System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving requirements of a creative project from a user terminal and transmitting the requirements to a generative artificial intelligence to generate content; means for transmitting the generated content to the user terminal as preview data; means for searching for and displaying a creator suitable for the user; means for receiving feedback from the user and transferring the feedback to the generative artificial intelligence and the creator to make a correction; means for generating a file for delivering final content to the user terminal and providing a download link; and means for calculating a commission based on the size and type of the project and processing payment.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In conventional creative content production, the process from user request to completion is complicated, time-consuming, and labor-intensive. Users often find it difficult to accurately communicate their needs to creators, and feedback and revisions often require rapid responses. As a result, users are unable to smoothly obtain the content they desire, and creators are unable to fully utilize their skills. Therefore, the present invention aims to solve this problem by providing a system that uses AI technology to efficiently generate creative content based on user requirements and achieves fast and accurate matching between users and creators. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for receiving creative project requirements from a user device and transmitting them to a generative artificial intelligence (AI) to generate content, and a means for transmitting the generated content to the user device as preview data. The system also includes a means for searching for and displaying creators suited to the user, a means for receiving feedback from the user and forwarding the feedback to the generative AI and creators for revisions, a means for generating files for delivering the final content to the user device and providing a download link, and a means for calculating fees based on the size and type of the project and processing payments. This system allows users to easily obtain the creative content they desire and allows creators to efficiently share their skills.

[0006] "User Device" means a device through which a User inputs and submits creative project requirements and previews and reviews the generated content.

[0007] "Generative artificial intelligence (AI)" is an artificial intelligence technology for generating creative content (text, images, audio, etc.) based on user requirements.

[0008] "Content" refers to creative works (novels, illustrations, music, etc.) generated based on user requirements.

[0009] "Preview data" is temporary data provided to allow a user to check the generated content.

[0010] "Creator" means an individual or entity with the expertise to create and modify creative content according to user requirements.

[0011] "Feedback" refers to user evaluations and requests for corrections to generated content.

[0012] "Project scale" refers to the content, scope, and amount of work involved in a creative project.

[0013] "Fees" means the fees paid by Users for the services provided by the Platform. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0018] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0019] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0020] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0034] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0035] This invention is a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. The system includes the following main components: a user terminal, a generative AI, a server, and a creator. The program processing in this system will be described in detail.

[0036] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0037] Once the input is complete, the terminal structures this data and sends it to the server in JSON format, etc. The server stores the received data in a database and then forwards these requirements to the generative AI.

[0038] The AI ​​generates text for a novel based on the user's requirements. For example, it automatically generates episodes and dialogue scenes that fit the plot of an "adventure story in which an elf and a dragon develop a friendship." Once generation is complete, the generated text is sent back to the server.

[0039] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or request corrections after viewing the content, they can enter that information through the interface. For example, they could enter feedback such as, "I'd like the elf's lines to be a little more emotional."

[0040] User feedback is sent from the device to the server. The server forwards this feedback to the generating AI and the creator. The creator then uses the feedback to make manual corrections or use the generating AI again to create a revised version. Once the revised version is ready, it is sent back to the user's device via the server.

[0041] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0042] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0043] This system allows users to quickly and efficiently obtain high-quality creative content, and creators to efficiently monetize their skills. The platform also smoothly matches users and creators, optimizing the entire process.

[0044] The processing flow will be explained below.

[0045] Step 1:

[0046] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[0047] Step 2:

[0048] The terminal converts the user's input into structured data such as JSON format and sends it to the server.

[0049] Step 3:

[0050] The server stores the received project details in a database.

[0051] Step 4:

[0052] The server retrieves the detailed data of the saved project from the database and sends it to the generation AI.

[0053] Step 5:

[0054] The generative AI generates creative content (e.g., the text of a novel) based on the project details it receives.

[0055] Step 6:

[0056] The generation AI sends the generated content back to the server.

[0057] Step 7:

[0058] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[0059] Step 8:

[0060] The user can preview and check the generated content on the terminal.

[0061] Step 9:

[0062] After previewing, if any corrections or improvements are needed, the user can enter feedback or correction requests from the terminal.

[0063] Step 10:

[0064] The device sends user feedback and correction requests to the server.

[0065] Step 11:

[0066] The server forwards the received feedback and correction requests to the generation AI and creators.

[0067] Step 12:

[0068] Based on the feedback, creators can either make manual corrections or use generative AI again to generate corrected content.

[0069] Step 13:

[0070] The creator and generating AI send the modified content to the server.

[0071] Step 14:

[0072] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[0073] Step 15:

[0074] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[0075] Step 16:

[0076] The server receives the delivery confirmation and generates the final file in the appropriate format (e.g. PDF, EPUB).

[0077] Step 17:

[0078] The server provides a download link for the final file to the user's device.

[0079] Step 18:

[0080] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[0081] Step 19:

[0082] The user pays the fee using the payment interface.

[0083] Step 20:

[0084] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[0085] Example 1

[0086] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0087] Current creative content generation systems face the problem of complex and time-consuming processes, including the user inputting project requirements, efficiently processing them, previewing the generated content, and making corrections based on feedback. Furthermore, matching creators with users and calculating and paying fees based on the scale of the project are also cumbersome. A system that solves these issues is needed.

[0088] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0089] In this invention, the server includes a means for receiving creative project requirements from a user terminal and transmitting them to the server as structured data; a means for the server to store the received structured data in a database and generate content by sending prompts to a generation artificial intelligence; and a means for formatting the generated content for preview and transmitting it to the user terminal. This allows users to efficiently advance creative projects and quickly review and modify the generated content. Furthermore, the entire process is optimized by automating smooth matching with creators and the calculation and payment of project-based fees.

[0090] A "user terminal" is an electronic device for inputting creative project requirements and previewing and providing feedback on generated content.

[0091] "Structured data" refers to user-entered creative project requirements that have been converted into a specific format (e.g., JSON).

[0092] A "server" is a computer system that receives, stores, processes, and forwards structured data sent from a user terminal.

[0093] A "database" is a data management system installed within a server for storing structured data sent by users and generated content.

[0094] "Generative AI" is an AI system that automatically generates content such as text, images, and audio based on user requirements.

[0095] A "prompt" is a sentence containing instructions or guidelines given to a generation AI to specify the requirements and direction of the content to be generated.

[0096] "Preview data" is data that has been formatted so that the generated content can be checked by the user.

[0097] "Feedback" refers to evaluations and requests for corrections made by users to generated content.

[0098] "Creators" are experts or artists who modify content based on user feedback.

[0099] A "download link" is a URL or hyperlink that provides access for a user to obtain the final content file.

[0100] "Fees" are fees calculated based on the size and type of project and paid by users.

[0101] The present invention relates to a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI models). The system includes the following main components: a user terminal, a generative AI, a server, and a creator.

[0102] Specifically, the user's device first provides an interface for the user to input the requirements for a creative project. For example, if the user requests a novel, they enter details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." Once the user has completed the input, the device converts this data into structured data such as JSON format and sends it to the server.

[0103] The server receives the structured data sent from the device and stores it in a database. For this purpose, a common database management system (e.g., MySQL or PostgreSQL) is used. The server then transfers the stored data to the generation AI. For example, OpenAI's GPT-4 or Google's BERT can be used as the generation AI.

[0104] The AI ​​generates the text of a novel based on the received prompt. For example, the prompt might be, "Write a fantasy novel. Please include the following content: the genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The generated text is then sent back to the server.

[0105] The server receives the generated text and formats it as preview data for the user to review. This format is used in HTML or PDF. The server then sends the formatted data to the user's device. The user can review the generated content in the interface and enter feedback or correction requests as needed. For example, the user could enter specific feedback such as "I would like the elf's lines to be a bit more emotional."

[0106] Feedback is sent from the user's device to the server, which then forwards it to the generation AI and creator. The creator then makes any necessary corrections based on the feedback, or uses the generation AI again to create a revised version. Once the revised version is complete, it is sent back to the user's device via the server.

[0107] Finally, if the user is satisfied, they press the "Confirm Delivery" button. The server confirms this and generates the final project file in the appropriate format (e.g., PDF or EPUB file). A download link for the completed file is sent to the user's device.

[0108] In addition, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator.

[0109] In this way, users can quickly and efficiently obtain high-quality creative content, and creators can efficiently monetize their skills. This system smoothly matches users and creators, optimizing the entire process.

[0110] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0111] Step 1:

[0112] The user inputs the requirements for a creative project. Specifically, they input details such as writing a novel, creating illustrations, or composing music. Examples of input include "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." The device converts this input data into structured data such as JSON format. The input data is the user's requirements, and the output data is the requirements information converted into a structured format.

[0113] Step 2:

[0114] The terminal sends structured data (specifically, in JSON format) to the server. The server receives this data and first stores it in a database. Databases such as MySQL or PostgreSQL are often used for this purpose. The input data is structured data, and the output data is the data stored in the database.

[0115] Step 3:

[0116] The server retrieves the data stored in the database and transfers it to the generation AI as a prompt. An example of a prompt is, "Please write a fantasy novel. Please include the following content. The genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The input data is the prompt, and the output data is the instructions transferred to the generation AI.

[0117] Step 4:

[0118] The generative AI generates text data based on prompts sent from the server. Specifically, it automatically generates story episodes and dialogue scenes that follow a plot, such as "an adventure story in which an elf and a dragon develop a friendship." The input data is the prompt, and the output data is the generated text.

[0119] Step 5:

[0120] The server receives the text generated by the generation AI and formats it as preview data. The format is HTML or PDF. The input data is the generated text, and the output data is data formatted for preview.

[0121] Step 6:

[0122] The server sends the preview data to the user's device. The device displays this data to the user, who then confirms it. The input data is the preview data, and the output data is the displayed content.

[0123] Step 7:

[0124] When a user requests feedback or corrections on the displayed content, the user inputs the details into the device. For example, the user might input feedback such as "I would like the elf's lines to be a little more emotional." The input data is the user's feedback, and the output data is the feedback information as structured data.

[0125] Step 8:

[0126] The device sends the feedback information as structured data to the server, which then forwards the feedback to the generation AI and creator. The input data is the structured feedback information, and the output data is instructions for the generation AI and creator.

[0127] Step 9:

[0128] The creator makes the necessary revisions based on the feedback, or uses generative AI again to create a revised version. The input data is the feedback information, and the output data is the revised content.

[0129] Step 10:

[0130] The server sends the revised content back to the user's device, where the user can view it. The input data is the revised content, and the output data is the displayed revisions.

[0131] Step 11:

[0132] When the user is finally satisfied, he / she presses the "Confirm Delivery" button. The server confirms this and generates the final project files in the appropriate format (e.g. PDF or EPUB files). The input data is the confirmation delivery information, and the output data is the final content file.

[0133] Step 12:

[0134] The server sends a download link for the final content file to the user terminal. The input data is the generated final file, and the output data is the sent download link.

[0135] Step 13:

[0136] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator. The input data is project information, and the output data is the fee calculation result and the payment processing result.

[0137] (Application example 1)

[0138] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0139] In today's world, there is a growing demand for users to efficiently generate and edit creative content in a short amount of time. However, existing systems lack the functionality to allow users to input detailed requirements and generate and view content in real time based on those requirements. Furthermore, it is difficult to provide immediate feedback or make corrections to the generated content, making it difficult to provide content smoothly. Furthermore, there is a lack of a way for users to easily input project details and view the generated content using a smartphone or head-mounted display. This creates a demand for the rapid generation and delivery of high-quality creative content.

[0140] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0141] In this invention, the server includes means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content, means for transmitting the generated content to the user terminal as preview data, means for searching for and displaying creators suitable for the user, means for receiving feedback from the user and forwarding the feedback to the generation AI and creators for revisions, means for generating files for delivering final content to the user terminal and providing download links, means for calculating fees based on the size and type of the project and processing payments, and means for the user to input project details using a smartphone or head-mounted display and generate and view creative content in real time, thereby enabling users to intuitively input project details and quickly generate and modify high-quality creative content.

[0142] "User terminal" means a device through which a user accesses the system to enter details of a creative project and view generated content.

[0143] A "creative project" is a creative task or content creation requirement requested by a user, including writing a novel, creating an illustration, composing music, etc.

[0144] "Generative AI" refers to algorithms or models that automatically generate creative content such as text, images, and audio based on user requirements.

[0145] The "means for generating content" is the part of the system that executes the process in which the generative artificial intelligence generates creative content based on requirements entered by the user.

[0146] The "means for transmitting content as preview data" is a part of the system that executes a process for transmitting the generated content to the user terminal in a format that can be confirmed by the user.

[0147] "Creators" are professionals who manually edit and revise content based on the content of the creative project requested by the user, with additional corrections and feedback.

[0148] "Feedback" refers to user-provided evaluations and requests for corrections to generated content.

[0149] The "means for generating files and providing download links" refers to the part of the system that executes the process of creating files in a format that allows users to download the final completed content and providing the links.

[0150] The "means for calculating fees and processing payments" is the part of the system that performs the process of calculating the appropriate fee based on the size and type of project and processing payments from users.

[0151] "Smartphones and head-mounted displays" are portable electronic devices and devices that allow users to access the system, enter project details, and view generated content.

[0152] "Means for generating and viewing creative content in real time" means the part of the system that runs a process that allows a user to input project details and then instantly view the content that is generated in a short period of time.

[0153] This invention is a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI).The system's main components are a user terminal, a generative AI, a server, and a creator.

[0154] Hardware and software used

[0155] Hardware: Smartphones, head-mounted displays, servers, and clusters running generative AI

[0156] Software: Python, Flask (web framework), GPT-4 (generative AI model)

[0157] Implementation details

[0158] User terminal

[0159] Using a smartphone or head-mounted display, users input details about their creative project, which are specified as follows:

[0160] Genre: Specify the type of novel, illustration, etc.

[0161] Characters: For example, elves and dragons

[0162] Plot Summary: A brief story summary

[0163] For example, the prompt the user enters is:

[0164] Prompt Sentence Examples

[0165] Genre: Fantasy

[0166] Characters: Elves, Dragons

[0167] Plot summary: An adventure story about the friendship between an elf and a dragon

[0168] server

[0169] 1. Data Receipt and Storage:

[0170] The server receives project details sent from the user device as structured data, such as JSON, and stores this data in a database.

[0171] 2. Data transfer to the generative AI:

[0172] The server then forwards the received data to the generative AI model.

[0173] 3. Content generation by generative AI:

[0174] Generative AI models (e.g., GPT-4) generate creative content (text, images, audio, etc.) based on user requirements.

[0175] 4. Content Preview:

[0176] The generated content is formatted as preview data by the server and transmitted to the user terminal.

[0177] User

[0178] Check the content:

[0179] The user can view the generated content on a smartphone or head-mounted display, where they can provide feedback.

[0180] Providing feedback:

[0181] The feedback includes specific requests for revision, such as "I wish the elves' lines were a bit more emotional."

[0182] Servers, Generative AI and Creators

[0183] The server receives feedback from users and forwards it to the generation AI and creator. The generation AI generates a revised version based on the feedback, and the creator manually edits it if necessary. The revised version is then sent back to the user's device via the server.

[0184] Content delivery and fee calculation

[0185] Generate the final file:

[0186] When the user is finally satisfied, they press the delivery confirmation button. The server generates the final content in PDF or EPUB format and provides a download link.

[0187] Fee calculation and payment:

[0188] Finally, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0189] The system allows users to intuitively input project details and quickly generate and modify high-quality creative content, and also allows users to generate and view content in real time using a smartphone or head-mounted display.

[0190] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0191] Step 1:

[0192] Entering project details on the user's device

[0193] Using a smartphone or head-mounted display, a user inputs project details such as genre, characters, plot summary, etc. The details entered are sent to the server as structured data in JSON format, etc. The input for this step is the user's creative requirements, and the output is structured data.

[0194] Step 2:

[0195] Data reception and storage by the server

[0196] The server receives the structured data sent from the user's device. The received data is stored in a database. This data contains the user's project details and is ready to be transferred to the generation AI. The input of this step is the structured data and the output is the data stored in the database.

[0197] Step 3:

[0198] Data transfer from the server to the generation AI

[0199] The server transfers the stored structured data to the Generative AI, which then starts the process of generating creative content based on this data. The input for this step is the project details data in the database, and the output is the input data for the Generative AI.

[0200] Step 4:

[0201] Content generation by generative AI

[0202] The Generative AI generates creative content such as text, images, and audio based on the project details received from the server. The generated content is temporarily sent back to the server. The input of this step is the project details data to the Generative AI, and the output is the generated content.

[0203] Step 5:

[0204] Server-generated content formatting

[0205] The server formats the content returned by the generation AI and prepares it as preview data. This preview data is sent to the user's device. The input of this step is the generated content, and the output is the preview data.

[0206] Step 6:

[0207] Check content and provide feedback on user devices

[0208] The user checks the preview data on the device and provides feedback if necessary. The feedback is then sent back to the server. The input to this step is the preview data, and the output is the feedback data.

[0209] Step 7:

[0210] Server Receipt and Forwarding of Feedback

[0211] The server receives the feedback sent by the user and forwards it to the generation AI or creator. Based on this feedback, the content is regenerated or modified. The input of this step is the feedback data, and the output is instructions for modification to the generation AI or creator.

[0212] Step 8:

[0213] Generative AI or creator-generated content modification

[0214] The generative AI or creator modifies the content based on user feedback. The modified content is then sent back to the server. The input of this step is the feedback data, and the output is the modified content.

[0215] Step 9:

[0216] The server generates the final file and provides a download link

[0217] The server generates the final content that the user is satisfied with in a format such as PDF or EPUB and provides a download link. The input of this step is the modified final content, and the output is the download link.

[0218] Step 10:

[0219] Fee calculation and payment processing by the server

[0220] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator. The input of this step is the project details and payment information, and the output is the fee calculation result and a payment completion notification.

[0221] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0222] This invention combines an emotion engine with a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. This system includes the following main means: a user terminal, generative AI, a server, a creator, and an emotion engine. The program processing in this system will be specifically described.

[0223] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0224] The input requirements are analyzed by the emotion engine to recognize the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.). This information is sent to the server along with the requirements data. The server stores the received data in a database and then forwards these requirements and emotional information to the generative AI.

[0225] The generative AI generates creative content based on the user's requirements and emotional information. For example, it automatically generates episodes and dialogue scenes that fit the plot of "an adventure story in which an elf and a dragon forge a friendship," but also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[0226] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might enter feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on their feedback and reflect it in the corrections.

[0227] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can make corrections manually based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is complete, it is sent back to the user's device via the server.

[0228] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0229] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0230] This system allows users to obtain high-quality creative content that reflects their emotions, and creators can efficiently monetize their skills. The introduction of the emotion engine further deepens the user experience, and the generated content will better match user expectations.

[0231] The processing flow will be explained below.

[0232] Step 1:

[0233] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[0234] Step 2:

[0235] The terminal activates an emotion engine to analyze the user's emotions (e.g., excitement, anticipation, anxiety) based on the input form.

[0236] Step 3:

[0237] The emotion engine recognizes the user's emotional state from the input content and user operation behavior, and sends this information together with requirement data to the server as structured data.

[0238] Step 4:

[0239] The server stores the received project details and emotion information in a database.

[0240] Step 5:

[0241] The server retrieves the detailed project data and emotion information stored in the database and sends it to the generation AI.

[0242] Step 6:

[0243] The generative AI generates creative content (e.g., the text of a novel) based on the user's requirements and emotional information. In this case, the content reflects the user's emotions and incorporates particularly stimulating scenes and dramatic developments.

[0244] Step 7:

[0245] The generation AI sends the generated content back to the server.

[0246] Step 8:

[0247] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[0248] Step 9:

[0249] The user can preview and check the generated content on the terminal.

[0250] Step 10:

[0251] After previewing, if the user needs to make corrections or improvements, they can enter feedback or correction requests from their device. At this time, the emotion engine is activated again when the user enters their feedback, and recognizes the emotional state of the user at the time of feedback.

[0252] Step 11:

[0253] The emotion engine analyzes the user's emotional state based on the feedback and sends this information along with the feedback content to the server.

[0254] Step 12:

[0255] The server forwards the received feedback and emotional state to the generation AI and creator.

[0256] Step 13:

[0257] Based on the feedback, creators can either manually make corrections or use the generative AI again to generate corrected content. The emotion engine's analysis information determines the priority of the corrections.

[0258] Step 14:

[0259] The creator and generating AI send the modified content to the server.

[0260] Step 15:

[0261] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[0262] Step 16:

[0263] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[0264] Step 17:

[0265] The server receives the delivery confirmation and generates the final project files in the appropriate format (e.g. PDF, EPUB).

[0266] Step 18:

[0267] The server provides a download link for the final file to the user's device.

[0268] Step 19:

[0269] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[0270] Step 20:

[0271] The user pays the fee using the payment interface.

[0272] Step 20:

[0273] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[0274] Example 2

[0275] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0276] Conventional creative project support systems face challenges in generating content that reflects the user's emotional state. Furthermore, the process of effectively incorporating user feedback into generated content and making optimal revisions is complex and time-consuming. Furthermore, efficient management of fee calculations and payment processing based on the scale and type of project is also required.

[0277] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for receiving feedback from the user, analyzing it using an emotion engine, and identifying the user's emotional state; means for transferring the identified emotional information to the generation AI and creator for correction; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This makes it possible to quickly and efficiently generate and deliver high-quality creative content that reflects the user's emotions.

[0278] A "user terminal" is an electronic device that a user uses to input requirements for a creative project and send feedback.

[0279] "Generative AI" refers to algorithms or systems that automatically generate creative content such as text, images, and audio based on requirements received from users.

[0280] "Content" refers to the results of a creative project, such as a novel, illustration, or music.

[0281] An "emotion engine" is an algorithm or system that analyzes and identifies a user's emotional state based on their input and feedback.

[0282] The "server" is a central management system that receives data sent from user terminals, forwards it to the generation AI, generates content, processes feedback, calculates fees, etc.

[0283] "Feedback" refers to the user's evaluation of the generated content and requests for corrections.

[0284] "Creators" are professionals who manually edit content generated by generative AI or provide additional creative work.

[0285] A "file" is digital data of creative content that is ultimately delivered to a user.

[0286] A "download link" is a URL that allows a user to obtain the final file via the Internet.

[0287] "Project size and type" refers to project characteristics determined by the content and workload of the creative project, client requirements, etc.

[0288] The present invention is a system that uses a user terminal, a generative AI model, a server, a creator, and an emotion engine, in which a user requests a creative project and the emotion engine is used to generate and provide content. Specific embodiments are described below.

[0289] First, the user enters the requirements for the creative project from their own device. The input interface is a web form or a dedicated application. The user enters details of the project, such as writing a novel, creating illustrations, or composing music. For example, if requesting a novel, the user might enter "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure story."

[0290] The device analyzes the input requirement information using an emotion engine. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's input and sends that information along with the requirement data to the server. The server stores the received data in a database and then forwards these requirements and emotional information to the generation AI.

[0291] The generative AI model generates creative content based on the user's requirements and emotional information. For example, it generates episodes and dialogue scenes based on the plot of "an adventure story in which an elf and a dragon forge a friendship." It also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[0292] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might write feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on the user's feedback and reflect it in the corrections.

[0293] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can manually make corrections based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is created, it is sent back to the user's device via the server.

[0294] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0295] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0296] Examples of prompts include:

[0297] 1. "Genre: Fantasy, Characters: Elves, Dragons, Plot Summary: An adventure story. The main character, an elf, goes on a journey to find a magical sword."

[0298] 2. "Feedback: I'd like the elves' lines to be a bit more emotional, especially in the scene where they meet the dragon."

[0299] 3. "Final confirmation: I would like the final file to be generated in PDF format."

[0300] Based on these prompts, the system can generate content according to the user's request and make any necessary modifications.

[0301] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0302] Step 1:

[0303] Users use their own devices to input the requirements for their creative projects. Through the interface, users input detailed information such as the project's genre, characters, and plot summary. For example, for a novel, users might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0304] Input: Project requirement information that the user enters into the interface.

[0305] Output: The requirements information is saved to the terminal and is ready for the next processing step.

[0306] Specific behavior: A user enters requirements into a web form and presses the submit button.

[0307] Step 2:

[0308] The terminal sends the requirement information entered by the user to the emotion engine for analysis. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's requirements.

[0309] Input: The requirement information entered by the user into the terminal.

[0310] Output: Information about the emotional state identified by the emotion engine.

[0311] Specific operation: The device sends requirement information to the emotion engine, which then performs emotion analysis.

[0312] Step 3:

[0313] The device transmits the analyzed emotional state together with the requirement data to the server, which stores the received data in a database.

[0314] Input: Sentiment analysis results from the emotion engine and user requirement information.

[0315] Output: Requirement data and sentiment information stored in the server database.

[0316] Specific operation: The device sends the emotion analysis results and requirement information to the server, which then stores them in a database.

[0317] Step 4:

[0318] The server transfers the saved requirement data and emotion information to the generation AI, which then generates creative content based on this data.

[0319] Input: Requirement data and sentiment information stored on the server.

[0320] Output: Creative content generated by generative AI.

[0321] How it works: The server transfers data to the generation AI, which then generates text based on the plot and characters.

[0322] Step 5:

[0323] The server receives the content generated by the generation AI, formats it for preview, and then sends the preview data to the user's device.

[0324] Input: Creative content received from the generative AI.

[0325] Output: Data formatted for preview.

[0326] Specific operation: The server converts the text data into a preview format such as HTML and sends it to the user's device.

[0327] Step 6:

[0328] The user can use the device to check the generated content on the preview screen and input any necessary corrections or feedback, such as "I would like the elf's lines to be a little more expressive."

[0329] Input: Creative content formatted for preview.

[0330] Output: User feedback.

[0331] Specific operation: The user checks the preview screen, enters correction requests in the feedback form, and submits it.

[0332] Step 7:

[0333] The server sends the feedback received from the user to the emotion engine for further analysis, and forwards the analysis results and feedback to the generation AI and creator.

[0334] Input: Feedback received from users.

[0335] Output: Sentiment-analyzed feedback and correction information forwarded to the generative AI and creators.

[0336] Specific operation: The server sends feedback to the emotion engine and forwards the analysis results to the generation AI and creator.

[0337] Step 8:

[0338] The generative AI and creators then automatically or manually revise the content based on the feedback and emotional information sent from the server, and once the revised version is complete, it is sent back to the server.

[0339] Input: Sentiment-analyzed feedback and correction requests.

[0340] Output: The modified creative content.

[0341] What it does: The generative AI regenerates the text based on the feedback, and the creator makes corrections as needed.

[0342] Step 9:

[0343] The server receives the modified content, reformats it, and transmits it to the user's terminal.

[0344] Input: The modified creative content.

[0345] Output: The formatted and revised content.

[0346] What happens: The server formats the revised text for preview and sends it to the user's device.

[0347] Step 10:

[0348] The user checks the revised content again on the terminal, and if satisfied, presses the delivery confirmation button, which sends a signal to the server.

[0349] Input: The revised content.

[0350] Output: Delivery confirmation signal.

[0351] Specific operation: The user clicks the "Confirm Delivery" button, and a signal is sent to the server.

[0352] Step 11:

[0353] The server receives the delivery confirmation signal, generates the final file in the appropriate format (e.g., PDF or EPUB), and provides a download link to the user's device.

[0354] Input: Delivery confirmation signal.

[0355] Output: Download link for the final file.

[0356] Specific operation: The server converts the final file to PDF / EPUB and sends the download URL to the user.

[0357] Step 12:

[0358] The server calculates the fee based on the size and type of the project, and displays the payment interface on the user's device. After the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0359] Input: Project information and delivery confirmation signal.

[0360] Output: Payment interface and payment to creators.

[0361] What it does: The server processes the payment using a payment system such as Stripe or PayPal and distributes the reward to the creator.

[0362] (Application example 2)

[0363] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0364] Current creative content generation systems using generative AI have difficulty generating content that reflects the user's emotional state. Furthermore, they lack optimal feedback responses to individual users and automated correction processes. As a result, user satisfaction declines and the quality of the final content is difficult to guarantee.

[0365] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for using an emotion analysis engine to recognize the user's emotional state and reflect that emotional state in the content to be generated; means for receiving feedback from the user and forwarding the feedback to the generation AI and creator for corrections; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This enables the generation of high-quality content that reflects the user's emotional state and the automation of efficient feedback responses and correction processes.

[0366] A "user terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0367] "Creative Project" refers to creative activities such as novels, illustrations, music, etc. that users create using generative AI, as well as the content of those requests.

[0368] "Generative AI" refers to systems or algorithms that use artificial intelligence technology to automatically generate creative content such as text, images, and audio.

[0369] "Preview data" refers to a display format or data that allows the user to check the generated content in advance.

[0370] "Creators" are professionals and artists who complement generative AI in creative projects and perform human corrections and additional creative work.

[0371] An "emotion analysis engine" is a technology or system that recognizes a user's emotional state and reflects that information in content.

[0372] "Feedback" refers to the act of a user providing opinions, improvements, correction requests, etc. regarding generated content.

[0373] "Files for Delivery" means digital files created in an appropriate format for providing the final, completed creative content to users.

[0374] "Download Link" means a web link that a User clicks on to obtain a digital file delivered over a network.

[0375] "Fees" means the fees calculated as payment for commissioning a Creative Project or generated Content.

[0376] MODE FOR CARRYING OUT THE INVENTION

[0377] To implement this invention, collaboration between a user terminal, a server, an emotion analysis engine, a generation AI, and a creator is required.

[0378] System Configuration

[0379] 1. User Device:

[0380] It is a device (smartphone, tablet, PC) that allows users to input requirements for creative projects and recognize their emotional state.

[0381] Use the camera function to capture the user's emotional state.

[0382] 2. Server:

[0383] A core system that aggregates all data and transmits and processes the data to the generative AI and creators.

[0384] Preview data is generated and sent to the user's device.

[0385] Receive user feedback and forward it to the generative AI and creators.

[0386] 3. Generation AI:

[0387] AI that generates creative content such as text, images, and audio based on user requirements and emotional information.

[0388] Generate content using prompt text.

[0389] 4. Sentiment Analysis Engine:

[0390] Technology that analyzes camera data and recognizes the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.).

[0391] 5. Creator:

[0392] An expert who modifies and adds to content generated by generative AI based on user feedback.

[0393] Process Description

[0394] 1. First, the user device provides an interface where the user inputs the requirements for a creative project. For example, to request the writing of a novel, the user can input requirements such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0395] 2. Using the camera function of the user device, the emotion analysis engine recognizes the user's emotional state. For example, it analyzes that the user is in an emotional state of "excitement."

[0396] 3. The requirement data and emotion information are sent to the server, which then forwards this data to the generation AI and requests it to generate content.

[0397] 4. The generative AI generates creative content using prompts. For example, it creates an exciting adventure story based on the prompts "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon forge a friendship."

[0398] 5. The generated content is sent to the server and formatted as preview data. The preview data is sent to the user's device, where the user can check the generated content.

[0399] 6. When a user enters feedback, for example, "I would like the elf's lines to be a little more emotional," the feedback is sent to the server, where the emotion analysis engine again recognizes the user's emotional state and analyzes the emotion the feedback is based on.

[0400] 7. Based on the feedback, the generation AI or creator makes corrections. The server then sends the corrected content back to the user's device for final confirmation.

[0401] 8. Finally, when the user presses the confirmation button, the file to be delivered is generated and a download link is provided from the server.

[0402] This allows users to obtain high-quality creative content that meets their needs and desires.

[0403] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0404] Step 1:

[0405] The user terminal provides an interface for inputting the requirements of a creative project. Here, the user inputs the project's genre, characters, plot summary, etc. For example, the user might input details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." This becomes the initial input data for the system.

[0406] Step 2:

[0407] The user device uses its camera function to analyze the user's face and recognize their emotional state. The emotion analysis engine processes this data and analyzes the user's emotional state (e.g., "excited"). The input data is the user's facial image, and the output data is the identification result of the emotional state.

[0408] Step 3:

[0409] The requirement data entered by the user and the results of the emotional state identification are sent from the user terminal to the server. The server receives this data and stores it in a database. The input data is the requirement data and emotional data, and the output data is the information stored in the database.

[0410] Step 4:

[0411] The server sends the received requirement data and emotional state data to the generation AI, which generates creative content based on this data. For example, the generation AI generates a story based on the prompt statements "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon develop a friendship." The input data are the requirement data and emotional data, and the output data is the generated content.

[0412] Step 5:

[0413] The content generated by the generation AI is sent to the server, which formats it as preview data. The preview data is then sent to the user's device, where the user can view the generated content on the interface. The input data is the generated content, and the output data is the preview format data.

[0414] Step 6:

[0415] The user checks the preview data and inputs feedback as necessary. For example, they may input feedback such as "I would like the elf's lines to be a little more emotional." This feedback is sent from the user's terminal to the server. The input data is the user's feedback, and the output data is the feedback information sent to the server.

[0416] Step 7:

[0417] The server forwards the feedback information to the generation AI and creator and requests corrections. The generation AI corrects the content based on the feedback and the re-analyzed emotional information. If the creator is involved, they also make manual corrections based on the feedback. The input data are the feedback information and emotional data, and the output data is the corrected content.

[0418] Step 8:

[0419] The modified content is sent back to the server and formatted for preview. It is then sent back to the user's device, where the user can review the modifications. This process is repeated until the user is satisfied. The input data is the modified content, and the output data is the preview-formatted data again.

[0420] Step 9:

[0421] When the user finally presses the "Confirm Delivery" button, the server generates the final content in the appropriate file format and provides a download link. The user device uses this link to download the final file. The input data is a confirmation of delivery, and the output data is the download link and the delivered file.

[0422] Step 10:

[0423] Based on the size and type of the project, the server calculates the fee and displays the payment interface for the user. After the user completes the payment, the fee is distributed to the system and the creator. The input data is project information, and the output data is the fee calculation result and payment information.

[0424] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0425] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0426] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0427] [Second embodiment]

[0428] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0429] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0430] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0431] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0432] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0433] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0434] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0435] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0436] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0437] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0438] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0439] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0440] This invention is a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. The system includes the following main components: a user terminal, a generative AI, a server, and a creator. The program processing in this system will be described in detail.

[0441] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0442] Once the input is complete, the terminal structures this data and sends it to the server in JSON format, etc. The server stores the received data in a database and then forwards these requirements to the generative AI.

[0443] The AI ​​generates text for a novel based on the user's requirements. For example, it automatically generates episodes and dialogue scenes that fit the plot of an "adventure story in which an elf and a dragon develop a friendship." Once generation is complete, the generated text is sent back to the server.

[0444] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or request corrections after viewing the content, they can enter that information through the interface. For example, they could enter feedback such as, "I'd like the elf's lines to be a little more emotional."

[0445] User feedback is sent from the device to the server. The server forwards this feedback to the generating AI and the creator. The creator then uses the feedback to make manual corrections or use the generating AI again to create a revised version. Once the revised version is ready, it is sent back to the user's device via the server.

[0446] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0447] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0448] This system allows users to quickly and efficiently obtain high-quality creative content, and creators to efficiently monetize their skills. The platform also smoothly matches users and creators, optimizing the entire process.

[0449] The processing flow will be explained below.

[0450] Step 1:

[0451] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[0452] Step 2:

[0453] The terminal converts the user's input into structured data such as JSON format and sends it to the server.

[0454] Step 3:

[0455] The server stores the received project details in a database.

[0456] Step 4:

[0457] The server retrieves the detailed data of the saved project from the database and sends it to the generation AI.

[0458] Step 5:

[0459] The generative AI generates creative content (e.g., the text of a novel) based on the project details it receives.

[0460] Step 6:

[0461] The generation AI sends the generated content back to the server.

[0462] Step 7:

[0463] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[0464] Step 8:

[0465] The user can preview and check the generated content on the terminal.

[0466] Step 9:

[0467] After previewing, if any corrections or improvements are needed, the user can enter feedback or correction requests from the terminal.

[0468] Step 10:

[0469] The device sends user feedback and correction requests to the server.

[0470] Step 11:

[0471] The server forwards the received feedback and correction requests to the generation AI and creators.

[0472] Step 12:

[0473] Based on the feedback, creators can either make manual corrections or use generative AI again to generate corrected content.

[0474] Step 13:

[0475] The creator and generating AI send the modified content to the server.

[0476] Step 14:

[0477] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[0478] Step 15:

[0479] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[0480] Step 16:

[0481] The server receives the delivery confirmation and generates the final file in the appropriate format (e.g. PDF, EPUB).

[0482] Step 17:

[0483] The server provides a download link for the final file to the user's device.

[0484] Step 18:

[0485] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[0486] Step 19:

[0487] The user pays the fee using the payment interface.

[0488] Step 20:

[0489] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[0490] Example 1

[0491] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0492] Current creative content generation systems face the problem of complex and time-consuming processes, including the user inputting project requirements, efficiently processing them, previewing the generated content, and making corrections based on feedback. Furthermore, matching creators with users and calculating and paying fees based on the scale of the project are also cumbersome. A system that solves these issues is needed.

[0493] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0494] In this invention, the server includes a means for receiving creative project requirements from a user terminal and transmitting them to the server as structured data; a means for the server to store the received structured data in a database and generate content by sending prompts to a generation artificial intelligence; and a means for formatting the generated content for preview and transmitting it to the user terminal. This allows users to efficiently advance creative projects and quickly review and modify the generated content. Furthermore, the entire process is optimized by automating smooth matching with creators and the calculation and payment of project-based fees.

[0495] A "user terminal" is an electronic device for inputting creative project requirements and previewing and providing feedback on generated content.

[0496] "Structured data" refers to user-entered creative project requirements that have been converted into a specific format (e.g., JSON).

[0497] A "server" is a computer system that receives, stores, processes, and forwards structured data sent from a user terminal.

[0498] A "database" is a data management system installed within a server for storing structured data sent by users and generated content.

[0499] "Generative AI" is an AI system that automatically generates content such as text, images, and audio based on user requirements.

[0500] A "prompt" is a sentence containing instructions or guidelines given to a generation AI to specify the requirements and direction of the content to be generated.

[0501] "Preview data" is data that has been formatted so that the generated content can be checked by the user.

[0502] "Feedback" refers to evaluations and requests for corrections made by users to generated content.

[0503] "Creators" are experts or artists who modify content based on user feedback.

[0504] A "download link" is a URL or hyperlink that provides access for a user to obtain the final content file.

[0505] "Fees" are fees calculated based on the size and type of project and paid by users.

[0506] The present invention relates to a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI models). The system includes the following main components: a user terminal, a generative AI, a server, and a creator.

[0507] Specifically, the user's device first provides an interface for the user to input the requirements for a creative project. For example, if the user requests a novel, they enter details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." Once the user has completed the input, the device converts this data into structured data such as JSON format and sends it to the server.

[0508] The server receives the structured data sent from the device and stores it in a database. For this purpose, a common database management system (e.g., MySQL or PostgreSQL) is used. The server then transfers the stored data to the generation AI. For example, OpenAI's GPT-4 or Google's BERT can be used as the generation AI.

[0509] The AI ​​generates the text of a novel based on the received prompt. For example, the prompt might be, "Write a fantasy novel. Please include the following content: the genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The generated text is then sent back to the server.

[0510] The server receives the generated text and formats it as preview data for the user to review. This format is used in HTML or PDF. The server then sends the formatted data to the user's device. The user can review the generated content in the interface and enter feedback or correction requests as needed. For example, the user could enter specific feedback such as "I would like the elf's lines to be a bit more emotional."

[0511] Feedback is sent from the user's device to the server, which then forwards it to the generation AI and creator. The creator then makes any necessary corrections based on the feedback, or uses the generation AI again to create a revised version. Once the revised version is complete, it is sent back to the user's device via the server.

[0512] Finally, if the user is satisfied, they press the "Confirm Delivery" button. The server confirms this and generates the final project file in the appropriate format (e.g., PDF or EPUB file). A download link for the completed file is sent to the user's device.

[0513] In addition, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator.

[0514] In this way, users can quickly and efficiently obtain high-quality creative content, and creators can efficiently monetize their skills. This system smoothly matches users and creators, optimizing the entire process.

[0515] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0516] Step 1:

[0517] The user inputs the requirements for a creative project. Specifically, they input details such as writing a novel, creating illustrations, or composing music. Examples of input include "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." The device converts this input data into structured data such as JSON format. The input data is the user's requirements, and the output data is the requirements information converted into a structured format.

[0518] Step 2:

[0519] The terminal sends structured data (specifically, in JSON format) to the server. The server receives this data and first stores it in a database. Databases such as MySQL or PostgreSQL are often used for this purpose. The input data is structured data, and the output data is the data stored in the database.

[0520] Step 3:

[0521] The server retrieves the data stored in the database and transfers it to the generation AI as a prompt. An example of a prompt is, "Please write a fantasy novel. Please include the following content. The genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The input data is the prompt, and the output data is the instructions transferred to the generation AI.

[0522] Step 4:

[0523] The generative AI generates text data based on prompts sent from the server. Specifically, it automatically generates story episodes and dialogue scenes that follow a plot, such as "an adventure story in which an elf and a dragon develop a friendship." The input data is the prompt, and the output data is the generated text.

[0524] Step 5:

[0525] The server receives the text generated by the generation AI and formats it as preview data. The format is HTML or PDF. The input data is the generated text, and the output data is data formatted for preview.

[0526] Step 6:

[0527] The server sends the preview data to the user's device. The device displays this data to the user, who then confirms it. The input data is the preview data, and the output data is the displayed content.

[0528] Step 7:

[0529] When a user requests feedback or corrections on the displayed content, the user inputs the details into the device. For example, the user might input feedback such as "I would like the elf's lines to be a little more emotional." The input data is the user's feedback, and the output data is the feedback information as structured data.

[0530] Step 8:

[0531] The device sends the feedback information as structured data to the server, which then forwards the feedback to the generation AI and creator. The input data is the structured feedback information, and the output data is instructions for the generation AI and creator.

[0532] Step 9:

[0533] The creator makes the necessary revisions based on the feedback, or uses generative AI again to create a revised version. The input data is the feedback information, and the output data is the revised content.

[0534] Step 10:

[0535] The server sends the revised content back to the user's device, where the user can view it. The input data is the revised content, and the output data is the displayed revisions.

[0536] Step 11:

[0537] When the user is finally satisfied, he / she presses the "Confirm Delivery" button. The server confirms this and generates the final project files in the appropriate format (e.g. PDF or EPUB files). The input data is the confirmation delivery information, and the output data is the final content file.

[0538] Step 12:

[0539] The server sends a download link for the final content file to the user terminal. The input data is the generated final file, and the output data is the sent download link.

[0540] Step 13:

[0541] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator. The input data is project information, and the output data is the fee calculation result and the payment processing result.

[0542] (Application example 1)

[0543] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0544] In today's world, there is a growing demand for users to efficiently generate and edit creative content in a short amount of time. However, existing systems lack the functionality to allow users to input detailed requirements and generate and view content in real time based on those requirements. Furthermore, it is difficult to provide immediate feedback or make corrections to the generated content, making it difficult to provide content smoothly. Furthermore, there is a lack of a way for users to easily input project details and view the generated content using a smartphone or head-mounted display. This creates a demand for the rapid generation and delivery of high-quality creative content.

[0545] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0546] In this invention, the server includes means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content, means for transmitting the generated content to the user terminal as preview data, means for searching for and displaying creators suitable for the user, means for receiving feedback from the user and forwarding the feedback to the generation AI and creators for revisions, means for generating files for delivering final content to the user terminal and providing download links, means for calculating fees based on the size and type of the project and processing payments, and means for the user to input project details using a smartphone or head-mounted display and generate and view creative content in real time, thereby enabling users to intuitively input project details and quickly generate and modify high-quality creative content.

[0547] "User terminal" means a device through which a user accesses the system to enter details of a creative project and view generated content.

[0548] A "creative project" is a creative task or content creation requirement requested by a user, including writing a novel, creating an illustration, composing music, etc.

[0549] "Generative AI" refers to algorithms or models that automatically generate creative content such as text, images, and audio based on user requirements.

[0550] The "means for generating content" is the part of the system that executes the process in which the generative artificial intelligence generates creative content based on requirements entered by the user.

[0551] The "means for transmitting content as preview data" is a part of the system that executes a process for transmitting the generated content to the user terminal in a format that can be confirmed by the user.

[0552] "Creators" are professionals who manually edit and revise content based on the content of the creative project requested by the user, with additional corrections and feedback.

[0553] "Feedback" refers to user-provided evaluations and requests for corrections to generated content.

[0554] The "means for generating files and providing download links" refers to the part of the system that executes the process of creating files in a format that allows users to download the final completed content and providing the links.

[0555] The "means for calculating fees and processing payments" is the part of the system that performs the process of calculating the appropriate fee based on the size and type of project and processing payments from users.

[0556] "Smartphones and head-mounted displays" are portable electronic devices and devices that allow users to access the system, enter project details, and view generated content.

[0557] "Means for generating and viewing creative content in real time" means the part of the system that runs a process that allows a user to input project details and then instantly view the content that is generated in a short period of time.

[0558] This invention is a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI).The system's main components are a user terminal, a generative AI, a server, and a creator.

[0559] Hardware and software used

[0560] Hardware: Smartphones, head-mounted displays, servers, and clusters running generative AI

[0561] Software: Python, Flask (web framework), GPT-4 (generative AI model)

[0562] Implementation details

[0563] User terminal

[0564] Using a smartphone or head-mounted display, users input details about their creative project, which are specified as follows:

[0565] Genre: Specify the type of novel, illustration, etc.

[0566] Characters: For example, elves and dragons

[0567] Plot Summary: A brief story summary

[0568] For example, the prompt the user enters is:

[0569] Prompt Sentence Examples

[0570] Genre: Fantasy

[0571] Characters: Elves, Dragons

[0572] Plot summary: An adventure story about the friendship between an elf and a dragon

[0573] server

[0574] 1. Data Receipt and Storage:

[0575] The server receives project details sent from the user device as structured data, such as JSON, and stores this data in a database.

[0576] 2. Data transfer to the generative AI:

[0577] The server then forwards the received data to the generative AI model.

[0578] 3. Content generation by generative AI:

[0579] Generative AI models (e.g., GPT-4) generate creative content (text, images, audio, etc.) based on user requirements.

[0580] 4. Content Preview:

[0581] The generated content is formatted as preview data by the server and transmitted to the user terminal.

[0582] User

[0583] Check the content:

[0584] The user can view the generated content on a smartphone or head-mounted display, where they can provide feedback.

[0585] Providing feedback:

[0586] The feedback includes specific requests for revision, such as "I wish the elves' lines were a bit more emotional."

[0587] Servers, Generative AI and Creators

[0588] The server receives feedback from users and forwards it to the generation AI and creator. The generation AI generates a revised version based on the feedback, and the creator manually edits it if necessary. The revised version is then sent back to the user's device via the server.

[0589] Content delivery and fee calculation

[0590] Generate the final file:

[0591] When the user is finally satisfied, they press the delivery confirmation button. The server generates the final content in PDF or EPUB format and provides a download link.

[0592] Fee calculation and payment:

[0593] Finally, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0594] The system allows users to intuitively input project details and quickly generate and modify high-quality creative content, and also allows users to generate and view content in real time using a smartphone or head-mounted display.

[0595] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0596] Step 1:

[0597] Entering project details on the user's device

[0598] Using a smartphone or head-mounted display, a user inputs project details such as genre, characters, plot summary, etc. The details entered are sent to the server as structured data in JSON format, etc. The input for this step is the user's creative requirements, and the output is structured data.

[0599] Step 2:

[0600] Data reception and storage by the server

[0601] The server receives the structured data sent from the user's device. The received data is stored in a database. This data contains the user's project details and is ready to be transferred to the generation AI. The input of this step is the structured data and the output is the data stored in the database.

[0602] Step 3:

[0603] Data transfer from the server to the generation AI

[0604] The server transfers the stored structured data to the Generative AI, which then starts the process of generating creative content based on this data. The input for this step is the project details data in the database, and the output is the input data for the Generative AI.

[0605] Step 4:

[0606] Content generation by generative AI

[0607] The Generative AI generates creative content such as text, images, and audio based on the project details received from the server. The generated content is temporarily sent back to the server. The input of this step is the project details data to the Generative AI, and the output is the generated content.

[0608] Step 5:

[0609] Server-generated content formatting

[0610] The server formats the content returned by the generation AI and prepares it as preview data. This preview data is sent to the user's device. The input of this step is the generated content, and the output is the preview data.

[0611] Step 6:

[0612] Check content and provide feedback on user devices

[0613] The user checks the preview data on the device and provides feedback if necessary. The feedback is then sent back to the server. The input to this step is the preview data, and the output is the feedback data.

[0614] Step 7:

[0615] Server Receipt and Forwarding of Feedback

[0616] The server receives the feedback sent by the user and forwards it to the generation AI or creator. Based on this feedback, the content is regenerated or modified. The input of this step is the feedback data, and the output is instructions for modification to the generation AI or creator.

[0617] Step 8:

[0618] Generative AI or creator-generated content modification

[0619] The generative AI or creator modifies the content based on user feedback. The modified content is then sent back to the server. The input of this step is the feedback data, and the output is the modified content.

[0620] Step 9:

[0621] The server generates the final file and provides a download link

[0622] The server generates the final content that the user is satisfied with in a format such as PDF or EPUB and provides a download link. The input of this step is the modified final content, and the output is the download link.

[0623] Step 10:

[0624] Fee calculation and payment processing by the server

[0625] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator. The input of this step is the project details and payment information, and the output is the fee calculation result and a payment completion notification.

[0626] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0627] This invention combines an emotion engine with a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. This system includes the following main means: a user terminal, generative AI, a server, a creator, and an emotion engine. The program processing in this system will be specifically described.

[0628] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0629] The input requirements are analyzed by the emotion engine to recognize the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.). This information is sent to the server along with the requirements data. The server stores the received data in a database and then forwards these requirements and emotional information to the generative AI.

[0630] The generative AI generates creative content based on the user's requirements and emotional information. For example, it automatically generates episodes and dialogue scenes that fit the plot of "an adventure story in which an elf and a dragon forge a friendship," but also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[0631] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might enter feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on their feedback and reflect it in the corrections.

[0632] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can make corrections manually based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is complete, it is sent back to the user's device via the server.

[0633] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0634] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0635] This system allows users to obtain high-quality creative content that reflects their emotions, and creators can efficiently monetize their skills. The introduction of the emotion engine further deepens the user experience, and the generated content will better match user expectations.

[0636] The processing flow will be explained below.

[0637] Step 1:

[0638] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[0639] Step 2:

[0640] The terminal activates an emotion engine to analyze the user's emotions (e.g., excitement, anticipation, anxiety) based on the input form.

[0641] Step 3:

[0642] The emotion engine recognizes the user's emotional state from the input content and user operation behavior, and sends this information together with requirement data to the server as structured data.

[0643] Step 4:

[0644] The server stores the received project details and emotion information in a database.

[0645] Step 5:

[0646] The server retrieves the detailed project data and emotion information stored in the database and sends it to the generation AI.

[0647] Step 6:

[0648] The generative AI generates creative content (e.g., the text of a novel) based on the user's requirements and emotional information. In this case, the content reflects the user's emotions and incorporates particularly stimulating scenes and dramatic developments.

[0649] Step 7:

[0650] The generation AI sends the generated content back to the server.

[0651] Step 8:

[0652] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[0653] Step 9:

[0654] The user can preview and check the generated content on the terminal.

[0655] Step 10:

[0656] After previewing, if the user needs to make corrections or improvements, they can enter feedback or correction requests from their device. At this time, the emotion engine is activated again when the user enters their feedback, and recognizes the emotional state of the user at the time of feedback.

[0657] Step 11:

[0658] The emotion engine analyzes the user's emotional state based on the feedback and sends this information along with the feedback content to the server.

[0659] Step 12:

[0660] The server forwards the received feedback and emotional state to the generation AI and creator.

[0661] Step 13:

[0662] Based on the feedback, creators can either manually make corrections or use the generative AI again to generate corrected content. The emotion engine's analysis information determines the priority of the corrections.

[0663] Step 14:

[0664] The creator and generating AI send the modified content to the server.

[0665] Step 15:

[0666] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[0667] Step 16:

[0668] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[0669] Step 17:

[0670] The server receives the delivery confirmation and generates the final project files in the appropriate format (e.g. PDF, EPUB).

[0671] Step 18:

[0672] The server provides a download link for the final file to the user's device.

[0673] Step 19:

[0674] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[0675] Step 20:

[0676] The user pays the fee using the payment interface.

[0677] Step 20:

[0678] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[0679] Example 2

[0680] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0681] Conventional creative project support systems face challenges in generating content that reflects the user's emotional state. Furthermore, the process of effectively incorporating user feedback into generated content and making optimal revisions is complex and time-consuming. Furthermore, efficient management of fee calculations and payment processing based on the scale and type of project is also required.

[0682] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for receiving feedback from the user, analyzing it using an emotion engine, and identifying the user's emotional state; means for transferring the identified emotional information to the generation AI and creator for correction; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This makes it possible to quickly and efficiently generate and deliver high-quality creative content that reflects the user's emotions.

[0683] A "user terminal" is an electronic device that a user uses to input requirements for a creative project and send feedback.

[0684] "Generative AI" refers to algorithms or systems that automatically generate creative content such as text, images, and audio based on requirements received from users.

[0685] "Content" refers to the results of a creative project, such as a novel, illustration, or music.

[0686] An "emotion engine" is an algorithm or system that analyzes and identifies a user's emotional state based on their input and feedback.

[0687] The "server" is a central management system that receives data sent from user terminals, forwards it to the generation AI, generates content, processes feedback, calculates fees, etc.

[0688] "Feedback" refers to the user's evaluation of the generated content and requests for corrections.

[0689] "Creators" are professionals who manually edit content generated by generative AI or provide additional creative work.

[0690] A "file" is digital data of creative content that is ultimately delivered to a user.

[0691] A "download link" is a URL that allows a user to obtain the final file via the Internet.

[0692] "Project size and type" refers to project characteristics determined by the content and workload of the creative project, client requirements, etc.

[0693] The present invention is a system that uses a user terminal, a generative AI model, a server, a creator, and an emotion engine, in which a user requests a creative project and the emotion engine is used to generate and provide content. Specific embodiments are described below.

[0694] First, the user enters the requirements for the creative project from their own device. The input interface is a web form or a dedicated application. The user enters details of the project, such as writing a novel, creating illustrations, or composing music. For example, if requesting a novel, the user might enter "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure story."

[0695] The device analyzes the input requirement information using an emotion engine. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's input and sends that information along with the requirement data to the server. The server stores the received data in a database and then forwards these requirements and emotional information to the generation AI.

[0696] The generative AI model generates creative content based on the user's requirements and emotional information. For example, it generates episodes and dialogue scenes based on the plot of "an adventure story in which an elf and a dragon forge a friendship." It also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[0697] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might write feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on the user's feedback and reflect it in the corrections.

[0698] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can manually make corrections based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is created, it is sent back to the user's device via the server.

[0699] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0700] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0701] Examples of prompts include:

[0702] 1. "Genre: Fantasy, Characters: Elves, Dragons, Plot Summary: An adventure story. The main character, an elf, goes on a journey to find a magical sword."

[0703] 2. "Feedback: I'd like the elves' lines to be a bit more emotional, especially in the scene where they meet the dragon."

[0704] 3. "Final confirmation: I would like the final file to be generated in PDF format."

[0705] Based on these prompts, the system can generate content according to the user's request and make any necessary modifications.

[0706] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0707] Step 1:

[0708] Users use their own devices to input the requirements for their creative projects. Through the interface, users input detailed information such as the project's genre, characters, and plot summary. For example, for a novel, users might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0709] Input: Project requirement information that the user enters into the interface.

[0710] Output: The requirements information is saved to the terminal and is ready for the next processing step.

[0711] Specific behavior: A user enters requirements into a web form and presses the submit button.

[0712] Step 2:

[0713] The terminal sends the requirement information entered by the user to the emotion engine for analysis. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's requirements.

[0714] Input: The requirement information entered by the user into the terminal.

[0715] Output: Information about the emotional state identified by the emotion engine.

[0716] Specific operation: The device sends requirement information to the emotion engine, which then performs emotion analysis.

[0717] Step 3:

[0718] The device transmits the analyzed emotional state together with the requirement data to the server, which stores the received data in a database.

[0719] Input: Sentiment analysis results from the emotion engine and user requirement information.

[0720] Output: Requirement data and sentiment information stored in the server database.

[0721] Specific operation: The device sends the emotion analysis results and requirement information to the server, which then stores them in a database.

[0722] Step 4:

[0723] The server transfers the saved requirement data and emotion information to the generation AI, which then generates creative content based on this data.

[0724] Input: Requirement data and sentiment information stored on the server.

[0725] Output: Creative content generated by generative AI.

[0726] How it works: The server transfers data to the generation AI, which then generates text based on the plot and characters.

[0727] Step 5:

[0728] The server receives the content generated by the generation AI, formats it for preview, and then sends the preview data to the user's device.

[0729] Input: Creative content received from the generative AI.

[0730] Output: Data formatted for preview.

[0731] Specific operation: The server converts the text data into a preview format such as HTML and sends it to the user's device.

[0732] Step 6:

[0733] The user can use the device to check the generated content on the preview screen and input any necessary corrections or feedback, such as "I would like the elf's lines to be a little more expressive."

[0734] Input: Creative content formatted for preview.

[0735] Output: User feedback.

[0736] Specific operation: The user checks the preview screen, enters correction requests in the feedback form, and submits it.

[0737] Step 7:

[0738] The server sends the feedback received from the user to the emotion engine for further analysis, and forwards the analysis results and feedback to the generation AI and creator.

[0739] Input: Feedback received from users.

[0740] Output: Sentiment-analyzed feedback and correction information forwarded to the generative AI and creators.

[0741] Specific operation: The server sends feedback to the emotion engine and forwards the analysis results to the generation AI and creator.

[0742] Step 8:

[0743] The generative AI and creators then automatically or manually revise the content based on the feedback and emotional information sent from the server, and once the revised version is complete, it is sent back to the server.

[0744] Input: Sentiment-analyzed feedback and correction requests.

[0745] Output: The modified creative content.

[0746] What it does: The generative AI regenerates the text based on the feedback, and the creator makes corrections as needed.

[0747] Step 9:

[0748] The server receives the modified content, reformats it, and transmits it to the user's terminal.

[0749] Input: The modified creative content.

[0750] Output: The formatted and revised content.

[0751] What happens: The server formats the revised text for preview and sends it to the user's device.

[0752] Step 10:

[0753] The user checks the revised content again on the terminal, and if satisfied, presses the delivery confirmation button, which sends a signal to the server.

[0754] Input: The revised content.

[0755] Output: Delivery confirmation signal.

[0756] Specific operation: The user clicks the "Confirm Delivery" button, and a signal is sent to the server.

[0757] Step 11:

[0758] The server receives the delivery confirmation signal, generates the final file in the appropriate format (e.g., PDF or EPUB), and provides a download link to the user's device.

[0759] Input: Delivery confirmation signal.

[0760] Output: Download link for the final file.

[0761] Specific operation: The server converts the final file to PDF / EPUB and sends the download URL to the user.

[0762] Step 12:

[0763] The server calculates the fee based on the size and type of the project, and displays the payment interface on the user's device. After the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0764] Input: Project information and delivery confirmation signal.

[0765] Output: Payment interface and payment to creators.

[0766] What it does: The server processes the payment using a payment system such as Stripe or PayPal and distributes the reward to the creator.

[0767] (Application example 2)

[0768] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0769] Current creative content generation systems using generative AI have difficulty generating content that reflects the user's emotional state. Furthermore, they lack optimal feedback responses to individual users and automated correction processes. As a result, user satisfaction declines and the quality of the final content is difficult to guarantee.

[0770] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for using an emotion analysis engine to recognize the user's emotional state and reflect that emotional state in the content to be generated; means for receiving feedback from the user and forwarding the feedback to the generation AI and creator for corrections; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This enables the generation of high-quality content that reflects the user's emotional state and the automation of efficient feedback responses and correction processes.

[0771] A "user terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0772] "Creative Project" refers to creative activities such as novels, illustrations, music, etc. that users create using generative AI, as well as the content of those requests.

[0773] "Generative AI" refers to systems or algorithms that use artificial intelligence technology to automatically generate creative content such as text, images, and audio.

[0774] "Preview data" refers to a display format or data that allows the user to check the generated content in advance.

[0775] "Creators" are professionals and artists who complement generative AI in creative projects and perform human corrections and additional creative work.

[0776] An "emotion analysis engine" is a technology or system that recognizes a user's emotional state and reflects that information in content.

[0777] "Feedback" refers to the act of a user providing opinions, improvements, correction requests, etc. regarding generated content.

[0778] "Files for Delivery" means digital files created in an appropriate format for providing the final, completed creative content to users.

[0779] "Download Link" means a web link that a User clicks on to obtain a digital file delivered over a network.

[0780] "Fees" means the fees calculated as payment for commissioning a Creative Project or generated Content.

[0781] MODE FOR CARRYING OUT THE INVENTION

[0782] To implement this invention, collaboration between a user terminal, a server, an emotion analysis engine, a generation AI, and a creator is required.

[0783] System Configuration

[0784] 1. User Device:

[0785] It is a device (smartphone, tablet, PC) that allows users to input requirements for creative projects and recognize their emotional state.

[0786] Use the camera function to capture the user's emotional state.

[0787] 2. Server:

[0788] A core system that aggregates all data and transmits and processes the data to the generative AI and creators.

[0789] Preview data is generated and sent to the user's device.

[0790] Receive user feedback and forward it to the generative AI and creators.

[0791] 3. Generation AI:

[0792] AI that generates creative content such as text, images, and audio based on user requirements and emotional information.

[0793] Generate content using prompt text.

[0794] 4. Sentiment Analysis Engine:

[0795] Technology that analyzes camera data and recognizes the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.).

[0796] 5. Creator:

[0797] An expert who modifies and adds to content generated by generative AI based on user feedback.

[0798] Process Description

[0799] 1. First, the user device provides an interface where the user inputs the requirements for a creative project. For example, to request the writing of a novel, the user can input requirements such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0800] 2. Using the camera function of the user device, the emotion analysis engine recognizes the user's emotional state. For example, it analyzes that the user is in an emotional state of "excitement."

[0801] 3. The requirement data and emotion information are sent to the server, which then forwards this data to the generation AI and requests it to generate content.

[0802] 4. The generative AI generates creative content using prompts. For example, it creates an exciting adventure story based on the prompts "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon forge a friendship."

[0803] 5. The generated content is sent to the server and formatted as preview data. The preview data is sent to the user's device, where the user can check the generated content.

[0804] 6. When a user enters feedback, for example, "I would like the elf's lines to be a little more emotional," the feedback is sent to the server, where the emotion analysis engine again recognizes the user's emotional state and analyzes the emotion the feedback is based on.

[0805] 7. Based on the feedback, the generation AI or creator makes corrections. The server then sends the corrected content back to the user's device for final confirmation.

[0806] 8. Finally, when the user presses the confirmation button, the file to be delivered is generated and a download link is provided from the server.

[0807] This allows users to obtain high-quality creative content that meets their needs and desires.

[0808] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0809] Step 1:

[0810] The user terminal provides an interface for inputting the requirements of a creative project. Here, the user inputs the project's genre, characters, plot summary, etc. For example, the user might input details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." This becomes the initial input data for the system.

[0811] Step 2:

[0812] The user device uses its camera function to analyze the user's face and recognize their emotional state. The emotion analysis engine processes this data and analyzes the user's emotional state (e.g., "excited"). The input data is the user's facial image, and the output data is the identification result of the emotional state.

[0813] Step 3:

[0814] The requirement data entered by the user and the results of the emotional state identification are sent from the user terminal to the server. The server receives this data and stores it in a database. The input data is the requirement data and emotional data, and the output data is the information stored in the database.

[0815] Step 4:

[0816] The server sends the received requirement data and emotional state data to the generation AI, which generates creative content based on this data. For example, the generation AI generates a story based on the prompt statements "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon develop a friendship." The input data are the requirement data and emotional data, and the output data is the generated content.

[0817] Step 5:

[0818] The content generated by the generation AI is sent to the server, which formats it as preview data. The preview data is then sent to the user's device, where the user can view the generated content on the interface. The input data is the generated content, and the output data is the preview format data.

[0819] Step 6:

[0820] The user checks the preview data and inputs feedback as necessary. For example, they may input feedback such as "I would like the elf's lines to be a little more emotional." This feedback is sent from the user's terminal to the server. The input data is the user's feedback, and the output data is the feedback information sent to the server.

[0821] Step 7:

[0822] The server forwards the feedback information to the generation AI and creator and requests corrections. The generation AI corrects the content based on the feedback and the re-analyzed emotional information. If the creator is involved, they also make manual corrections based on the feedback. The input data are the feedback information and emotional data, and the output data is the corrected content.

[0823] Step 8:

[0824] The modified content is sent back to the server and formatted for preview. It is then sent back to the user's device, where the user can review the modifications. This process is repeated until the user is satisfied. The input data is the modified content, and the output data is the preview-formatted data again.

[0825] Step 9:

[0826] When the user finally presses the "Confirm Delivery" button, the server generates the final content in the appropriate file format and provides a download link. The user device uses this link to download the final file. The input data is a confirmation of delivery, and the output data is the download link and the delivered file.

[0827] Step 10:

[0828] Based on the size and type of the project, the server calculates the fee and displays the payment interface for the user. After the user completes the payment, the fee is distributed to the system and the creator. The input data is project information, and the output data is the fee calculation result and payment information.

[0829] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0830] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0831] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0832] [Third embodiment]

[0833] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0834] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0835] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0836] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0837] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0838] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0839] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0840] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0841] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0842] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0843] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0844] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0845] This invention is a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. The system includes the following main components: a user terminal, a generative AI, a server, and a creator. The program processing in this system will be described in detail.

[0846] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[0847] Once the input is complete, the terminal structures this data and sends it to the server in JSON format, etc. The server stores the received data in a database and then forwards these requirements to the generative AI.

[0848] The AI ​​generates text for a novel based on the user's requirements. For example, it automatically generates episodes and dialogue scenes that fit the plot of an "adventure story in which an elf and a dragon develop a friendship." Once generation is complete, the generated text is sent back to the server.

[0849] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or request corrections after viewing the content, they can enter that information through the interface. For example, they could enter feedback such as, "I'd like the elf's lines to be a little more emotional."

[0850] User feedback is sent from the device to the server. The server forwards this feedback to the generating AI and the creator. The creator then uses the feedback to make manual corrections or use the generating AI again to create a revised version. Once the revised version is ready, it is sent back to the user's device via the server.

[0851] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[0852] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0853] This system allows users to quickly and efficiently obtain high-quality creative content, and creators to efficiently monetize their skills. The platform also smoothly matches users and creators, optimizing the entire process.

[0854] The processing flow will be explained below.

[0855] Step 1:

[0856] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[0857] Step 2:

[0858] The terminal converts the user's input into structured data such as JSON format and sends it to the server.

[0859] Step 3:

[0860] The server stores the received project details in a database.

[0861] Step 4:

[0862] The server retrieves the detailed data of the saved project from the database and sends it to the generation AI.

[0863] Step 5:

[0864] The generative AI generates creative content (e.g., the text of a novel) based on the project details it receives.

[0865] Step 6:

[0866] The generation AI sends the generated content back to the server.

[0867] Step 7:

[0868] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[0869] Step 8:

[0870] The user can preview and check the generated content on the terminal.

[0871] Step 9:

[0872] After previewing, if any corrections or improvements are needed, the user can enter feedback or correction requests from the terminal.

[0873] Step 10:

[0874] The device sends user feedback and correction requests to the server.

[0875] Step 11:

[0876] The server forwards the received feedback and correction requests to the generation AI and creators.

[0877] Step 12:

[0878] Based on the feedback, creators can either make manual corrections or use generative AI again to generate corrected content.

[0879] Step 13:

[0880] The creator and generating AI send the modified content to the server.

[0881] Step 14:

[0882] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[0883] Step 15:

[0884] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[0885] Step 16:

[0886] The server receives the delivery confirmation and generates the final file in the appropriate format (e.g. PDF, EPUB).

[0887] Step 17:

[0888] The server provides a download link for the final file to the user's device.

[0889] Step 18:

[0890] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[0891] Step 19:

[0892] The user pays the fee using the payment interface.

[0893] Step 20:

[0894] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[0895] Example 1

[0896] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0897] Current creative content generation systems face the problem of complex and time-consuming processes, including the user inputting project requirements, efficiently processing them, previewing the generated content, and making corrections based on feedback. Furthermore, matching creators with users and calculating and paying fees based on the scale of the project are also cumbersome. A system that solves these issues is needed.

[0898] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0899] In this invention, the server includes a means for receiving creative project requirements from a user terminal and transmitting them to the server as structured data; a means for the server to store the received structured data in a database and generate content by sending prompts to a generation artificial intelligence; and a means for formatting the generated content for preview and transmitting it to the user terminal. This allows users to efficiently advance creative projects and quickly review and modify the generated content. Furthermore, the entire process is optimized by automating smooth matching with creators and the calculation and payment of project-based fees.

[0900] A "user terminal" is an electronic device for inputting creative project requirements and previewing and providing feedback on generated content.

[0901] "Structured data" refers to user-entered creative project requirements that have been converted into a specific format (e.g., JSON).

[0902] A "server" is a computer system that receives, stores, processes, and forwards structured data sent from a user terminal.

[0903] A "database" is a data management system installed within a server for storing structured data sent by users and generated content.

[0904] "Generative AI" is an AI system that automatically generates content such as text, images, and audio based on user requirements.

[0905] A "prompt" is a sentence containing instructions or guidelines given to a generation AI to specify the requirements and direction of the content to be generated.

[0906] "Preview data" is data that has been formatted so that the generated content can be checked by the user.

[0907] "Feedback" refers to evaluations and requests for corrections made by users to generated content.

[0908] "Creators" are experts or artists who modify content based on user feedback.

[0909] A "download link" is a URL or hyperlink that provides access for a user to obtain the final content file.

[0910] "Fees" are fees calculated based on the size and type of project and paid by users.

[0911] The present invention relates to a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI models). The system includes the following main components: a user terminal, a generative AI, a server, and a creator.

[0912] Specifically, the user's device first provides an interface for the user to input the requirements for a creative project. For example, if the user requests a novel, they enter details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." Once the user has completed the input, the device converts this data into structured data such as JSON format and sends it to the server.

[0913] The server receives the structured data sent from the device and stores it in a database. For this purpose, a common database management system (e.g., MySQL or PostgreSQL) is used. The server then transfers the stored data to the generation AI. For example, OpenAI's GPT-4 or Google's BERT can be used as the generation AI.

[0914] The AI ​​generates the text of a novel based on the received prompt. For example, the prompt might be, "Write a fantasy novel. Please include the following content: the genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The generated text is then sent back to the server.

[0915] The server receives the generated text and formats it as preview data for the user to review. This format is used in HTML or PDF. The server then sends the formatted data to the user's device. The user can review the generated content in the interface and enter feedback or correction requests as needed. For example, the user could enter specific feedback such as "I would like the elf's lines to be a bit more emotional."

[0916] Feedback is sent from the user's device to the server, which then forwards it to the generation AI and creator. The creator then makes any necessary corrections based on the feedback, or uses the generation AI again to create a revised version. Once the revised version is complete, it is sent back to the user's device via the server.

[0917] Finally, if the user is satisfied, they press the "Confirm Delivery" button. The server confirms this and generates the final project file in the appropriate format (e.g., PDF or EPUB file). A download link for the completed file is sent to the user's device.

[0918] In addition, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator.

[0919] In this way, users can quickly and efficiently obtain high-quality creative content, and creators can efficiently monetize their skills. This system smoothly matches users and creators, optimizing the entire process.

[0920] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0921] Step 1:

[0922] The user inputs the requirements for a creative project. Specifically, they input details such as writing a novel, creating illustrations, or composing music. Examples of input include "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." The device converts this input data into structured data such as JSON format. The input data is the user's requirements, and the output data is the requirements information converted into a structured format.

[0923] Step 2:

[0924] The terminal sends structured data (specifically, in JSON format) to the server. The server receives this data and first stores it in a database. Databases such as MySQL or PostgreSQL are often used for this purpose. The input data is structured data, and the output data is the data stored in the database.

[0925] Step 3:

[0926] The server retrieves the data stored in the database and transfers it to the generation AI as a prompt. An example of a prompt is, "Please write a fantasy novel. Please include the following content. The genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The input data is the prompt, and the output data is the instructions transferred to the generation AI.

[0927] Step 4:

[0928] The generative AI generates text data based on prompts sent from the server. Specifically, it automatically generates story episodes and dialogue scenes that follow a plot, such as "an adventure story in which an elf and a dragon develop a friendship." The input data is the prompt, and the output data is the generated text.

[0929] Step 5:

[0930] The server receives the text generated by the generation AI and formats it as preview data. The format is HTML or PDF. The input data is the generated text, and the output data is data formatted for preview.

[0931] Step 6:

[0932] The server sends the preview data to the user's device. The device displays this data to the user, who then confirms it. The input data is the preview data, and the output data is the displayed content.

[0933] Step 7:

[0934] When a user requests feedback or corrections on the displayed content, the user inputs the details into the device. For example, the user might input feedback such as "I would like the elf's lines to be a little more emotional." The input data is the user's feedback, and the output data is the feedback information as structured data.

[0935] Step 8:

[0936] The device sends the feedback information as structured data to the server, which then forwards the feedback to the generation AI and creator. The input data is the structured feedback information, and the output data is instructions for the generation AI and creator.

[0937] Step 9:

[0938] The creator makes the necessary revisions based on the feedback, or uses generative AI again to create a revised version. The input data is the feedback information, and the output data is the revised content.

[0939] Step 10:

[0940] The server sends the revised content back to the user's device, where the user can view it. The input data is the revised content, and the output data is the displayed revisions.

[0941] Step 11:

[0942] When the user is finally satisfied, he / she presses the "Confirm Delivery" button. The server confirms this and generates the final project files in the appropriate format (e.g. PDF or EPUB files). The input data is the confirmation delivery information, and the output data is the final content file.

[0943] Step 12:

[0944] The server sends a download link for the final content file to the user terminal. The input data is the generated final file, and the output data is the sent download link.

[0945] Step 13:

[0946] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator. The input data is project information, and the output data is the fee calculation result and the payment processing result.

[0947] (Application example 1)

[0948] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0949] In today's world, there is a growing demand for users to efficiently generate and edit creative content in a short amount of time. However, existing systems lack the functionality to allow users to input detailed requirements and generate and view content in real time based on those requirements. Furthermore, it is difficult to provide immediate feedback or make corrections to the generated content, making it difficult to provide content smoothly. Furthermore, there is a lack of a way for users to easily input project details and view the generated content using a smartphone or head-mounted display. This creates a demand for the rapid generation and delivery of high-quality creative content.

[0950] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0951] In this invention, the server includes means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content, means for transmitting the generated content to the user terminal as preview data, means for searching for and displaying creators suitable for the user, means for receiving feedback from the user and forwarding the feedback to the generation AI and creators for revisions, means for generating files for delivering final content to the user terminal and providing download links, means for calculating fees based on the size and type of the project and processing payments, and means for the user to input project details using a smartphone or head-mounted display and generate and view creative content in real time, thereby enabling users to intuitively input project details and quickly generate and modify high-quality creative content.

[0952] "User terminal" means a device through which a user accesses the system to enter details of a creative project and view generated content.

[0953] A "creative project" is a creative task or content creation requirement requested by a user, including writing a novel, creating an illustration, composing music, etc.

[0954] "Generative AI" refers to algorithms or models that automatically generate creative content such as text, images, and audio based on user requirements.

[0955] The "means for generating content" is the part of the system that executes the process in which the generative artificial intelligence generates creative content based on requirements entered by the user.

[0956] The "means for transmitting content as preview data" is a part of the system that executes a process for transmitting the generated content to the user terminal in a format that can be confirmed by the user.

[0957] "Creators" are professionals who manually edit and revise content based on the content of the creative project requested by the user, with additional corrections and feedback.

[0958] "Feedback" refers to user-provided evaluations and requests for corrections to generated content.

[0959] The "means for generating files and providing download links" refers to the part of the system that executes the process of creating files in a format that allows users to download the final completed content and providing the links.

[0960] The "means for calculating fees and processing payments" is the part of the system that performs the process of calculating the appropriate fee based on the size and type of project and processing payments from users.

[0961] "Smartphones and head-mounted displays" are portable electronic devices and devices that allow users to access the system, enter project details, and view generated content.

[0962] "Means for generating and viewing creative content in real time" means the part of the system that runs a process that allows a user to input project details and then instantly view the content that is generated in a short period of time.

[0963] This invention is a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI).The system's main components are a user terminal, a generative AI, a server, and a creator.

[0964] Hardware and software used

[0965] Hardware: Smartphones, head-mounted displays, servers, and clusters running generative AI

[0966] Software: Python, Flask (web framework), GPT-4 (generative AI model)

[0967] Implementation details

[0968] User terminal

[0969] Using a smartphone or head-mounted display, users input details about their creative project, which are specified as follows:

[0970] Genre: Specify the type of novel, illustration, etc.

[0971] Characters: For example, elves and dragons

[0972] Plot Summary: A brief story summary

[0973] For example, the prompt the user enters is:

[0974] Prompt Sentence Examples

[0975] Genre: Fantasy

[0976] Characters: Elves, Dragons

[0977] Plot summary: An adventure story about the friendship between an elf and a dragon

[0978] server

[0979] 1. Data Receipt and Storage:

[0980] The server receives project details sent from the user device as structured data, such as JSON, and stores this data in a database.

[0981] 2. Data transfer to the generative AI:

[0982] The server then forwards the received data to the generative AI model.

[0983] 3. Content generation by generative AI:

[0984] Generative AI models (e.g., GPT-4) generate creative content (text, images, audio, etc.) based on user requirements.

[0985] 4. Content Preview:

[0986] The generated content is formatted as preview data by the server and transmitted to the user terminal.

[0987] User

[0988] Check the content:

[0989] The user can view the generated content on a smartphone or head-mounted display, where they can provide feedback.

[0990] Providing feedback:

[0991] The feedback includes specific requests for revision, such as "I wish the elves' lines were a bit more emotional."

[0992] Servers, Generative AI and Creators

[0993] The server receives feedback from users and forwards it to the generation AI and creator. The generation AI generates a revised version based on the feedback, and the creator manually edits it if necessary. The revised version is then sent back to the user's device via the server.

[0994] Content delivery and fee calculation

[0995] Generate the final file:

[0996] When the user is finally satisfied, they press the delivery confirmation button. The server generates the final content in PDF or EPUB format and provides a download link.

[0997] Fee calculation and payment:

[0998] Finally, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[0999] The system allows users to intuitively input project details and quickly generate and modify high-quality creative content, and also allows users to generate and view content in real time using a smartphone or head-mounted display.

[1000] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1001] Step 1:

[1002] Entering project details on the user's device

[1003] Using a smartphone or head-mounted display, a user inputs project details such as genre, characters, plot summary, etc. The details entered are sent to the server as structured data in JSON format, etc. The input for this step is the user's creative requirements, and the output is structured data.

[1004] Step 2:

[1005] Data reception and storage by the server

[1006] The server receives the structured data sent from the user's device. The received data is stored in a database. This data contains the user's project details and is ready to be transferred to the generation AI. The input of this step is the structured data and the output is the data stored in the database.

[1007] Step 3:

[1008] Data transfer from the server to the generation AI

[1009] The server transfers the stored structured data to the Generative AI, which then starts the process of generating creative content based on this data. The input for this step is the project details data in the database, and the output is the input data for the Generative AI.

[1010] Step 4:

[1011] Content generation by generative AI

[1012] The Generative AI generates creative content such as text, images, and audio based on the project details received from the server. The generated content is temporarily sent back to the server. The input of this step is the project details data to the Generative AI, and the output is the generated content.

[1013] Step 5:

[1014] Server-generated content formatting

[1015] The server formats the content returned by the generation AI and prepares it as preview data. This preview data is sent to the user's device. The input of this step is the generated content, and the output is the preview data.

[1016] Step 6:

[1017] Check content and provide feedback on user devices

[1018] The user checks the preview data on the device and provides feedback if necessary. The feedback is then sent back to the server. The input to this step is the preview data, and the output is the feedback data.

[1019] Step 7:

[1020] Server Receipt and Forwarding of Feedback

[1021] The server receives the feedback sent by the user and forwards it to the generation AI or creator. Based on this feedback, the content is regenerated or modified. The input of this step is the feedback data, and the output is instructions for modification to the generation AI or creator.

[1022] Step 8:

[1023] Generative AI or creator-generated content modification

[1024] The generative AI or creator modifies the content based on user feedback. The modified content is then sent back to the server. The input of this step is the feedback data, and the output is the modified content.

[1025] Step 9:

[1026] The server generates the final file and provides a download link

[1027] The server generates the final content that the user is satisfied with in a format such as PDF or EPUB and provides a download link. The input of this step is the modified final content, and the output is the download link.

[1028] Step 10:

[1029] Fee calculation and payment processing by the server

[1030] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator. The input of this step is the project details and payment information, and the output is the fee calculation result and a payment completion notification.

[1031] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1032] This invention combines an emotion engine with a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. This system includes the following main means: a user terminal, generative AI, a server, a creator, and an emotion engine. The program processing in this system will be specifically described.

[1033] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1034] The input requirements are analyzed by the emotion engine to recognize the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.). This information is sent to the server along with the requirements data. The server stores the received data in a database and then forwards these requirements and emotional information to the generative AI.

[1035] The generative AI generates creative content based on the user's requirements and emotional information. For example, it automatically generates episodes and dialogue scenes that fit the plot of "an adventure story in which an elf and a dragon forge a friendship," but also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[1036] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might enter feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on their feedback and reflect it in the corrections.

[1037] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can make corrections manually based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is complete, it is sent back to the user's device via the server.

[1038] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[1039] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1040] This system allows users to obtain high-quality creative content that reflects their emotions, and creators can efficiently monetize their skills. The introduction of the emotion engine further deepens the user experience, and the generated content will better match user expectations.

[1041] The processing flow will be explained below.

[1042] Step 1:

[1043] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[1044] Step 2:

[1045] The terminal activates an emotion engine to analyze the user's emotions (e.g., excitement, anticipation, anxiety) based on the input form.

[1046] Step 3:

[1047] The emotion engine recognizes the user's emotional state from the input content and user operation behavior, and sends this information together with requirement data to the server as structured data.

[1048] Step 4:

[1049] The server stores the received project details and emotion information in a database.

[1050] Step 5:

[1051] The server retrieves the detailed project data and emotion information stored in the database and sends it to the generation AI.

[1052] Step 6:

[1053] The generative AI generates creative content (e.g., the text of a novel) based on the user's requirements and emotional information. In this case, the content reflects the user's emotions and incorporates particularly stimulating scenes and dramatic developments.

[1054] Step 7:

[1055] The generation AI sends the generated content back to the server.

[1056] Step 8:

[1057] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[1058] Step 9:

[1059] The user can preview and check the generated content on the terminal.

[1060] Step 10:

[1061] After previewing, if the user needs to make corrections or improvements, they can enter feedback or correction requests from their device. At this time, the emotion engine is activated again when the user enters their feedback, and recognizes the emotional state of the user at the time of feedback.

[1062] Step 11:

[1063] The emotion engine analyzes the user's emotional state based on the feedback and sends this information along with the feedback content to the server.

[1064] Step 12:

[1065] The server forwards the received feedback and emotional state to the generation AI and creator.

[1066] Step 13:

[1067] Based on the feedback, creators can either manually make corrections or use the generative AI again to generate corrected content. The emotion engine's analysis information determines the priority of the corrections.

[1068] Step 14:

[1069] The creator and generating AI send the modified content to the server.

[1070] Step 15:

[1071] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[1072] Step 16:

[1073] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[1074] Step 17:

[1075] The server receives the delivery confirmation and generates the final project files in the appropriate format (e.g. PDF, EPUB).

[1076] Step 18:

[1077] The server provides a download link for the final file to the user's device.

[1078] Step 19:

[1079] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[1080] Step 20:

[1081] The user pays the fee using the payment interface.

[1082] Step 20:

[1083] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[1084] Example 2

[1085] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1086] Conventional creative project support systems face challenges in generating content that reflects the user's emotional state. Furthermore, the process of effectively incorporating user feedback into generated content and making optimal revisions is complex and time-consuming. Furthermore, efficient management of fee calculations and payment processing based on the scale and type of project is also required.

[1087] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for receiving feedback from the user, analyzing it using an emotion engine, and identifying the user's emotional state; means for transferring the identified emotional information to the generation AI and creator for correction; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This makes it possible to quickly and efficiently generate and deliver high-quality creative content that reflects the user's emotions.

[1088] A "user terminal" is an electronic device that a user uses to input requirements for a creative project and send feedback.

[1089] "Generative AI" refers to algorithms or systems that automatically generate creative content such as text, images, and audio based on requirements received from users.

[1090] "Content" refers to the results of a creative project, such as a novel, illustration, or music.

[1091] An "emotion engine" is an algorithm or system that analyzes and identifies a user's emotional state based on their input and feedback.

[1092] The "server" is a central management system that receives data sent from user terminals, forwards it to the generation AI, generates content, processes feedback, calculates fees, etc.

[1093] "Feedback" refers to the user's evaluation of the generated content and requests for corrections.

[1094] "Creators" are professionals who manually edit content generated by generative AI or provide additional creative work.

[1095] A "file" is digital data of creative content that is ultimately delivered to a user.

[1096] A "download link" is a URL that allows a user to obtain the final file via the Internet.

[1097] "Project size and type" refers to project characteristics determined by the content and workload of the creative project, client requirements, etc.

[1098] The present invention is a system that uses a user terminal, a generative AI model, a server, a creator, and an emotion engine, in which a user requests a creative project and the emotion engine is used to generate and provide content. Specific embodiments are described below.

[1099] First, the user enters the requirements for the creative project from their own device. The input interface is a web form or a dedicated application. The user enters details of the project, such as writing a novel, creating illustrations, or composing music. For example, if requesting a novel, the user might enter "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure story."

[1100] The device analyzes the input requirement information using an emotion engine. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's input and sends that information along with the requirement data to the server. The server stores the received data in a database and then forwards these requirements and emotional information to the generation AI.

[1101] The generative AI model generates creative content based on the user's requirements and emotional information. For example, it generates episodes and dialogue scenes based on the plot of "an adventure story in which an elf and a dragon forge a friendship." It also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[1102] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might write feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on the user's feedback and reflect it in the corrections.

[1103] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can manually make corrections based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is created, it is sent back to the user's device via the server.

[1104] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[1105] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1106] Examples of prompts include:

[1107] 1. "Genre: Fantasy, Characters: Elves, Dragons, Plot Summary: An adventure story. The main character, an elf, goes on a journey to find a magical sword."

[1108] 2. "Feedback: I'd like the elves' lines to be a bit more emotional, especially in the scene where they meet the dragon."

[1109] 3. "Final confirmation: I would like the final file to be generated in PDF format."

[1110] Based on these prompts, the system can generate content according to the user's request and make any necessary modifications.

[1111] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1112] Step 1:

[1113] Users use their own devices to input the requirements for their creative projects. Through the interface, users input detailed information such as the project's genre, characters, and plot summary. For example, for a novel, users might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1114] Input: Project requirement information that the user enters into the interface.

[1115] Output: The requirements information is saved to the terminal and is ready for the next processing step.

[1116] Specific behavior: A user enters requirements into a web form and presses the submit button.

[1117] Step 2:

[1118] The terminal sends the requirement information entered by the user to the emotion engine for analysis. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's requirements.

[1119] Input: The requirement information entered by the user into the terminal.

[1120] Output: Information about the emotional state identified by the emotion engine.

[1121] Specific operation: The device sends requirement information to the emotion engine, which then performs emotion analysis.

[1122] Step 3:

[1123] The device transmits the analyzed emotional state together with the requirement data to the server, which stores the received data in a database.

[1124] Input: Sentiment analysis results from the emotion engine and user requirement information.

[1125] Output: Requirement data and sentiment information stored in the server database.

[1126] Specific operation: The device sends the emotion analysis results and requirement information to the server, which then stores them in a database.

[1127] Step 4:

[1128] The server transfers the saved requirement data and emotion information to the generation AI, which then generates creative content based on this data.

[1129] Input: Requirement data and sentiment information stored on the server.

[1130] Output: Creative content generated by generative AI.

[1131] How it works: The server transfers data to the generation AI, which then generates text based on the plot and characters.

[1132] Step 5:

[1133] The server receives the content generated by the generation AI, formats it for preview, and then sends the preview data to the user's device.

[1134] Input: Creative content received from the generative AI.

[1135] Output: Data formatted for preview.

[1136] Specific operation: The server converts the text data into a preview format such as HTML and sends it to the user's device.

[1137] Step 6:

[1138] The user can use the device to check the generated content on the preview screen and input any necessary corrections or feedback, such as "I would like the elf's lines to be a little more expressive."

[1139] Input: Creative content formatted for preview.

[1140] Output: User feedback.

[1141] Specific operation: The user checks the preview screen, enters correction requests in the feedback form, and submits it.

[1142] Step 7:

[1143] The server sends the feedback received from the user to the emotion engine for further analysis, and forwards the analysis results and feedback to the generation AI and creator.

[1144] Input: Feedback received from users.

[1145] Output: Sentiment-analyzed feedback and correction information forwarded to the generative AI and creators.

[1146] Specific operation: The server sends feedback to the emotion engine and forwards the analysis results to the generation AI and creator.

[1147] Step 8:

[1148] The generative AI and creators then automatically or manually revise the content based on the feedback and emotional information sent from the server, and once the revised version is complete, it is sent back to the server.

[1149] Input: Sentiment-analyzed feedback and correction requests.

[1150] Output: The modified creative content.

[1151] What it does: The generative AI regenerates the text based on the feedback, and the creator makes corrections as needed.

[1152] Step 9:

[1153] The server receives the modified content, reformats it, and transmits it to the user's terminal.

[1154] Input: The modified creative content.

[1155] Output: The formatted and revised content.

[1156] What happens: The server formats the revised text for preview and sends it to the user's device.

[1157] Step 10:

[1158] The user checks the revised content again on the terminal, and if satisfied, presses the delivery confirmation button, which sends a signal to the server.

[1159] Input: The revised content.

[1160] Output: Delivery confirmation signal.

[1161] Specific operation: The user clicks the "Confirm Delivery" button, and a signal is sent to the server.

[1162] Step 11:

[1163] The server receives the delivery confirmation signal, generates the final file in the appropriate format (e.g., PDF or EPUB), and provides a download link to the user's device.

[1164] Input: Delivery confirmation signal.

[1165] Output: Download link for the final file.

[1166] Specific operation: The server converts the final file to PDF / EPUB and sends the download URL to the user.

[1167] Step 12:

[1168] The server calculates the fee based on the size and type of the project, and displays the payment interface on the user's device. After the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1169] Input: Project information and delivery confirmation signal.

[1170] Output: Payment interface and payment to creators.

[1171] What it does: The server processes the payment using a payment system such as Stripe or PayPal and distributes the reward to the creator.

[1172] (Application example 2)

[1173] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1174] Current creative content generation systems using generative AI have difficulty generating content that reflects the user's emotional state. Furthermore, they lack optimal feedback responses to individual users and automated correction processes. As a result, user satisfaction declines and the quality of the final content is difficult to guarantee.

[1175] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for using an emotion analysis engine to recognize the user's emotional state and reflect that emotional state in the content to be generated; means for receiving feedback from the user and forwarding the feedback to the generation AI and creator for corrections; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This enables the generation of high-quality content that reflects the user's emotional state and the automation of efficient feedback responses and correction processes.

[1176] A "user terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1177] "Creative Project" refers to creative activities such as novels, illustrations, music, etc. that users create using generative AI, as well as the content of those requests.

[1178] "Generative AI" refers to systems or algorithms that use artificial intelligence technology to automatically generate creative content such as text, images, and audio.

[1179] "Preview data" refers to a display format or data that allows the user to check the generated content in advance.

[1180] "Creators" are professionals and artists who complement generative AI in creative projects and perform human corrections and additional creative work.

[1181] An "emotion analysis engine" is a technology or system that recognizes a user's emotional state and reflects that information in content.

[1182] "Feedback" refers to the act of a user providing opinions, improvements, correction requests, etc. regarding generated content.

[1183] "Files for Delivery" means digital files created in an appropriate format for providing the final, completed creative content to users.

[1184] "Download Link" means a web link that a User clicks on to obtain a digital file delivered over a network.

[1185] "Fees" means the fees calculated as payment for commissioning a Creative Project or generated Content.

[1186] MODE FOR CARRYING OUT THE INVENTION

[1187] To implement this invention, collaboration between a user terminal, a server, an emotion analysis engine, a generation AI, and a creator is required.

[1188] System Configuration

[1189] 1. User Device:

[1190] It is a device (smartphone, tablet, PC) that allows users to input requirements for creative projects and recognize their emotional state.

[1191] Use the camera function to capture the user's emotional state.

[1192] 2. Server:

[1193] A core system that aggregates all data and transmits and processes the data to the generative AI and creators.

[1194] Preview data is generated and sent to the user's device.

[1195] Receive user feedback and forward it to the generative AI and creators.

[1196] 3. Generation AI:

[1197] AI that generates creative content such as text, images, and audio based on user requirements and emotional information.

[1198] Generate content using prompt text.

[1199] 4. Sentiment Analysis Engine:

[1200] Technology that analyzes camera data and recognizes the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.).

[1201] 5. Creator:

[1202] An expert who modifies and adds to content generated by generative AI based on user feedback.

[1203] Process Description

[1204] 1. First, the user device provides an interface where the user inputs the requirements for a creative project. For example, to request the writing of a novel, the user can input requirements such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1205] 2. Using the camera function of the user device, the emotion analysis engine recognizes the user's emotional state. For example, it analyzes that the user is in an emotional state of "excitement."

[1206] 3. The requirement data and emotion information are sent to the server, which then forwards this data to the generation AI and requests it to generate content.

[1207] 4. The generative AI generates creative content using prompts. For example, it creates an exciting adventure story based on the prompts "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon forge a friendship."

[1208] 5. The generated content is sent to the server and formatted as preview data. The preview data is sent to the user's device, where the user can check the generated content.

[1209] 6. When a user enters feedback, for example, "I would like the elf's lines to be a little more emotional," the feedback is sent to the server, where the emotion analysis engine again recognizes the user's emotional state and analyzes the emotion the feedback is based on.

[1210] 7. Based on the feedback, the generation AI or creator makes corrections. The server then sends the corrected content back to the user's device for final confirmation.

[1211] 8. Finally, when the user presses the confirmation button, the file to be delivered is generated and a download link is provided from the server.

[1212] This allows users to obtain high-quality creative content that meets their needs and desires.

[1213] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1214] Step 1:

[1215] The user terminal provides an interface for inputting the requirements of a creative project. Here, the user inputs the project's genre, characters, plot summary, etc. For example, the user might input details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." This becomes the initial input data for the system.

[1216] Step 2:

[1217] The user device uses its camera function to analyze the user's face and recognize their emotional state. The emotion analysis engine processes this data and analyzes the user's emotional state (e.g., "excited"). The input data is the user's facial image, and the output data is the identification result of the emotional state.

[1218] Step 3:

[1219] The requirement data entered by the user and the results of the emotional state identification are sent from the user terminal to the server. The server receives this data and stores it in a database. The input data is the requirement data and emotional data, and the output data is the information stored in the database.

[1220] Step 4:

[1221] The server sends the received requirement data and emotional state data to the generation AI, which generates creative content based on this data. For example, the generation AI generates a story based on the prompt statements "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon develop a friendship." The input data are the requirement data and emotional data, and the output data is the generated content.

[1222] Step 5:

[1223] The content generated by the generation AI is sent to the server, which formats it as preview data. The preview data is then sent to the user's device, where the user can view the generated content on the interface. The input data is the generated content, and the output data is the preview format data.

[1224] Step 6:

[1225] The user checks the preview data and inputs feedback as necessary. For example, they may input feedback such as "I would like the elf's lines to be a little more emotional." This feedback is sent from the user's terminal to the server. The input data is the user's feedback, and the output data is the feedback information sent to the server.

[1226] Step 7:

[1227] The server forwards the feedback information to the generation AI and creator and requests corrections. The generation AI corrects the content based on the feedback and the re-analyzed emotional information. If the creator is involved, they also make manual corrections based on the feedback. The input data are the feedback information and emotional data, and the output data is the corrected content.

[1228] Step 8:

[1229] The modified content is sent back to the server and formatted for preview. It is then sent back to the user's device, where the user can review the modifications. This process is repeated until the user is satisfied. The input data is the modified content, and the output data is the preview-formatted data again.

[1230] Step 9:

[1231] When the user finally presses the "Confirm Delivery" button, the server generates the final content in the appropriate file format and provides a download link. The user device uses this link to download the final file. The input data is a confirmation of delivery, and the output data is the download link and the delivered file.

[1232] Step 10:

[1233] Based on the size and type of the project, the server calculates the fee and displays the payment interface for the user. After the user completes the payment, the fee is distributed to the system and the creator. The input data is project information, and the output data is the fee calculation result and payment information.

[1234] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1235] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1236] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1237] [Fourth embodiment]

[1238] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1239] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1240] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1241] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1242] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1243] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1244] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1245] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1246] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1247] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1248] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1249] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1250] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1251] This invention is a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. The system includes the following main components: a user terminal, a generative AI, a server, and a creator. The program processing in this system will be described in detail.

[1252] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1253] Once the input is complete, the terminal structures this data and sends it to the server in JSON format, etc. The server stores the received data in a database and then forwards these requirements to the generative AI.

[1254] The AI ​​generates text for a novel based on the user's requirements. For example, it automatically generates episodes and dialogue scenes that fit the plot of an "adventure story in which an elf and a dragon develop a friendship." Once generation is complete, the generated text is sent back to the server.

[1255] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or request corrections after viewing the content, they can enter that information through the interface. For example, they could enter feedback such as, "I'd like the elf's lines to be a little more emotional."

[1256] User feedback is sent from the device to the server. The server forwards this feedback to the generating AI and the creator. The creator then uses the feedback to make manual corrections or use the generating AI again to create a revised version. Once the revised version is ready, it is sent back to the user's device via the server.

[1257] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[1258] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1259] This system allows users to quickly and efficiently obtain high-quality creative content, and creators to efficiently monetize their skills. The platform also smoothly matches users and creators, optimizing the entire process.

[1260] The processing flow will be explained below.

[1261] Step 1:

[1262] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[1263] Step 2:

[1264] The terminal converts the user's input into structured data such as JSON format and sends it to the server.

[1265] Step 3:

[1266] The server stores the received project details in a database.

[1267] Step 4:

[1268] The server retrieves the detailed data of the saved project from the database and sends it to the generation AI.

[1269] Step 5:

[1270] The generative AI generates creative content (e.g., the text of a novel) based on the project details it receives.

[1271] Step 6:

[1272] The generation AI sends the generated content back to the server.

[1273] Step 7:

[1274] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[1275] Step 8:

[1276] The user can preview and check the generated content on the terminal.

[1277] Step 9:

[1278] After previewing, if any corrections or improvements are needed, the user can enter feedback or correction requests from the terminal.

[1279] Step 10:

[1280] The device sends user feedback and correction requests to the server.

[1281] Step 11:

[1282] The server forwards the received feedback and correction requests to the generation AI and creators.

[1283] Step 12:

[1284] Based on the feedback, creators can either make manual corrections or use generative AI again to generate corrected content.

[1285] Step 13:

[1286] The creator and generating AI send the modified content to the server.

[1287] Step 14:

[1288] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[1289] Step 15:

[1290] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[1291] Step 16:

[1292] The server receives the delivery confirmation and generates the final file in the appropriate format (e.g. PDF, EPUB).

[1293] Step 17:

[1294] The server provides a download link for the final file to the user's device.

[1295] Step 18:

[1296] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[1297] Step 19:

[1298] The user pays the fee using the payment interface.

[1299] Step 20:

[1300] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[1301] Example 1

[1302] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1303] Current creative content generation systems face the problem of complex and time-consuming processes, including the user inputting project requirements, efficiently processing them, previewing the generated content, and making corrections based on feedback. Furthermore, matching creators with users and calculating and paying fees based on the scale of the project are also cumbersome. A system that solves these issues is needed.

[1304] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1305] In this invention, the server includes a means for receiving creative project requirements from a user terminal and transmitting them to the server as structured data; a means for the server to store the received structured data in a database and generate content by sending prompts to a generation artificial intelligence; and a means for formatting the generated content for preview and transmitting it to the user terminal. This allows users to efficiently advance creative projects and quickly review and modify the generated content. Furthermore, the entire process is optimized by automating smooth matching with creators and the calculation and payment of project-based fees.

[1306] A "user terminal" is an electronic device for inputting creative project requirements and previewing and providing feedback on generated content.

[1307] "Structured data" refers to user-entered creative project requirements that have been converted into a specific format (e.g., JSON).

[1308] A "server" is a computer system that receives, stores, processes, and forwards structured data sent from a user terminal.

[1309] A "database" is a data management system installed within a server for storing structured data sent by users and generated content.

[1310] "Generative AI" is an AI system that automatically generates content such as text, images, and audio based on user requirements.

[1311] A "prompt" is a sentence containing instructions or guidelines given to a generation AI to specify the requirements and direction of the content to be generated.

[1312] "Preview data" is data that has been formatted so that the generated content can be checked by the user.

[1313] "Feedback" refers to evaluations and requests for corrections made by users to generated content.

[1314] "Creators" are experts or artists who modify content based on user feedback.

[1315] A "download link" is a URL or hyperlink that provides access for a user to obtain the final content file.

[1316] "Fees" are fees calculated based on the size and type of project and paid by users.

[1317] The present invention relates to a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI models). The system includes the following main components: a user terminal, a generative AI, a server, and a creator.

[1318] Specifically, the user's device first provides an interface for the user to input the requirements for a creative project. For example, if the user requests a novel, they enter details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." Once the user has completed the input, the device converts this data into structured data such as JSON format and sends it to the server.

[1319] The server receives the structured data sent from the device and stores it in a database. For this purpose, a common database management system (e.g., MySQL or PostgreSQL) is used. The server then transfers the stored data to the generation AI. For example, OpenAI's GPT-4 or Google's BERT can be used as the generation AI.

[1320] The AI ​​generates the text of a novel based on the received prompt. For example, the prompt might be, "Write a fantasy novel. Please include the following content: the genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The generated text is then sent back to the server.

[1321] The server receives the generated text and formats it as preview data for the user to review. This format is used in HTML or PDF. The server then sends the formatted data to the user's device. The user can review the generated content in the interface and enter feedback or correction requests as needed. For example, the user could enter specific feedback such as "I would like the elf's lines to be a bit more emotional."

[1322] Feedback is sent from the user's device to the server, which then forwards it to the generation AI and creator. The creator then makes any necessary corrections based on the feedback, or uses the generation AI again to create a revised version. Once the revised version is complete, it is sent back to the user's device via the server.

[1323] Finally, if the user is satisfied, they press the "Confirm Delivery" button. The server confirms this and generates the final project file in the appropriate format (e.g., PDF or EPUB file). A download link for the completed file is sent to the user's device.

[1324] In addition, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator.

[1325] In this way, users can quickly and efficiently obtain high-quality creative content, and creators can efficiently monetize their skills. This system smoothly matches users and creators, optimizing the entire process.

[1326] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1327] Step 1:

[1328] The user inputs the requirements for a creative project. Specifically, they input details such as writing a novel, creating illustrations, or composing music. Examples of input include "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." The device converts this input data into structured data such as JSON format. The input data is the user's requirements, and the output data is the requirements information converted into a structured format.

[1329] Step 2:

[1330] The terminal sends structured data (specifically, in JSON format) to the server. The server receives this data and first stores it in a database. Databases such as MySQL or PostgreSQL are often used for this purpose. The input data is structured data, and the output data is the data stored in the database.

[1331] Step 3:

[1332] The server retrieves the data stored in the database and transfers it to the generation AI as a prompt. An example of a prompt is, "Please write a fantasy novel. Please include the following content. The genre is fantasy, the characters are elves and dragons, and the plot is an adventure story in which the elves and dragons develop a friendship." The input data is the prompt, and the output data is the instructions transferred to the generation AI.

[1333] Step 4:

[1334] The generative AI generates text data based on prompts sent from the server. Specifically, it automatically generates story episodes and dialogue scenes that follow a plot, such as "an adventure story in which an elf and a dragon develop a friendship." The input data is the prompt, and the output data is the generated text.

[1335] Step 5:

[1336] The server receives the text generated by the generation AI and formats it as preview data. The format is HTML or PDF. The input data is the generated text, and the output data is data formatted for preview.

[1337] Step 6:

[1338] The server sends the preview data to the user's device. The device displays this data to the user, who then confirms it. The input data is the preview data, and the output data is the displayed content.

[1339] Step 7:

[1340] When a user requests feedback or corrections on the displayed content, the user inputs the details into the device. For example, the user might input feedback such as "I would like the elf's lines to be a little more emotional." The input data is the user's feedback, and the output data is the feedback information as structured data.

[1341] Step 8:

[1342] The device sends the feedback information as structured data to the server, which then forwards the feedback to the generation AI and creator. The input data is the structured feedback information, and the output data is instructions for the generation AI and creator.

[1343] Step 9:

[1344] The creator makes the necessary revisions based on the feedback, or uses generative AI again to create a revised version. The input data is the feedback information, and the output data is the revised content.

[1345] Step 10:

[1346] The server sends the revised content back to the user's device, where the user can view it. The input data is the revised content, and the output data is the displayed revisions.

[1347] Step 11:

[1348] When the user is finally satisfied, he / she presses the "Confirm Delivery" button. The server confirms this and generates the final project files in the appropriate format (e.g. PDF or EPUB files). The input data is the confirmation delivery information, and the output data is the final content file.

[1349] Step 12:

[1350] The server sends a download link for the final content file to the user terminal. The input data is the generated final file, and the output data is the sent download link.

[1351] Step 13:

[1352] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. After the user completes the payment, the server receives the fee and distributes the remaining reward to the creator. The input data is project information, and the output data is the fee calculation result and the payment processing result.

[1353] (Application example 1)

[1354] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1355] In today's world, there is a growing demand for users to efficiently generate and edit creative content in a short amount of time. However, existing systems lack the functionality to allow users to input detailed requirements and generate and view content in real time based on those requirements. Furthermore, it is difficult to provide immediate feedback or make corrections to the generated content, making it difficult to provide content smoothly. Furthermore, there is a lack of a way for users to easily input project details and view the generated content using a smartphone or head-mounted display. This creates a demand for the rapid generation and delivery of high-quality creative content.

[1356] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1357] In this invention, the server includes means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content, means for transmitting the generated content to the user terminal as preview data, means for searching for and displaying creators suitable for the user, means for receiving feedback from the user and forwarding the feedback to the generation AI and creators for revisions, means for generating files for delivering final content to the user terminal and providing download links, means for calculating fees based on the size and type of the project and processing payments, and means for the user to input project details using a smartphone or head-mounted display and generate and view creative content in real time, thereby enabling users to intuitively input project details and quickly generate and modify high-quality creative content.

[1358] "User terminal" means a device through which a user accesses the system to enter details of a creative project and view generated content.

[1359] A "creative project" is a creative task or content creation requirement requested by a user, including writing a novel, creating an illustration, composing music, etc.

[1360] "Generative AI" refers to algorithms or models that automatically generate creative content such as text, images, and audio based on user requirements.

[1361] The "means for generating content" is the part of the system that executes the process in which the generative artificial intelligence generates creative content based on requirements entered by the user.

[1362] The "means for transmitting content as preview data" is a part of the system that executes a process for transmitting the generated content to the user terminal in a format that can be confirmed by the user.

[1363] "Creators" are professionals who manually edit and revise content based on the content of the creative project requested by the user, with additional corrections and feedback.

[1364] "Feedback" refers to user-provided evaluations and requests for corrections to generated content.

[1365] The "means for generating files and providing download links" refers to the part of the system that executes the process of creating files in a format that allows users to download the final completed content and providing the links.

[1366] The "means for calculating fees and processing payments" is the part of the system that performs the process of calculating the appropriate fee based on the size and type of project and processing payments from users.

[1367] "Smartphones and head-mounted displays" are portable electronic devices and devices that allow users to access the system, enter project details, and view generated content.

[1368] "Means for generating and viewing creative content in real time" means the part of the system that runs a process that allows a user to input project details and then instantly view the content that is generated in a short period of time.

[1369] This invention is a system that allows users to request creative projects and generates and provides content using generative artificial intelligence (generative AI).The system's main components are a user terminal, a generative AI, a server, and a creator.

[1370] Hardware and software used

[1371] Hardware: Smartphones, head-mounted displays, servers, and clusters running generative AI

[1372] Software: Python, Flask (web framework), GPT-4 (generative AI model)

[1373] Implementation details

[1374] User terminal

[1375] Using a smartphone or head-mounted display, users input details about their creative project, which are specified as follows:

[1376] Genre: Specify the type of novel, illustration, etc.

[1377] Characters: For example, elves and dragons

[1378] Plot Summary: A brief story summary

[1379] For example, the prompt the user enters is:

[1380] Prompt Sentence Examples

[1381] Genre: Fantasy

[1382] Characters: Elves, Dragons

[1383] Plot summary: An adventure story about the friendship between an elf and a dragon

[1384] server

[1385] 1. Data Receipt and Storage:

[1386] The server receives project details sent from the user device as structured data, such as JSON, and stores this data in a database.

[1387] 2. Data transfer to the generative AI:

[1388] The server then forwards the received data to the generative AI model.

[1389] 3. Content generation by generative AI:

[1390] Generative AI models (e.g., GPT-4) generate creative content (text, images, audio, etc.) based on user requirements.

[1391] 4. Content Preview:

[1392] The generated content is formatted as preview data by the server and transmitted to the user terminal.

[1393] User

[1394] Check the content:

[1395] The user can view the generated content on a smartphone or head-mounted display, where they can provide feedback.

[1396] Providing feedback:

[1397] The feedback includes specific requests for revision, such as "I wish the elves' lines were a bit more emotional."

[1398] Servers, Generative AI and Creators

[1399] The server receives feedback from users and forwards it to the generation AI and creator. The generation AI generates a revised version based on the feedback, and the creator manually edits it if necessary. The revised version is then sent back to the user's device via the server.

[1400] Content delivery and fee calculation

[1401] Generate the final file:

[1402] When the user is finally satisfied, they press the delivery confirmation button. The server generates the final content in PDF or EPUB format and provides a download link.

[1403] Fee calculation and payment:

[1404] Finally, the server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1405] The system allows users to intuitively input project details and quickly generate and modify high-quality creative content, and also allows users to generate and view content in real time using a smartphone or head-mounted display.

[1406] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1407] Step 1:

[1408] Entering project details on the user's device

[1409] Using a smartphone or head-mounted display, a user inputs project details such as genre, characters, plot summary, etc. The details entered are sent to the server as structured data in JSON format, etc. The input for this step is the user's creative requirements, and the output is structured data.

[1410] Step 2:

[1411] Data reception and storage by the server

[1412] The server receives the structured data sent from the user's device. The received data is stored in a database. This data contains the user's project details and is ready to be transferred to the generation AI. The input of this step is the structured data and the output is the data stored in the database.

[1413] Step 3:

[1414] Data transfer from the server to the generation AI

[1415] The server transfers the stored structured data to the Generative AI, which then starts the process of generating creative content based on this data. The input for this step is the project details data in the database, and the output is the input data for the Generative AI.

[1416] Step 4:

[1417] Content generation by generative AI

[1418] The Generative AI generates creative content such as text, images, and audio based on the project details received from the server. The generated content is temporarily sent back to the server. The input of this step is the project details data to the Generative AI, and the output is the generated content.

[1419] Step 5:

[1420] Server-generated content formatting

[1421] The server formats the content returned by the generation AI and prepares it as preview data. This preview data is sent to the user's device. The input of this step is the generated content, and the output is the preview data.

[1422] Step 6:

[1423] Check content and provide feedback on user devices

[1424] The user checks the preview data on the device and provides feedback if necessary. The feedback is then sent back to the server. The input to this step is the preview data, and the output is the feedback data.

[1425] Step 7:

[1426] Server Receipt and Forwarding of Feedback

[1427] The server receives the feedback sent by the user and forwards it to the generation AI or creator. Based on this feedback, the content is regenerated or modified. The input of this step is the feedback data, and the output is instructions for modification to the generation AI or creator.

[1428] Step 8:

[1429] Generative AI or creator-generated content modification

[1430] The generative AI or creator modifies the content based on user feedback. The modified content is then sent back to the server. The input of this step is the feedback data, and the output is the modified content.

[1431] Step 9:

[1432] The server generates the final file and provides a download link

[1433] The server generates the final content that the user is satisfied with in a format such as PDF or EPUB and provides a download link. The input of this step is the modified final content, and the output is the download link.

[1434] Step 10:

[1435] Fee calculation and payment processing by the server

[1436] The server calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator. The input of this step is the project details and payment information, and the output is the fee calculation result and a payment completion notification.

[1437] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1438] This invention combines an emotion engine with a system in which users request creative projects and utilize generative artificial intelligence (AI) to generate and provide content. This system includes the following main means: a user terminal, generative AI, a server, a creator, and an emotion engine. The program processing in this system will be specifically described.

[1439] First, the user terminal provides an interface for the user to input the requirements of a creative project. The user inputs project details, such as writing a novel, creating illustrations, or composing music. For example, if a user requests a novel, they might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1440] The input requirements are analyzed by the emotion engine to recognize the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.). This information is sent to the server along with the requirements data. The server stores the received data in a database and then forwards these requirements and emotional information to the generative AI.

[1441] The generative AI generates creative content based on the user's requirements and emotional information. For example, it automatically generates episodes and dialogue scenes that fit the plot of "an adventure story in which an elf and a dragon forge a friendship," but also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[1442] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might enter feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on their feedback and reflect it in the corrections.

[1443] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can make corrections manually based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is complete, it is sent back to the user's device via the server.

[1444] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[1445] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1446] This system allows users to obtain high-quality creative content that reflects their emotions, and creators can efficiently monetize their skills. The introduction of the emotion engine further deepens the user experience, and the generated content will better match user expectations.

[1447] The processing flow will be explained below.

[1448] Step 1:

[1449] The user accesses the platform on their device and enters project details (e.g., novel genre, plot summary, characters, etc.) into the creative project request form.

[1450] Step 2:

[1451] The terminal activates an emotion engine to analyze the user's emotions (e.g., excitement, anticipation, anxiety) based on the input form.

[1452] Step 3:

[1453] The emotion engine recognizes the user's emotional state from the input content and user operation behavior, and sends this information together with requirement data to the server as structured data.

[1454] Step 4:

[1455] The server stores the received project details and emotion information in a database.

[1456] Step 5:

[1457] The server retrieves the detailed project data and emotion information stored in the database and sends it to the generation AI.

[1458] Step 6:

[1459] The generative AI generates creative content (e.g., the text of a novel) based on the user's requirements and emotional information. In this case, the content reflects the user's emotions and incorporates particularly stimulating scenes and dramatic developments.

[1460] Step 7:

[1461] The generation AI sends the generated content back to the server.

[1462] Step 8:

[1463] The server converts the generated content into a format for preview and transmits it to the user's terminal.

[1464] Step 9:

[1465] The user can preview and check the generated content on the terminal.

[1466] Step 10:

[1467] After previewing, if the user needs to make corrections or improvements, they can enter feedback or correction requests from their device. At this time, the emotion engine is activated again when the user enters their feedback, and recognizes the emotional state of the user at the time of feedback.

[1468] Step 11:

[1469] The emotion engine analyzes the user's emotional state based on the feedback and sends this information along with the feedback content to the server.

[1470] Step 12:

[1471] The server forwards the received feedback and emotional state to the generation AI and creator.

[1472] Step 13:

[1473] Based on the feedback, creators can either manually make corrections or use the generative AI again to generate corrected content. The emotion engine's analysis information determines the priority of the corrections.

[1474] Step 14:

[1475] The creator and generating AI send the modified content to the server.

[1476] Step 15:

[1477] The server converts the corrected content back into a format for preview and sends it to the user's terminal.

[1478] Step 16:

[1479] The user makes a final confirmation and presses a button on the terminal to confirm delivery.

[1480] Step 17:

[1481] The server receives the delivery confirmation and generates the final project files in the appropriate format (e.g. PDF, EPUB).

[1482] Step 18:

[1483] The server provides a download link for the final file to the user's device.

[1484] Step 19:

[1485] The server calculates the fee based on the size and type of the project and displays a payment interface on the user's terminal.

[1486] Step 20:

[1487] The user pays the fee using the payment interface.

[1488] Step 20:

[1489] The server verifies the payment, collects the commission, and distributes any remaining rewards to the creators.

[1490] Example 2

[1491] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1492] Conventional creative project support systems face challenges in generating content that reflects the user's emotional state. Furthermore, the process of effectively incorporating user feedback into generated content and making optimal revisions is complex and time-consuming. Furthermore, efficient management of fee calculations and payment processing based on the scale and type of project is also required.

[1493] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for receiving feedback from the user, analyzing it using an emotion engine, and identifying the user's emotional state; means for transferring the identified emotional information to the generation AI and creator for correction; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This makes it possible to quickly and efficiently generate and deliver high-quality creative content that reflects the user's emotions.

[1494] A "user terminal" is an electronic device that a user uses to input requirements for a creative project and send feedback.

[1495] "Generative AI" refers to algorithms or systems that automatically generate creative content such as text, images, and audio based on requirements received from users.

[1496] "Content" refers to the results of a creative project, such as a novel, illustration, or music.

[1497] An "emotion engine" is an algorithm or system that analyzes and identifies a user's emotional state based on their input and feedback.

[1498] The "server" is a central management system that receives data sent from user terminals, forwards it to the generation AI, generates content, processes feedback, calculates fees, etc.

[1499] "Feedback" refers to the user's evaluation of the generated content and requests for corrections.

[1500] "Creators" are professionals who manually edit content generated by generative AI or provide additional creative work.

[1501] A "file" is digital data of creative content that is ultimately delivered to a user.

[1502] A "download link" is a URL that allows a user to obtain the final file via the Internet.

[1503] "Project size and type" refers to project characteristics determined by the content and workload of the creative project, client requirements, etc.

[1504] The present invention is a system that uses a user terminal, a generative AI model, a server, a creator, and an emotion engine, in which a user requests a creative project and the emotion engine is used to generate and provide content. Specific embodiments are described below.

[1505] First, the user enters the requirements for the creative project from their own device. The input interface is a web form or a dedicated application. The user enters details of the project, such as writing a novel, creating illustrations, or composing music. For example, if requesting a novel, the user might enter "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure story."

[1506] The device analyzes the input requirement information using an emotion engine. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's input and sends that information along with the requirement data to the server. The server stores the received data in a database and then forwards these requirements and emotional information to the generation AI.

[1507] The generative AI model generates creative content based on the user's requirements and emotional information. For example, it generates episodes and dialogue scenes based on the plot of "an adventure story in which an elf and a dragon forge a friendship." It also incorporates the user's emotion of "excitement" to create particularly exciting scenes and dramatic developments. Once generation is complete, the generated text is sent back to the server.

[1508] The server receives the generated text and formats it as preview data. This preview data is sent to the user's device, where the user can view the generated content on the interface. If the user wants to provide feedback or make corrections after reviewing the content, they can enter their feedback through the interface. For example, they might write feedback such as, "I'd like the elf's lines to be a little more emotional." At this time, the emotion engine will again recognize the user's emotional state based on the user's feedback and reflect it in the corrections.

[1509] User feedback is sent from the device to the server. The server forwards this feedback to the generation AI and creator. The creator can manually make corrections based on the feedback, or use the generation AI to create a revised version. The emotion engine determines the priority of the corrections and reflects them in the output of the generation AI and the creator's corrections. Once the revised version is created, it is sent back to the user's device via the server.

[1510] When the user is finally satisfied, they click a confirmation button. The server then confirms the decision and generates the final project file in the appropriate format, such as a PDF or EPUB file for a novel. The server then provides a download link for the final file, which is then sent to the user's device.

[1511] The server then calculates the fee based on the size and type of the project and displays the payment interface to the user. Once the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1512] Examples of prompts include:

[1513] 1. "Genre: Fantasy, Characters: Elves, Dragons, Plot Summary: An adventure story. The main character, an elf, goes on a journey to find a magical sword."

[1514] 2. "Feedback: I'd like the elves' lines to be a bit more emotional, especially in the scene where they meet the dragon."

[1515] 3. "Final confirmation: I would like the final file to be generated in PDF format."

[1516] Based on these prompts, the system can generate content according to the user's request and make any necessary modifications.

[1517] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1518] Step 1:

[1519] Users use their own devices to input the requirements for their creative projects. Through the interface, users input detailed information such as the project's genre, characters, and plot summary. For example, for a novel, users might input "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1520] Input: Project requirement information that the user enters into the interface.

[1521] Output: The requirements information is saved to the terminal and is ready for the next processing step.

[1522] Specific behavior: A user enters requirements into a web form and presses the submit button.

[1523] Step 2:

[1524] The terminal sends the requirement information entered by the user to the emotion engine for analysis. The emotion engine identifies the emotional state (e.g., "excitement," "expectation," "anxiety," etc.) from the user's requirements.

[1525] Input: The requirement information entered by the user into the terminal.

[1526] Output: Information about the emotional state identified by the emotion engine.

[1527] Specific operation: The device sends requirement information to the emotion engine, which then performs emotion analysis.

[1528] Step 3:

[1529] The device transmits the analyzed emotional state together with the requirement data to the server, which stores the received data in a database.

[1530] Input: Sentiment analysis results from the emotion engine and user requirement information.

[1531] Output: Requirement data and sentiment information stored in the server database.

[1532] Specific operation: The device sends the emotion analysis results and requirement information to the server, which then stores them in a database.

[1533] Step 4:

[1534] The server transfers the saved requirement data and emotion information to the generation AI, which then generates creative content based on this data.

[1535] Input: Requirement data and sentiment information stored on the server.

[1536] Output: Creative content generated by generative AI.

[1537] How it works: The server transfers data to the generation AI, which then generates text based on the plot and characters.

[1538] Step 5:

[1539] The server receives the content generated by the generation AI, formats it for preview, and then sends the preview data to the user's device.

[1540] Input: Creative content received from the generative AI.

[1541] Output: Data formatted for preview.

[1542] Specific operation: The server converts the text data into a preview format such as HTML and sends it to the user's device.

[1543] Step 6:

[1544] The user can use the device to check the generated content on the preview screen and input any necessary corrections or feedback, such as "I would like the elf's lines to be a little more expressive."

[1545] Input: Creative content formatted for preview.

[1546] Output: User feedback.

[1547] Specific operation: The user checks the preview screen, enters correction requests in the feedback form, and submits it.

[1548] Step 7:

[1549] The server sends the feedback received from the user to the emotion engine for further analysis, and forwards the analysis results and feedback to the generation AI and creator.

[1550] Input: Feedback received from users.

[1551] Output: Sentiment-analyzed feedback and correction information forwarded to the generative AI and creators.

[1552] Specific operation: The server sends feedback to the emotion engine and forwards the analysis results to the generation AI and creator.

[1553] Step 8:

[1554] The generative AI and creators then automatically or manually revise the content based on the feedback and emotional information sent from the server, and once the revised version is complete, it is sent back to the server.

[1555] Input: Sentiment-analyzed feedback and correction requests.

[1556] Output: The modified creative content.

[1557] What it does: The generative AI regenerates the text based on the feedback, and the creator makes corrections as needed.

[1558] Step 9:

[1559] The server receives the modified content, reformats it, and transmits it to the user's terminal.

[1560] Input: The modified creative content.

[1561] Output: The formatted and revised content.

[1562] What happens: The server formats the revised text for preview and sends it to the user's device.

[1563] Step 10:

[1564] The user checks the revised content again on the terminal, and if satisfied, presses the delivery confirmation button, which sends a signal to the server.

[1565] Input: The revised content.

[1566] Output: Delivery confirmation signal.

[1567] Specific operation: The user clicks the "Confirm Delivery" button, and a signal is sent to the server.

[1568] Step 11:

[1569] The server receives the delivery confirmation signal, generates the final file in the appropriate format (e.g., PDF or EPUB), and provides a download link to the user's device.

[1570] Input: Delivery confirmation signal.

[1571] Output: Download link for the final file.

[1572] Specific operation: The server converts the final file to PDF / EPUB and sends the download URL to the user.

[1573] Step 12:

[1574] The server calculates the fee based on the size and type of the project, and displays the payment interface on the user's device. After the user completes the payment, the fee is received and the remaining reward is distributed to the creator.

[1575] Input: Project information and delivery confirmation signal.

[1576] Output: Payment interface and payment to creators.

[1577] What it does: The server processes the payment using a payment system such as Stripe or PayPal and distributes the reward to the creator.

[1578] (Application example 2)

[1579] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1580] Current creative content generation systems using generative AI have difficulty generating content that reflects the user's emotional state. Furthermore, they lack optimal feedback responses to individual users and automated correction processes. As a result, user satisfaction declines and the quality of the final content is difficult to guarantee.

[1581] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for receiving creative project requirements from a user terminal and transmitting them to a generation AI to generate content; means for transmitting the generated content to the user terminal as preview data; means for using an emotion analysis engine to recognize the user's emotional state and reflect that emotional state in the content to be generated; means for receiving feedback from the user and forwarding the feedback to the generation AI and creator for corrections; means for generating a file for delivering the final content to the user terminal and providing a download link; and means for calculating a fee based on the scale and type of the project and processing payments. This enables the generation of high-quality content that reflects the user's emotional state and the automation of efficient feedback responses and correction processes.

[1582] A "user terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1583] "Creative Project" refers to creative activities such as novels, illustrations, music, etc. that users create using generative AI, as well as the content of those requests.

[1584] "Generative AI" refers to systems or algorithms that use artificial intelligence technology to automatically generate creative content such as text, images, and audio.

[1585] "Preview data" refers to a display format or data that allows the user to check the generated content in advance.

[1586] "Creators" are professionals and artists who complement generative AI in creative projects and perform human corrections and additional creative work.

[1587] An "emotion analysis engine" is a technology or system that recognizes a user's emotional state and reflects that information in content.

[1588] "Feedback" refers to the act of a user providing opinions, improvements, correction requests, etc. regarding generated content.

[1589] "Files for Delivery" means digital files created in an appropriate format for providing the final, completed creative content to users.

[1590] "Download Link" means a web link that a User clicks on to obtain a digital file delivered over a network.

[1591] "Fees" means the fees calculated as payment for commissioning a Creative Project or generated Content.

[1592] MODE FOR CARRYING OUT THE INVENTION

[1593] To implement this invention, collaboration between a user terminal, a server, an emotion analysis engine, a generation AI, and a creator is required.

[1594] System Configuration

[1595] 1. User Device:

[1596] It is a device (smartphone, tablet, PC) that allows users to input requirements for creative projects and recognize their emotional state.

[1597] Use the camera function to capture the user's emotional state.

[1598] 2. Server:

[1599] A core system that aggregates all data and transmits and processes the data to the generative AI and creators.

[1600] Preview data is generated and sent to the user's device.

[1601] Receive user feedback and forward it to the generative AI and creators.

[1602] 3. Generation AI:

[1603] AI that generates creative content such as text, images, and audio based on user requirements and emotional information.

[1604] Generate content using prompt text.

[1605] 4. Sentiment Analysis Engine:

[1606] Technology that analyzes camera data and recognizes the user's emotional state (e.g., "excitement," "expectation," "anxiety," etc.).

[1607] 5. Creator:

[1608] An expert who modifies and adds to content generated by generative AI based on user feedback.

[1609] Process Description

[1610] 1. First, the user device provides an interface where the user inputs the requirements for a creative project. For example, to request the writing of a novel, the user can input requirements such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story."

[1611] 2. Using the camera function of the user device, the emotion analysis engine recognizes the user's emotional state. For example, it analyzes that the user is in an emotional state of "excitement."

[1612] 3. The requirement data and emotion information are sent to the server, which then forwards this data to the generation AI and requests it to generate content.

[1613] 4. The generative AI generates creative content using prompts. For example, it creates an exciting adventure story based on the prompts "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon forge a friendship."

[1614] 5. The generated content is sent to the server and formatted as preview data. The preview data is sent to the user's device, where the user can check the generated content.

[1615] 6. When a user enters feedback, for example, "I would like the elf's lines to be a little more emotional," the feedback is sent to the server, where the emotion analysis engine again recognizes the user's emotional state and analyzes the emotion the feedback is based on.

[1616] 7. Based on the feedback, the generation AI or creator makes corrections. The server then sends the corrected content back to the user's device for final confirmation.

[1617] 8. Finally, when the user presses the confirmation button, the file to be delivered is generated and a download link is provided from the server.

[1618] This allows users to obtain high-quality creative content that meets their needs and desires.

[1619] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1620] Step 1:

[1621] The user terminal provides an interface for inputting the requirements of a creative project. Here, the user inputs the project's genre, characters, plot summary, etc. For example, the user might input details such as "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot Summary: Adventure Story." This becomes the initial input data for the system.

[1622] Step 2:

[1623] The user device uses its camera function to analyze the user's face and recognize their emotional state. The emotion analysis engine processes this data and analyzes the user's emotional state (e.g., "excited"). The input data is the user's facial image, and the output data is the identification result of the emotional state.

[1624] Step 3:

[1625] The requirement data entered by the user and the results of the emotional state identification are sent from the user terminal to the server. The server receives this data and stores it in a database. The input data is the requirement data and emotional data, and the output data is the information stored in the database.

[1626] Step 4:

[1627] The server sends the received requirement data and emotional state data to the generation AI, which generates creative content based on this data. For example, the generation AI generates a story based on the prompt statements "Emotional state: Excitement," "Genre: Fantasy," "Characters: Elves, Dragons," and "Plot summary: An adventure story in which an elf and a dragon develop a friendship." The input data are the requirement data and emotional data, and the output data is the generated content.

[1628] Step 5:

[1629] The content generated by the generation AI is sent to the server, which formats it as preview data. The preview data is then sent to the user's device, where the user can view the generated content on the interface. The input data is the generated content, and the output data is the preview format data.

[1630] Step 6:

[1631] The user checks the preview data and inputs feedback as necessary. For example, they may input feedback such as "I would like the elf's lines to be a little more emotional." This feedback is sent from the user's terminal to the server. The input data is the user's feedback, and the output data is the feedback information sent to the server.

[1632] Step 7:

[1633] The server forwards the feedback information to the generation AI and creator and requests corrections. The generation AI corrects the content based on the feedback and the re-analyzed emotional information. If the creator is involved, they also make manual corrections based on the feedback. The input data are the feedback information and emotional data, and the output data is the corrected content.

[1634] Step 8:

[1635] The modified content is sent back to the server and formatted for preview. It is then sent back to the user's device, where the user can review the modifications. This process is repeated until the user is satisfied. The input data is the modified content, and the output data is the preview-formatted data again.

[1636] Step 9:

[1637] When the user finally presses the "Confirm Delivery" button, the server generates the final content in the appropriate file format and provides a download link. The user device uses this link to download the final file. The input data is a confirmation of delivery, and the output data is the download link and the delivered file.

[1638] Step 10:

[1639] Based on the size and type of the project, the server calculates the fee and displays the payment interface for the user. After the user completes the payment, the fee is distributed to the system and the creator. The input data is project information, and the output data is the fee calculation result and payment information.

[1640] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1641] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1642] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1643] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1644] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1645] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1646] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1647] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1648] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1649] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1650] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1651] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1652] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1653] 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.

[1654] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1655] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1656] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1657] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1658] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1659] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1660] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1661] The following is further disclosed regarding the above embodiment.

[1662] (Claim 1)

[1663] A means for receiving creative project requirements from a user terminal and transmitting them to a generating artificial intelligence to generate content;

[1664] means for transmitting the generated content to a user terminal as preview data;

[1665] A means to search for and display creators that suit the user,

[1666] a means for receiving feedback from users and forwarding the feedback to the generative artificial intelligence and creators for corrections;

[1667] A means for generating a file for delivering the final content to a user terminal and providing a download link;

[1668] A means to calculate fees and process payments based on the size and type of project;

[1669] A system including:

[1670] (Claim 2)

[1671] 10. The system of claim 1, including generative artificial intelligence that generates text, images, and audio based on creative project requirements.

[1672] (Claim 3)

[1673] The system of claim 1, further comprising means for the generating artificial intelligence and creator to make corrections based on feedback from the user terminal.

[1674] "Example 1"

[1675] (Claim 1)

[1676] means for receiving creative project requirements from a user terminal and transmitting the requirements to a server as structured data;

[1677] A means for storing the structured data received by the server in a database and sending a prompt sentence to a generation artificial intelligence to generate content; a means for formatting the generated content for preview and sending it to a user terminal;

[1678] A means for searching for and displaying creators that match the user;

[1679] A means for receiving feedback from users, transmitting it to a server, and transferring the feedback to the generating AI and the creator for correction; a means for generating a file for delivering the final content to the user terminal and providing a download link;

[1680] A means to calculate fees and process payments based on the size and type of project;

[1681] A system including:

[1682] (Claim 2)

[1683] 10. The system of claim 1, including generative artificial intelligence that generates text, images, and audio based on creative project requirements.

[1684] (Claim 3)

[1685] 10. The system of claim 1, further comprising means for the generating artificial intelligence and the creator to make corrections based on feedback from the user terminal.

[1686] "Application Example 1"

[1687] (Claim 1)

[1688] A means for receiving creative project requirements from a user terminal and transmitting them to a generating artificial intelligence to generate content;

[1689] means for transmitting the generated content to a user terminal as preview data;

[1690] A means to search for and display creators that suit the user,

[1691] a means for receiving feedback from users and forwarding the feedback to the generative artificial intelligence and creators for corrections;

[1692] A means for generating a file for delivering the final content to a user terminal and providing a download link;

[1693] A means to calculate fees and process payments based on the size and type of project;

[1694] A means for users to input project details using a smartphone or head-mounted display, and generate and view creative content in real time.

[1695] A system including:

[1696] (Claim 2)

[1697] 10. The system of claim 1, including generative artificial intelligence that generates text, images, and audio based on creative project requirements.

[1698] (Claim 3)

[1699] The system of claim 1, further comprising means for the generating artificial intelligence and creator to make corrections based on feedback from the user terminal.

[1700] "Example 2: Combining Emotion Engines"

[1701] (Claim 1)

[1702] A means for receiving creative project requirements from a user terminal and transmitting them to a generating artificial intelligence to generate content;

[1703] means for transmitting the generated content to a user terminal as preview data;

[1704] means for receiving feedback from the user and analyzing it using an emotion engine to identify the user's emotional state;

[1705] A means for transferring the identified emotional information to the generating artificial intelligence and creator for correction;

[1706] A means for generating a file for delivering the final content to a user terminal and providing a download link;

[1707] A means to calculate fees and process payments based on the size and type of project;

[1708] A system including:

[1709] (Claim 2)

[1710] 10. The system of claim 1, including generative artificial intelligence that generates text, images, and audio based on creative project requirements.

[1711] (Claim 3)

[1712] The system according to claim 1, further comprising a means for the generating artificial intelligence and creator to make corrections based on feedback from the user terminal and taking into account emotional information analyzed using the emotion engine.

[1713] "Application example 2 when combining emotion engines"

[1714] (Claim 1)

[1715] A means for receiving creative project requirements from a user terminal and transmitting them to a generating artificial intelligence to generate content;

[1716] means for transmitting the generated content to a user terminal as preview data;

[1717] A means to search for and display creators that suit the user,

[1718] a means for using an emotion analysis engine to recognize the emotional state of a user and reflect that emotional state in the content being generated;

[1719] a means for receiving feedback from users and forwarding the feedback to the generative artificial intelligence and creators for corrections;

[1720] A means for generating a file for delivering the final content to a user terminal and providing a download link;

[1721] A means to calculate fees and process payments based on the size and type of project;

[1722] A system including:

[1723] (Claim 2)

[1724] 10. The system of claim 1, including generative artificial intelligence that generates text, images, and audio based on creative project requirements.

[1725] (Claim 3)

[1726] The system of claim 1, further comprising means for the generating artificial intelligence and creator to make corrections based on feedback from the user terminal. [Explanation of symbols]

[1727] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving creative project requirements from a user terminal and transmitting them to a generating artificial intelligence to generate content; means for transmitting the generated content to a user terminal as preview data; A means to search for and display creators that suit the user, a means for receiving feedback from users and forwarding the feedback to the generative artificial intelligence and creators for corrections; A means for generating a file for delivering the final content to a user terminal and providing a download link; A means to calculate fees and process payments based on the size and type of project; A system including:

2. 10. The system of claim 1, further comprising generative artificial intelligence for generating text, images, and audio based on creative project requirements.

3. The system according to claim 1, further comprising means for the generating artificial intelligence and the creator to make corrections based on feedback from the user terminal.

Images