example 2)

[0562] 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."

[0563] Traditional content distribution services have suffered from a lack of flexible content suggestions tailored to user emotions, resulting in insufficient provision of an optimized experience for individual users. In particular, it has been difficult for creators to manage diverse digital files while simultaneously receiving emotionally relevant content suggestions. Therefore, there is a need for a system that considers the user's emotional state and improves the efficiency and quality of projects.

[0564] 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.

[0565] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and suggesting project-related content using generative artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for recognizing the user's emotional state and adjusting content suggestions based on that emotional state. This enables flexible and personalized content suggestions that respond to the user's emotional state, thereby improving the efficiency and quality of the project.

[0566] "Authentication information" refers to information used to verify a user's identity when accessing a system, and includes usernames, passwords, fingerprint data, etc.

[0567] "Media format files" refer to digital data files that exist in multiple formats, such as text, images, audio, and video.

[0568] A "version control system" is a system that records the change history of a file and organizes and maintains different versions of the file.

[0569] "Generative artificial intelligence" is a general term for artificial intelligence technologies that have the ability to generate new information and content based on existing data and user input.

[0570] "Emotional state" refers to the psychological and emotional state that a user expresses in a specific context or situation, and includes examples such as joy, sadness, and anger.

[0571] "Real-time editing synchronization" is a technology that allows for the simultaneous reflection of file changes across multiple devices, enabling consistent workflow.

[0572] "Content proposal adjustment" is the process of modifying generated content according to the user's status and requests, and providing optimized content.

[0573] To implement this invention, the server first receives authentication information from the user and authenticates the user by comparing it with the database. This process allows the user to access the system securely. The server may be hosted on a cloud environment and uses a scalable database management system.

[0574] Next, the terminal collects files in multiple media formats and sends them to the server. The server registers these files with a version control system and records the file change history. A distributed version control system such as Git can be used for version control.

[0575] The device analyzes the user's emotional state in real time through its built-in camera and microphone. For this purpose, it utilizes image and speech recognition technologies, employing advanced libraries such as OpenCV and acoustic analysis libraries. The system uses an emotion engine to send the user's emotional data to a server, which then flexibly adjusts content suggestions based on this data. A generative AI model uses past user data and content history to provide optimal suggestions.

[0576] If the user is feeling relaxed, the server generates a story depicting healing music and calming natural scenery and delivers it to the user through the device. This suggestion uses a prompt message generated by the AI: "The user is feeling relaxed. Please suggest healing music and calming natural scenery."

[0577] Real-time editing synchronization across devices allows users to share the latest changes with others and consistently manage project progress. This utilizes real-time communication protocols and advanced data synchronization algorithms. This enables users to collaborate efficiently and produce optimal content.

[0578] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0579] Step 1:

[0580] The server receives authentication information from the user. The received data includes authentication information such as the username and password. The server verifies this information against the database and completes user authentication. If successful, the user is granted permission to proceed to the next step.

[0581] Step 2:

[0582] The terminal retrieves files in multiple media formats from the user's device and sends them to the server. The transmitted data includes images, text, and audio files. The server registers these files in a version control system and manages the file change history. This allows the user to track file versions.

[0583] Step 3:

[0584] The device uses its built-in camera and microphone to capture real-time emotional data of the user. The input data consists of facial expressions and voice tone. An emotion engine analyzes this data to determine the user's emotional state. This information forms the basis for subsequent processing.

[0585] Step 4:

[0586] The server uses a generative AI model to suggest content based on the emotional state obtained from the emotion recognition engine. The input is the user's emotional data, which generates a prompt. As a result, content suggestions are generated and sent to the terminal. For example, a prompt such as "The user wants to relax. Please suggest healing music and calming nature scenery." might be used.

[0587] Step 5:

[0588] The terminal presents the user with content suggestions received from the server. The input at this stage is the content suggestions sent from the server. The output consists of options and recommended content that the user can view. The user makes a selection, and this selection is reflected in the next suggestion.

[0589] Step 6:

[0590] The terminal performs real-time editing synchronization and shares project progress with other users. Input is the user's current project status and edits. Output is the latest project data consistent with other users. This facilitates smooth collaborative work.

[0591] 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.

[0592] 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.

[0593] 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.

[0594] [Fourth Embodiment]

[0595] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0596] 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.

[0597] 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).

[0598] 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.

[0599] 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.

[0600] 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).

[0601] 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.

[0602] 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.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] 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".

[0608] This invention provides a system for creators to collaborate on projects while efficiently managing digital files in various media formats. The system mainly consists of a server, terminals, and users.

[0609] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This allows the user to pass authentication and access the project dashboard.

[0610] Furthermore, the server receives files in various media formats uploaded from terminals and registers them in the version control system. This allows users to track the change history of files and revert to previous versions as needed. This provides greater editing freedom in the creative process.

[0611] Furthermore, the server uses generative artificial intelligence to generate content related to the project theme set by the user. Users can select content suggested by this AI and incorporate it into their project. This process makes it possible to bring new ideas and creative solutions to the project.

[0612] The terminal receives real-time edits made by other members during the project and reflects those changes on the user's screen. This ensures that team members are always aware of the latest project status, guaranteeing smooth communication and collaboration.

[0613] As a concrete example, consider a case where multiple creators collaborate to create a digital work. User A edits an image file and uploads it to the server. The server reflects the changes in the version control system and notifies other users' terminals in real time. When User B checks the changes and adds a video file, the same immediate synchronization and history management of changes are performed via the server.

[0614] This workflow enables seamless collaboration among users, improving the overall efficiency of the project. This invention removes the constraints of traditional creative processes and realizes a new form of collaboration.

[0615] The following describes the processing flow.

[0616] Step 1:

[0617] The user enters login information on their device and sends it to the server. The server compares the received authentication information with the information in its database to verify the user's identity. If authentication is successful, the server generates a session ID and sends it to the device.

[0618] Step 2:

[0619] Once authentication is complete, the user uploads the project file. The terminal sends the file in the selected media format to the server. The server registers the received file in the version control system, generates a hash value for the file, and compares it with previous versions.

[0620] Step 3:

[0621] The server records the new file version in the history management table and notifies the user that the file has been successfully updated. This notification is displayed to the user on their terminal.

[0622] Step 4:

[0623] When a user needs new content or ideas related to their project, they send a request from their device to the server. The server activates a generation artificial intelligence module to generate content and ideas based on the project's theme.

[0624] Step 5:

[0625] AI-generated content suggestions are sent from the server to the user's device, where the user reviews them. The user then accepts or modifies the suggestions and applies them to the project.

[0626] Step 6:

[0627] When other members participating in the project make changes to a file, the server receives that change information. The server then distributes the changes to the other members' terminals in real time.

[0628] Step 7:

[0629] The terminal instantly reflects received changes on the user's workspace and notifies them of the changes. The user can then check the latest project status and make further edits or provide feedback.

[0630] This entire process allows users to seamlessly manage their projects and perform editing tasks quickly and efficiently.

[0631] (Example 1)

[0632] 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".

[0633] In modern digital content creation, it is challenging for multiple creators to collaborate effectively while maintaining work efficiency, managing files in different media formats, real-time editing, and generating creative content. Many challenges exist, particularly regarding authentication security, history management, and the application of generated content.

[0634] 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.

[0635] In this invention, the server includes means for receiving authentication information from a user and authenticating the information by comparing it with a storage device, means for receiving data in multiple information formats and registering it on a history management platform, and means for generating and providing materials related to the work content using generative artificial intelligence. This enables each creator to collaborate safely and efficiently while smoothly generating and applying the necessary content.

[0636] A "user" is an individual or organization that uses the system to create or manage digital content.

[0637] "Authentication information" refers to individual identification information used to verify the identity of a user when they access a system.

[0638] A "storage device" is an electronic device or system used to store information so that it can be retrieved or retrieved later.

[0639] "Information format" refers to the various types and forms that digital data can take, such as text, images, and audio.

[0640] A "history management platform" is a system that manages the history of data changes and allows users to refer to or restore past states as needed.

[0641] "Generative artificial intelligence" refers to a program that uses technology to automatically create content tailored to a specific purpose.

[0642] "Documents" refer to digital content created for use or reference by users in relation to a project or work.

[0643] An "output device" is a device used in a computer or digital device to display or output results.

[0644] The system in this invention is a mechanism for efficiently managing collaborative work and providing digital content generation and version control. The system mainly consists of a server, terminals, and users.

[0645] The server receives authentication information from multiple users and compares it with data stored in its storage device. This establishes user authentication and enables secure access to the project dashboard. For example, an SQL database is used to model authentication information such as usernames and passwords and perform the comparison.

[0646] The terminal plays the role of uploading digital data in various information formats created or edited by the user to the server. This data is recorded on a version control platform on the server. This ensures that all change history is saved and comparisons with past versions are possible. Git is one of the version control systems used.

[0647] Furthermore, the server has the ability to generate highly relevant materials for the user using a generative AI model. Users can utilize this function by entering prompts. For example, if the prompt is "Please create some illustration ideas with a summer ocean theme," the AI ​​will generate relevant materials and suggest them to the user. In this case, models such as those from OpenAI are used.

[0648] Finally, if a terminal makes changes via the server, those changes are reflected in real time on all other output devices. This mechanism ensures that each user can always work with the latest information. For example, when user A changes an image, that change is immediately reflected on the terminals of all other members.

[0649] This system enables seamless collaboration among users and supports the efficient progress of creative projects.

[0650] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0651] Step 1:

[0652] The user enters authentication information using a device. The device sends this information to the server. The server receives this input and compares it with the recorded data. If the comparison is successful, the server generates an authentication success response and returns it to the device. As a result, the user can access the project dashboard.

[0653] Input: User authentication information (username, password)

[0654] Output: Authentication success or failure response

[0655] Step 2:

[0656] Users upload digital data they create or edit from their device to the server. The server receives the data and registers it in the history management platform. This data processing allows the server to create a commit for the new version. The saved version history is used by users to track changes and refer to past versions when they access the data later.

[0657] Input: Digital data uploaded by the user

[0658] Output: Registering the new version to the version control system

[0659] Step 3:

[0660] The user enters prompts to generate the content needed for the project. The terminal sends these prompts to the server. The server uses a generative AI model to generate materials based on the prompts. This data processing outputs content suggestions, which the server provides to the user.

[0661] Input: User prompt message

[0662] Output: Suggestions for materials generated by a generative AI model.

[0663] Step 4:

[0664] When another user makes changes to the project data, the server records those changes and notifies all relevant terminals. The terminals receive the notification and reflect the changes on the user's screen. This ensures that each member always has access to the latest state of the project.

[0665] Input: Data modified by other users

[0666] Output: Real-time change notifications and screen updates.

[0667] (Application Example 1)

[0668] 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".

[0669] In digital content production, creators are required to efficiently manage data in various media formats and collaborate effectively. However, current systems make it difficult to maintain file integrity and achieve real-time synchronization when multiple creators are editing simultaneously. Furthermore, there is a lack of sufficient means to generate digital information, perform simple editing, and then immediately distribute it.

[0670] 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.

[0671] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and proposing digital information related to the project using artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for transmitting video data from a video recording device to the server, adding information using artificial intelligence, and distributing the information. This enables smooth collaborative work among creators and allows for the rapid processing and distribution of video recorded on-site.

[0672] A "user" is an individual or group that can access the system and use its various functions after being authenticated.

[0673] "Authentication information" refers to data used to verify the user's identity, and includes usernames, passwords, and other authentication methods.

[0674] A "database" is a system for centrally storing and managing information, and for performing matching and searching.

[0675] "Media format" refers to the format or type of digital file, and includes text, images, audio, and video.

[0676] A "version control system" is a system that records and tracks the change history of digital files, making it possible to restore them to a previous state.

[0677] "Generative artificial intelligence" is a computer program that generates new digital information based on input data and conditions.

[0678] "Digital information" refers to information that is recorded electronically and can be processed by communication or computer systems.

[0679] "Edit synchronization" is a process that instantly updates the edits made to digital files across multiple devices to maintain consistency.

[0680] A "video recording device" is a device used to record and digitize images and sound, and includes cameras and video recorders.

[0681] "Information distribution" refers to delivering generated or edited digital information to recipients in real time or at a specified time.

[0682] To implement this invention, a system combining multiple elements is required. This system consists of a server, a terminal, and a user, as described below.

[0683] The server performs authentication using a database in response to user requests. This is crucial for verifying the authentication information provided by the user and managing access rights. The database stores user information and access history, and after authentication, it enables access to the project dashboard. The server also manages files in multiple media formats received via a version control system. This allows for tracking the change history of each file and reverting files to previous states as needed, resulting in efficient project management.

[0684] The terminal synchronizes data editing with the server in real time as the project progresses. This feature allows project members to always work while checking the latest status. Additionally, data collected from the video recording device is sent to the server, and an AI model adds information based on that video data. This AI generates relevant content and explanatory information according to the project theme and prompt text, and integrates it into the video.

[0685] Users can select and incorporate content suggested by the generation AI model into their project. This selection process adds new creative ideas to the project, improving its quality. The generated video and content are distributed in real time via the server, providing rapid access to viewers.

[0686] A concrete example is a live music festival event where a creator using smart glasses captures live video footage and instantly sends the data to a server. The AI ​​model incorporates additional information and annotations into the video based on the festival's theme, creating content that conveys the live atmosphere of the event to the viewers. An example of a prompt in this case would be, "Generate annotations and graphics that match the festival's theme. Please also include information appropriate for the age range of the audience."

[0687] This system utilizes specific software such as Cloud Video Editor, AI Content Generator, and Wowza Streaming Engine, enabling smooth and effective creation and distribution of digital content.

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

[0689] Step 1:

[0690] The server receives authentication information from the user's device. By comparing this input data with the user information in the database, the server outputs whether authentication was successful or failed. If authentication is successful, access to the project dashboard is granted.

[0691] Step 2:

[0692] Users upload files in multiple media formats to the server via their devices. The server registers these files in a version control system, records the change history of each file, and outputs whether the uploaded files were correctly added to the project. File registration enables tracking of future change history.

[0693] Step 3:

[0694] The server uses generative artificial intelligence to generate new digital information based on a prompt. Taking this prompt as input, it generates information and content related to the project theme and outputs it as a suggestion to the user. The user can then choose whether or not to incorporate the generated content into their project.

[0695] Step 4:

[0696] The terminal receives file changes and newly generated content from the server in real time. The server synchronizes and sends this data to the terminal, outputting the latest state of the project. This allows project participants to always work while checking the latest edits.

[0697] Step 5:

[0698] The user captures video footage on-site and sends the video data from the video recording device to the server. The server takes this video data as input, uses a generative AI model to add relevant information to the video, and outputs it as new video content. The generated content is immediately delivered to viewers through the information distribution system.

[0699] 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.

[0700] This invention incorporates an emotion engine into a system for collaborative work where creators can efficiently manage digital files in various media formats, enabling flexible content suggestions that respond to the user's emotions. The system mainly consists of a server, terminals, and users.

[0701] The server receives authentication information sent by the user and verifies the user's identity by comparing it with the database. This process allows the user to access the project dashboard after authentication.

[0702] The server receives files in multiple media formats from the terminal and registers them in the version control system. Users can use this function to track the change history of files and revert to previous versions as needed.

[0703] Furthermore, generative artificial intelligence is used to generate content related to the project theme set by the user. Here, the emotion engine recognizes the user's emotional state and adjusts the suggested content based on the results. For example, if the user is feeling stressed about the progress of the project, the engine will suggest content that is more relaxing.

[0704] This emotion recognition is performed by analyzing the user's facial expressions and voice tone through the camera and microphone installed in the device. The server uses the results of this analysis to determine the user's emotional state and improve the user experience by suggesting appropriate content.

[0705] For example, if a user is experiencing difficulties with a creative project and their facial expression shows signs of fatigue, the device sends this information to the server via its emotion engine. The server then generates content ideas to create a more relaxed atmosphere and provides them to the user. The user can then use these suggestions to gain new inspiration.

[0706] Thus, by combining an emotion engine, the present invention can provide users with highly flexible creative support. This further improves the efficiency and quality of projects and enhances the user experience.

[0707] The following describes the processing flow.

[0708] Step 1:

[0709] The user opens the login screen on their device and enters their username and password. The device sends the entered authentication information to the server. The server compares this information with the database to verify that the user has legitimate access rights. If authentication is successful, the server generates a session ID and sends it to the user's device.

[0710] Step 2:

[0711] The user selects the files to be used in the project and uploads them from their terminal to the server. The server registers the received files in the version control system and generates a hash value for the files to detect changes by comparing them with previous versions.

[0712] Step 3:

[0713] The server records the file's change history in a database and notifies the user. The terminal displays to the user that the upload is complete and version control is successful.

[0714] Step 4:

[0715] If the project is in progress, the user's device uses its camera and microphone to transmit the user's facial expressions and voice to the emotion engine. The emotion engine analyzes this data to determine the user's current emotional state.

[0716] Step 5:

[0717] The server receives the user's emotional state from the emotion engine and provides that information to the generating artificial intelligence. The AI ​​then generates optimal content and suggestions related to the project theme based on the user's situation. For example, if the user is feeling stressed, relaxing content will be suggested.

[0718] Step 6:

[0719] The server sends content suggestions generated by the AI ​​to the user's terminal. The user can receive these suggestions and use them in their project. If the user selects a suggestion, its content is reflected in the project.

[0720] Step 7:

[0721] When multiple members are involved in a project, the server sends each change to the other members' terminals in real time. The terminals display the latest status and notify the user of the changes. This ensures that all project participants always have access to the latest information.

[0722] This process allows users to efficiently manage files using the system, and creative activities are facilitated with the support of an emotion engine and generative artificial intelligence.

[0723] (Example 2)

[0724] 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".

[0725] In modern digital projects, team members are required to collaborate efficiently while handling diverse file formats. However, traditional systems suffer from cumbersome file and version control, leading to decreased work efficiency. Furthermore, because they provide uniform content suggestions without considering the emotional state of team members, it is difficult to provide support optimized for individual users.

[0726] 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.

[0727] In this invention, the server includes means for receiving authentication information from a user and verifying the information with a data storage device for authentication; means for receiving information in various formats and registering it with a history management device; means for generating and suggesting work-related content using a generative intelligence device; means for having an emotion analysis function to recognize the user's emotional state and adjust content suggestions; and means for performing real-time editing synchronization between terminals to reflect changes in work. As a result, users can improve the efficiency of file management while receiving appropriate content suggestions that match their emotions.

[0728] "Authentication information" refers to data used to verify an individual's identity when a user accesses a system.

[0729] A "data storage device" is a system component that securely stores information and allows for retrieval and verification as needed.

[0730] A "history management device" is a system function that tracks the change history of files and information, enabling comparison and restoration between different versions.

[0731] A "generative intelligence device" is an artificial intelligence system that automatically generates relevant content and information based on given data and instructions.

[0732] "Emotion analysis function" is a technology that analyzes data such as the user's voice and facial expressions to infer their emotional state.

[0733] "Terminal" is a general term for computers and portable devices used by users for operation.

[0734] "Edit synchronization" is a feature that reflects edits made on multiple devices in real time, providing a collaborative work environment.

[0735] This invention is a system in which users, terminals, and servers work together to effectively manage digital projects and provide content that responds to the user's emotions.

[0736] First, the user enters authentication credentials to log in to the system using their device. The device then sends these credentials to the server. The server uses a secure protocol to verify the received credentials against a data storage device and authenticates the user. At this stage, the user can access the project dashboard.

[0737] Next, the user selects files of various formats from their terminal as part of the project and uploads them to the server. The terminal then processes these files as needed, such as by compressing or encrypting them, before sending them to the server. The server registers the received files in a history management system and performs version control, making it easy for the user to revert to previous versions.

[0738] When a user requests support for an ongoing project, a generative AI model is utilized. Using the camera and microphone on the device, the device analyzes the user's facial expressions and voice in real time. This data is then used to evaluate the user's emotional state via an emotion analysis function, and the results are sent to a server. Based on this information, the server uses the generative AI model to suggest the most relevant content for the project to the user.

[0739] For example, if it is determined that a user is stressed due to project deadlines, the server can suggest music or art to help them relax. An example of a prompt used in this case would be the instruction, "Suggest the most suitable relaxation content for a user who is stressed."

[0740] Thus, this system aims to enable flexible and personalized support for users, significantly improving the efficiency and quality of projects.

[0741] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0742] Step 1:

[0743] The user enters authentication information on the terminal. The terminal receives this input and sends the authentication information (e.g., user ID and password) to the server. The received information is encrypted and transmitted securely. The server verifies this information against the data storage device and outputs the authentication result. If authentication is successful, the server grants the user access to the project dashboard.

[0744] Step 2:

[0745] The user selects project-related files via a terminal and instructs it to upload them to the server. Based on the user's instructions, the terminal compresses the files and transfers them to the server. The server registers this file data with a history management system and creates a version history of the received files. This process allows the server to track and manage past and current versions of files.

[0746] Step 3:

[0747] The device uses its camera and microphone to collect the user's facial expressions and voice data. This data is analyzed using an emotion analysis function within the device to estimate the user's emotional state (e.g., stress level and relaxation level). The generated emotion data is sent to a server. The server receives this data and initiates further processes based on the user's emotional state.

[0748] Step 4:

[0749] The server uses a generative AI model to generate content tailored to the type of support the user is currently seeking (e.g., wanting to calm down, wanting stimulation). Emotional data and project progress are used as prompt text elements and input into the AI ​​model. The server outputs the generated content suggestions and sends them to the terminal.

[0750] Step 5:

[0751] The user receives and views content suggestions sent from the server on their device. They select the content they want to apply to their project from the suggested content. The selected content is then fed back to the server, which saves this feedback as data to make more effective content suggestions in the future.

[0752] (Application Example 2)

[0753] 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".

[0754] Traditional content distribution services have suffered from a lack of flexible content suggestions tailored to user emotions, resulting in insufficient provision of an optimized experience for individual users. In particular, it has been difficult for creators to manage diverse digital files while simultaneously receiving emotionally relevant content suggestions. Therefore, there is a need for a system that considers the user's emotional state and improves the efficiency and quality of projects.

[0755] 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.

[0756] In this invention, the server includes means for receiving authentication information from a user and verifying the information against a database for authentication; means for receiving files in multiple media formats and registering them in a version control system; means for generating and suggesting project-related content using generative artificial intelligence; means for performing real-time editing synchronization between terminals to reflect changes in the project; and means for recognizing the user's emotional state and adjusting content suggestions based on that emotional state. This enables flexible and personalized content suggestions that respond to the user's emotional state, thereby improving the efficiency and quality of the project.

[0757] "Authentication information" refers to information used to verify a user's identity when accessing a system, and includes usernames, passwords, fingerprint data, etc.

[0758] "Media format files" refer to digital data files that exist in multiple formats, such as text, images, audio, and video.

[0759] A "version control system" is a system that records the change history of a file and organizes and maintains different versions of the file.

[0760] "Generative artificial intelligence" is a general term for artificial intelligence technologies that have the ability to generate new information and content based on existing data and user input.

[0761] "Emotional state" refers to the psychological and emotional state that a user expresses in a specific context or situation, and includes examples such as joy, sadness, and anger.

[0762] "Real-time editing synchronization" is a technology that allows for the simultaneous reflection of file changes across multiple devices, enabling consistent workflow.

[0763] "Content proposal adjustment" is the process of modifying generated content according to the user's status and requests, and providing optimized content.

[0764] To implement this invention, the server first receives authentication information from the user and authenticates the user by comparing it with the database. This process allows the user to access the system securely. The server may be hosted on a cloud environment and uses a scalable database management system.

[0765] Next, the terminal collects files in multiple media formats and sends them to the server. The server registers these files with a version control system and records the file change history. A distributed version control system such as Git can be used for version control.

[0766] The device analyzes the user's emotional state in real time through its built-in camera and microphone. For this purpose, it utilizes image and speech recognition technologies, employing advanced libraries such as OpenCV and acoustic analysis libraries. The system uses an emotion engine to send the user's emotional data to a server, which then flexibly adjusts content suggestions based on this data. A generative AI model uses past user data and content history to provide optimal suggestions.

[0767] If the user is feeling relaxed, the server generates a story depicting healing music and calming natural scenery and delivers it to the user through the device. This suggestion uses a prompt message generated by the AI: "The user is feeling relaxed. Please suggest healing music and calming natural scenery."

[0768] Real-time editing synchronization across devices allows users to share the latest changes with others and consistently manage project progress. This utilizes real-time communication protocols and advanced data synchronization algorithms. This enables users to collaborate efficiently and produce optimal content.

[0769] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0770] Step 1:

[0771] The server receives authentication information from the user. The received data includes authentication information such as the username and password. The server verifies this information against the database and completes user authentication. If successful, the user is granted permission to proceed to the next step.

[0772] Step 2:

[0773] The terminal retrieves files in multiple media formats from the user's device and sends them to the server. The transmitted data includes images, text, and audio files. The server registers these files in a version control system and manages the file change history. This allows the user to track file versions.

[0774] Step 3:

[0775] The device uses its built-in camera and microphone to capture real-time emotional data of the user. The input data consists of facial expressions and voice tone. An emotion engine analyzes this data to determine the user's emotional state. This information forms the basis for subsequent processing.

[0776] Step 4:

[0777] The server uses a generative AI model to suggest content based on the emotional state obtained from the emotion recognition engine. The input is the user's emotional data, which generates a prompt. As a result, content suggestions are generated and sent to the terminal. For example, a prompt such as "The user wants to relax. Please suggest healing music and calming nature scenery." might be used.

[0778] Step 5:

[0779] The terminal presents the user with content suggestions received from the server. The input at this stage is the content suggestions sent from the server. The output consists of options and recommended content that the user can view. The user makes a selection, and this selection is reflected in the next suggestion.

[0780] Step 6:

[0781] The terminal performs real-time editing synchronization and shares project progress with other users. Input is the user's current project status and edits. Output is the latest project data consistent with other users. This facilitates smooth collaborative work.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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."

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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 as being incorporated by reference.

[0803] The following is further disclosed regarding the embodiments described above.

[0804] (Claim 1)

[0805] A means of receiving authentication information from a user, verifying that information against a database, and authenticating the user.

[0806] A means of receiving files in multiple media formats and registering them in a version control system,

[0807] A means of generating and proposing project-related content using generative artificial intelligence,

[0808] A means to perform real-time editing synchronization between devices and reflect project changes,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, comprising a function to record multiple file change histories and compare past and current file versions.

[0812] (Claim 3)

[0813] The system according to claim 1, comprising a function that allows a user to select content proposed by a generative artificial intelligence and apply it to a project.

[0814] "Example 1"

[0815] (Claim 1)

[0816] A means for receiving authentication information from a user, verifying that information against a storage device, and authenticating the user.

[0817] A means of receiving data in multiple information formats and registering it in a history management platform,

[0818] A means of generating and providing materials related to the work content using generative artificial intelligence,

[0819] A means of reflecting changes in work content by immediately reflecting changes between output devices,

[0820] A system that includes this.

[0821] (Claim 2)

[0822] The system according to claim 1, comprising the function of recording multiple change histories and comparing past and present data versions.

[0823] (Claim 3)

[0824] The system according to claim 1, comprising a function that allows a user to select materials provided by a generating artificial intelligence and apply them to the task.

[0825] "Application Example 1"

[0826] (Claim 1)

[0827] A means of receiving authentication information from a user, verifying that information against a database, and authenticating the user.

[0828] A means of receiving files in multiple media formats and registering them in a version control system,

[0829] A means of generating and proposing project-related digital information using generative artificial intelligence,

[0830] A means to perform real-time editing synchronization between devices and reflect project changes,

[0831] A means of transmitting video data from a video recording device to a server, adding information using artificial intelligence, and distributing that information,

[0832] A system that includes this.

[0833] (Claim 2)

[0834] The system according to claim 1, comprising a function to record multiple file change histories and compare past and current file versions.

[0835] (Claim 3)

[0836] The system according to claim 1, comprising a function that allows a user to select digital information proposed by a generating artificial intelligence and apply it to a project.

[0837] "Example 2 of combining an emotion engine"

[0838] (Claim 1)

[0839] A means for receiving authentication information from a user and verifying that information using a data storage device for authentication,

[0840] A means for receiving information in various formats and registering it in a history management device,

[0841] A means for generating and proposing work-related content using a generative intelligence device,

[0842] A means of having an emotion analysis function that recognizes the user's emotional state and adjusts content suggestions accordingly,

[0843] A means to synchronize editing in real time between devices and reflect changes in work,

[0844] A system that includes this.

[0845] (Claim 2)

[0846] The system according to claim 1, which has a function to record multiple information change histories and compare past and present information versions.

[0847] (Claim 3)

[0848] The system according to claim 1, comprising a function that allows a user to select content proposed by a generative intelligence device and apply it to a task.

[0849] "Application example 2 when combining with an emotional engine"

[0850] (Claim 1)

[0851] A means of receiving authentication information from a user, verifying that information against a database, and authenticating the user.

[0852] A means of receiving files in multiple media formats and registering them in a version control system,

[0853] A means of generating and proposing project-related content using generative artificial intelligence,

[0854] A means to perform real-time editing synchronization between devices and reflect project changes,

[0855] A means for recognizing the emotional state of the user and adjusting content suggestions based on that emotional state,

[0856] A method for suggesting candidate seasonings and heating conditions based on flavor evaluation information consisting of throat feel, taste, aroma, etc.

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, comprising a function to record multiple file change histories and compare past and current file versions.

[0860] (Claim 3)

[0861] The system according to claim 1, comprising a function that allows a user to select content proposed by a generative artificial intelligence and apply it to a project. [Explanation of Symbols]

[0862] 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 of receiving authentication information from a user, verifying that information against a database, and authenticating the user. A means of receiving files in multiple media formats and registering them in a version control system, A means of generating and proposing project-related content using generative artificial intelligence, A means to perform real-time editing synchronization between devices and reflect project changes, A system that includes this.

2. The system according to claim 1, which includes a function to record the modification history of multiple files and compare past and current file versions.

3. The system according to claim 1, further comprising a function that allows a user to select content proposed by a generating artificial intelligence and apply it to a project.

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