system

Abstract

Provide a system. [Solution] a means for a user to input a subject or request; means for receiving an input subject or request and transmitting it to a server; a means for the server to generate ideas and concepts based on a theme or requirement using a generative artificial intelligence model; a means for displaying the generated ideas and concepts to a user; A system including:

Description

[Technical Field]

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

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

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

[0004] In creative activities, it is important to generate new ideas, solve complex problems, and receive external feedback and criticism. However, these processes often require time and effort, and are difficult to carry out efficiently. Furthermore, when working alone, it is difficult to gain new perspectives or inspiration, and there are limited means to receive objective feedback on one's work and ideas. This can lead to a decline in the quality and efficiency of creative activities. [Means for solving the problem]

[0005] In order to solve the above problems, the present invention provides a system for supporting creative activities using a generative artificial intelligence model. The present invention includes the following means.

[0006] 1. A means by which a user inputs a topic or request.

[0007] 2. A means of receiving input topics or requests and sending them to the server.

[0008] 3. A means by which the server uses a generative artificial intelligence model to generate ideas and concepts based on a theme or requirement.

[0009] 4. A means of displaying generated ideas and concepts to the user.

[0010] It further includes a means for a user to input details of a problem they wish to solve, and for the generative artificial intelligence model to generate solutions or insights to that problem and present them to the user.

[0011] It also includes a means for a user to input their own work or idea, and for the generative artificial intelligence model to generate specific feedback and advice for improvement on that work or idea and present it to the user.

[0012] This allows users to efficiently gain new ideas and perspectives, find solutions to complex problems, and receive objective feedback on their work and ideas, ultimately improving the quality and efficiency of their creative activities.

[0013] "User" means an individual or entity that uses the system to generate ideas, solve problems, or obtain feedback.

[0014] A "theme" is a particular topic or subject that a user presents to the system.

[0015] A "request" is an instruction or request from a user for some information or service from the system.

[0016] "Input" refers to the act of a user providing data or information to a system using a keyboard, mouse, voice input, or other means.

[0017] A "terminal" is a device, such as a computer, smartphone, or tablet, that a user uses to access the system.

[0018] A "server" is a computer or group of computers that performs the central processing of the system and is responsible for executing the generative AI model.

[0019] A "generative AI model" is an algorithm or program that uses generative artificial intelligence to generate new ideas, solutions, feedback, etc. based on user input.

[0020] "Ideas" are new thoughts and concepts created by generative AI models based on user themes and requirements.

[0021] A "concept" is an abstract concept or plan that is generated based on a theme or requirement presented by a user.

[0022] A "problem" is a specific challenge or difficulty that a user wants solved.

[0023] "Insights" refer to new perspectives and understandings provided by generative AI models, analyses and opinions that help solve problems.

[0024] A "solution" is a method or approach to a specific problem provided by a generative AI model.

[0025] "Works" are creative works such as poems, novels, paintings, and designs created by users.

[0026] "Feedback" refers to opinions and comments such as evaluations, impressions, and improvement suggestions that a generative AI model provides to a user's work or idea.

[0027] "Improvement advice" is specific instructions or suggestions that a generative AI model provides to improve a user's work or idea. [Brief explanation of the drawings]

[0028] [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

[0029] 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.

[0030] First, the terms used in the following description will be explained.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] [First embodiment]

[0037] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0038] 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.

[0039] 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).

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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.

[0044] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0045] 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.

[0046] 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.

[0047] 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.

[0048] 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."

[0049] The present invention is a system that supports creative activities using a generative artificial intelligence model. Specifically, it has functions that allow users to input a theme or request and generate new ideas and concepts based on it, provide solutions and insights to complex problems, and provide feedback and advice on improvements to works and ideas.

[0050] System Configuration

[0051] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[0052] Program processing flow

[0053] 1. Idea generation

[0054] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[0055] Terminal: Receives input topics and requests and generates requests to send them to the server.

[0056] Server: The server receives requests and passes themes and requirements to the generative AI model.

[0057] Generative AI model: Generates new ideas and concepts based on themes and requirements, such as "a story about a rebellion on a future Mars colony."

[0058] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[0059] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[0060] 2. Creative problem solving

[0061] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improving them?"

[0062] Terminal: Receives the entered problem details and generates a request to send them to the server.

[0063] Server: Receives the request and passes the problem details to the generative AI model.

[0064] Generative AI models generate new insights and perspectives on a problem, such as solutions like adding visually appealing infographics or inserting a story to appeal to emotions.

[0065] Server: Generates the generated solutions and insights as responses and sends them to the device.

[0066] Terminal: Receives the response and displays it to the user, who can then review and try out new insights and solutions.

[0067] 3. Providing criticism and feedback

[0068] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[0069] Terminal: Receives input works or ideas and generates requests to send them to the server.

[0070] Server: Receives requests and passes creations and ideas to the generative AI model.

[0071] Generative AI model: Generates specific feedback and advice for improvement on a work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0072] Server: Generates the generated feedback and advice as a response and sends it to the device.

[0073] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[0074] Specific examples

[0075] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model to generate plot ideas based on the request. The generated ideas are displayed to the user through the device, allowing them to obtain a new plot.

[0076] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The user can use these ideas to improve their presentation materials.

[0077] The present invention makes it possible to efficiently support creative activities and maximize the creativity of users.

[0078] The processing flow will be explained below.

[0079] 1. Idea generation

[0080] Step 1:

[0081] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[0082] Step 2:

[0083] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[0084] Step 3:

[0085] The server receives requests sent from the device and passes the requests to the generative AI model.

[0086] Step 4:

[0087] The generative AI model generates new ideas and concepts based on a user theme or request, such as "a story about a rebellion on a future Mars colony."

[0088] Step 5:

[0089] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[0090] Step 6:

[0091] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[0092] 2. Creative problem solving

[0093] Step 1:

[0094] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[0095] Step 2:

[0096] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[0097] Step 3:

[0098] The server receives requests sent from the device and passes the requests to the generative AI model.

[0099] Step 4:

[0100] Generative AI models generate new insights and solutions to user problems, such as adding visually appealing infographics or inserting stories to appeal to emotions.

[0101] Step 5:

[0102] The server generates the generated insights and solutions as a response and sends them to the terminal.

[0103] Step 6:

[0104] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[0105] 3. Providing criticism and feedback

[0106] Step 1:

[0107] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[0108] Step 2:

[0109] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[0110] Step 3:

[0111] The server receives requests sent from the device and passes the requests to the generative AI model.

[0112] Step 4:

[0113] The generative AI model generates specific feedback and advice for improvement for a user's work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0114] Step 5:

[0115] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[0116] Step 6:

[0117] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[0118] These are the specific processing steps in each process of the system.

[0119] Example 1

[0120] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0121] In modern society, there is a growing demand for support tools that allow users to carry out creative activities more efficiently and effectively. However, with conventional systems, it is often difficult for users to generate new ideas, concrete solutions, or obtain feedback and advice on improvements. In particular, there is a demand for an integrated and user-friendly system for generating ideas based on a theme, proposing concrete solutions to problems, and providing feedback on creative works. Therefore, it is necessary to provide a system that solves these issues and comprehensively supports users' creative activities.

[0122] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0123] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas or concepts based on the theme or request using a generative AI model, and a means for displaying the generated ideas or concepts to the user. This allows users to efficiently generate new ideas and concepts and engage in creative activities more effectively. Furthermore, by providing a function for proposing solutions to problems and a function for providing feedback, comprehensive support for users' creativity is realized.

[0124] "User" refers to an individual or organization that uses the system to input topics and requests in order to obtain new ideas and solutions.

[0125] A "theme" refers to a particular topic or concept specified by the user.

[0126] "Requirements" refer to the specific outputs or results that users expect from the system.

[0127] "Server" refers to a computer system that receives input from a user, processes it using a generative AI model, and returns the results to the user.

[0128] A "generative artificial intelligence model" refers to an artificial intelligence algorithm or machine learning model that generates new ideas, solutions, feedback, etc. based on user input.

[0129] "Ideas" refer to new concepts and creative hints generated by generative AI models.

[0130] A "concept" is an abstract idea or notion related to a topic or requirement.

[0131] "Challenge" refers to the problem or obstacle that the user wants to solve.

[0132] "Solution" refers to the specific countermeasure to the problem presented by the generative AI model.

[0133] "Insight" refers to information that provides a new perspective or understanding of a problem.

[0134] "Creative Works" refers to works or ideas created by Users themselves.

[0135] "Feedback" refers to the evaluation and considerations that the generative AI model provides to users' creations and ideas.

[0136] "Improvement advice" refers to suggestions and guidance for improving a user's creations or ideas.

[0137] The present invention is a system that generates new ideas and concepts based on user input of themes and requirements, a system that provides solutions and insights to problems the user wants to solve, and a system that provides feedback and advice on improvements to the user's creations and ideas. These systems are realized using generative AI models.

[0138] System Configuration

[0139] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[0140] Processing flow (overview)

[0141] When a user inputs a topic, request, problem to be solved, or creation or idea, the details are sent to the server, which uses a generative AI model to generate output (new ideas, solutions, feedback) based on those inputs and sends it back to the user's device, where they can view the results.

[0142] Example

[0143] Here, a specific usage scenario will be described as an example.

[0144] Idea generation

[0145] User: The user inputs the theme "Come up with a plot for a new science fiction novel" through the terminal.

[0146] Terminal: Generates a request to send input data to the server.

[0147] Server: Receives requests and passes them to the generative AI model.

[0148] Generative AI model: Generates new ideas, such as "A story about a rebellion on a future Mars colony."

[0149] Server: Sends the generated ideas to the device.

[0150] Terminal: displays the generated ideas to the user.

[0151] Resolving the issue

[0152] User: The user enters an issue, saying, "My presentations tend to be boring. Any ideas for improving them?"

[0153] Terminal: Generates a request to send input data to the server.

[0154] Server: Receives requests and passes them to the generative AI model.

[0155] Generative AI models generate solutions such as "add visually appealing infographics."

[0156] Server: Sends the generated solution to the device.

[0157] Terminal: Displays the results to the user.

[0158] Providing Feedback

[0159] User: The user enters their own poem and says, "I'd like to hear your thoughts on this poem."

[0160] Terminal: Generates a request to send input data to the server.

[0161] Server: Receives requests and passes them to the generative AI model.

[0162] The generative AI model generates feedback such as, "The theme of the poem is inspiring, but the third stanza is too abstract. It would be better if you added more concrete imagery."

[0163] Server: Sends the generated feedback to the device.

[0164] Terminal: Display feedback to the user.

[0165] Prompt Sentence Examples

[0166] You can utilize the system's capabilities by inputting the following prompt sentences into the generative AI model:

[0167] 1. "Generate plot ideas for a new science fiction novel."

[0168] 2. "My presentations tend to be boring. Can you give me some ideas on how to improve them?"

[0169] 3. "Please give me feedback on this poem."

[0170] As described above, the present invention makes it possible to comprehensively support users' creative activities and provide specific and useful ideas, solutions, and feedback using generative AI models.

[0171] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0172] Idea generation

[0173] Step 1:

[0174] User: The user uses the device's input interface to enter a topic, for example, "Think of a plot for a new science fiction novel."

[0175] Input: Text entered by the user.

[0176] Specific behavior: The user enters text into the input form and clicks the "Submit" button.

[0177] Output: The input text data.

[0178] Step 2:

[0179] Terminal: The terminal receives the user's input and generates an HTTP request to send it to the server.

[0180] Input: The text data entered.

[0181] Specific behavior: The form's submit event is triggered, the input data is formatted in JSON format, and sent to the server as a POST request.

[0182] Output: A POST request to the server.

[0183] Step 3:

[0184] Server: The server receives the HTTP request from the device and analyzes the request data.

[0185] Input: The HTTP request sent from the device.

[0186] Specific operation: The server-side endpoint catches the request, analyzes it, and prepares it to be passed to the generative AI model.

[0187] Output: The parsed request data.

[0188] Step 4:

[0189] Generative AI model: A generative AI model generates new ideas based on a given theme, such as "A story about a rebellion breaking out on a Mars colony in the future."

[0190] Input: The parsed request data.

[0191] What it does: The AI ​​model uses its internal algorithms to generate text related to the topic.

[0192] Output: Generated ideas.

[0193] Step 5:

[0194] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[0195] Input: Generated ideas.

[0196] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[0197] Output: HTTP response to the device.

[0198] Step 6:

[0199] Terminal: The terminal receives the response from the server and displays it to the user, who can then check the generated ideas.

[0200] Input: The HTTP response from the server.

[0201] What happens: The device renders the received data into HTML or other display format and displays the results on the screen.

[0202] Output: The results displayed to the user.

[0203] Resolving the issue

[0204] Step 1:

[0205] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improvement?"

[0206] Input: Text entered by the user.

[0207] What happens: The user fills in the form with details about the problem and clicks the "Submit" button.

[0208] Output: The input text data.

[0209] Step 2:

[0210] Terminal: The terminal receives the entered problem details and generates an HTTP request to send them to the server.

[0211] Input: The text data entered.

[0212] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[0213] Output: A POST request to the server.

[0214] Step 3:

[0215] Server: The server receives the HTTP request from the device and analyzes the request data.

[0216] Input: The HTTP request sent from the device.

[0217] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[0218] Output: The parsed request data.

[0219] Step 4:

[0220] Generative AI models: Generative AI models generate new insights and solutions to problems, for example, "add visually appealing infographics."

[0221] Input: The parsed request data.

[0222] What it does: The AI ​​model applies algorithms based on input data to generate new solutions.

[0223] Output: The generated solution.

[0224] Step 5:

[0225] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[0226] Input: The generated solution.

[0227] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[0228] Output: HTTP response to the device.

[0229] Step 6:

[0230] Terminal: The terminal receives the response from the server and displays it to the user, who can then view the new solution.

[0231] Input: The HTTP response from the server.

[0232] What happens: The device renders the received data into a display format and displays the result on the screen.

[0233] Output: The results displayed to the user.

[0234] Providing Feedback

[0235] Step 1:

[0236] User: A user enters their own work or idea into the device and asks for feedback. For example, they might enter, "I'd like to hear your thoughts on this poem."

[0237] Input: Text entered by the user.

[0238] Specific actions: The user enters their work or idea into the input form and clicks the "Submit" button.

[0239] Output: The input text data.

[0240] Step 2:

[0241] Terminal: The terminal receives the input work or idea and generates an HTTP request to send it to the server.

[0242] Input: The text data entered.

[0243] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[0244] Output: A POST request to the server.

[0245] Step 3:

[0246] Server: The server receives the HTTP request from the device and analyzes the request data.

[0247] Input: The HTTP request sent from the device.

[0248] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[0249] Output: The parsed request data.

[0250] Step 4:

[0251] Generative AI model: The generative AI model generates specific feedback and advice for improvement on your work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0252] Input: The parsed request data.

[0253] What happens: The AI ​​model uses its internal algorithms to start the generation process and generate the feedback text.

[0254] Output: The generated feedback.

[0255] Step 5:

[0256] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[0257] Input: The generated feedback.

[0258] Specific operation: The server wraps the generated feedback in an HTTP response and sends it back to the device.

[0259] Output: HTTP response to the device.

[0260] Step 6:

[0261] Device: The device receives the response from the server and displays it to the user, who can then use the feedback to improve their work.

[0262] Input: The HTTP response from the server.

[0263] What happens: The device renders the received feedback into a display format and displays the data to the user.

[0264] Output: The results displayed to the user.

[0265] (Application example 1)

[0266] 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."

[0267] Conventional creative activity support systems often only generate ideas and concepts, and it has been difficult to provide detailed support to meet user needs, especially in the field of video content. Specifically, there has been a lack of systems that provide comprehensive support, from generating video content ideas and script writing support to providing advice on areas for improvement. As a result, users have had to carry out the creative process on their own, resulting in problems of poor efficiency and quality.

[0268] 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.

[0269] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts for video content based on the theme or request using a generative AI model, and a means for displaying the generated ideas and concepts for video content to the user. This allows users to easily obtain ideas for video content. Furthermore, the server then provides specific support for writing a scenario for the video content and even suggests improvements to existing content, enabling efficient and high-quality creative activities.

[0270] A "user" is someone who uses a system that supports creative activities.

[0271] A "topic or request" is a specific topic or request that a user inputs to the system.

[0272] A "means" is a mechanism or device for performing a specific function or process.

[0273] A "server" is a computer or group of computers that receives and processes requests from users.

[0274] A "generative artificial intelligence model" is an artificial intelligence algorithm for generating new ideas and concepts based on user input.

[0275] "Ideas and concepts" refer to plans and concepts for new video content.

[0276] "Video content" refers to information content that combines video and audio.

[0277] A "scenario" is a plan that provides a detailed description and outline of the video content.

[0278] "Feedback" refers to ratings and comments on user-created content.

[0279] "Improvement Advice" are specific suggestions for improving user-created content.

[0280] "Displaying" means visually presenting the generated information to a user.

[0281] This invention is a system that uses generative AI models to generate ideas for video content, support script writing, and provide improvement advice. The system includes a means for generating new ideas and concepts based on a theme or request entered by the user and displaying them to the user. It can also generate and display specific solutions and feedback based on details of a problem or existing work entered by the user.

[0282] System Configuration

[0283] The system is implemented by the following components:

[0284] User devices: Includes input devices such as smartphones and tablets.

[0285] Server: A computer or group of computers that runs the generative AI model and receives and sends data. For example, a high-performance server such as AWS (registered trademark) EC2 is used.

[0286] Generative AI models: Leverage advanced artificial intelligence models such as GPT-4®.

[0287] Program processing flow

[0288] 1. Idea generation

[0289] A user uses a smartphone to input a topic or request, for example, "Give me ideas for new YouTube® videos."

[0290] The user terminal generates a request to send this request to the server.

[0291] The server receives the request and passes the theme and requirements to the generative AI model.

[0292] The generative AI model generates new video content ideas and concepts based on themes and requests, such as "Introducing healthy breakfast menus using immune-boosting ingredients."

[0293] The server sends the generated idea to the user terminal as a response.

[0294] The user terminal receives the response and displays it to the user.

[0295] 2. Scenario writing support

[0296] The user inputs a request such as "I want you to write a scenario based on this idea."

[0297] The user terminal generates a request to send this request to the server.

[0298] The server receives the request and passes it on to the generative AI model.

[0299] The generative AI model generates specific scenarios, such as "Segment 1: Introduction, Segment 2: Ingredients Explanation, Segment 3: Cooking Process."

[0300] The server sends the generated scenario to the user terminal as a response.

[0301] The user terminal receives the response and displays it to the user.

[0302] 3. Advice for improvement

[0303] The user provides existing ideas, saying, "Please tell me how to improve this scenario."

[0304] The user terminal generates a request to send this request to the server.

[0305] The server receives the request and passes the idea to the generative AI model.

[0306] The generative AI model generates recommendations for improvement, such as "shorten the intro to grab the viewer's attention."

[0307] The server sends the generated advice to the user terminal as a response.

[0308] The user terminal receives the response and displays it to the user.

[0309] Specific examples

[0310] For example, if a user types into their smartphone, "Give me ideas for a new YouTube video," the generative AI model will generate specific ideas such as "Introducing a healthy breakfast menu using ingredients that boost the immune system." If the user then types, "Please write a scenario based on this idea," the model will present specific scenarios such as "Segment 1: Introduction, Segment 2: Ingredients explanation, Segment 3: Cooking process."

[0311] Example prompt sentence:

[0312] Do you have any ideas for new YouTube cooking videos?

[0313]

[0314] Write a script for this cooking video idea.

[0315]

[0316] How can I improve this scenario?

[0317] The above is an embodiment of the present invention. This system allows users to easily obtain ideas for video content as well as advice on how to improve it.

[0318] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0319] Step 1:

[0320] A user uses a smartphone to input a topic or request. For example, the user might input "Give me ideas for a new YouTube video." The input data is the topic or request in text format. The user device receives the input and generates a request to send to the server. This request includes the user ID and the input topic or request.

[0321] Step 2:

[0322] The server receives requests sent from the user's device and passes the theme or request to the generative AI model. The request data consists of the user ID and text data of the theme or request. The generative AI model analyzes this text data and generates ideas and concepts for new video content. During this process, the AI ​​model uses a large learning database to make new proposals while referring to related past ideas and concepts.

[0323] Step 3:

[0324] The ideas and concepts generated by the generative AI model are returned to the server, which generates a response to send the returned data to the user, including the user ID and the generated ideas and concepts.

[0325] Step 4:

[0326] The user device receives the response sent from the server and displays it to the user. The display is done on the smartphone screen, and the generated ideas and concepts are presented visually in an easy-to-understand manner. The user can view this to get ideas for new video content.

[0327] Step 5:

[0328] The user then inputs a further request, saying, "I want you to write a scenario based on this idea." Specifically, the user uses the input interface of the user terminal to send the request for writing a scenario in text format.

[0329] Step 6:

[0330] Again, the user device generates a request and sends it to the server, which then receives the request and passes it to the generative AI model.

[0331] Step 7:

[0332] The generative AI model generates a specific scenario based on the provided idea. The generated scenario data is returned in text format to the server. The server receives this data and generates a response to display to the user.

[0333] Step 8:

[0334] The user terminal receives the scenario response sent from the server and displays it to the user, who can then proceed with the creation of video content based on this scenario.

[0335] Step 9:

[0336] The user further inputs a request saying, "Please tell me how to improve this scenario." Specifically, the user inputs a text request into the user terminal, asking for suggestions for improving the existing scenario.

[0337] Step 10:

[0338] The user device generates a request to send this request to the server, which receives the request and passes it to the generative AI model to generate improvements to the scenario.

[0339] Step 11:

[0340] The generative AI model analyzes existing scenarios and generates specific suggestions for improvement, such as shortening the intro. The server then generates a response containing these suggestions and sends it to the user's device.

[0341] Step 12:

[0342] The user terminal receives the response of the improvement points sent from the server and displays it to the user, who can then further refine the content based on this improvement advice.

[0343] The above are the processing steps of the system that realizes the application example and the specific operations of each.

[0344] 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.

[0345] This invention is a system that supports creative activities using a generative artificial intelligence model and an emotion engine. Specifically, it has the functions of generating new ideas and concepts based on user input of themes and requirements, providing solutions and insights to complex problems, providing feedback and advice on improvements to works and ideas, and recognizing the user's emotions and making adjustments based on their state.

[0346] System Configuration

[0347] The system includes a user device, a server, a generative AI model, and an emotion engine. The user device can be a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[0348] Program processing flow

[0349] 1. Idea generation

[0350] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[0351] Terminal: Receives input topics and requests and generates requests to send them to the server.

[0352] Server: The server receives requests and passes data about the subject, request, and user state to the generative AI model and emotion engine.

[0353] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[0354] Generative AI model: Generates new ideas and concepts based on themes, requirements, and emotional states from the emotion engine. For example, it generates a story about a rebellion on a future Mars colony.

[0355] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[0356] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[0357] 2. Creative problem solving

[0358] User: The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[0359] Terminal: Receives the entered problem details and generates a request to send them to the server.

[0360] Server: The server receives the request and passes the problem details and user state data to the generative AI model and emotion engine.

[0361] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[0362] Generative AI model: Generates new insights and solutions based on problem details and emotional states from the emotion engine, such as "add visually appealing infographics" or "insert a story to appeal to emotions."

[0363] Server: Generates the generated insights and solutions as responses and sends them to the device.

[0364] Terminal: Receives the responses and displays them to the user, who can review and try out the generated insights and solutions.

[0365] 3. Providing criticism and feedback

[0366] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[0367] Terminal: Receives input works or ideas and generates requests to send them to the server.

[0368] Server: Receives requests and passes data about the work, idea, and user state to the generative AI model and emotion engine.

[0369] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[0370] Generative AI model: Generates specific feedback and advice for improvement based on the work, idea, and emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0371] Server: Generates the generated feedback and advice as a response and sends it to the device.

[0372] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[0373] Specific examples

[0374] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[0375] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[0376] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[0377] The processing flow will be explained below.

[0378] 1. Idea generation

[0379] Step 1:

[0380] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[0381] Step 2:

[0382] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[0383] Step 3:

[0384] The server receives requests sent from the device and passes the requests to the generative AI model.

[0385] Step 4:

[0386] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[0387] Step 5:

[0388] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[0389] Step 6:

[0390] The generative AI model generates new ideas and concepts based on the user's theme or request and emotional information from the emotion engine, for example, "A story about a rebellion breaking out on a future Mars colony."

[0391] Step 7:

[0392] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[0393] Step 8:

[0394] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[0395] 2. Creative problem solving

[0396] Step 1:

[0397] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[0398] Step 2:

[0399] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[0400] Step 3:

[0401] The server receives requests sent from the device and passes the requests to the generative AI model.

[0402] Step 4:

[0403] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[0404] Step 5:

[0405] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[0406] Step 6:

[0407] The generative AI model generates new insights and solutions based on the details of the user's problem and the emotional information from the emotion engine, such as "add a visually appealing infographic" or "insert a story to appeal to emotions."

[0408] Step 7:

[0409] The server generates the generated insights and solutions as a response and sends them to the terminal.

[0410] Step 8:

[0411] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[0412] 3. Providing criticism and feedback

[0413] Step 1:

[0414] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[0415] Step 2:

[0416] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[0417] Step 3:

[0418] The server receives requests sent from the device and passes the requests to the generative AI model.

[0419] Step 4:

[0420] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[0421] Step 5:

[0422] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[0423] Step 6:

[0424] The generative AI model generates specific feedback and advice for improvement based on the user's work or idea and emotional information from the emotion engine. For example, it might generate feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0425] Step 7:

[0426] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[0427] Step 8:

[0428] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[0429] These are the specific processing steps in each process of the system.

[0430] Example 2

[0431] 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."

[0432] Conventional creative support systems often generate ideas, concepts, solutions, insights, and feedback that do not reflect the user's emotional state, resulting in insufficient support for maximizing stimulating creativity. Furthermore, lack of adjustments based on the user's emotional state can lead to lower user satisfaction and inefficient creative work. Therefore, there is a need for a system that can provide support tailored to the user's needs by recognizing the user's emotional state and adjusting the generation process of a generative AI model accordingly.

[0433] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for generating ideas and concepts based on a theme or requirement using a generative AI model, a means for recognizing the emotional state of a user using an emotion engine and adjusting the generation process of the generative AI model based on that state, and a means for displaying the generated ideas and concepts to the user. This allows new ideas, solutions, and feedback to be generated taking the user's emotional state into consideration, thereby improving user satisfaction and efficiently supporting creative activities.

[0434] A "theme" is a problem or topic that a user provides to the system, or a general content for which the user wishes to generate ideas.

[0435] A "request" is a specific need or request that a user provides to a system based on a specific purpose or condition.

[0436] A "server" is a computer or group of computers that receives and processes requests from user terminals over a network.

[0437] A "generative artificial intelligence model" is an artificial intelligence algorithm used to generate new ideas, solutions, and feedback based on user input.

[0438] An "emotion engine" is a technology that recognizes the user's emotional state and adjusts the system's behavior and output based on that state.

[0439] "Ideas" are creative outcomes such as new concepts, plots, and solutions generated by generative AI models.

[0440] A "concept" is an abstract idea or plan based on a theme that is generated by a generative AI model.

[0441] A "user" is an entity that uses the system to input topics and requirements and receives generated ideas, solutions, and feedback.

[0442] "Input means" refers to an interface or device through which a user inputs a topic, request, problem details, work, or idea into the system.

[0443] The "means for receiving and transmitting to the server" refers to a process or function for receiving data input by a user and transmitting it to the server.

[0444] "Generative means" refers to the ability to generate new ideas, solutions, and feedback using generative AI models and emotion engines.

[0445] The "display means" refers to an interface or device for visually presenting the generated results received from the server to the user.

[0446] The present invention is a system that provides creative ideas, solutions, and feedback based on user input. By combining a generative AI model and an emotion engine, it provides support that takes the user's emotional state into consideration. The system includes a user terminal, a server, a generative AI model, and an emotion engine. The user terminal consists of a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[0447] The system operation is outlined below.

[0448] (Idea generation)

[0449] A user inputs a theme or request into the system using the device's input interface. For example, the user might input, "Give me a plot idea for a new science fiction novel." The device receives the input theme or request and sends it to the server. The server receives the request and passes the theme or request, as well as data about the user's emotional state, to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new ideas and concepts based on the theme or request and the emotional state from the emotion engine. For example, it generates a story about a rebellion breaking out on a future Mars colony. The server generates the generated idea or concept as a response and sends it to the device. The device receives the response and displays it to the user.

[0450] (Creative problem solving)

[0451] A user uses a device to input details of the problem they want to solve. For example, they might input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The device receives the input problem details and sends them to the server. The server receives the request and passes data on the problem details and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new insights and solutions based on the problem details and the emotional state from the emotion engine. For example, it generates solutions such as "add a visually appealing infographic" or "insert a story to appeal to emotions." The server generates the generated insights and solutions as a response and sends it to the device. The device receives the response and displays it to the user.

[0452] (Providing criticism and feedback)

[0453] A user inputs their own work or idea into the device and requests feedback. For example, a user might input a poem such as, "I'd like to hear your thoughts on this poem." The device receives the input work or idea and sends it to the server. The server receives the request and passes data about the work or idea and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and transmits that information to the generative AI model. The generative AI model generates specific feedback and advice for improvement based on the work or idea and the emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery." The server generates the generated feedback and advice as a response and sends it to the device. The device receives the response and displays it to the user.

[0454] (Example)

[0455] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[0456] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[0457] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[0458] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0459] Step 1:

[0460] The user enters a topic or request into the device's input interface. For example, they might enter, "Give me some plot ideas for a new science fiction novel." The input format can be a text box or voice input. The user's input data is temporarily stored in the device's memory.

[0461] Step 2:

[0462] The device receives user input and generates a request to send the input data to the server. This request includes the input subject, request, and required metadata. Specific operations include generating and sending a POST request.

[0463] Step 3:

[0464] The server receives the request sent from the terminal and analyzes and extracts the input data from the request body. Through this analysis process, the user's input is recognized as a theme or request. The server then passes the extracted theme and request data to the next step.

[0465] Step 4:

[0466] The server passes data about the theme, request, and user's emotional state to the generative AI model and emotion engine. Specifically, it invokes the generative AI model and emotion engine using API calls and passes the required data as parameters. Metadata about the emotional state is generated based on, for example, past input data or user profile.

[0467] Step 5:

[0468] The emotion engine takes the data passed to it as input and analyzes and recognizes the user's emotional state. The emotion engine uses natural language processing techniques to extract the user's emotions from the input text. For example, it generates an emotion score such as stress, joy, or anticipation. This emotion data is fed back to the generative AI model.

[0469] Step 6:

[0470] The generative AI model generates new ideas and concepts based on themes, requests, and emotional data. Specifically, a text generation algorithm operates based on the generated prompt text to generate new story plots and concepts. For example, it could generate a story about a rebellion breaking out on a future Mars colony.

[0471] Step 7:

[0472] The server receives the results returned by the generative AI model, reformats them as a response body containing the generated ideas and concepts, and sends this response to the device as an HTTP response.

[0473] Step 8:

[0474] The device receives the response sent from the server and displays the generated ideas and concepts in the display area. Specific operations include analyzing the received data and updating the GUI for display. The user can check the results on the device screen.

[0475] This is the process flow of the system, which allows users to efficiently obtain creative ideas, solutions, and feedback that take into account their emotional state.

[0476] (Application example 2)

[0477] 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."

[0478] Improving production efficiency and work quality in modern factories requires providing quick and accurate solutions to problems faced by workers. However, conventional systems lack appropriate support based on the worker's emotional state, leading to serious issues such as mistakes caused by worker stress and fatigue and reduced production efficiency. In addition, the provision of new ideas and feedback for work improvement is limited, making it difficult to fully utilize workers' creativity.

[0479] 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 a means for the user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts based on the theme or request using a generative AI model, a means for recognizing the user's emotional state using an emotion engine and transmitting that information to the generative AI model, and a means for displaying the generated ideas and concepts to the user. This makes it possible to provide appropriate ideas and solutions according to the user's emotional state.

[0480] "User" refers to a person who uses the system to input details of a topic, request, or problem and receive generated ideas and solutions.

[0481] "Topic or Request" refers to a topic or specific request for generating ideas or concepts entered by a user.

[0482] "Server" refers to a computer or group of computers that receives themes, requests, and problem details sent by users and processes them using generative AI models and emotion engines.

[0483] A "generative artificial intelligence model" refers to an artificial intelligence algorithm that generates new ideas, concepts, and solutions based on user input.

[0484] "Emotion engine" refers to technology for recognizing a user's emotional state and communicating that information to a generative artificial intelligence model.

[0485] "Ideas and Concepts" refers to new thoughts and concepts generated by generative AI models.

[0486] "Solutions and insights" refer to solutions and new knowledge derived by generative AI models for problems faced by users.

[0487] "Feedback and improvement advice" refers to specific suggestions for evaluation and improvement of the work or idea input by the user, generated by the generative AI model.

[0488] "Emotional state" refers to the emotion a user feels while using the system, and this is recognized by the emotion engine.

[0489] "System" refers to a device or program that executes a series of processes that receive user input, process that information using a generative AI model and emotion engine, and display the results to the user.

[0490] This invention is a system that uses a generative AI model and an emotion engine to provide quick and accurate solutions, new ideas, and feedback to factory workers for problems they face. The system takes into account the user's emotional state and provides appropriate support.

[0491] The system consists of the following elements:

[0492] 1. User terminal: A device on which users input themes, requests, details of the problem, and their own works and ideas, including smartphones, tablets, and personal computers.

[0493] 2. Server: A computer or group of computers responsible for processing requests and running the generative AI model and emotion engine.

[0494] 3. Generative AI models: Artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[0495] 4. Emotion Engine: A technology for recognizing the user's emotional state and conveying that information to the generative AI model.

[0496] System Operation

[0497] 1. User Registration

[0498] Users log into the system through a terminal and input the theme, request, details of the problem, and their own work or idea.

[0499] 2. Enter your theme and requirements

[0500] The user uses the device's input interface to input a topic or request into the system, for example, "Please tell me how to improve the efficiency of our new manufacturing line." This input data is sent to the server, which then passes it on to the generative AI model and emotion engine.

[0501] 3. Recognizing emotional states

[0502] The emotion engine recognizes the user's emotional state. For example, if the user is feeling stressed, the emotion engine communicates this information to the generative AI model. The emotion engine uses software such as EmotionRecognition to analyze emotions.

[0503] 4. Idea and solution generation

[0504] The generative AI model generates ideas and solutions based on the input theme or request. By using prompts that reflect the user's emotional state, it can generate more appropriate and effective ideas and solutions. For example, if the emotion is "I'm feeling stressed," the generative AI model adjusts the prompt to "Please tell me how to improve the efficiency of our new manufacturing line. Please give me some calming advice."

[0505] 5. Displaying the results

[0506] The generated ideas and solutions are sent to the terminal via the server and displayed to the user, who can then confirm and implement the generated proposals.

[0507] Specific examples

[0508] For example, if a user types, "My presentation materials tend to be boring. Do you have any ideas for improving them?", and the emotion engine recognizes that the user is confident, the generative AI model will add, "Please give us your suggestions for further improvement." In this case, specific solutions such as "Add visually appealing infographics" or "Insert a story to appeal to emotions" will be displayed as generated ideas.

[0509] Prompt Sentence Examples

[0510] "How can we improve the efficiency of our new manufacturing line?"

[0511] "My presentation materials tend to be boring. Do you have any ideas for improving them?"

[0512] I'd like to hear your thoughts on this poem.

[0513] This system allows factory workers to find quick and accurate solutions to the various problems they face and receive appropriate support according to their emotions, which is expected to result in improved work efficiency and quality.

[0514] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0515] Step 1:

[0516] The user inputs a topic or request. The user inputs a topic or request using the terminal interface. For example, the user might input "Please tell me how to improve the efficiency of the new manufacturing line." This input data is sent from the terminal to the server through the input interface. The input data is in text format.

[0517] Step 2:

[0518] The device receives the input topic and request and sends it to the server. The device receives the text data entered by the user and sends it to the server in the form of an HTTP request or similar. No data processing is performed at this point.

[0519] Step 3:

[0520] The server sends the received data to an emotion recognition engine. The server passes the received user text data to an emotion recognition engine such as EmotionRecognition. The emotion recognition engine analyzes the text and recognizes the user's emotional state. The input is text data, and the output is the emotional state (e.g., stress, fatigue, confidence, etc.).

[0521] Step 4:

[0522] The server receives the results of the emotion recognition engine and sends them to the generative AI model. The server then transmits the emotional state information to the generative AI model. At this time, the prompt sentence is adjusted according to the emotional state. For example, if the emotional state is "stressed," the prompt sentence is changed to "Please tell me how to improve the efficiency of the new production line. Please give me some calming advice." The input is the emotional state and the original prompt sentence, and the output is the adjusted prompt sentence.

[0523] Step 5:

[0524] A generative AI model generates ideas and concepts based on the adjusted prompt. A generative AI model (e.g., GPT-3 (registered trademark)) generates new ideas and concepts based on the adjusted prompt. The input is the adjusted prompt, and the output is the generated text (ideas and concepts).

[0525] Step 6:

[0526] The server generates the generated ideas and concepts as a response and sends it to the terminal. The server sends the generated text data to the terminal in a response format (for example, JSON format). The input is the generated text data, and the output is the response data.

[0527] Step 7:

[0528] The terminal receives the response from the server and displays it to the user. The terminal analyzes the response data received from the server and displays the generated ideas and concepts to the user. The input is the response data, and the output is text data that is displayed on the user's screen. The user can check the generated ideas and concepts.

[0529] 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.

[0530] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0531] 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.

[0532] [Second embodiment]

[0533] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0534] 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.

[0535] 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).

[0536] 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.

[0537] 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.

[0538] 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).

[0539] 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.

[0540] 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.

[0541] 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.

[0542] 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.

[0543] 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.

[0544] 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."

[0545] The present invention is a system that supports creative activities using a generative artificial intelligence model. Specifically, it has functions that allow users to input a theme or request and generate new ideas and concepts based on it, provide solutions and insights to complex problems, and provide feedback and advice on improvements to works and ideas.

[0546] System Configuration

[0547] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[0548] Program processing flow

[0549] 1. Idea generation

[0550] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[0551] Terminal: Receives input topics and requests and generates requests to send them to the server.

[0552] Server: The server receives requests and passes themes and requirements to the generative AI model.

[0553] Generative AI model: Generates new ideas and concepts based on themes and requirements, such as "a story about a rebellion on a future Mars colony."

[0554] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[0555] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[0556] 2. Creative problem solving

[0557] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improving them?"

[0558] Terminal: Receives the entered problem details and generates a request to send them to the server.

[0559] Server: Receives the request and passes the problem details to the generative AI model.

[0560] Generative AI models generate new insights and perspectives on a problem, such as solutions like adding visually appealing infographics or inserting a story to appeal to emotions.

[0561] Server: Generates the generated solutions and insights as responses and sends them to the device.

[0562] Terminal: Receives the response and displays it to the user, who can then review and try out new insights and solutions.

[0563] 3. Providing criticism and feedback

[0564] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[0565] Terminal: Receives input works or ideas and generates requests to send them to the server.

[0566] Server: Receives requests and passes creations and ideas to the generative AI model.

[0567] Generative AI model: Generates specific feedback and advice for improvement on a work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0568] Server: Generates the generated feedback and advice as a response and sends it to the device.

[0569] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[0570] Specific examples

[0571] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model to generate plot ideas based on the request. The generated ideas are displayed to the user through the device, allowing them to obtain a new plot.

[0572] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The user can use these ideas to improve their presentation materials.

[0573] The present invention makes it possible to efficiently support creative activities and maximize the creativity of users.

[0574] The processing flow will be explained below.

[0575] 1. Idea generation

[0576] Step 1:

[0577] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[0578] Step 2:

[0579] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[0580] Step 3:

[0581] The server receives requests sent from the device and passes the requests to the generative AI model.

[0582] Step 4:

[0583] The generative AI model generates new ideas and concepts based on a user theme or request, such as "a story about a rebellion on a future Mars colony."

[0584] Step 5:

[0585] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[0586] Step 6:

[0587] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[0588] 2. Creative problem solving

[0589] Step 1:

[0590] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[0591] Step 2:

[0592] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[0593] Step 3:

[0594] The server receives requests sent from the device and passes the requests to the generative AI model.

[0595] Step 4:

[0596] Generative AI models generate new insights and solutions to user problems, such as adding visually appealing infographics or inserting stories to appeal to emotions.

[0597] Step 5:

[0598] The server generates the generated insights and solutions as a response and sends them to the terminal.

[0599] Step 6:

[0600] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[0601] 3. Providing criticism and feedback

[0602] Step 1:

[0603] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[0604] Step 2:

[0605] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[0606] Step 3:

[0607] The server receives requests sent from the device and passes the requests to the generative AI model.

[0608] Step 4:

[0609] The generative AI model generates specific feedback and advice for improvement for a user's work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0610] Step 5:

[0611] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[0612] Step 6:

[0613] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[0614] These are the specific processing steps in each process of the system.

[0615] Example 1

[0616] 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."

[0617] In modern society, there is a growing demand for support tools that allow users to carry out creative activities more efficiently and effectively. However, with conventional systems, it is often difficult for users to generate new ideas, concrete solutions, or obtain feedback and advice on improvements. In particular, there is a demand for an integrated and user-friendly system for generating ideas based on a theme, proposing concrete solutions to problems, and providing feedback on creative works. Therefore, it is necessary to provide a system that solves these issues and comprehensively supports users' creative activities.

[0618] 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.

[0619] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas or concepts based on the theme or request using a generative AI model, and a means for displaying the generated ideas or concepts to the user. This allows users to efficiently generate new ideas and concepts and engage in creative activities more effectively. Furthermore, by providing a function for proposing solutions to problems and a function for providing feedback, comprehensive support for users' creativity is realized.

[0620] "User" refers to an individual or organization that uses the system to input topics and requests in order to obtain new ideas and solutions.

[0621] A "theme" refers to a particular topic or concept specified by the user.

[0622] "Requirements" refer to the specific outputs or results that users expect from the system.

[0623] "Server" refers to a computer system that receives input from a user, processes it using a generative AI model, and returns the results to the user.

[0624] A "generative artificial intelligence model" refers to an artificial intelligence algorithm or machine learning model that generates new ideas, solutions, feedback, etc. based on user input.

[0625] "Ideas" refer to new concepts and creative hints generated by generative AI models.

[0626] A "concept" is an abstract idea or notion related to a topic or requirement.

[0627] "Challenge" refers to the problem or obstacle that the user wants to solve.

[0628] "Solution" refers to the specific countermeasure to the problem presented by the generative AI model.

[0629] "Insight" refers to information that provides a new perspective or understanding of a problem.

[0630] "Creative Works" refers to works or ideas created by Users themselves.

[0631] "Feedback" refers to the evaluation and considerations that the generative AI model provides to users' creations and ideas.

[0632] "Improvement advice" refers to suggestions and guidance for improving a user's creations or ideas.

[0633] The present invention is a system that generates new ideas and concepts based on user input of themes and requirements, a system that provides solutions and insights to problems the user wants to solve, and a system that provides feedback and advice on improvements to the user's creations and ideas. These systems are realized using generative AI models.

[0634] System Configuration

[0635] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[0636] Processing flow (overview)

[0637] When a user inputs a topic, request, problem to be solved, or creation or idea, the details are sent to the server, which uses a generative AI model to generate output (new ideas, solutions, feedback) based on those inputs and sends it back to the user's device, where they can view the results.

[0638] Example

[0639] Here, a specific usage scenario will be described as an example.

[0640] Idea generation

[0641] User: The user inputs the theme "Come up with a plot for a new science fiction novel" through the terminal.

[0642] Terminal: Generates a request to send input data to the server.

[0643] Server: Receives requests and passes them to the generative AI model.

[0644] Generative AI model: Generates new ideas, such as "A story about a rebellion on a future Mars colony."

[0645] Server: Sends the generated ideas to the device.

[0646] Terminal: displays the generated ideas to the user.

[0647] Resolving the issue

[0648] User: The user enters an issue, saying, "My presentations tend to be boring. Any ideas for improving them?"

[0649] Terminal: Generates a request to send input data to the server.

[0650] Server: Receives requests and passes them to the generative AI model.

[0651] Generative AI models generate solutions such as "add visually appealing infographics."

[0652] Server: Sends the generated solution to the device.

[0653] Terminal: Displays the results to the user.

[0654] Providing Feedback

[0655] User: The user enters their own poem and says, "I'd like to hear your thoughts on this poem."

[0656] Terminal: Generates a request to send input data to the server.

[0657] Server: Receives requests and passes them to the generative AI model.

[0658] The generative AI model generates feedback such as, "The theme of the poem is inspiring, but the third stanza is too abstract. It would be better if you added more concrete imagery."

[0659] Server: Sends the generated feedback to the device.

[0660] Terminal: Display feedback to the user.

[0661] Prompt Sentence Examples

[0662] You can utilize the system's capabilities by inputting the following prompt sentences into the generative AI model:

[0663] 1. "Generate plot ideas for a new science fiction novel."

[0664] 2. "My presentations tend to be boring. Can you give me some ideas on how to improve them?"

[0665] 3. "Please give me feedback on this poem."

[0666] As described above, the present invention makes it possible to comprehensively support users' creative activities and provide specific and useful ideas, solutions, and feedback using generative AI models.

[0667] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0668] Idea generation

[0669] Step 1:

[0670] User: The user uses the device's input interface to enter a topic, for example, "Think of a plot for a new science fiction novel."

[0671] Input: Text entered by the user.

[0672] Specific behavior: The user enters text into the input form and clicks the "Submit" button.

[0673] Output: The input text data.

[0674] Step 2:

[0675] Terminal: The terminal receives the user's input and generates an HTTP request to send it to the server.

[0676] Input: The text data entered.

[0677] Specific behavior: The form's submit event is triggered, the input data is formatted in JSON format, and sent to the server as a POST request.

[0678] Output: A POST request to the server.

[0679] Step 3:

[0680] Server: The server receives the HTTP request from the device and analyzes the request data.

[0681] Input: The HTTP request sent from the device.

[0682] Specific operation: The server-side endpoint catches the request, analyzes it, and prepares it to be passed to the generative AI model.

[0683] Output: The parsed request data.

[0684] Step 4:

[0685] Generative AI model: A generative AI model generates new ideas based on a given theme, such as "A story about a rebellion breaking out on a Mars colony in the future."

[0686] Input: The parsed request data.

[0687] What it does: The AI ​​model uses its internal algorithms to generate text related to the topic.

[0688] Output: Generated ideas.

[0689] Step 5:

[0690] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[0691] Input: Generated ideas.

[0692] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[0693] Output: HTTP response to the device.

[0694] Step 6:

[0695] Terminal: The terminal receives the response from the server and displays it to the user, who can then check the generated ideas.

[0696] Input: The HTTP response from the server.

[0697] What happens: The device renders the received data into HTML or other display format and displays the results on the screen.

[0698] Output: The results displayed to the user.

[0699] Resolving the issue

[0700] Step 1:

[0701] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improvement?"

[0702] Input: Text entered by the user.

[0703] What happens: The user fills in the form with details about the problem and clicks the "Submit" button.

[0704] Output: The input text data.

[0705] Step 2:

[0706] Terminal: The terminal receives the entered problem details and generates an HTTP request to send them to the server.

[0707] Input: The text data entered.

[0708] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[0709] Output: A POST request to the server.

[0710] Step 3:

[0711] Server: The server receives the HTTP request from the device and analyzes the request data.

[0712] Input: The HTTP request sent from the device.

[0713] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[0714] Output: The parsed request data.

[0715] Step 4:

[0716] Generative AI models: Generative AI models generate new insights and solutions to problems, for example, "add visually appealing infographics."

[0717] Input: The parsed request data.

[0718] What it does: The AI ​​model applies algorithms based on input data to generate new solutions.

[0719] Output: The generated solution.

[0720] Step 5:

[0721] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[0722] Input: The generated solution.

[0723] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[0724] Output: HTTP response to the device.

[0725] Step 6:

[0726] Terminal: The terminal receives the response from the server and displays it to the user, who can then view the new solution.

[0727] Input: The HTTP response from the server.

[0728] What happens: The device renders the received data into a display format and displays the result on the screen.

[0729] Output: The results displayed to the user.

[0730] Providing Feedback

[0731] Step 1:

[0732] User: A user enters their own work or idea into the device and asks for feedback. For example, they might enter, "I'd like to hear your thoughts on this poem."

[0733] Input: Text entered by the user.

[0734] Specific actions: The user enters their work or idea into the input form and clicks the "Submit" button.

[0735] Output: The input text data.

[0736] Step 2:

[0737] Terminal: The terminal receives the input work or idea and generates an HTTP request to send it to the server.

[0738] Input: The text data entered.

[0739] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[0740] Output: A POST request to the server.

[0741] Step 3:

[0742] Server: The server receives the HTTP request from the device and analyzes the request data.

[0743] Input: The HTTP request sent from the device.

[0744] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[0745] Output: The parsed request data.

[0746] Step 4:

[0747] Generative AI model: The generative AI model generates specific feedback and advice for improvement on your work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0748] Input: The parsed request data.

[0749] What happens: The AI ​​model uses its internal algorithms to start the generation process and generate the feedback text.

[0750] Output: The generated feedback.

[0751] Step 5:

[0752] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[0753] Input: The generated feedback.

[0754] Specific operation: The server wraps the generated feedback in an HTTP response and sends it back to the device.

[0755] Output: HTTP response to the device.

[0756] Step 6:

[0757] Device: The device receives the response from the server and displays it to the user, who can then use the feedback to improve their work.

[0758] Input: The HTTP response from the server.

[0759] What happens: The device renders the received feedback into a display format and displays the data to the user.

[0760] Output: The results displayed to the user.

[0761] (Application example 1)

[0762] 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."

[0763] Conventional creative activity support systems often only generate ideas and concepts, and it has been difficult to provide detailed support to meet user needs, especially in the field of video content. Specifically, there has been a lack of systems that provide comprehensive support, from generating video content ideas and script writing support to providing advice on areas for improvement. As a result, users have had to carry out the creative process on their own, resulting in problems of poor efficiency and quality.

[0764] 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.

[0765] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts for video content based on the theme or request using a generative AI model, and a means for displaying the generated ideas and concepts for video content to the user. This allows users to easily obtain ideas for video content. Furthermore, the server then provides specific support for writing a scenario for the video content and even suggests improvements to existing content, enabling efficient and high-quality creative activities.

[0766] A "user" is someone who uses a system that supports creative activities.

[0767] A "topic or request" is a specific topic or request that a user inputs to the system.

[0768] A "means" is a mechanism or device for performing a specific function or process.

[0769] A "server" is a computer or group of computers that receives and processes requests from users.

[0770] A "generative artificial intelligence model" is an artificial intelligence algorithm for generating new ideas and concepts based on user input.

[0771] "Ideas and concepts" refer to plans and concepts for new video content.

[0772] "Video content" refers to information content that combines video and audio.

[0773] A "scenario" is a plan that provides a detailed description and outline of the video content.

[0774] "Feedback" refers to ratings and comments on user-created content.

[0775] "Improvement Advice" are specific suggestions for improving user-created content.

[0776] "Displaying" means visually presenting the generated information to a user.

[0777] This invention is a system that uses generative AI models to generate ideas for video content, support script writing, and provide improvement advice. The system includes a means for generating new ideas and concepts based on a theme or request entered by the user and displaying them to the user. It can also generate and display specific solutions and feedback based on details of a problem or existing work entered by the user.

[0778] System Configuration

[0779] The system is implemented by the following components:

[0780] User devices: Includes input devices such as smartphones and tablets.

[0781] Server: A computer or group of computers that runs the generative AI model and receives and sends data. For example, a high-performance server such as AWS EC2.

[0782] Generative AI models: Leverage advanced artificial intelligence models such as GPT-4.

[0783] Program processing flow

[0784] 1. Idea generation

[0785] A user uses a smartphone to input a topic or request, for example, "Give me ideas for a new YouTube video."

[0786] The user terminal generates a request to send this request to the server.

[0787] The server receives the request and passes the theme and requirements to the generative AI model.

[0788] The generative AI model generates new video content ideas and concepts based on themes and requests, such as "Introducing healthy breakfast menus using immune-boosting ingredients."

[0789] The server sends the generated idea to the user terminal as a response.

[0790] The user terminal receives the response and displays it to the user.

[0791] 2. Scenario writing support

[0792] The user inputs a request such as "I want you to write a scenario based on this idea."

[0793] The user terminal generates a request to send this request to the server.

[0794] The server receives the request and passes it on to the generative AI model.

[0795] The generative AI model generates specific scenarios, such as "Segment 1: Introduction, Segment 2: Ingredients Explanation, Segment 3: Cooking Process."

[0796] The server sends the generated scenario to the user terminal as a response.

[0797] The user terminal receives the response and displays it to the user.

[0798] 3. Advice for improvement

[0799] The user provides existing ideas, saying, "Please tell me how to improve this scenario."

[0800] The user terminal generates a request to send this request to the server.

[0801] The server receives the request and passes the idea to the generative AI model.

[0802] The generative AI model generates recommendations for improvement, such as "shorten the intro to grab the viewer's attention."

[0803] The server sends the generated advice to the user terminal as a response.

[0804] The user terminal receives the response and displays it to the user.

[0805] Specific examples

[0806] For example, if a user types into their smartphone, "Give me ideas for a new YouTube video," the generative AI model will generate specific ideas such as "Introducing a healthy breakfast menu using ingredients that boost the immune system." If the user then types, "Please write a scenario based on this idea," the model will present specific scenarios such as "Segment 1: Introduction, Segment 2: Ingredients explanation, Segment 3: Cooking process."

[0807] Example prompt sentence:

[0808] Do you have any ideas for new YouTube cooking videos?

[0809]

[0810] Write a script for this cooking video idea.

[0811]

[0812] How can I improve this scenario?

[0813] The above is an embodiment of the present invention. This system allows users to easily obtain ideas for video content as well as advice on how to improve it.

[0814] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0815] Step 1:

[0816] A user uses a smartphone to input a topic or request. For example, the user might input "Give me ideas for a new YouTube video." The input data is the topic or request in text format. The user device receives the input and generates a request to send to the server. This request includes the user ID and the input topic or request.

[0817] Step 2:

[0818] The server receives requests sent from the user's device and passes the theme or request to the generative AI model. The request data consists of the user ID and text data of the theme or request. The generative AI model analyzes this text data and generates ideas and concepts for new video content. During this process, the AI ​​model uses a large learning database to make new proposals while referring to related past ideas and concepts.

[0819] Step 3:

[0820] The ideas and concepts generated by the generative AI model are returned to the server, which generates a response to send the returned data to the user, including the user ID and the generated ideas and concepts.

[0821] Step 4:

[0822] The user device receives the response sent from the server and displays it to the user. The display is done on the smartphone screen, and the generated ideas and concepts are presented visually in an easy-to-understand manner. The user can view this to get ideas for new video content.

[0823] Step 5:

[0824] The user then inputs a further request, saying, "I want you to write a scenario based on this idea." Specifically, the user uses the input interface of the user terminal to send the request for writing a scenario in text format.

[0825] Step 6:

[0826] Again, the user device generates a request and sends it to the server, which then receives the request and passes it to the generative AI model.

[0827] Step 7:

[0828] The generative AI model generates a specific scenario based on the provided idea. The generated scenario data is returned in text format to the server. The server receives this data and generates a response to display to the user.

[0829] Step 8:

[0830] The user terminal receives the scenario response sent from the server and displays it to the user, who can then proceed with the creation of video content based on this scenario.

[0831] Step 9:

[0832] The user further inputs a request saying, "Please tell me how to improve this scenario." Specifically, the user inputs a text request into the user terminal, asking for suggestions for improving the existing scenario.

[0833] Step 10:

[0834] The user device generates a request to send this request to the server, which receives the request and passes it to the generative AI model to generate improvements to the scenario.

[0835] Step 11:

[0836] The generative AI model analyzes existing scenarios and generates specific suggestions for improvement, such as shortening the intro. The server then generates a response containing these suggestions and sends it to the user's device.

[0837] Step 12:

[0838] The user terminal receives the response of the improvement points sent from the server and displays it to the user, who can then further refine the content based on this improvement advice.

[0839] The above are the processing steps of the system that realizes the application example and the specific operations of each.

[0840] 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.

[0841] This invention is a system that supports creative activities using a generative artificial intelligence model and an emotion engine. Specifically, it has the functions of generating new ideas and concepts based on user input of themes and requirements, providing solutions and insights to complex problems, providing feedback and advice on improvements to works and ideas, and recognizing the user's emotions and making adjustments based on their state.

[0842] System Configuration

[0843] The system includes a user device, a server, a generative AI model, and an emotion engine. The user device can be a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[0844] Program processing flow

[0845] 1. Idea generation

[0846] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[0847] Terminal: Receives input topics and requests and generates requests to send them to the server.

[0848] Server: The server receives requests and passes data about the subject, request, and user state to the generative AI model and emotion engine.

[0849] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[0850] Generative AI model: Generates new ideas and concepts based on themes, requirements, and emotional states from the emotion engine. For example, it generates a story about a rebellion on a future Mars colony.

[0851] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[0852] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[0853] 2. Creative problem solving

[0854] User: The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[0855] Terminal: Receives the entered problem details and generates a request to send them to the server.

[0856] Server: The server receives the request and passes the problem details and user state data to the generative AI model and emotion engine.

[0857] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[0858] Generative AI model: Generates new insights and solutions based on problem details and emotional states from the emotion engine, such as "add visually appealing infographics" or "insert a story to appeal to emotions."

[0859] Server: Generates the generated insights and solutions as responses and sends them to the device.

[0860] Terminal: Receives the responses and displays them to the user, who can review and try out the generated insights and solutions.

[0861] 3. Providing criticism and feedback

[0862] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[0863] Terminal: Receives input works or ideas and generates requests to send them to the server.

[0864] Server: Receives requests and passes data about the work, idea, and user state to the generative AI model and emotion engine.

[0865] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[0866] Generative AI model: Generates specific feedback and advice for improvement based on the work, idea, and emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0867] Server: Generates the generated feedback and advice as a response and sends it to the device.

[0868] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[0869] Specific examples

[0870] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[0871] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[0872] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[0873] The processing flow will be explained below.

[0874] 1. Idea generation

[0875] Step 1:

[0876] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[0877] Step 2:

[0878] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[0879] Step 3:

[0880] The server receives requests sent from the device and passes the requests to the generative AI model.

[0881] Step 4:

[0882] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[0883] Step 5:

[0884] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[0885] Step 6:

[0886] The generative AI model generates new ideas and concepts based on the user's theme or request and emotional information from the emotion engine, for example, "A story about a rebellion breaking out on a future Mars colony."

[0887] Step 7:

[0888] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[0889] Step 8:

[0890] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[0891] 2. Creative problem solving

[0892] Step 1:

[0893] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[0894] Step 2:

[0895] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[0896] Step 3:

[0897] The server receives requests sent from the device and passes the requests to the generative AI model.

[0898] Step 4:

[0899] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[0900] Step 5:

[0901] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[0902] Step 6:

[0903] The generative AI model generates new insights and solutions based on the details of the user's problem and the emotional information from the emotion engine, such as "add a visually appealing infographic" or "insert a story to appeal to emotions."

[0904] Step 7:

[0905] The server generates the generated insights and solutions as a response and sends them to the terminal.

[0906] Step 8:

[0907] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[0908] 3. Providing criticism and feedback

[0909] Step 1:

[0910] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[0911] Step 2:

[0912] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[0913] Step 3:

[0914] The server receives requests sent from the device and passes the requests to the generative AI model.

[0915] Step 4:

[0916] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[0917] Step 5:

[0918] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[0919] Step 6:

[0920] The generative AI model generates specific feedback and advice for improvement based on the user's work or idea and emotional information from the emotion engine. For example, it might generate feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[0921] Step 7:

[0922] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[0923] Step 8:

[0924] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[0925] These are the specific processing steps in each process of the system.

[0926] Example 2

[0927] 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."

[0928] Conventional creative support systems often generate ideas, concepts, solutions, insights, and feedback that do not reflect the user's emotional state, resulting in insufficient support for maximizing stimulating creativity. Furthermore, lack of adjustments based on the user's emotional state can lead to lower user satisfaction and inefficient creative work. Therefore, there is a need for a system that can provide support tailored to the user's needs by recognizing the user's emotional state and adjusting the generation process of a generative AI model accordingly.

[0929] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for generating ideas and concepts based on a theme or requirement using a generative AI model, a means for recognizing the emotional state of a user using an emotion engine and adjusting the generation process of the generative AI model based on that state, and a means for displaying the generated ideas and concepts to the user. This allows new ideas, solutions, and feedback to be generated taking the user's emotional state into consideration, thereby improving user satisfaction and efficiently supporting creative activities.

[0930] A "theme" is a problem or topic that a user provides to the system, or a general content for which the user wishes to generate ideas.

[0931] A "request" is a specific need or request that a user provides to a system based on a specific purpose or condition.

[0932] A "server" is a computer or group of computers that receives and processes requests from user terminals over a network.

[0933] A "generative artificial intelligence model" is an artificial intelligence algorithm used to generate new ideas, solutions, and feedback based on user input.

[0934] An "emotion engine" is a technology that recognizes the user's emotional state and adjusts the system's behavior and output based on that state.

[0935] "Ideas" are creative outcomes such as new concepts, plots, and solutions generated by generative AI models.

[0936] A "concept" is an abstract idea or plan based on a theme that is generated by a generative AI model.

[0937] A "user" is an entity that uses the system to input topics and requirements and receives generated ideas, solutions, and feedback.

[0938] "Input means" refers to an interface or device through which a user inputs a topic, request, problem details, work, or idea into the system.

[0939] The "means for receiving and transmitting to the server" refers to a process or function for receiving data input by a user and transmitting it to the server.

[0940] "Generative means" refers to the ability to generate new ideas, solutions, and feedback using generative AI models and emotion engines.

[0941] The "display means" refers to an interface or device for visually presenting the generated results received from the server to the user.

[0942] The present invention is a system that provides creative ideas, solutions, and feedback based on user input. By combining a generative AI model and an emotion engine, it provides support that takes the user's emotional state into consideration. The system includes a user terminal, a server, a generative AI model, and an emotion engine. The user terminal consists of a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[0943] The system operation is outlined below.

[0944] (Idea generation)

[0945] A user inputs a theme or request into the system using the device's input interface. For example, the user might input, "Give me a plot idea for a new science fiction novel." The device receives the input theme or request and sends it to the server. The server receives the request and passes the theme or request, as well as data about the user's emotional state, to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new ideas and concepts based on the theme or request and the emotional state from the emotion engine. For example, it generates a story about a rebellion breaking out on a future Mars colony. The server generates the generated idea or concept as a response and sends it to the device. The device receives the response and displays it to the user.

[0946] (Creative problem solving)

[0947] A user uses a device to input details of the problem they want to solve. For example, they might input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The device receives the input problem details and sends them to the server. The server receives the request and passes data on the problem details and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new insights and solutions based on the problem details and the emotional state from the emotion engine. For example, it generates solutions such as "add a visually appealing infographic" or "insert a story to appeal to emotions." The server generates the generated insights and solutions as a response and sends it to the device. The device receives the response and displays it to the user.

[0948] (Providing criticism and feedback)

[0949] A user inputs their own work or idea into the device and requests feedback. For example, a user might input a poem such as, "I'd like to hear your thoughts on this poem." The device receives the input work or idea and sends it to the server. The server receives the request and passes data about the work or idea and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and transmits that information to the generative AI model. The generative AI model generates specific feedback and advice for improvement based on the work or idea and the emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery." The server generates the generated feedback and advice as a response and sends it to the device. The device receives the response and displays it to the user.

[0950] (Example)

[0951] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[0952] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[0953] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[0954] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0955] Step 1:

[0956] The user enters a topic or request into the device's input interface. For example, they might enter, "Give me some plot ideas for a new science fiction novel." The input format can be a text box or voice input. The user's input data is temporarily stored in the device's memory.

[0957] Step 2:

[0958] The device receives user input and generates a request to send the input data to the server. This request includes the input subject, request, and required metadata. Specific operations include generating and sending a POST request.

[0959] Step 3:

[0960] The server receives the request sent from the terminal and analyzes and extracts the input data from the request body. Through this analysis process, the user's input is recognized as a theme or request. The server then passes the extracted theme and request data to the next step.

[0961] Step 4:

[0962] The server passes data about the theme, request, and user's emotional state to the generative AI model and emotion engine. Specifically, it invokes the generative AI model and emotion engine using API calls and passes the required data as parameters. Metadata about the emotional state is generated based on, for example, past input data or user profile.

[0963] Step 5:

[0964] The emotion engine takes the data passed to it as input and analyzes and recognizes the user's emotional state. The emotion engine uses natural language processing techniques to extract the user's emotions from the input text. For example, it generates an emotion score such as stress, joy, or anticipation. This emotion data is fed back to the generative AI model.

[0965] Step 6:

[0966] The generative AI model generates new ideas and concepts based on themes, requests, and emotional data. Specifically, a text generation algorithm operates based on the generated prompt text to generate new story plots and concepts. For example, it could generate a story about a rebellion breaking out on a future Mars colony.

[0967] Step 7:

[0968] The server receives the results returned by the generative AI model, reformats them as a response body containing the generated ideas and concepts, and sends this response to the device as an HTTP response.

[0969] Step 8:

[0970] The device receives the response sent from the server and displays the generated ideas and concepts in the display area. Specific operations include analyzing the received data and updating the GUI for display. The user can check the results on the device screen.

[0971] This is the process flow of the system, which allows users to efficiently obtain creative ideas, solutions, and feedback that take into account their emotional state.

[0972] (Application example 2)

[0973] 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."

[0974] Improving production efficiency and work quality in modern factories requires providing quick and accurate solutions to problems faced by workers. However, conventional systems lack appropriate support based on the worker's emotional state, leading to serious issues such as mistakes caused by worker stress and fatigue and reduced production efficiency. In addition, the provision of new ideas and feedback for work improvement is limited, making it difficult to fully utilize workers' creativity.

[0975] 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 a means for the user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts based on the theme or request using a generative AI model, a means for recognizing the user's emotional state using an emotion engine and transmitting that information to the generative AI model, and a means for displaying the generated ideas and concepts to the user. This makes it possible to provide appropriate ideas and solutions according to the user's emotional state.

[0976] "User" refers to a person who uses the system to input details of a topic, request, or problem and receive generated ideas and solutions.

[0977] "Topic or Request" refers to a topic or specific request for generating ideas or concepts entered by a user.

[0978] "Server" refers to a computer or group of computers that receives themes, requests, and problem details sent by users and processes them using generative AI models and emotion engines.

[0979] A "generative artificial intelligence model" refers to an artificial intelligence algorithm that generates new ideas, concepts, and solutions based on user input.

[0980] "Emotion engine" refers to technology for recognizing a user's emotional state and communicating that information to a generative artificial intelligence model.

[0981] "Ideas and Concepts" refers to new thoughts and concepts generated by generative AI models.

[0982] "Solutions and insights" refer to solutions and new knowledge derived by generative AI models for problems faced by users.

[0983] "Feedback and improvement advice" refers to specific suggestions for evaluation and improvement of the work or idea input by the user, generated by the generative AI model.

[0984] "Emotional state" refers to the emotion a user feels while using the system, and this is recognized by the emotion engine.

[0985] "System" refers to a device or program that executes a series of processes that receive user input, process that information using a generative AI model and emotion engine, and display the results to the user.

[0986] This invention is a system that uses a generative AI model and an emotion engine to provide quick and accurate solutions, new ideas, and feedback to factory workers for problems they face. The system takes into account the user's emotional state and provides appropriate support.

[0987] The system consists of the following elements:

[0988] 1. User terminal: A device on which users input themes, requests, details of the problem, and their own works and ideas, including smartphones, tablets, and personal computers.

[0989] 2. Server: A computer or group of computers responsible for processing requests and running the generative AI model and emotion engine.

[0990] 3. Generative AI models: Artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[0991] 4. Emotion Engine: A technology for recognizing the user's emotional state and conveying that information to the generative AI model.

[0992] System Operation

[0993] 1. User Registration

[0994] Users log into the system through a terminal and input the theme, request, details of the problem, and their own work or idea.

[0995] 2. Enter your theme and requirements

[0996] The user uses the device's input interface to input a topic or request into the system, for example, "Please tell me how to improve the efficiency of our new manufacturing line." This input data is sent to the server, which then passes it on to the generative AI model and emotion engine.

[0997] 3. Recognizing emotional states

[0998] The emotion engine recognizes the user's emotional state. For example, if the user is feeling stressed, the emotion engine communicates this information to the generative AI model. The emotion engine uses software such as EmotionRecognition to analyze emotions.

[0999] 4. Idea and solution generation

[1000] The generative AI model generates ideas and solutions based on the input theme or request. By using prompts that reflect the user's emotional state, it can generate more appropriate and effective ideas and solutions. For example, if the emotion is "I'm feeling stressed," the generative AI model adjusts the prompt to "Please tell me how to improve the efficiency of our new manufacturing line. Please give me some calming advice."

[1001] 5. Displaying the results

[1002] The generated ideas and solutions are sent to the terminal via the server and displayed to the user, who can then confirm and implement the generated proposals.

[1003] Specific examples

[1004] For example, if a user types, "My presentation materials tend to be boring. Do you have any ideas for improving them?", and the emotion engine recognizes that the user is confident, the generative AI model will add, "Please give us your suggestions for further improvement." In this case, specific solutions such as "Add visually appealing infographics" or "Insert a story to appeal to emotions" will be displayed as generated ideas.

[1005] Prompt Sentence Examples

[1006] "How can we improve the efficiency of our new manufacturing line?"

[1007] "My presentation materials tend to be boring. Do you have any ideas for improving them?"

[1008] I'd like to hear your thoughts on this poem.

[1009] This system allows factory workers to find quick and accurate solutions to the various problems they face and receive appropriate support according to their emotions, which is expected to result in improved work efficiency and quality.

[1010] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1011] Step 1:

[1012] The user inputs a topic or request. The user inputs a topic or request using the terminal interface. For example, the user might input "Please tell me how to improve the efficiency of the new manufacturing line." This input data is sent from the terminal to the server through the input interface. The input data is in text format.

[1013] Step 2:

[1014] The device receives the input topic and request and sends it to the server. The device receives the text data entered by the user and sends it to the server in the form of an HTTP request or similar. No data processing is performed at this point.

[1015] Step 3:

[1016] The server sends the received data to an emotion recognition engine. The server passes the received user text data to an emotion recognition engine such as EmotionRecognition. The emotion recognition engine analyzes the text and recognizes the user's emotional state. The input is text data, and the output is the emotional state (e.g., stress, fatigue, confidence, etc.).

[1017] Step 4:

[1018] The server receives the results of the emotion recognition engine and sends them to the generative AI model. The server then transmits the emotional state information to the generative AI model. At this time, the prompt sentence is adjusted according to the emotional state. For example, if the emotional state is "stressed," the prompt sentence is changed to "Please tell me how to improve the efficiency of the new production line. Please give me some calming advice." The input is the emotional state and the original prompt sentence, and the output is the adjusted prompt sentence.

[1019] Step 5:

[1020] A generative AI model generates ideas and concepts based on the adjusted prompt. A generative AI model (e.g., GPT-3) generates new ideas and concepts based on the adjusted prompt. The input is the adjusted prompt, and the output is the generated text (ideas and concepts).

[1021] Step 6:

[1022] The server generates the generated ideas and concepts as a response and sends it to the terminal. The server sends the generated text data to the terminal in a response format (for example, JSON format). The input is the generated text data, and the output is the response data.

[1023] Step 7:

[1024] The terminal receives the response from the server and displays it to the user. The terminal analyzes the response data received from the server and displays the generated ideas and concepts to the user. The input is the response data, and the output is text data that is displayed on the user's screen. The user can check the generated ideas and concepts.

[1025] 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.

[1026] 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.

[1027] 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.

[1028] [Third embodiment]

[1029] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1030] 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.

[1031] 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).

[1032] 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.

[1033] 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.

[1034] 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).

[1035] 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.

[1036] 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.

[1037] 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.

[1038] 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.

[1039] 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.

[1040] 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."

[1041] The present invention is a system that supports creative activities using a generative artificial intelligence model. Specifically, it has functions that allow users to input a theme or request and generate new ideas and concepts based on it, provide solutions and insights to complex problems, and provide feedback and advice on improvements to works and ideas.

[1042] System Configuration

[1043] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[1044] Program processing flow

[1045] 1. Idea generation

[1046] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[1047] Terminal: Receives input topics and requests and generates requests to send them to the server.

[1048] Server: The server receives requests and passes themes and requirements to the generative AI model.

[1049] Generative AI model: Generates new ideas and concepts based on themes and requirements, such as "a story about a rebellion on a future Mars colony."

[1050] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[1051] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[1052] 2. Creative problem solving

[1053] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improving them?"

[1054] Terminal: Receives the entered problem details and generates a request to send them to the server.

[1055] Server: Receives the request and passes the problem details to the generative AI model.

[1056] Generative AI models generate new insights and perspectives on a problem, such as solutions like adding visually appealing infographics or inserting a story to appeal to emotions.

[1057] Server: Generates the generated solutions and insights as responses and sends them to the device.

[1058] Terminal: Receives the response and displays it to the user, who can then review and try out new insights and solutions.

[1059] 3. Providing criticism and feedback

[1060] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[1061] Terminal: Receives input works or ideas and generates requests to send them to the server.

[1062] Server: Receives requests and passes creations and ideas to the generative AI model.

[1063] Generative AI model: Generates specific feedback and advice for improvement on a work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1064] Server: Generates the generated feedback and advice as a response and sends it to the device.

[1065] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[1066] Specific examples

[1067] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model to generate plot ideas based on the request. The generated ideas are displayed to the user through the device, allowing them to obtain a new plot.

[1068] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The user can use these ideas to improve their presentation materials.

[1069] The present invention makes it possible to efficiently support creative activities and maximize the creativity of users.

[1070] The processing flow will be explained below.

[1071] 1. Idea generation

[1072] Step 1:

[1073] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[1074] Step 2:

[1075] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[1076] Step 3:

[1077] The server receives requests sent from the device and passes the requests to the generative AI model.

[1078] Step 4:

[1079] The generative AI model generates new ideas and concepts based on a user theme or request, such as "a story about a rebellion on a future Mars colony."

[1080] Step 5:

[1081] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[1082] Step 6:

[1083] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[1084] 2. Creative problem solving

[1085] Step 1:

[1086] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[1087] Step 2:

[1088] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[1089] Step 3:

[1090] The server receives requests sent from the device and passes the requests to the generative AI model.

[1091] Step 4:

[1092] Generative AI models generate new insights and solutions to user problems, such as adding visually appealing infographics or inserting stories to appeal to emotions.

[1093] Step 5:

[1094] The server generates the generated insights and solutions as a response and sends them to the terminal.

[1095] Step 6:

[1096] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[1097] 3. Providing criticism and feedback

[1098] Step 1:

[1099] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[1100] Step 2:

[1101] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[1102] Step 3:

[1103] The server receives requests sent from the device and passes the requests to the generative AI model.

[1104] Step 4:

[1105] The generative AI model generates specific feedback and advice for improvement for a user's work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1106] Step 5:

[1107] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[1108] Step 6:

[1109] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[1110] These are the specific processing steps in each process of the system.

[1111] Example 1

[1112] 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."

[1113] In modern society, there is a growing demand for support tools that allow users to carry out creative activities more efficiently and effectively. However, with conventional systems, it is often difficult for users to generate new ideas, concrete solutions, or obtain feedback and advice on improvements. In particular, there is a demand for an integrated and user-friendly system for generating ideas based on a theme, proposing concrete solutions to problems, and providing feedback on creative works. Therefore, it is necessary to provide a system that solves these issues and comprehensively supports users' creative activities.

[1114] 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.

[1115] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas or concepts based on the theme or request using a generative AI model, and a means for displaying the generated ideas or concepts to the user. This allows users to efficiently generate new ideas and concepts and engage in creative activities more effectively. Furthermore, by providing a function for proposing solutions to problems and a function for providing feedback, comprehensive support for users' creativity is realized.

[1116] "User" refers to an individual or organization that uses the system to input topics and requests in order to obtain new ideas and solutions.

[1117] A "theme" refers to a particular topic or concept specified by the user.

[1118] "Requirements" refer to the specific outputs or results that users expect from the system.

[1119] "Server" refers to a computer system that receives input from a user, processes it using a generative AI model, and returns the results to the user.

[1120] A "generative artificial intelligence model" refers to an artificial intelligence algorithm or machine learning model that generates new ideas, solutions, feedback, etc. based on user input.

[1121] "Ideas" refer to new concepts and creative hints generated by generative AI models.

[1122] A "concept" is an abstract idea or notion related to a topic or requirement.

[1123] "Challenge" refers to the problem or obstacle that the user wants to solve.

[1124] "Solution" refers to the specific countermeasure to the problem presented by the generative AI model.

[1125] "Insight" refers to information that provides a new perspective or understanding of a problem.

[1126] "Creative Works" refers to works or ideas created by Users themselves.

[1127] "Feedback" refers to the evaluation and considerations that the generative AI model provides to users' creations and ideas.

[1128] "Improvement advice" refers to suggestions and guidance for improving a user's creations or ideas.

[1129] The present invention is a system that generates new ideas and concepts based on user input of themes and requirements, a system that provides solutions and insights to problems the user wants to solve, and a system that provides feedback and advice on improvements to the user's creations and ideas. These systems are realized using generative AI models.

[1130] System Configuration

[1131] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[1132] Processing flow (overview)

[1133] When a user inputs a topic, request, problem to be solved, or creation or idea, the details are sent to the server, which uses a generative AI model to generate output (new ideas, solutions, feedback) based on those inputs and sends it back to the user's device, where they can view the results.

[1134] Example

[1135] Here, a specific usage scenario will be described as an example.

[1136] Idea generation

[1137] User: The user inputs the theme "Come up with a plot for a new science fiction novel" through the terminal.

[1138] Terminal: Generates a request to send input data to the server.

[1139] Server: Receives requests and passes them to the generative AI model.

[1140] Generative AI model: Generates new ideas, such as "A story about a rebellion on a future Mars colony."

[1141] Server: Sends the generated ideas to the device.

[1142] Terminal: displays the generated ideas to the user.

[1143] Resolving the issue

[1144] User: The user enters an issue, saying, "My presentations tend to be boring. Any ideas for improving them?"

[1145] Terminal: Generates a request to send input data to the server.

[1146] Server: Receives requests and passes them to the generative AI model.

[1147] Generative AI models generate solutions such as "add visually appealing infographics."

[1148] Server: Sends the generated solution to the device.

[1149] Terminal: Displays the results to the user.

[1150] Providing Feedback

[1151] User: The user enters their own poem and says, "I'd like to hear your thoughts on this poem."

[1152] Terminal: Generates a request to send input data to the server.

[1153] Server: Receives requests and passes them to the generative AI model.

[1154] The generative AI model generates feedback such as, "The theme of the poem is inspiring, but the third stanza is too abstract. It would be better if you added more concrete imagery."

[1155] Server: Sends the generated feedback to the device.

[1156] Terminal: Display feedback to the user.

[1157] Prompt Sentence Examples

[1158] You can utilize the system's capabilities by inputting the following prompt sentences into the generative AI model:

[1159] 1. "Generate plot ideas for a new science fiction novel."

[1160] 2. "My presentations tend to be boring. Can you give me some ideas on how to improve them?"

[1161] 3. "Please give me feedback on this poem."

[1162] As described above, the present invention makes it possible to comprehensively support users' creative activities and provide specific and useful ideas, solutions, and feedback using generative AI models.

[1163] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1164] Idea generation

[1165] Step 1:

[1166] User: The user uses the device's input interface to enter a topic, for example, "Think of a plot for a new science fiction novel."

[1167] Input: Text entered by the user.

[1168] Specific behavior: The user enters text into the input form and clicks the "Submit" button.

[1169] Output: The input text data.

[1170] Step 2:

[1171] Terminal: The terminal receives the user's input and generates an HTTP request to send it to the server.

[1172] Input: The text data entered.

[1173] Specific behavior: The form's submit event is triggered, the input data is formatted in JSON format, and sent to the server as a POST request.

[1174] Output: A POST request to the server.

[1175] Step 3:

[1176] Server: The server receives the HTTP request from the device and analyzes the request data.

[1177] Input: The HTTP request sent from the device.

[1178] Specific operation: The server-side endpoint catches the request, analyzes it, and prepares it to be passed to the generative AI model.

[1179] Output: The parsed request data.

[1180] Step 4:

[1181] Generative AI model: A generative AI model generates new ideas based on a given theme, such as "A story about a rebellion breaking out on a Mars colony in the future."

[1182] Input: The parsed request data.

[1183] What it does: The AI ​​model uses its internal algorithms to generate text related to the topic.

[1184] Output: Generated ideas.

[1185] Step 5:

[1186] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[1187] Input: Generated ideas.

[1188] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[1189] Output: HTTP response to the device.

[1190] Step 6:

[1191] Terminal: The terminal receives the response from the server and displays it to the user, who can then check the generated ideas.

[1192] Input: The HTTP response from the server.

[1193] What happens: The device renders the received data into HTML or other display format and displays the results on the screen.

[1194] Output: The results displayed to the user.

[1195] Resolving the issue

[1196] Step 1:

[1197] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improvement?"

[1198] Input: Text entered by the user.

[1199] What happens: The user fills in the form with details about the problem and clicks the "Submit" button.

[1200] Output: The input text data.

[1201] Step 2:

[1202] Terminal: The terminal receives the entered problem details and generates an HTTP request to send them to the server.

[1203] Input: The text data entered.

[1204] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[1205] Output: A POST request to the server.

[1206] Step 3:

[1207] Server: The server receives the HTTP request from the device and analyzes the request data.

[1208] Input: The HTTP request sent from the device.

[1209] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[1210] Output: The parsed request data.

[1211] Step 4:

[1212] Generative AI models: Generative AI models generate new insights and solutions to problems, for example, "add visually appealing infographics."

[1213] Input: The parsed request data.

[1214] What it does: The AI ​​model applies algorithms based on input data to generate new solutions.

[1215] Output: The generated solution.

[1216] Step 5:

[1217] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[1218] Input: The generated solution.

[1219] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[1220] Output: HTTP response to the device.

[1221] Step 6:

[1222] Terminal: The terminal receives the response from the server and displays it to the user, who can then view the new solution.

[1223] Input: The HTTP response from the server.

[1224] What happens: The device renders the received data into a display format and displays the result on the screen.

[1225] Output: The results displayed to the user.

[1226] Providing Feedback

[1227] Step 1:

[1228] User: A user enters their own work or idea into the device and asks for feedback. For example, they might enter, "I'd like to hear your thoughts on this poem."

[1229] Input: Text entered by the user.

[1230] Specific actions: The user enters their work or idea into the input form and clicks the "Submit" button.

[1231] Output: The input text data.

[1232] Step 2:

[1233] Terminal: The terminal receives the input work or idea and generates an HTTP request to send it to the server.

[1234] Input: The text data entered.

[1235] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[1236] Output: A POST request to the server.

[1237] Step 3:

[1238] Server: The server receives the HTTP request from the device and analyzes the request data.

[1239] Input: The HTTP request sent from the device.

[1240] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[1241] Output: The parsed request data.

[1242] Step 4:

[1243] Generative AI model: The generative AI model generates specific feedback and advice for improvement on your work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1244] Input: The parsed request data.

[1245] What happens: The AI ​​model uses its internal algorithms to start the generation process and generate the feedback text.

[1246] Output: The generated feedback.

[1247] Step 5:

[1248] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[1249] Input: The generated feedback.

[1250] Specific operation: The server wraps the generated feedback in an HTTP response and sends it back to the device.

[1251] Output: HTTP response to the device.

[1252] Step 6:

[1253] Device: The device receives the response from the server and displays it to the user, who can then use the feedback to improve their work.

[1254] Input: The HTTP response from the server.

[1255] What happens: The device renders the received feedback into a display format and displays the data to the user.

[1256] Output: The results displayed to the user.

[1257] (Application example 1)

[1258] 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."

[1259] Conventional creative activity support systems often only generate ideas and concepts, and it has been difficult to provide detailed support to meet user needs, especially in the field of video content. Specifically, there has been a lack of systems that provide comprehensive support, from generating video content ideas and script writing support to providing advice on areas for improvement. As a result, users have had to carry out the creative process on their own, resulting in problems of poor efficiency and quality.

[1260] 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.

[1261] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts for video content based on the theme or request using a generative AI model, and a means for displaying the generated ideas and concepts for video content to the user. This allows users to easily obtain ideas for video content. Furthermore, the server then provides specific support for writing a scenario for the video content and even suggests improvements to existing content, enabling efficient and high-quality creative activities.

[1262] A "user" is someone who uses a system that supports creative activities.

[1263] A "topic or request" is a specific topic or request that a user inputs to the system.

[1264] A "means" is a mechanism or device for performing a specific function or process.

[1265] A "server" is a computer or group of computers that receives and processes requests from users.

[1266] A "generative artificial intelligence model" is an artificial intelligence algorithm for generating new ideas and concepts based on user input.

[1267] "Ideas and concepts" refer to plans and concepts for new video content.

[1268] "Video content" refers to information content that combines video and audio.

[1269] A "scenario" is a plan that provides a detailed description and outline of the video content.

[1270] "Feedback" refers to ratings and comments on user-created content.

[1271] "Improvement Advice" are specific suggestions for improving user-created content.

[1272] "Displaying" means visually presenting the generated information to a user.

[1273] This invention is a system that uses generative AI models to generate ideas for video content, support script writing, and provide improvement advice. The system includes a means for generating new ideas and concepts based on a theme or request entered by the user and displaying them to the user. It can also generate and display specific solutions and feedback based on details of a problem or existing work entered by the user.

[1274] System Configuration

[1275] The system is implemented by the following components:

[1276] User devices: Includes input devices such as smartphones and tablets.

[1277] Server: A computer or group of computers that runs the generative AI model and receives and sends data. For example, a high-performance server such as AWS EC2.

[1278] Generative AI models: Leverage advanced artificial intelligence models such as GPT-4.

[1279] Program processing flow

[1280] 1. Idea generation

[1281] A user uses a smartphone to input a topic or request, for example, "Give me ideas for a new YouTube video."

[1282] The user terminal generates a request to send this request to the server.

[1283] The server receives the request and passes the theme and requirements to the generative AI model.

[1284] The generative AI model generates new video content ideas and concepts based on themes and requests, such as "Introducing healthy breakfast menus using immune-boosting ingredients."

[1285] The server sends the generated idea to the user terminal as a response.

[1286] The user terminal receives the response and displays it to the user.

[1287] 2. Scenario writing support

[1288] The user inputs a request such as "I want you to write a scenario based on this idea."

[1289] The user terminal generates a request to send this request to the server.

[1290] The server receives the request and passes it on to the generative AI model.

[1291] The generative AI model generates specific scenarios, such as "Segment 1: Introduction, Segment 2: Ingredients Explanation, Segment 3: Cooking Process."

[1292] The server sends the generated scenario to the user terminal as a response.

[1293] The user terminal receives the response and displays it to the user.

[1294] 3. Advice for improvement

[1295] The user provides existing ideas, saying, "Please tell me how to improve this scenario."

[1296] The user terminal generates a request to send this request to the server.

[1297] The server receives the request and passes the idea to the generative AI model.

[1298] The generative AI model generates recommendations for improvement, such as "shorten the intro to grab the viewer's attention."

[1299] The server sends the generated advice to the user terminal as a response.

[1300] The user terminal receives the response and displays it to the user.

[1301] Specific examples

[1302] For example, if a user types into their smartphone, "Give me ideas for a new YouTube video," the generative AI model will generate specific ideas such as "Introducing a healthy breakfast menu using ingredients that boost the immune system." If the user then types, "Please write a scenario based on this idea," the model will present specific scenarios such as "Segment 1: Introduction, Segment 2: Ingredients explanation, Segment 3: Cooking process."

[1303] Example prompt sentence:

[1304] Do you have any ideas for new YouTube cooking videos?

[1305]

[1306] Write a script for this cooking video idea.

[1307]

[1308] How can I improve this scenario?

[1309] The above is an embodiment of the present invention. This system allows users to easily obtain ideas for video content as well as advice on how to improve it.

[1310] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1311] Step 1:

[1312] A user uses a smartphone to input a topic or request. For example, the user might input "Give me ideas for a new YouTube video." The input data is the topic or request in text format. The user device receives the input and generates a request to send to the server. This request includes the user ID and the input topic or request.

[1313] Step 2:

[1314] The server receives requests sent from the user's device and passes the theme or request to the generative AI model. The request data consists of the user ID and text data of the theme or request. The generative AI model analyzes this text data and generates ideas and concepts for new video content. During this process, the AI ​​model uses a large learning database to make new proposals while referring to related past ideas and concepts.

[1315] Step 3:

[1316] The ideas and concepts generated by the generative AI model are returned to the server, which generates a response to send the returned data to the user, including the user ID and the generated ideas and concepts.

[1317] Step 4:

[1318] The user device receives the response sent from the server and displays it to the user. The display is done on the smartphone screen, and the generated ideas and concepts are presented visually in an easy-to-understand manner. The user can view this to get ideas for new video content.

[1319] Step 5:

[1320] The user then inputs a further request, saying, "I want you to write a scenario based on this idea." Specifically, the user uses the input interface of the user terminal to send the request for writing a scenario in text format.

[1321] Step 6:

[1322] Again, the user device generates a request and sends it to the server, which then receives the request and passes it to the generative AI model.

[1323] Step 7:

[1324] The generative AI model generates a specific scenario based on the provided idea. The generated scenario data is returned in text format to the server. The server receives this data and generates a response to display to the user.

[1325] Step 8:

[1326] The user terminal receives the scenario response sent from the server and displays it to the user, who can then proceed with the creation of video content based on this scenario.

[1327] Step 9:

[1328] The user further inputs a request saying, "Please tell me how to improve this scenario." Specifically, the user inputs a text request into the user terminal, asking for suggestions for improving the existing scenario.

[1329] Step 10:

[1330] The user device generates a request to send this request to the server, which receives the request and passes it to the generative AI model to generate improvements to the scenario.

[1331] Step 11:

[1332] The generative AI model analyzes existing scenarios and generates specific suggestions for improvement, such as shortening the intro. The server then generates a response containing these suggestions and sends it to the user's device.

[1333] Step 12:

[1334] The user terminal receives the response of the improvement points sent from the server and displays it to the user, who can then further refine the content based on this improvement advice.

[1335] The above are the processing steps of the system that realizes the application example and the specific operations of each.

[1336] 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.

[1337] This invention is a system that supports creative activities using a generative artificial intelligence model and an emotion engine. Specifically, it has the functions of generating new ideas and concepts based on user input of themes and requirements, providing solutions and insights to complex problems, providing feedback and advice on improvements to works and ideas, and recognizing the user's emotions and making adjustments based on their state.

[1338] System Configuration

[1339] The system includes a user device, a server, a generative AI model, and an emotion engine. The user device can be a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[1340] Program processing flow

[1341] 1. Idea generation

[1342] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[1343] Terminal: Receives input topics and requests and generates requests to send them to the server.

[1344] Server: The server receives requests and passes data about the subject, request, and user state to the generative AI model and emotion engine.

[1345] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[1346] Generative AI model: Generates new ideas and concepts based on themes, requirements, and emotional states from the emotion engine. For example, it generates a story about a rebellion on a future Mars colony.

[1347] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[1348] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[1349] 2. Creative problem solving

[1350] User: The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[1351] Terminal: Receives the entered problem details and generates a request to send them to the server.

[1352] Server: The server receives the request and passes the problem details and user state data to the generative AI model and emotion engine.

[1353] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[1354] Generative AI model: Generates new insights and solutions based on problem details and emotional states from the emotion engine, such as "add visually appealing infographics" or "insert a story to appeal to emotions."

[1355] Server: Generates the generated insights and solutions as responses and sends them to the device.

[1356] Terminal: Receives the responses and displays them to the user, who can review and try out the generated insights and solutions.

[1357] 3. Providing criticism and feedback

[1358] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[1359] Terminal: Receives input works or ideas and generates requests to send them to the server.

[1360] Server: Receives requests and passes data about the work, idea, and user state to the generative AI model and emotion engine.

[1361] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[1362] Generative AI model: Generates specific feedback and advice for improvement based on the work, idea, and emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1363] Server: Generates the generated feedback and advice as a response and sends it to the device.

[1364] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[1365] Specific examples

[1366] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[1367] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[1368] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[1369] The processing flow will be explained below.

[1370] 1. Idea generation

[1371] Step 1:

[1372] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[1373] Step 2:

[1374] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[1375] Step 3:

[1376] The server receives requests sent from the device and passes the requests to the generative AI model.

[1377] Step 4:

[1378] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[1379] Step 5:

[1380] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[1381] Step 6:

[1382] The generative AI model generates new ideas and concepts based on the user's theme or request and emotional information from the emotion engine, for example, "A story about a rebellion breaking out on a future Mars colony."

[1383] Step 7:

[1384] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[1385] Step 8:

[1386] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[1387] 2. Creative problem solving

[1388] Step 1:

[1389] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[1390] Step 2:

[1391] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[1392] Step 3:

[1393] The server receives requests sent from the device and passes the requests to the generative AI model.

[1394] Step 4:

[1395] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[1396] Step 5:

[1397] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[1398] Step 6:

[1399] The generative AI model generates new insights and solutions based on the details of the user's problem and the emotional information from the emotion engine, such as "add a visually appealing infographic" or "insert a story to appeal to emotions."

[1400] Step 7:

[1401] The server generates the generated insights and solutions as a response and sends them to the terminal.

[1402] Step 8:

[1403] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[1404] 3. Providing criticism and feedback

[1405] Step 1:

[1406] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[1407] Step 2:

[1408] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[1409] Step 3:

[1410] The server receives requests sent from the device and passes the requests to the generative AI model.

[1411] Step 4:

[1412] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[1413] Step 5:

[1414] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[1415] Step 6:

[1416] The generative AI model generates specific feedback and advice for improvement based on the user's work or idea and emotional information from the emotion engine. For example, it might generate feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1417] Step 7:

[1418] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[1419] Step 8:

[1420] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[1421] These are the specific processing steps in each process of the system.

[1422] Example 2

[1423] 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."

[1424] Conventional creative support systems often generate ideas, concepts, solutions, insights, and feedback that do not reflect the user's emotional state, resulting in insufficient support for maximizing stimulating creativity. Furthermore, lack of adjustments based on the user's emotional state can lead to lower user satisfaction and inefficient creative work. Therefore, there is a need for a system that can provide support tailored to the user's needs by recognizing the user's emotional state and adjusting the generation process of a generative AI model accordingly.

[1425] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for generating ideas and concepts based on a theme or requirement using a generative AI model, a means for recognizing the emotional state of a user using an emotion engine and adjusting the generation process of the generative AI model based on that state, and a means for displaying the generated ideas and concepts to the user. This allows new ideas, solutions, and feedback to be generated taking the user's emotional state into consideration, thereby improving user satisfaction and efficiently supporting creative activities.

[1426] A "theme" is a problem or topic that a user provides to the system, or a general content for which the user wishes to generate ideas.

[1427] A "request" is a specific need or request that a user provides to a system based on a specific purpose or condition.

[1428] A "server" is a computer or group of computers that receives and processes requests from user terminals over a network.

[1429] A "generative artificial intelligence model" is an artificial intelligence algorithm used to generate new ideas, solutions, and feedback based on user input.

[1430] An "emotion engine" is a technology that recognizes the user's emotional state and adjusts the system's behavior and output based on that state.

[1431] "Ideas" are creative outcomes such as new concepts, plots, and solutions generated by generative AI models.

[1432] A "concept" is an abstract idea or plan based on a theme that is generated by a generative AI model.

[1433] A "user" is an entity that uses the system to input topics and requirements and receives generated ideas, solutions, and feedback.

[1434] "Input means" refers to an interface or device through which a user inputs a topic, request, problem details, work, or idea into the system.

[1435] The "means for receiving and transmitting to the server" refers to a process or function for receiving data input by a user and transmitting it to the server.

[1436] "Generative means" refers to the ability to generate new ideas, solutions, and feedback using generative AI models and emotion engines.

[1437] The "display means" refers to an interface or device for visually presenting the generated results received from the server to the user.

[1438] The present invention is a system that provides creative ideas, solutions, and feedback based on user input. By combining a generative AI model and an emotion engine, it provides support that takes the user's emotional state into consideration. The system includes a user terminal, a server, a generative AI model, and an emotion engine. The user terminal consists of a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[1439] The system operation is outlined below.

[1440] (Idea generation)

[1441] A user inputs a theme or request into the system using the device's input interface. For example, the user might input, "Give me a plot idea for a new science fiction novel." The device receives the input theme or request and sends it to the server. The server receives the request and passes the theme or request, as well as data about the user's emotional state, to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new ideas and concepts based on the theme or request and the emotional state from the emotion engine. For example, it generates a story about a rebellion breaking out on a future Mars colony. The server generates the generated idea or concept as a response and sends it to the device. The device receives the response and displays it to the user.

[1442] (Creative problem solving)

[1443] A user uses a device to input details of the problem they want to solve. For example, they might input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The device receives the input problem details and sends them to the server. The server receives the request and passes data on the problem details and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new insights and solutions based on the problem details and the emotional state from the emotion engine. For example, it generates solutions such as "add a visually appealing infographic" or "insert a story to appeal to emotions." The server generates the generated insights and solutions as a response and sends it to the device. The device receives the response and displays it to the user.

[1444] (Providing criticism and feedback)

[1445] A user inputs their own work or idea into the device and requests feedback. For example, a user might input a poem such as, "I'd like to hear your thoughts on this poem." The device receives the input work or idea and sends it to the server. The server receives the request and passes data about the work or idea and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and transmits that information to the generative AI model. The generative AI model generates specific feedback and advice for improvement based on the work or idea and the emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery." The server generates the generated feedback and advice as a response and sends it to the device. The device receives the response and displays it to the user.

[1446] (Example)

[1447] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[1448] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[1449] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[1450] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1451] Step 1:

[1452] The user enters a topic or request into the device's input interface. For example, they might enter, "Give me some plot ideas for a new science fiction novel." The input format can be a text box or voice input. The user's input data is temporarily stored in the device's memory.

[1453] Step 2:

[1454] The device receives user input and generates a request to send the input data to the server. This request includes the input subject, request, and required metadata. Specific operations include generating and sending a POST request.

[1455] Step 3:

[1456] The server receives the request sent from the terminal and analyzes and extracts the input data from the request body. Through this analysis process, the user's input is recognized as a theme or request. The server then passes the extracted theme and request data to the next step.

[1457] Step 4:

[1458] The server passes data about the theme, request, and user's emotional state to the generative AI model and emotion engine. Specifically, it invokes the generative AI model and emotion engine using API calls and passes the required data as parameters. Metadata about the emotional state is generated based on, for example, past input data or user profile.

[1459] Step 5:

[1460] The emotion engine takes the data passed to it as input and analyzes and recognizes the user's emotional state. The emotion engine uses natural language processing techniques to extract the user's emotions from the input text. For example, it generates an emotion score such as stress, joy, or anticipation. This emotion data is fed back to the generative AI model.

[1461] Step 6:

[1462] The generative AI model generates new ideas and concepts based on themes, requests, and emotional data. Specifically, a text generation algorithm operates based on the generated prompt text to generate new story plots and concepts. For example, it could generate a story about a rebellion breaking out on a future Mars colony.

[1463] Step 7:

[1464] The server receives the results returned by the generative AI model, reformats them as a response body containing the generated ideas and concepts, and sends this response to the device as an HTTP response.

[1465] Step 8:

[1466] The device receives the response sent from the server and displays the generated ideas and concepts in the display area. Specific operations include analyzing the received data and updating the GUI for display. The user can check the results on the device screen.

[1467] This is the process flow of the system, which allows users to efficiently obtain creative ideas, solutions, and feedback that take into account their emotional state.

[1468] (Application example 2)

[1469] 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."

[1470] Improving production efficiency and work quality in modern factories requires providing quick and accurate solutions to problems faced by workers. However, conventional systems lack appropriate support based on the worker's emotional state, leading to serious issues such as mistakes caused by worker stress and fatigue and reduced production efficiency. In addition, the provision of new ideas and feedback for work improvement is limited, making it difficult to fully utilize workers' creativity.

[1471] 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 a means for the user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts based on the theme or request using a generative AI model, a means for recognizing the user's emotional state using an emotion engine and transmitting that information to the generative AI model, and a means for displaying the generated ideas and concepts to the user. This makes it possible to provide appropriate ideas and solutions according to the user's emotional state.

[1472] "User" refers to a person who uses the system to input details of a topic, request, or problem and receive generated ideas and solutions.

[1473] "Topic or Request" refers to a topic or specific request for generating ideas or concepts entered by a user.

[1474] "Server" refers to a computer or group of computers that receives themes, requests, and problem details sent by users and processes them using generative AI models and emotion engines.

[1475] A "generative artificial intelligence model" refers to an artificial intelligence algorithm that generates new ideas, concepts, and solutions based on user input.

[1476] "Emotion engine" refers to technology for recognizing a user's emotional state and communicating that information to a generative artificial intelligence model.

[1477] "Ideas and Concepts" refers to new thoughts and concepts generated by generative AI models.

[1478] "Solutions and insights" refer to solutions and new knowledge derived by generative AI models for problems faced by users.

[1479] "Feedback and improvement advice" refers to specific suggestions for evaluation and improvement of the work or idea input by the user, generated by the generative AI model.

[1480] "Emotional state" refers to the emotion a user feels while using the system, and this is recognized by the emotion engine.

[1481] "System" refers to a device or program that executes a series of processes that receive user input, process that information using a generative AI model and emotion engine, and display the results to the user.

[1482] This invention is a system that uses a generative AI model and an emotion engine to provide quick and accurate solutions, new ideas, and feedback to factory workers for problems they face. The system takes into account the user's emotional state and provides appropriate support.

[1483] The system consists of the following elements:

[1484] 1. User terminal: A device on which users input themes, requests, details of the problem, and their own works and ideas, including smartphones, tablets, and personal computers.

[1485] 2. Server: A computer or group of computers responsible for processing requests and running the generative AI model and emotion engine.

[1486] 3. Generative AI models: Artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[1487] 4. Emotion Engine: A technology for recognizing the user's emotional state and conveying that information to the generative AI model.

[1488] System Operation

[1489] 1. User Registration

[1490] Users log into the system through a terminal and input the theme, request, details of the problem, and their own work or idea.

[1491] 2. Enter your theme and requirements

[1492] The user uses the device's input interface to input a topic or request into the system, for example, "Please tell me how to improve the efficiency of our new manufacturing line." This input data is sent to the server, which then passes it on to the generative AI model and emotion engine.

[1493] 3. Recognizing emotional states

[1494] The emotion engine recognizes the user's emotional state. For example, if the user is feeling stressed, the emotion engine communicates this information to the generative AI model. The emotion engine uses software such as EmotionRecognition to analyze emotions.

[1495] 4. Idea and solution generation

[1496] The generative AI model generates ideas and solutions based on the input theme or request. By using prompts that reflect the user's emotional state, it can generate more appropriate and effective ideas and solutions. For example, if the emotion is "I'm feeling stressed," the generative AI model adjusts the prompt to "Please tell me how to improve the efficiency of our new manufacturing line. Please give me some calming advice."

[1497] 5. Displaying the results

[1498] The generated ideas and solutions are sent to the terminal via the server and displayed to the user, who can then confirm and implement the generated proposals.

[1499] Specific examples

[1500] For example, if a user types, "My presentation materials tend to be boring. Do you have any ideas for improving them?", and the emotion engine recognizes that the user is confident, the generative AI model will add, "Please give us your suggestions for further improvement." In this case, specific solutions such as "Add visually appealing infographics" or "Insert a story to appeal to emotions" will be displayed as generated ideas.

[1501] Prompt Sentence Examples

[1502] "How can we improve the efficiency of our new manufacturing line?"

[1503] "My presentation materials tend to be boring. Do you have any ideas for improving them?"

[1504] I'd like to hear your thoughts on this poem.

[1505] This system allows factory workers to find quick and accurate solutions to the various problems they face and receive appropriate support according to their emotions, which is expected to result in improved work efficiency and quality.

[1506] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1507] Step 1:

[1508] The user inputs a topic or request. The user inputs a topic or request using the terminal interface. For example, the user might input "Please tell me how to improve the efficiency of the new manufacturing line." This input data is sent from the terminal to the server through the input interface. The input data is in text format.

[1509] Step 2:

[1510] The device receives the input topic and request and sends it to the server. The device receives the text data entered by the user and sends it to the server in the form of an HTTP request or similar. No data processing is performed at this point.

[1511] Step 3:

[1512] The server sends the received data to an emotion recognition engine. The server passes the received user text data to an emotion recognition engine such as EmotionRecognition. The emotion recognition engine analyzes the text and recognizes the user's emotional state. The input is text data, and the output is the emotional state (e.g., stress, fatigue, confidence, etc.).

[1513] Step 4:

[1514] The server receives the results of the emotion recognition engine and sends them to the generative AI model. The server then transmits the emotional state information to the generative AI model. At this time, the prompt sentence is adjusted according to the emotional state. For example, if the emotional state is "stressed," the prompt sentence is changed to "Please tell me how to improve the efficiency of the new production line. Please give me some calming advice." The input is the emotional state and the original prompt sentence, and the output is the adjusted prompt sentence.

[1515] Step 5:

[1516] A generative AI model generates ideas and concepts based on the adjusted prompt. A generative AI model (e.g., GPT-3) generates new ideas and concepts based on the adjusted prompt. The input is the adjusted prompt, and the output is the generated text (ideas and concepts).

[1517] Step 6:

[1518] The server generates the generated ideas and concepts as a response and sends it to the terminal. The server sends the generated text data to the terminal in a response format (for example, JSON format). The input is the generated text data, and the output is the response data.

[1519] Step 7:

[1520] The terminal receives the response from the server and displays it to the user. The terminal analyzes the response data received from the server and displays the generated ideas and concepts to the user. The input is the response data, and the output is text data that is displayed on the user's screen. The user can check the generated ideas and concepts.

[1521] 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.

[1522] 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.

[1523] 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.

[1524] [Fourth embodiment]

[1525] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1526] 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.

[1527] 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).

[1528] 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.

[1529] 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.

[1530] 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).

[1531] 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.

[1532] 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.

[1533] 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.

[1534] 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.

[1535] 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.

[1536] 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.

[1537] 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."

[1538] The present invention is a system that supports creative activities using a generative artificial intelligence model. Specifically, it has functions that allow users to input a theme or request and generate new ideas and concepts based on it, provide solutions and insights to complex problems, and provide feedback and advice on improvements to works and ideas.

[1539] System Configuration

[1540] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[1541] Program processing flow

[1542] 1. Idea generation

[1543] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[1544] Terminal: Receives input topics and requests and generates requests to send them to the server.

[1545] Server: The server receives requests and passes themes and requirements to the generative AI model.

[1546] Generative AI model: Generates new ideas and concepts based on themes and requirements, such as "a story about a rebellion on a future Mars colony."

[1547] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[1548] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[1549] 2. Creative problem solving

[1550] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improving them?"

[1551] Terminal: Receives the entered problem details and generates a request to send them to the server.

[1552] Server: Receives the request and passes the problem details to the generative AI model.

[1553] Generative AI models generate new insights and perspectives on a problem, such as solutions like adding visually appealing infographics or inserting a story to appeal to emotions.

[1554] Server: Generates the generated solutions and insights as responses and sends them to the device.

[1555] Terminal: Receives the response and displays it to the user, who can then review and try out new insights and solutions.

[1556] 3. Providing criticism and feedback

[1557] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[1558] Terminal: Receives input works or ideas and generates requests to send them to the server.

[1559] Server: Receives requests and passes creations and ideas to the generative AI model.

[1560] Generative AI model: Generates specific feedback and advice for improvement on a work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1561] Server: Generates the generated feedback and advice as a response and sends it to the device.

[1562] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[1563] Specific examples

[1564] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model to generate plot ideas based on the request. The generated ideas are displayed to the user through the device, allowing them to obtain a new plot.

[1565] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The user can use these ideas to improve their presentation materials.

[1566] The present invention makes it possible to efficiently support creative activities and maximize the creativity of users.

[1567] The processing flow will be explained below.

[1568] 1. Idea generation

[1569] Step 1:

[1570] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[1571] Step 2:

[1572] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[1573] Step 3:

[1574] The server receives requests sent from the device and passes the requests to the generative AI model.

[1575] Step 4:

[1576] The generative AI model generates new ideas and concepts based on a user theme or request, such as "a story about a rebellion on a future Mars colony."

[1577] Step 5:

[1578] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[1579] Step 6:

[1580] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[1581] 2. Creative problem solving

[1582] Step 1:

[1583] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[1584] Step 2:

[1585] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[1586] Step 3:

[1587] The server receives requests sent from the device and passes the requests to the generative AI model.

[1588] Step 4:

[1589] Generative AI models generate new insights and solutions to user problems, such as adding visually appealing infographics or inserting stories to appeal to emotions.

[1590] Step 5:

[1591] The server generates the generated insights and solutions as a response and sends them to the terminal.

[1592] Step 6:

[1593] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[1594] 3. Providing criticism and feedback

[1595] Step 1:

[1596] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[1597] Step 2:

[1598] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[1599] Step 3:

[1600] The server receives requests sent from the device and passes the requests to the generative AI model.

[1601] Step 4:

[1602] The generative AI model generates specific feedback and advice for improvement for a user's work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1603] Step 5:

[1604] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[1605] Step 6:

[1606] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[1607] These are the specific processing steps in each process of the system.

[1608] Example 1

[1609] 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."

[1610] In modern society, there is a growing demand for support tools that allow users to carry out creative activities more efficiently and effectively. However, with conventional systems, it is often difficult for users to generate new ideas, concrete solutions, or obtain feedback and advice on improvements. In particular, there is a demand for an integrated and user-friendly system for generating ideas based on a theme, proposing concrete solutions to problems, and providing feedback on creative works. Therefore, it is necessary to provide a system that solves these issues and comprehensively supports users' creative activities.

[1611] 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.

[1612] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas or concepts based on the theme or request using a generative AI model, and a means for displaying the generated ideas or concepts to the user. This allows users to efficiently generate new ideas and concepts and engage in creative activities more effectively. Furthermore, by providing a function for proposing solutions to problems and a function for providing feedback, comprehensive support for users' creativity is realized.

[1613] "User" refers to an individual or organization that uses the system to input topics and requests in order to obtain new ideas and solutions.

[1614] A "theme" refers to a particular topic or concept specified by the user.

[1615] "Requirements" refer to the specific outputs or results that users expect from the system.

[1616] "Server" refers to a computer system that receives input from a user, processes it using a generative AI model, and returns the results to the user.

[1617] A "generative artificial intelligence model" refers to an artificial intelligence algorithm or machine learning model that generates new ideas, solutions, feedback, etc. based on user input.

[1618] "Ideas" refer to new concepts and creative hints generated by generative AI models.

[1619] A "concept" is an abstract idea or notion related to a topic or requirement.

[1620] "Challenge" refers to the problem or obstacle that the user wants to solve.

[1621] "Solution" refers to the specific countermeasure to the problem presented by the generative AI model.

[1622] "Insight" refers to information that provides a new perspective or understanding of a problem.

[1623] "Creative Works" refers to works or ideas created by Users themselves.

[1624] "Feedback" refers to the evaluation and considerations that the generative AI model provides to users' creations and ideas.

[1625] "Improvement advice" refers to suggestions and guidance for improving a user's creations or ideas.

[1626] The present invention is a system that generates new ideas and concepts based on user input of themes and requirements, a system that provides solutions and insights to problems the user wants to solve, and a system that provides feedback and advice on improvements to the user's creations and ideas. These systems are realized using generative AI models.

[1627] System Configuration

[1628] The system includes a user's device, a server, and a generative AI model. The user's device can be a variety of devices, such as a PC, tablet, or smartphone. The server is a computer or group of computers responsible for processing requests and running the generative AI model. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[1629] Processing flow (overview)

[1630] When a user inputs a topic, request, problem to be solved, or creation or idea, the details are sent to the server, which uses a generative AI model to generate output (new ideas, solutions, feedback) based on those inputs and sends it back to the user's device, where they can view the results.

[1631] Example

[1632] Here, a specific usage scenario will be described as an example.

[1633] Idea generation

[1634] User: The user inputs the theme "Come up with a plot for a new science fiction novel" through the terminal.

[1635] Terminal: Generates a request to send input data to the server.

[1636] Server: Receives requests and passes them to the generative AI model.

[1637] Generative AI model: Generates new ideas, such as "A story about a rebellion on a future Mars colony."

[1638] Server: Sends the generated ideas to the device.

[1639] Terminal: displays the generated ideas to the user.

[1640] Resolving the issue

[1641] User: The user enters an issue, saying, "My presentations tend to be boring. Any ideas for improving them?"

[1642] Terminal: Generates a request to send input data to the server.

[1643] Server: Receives requests and passes them to the generative AI model.

[1644] Generative AI models generate solutions such as "add visually appealing infographics."

[1645] Server: Sends the generated solution to the device.

[1646] Terminal: Displays the results to the user.

[1647] Providing Feedback

[1648] User: The user enters their own poem and says, "I'd like to hear your thoughts on this poem."

[1649] Terminal: Generates a request to send input data to the server.

[1650] Server: Receives requests and passes them to the generative AI model.

[1651] The generative AI model generates feedback such as, "The theme of the poem is inspiring, but the third stanza is too abstract. It would be better if you added more concrete imagery."

[1652] Server: Sends the generated feedback to the device.

[1653] Terminal: Display feedback to the user.

[1654] Prompt Sentence Examples

[1655] You can utilize the system's capabilities by inputting the following prompt sentences into the generative AI model:

[1656] 1. "Generate plot ideas for a new science fiction novel."

[1657] 2. "My presentations tend to be boring. Can you give me some ideas on how to improve them?"

[1658] 3. "Please give me feedback on this poem."

[1659] As described above, the present invention makes it possible to comprehensively support users' creative activities and provide specific and useful ideas, solutions, and feedback using generative AI models.

[1660] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1661] Idea generation

[1662] Step 1:

[1663] User: The user uses the device's input interface to enter a topic, for example, "Think of a plot for a new science fiction novel."

[1664] Input: Text entered by the user.

[1665] Specific behavior: The user enters text into the input form and clicks the "Submit" button.

[1666] Output: The input text data.

[1667] Step 2:

[1668] Terminal: The terminal receives the user's input and generates an HTTP request to send it to the server.

[1669] Input: The text data entered.

[1670] Specific behavior: The form's submit event is triggered, the input data is formatted in JSON format, and sent to the server as a POST request.

[1671] Output: A POST request to the server.

[1672] Step 3:

[1673] Server: The server receives the HTTP request from the device and analyzes the request data.

[1674] Input: The HTTP request sent from the device.

[1675] Specific operation: The server-side endpoint catches the request, analyzes it, and prepares it to be passed to the generative AI model.

[1676] Output: The parsed request data.

[1677] Step 4:

[1678] Generative AI model: A generative AI model generates new ideas based on a given theme, such as "A story about a rebellion breaking out on a Mars colony in the future."

[1679] Input: The parsed request data.

[1680] What it does: The AI ​​model uses its internal algorithms to generate text related to the topic.

[1681] Output: Generated ideas.

[1682] Step 5:

[1683] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[1684] Input: Generated ideas.

[1685] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[1686] Output: HTTP response to the device.

[1687] Step 6:

[1688] Terminal: The terminal receives the response from the server and displays it to the user, who can then check the generated ideas.

[1689] Input: The HTTP response from the server.

[1690] What happens: The device renders the received data into HTML or other display format and displays the results on the screen.

[1691] Output: The results displayed to the user.

[1692] Resolving the issue

[1693] Step 1:

[1694] User: The user types into the device the details of the problem they want to solve. For example, "My presentations tend to be boring. Any ideas for improvement?"

[1695] Input: Text entered by the user.

[1696] What happens: The user fills in the form with details about the problem and clicks the "Submit" button.

[1697] Output: The input text data.

[1698] Step 2:

[1699] Terminal: The terminal receives the entered problem details and generates an HTTP request to send them to the server.

[1700] Input: The text data entered.

[1701] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[1702] Output: A POST request to the server.

[1703] Step 3:

[1704] Server: The server receives the HTTP request from the device and analyzes the request data.

[1705] Input: The HTTP request sent from the device.

[1706] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[1707] Output: The parsed request data.

[1708] Step 4:

[1709] Generative AI models: Generative AI models generate new insights and solutions to problems, for example, "add visually appealing infographics."

[1710] Input: The parsed request data.

[1711] What it does: The AI ​​model applies algorithms based on input data to generate new solutions.

[1712] Output: The generated solution.

[1713] Step 5:

[1714] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[1715] Input: The generated solution.

[1716] Specific operation: The server wraps the generated data in an HTTP response and sends it back to the device.

[1717] Output: HTTP response to the device.

[1718] Step 6:

[1719] Terminal: The terminal receives the response from the server and displays it to the user, who can then view the new solution.

[1720] Input: The HTTP response from the server.

[1721] What happens: The device renders the received data into a display format and displays the result on the screen.

[1722] Output: The results displayed to the user.

[1723] Providing Feedback

[1724] Step 1:

[1725] User: A user enters their own work or idea into the device and asks for feedback. For example, they might enter, "I'd like to hear your thoughts on this poem."

[1726] Input: Text entered by the user.

[1727] Specific actions: The user enters their work or idea into the input form and clicks the "Submit" button.

[1728] Output: The input text data.

[1729] Step 2:

[1730] Terminal: The terminal receives the input work or idea and generates an HTTP request to send it to the server.

[1731] Input: The text data entered.

[1732] Specific operation: The input data is formatted in JSON format and sent to the server as a POST request.

[1733] Output: A POST request to the server.

[1734] Step 3:

[1735] Server: The server receives the HTTP request from the device and analyzes the request data.

[1736] Input: The HTTP request sent from the device.

[1737] What it does: The endpoint catches the request, analyzes it, and passes it to the generative AI model.

[1738] Output: The parsed request data.

[1739] Step 4:

[1740] Generative AI model: The generative AI model generates specific feedback and advice for improvement on your work or idea, such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1741] Input: The parsed request data.

[1742] What happens: The AI ​​model uses its internal algorithms to start the generation process and generate the feedback text.

[1743] Output: The generated feedback.

[1744] Step 5:

[1745] Server: The server receives the results from the generative AI model, generates a response, and sends it to the device.

[1746] Input: The generated feedback.

[1747] Specific operation: The server wraps the generated feedback in an HTTP response and sends it back to the device.

[1748] Output: HTTP response to the device.

[1749] Step 6:

[1750] Device: The device receives the response from the server and displays it to the user, who can then use the feedback to improve their work.

[1751] Input: The HTTP response from the server.

[1752] What happens: The device renders the received feedback into a display format and displays the data to the user.

[1753] Output: The results displayed to the user.

[1754] (Application example 1)

[1755] 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."

[1756] Conventional creative activity support systems often only generate ideas and concepts, and it has been difficult to provide detailed support to meet user needs, especially in the field of video content. Specifically, there has been a lack of systems that provide comprehensive support, from generating video content ideas and script writing support to providing advice on areas for improvement. As a result, users have had to carry out the creative process on their own, resulting in problems of poor efficiency and quality.

[1757] 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.

[1758] In this invention, the server includes a means for a user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts for video content based on the theme or request using a generative AI model, and a means for displaying the generated ideas and concepts for video content to the user. This allows users to easily obtain ideas for video content. Furthermore, the server then provides specific support for writing a scenario for the video content and even suggests improvements to existing content, enabling efficient and high-quality creative activities.

[1759] A "user" is someone who uses a system that supports creative activities.

[1760] A "topic or request" is a specific topic or request that a user inputs to the system.

[1761] A "means" is a mechanism or device for performing a specific function or process.

[1762] A "server" is a computer or group of computers that receives and processes requests from users.

[1763] A "generative artificial intelligence model" is an artificial intelligence algorithm for generating new ideas and concepts based on user input.

[1764] "Ideas and concepts" refer to plans and concepts for new video content.

[1765] "Video content" refers to information content that combines video and audio.

[1766] A "scenario" is a plan that provides a detailed description and outline of the video content.

[1767] "Feedback" refers to ratings and comments on user-created content.

[1768] "Improvement Advice" are specific suggestions for improving user-created content.

[1769] "Displaying" means visually presenting the generated information to a user.

[1770] This invention is a system that uses generative AI models to generate ideas for video content, support script writing, and provide improvement advice. The system includes a means for generating new ideas and concepts based on a theme or request entered by the user and displaying them to the user. It can also generate and display specific solutions and feedback based on details of a problem or existing work entered by the user.

[1771] System Configuration

[1772] The system is implemented by the following components:

[1773] User devices: Includes input devices such as smartphones and tablets.

[1774] Server: A computer or group of computers that runs the generative AI model and receives and sends data. For example, a high-performance server such as AWS EC2.

[1775] Generative AI models: Leverage advanced artificial intelligence models such as GPT-4.

[1776] Program processing flow

[1777] 1. Idea generation

[1778] A user uses a smartphone to input a topic or request, for example, "Give me ideas for a new YouTube video."

[1779] The user terminal generates a request to send this request to the server.

[1780] The server receives the request and passes the theme and requirements to the generative AI model.

[1781] The generative AI model generates new video content ideas and concepts based on themes and requests, such as "Introducing healthy breakfast menus using immune-boosting ingredients."

[1782] The server sends the generated idea to the user terminal as a response.

[1783] The user terminal receives the response and displays it to the user.

[1784] 2. Scenario writing support

[1785] The user inputs a request such as "I want you to write a scenario based on this idea."

[1786] The user terminal generates a request to send this request to the server.

[1787] The server receives the request and passes it on to the generative AI model.

[1788] The generative AI model generates specific scenarios, such as "Segment 1: Introduction, Segment 2: Ingredients Explanation, Segment 3: Cooking Process."

[1789] The server sends the generated scenario to the user terminal as a response.

[1790] The user terminal receives the response and displays it to the user.

[1791] 3. Advice for improvement

[1792] The user provides existing ideas, saying, "Please tell me how to improve this scenario."

[1793] The user terminal generates a request to send this request to the server.

[1794] The server receives the request and passes the idea to the generative AI model.

[1795] The generative AI model generates recommendations for improvement, such as "shorten the intro to grab the viewer's attention."

[1796] The server sends the generated advice to the user terminal as a response.

[1797] The user terminal receives the response and displays it to the user.

[1798] Specific examples

[1799] For example, if a user types into their smartphone, "Give me ideas for a new YouTube video," the generative AI model will generate specific ideas such as "Introducing a healthy breakfast menu using ingredients that boost the immune system." If the user then types, "Please write a scenario based on this idea," the model will present specific scenarios such as "Segment 1: Introduction, Segment 2: Ingredients explanation, Segment 3: Cooking process."

[1800] Example prompt sentence:

[1801] Do you have any ideas for new YouTube cooking videos?

[1802]

[1803] Write a script for this cooking video idea.

[1804]

[1805] How can I improve this scenario?

[1806] The above is an embodiment of the present invention. This system allows users to easily obtain ideas for video content as well as advice on how to improve it.

[1807] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1808] Step 1:

[1809] A user uses a smartphone to input a topic or request. For example, the user might input "Give me ideas for a new YouTube video." The input data is the topic or request in text format. The user device receives the input and generates a request to send to the server. This request includes the user ID and the input topic or request.

[1810] Step 2:

[1811] The server receives requests sent from the user's device and passes the theme or request to the generative AI model. The request data consists of the user ID and text data of the theme or request. The generative AI model analyzes this text data and generates ideas and concepts for new video content. During this process, the AI ​​model uses a large learning database to make new proposals while referring to related past ideas and concepts.

[1812] Step 3:

[1813] The ideas and concepts generated by the generative AI model are returned to the server, which generates a response to send the returned data to the user, including the user ID and the generated ideas and concepts.

[1814] Step 4:

[1815] The user device receives the response sent from the server and displays it to the user. The display is done on the smartphone screen, and the generated ideas and concepts are presented visually in an easy-to-understand manner. The user can view this to get ideas for new video content.

[1816] Step 5:

[1817] The user then inputs a further request, saying, "I want you to write a scenario based on this idea." Specifically, the user uses the input interface of the user terminal to send the request for writing a scenario in text format.

[1818] Step 6:

[1819] Again, the user device generates a request and sends it to the server, which then receives the request and passes it to the generative AI model.

[1820] Step 7:

[1821] The generative AI model generates a specific scenario based on the provided idea. The generated scenario data is returned in text format to the server. The server receives this data and generates a response to display to the user.

[1822] Step 8:

[1823] The user terminal receives the scenario response sent from the server and displays it to the user, who can then proceed with the creation of video content based on this scenario.

[1824] Step 9:

[1825] The user further inputs a request saying, "Please tell me how to improve this scenario." Specifically, the user inputs a text request into the user terminal, asking for suggestions for improving the existing scenario.

[1826] Step 10:

[1827] The user device generates a request to send this request to the server, which receives the request and passes it to the generative AI model to generate improvements to the scenario.

[1828] Step 11:

[1829] The generative AI model analyzes existing scenarios and generates specific suggestions for improvement, such as shortening the intro. The server then generates a response containing these suggestions and sends it to the user's device.

[1830] Step 12:

[1831] The user terminal receives the response of the improvement points sent from the server and displays it to the user, who can then further refine the content based on this improvement advice.

[1832] The above are the processing steps of the system that realizes the application example and the specific operations of each.

[1833] 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.

[1834] This invention is a system that supports creative activities using a generative artificial intelligence model and an emotion engine. Specifically, it has the functions of generating new ideas and concepts based on user input of themes and requirements, providing solutions and insights to complex problems, providing feedback and advice on improvements to works and ideas, and recognizing the user's emotions and making adjustments based on their state.

[1835] System Configuration

[1836] The system includes a user device, a server, a generative AI model, and an emotion engine. The user device can be a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[1837] Program processing flow

[1838] 1. Idea generation

[1839] User: The user uses the input interface of the terminal to input a theme or request into the system. For example, the user might type, "Give me a plot idea for a new science fiction novel."

[1840] Terminal: Receives input topics and requests and generates requests to send them to the server.

[1841] Server: The server receives requests and passes data about the subject, request, and user state to the generative AI model and emotion engine.

[1842] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[1843] Generative AI model: Generates new ideas and concepts based on themes, requirements, and emotional states from the emotion engine. For example, it generates a story about a rebellion on a future Mars colony.

[1844] Server: Generates the generated ideas and concepts as a response and sends them to the device.

[1845] Terminal: Receives the response and displays it to the user, allowing them to explore new ideas and concepts.

[1846] 2. Creative problem solving

[1847] User: The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[1848] Terminal: Receives the entered problem details and generates a request to send them to the server.

[1849] Server: The server receives the request and passes the problem details and user state data to the generative AI model and emotion engine.

[1850] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[1851] Generative AI model: Generates new insights and solutions based on problem details and emotional states from the emotion engine, such as "add visually appealing infographics" or "insert a story to appeal to emotions."

[1852] Server: Generates the generated insights and solutions as responses and sends them to the device.

[1853] Terminal: Receives the responses and displays them to the user, who can review and try out the generated insights and solutions.

[1854] 3. Providing criticism and feedback

[1855] User: The user enters their own work or idea into the device and asks for feedback. For example, they enter a poem, "I'd like to hear your thoughts on this poem."

[1856] Terminal: Receives input works or ideas and generates requests to send them to the server.

[1857] Server: Receives requests and passes data about the work, idea, and user state to the generative AI model and emotion engine.

[1858] Emotion Engine: The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model.

[1859] Generative AI model: Generates specific feedback and advice for improvement based on the work, idea, and emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1860] Server: Generates the generated feedback and advice as a response and sends it to the device.

[1861] Terminal: Receives the responses and displays them to the user, who can then use the feedback and suggestions to improve their work.

[1862] Specific examples

[1863] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[1864] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[1865] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[1866] The processing flow will be explained below.

[1867] 1. Idea generation

[1868] Step 1:

[1869] A user uses a terminal to input a topic or request, for example, "Give me a plot idea for a new science fiction novel."

[1870] Step 2:

[1871] The terminal receives the subject or request entered by the user and generates a request to transmit the content to the server.

[1872] Step 3:

[1873] The server receives requests sent from the device and passes the requests to the generative AI model.

[1874] Step 4:

[1875] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[1876] Step 5:

[1877] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[1878] Step 6:

[1879] The generative AI model generates new ideas and concepts based on the user's theme or request and emotional information from the emotion engine, for example, "A story about a rebellion breaking out on a future Mars colony."

[1880] Step 7:

[1881] The server generates the generated ideas and concepts as a response and sends it to the terminal.

[1882] Step 8:

[1883] The terminal receives the response sent from the server and displays it to the user, allowing the user to confirm new ideas and concepts.

[1884] 2. Creative problem solving

[1885] Step 1:

[1886] The user uses the device to enter details of the problem they want to solve, for example, "My presentations tend to be boring. Any ideas for improvement?"

[1887] Step 2:

[1888] The terminal receives the problem details entered by the user and generates a request to send them to the server.

[1889] Step 3:

[1890] The server receives requests sent from the device and passes the requests to the generative AI model.

[1891] Step 4:

[1892] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[1893] Step 5:

[1894] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[1895] Step 6:

[1896] The generative AI model generates new insights and solutions based on the details of the user's problem and the emotional information from the emotion engine, such as "add a visually appealing infographic" or "insert a story to appeal to emotions."

[1897] Step 7:

[1898] The server generates the generated insights and solutions as a response and sends them to the terminal.

[1899] Step 8:

[1900] The terminal receives the responses sent by the server and displays them to the user, who can then review and try out the generated insights and solutions.

[1901] 3. Providing criticism and feedback

[1902] Step 1:

[1903] A user inputs their work or idea into the terminal and asks for feedback, for example, "I'd like to hear your thoughts on this poem."

[1904] Step 2:

[1905] The terminal receives the work or idea input by the user and generates a request to transmit the content to the server.

[1906] Step 3:

[1907] The server receives requests sent from the device and passes the requests to the generative AI model.

[1908] Step 4:

[1909] The server makes the emotion engine recognize the user's emotional state before starting processing of the generative AI model.

[1910] Step 5:

[1911] The emotion engine recognizes the user's emotional state and conveys that information to the generative AI model.

[1912] Step 6:

[1913] The generative AI model generates specific feedback and advice for improvement based on the user's work or idea and emotional information from the emotion engine. For example, it might generate feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery."

[1914] Step 7:

[1915] The server generates the generated feedback or advice as a response and transmits it to the terminal.

[1916] Step 8:

[1917] The device receives the response sent from the server and displays it to the user, who can then improve their work based on the feedback and advice.

[1918] These are the specific processing steps in each process of the system.

[1919] Example 2

[1920] 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."

[1921] Conventional creative support systems often generate ideas, concepts, solutions, insights, and feedback that do not reflect the user's emotional state, resulting in insufficient support for maximizing stimulating creativity. Furthermore, lack of adjustments based on the user's emotional state can lead to lower user satisfaction and inefficient creative work. Therefore, there is a need for a system that can provide support tailored to the user's needs by recognizing the user's emotional state and adjusting the generation process of a generative AI model accordingly.

[1922] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for generating ideas and concepts based on a theme or requirement using a generative AI model, a means for recognizing the emotional state of a user using an emotion engine and adjusting the generation process of the generative AI model based on that state, and a means for displaying the generated ideas and concepts to the user. This allows new ideas, solutions, and feedback to be generated taking the user's emotional state into consideration, thereby improving user satisfaction and efficiently supporting creative activities.

[1923] A "theme" is a problem or topic that a user provides to the system, or a general content for which the user wishes to generate ideas.

[1924] A "request" is a specific need or request that a user provides to a system based on a specific purpose or condition.

[1925] A "server" is a computer or group of computers that receives and processes requests from user terminals over a network.

[1926] A "generative artificial intelligence model" is an artificial intelligence algorithm used to generate new ideas, solutions, and feedback based on user input.

[1927] An "emotion engine" is a technology that recognizes the user's emotional state and adjusts the system's behavior and output based on that state.

[1928] "Ideas" are creative outcomes such as new concepts, plots, and solutions generated by generative AI models.

[1929] A "concept" is an abstract idea or plan based on a theme that is generated by a generative AI model.

[1930] A "user" is an entity that uses the system to input topics and requirements and receives generated ideas, solutions, and feedback.

[1931] "Input means" refers to an interface or device through which a user inputs a topic, request, problem details, work, or idea into the system.

[1932] The "means for receiving and transmitting to the server" refers to a process or function for receiving data input by a user and transmitting it to the server.

[1933] "Generative means" refers to the ability to generate new ideas, solutions, and feedback using generative AI models and emotion engines.

[1934] The "display means" refers to an interface or device for visually presenting the generated results received from the server to the user.

[1935] The present invention is a system that provides creative ideas, solutions, and feedback based on user input. By combining a generative AI model and an emotion engine, it provides support that takes the user's emotional state into consideration. The system includes a user terminal, a server, a generative AI model, and an emotion engine. The user terminal consists of a variety of devices, including PCs, tablets, and smartphones. The server is a computer or group of computers responsible for processing requests and running the generative AI model and emotion engine. The generative AI model consists of artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input, and the emotion engine is a means of recognizing the user's emotions and making adjustments based on their state.

[1936] The system operation is outlined below.

[1937] (Idea generation)

[1938] A user inputs a theme or request into the system using the device's input interface. For example, the user might input, "Give me a plot idea for a new science fiction novel." The device receives the input theme or request and sends it to the server. The server receives the request and passes the theme or request, as well as data about the user's emotional state, to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new ideas and concepts based on the theme or request and the emotional state from the emotion engine. For example, it generates a story about a rebellion breaking out on a future Mars colony. The server generates the generated idea or concept as a response and sends it to the device. The device receives the response and displays it to the user.

[1939] (Creative problem solving)

[1940] A user uses a device to input details of the problem they want to solve. For example, they might input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The device receives the input problem details and sends them to the server. The server receives the request and passes data on the problem details and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and communicates that information to the generative AI model. The generative AI model generates new insights and solutions based on the problem details and the emotional state from the emotion engine. For example, it generates solutions such as "add a visually appealing infographic" or "insert a story to appeal to emotions." The server generates the generated insights and solutions as a response and sends it to the device. The device receives the response and displays it to the user.

[1941] (Providing criticism and feedback)

[1942] A user inputs their own work or idea into the device and requests feedback. For example, a user might input a poem such as, "I'd like to hear your thoughts on this poem." The device receives the input work or idea and sends it to the server. The server receives the request and passes data about the work or idea and the user's emotional state to the generative AI model and emotion engine. The emotion engine recognizes the user's emotional state and transmits that information to the generative AI model. The generative AI model generates specific feedback and advice for improvement based on the work or idea and the emotional state from the emotion engine. For example, it generates feedback such as, "The theme of the poem is moving, but the expression in the third stanza is too abstract. It would be even better if you added more concrete imagery." The server generates the generated feedback and advice as a response and sends it to the device. The device receives the response and displays it to the user.

[1943] (Example)

[1944] For example, if a user wants to create a plot for a new book, they can type "Give me an idea for a new mystery novel" into their device. The device sends this request to the server, which uses a generative AI model and an emotion engine to generate plot ideas based on the request. The emotion engine takes the user's emotional state into account and makes adjustments, such as "If the user is feeling stressed, suggest a light-hearted story to help them relax." The generated ideas are displayed to the user through their device, allowing them to obtain a new plot.

[1945] As another example, if a user wants to improve the appearance of their presentation materials, they can input, "My presentation materials tend to be boring. Do you have any ideas for improvement?" The generative AI model will suggest solutions to this problem, such as "add visually appealing infographics" or "insert a story to appeal to emotions." The emotion engine will make adjustments based on the user's emotional state, for example, "provide more positive feedback if the user is not confident." The user can use this as a reference to improve their presentation materials.

[1946] The present invention makes it possible to efficiently support creative activities, maximize the creativity of users, and provide appropriate support that takes into account their emotional state.

[1947] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1948] Step 1:

[1949] The user enters a topic or request into the device's input interface. For example, they might enter, "Give me some plot ideas for a new science fiction novel." The input format can be a text box or voice input. The user's input data is temporarily stored in the device's memory.

[1950] Step 2:

[1951] The device receives user input and generates a request to send the input data to the server. This request includes the input subject, request, and required metadata. Specific operations include generating and sending a POST request.

[1952] Step 3:

[1953] The server receives the request sent from the terminal and analyzes and extracts the input data from the request body. Through this analysis process, the user's input is recognized as a theme or request. The server then passes the extracted theme and request data to the next step.

[1954] Step 4:

[1955] The server passes data about the theme, request, and user's emotional state to the generative AI model and emotion engine. Specifically, it invokes the generative AI model and emotion engine using API calls and passes the required data as parameters. Metadata about the emotional state is generated based on, for example, past input data or user profile.

[1956] Step 5:

[1957] The emotion engine takes the data passed to it as input and analyzes and recognizes the user's emotional state. The emotion engine uses natural language processing techniques to extract the user's emotions from the input text. For example, it generates an emotion score such as stress, joy, or anticipation. This emotion data is fed back to the generative AI model.

[1958] Step 6:

[1959] The generative AI model generates new ideas and concepts based on themes, requests, and emotional data. Specifically, a text generation algorithm operates based on the generated prompt text to generate new story plots and concepts. For example, it could generate a story about a rebellion breaking out on a future Mars colony.

[1960] Step 7:

[1961] The server receives the results returned by the generative AI model, reformats them as a response body containing the generated ideas and concepts, and sends this response to the device as an HTTP response.

[1962] Step 8:

[1963] The device receives the response sent from the server and displays the generated ideas and concepts in the display area. Specific operations include analyzing the received data and updating the GUI for display. The user can check the results on the device screen.

[1964] This is the process flow of the system, which allows users to efficiently obtain creative ideas, solutions, and feedback that take into account their emotional state.

[1965] (Application example 2)

[1966] 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."

[1967] Improving production efficiency and work quality in modern factories requires providing quick and accurate solutions to problems faced by workers. However, conventional systems lack appropriate support based on the worker's emotional state, leading to serious issues such as mistakes caused by worker stress and fatigue and reduced production efficiency. In addition, the provision of new ideas and feedback for work improvement is limited, making it difficult to fully utilize workers' creativity.

[1968] 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 a means for the user to input a theme or request, a means for receiving the input theme or request and transmitting it to the server, a means for the server to generate ideas and concepts based on the theme or request using a generative AI model, a means for recognizing the user's emotional state using an emotion engine and transmitting that information to the generative AI model, and a means for displaying the generated ideas and concepts to the user. This makes it possible to provide appropriate ideas and solutions according to the user's emotional state.

[1969] "User" refers to a person who uses the system to input details of a topic, request, or problem and receive generated ideas and solutions.

[1970] "Topic or Request" refers to a topic or specific request for generating ideas or concepts entered by a user.

[1971] "Server" refers to a computer or group of computers that receives themes, requests, and problem details sent by users and processes them using generative AI models and emotion engines.

[1972] A "generative artificial intelligence model" refers to an artificial intelligence algorithm that generates new ideas, concepts, and solutions based on user input.

[1973] "Emotion engine" refers to technology for recognizing a user's emotional state and communicating that information to a generative artificial intelligence model.

[1974] "Ideas and Concepts" refers to new thoughts and concepts generated by generative AI models.

[1975] "Solutions and insights" refer to solutions and new knowledge derived by generative AI models for problems faced by users.

[1976] "Feedback and improvement advice" refers to specific suggestions for evaluation and improvement of the work or idea input by the user, generated by the generative AI model.

[1977] "Emotional state" refers to the emotion a user feels while using the system, and this is recognized by the emotion engine.

[1978] "System" refers to a device or program that executes a series of processes that receive user input, process that information using a generative AI model and emotion engine, and display the results to the user.

[1979] This invention is a system that uses a generative AI model and an emotion engine to provide quick and accurate solutions, new ideas, and feedback to factory workers for problems they face. The system takes into account the user's emotional state and provides appropriate support.

[1980] The system consists of the following elements:

[1981] 1. User terminal: A device on which users input themes, requests, details of the problem, and their own works and ideas, including smartphones, tablets, and personal computers.

[1982] 2. Server: A computer or group of computers responsible for processing requests and running the generative AI model and emotion engine.

[1983] 3. Generative AI models: Artificial intelligence algorithms that generate new ideas, solutions, and feedback based on user input.

[1984] 4. Emotion Engine: A technology for recognizing the user's emotional state and conveying that information to the generative AI model.

[1985] System Operation

[1986] 1. User Registration

[1987] Users log into the system through a terminal and input the theme, request, details of the problem, and their own work or idea.

[1988] 2. Enter your theme and requirements

[1989] The user uses the device's input interface to input a topic or request into the system, for example, "Please tell me how to improve the efficiency of our new manufacturing line." This input data is sent to the server, which then passes it on to the generative AI model and emotion engine.

[1990] 3. Recognizing emotional states

[1991] The emotion engine recognizes the user's emotional state. For example, if the user is feeling stressed, the emotion engine communicates this information to the generative AI model. The emotion engine uses software such as EmotionRecognition to analyze emotions.

[1992] 4. Idea and solution generation

[1993] The generative AI model generates ideas and solutions based on the input theme or request. By using prompts that reflect the user's emotional state, it can generate more appropriate and effective ideas and solutions. For example, if the emotion is "I'm feeling stressed," the generative AI model adjusts the prompt to "Please tell me how to improve the efficiency of our new manufacturing line. Please give me some calming advice."

[1994] 5. Displaying the results

[1995] The generated ideas and solutions are sent to the terminal via the server and displayed to the user, who can then confirm and implement the generated proposals.

[1996] Specific examples

[1997] For example, if a user types, "My presentation materials tend to be boring. Do you have any ideas for improving them?", and the emotion engine recognizes that the user is confident, the generative AI model will add, "Please give us your suggestions for further improvement." In this case, specific solutions such as "Add visually appealing infographics" or "Insert a story to appeal to emotions" will be displayed as generated ideas.

[1998] Prompt Sentence Examples

[1999] "How can we improve the efficiency of our new manufacturing line?"

[2000] "My presentation materials tend to be boring. Do you have any ideas for improving them?"

[2001] I'd like to hear your thoughts on this poem.

[2002] This system allows factory workers to find quick and accurate solutions to the various problems they face and receive appropriate support according to their emotions, which is expected to result in improved work efficiency and quality.

[2003] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2004] Step 1:

[2005] The user inputs a topic or request. The user inputs a topic or request using the terminal interface. For example, the user might input "Please tell me how to improve the efficiency of the new manufacturing line." This input data is sent from the terminal to the server through the input interface. The input data is in text format.

[2006] Step 2:

[2007] The device receives the input topic and request and sends it to the server. The device receives the text data entered by the user and sends it to the server in the form of an HTTP request or similar. No data processing is performed at this point.

[2008] Step 3:

[2009] The server sends the received data to an emotion recognition engine. The server passes the received user text data to an emotion recognition engine such as EmotionRecognition. The emotion recognition engine analyzes the text and recognizes the user's emotional state. The input is text data, and the output is the emotional state (e.g., stress, fatigue, confidence, etc.).

[2010] Step 4:

[2011] The server receives the results of the emotion recognition engine and sends them to the generative AI model. The server then transmits the emotional state information to the generative AI model. At this time, the prompt sentence is adjusted according to the emotional state. For example, if the emotional state is "stressed," the prompt sentence is changed to "Please tell me how to improve the efficiency of the new production line. Please give me some calming advice." The input is the emotional state and the original prompt sentence, and the output is the adjusted prompt sentence.

[2012] Step 5:

[2013] A generative AI model generates ideas and concepts based on the adjusted prompt. A generative AI model (e.g., GPT-3) generates new ideas and concepts based on the adjusted prompt. The input is the adjusted prompt, and the output is the generated text (ideas and concepts).

[2014] Step 6:

[2015] The server generates the generated ideas and concepts as a response and sends it to the terminal. The server sends the generated text data to the terminal in a response format (for example, JSON format). The input is the generated text data, and the output is the response data.

[2016] Step 7:

[2017] The terminal receives the response from the server and displays it to the user. The terminal analyzes the response data received from the server and displays the generated ideas and concepts to the user. The input is the response data, and the output is text data that is displayed on the user's screen. The user can check the generated ideas and concepts.

[2018] 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.

[2019] 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.

[2020] 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.

[2021] 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.

[2022] 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.

[2023] 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.

[2024] 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).

[2025] 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.

[2026] 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."

[2027] 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.

[2028] 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).

[2029] 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.

[2030] 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.

[2031] 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.

[2032] 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.

[2033] 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.

[2034] 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.

[2035] 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.

[2036] Furthermore, the hardware structure of these various processors can be, mor...

Claims

1. a means for a user to input a subject or request; means for receiving an input subject or request and transmitting it to a server; a means for the server to generate ideas and concepts based on a theme or requirement using a generative artificial intelligence model; a means for displaying the generated ideas and concepts to a user; A system including:

2. a means for the user to enter details of the problem they wish to solve; means for receiving the entered problem details and transmitting them to a server; a means by which the server uses the generative artificial intelligence model to generate solutions or insights to the problem; a means for displaying the generated solutions and insights to the user; The system of claim 1 , comprising:

3. a means for users to input their own creations or ideas; means for receiving and transmitting input works or ideas to a server; A means for the server to generate feedback and advice for improvement on the work or idea using the generative artificial intelligence model; a means for displaying the generated feedback and advice to the user; The system of claim 1 , comprising:

Images