system

Abstract

To provide a system that realizes efficient and effective prompt utilization and matching. [Solution] A system that matches idea creators and prompt providers, comprising: a means for a user to create an account and input basic information; a means for a prompt provider to input and send the content and details of a prompt; a means for a server to store the prompt information in a database and reflect it in a list; a means for the idea creator to search for and select the prompt they need; a means for the server to return matching prompts based on the search criteria; a means for the idea creator to use the selected prompt; a means for sending evaluations and feedback for the prompts used by the idea creator; and a means for the server to reflect the evaluation information in the prompt provider's evaluation profile.

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 recent years, idea generation and idea creation activities using generative AI have been attracting attention. However, the quality and type of prompts used in these activities vary widely, and there is a lack of an efficient platform for providing these prompts appropriately. Furthermore, if the prompt provider and idea creator are not properly matched, the quality of the ideas may decline. This calls for the provision of a platform where both parties can communicate effectively and use prompts effectively. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system for matching idea creators and prompt providers. Specifically, the system includes a means for a user to create an account and input basic information, a means for a prompt provider to input and submit the content and details of a prompt, a means for a server to save the prompt information in a database and reflect it in a list, a means for the idea creator to search for and select the prompt they need, a means for the server to return matching prompts based on the search criteria, a means for the idea creator to use the selected prompt, a means for the idea creator to send an evaluation and feedback for the prompt used, and a means for the server to reflect the evaluation information in the prompt provider's evaluation profile, thereby realizing efficient and effective prompt usage and matching.

[0006] "Idea creator" refers to a user who uses generative AI to generate new ideas or suggestions.

[0007] "Prompter" refers to a user who creates and provides prompts for use by idea creators.

[0008] "Matching system" refers to a platform that efficiently connects idea creators and prompt providers.

[0009] "Account" refers to the personal information and registration information with access rights created by a user to use the system.

[0010] "Basic information" refers to information such as name, email address, and password that a user enters when creating an account.

[0011] A "prompt" refers to specific content or instructions given to generative AI.

[0012] "Database" refers to a digital record system that systematically stores and manages prompt information, user information, etc.

[0013] "Search mechanism" refers to the function that a user uses to search for a prompt.

[0014] "Means of use" refers to the act of actually applying the prompt selected by the idea creator to the generative AI to generate ideas.

[0015] "Evaluation" refers to the evaluation and feedback information given by the idea creator in response to the prompt used.

[0016] "Rating profile" refers to a system feature that aggregates and displays prompter ratings and feedback for prompts provided by prompters. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] This invention is a system that efficiently matches idea creators with prompt providers. This system allows idea creators to efficiently find the prompts they need and use them to generate new ideas. This system includes the processes of user registration, prompt registration, prompt search and selection, matching and use, and feedback and evaluation.

[0039] User Registration

[0040] The user accesses the account creation page and enters basic information such as username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if the verification is successful, stores it in a database. Once registration is complete, the server sends a confirmation email.

[0041] Registering a prompt

[0042] The user (prompt provider) accesses the prompt registration page and enters the title, content, category, etc. of the prompt. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in the database. The saved prompt is reflected in the prompt list and can be searched by other users.

[0043] Search and select prompts

[0044] The user (idea provider) accesses the prompt search page and searches for prompts by entering categories or keywords. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[0045] Matching and Use

[0046] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The more detailed the prompts, the better the quality of the ideas.

[0047] Feedback and Ratings

[0048] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device sends this information to the server. The server stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to check the quality of the prompt, and the prompt provider can see the rating of their own prompt.

[0049] Specific examples

[0050] For example, User A creates an account, enters basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database.

[0051] When User C searches for prompts in the "Business" category, Prompt Provider B's prompt appears in the search results. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment, "It was helpful, but a little more detail would have been better."

[0052] This rating will be reflected in prompt provider B's profile and will help other users choose prompts.

[0053] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts.

[0054] The processing flow will be explained below.

[0055] Step 1:

[0056] A user visits the account creation page and enters basic information such as username, email address, and password.

[0057] Step 2:

[0058] The terminal transmits the input information to the server.

[0059] Step 3:

[0060] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[0061] Step 4:

[0062] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[0063] Step 5:

[0064] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[0065] Step 6:

[0066] The terminal sends the entered prompt information to the server.

[0067] Step 7:

[0068] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[0069] Step 8:

[0070] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[0071] Step 9:

[0072] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[0073] Step 10:

[0074] The terminal sends the search criteria to the server.

[0075] Step 11:

[0076] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[0077] Step 12:

[0078] The user (idea provider) selects the prompt of interest from the search results.

[0079] Step 13:

[0080] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[0081] Step 14:

[0082] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[0083] Step 15:

[0084] The terminal transmits the evaluation information to the server.

[0085] Step 16:

[0086] The server stores the feedback information in a database and reflects it in the prompter's rating profile.

[0087] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide, use, and evaluate prompts.

[0088] Example 1

[0089] 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."

[0090] Conventional idea generation systems have had issues with finding effective prompts easily and efficiently matching prompt providers with idea creators. Furthermore, there are concerns that the quality of prompts may decline because prompt evaluations and feedback intended to improve the quality of generated ideas are not properly reflected.

[0091] 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.

[0092] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a prompt provider to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for an idea creator to search for and select a prompt they need; a means for the server to return matching prompts based on search criteria; a means for executing a generative AI model using the prompt selected by the idea creator; a means for sending evaluations and feedback for the prompts used by the idea creator; and a means for the server to reflect the evaluation information in the prompt provider's evaluation profile. This enables efficient matching between idea creators and prompt providers and improves the quality of generated ideas.

[0093] A "user" is an individual or corporation that uses the system to create an account and performs operations such as registering, searching, using, and rating prompts.

[0094] A "prompt provider" is an individual or legal entity responsible for entering prompts into the system and making them available to other users.

[0095] An "idea creator" is an individual or entity that uses the system to search for and select prompts and generate ideas using a generative AI model.

[0096] A "server" is a computer system that is responsible for functions such as data processing for the entire system, storing information, retrieving prompts, and reflecting evaluation information.

[0097] A "generative AI model" is an artificial intelligence that generates new ideas and content based on input prompts.

[0098] A "prompt sentence" is text data provided to a generative AI model, and is the information that forms the basis for idea generation.

[0099] "Basic information" refers to information such as a username, email address, and password that a user enters when creating an account.

[0100] A "database" is an information system that manages prompt information, user information, evaluation information, and other information in an integrated manner within a server.

[0101] "Feedback" refers to the evaluation or comments that idea creators make on a prompt after using it.

[0102] The "rating profile" is a function that accumulates and displays information on ratings and feedback for prompts registered by prompt providers.

[0103] The present invention is a system that efficiently matches idea creators with prompt providers. This system allows users to create an account and register, search, use, and rate prompts. Implementation of the system requires a server, a terminal, and a generative AI model. The specific implementation procedure for the system is described below.

[0104] User registration

[0105] First, a user accesses the account creation page and enters basic information such as username, email address, and password. This basic information is sent from the device to the server. The server verifies the received information and, if the verification is successful, stores the information in a database. Once registration is complete, the server sends a confirmation email to the user's email address. For example, if User A enters "userA," "userA@example.com," and "password123" and presses the registration button, the device sends the information to the server, which verifies the information, stores it in the database, and then sends a confirmation email.

[0106] Enforce prompt registration

[0107] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or the "Business" category. This information is sent from the terminal to the server. The server verifies the entered information and, if there are no problems, saves it in the database. The saved prompt is reflected in the prompt list so that other users can search for it.

[0108] Implementing search and select prompts

[0109] Idea providers access the prompt search page and search for prompts by entering categories and keywords. For example, they enter the "business" category or the keywords "product ideas." The device sends these search criteria to the server. The server queries the database based on the received criteria, searches for matching prompts, and returns them to the device. The user then selects the prompt of interest from the displayed search results.

[0110] Matching and utilization

[0111] The idea provider runs the generative AI model using a selected prompt. For example, they might enter, "Please tell me some new eco-friendly product ideas." The generative AI model generates ideas based on this prompt, and the generated ideas are displayed on the user's device. A natural language processing model such as GPT-3 (registered trademark) is used as the AI ​​model.

[0112] Feedback and evaluation

[0113] The idea provider accesses a page where they can rate and submit feedback on the prompt they used. On the feedback page, users type "It was helpful, but a little more detail would have been better" and press the submit button. The device sends this information to the server, which then stores the feedback information in a database. This rating is reflected in the prompt provider's rating profile, allowing other users to check the quality of the prompt.

[0114] By using this system, idea creators can efficiently find the prompts they need and improve the quality of the ideas they generate. Prompter providers can also learn the evaluation of their prompts and provide even higher quality prompts based on the feedback.

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Step 1:

[0117] The user accesses the account creation page and enters basic information such as username, email address, and password. The entered basic information is sent from the device to the server. The device sends this data to the server in JSON format using the HTTP POST method. The server receives the input data (username, email address, and password) and validates the format. If the validation is successful, a success message is returned as output, and if it fails, an error message is returned.

[0118] Step 2:

[0119] The server validates the received basic information. Specifically, it checks whether the email address format is correct and whether the username is a duplicate of existing data. The input is the basic information received earlier, and the output is the validation result. If the validation is successful, the server saves the information to the database. This save operation uses the SQL INSERT statement. Once the save is complete, the server returns a success status to the terminal.

[0120] Step 3:

[0121] The server generates a confirmation email and sends it to the user's email address. The input is the user's email address and a template for the confirmation message, and the output is the email that has been sent. Specifically, the server sends the email using the SMTP protocol. Once the confirmation email is sent, the user knows that their registration has been completed.

[0122] Step 4:

[0123] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or "Business" category. This information is sent from the terminal to the server. The input data is the detailed information of the prompt, and the terminal sends it using the HTTP POST method.

[0124] Step 5:

[0125] The server validates the entered prompt information. Specifically, it checks whether the prompt content is appropriate and whether it is duplicated. The input is the prompt details, and the output is the validation result. If the validation is successful, it is saved in the database. This operation uses the SQL INSERT statement. After saving is complete, the server returns a success message to the terminal.

[0126] Step 6:

[0127] The saved prompt information is reflected in the database and displayed in the prompt list. This allows other users to search for prompts. The user accesses the prompt search page and enters search criteria (categories and keywords). The input data is the search criteria, and the terminal sends it to the server using the HTTP GET method.

[0128] Step 7:

[0129] The server queries the database based on the search criteria to find matching prompts. The input is the search criteria, and the server queries the database using an SQL SELECT statement. The output is the search results, which the server returns to the terminal.

[0130] Step 8:

[0131] The user selects a prompt of interest from the displayed search results. Details of the selected prompt are displayed on the device. The user then runs the generative AI model using the selected prompt. For example, the user might enter, "Please tell me some new eco-friendly product ideas." The input data is the prompt text, which the device then sends to the generative AI model.

[0132] Step 9:

[0133] The generative AI model generates ideas based on the input prompt. Specifically, the generative AI model (e.g., GPT-3) uses a natural language processing algorithm to generate a response. The input data is the prompt, and the output is the generated idea. The generated idea is displayed on the device.

[0134] Step 10:

[0135] The idea provider accesses a page to submit their evaluation and feedback for the prompt they used. The input is the feedback content, which the device sends to the server. The device uses the HTTP POST method to send data in JSON format.

[0136] Step 11:

[0137] The server validates the received feedback information and stores it in the database. The input data is the feedback content, which is saved as evaluation information in the database after validation. SQL INSERT statements are used to save the information.

[0138] Step 12:

[0139] The feedback information is reflected in the prompter's rating profile, allowing other users to see the quality of the prompt and allowing the prompter to know how their prompt was rated. The input data is the saved rating profile, and the output is the updated rating profile.

[0140] (Application example 1)

[0141] 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."

[0142] It is difficult for idea creators and prompt providers to efficiently find optimal prompts, and content creators in particular face the problem of spending time and effort searching for appropriate prompts to generate new content ideas. To improve the quality of generated content ideas, a system is needed that efficiently searches for prompts, generates ideas using AI, and reflects the results as feedback.

[0143] 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.

[0144] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a content creator to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for the content creator to search for and select a prompt they need; a means for the server to return prompts that match the search criteria; a means for the content creator to use the prompt selected by the content creator; a means for generating new content ideas using a generative AI model; a means for sending ratings and feedback for the prompts used by the content creator; and a means for the server to update the rating information in the prompt provider's rating profile. This enables content creators to efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[0145] An "idea creator" is a user whose purpose is to generate new ideas and content.

[0146] A "prompt provider" is a user who provides a prompt that serves as a clue for idea generation to the idea creator.

[0147] "Matching" is a process where idea creators and prompters find the best prompt for each other.

[0148] When a "user" creates an account and inputs basic information, this means registering information such as a username, email address, and password.

[0149] Entering and sending the "prompt content" and its details means filling in information such as the title, content, and category of the prompt and sending it to the system.

[0150] The "server" saving the prompt information in the database and reflecting it in the list means that the received prompt information is added to the server's database and displayed in a list that can be viewed by other users.

[0151] An "author" searches for and selects the prompt they need by locating the appropriate prompt from a list of prompts and selecting it.

[0152] A "generative AI model" is an artificial intelligence model that automatically generates new ideas and content based on provided prompts.

[0153] "Feedback and evaluation" refers to returning feedback and suggestions for improvement to the provider regarding the prompt used.

[0154] A "rating profile" is a collection of prompter ratings and feedback.

[0155] This invention is a system that efficiently matches idea creators with prompt providers, and is particularly useful for generating new content ideas for content creators. The system includes procedures for users to create an account, register and search prompts, generate ideas using a generative AI model, and provide feedback on the results.

[0156] Hardware and software used

[0157] Hardware: Smartphones, servers

[0158] Software: Flask (Python web framework), RESTful API, generative AI models (e.g., GPT-4 (registered trademark))

[0159] System Operation

[0160] 1. User Registration:

[0161] A user accesses the account creation page using their smartphone and enters basic information (username, email address, password, etc.). The device sends this information to the server, which verifies and stores it. Once registration is complete, a confirmation email is sent from the server.

[0162] 2. Register prompt:

[0163] Prompt providers access the prompt registration page using their smartphones, enter the required information (prompt title, content, category, etc.), and submit it. The server stores this information in a database and reflects it in the prompt list.

[0164] 3. Search and select prompt:

[0165] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The server searches the database for matching prompts based on the search criteria and returns the results to the device. Content creators then select the prompts they are interested in.

[0166] 4. Matching and Utilization:

[0167] Using prompts selected by content creators, generative AI models are run to generate new content ideas. The more detailed the prompts, the better the quality of the generated content ideas.

[0168] 5. Feedback and Rating:

[0169] The content creator accesses the feedback page for the prompt they used and enters their rating and comments. The device sends the information to the server, which then stores the feedback information in a database and reflects it in the prompt provider's rating profile.

[0170] Examples of concrete examples and prompts

[0171] For example, Content Creator A creates an account, enters some basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "New Cooking Recipe Video Ideas." This prompt is categorized under "Video Creation" and saved in the database.

[0172] When Content Creator C searches for prompts in the "video production" category, the prompt provided by Prompt Provider B appears in the search results. Content Creator C selects this prompt and uses it to generate new cooking recipe video ideas.

[0173] An example of a prompt used is:

[0174] "Submit a new cooking recipe video idea. Submit a new recipe idea that combines three different culinary cultures. Include an easy-to-follow, visually appealing presentation method."

[0175] In this way, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[0176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0177] Step 1:

[0178] User Registration

[0179] A user accesses the account creation page using a smartphone and enters basic information (username, email address, password, etc.). The input data is sent from the device to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server to the user's email address.

[0180] Input: Username, Email Address, Password

[0181] Output: Send confirmation email, save to database

[0182] Step 2:

[0183] Registering a prompt

[0184] The prompt provider accesses the prompt registration page using a smartphone, enters the required information (prompt title, content, category, etc.), and submits it. The input data is sent from the device to the server, which stores it in a database and reflects it in the prompt list.

[0185] Input: Prompt title, content, category

[0186] Output: Save prompt information and reflect it in the prompt list

[0187] Step 3:

[0188] Search prompts

[0189] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The entered search criteria are sent from the device to the server, which searches the database and returns matching prompts to the device. The content creator selects the prompts that interest them.

[0190] Input: Search criteria (category, keyword)

[0191] Output: Search results (list of prompts)

[0192] Step 4:

[0193] Using prompts

[0194] The content creator uses the selected prompts to generate new content ideas using a generative AI model, and the server runs the generative AI model based on the selected prompts and returns the generated ideas to the device.

[0195] Input: Selected prompt

[0196] Output: Generated content ideas

[0197] Step 5:

[0198] Feedback and Ratings

[0199] Content creators access the feedback page for the prompts they have used and enter their ratings and comments. The entered feedback information is sent from the device to the server, which stores it in a database and reflects it in the prompt provider's rating profile.

[0200] Input: Rating, Comment

[0201] Output: Reflection in evaluation profile

[0202] Through these steps, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[0203] 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.

[0204] The present invention is a system that efficiently matches idea creators with prompt providers, and further optimizes the provision and use of prompts by combining it with an emotion engine that recognizes the user's emotions. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[0205] User Registration

[0206] A user accesses the account creation page and enters basic information such as a username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server. During this process, the emotion engine recognizes the user's emotions and stores the information.

[0207] Registering a prompt

[0208] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list, making it searchable by other users. The server recognizes the prompt provider's emotion during registration and assigns that information to the prompt.

[0209] Search and select prompts

[0210] When a user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword, the emotion engine recognizes the user's current emotion. Based on the recognized emotion, the server suggests the most suitable prompt. It also searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[0211] Matching and Use

[0212] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The emotion engine optimizes the details of the prompts according to the user's emotions, improving the quality of the generated ideas. The generated ideas are then displayed on the device.

[0213] Feedback and Ratings

[0214] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device then sends this information to the server. The emotion engine recognizes the user's emotions when entering the feedback and adds this information to the rating. The server then stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to refer to the evaluator's emotions when checking the quality of the prompt.

[0215] Specific examples

[0216] For example, after User A creates an account and enters basic information, he receives a confirmation email. At this time, the emotion engine records User A's emotional state as "Excited." Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database. The emotion engine also records Prompt Provider B's emotional state.

[0217] When User C searches for prompts in the "Business" category, the emotion engine recognizes User C's emotion as "interest" and suggests the most suitable prompt based on that. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment "It was helpful, but a little more detail would have been better." At this time, the emotion engine records User C's emotion as "Satisfied" and adds it to the rating.

[0218] This evaluation is reflected in prompt provider B's profile and can be used as a reference when other users choose prompts. In addition, the collected emotional data can be used to more accurately analyze the effectiveness of each prompt and user reactions.

[0219] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts through emotion recognition.

[0220] The processing flow will be explained below.

[0221] Step 1:

[0222] A user visits the account creation page and enters basic information such as username, email address, and password.

[0223] Step 2:

[0224] The terminal transmits the input information to the server.

[0225] Step 3:

[0226] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[0227] Step 4:

[0228] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[0229] Step 5:

[0230] The emotion engine in the server analyzes the user's input information and behavior to recognize the user's emotions, which are then saved in the user profile.

[0231] Step 6:

[0232] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[0233] Step 7:

[0234] The terminal sends the entered prompt information to the server.

[0235] Step 8:

[0236] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[0237] Step 9:

[0238] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[0239] Step 10:

[0240] The emotion engine in the server analyzes the prompt provider's input information and recognizes the provider's emotion. This information is also added to the prompt data.

[0241] Step 11:

[0242] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[0243] Step 12:

[0244] The terminal sends the search criteria to the server.

[0245] Step 13:

[0246] The emotion engine in the server recognizes the user's current emotion, and based on this information, the server suggests the most appropriate prompt.

[0247] Step 14:

[0248] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[0249] Step 15:

[0250] The user (idea provider) selects the prompt of interest from the search results.

[0251] Step 16:

[0252] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[0253] Step 17:

[0254] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[0255] Step 18:

[0256] The terminal transmits the evaluation information to the server.

[0257] Step 19:

[0258] The emotion engine in the server recognizes the user's emotions when entering feedback and adds that information to the evaluation.

[0259] Step 20:

[0260] The server stores the feedback information in a database and reflects it in the prompter's rating profile, which is then reflected in the prompt list and used to improve the accuracy of future prompt suggestions.

[0261] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide and use prompts and provide optimal feedback based on emotional information.

[0262] Example 2

[0263] 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."

[0264] The present invention aims to improve the quality of idea generation by efficiently matching idea creators and prompt providers and optimizing the provision and use of prompts by recognizing user emotions. Conventional systems provide prompts without considering the user's emotions, resulting in low user satisfaction and a decline in the quality of generated ideas. Furthermore, when collecting evaluations and feedback, the user's emotional state is not reflected, resulting in unreliable evaluation results.

[0265] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0266] In this invention, the server includes: means for a user to create an account and input basic information; means for a prompt provider to input and send the content and details of a prompt; means for the server to save the prompt information in a database and reflect it in a list; means for the idea creator to search for and select a required prompt; means for the server to return matching prompts based on search conditions; means for the idea creator to use the prompt selected; means for sending evaluations and feedback for the prompt used by the idea creator; means for the server to reflect the evaluation information in the evaluation profile of the prompt provider; and means for an emotion engine to recognize the emotions of the user and the prompt provider and add that information to the prompt and feedback.

[0267] This provides optimal prompts based on the user's emotions, improving the quality of the ideas generated, and also improving the reliability of the evaluation results because emotional information is added to the evaluation and feedback.

[0268] "User" refers to any person who uses the system to create an account and search, select, and rate prompts.

[0269] A "prompt provider" is someone who creates a prompt and registers it in the system.

[0270] "Idea creator" refers to a person who generates ideas using prompts found in the system.

[0271] "Server" refers to equipment or software that manages data for the entire system and processes information in response to user requests.

[0272] "Database" refers to data storage that structures and stores prompt information, user information, etc. within the system.

[0273] An "emotion engine" refers to software that has the ability to recognize a user's emotional state and reflect that information in prompts and feedback.

[0274] "Generative AI model" refers to an artificial intelligence model that generates ideas using prompts as input.

[0275] A "prompt" refers to input data that a user uses to generate ideas.

[0276] "Evaluation" refers to the act of a user recording their satisfaction or feedback regarding the prompt used by the idea creator.

[0277] This invention is a system that efficiently matches idea creators and prompt providers by taking into account user emotions, and optimizes the provision and use of prompts by combining an emotion engine. To implement this system, a server, a terminal, an emotion engine, and a generative AI model are combined and built.

[0278] Hardware and Software Configuration

[0279] Server: The server manages the system-wide data and processes information in response to user requests. The server has a database for storing prompts and user information, and runs web server software (e.g., Apache or nginx) to process HTTPS requests.

[0280] Terminal: The terminal used by users to access the system is a device that can connect to the Internet, such as a PC, smartphone, or tablet. A browser is installed on the terminal, and users access the system through this browser.

[0281] Emotion engine: The emotion engine is software that recognizes the user's emotional state and reflects that information in prompts and feedback. Specifically, it uses text analysis APIs and image analysis APIs (e.g., Microsoft® Azure® Emotion API, IBM Watson® Tone Analyzer, etc.).

[0282] Generative AI model: An artificial intelligence model that generates ideas using prompts as input, such as OpenAI's GPT-3 and Google's BERT.

[0283] System processing flow

[0284] User registration: The user accesses the account creation page and enters basic information such as username, email address, and password. The device sends this information to the server, which verifies the information and stores it in a database. After registration is complete, the server sends a confirmation email to the user, and the emotion engine analyzes and stores the user's emotions.

[0285] Prompt registration: The prompt provider registers the prompt by entering the title, content, category, etc. The device sends this information to the server, which verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list and becomes searchable by other users. The emotion engine analyzes the prompt provider's emotion and assigns that information to the prompt.

[0286] Prompt search and selection: The idea provider accesses the prompt search page and performs a search by entering categories and keywords. The server uses an emotion engine to analyze the user's emotions and suggests the most appropriate prompt based on that information. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user selects the prompt of interest from the search results.

[0287] Matching and utilization: The generative AI model is run using the prompt selected by the idea provider as input to generate ideas. The emotion engine optimizes the details of the prompt according to the user's emotions, and the generated ideas are displayed on the device.

[0288] Feedback and rating: The idea provider accesses the feedback page and enters their rating and comments. The device sends this information to the server, which uses an emotion engine to analyze the emotion at the time of feedback entry and assigns this information to the rating. The server then saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[0289] Specific examples

[0290] For example, a user creates a new account and enters the necessary basic information to register. During this registration, the system uses the emotion engine to record the user's emotion as "excitement." Next, a prompt provider registers a prompt for "generating new product ideas" in the business category. During this registration, the system also records the provider's emotion.

[0291] When the idea provider then searches for prompts in the business category, the system recognizes the provider's emotional state of "interest" and suggests the most suitable prompt. The idea provider selects the suggested prompt and generates a new product idea. In response to the generated idea, the idea provider sends a comment saying, "It was helpful, but a little more detail would have been better." In this case, the system records the emotion as "satisfied" and reflects it in the evaluation.

[0292] An example of a prompt sentence is "I want to generate a new business idea. I'm feeling excited." In this way, the most appropriate prompt is provided based on the user's emotions, improving the quality of the ideas generated and the reliability of the evaluation results.

[0293] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0294] Program processing steps

[0295] Handling user registration

[0296] Step 1:

[0297] A user opens a browser and visits the account creation page, entering basic information such as username, email address, and password.

[0298] Input: Username, Email Address, Password

[0299] Output: Basic information entered

[0300] Step 2:

[0301] The device sends the entered basic information to the server as an HTTPS request.

[0302] Input: Basic information

[0303] Output: HTTPS request to the server

[0304] Step 3:

[0305] The server receives the request and validates the format and content of the input information, for example, by checking the format of the email address or the strength of the password.

[0306] Input: HTTPS request with basic information

[0307] Output: Verification results

[0308] Step 4:

[0309] If the server is successful in the verification, it saves the basic information in the database.

[0310] Input: Verified basic information

[0311] Output: Basic information stored in the database

[0312] Step 5:

[0313] The server sends a confirmation email to the user via the SMTP server.

[0314] Input: Email address

[0315] Output:Confirmation email

[0316] Step 6:

[0317] The server calls the emotion recognition API, analyzes the user's emotions, and stores the information.

[0318] Input: User data when entering basic information

[0319] Output: Parsed emotion data

[0320] Handling prompt registrations

[0321] Step 1:

[0322] The prompt provider accesses the prompt registration page in a browser and enters the prompt title, content, category, etc.

[0323] Input: Prompt title, content, category

[0324] Output: Entered prompt information

[0325] Step 2:

[0326] The terminal sends the entered prompt information to the server as an HTTPS request.

[0327] Input: Prompt Information

[0328] Output: HTTPS request to the server

[0329] Step 3:

[0330] The server validates the prompt information entered, for example checking the length of the title and whether there is any content.

[0331] Input: HTTPS request for prompt information

[0332] Output: Verification results

[0333] Step 4:

[0334] The server saves the validated prompt information in a database.

[0335] Input: Validated prompt information

[0336] Output: Prompt information stored in the database

[0337] Step 5:

[0338] The server adds the saved prompt to the index and updates the prompt list.

[0339] Input: Prompt Information

[0340] Output: Updated prompt list

[0341] Step 6:

[0342] The server recognizes the prompter's emotion and adds that information to the prompt.

[0343] Input: Prompt provider data when registering a prompt

[0344] Output: A prompt with the parsed emotion data.

[0345] Handling search and select prompts

[0346] Step 1:

[0347] The idea provider accesses the prompt search page in a browser and enters search criteria such as categories and keywords.

[0348] Input: Search criteria (category, keyword)

[0349] Output: Search criteria entered

[0350] Step 2:

[0351] The server calls the emotion engine and analyzes the user's emotions during the search.

[0352] Input: Idea provider data at the time of search

[0353] Output: Parsed emotion data

[0354] Step 3:

[0355] The server suggests optimal prompts based on the emotional data and search criteria.

[0356] Input: Emotion data, search criteria

[0357] Output: Suggested prompt

[0358] Step 4:

[0359] The server searches the database based on the search criteria and retrieves matching prompts.

[0360] Input: Search criteria

[0361] Output: Search results (prompt list)

[0362] Step 5:

[0363] The server returns the search results in JSON format to the device, which displays them.

[0364] Input: Search results

[0365] Output: List of displayed prompts

[0366] Step 6:

[0367] The idea contributor selects a prompt that interests them from the list of prompts displayed.

[0368] Input: Prompt List

[0369] Output: Selected prompt

[0370] Matching and Usage Processing

[0371] Step 1:

[0372] The prompts selected by the idea provider are used as input data for the generative AI model.

[0373] Input: Selected prompt

[0374] Output: Input data to the generative AI model

[0375] Step 2:

[0376] The server uses an emotion engine to analyze the sent prompts and optimize them to the user's emotion.

[0377] Input: prompt, user emotion data

[0378] Output: Optimized prompt

[0379] Step 3:

[0380] The server invokes a generative AI model (e.g., GPT-3) and generates ideas using the optimized prompts as input.

[0381] Input: Optimized prompts

[0382] Output: Generated ideas

[0383] Step 4:

[0384] The terminal receives the generated ideas and displays them to the idea provider.

[0385] Input: Generated ideas

[0386] Output: Displayed ideas

[0387] Feedback and rating process

[0388] Step 1:

[0389] The idea submitter visits the feedback page and enters their rating and comments on the prompt.

[0390] Input: Rating, Comment

[0391] Output: Input feedback information

[0392] Step 2:

[0393] The terminal sends feedback information to the server.

[0394] Input: Feedback information

[0395] Output: HTTPS request to the server

[0396] Step 3:

[0397] The server calls the emotion engine and analyzes the emotion at the time of feedback input.

[0398] Input: User data when entering feedback

[0399] Output: Parsed emotion data

[0400] Step 4:

[0401] The server adds emotional data to the feedback and stores it in a database.

[0402] Input: Feedback information, emotion data

[0403] Output: Feedback stored in a database

[0404] Step 5:

[0405] The server updates the prompt provider's rating profile with the stored feedback information.

[0406] Input: Feedback information

[0407] Output: Updated assessment profile

[0408] Through the above processing steps, the system proposes prompts that take into account the user's emotions, generates ideas, and collects and evaluates feedback.

[0409] (Application example 2)

[0410] 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."

[0411] Conventional prompt delivery systems have difficulty efficiently matching idea creators with prompt providers, and lack a means to provide optimal prompts based on the user's emotions. This makes it difficult for idea creators to find and effectively use the prompts they need. Furthermore, they lack sufficient feedback and evaluation functions to improve the quality and relevance of prompts.

[0412] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to create an account and input basic information, means for a prompt provider to input and send the content and details of a prompt, means for saving the prompt information in a database and reflecting it in a list, means for an emotion engine to recognize the user's emotional state and save that information in a database, and means for the server to suggest the optimal prompt based on the user's emotional state. This enables the user to efficiently find the prompt they need and use the optimal prompt according to their emotion.

[0413] A "user" is someone who uses the system, such as an idea creator or a prompt provider.

[0414] An "account" refers to a registration state for holding a user's identification information.

[0415] "Basic information" refers to information such as name, email address, and password that a user enters when creating an account.

[0416] A "prompt" is input information in the form of text or a question that is provided to an ideation or generative AI model.

[0417] A "prompt provider" is a person who creates the content of a prompt and provides it to the system.

[0418] A "server" is a computer system that stores, processes, and distributes data.

[0419] A "database" is a collection of data managed and stored within a system.

[0420] A "list" is a summary table for displaying prompt information stored in a database.

[0421] An "emotion engine" is software or a system for recognizing a user's emotional state and storing that information in a database.

[0422] An "evaluation" is part of the feedback a user gives to a prompt they have used, and is an opinion provided in the form of a number or comment.

[0423] "Feedback" refers to the opinions and thoughts that users give to the system or prompts.

[0424] A "rating profile" is information that accumulates and displays the ratings of other users for a prompt provider.

[0425] "Emotional state" refers to the user's emotions and moods at any given time.

[0426] The "best prompt" is the prompt that best matches the user's emotional state and search criteria.

[0427] The system of the present invention aims to recognize the emotional state of a user using an emotion engine and efficiently match idea creators with prompt providers based on that state. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[0428] User registration

[0429] First, a user accesses the account creation page and enters basic information (username, email address, password). Once the user input information is entered, the device sends the information to the server. The server verifies the received information and sends a confirmation email. After receiving the confirmation email, the account is activated and the emotion engine recognizes the user's emotional state and stores that information in the database.

[0430] Registering a prompt

[0431] Next, the prompt giver accesses the prompt registration page and enters the prompt content, title, category, etc. The entered information is sent from the device to the server. The server verifies the content and records the prompt giver's emotional state when saving it to the database. Once the prompt is saved in the database, it is reflected in the list and can be searched and viewed by other users.

[0432] Search and select prompts

[0433] When an idea creator searches for a prompt, they first access the prompt search page and perform a search by specifying a category or keyword. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. The suggested prompts are displayed on the device as search results, and the idea creator can select the appropriate prompt from among them.

[0434] Feedback and Ratings

[0435] After using a prompt, the idea creator accesses the feedback page and enters their rating and comments. The device sends this information to the server, where the emotion engine recognizes the user's emotions when providing feedback and stores them in a database. This feedback information is reflected in the prompt creator's rating profile and can be used as reference when other users judge the quality of the prompt.

[0436] Hardware and software used

[0437] Hardware: Smartphones, servers

[0438] software:

[0439] Emotion engine: emotion_engine(tentative)

[0440] Database management system: video_db, user_db

[0441] Web server framework: Flask or Django

[0442] Specific examples

[0443] For example, when User A creates an account and enters basic information, the server sends a confirmation email and records the user's emotional state as "excitement" in the emotion engine. Next, Prompt Provider B registers a prompt for "Generate a new product idea" and records the emotional state at that time as "enjoyment." When Idea Creator C searches for prompts in the "Business" category, the emotion engine recognizes the user's emotion as "interest" and suggests the most appropriate prompt based on that.

[0444] Specific prompt examples

[0445] "I'm tired today. I recommend some fun videos to help me relax."

[0446] "I'm looking for inspiring videos that will lift my spirits."

[0447] This system allows users to use prompts that are optimally tailored to their emotional state at the time, enabling effective idea generation. Prompter providers can also receive high-quality feedback that can be used to improve their prompts.

[0448] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0449] Step 1:

[0450] A user accesses the account creation page and enters basic information (username, email address, password). The input data is sent from the device to the server. The server verifies the received basic information and sends a confirmation email. The emotion engine recognizes the user's emotional state and stores that information in a database.

[0451] Input: Username, Email Address, Password

[0452] Data processing: Verification of input information

[0453] Data Computing: Recognizing Emotional States with an Emotion Engine

[0454] Output: Send confirmation email, save emotional information

[0455] Step 2:

[0456] The prompt provider accesses the prompt registration page and enters the prompt title, content, category, etc. The input data is sent from the terminal to the server. The server verifies the entered prompt information and stores it in a database. The emotion engine recognizes the prompt provider's emotional state and adds that information to the prompt data.

[0457] Input: Prompt title, content, category

[0458] Data processing: Prompt information verification

[0459] Data Computing: Recognizing Emotional States with an Emotion Engine

[0460] Output: Save to database, add emotion information

[0461] Step 3:

[0462] The idea creator accesses the prompt search page and searches for prompts by entering categories and keywords. The input data is sent from the device to the server. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. It then searches the database and returns the search results to the device.

[0463] Input: Category, Keywords

[0464] Data processing: Database search based on search criteria

[0465] Data Computation: Emotional state recognition by emotion engine and suggesting optimal prompts

[0466] Output: Suggests the best prompts, returns search results

[0467] Step 4:

[0468] The idea creator selects prompts and runs the generative AI model to generate ideas, which are then displayed on the device.

[0469] Input: Selected prompt

[0470] Data processing: Idea generation using generative AI models

[0471] Data Computing: Running Generative AI Models

[0472] Output: Display of generated ideas

[0473] Step 5:

[0474] The idea creator accesses the feedback page for the prompt they used and enters their rating and comments. The input data is sent from the device to the server. The emotion engine recognizes the user's emotion when giving feedback and adds that information to the rating. The server saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[0475] Input: Rating, Comment

[0476] Data Processing: Feedback Storage

[0477] Data Computing: Recognizing Emotional States with an Emotion Engine

[0478] Output: Reflection in evaluation profile

[0479] In this way, it is possible to provide optimal prompts according to the user's emotional state, and to generate ideas and process feedback based on those prompts.

[0480] 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.

[0481] 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.

[0482] 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.

[0483] [Second embodiment]

[0484] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0485] 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.

[0486] 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).

[0487] 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.

[0488] 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.

[0489] 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).

[0490] 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.

[0491] 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.

[0492] 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.

[0493] 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.

[0494] 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.

[0495] 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."

[0496] This invention is a system that efficiently matches idea creators with prompt providers. This system allows idea creators to efficiently find the prompts they need and use them to generate new ideas. This system includes the processes of user registration, prompt registration, prompt search and selection, matching and use, and feedback and evaluation.

[0497] User Registration

[0498] The user accesses the account creation page and enters basic information such as username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if the verification is successful, stores it in a database. Once registration is complete, the server sends a confirmation email.

[0499] Registering a prompt

[0500] The user (prompt provider) accesses the prompt registration page and enters the title, content, category, etc. of the prompt. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in the database. The saved prompt is reflected in the prompt list and can be searched by other users.

[0501] Search and select prompts

[0502] The user (idea provider) accesses the prompt search page and searches for prompts by entering categories or keywords. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[0503] Matching and Use

[0504] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The more detailed the prompts, the better the quality of the ideas.

[0505] Feedback and Ratings

[0506] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device sends this information to the server. The server stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to check the quality of the prompt, and the prompt provider can see the rating of their own prompt.

[0507] Specific examples

[0508] For example, User A creates an account, enters basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database.

[0509] When User C searches for prompts in the "Business" category, Prompt Provider B's prompt appears in the search results. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment, "It was helpful, but a little more detail would have been better."

[0510] This rating will be reflected in prompt provider B's profile and will help other users choose prompts.

[0511] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts.

[0512] The processing flow will be explained below.

[0513] Step 1:

[0514] A user visits the account creation page and enters basic information such as username, email address, and password.

[0515] Step 2:

[0516] The terminal transmits the input information to the server.

[0517] Step 3:

[0518] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[0519] Step 4:

[0520] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[0521] Step 5:

[0522] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[0523] Step 6:

[0524] The terminal sends the entered prompt information to the server.

[0525] Step 7:

[0526] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[0527] Step 8:

[0528] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[0529] Step 9:

[0530] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[0531] Step 10:

[0532] The terminal sends the search criteria to the server.

[0533] Step 11:

[0534] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[0535] Step 12:

[0536] The user (idea provider) selects the prompt of interest from the search results.

[0537] Step 13:

[0538] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[0539] Step 14:

[0540] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[0541] Step 15:

[0542] The terminal transmits the evaluation information to the server.

[0543] Step 16:

[0544] The server stores the feedback information in a database and reflects it in the prompter's rating profile.

[0545] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide, use, and evaluate prompts.

[0546] Example 1

[0547] 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."

[0548] Conventional idea generation systems have had issues with finding effective prompts easily and efficiently matching prompt providers with idea creators. Furthermore, there are concerns that the quality of prompts may decline because prompt evaluations and feedback intended to improve the quality of generated ideas are not properly reflected.

[0549] 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.

[0550] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a prompt provider to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for an idea creator to search for and select a prompt they need; a means for the server to return matching prompts based on search criteria; a means for executing a generative AI model using the prompt selected by the idea creator; a means for sending evaluations and feedback for the prompts used by the idea creator; and a means for the server to reflect the evaluation information in the prompt provider's evaluation profile. This enables efficient matching between idea creators and prompt providers and improves the quality of generated ideas.

[0551] A "user" is an individual or corporation that uses the system to create an account and performs operations such as registering, searching, using, and rating prompts.

[0552] A "prompt provider" is an individual or legal entity responsible for entering prompts into the system and making them available to other users.

[0553] An "idea creator" is an individual or entity that uses the system to search for and select prompts and generate ideas using a generative AI model.

[0554] A "server" is a computer system that is responsible for functions such as data processing for the entire system, storing information, retrieving prompts, and reflecting evaluation information.

[0555] A "generative AI model" is an artificial intelligence that generates new ideas and content based on input prompts.

[0556] A "prompt sentence" is text data provided to a generative AI model, and is the information that forms the basis for idea generation.

[0557] "Basic information" refers to information such as a username, email address, and password that a user enters when creating an account.

[0558] A "database" is an information system that manages prompt information, user information, evaluation information, and other information in an integrated manner within a server.

[0559] "Feedback" refers to the evaluation or comments that idea creators make on a prompt after using it.

[0560] The "rating profile" is a function that accumulates and displays information on ratings and feedback for prompts registered by prompt providers.

[0561] The present invention is a system that efficiently matches idea creators with prompt providers. This system allows users to create an account and register, search, use, and rate prompts. Implementation of the system requires a server, a terminal, and a generative AI model. The specific implementation procedure for the system is described below.

[0562] User registration

[0563] First, a user accesses the account creation page and enters basic information such as username, email address, and password. This basic information is sent from the device to the server. The server verifies the received information and, if the verification is successful, stores the information in a database. Once registration is complete, the server sends a confirmation email to the user's email address. For example, if User A enters "userA," "userA@example.com," and "password123" and presses the registration button, the device sends the information to the server, which verifies the information, stores it in the database, and then sends a confirmation email.

[0564] Enforce prompt registration

[0565] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or the "Business" category. This information is sent from the terminal to the server. The server verifies the entered information and, if there are no problems, saves it in the database. The saved prompt is reflected in the prompt list so that other users can search for it.

[0566] Implementing search and select prompts

[0567] Idea providers access the prompt search page and search for prompts by entering categories and keywords. For example, they enter the "business" category or the keywords "product ideas." The device sends these search criteria to the server. The server queries the database based on the received criteria, searches for matching prompts, and returns them to the device. The user then selects the prompt of interest from the displayed search results.

[0568] Matching and utilization

[0569] The idea provider runs the generative AI model using a selected prompt. For example, they might enter, "Please tell me some new eco-friendly product ideas." The generative AI model generates ideas based on this prompt, and the generated ideas are displayed on the user's device. A natural language processing model such as GPT-3 is used as the AI ​​model.

[0570] Feedback and evaluation

[0571] The idea provider accesses a page where they can rate and submit feedback on the prompt they used. On the feedback page, users type "It was helpful, but a little more detail would have been better" and press the submit button. The device sends this information to the server, which then stores the feedback information in a database. This rating is reflected in the prompt provider's rating profile, allowing other users to check the quality of the prompt.

[0572] By using this system, idea creators can efficiently find the prompts they need and improve the quality of the ideas they generate. Prompter providers can also learn the evaluation of their prompts and provide even higher quality prompts based on the feedback.

[0573] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0574] Step 1:

[0575] The user accesses the account creation page and enters basic information such as username, email address, and password. The entered basic information is sent from the device to the server. The device sends this data to the server in JSON format using the HTTP POST method. The server receives the input data (username, email address, and password) and validates the format. If the validation is successful, a success message is returned as output, and if it fails, an error message is returned.

[0576] Step 2:

[0577] The server validates the received basic information. Specifically, it checks whether the email address format is correct and whether the username is a duplicate of existing data. The input is the basic information received earlier, and the output is the validation result. If the validation is successful, the server saves the information to the database. This save operation uses the SQL INSERT statement. Once the save is complete, the server returns a success status to the terminal.

[0578] Step 3:

[0579] The server generates a confirmation email and sends it to the user's email address. The input is the user's email address and a template for the confirmation message, and the output is the email that has been sent. Specifically, the server sends the email using the SMTP protocol. Once the confirmation email is sent, the user knows that their registration has been completed.

[0580] Step 4:

[0581] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or "Business" category. This information is sent from the terminal to the server. The input data is the detailed information of the prompt, and the terminal sends it using the HTTP POST method.

[0582] Step 5:

[0583] The server validates the entered prompt information. Specifically, it checks whether the prompt content is appropriate and whether it is duplicated. The input is the prompt details, and the output is the validation result. If the validation is successful, it is saved in the database. This operation uses the SQL INSERT statement. After saving is complete, the server returns a success message to the terminal.

[0584] Step 6:

[0585] The saved prompt information is reflected in the database and displayed in the prompt list. This allows other users to search for prompts. The user accesses the prompt search page and enters search criteria (categories and keywords). The input data is the search criteria, and the terminal sends it to the server using the HTTP GET method.

[0586] Step 7:

[0587] The server queries the database based on the search criteria to find matching prompts. The input is the search criteria, and the server queries the database using an SQL SELECT statement. The output is the search results, which the server returns to the terminal.

[0588] Step 8:

[0589] The user selects a prompt of interest from the displayed search results. Details of the selected prompt are displayed on the device. The user then runs the generative AI model using the selected prompt. For example, the user might enter, "Please tell me some new eco-friendly product ideas." The input data is the prompt text, which the device then sends to the generative AI model.

[0590] Step 9:

[0591] The generative AI model generates ideas based on the input prompt. Specifically, the generative AI model (e.g., GPT-3) uses a natural language processing algorithm to generate a response. The input data is the prompt, and the output is the generated idea. The generated idea is displayed on the device.

[0592] Step 10:

[0593] The idea provider accesses a page to submit their evaluation and feedback for the prompt they used. The input is the feedback content, which the device sends to the server. The device uses the HTTP POST method to send data in JSON format.

[0594] Step 11:

[0595] The server validates the received feedback information and stores it in the database. The input data is the feedback content, which is saved as evaluation information in the database after validation. SQL INSERT statements are used to save the information.

[0596] Step 12:

[0597] The feedback information is reflected in the prompter's rating profile, allowing other users to see the quality of the prompt and allowing the prompter to know how their prompt was rated. The input data is the saved rating profile, and the output is the updated rating profile.

[0598] (Application example 1)

[0599] 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."

[0600] It is difficult for idea creators and prompt providers to efficiently find optimal prompts, and content creators in particular face the problem of spending time and effort searching for appropriate prompts to generate new content ideas. To improve the quality of generated content ideas, a system is needed that efficiently searches for prompts, generates ideas using AI, and reflects the results as feedback.

[0601] 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.

[0602] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a content creator to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for the content creator to search for and select a prompt they need; a means for the server to return prompts that match the search criteria; a means for the content creator to use the prompt selected by the content creator; a means for generating new content ideas using a generative AI model; a means for sending ratings and feedback for the prompts used by the content creator; and a means for the server to update the rating information in the prompt provider's rating profile. This enables content creators to efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[0603] An "idea creator" is a user whose purpose is to generate new ideas and content.

[0604] A "prompt provider" is a user who provides a prompt that serves as a clue for idea generation to the idea creator.

[0605] "Matching" is a process where idea creators and prompters find the best prompt for each other.

[0606] When a "user" creates an account and inputs basic information, this means registering information such as a username, email address, and password.

[0607] Entering and sending the "prompt content" and its details means filling in information such as the title, content, and category of the prompt and sending it to the system.

[0608] The "server" saving the prompt information in the database and reflecting it in the list means that the received prompt information is added to the server's database and displayed in a list that can be viewed by other users.

[0609] An "author" searches for and selects the prompt they need by locating the appropriate prompt from a list of prompts and selecting it.

[0610] A "generative AI model" is an artificial intelligence model that automatically generates new ideas and content based on provided prompts.

[0611] "Feedback and evaluation" refers to returning feedback and suggestions for improvement to the provider regarding the prompt used.

[0612] A "rating profile" is a collection of prompter ratings and feedback.

[0613] This invention is a system that efficiently matches idea creators with prompt providers, and is particularly useful for generating new content ideas for content creators. The system includes procedures for users to create an account, register and search prompts, generate ideas using a generative AI model, and provide feedback on the results.

[0614] Hardware and software used

[0615] Hardware: Smartphones, servers

[0616] Software: Flask (Python web framework), RESTful API, generative AI models (e.g., GPT-4)

[0617] System Operation

[0618] 1. User Registration:

[0619] A user accesses the account creation page using their smartphone and enters basic information (username, email address, password, etc.). The device sends this information to the server, which verifies and stores it. Once registration is complete, a confirmation email is sent from the server.

[0620] 2. Register prompt:

[0621] Prompt providers access the prompt registration page using their smartphones, enter the required information (prompt title, content, category, etc.), and submit it. The server stores this information in a database and reflects it in the prompt list.

[0622] 3. Search and select prompt:

[0623] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The server searches the database for matching prompts based on the search criteria and returns the results to the device. Content creators then select the prompts they are interested in.

[0624] 4. Matching and Utilization:

[0625] Using prompts selected by content creators, generative AI models are run to generate new content ideas. The more detailed the prompts, the better the quality of the generated content ideas.

[0626] 5. Feedback and Rating:

[0627] The content creator accesses the feedback page for the prompt they used and enters their rating and comments. The device sends the information to the server, which then stores the feedback information in a database and reflects it in the prompt provider's rating profile.

[0628] Examples of concrete examples and prompts

[0629] For example, Content Creator A creates an account, enters some basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "New Cooking Recipe Video Ideas." This prompt is categorized under "Video Creation" and saved in the database.

[0630] When Content Creator C searches for prompts in the "video production" category, the prompt provided by Prompt Provider B appears in the search results. Content Creator C selects this prompt and uses it to generate new cooking recipe video ideas.

[0631] An example of a prompt used is:

[0632] "Submit a new cooking recipe video idea. Submit a new recipe idea that combines three different culinary cultures. Include an easy-to-follow, visually appealing presentation method."

[0633] In this way, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[0634] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0635] Step 1:

[0636] User Registration

[0637] A user accesses the account creation page using a smartphone and enters basic information (username, email address, password, etc.). The input data is sent from the device to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server to the user's email address.

[0638] Input: Username, Email Address, Password

[0639] Output: Send confirmation email, save to database

[0640] Step 2:

[0641] Registering a prompt

[0642] The prompt provider accesses the prompt registration page using a smartphone, enters the required information (prompt title, content, category, etc.), and submits it. The input data is sent from the device to the server, which stores it in a database and reflects it in the prompt list.

[0643] Input: Prompt title, content, category

[0644] Output: Save prompt information and reflect it in the prompt list

[0645] Step 3:

[0646] Search prompts

[0647] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The entered search criteria are sent from the device to the server, which searches the database and returns matching prompts to the device. The content creator selects the prompts that interest them.

[0648] Input: Search criteria (category, keyword)

[0649] Output: Search results (list of prompts)

[0650] Step 4:

[0651] Using prompts

[0652] The content creator uses the selected prompts to generate new content ideas using a generative AI model, and the server runs the generative AI model based on the selected prompts and returns the generated ideas to the device.

[0653] Input: Selected prompt

[0654] Output: Generated content ideas

[0655] Step 5:

[0656] Feedback and Ratings

[0657] Content creators access the feedback page for the prompts they have used and enter their ratings and comments. The entered feedback information is sent from the device to the server, which stores it in a database and reflects it in the prompt provider's rating profile.

[0658] Input: Rating, Comment

[0659] Output: Reflection in evaluation profile

[0660] Through these steps, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[0661] 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.

[0662] The present invention is a system that efficiently matches idea creators with prompt providers, and further optimizes the provision and use of prompts by combining it with an emotion engine that recognizes the user's emotions. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[0663] User Registration

[0664] A user accesses the account creation page and enters basic information such as a username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server. During this process, the emotion engine recognizes the user's emotions and stores the information.

[0665] Registering a prompt

[0666] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list, making it searchable by other users. The server recognizes the prompt provider's emotion during registration and assigns that information to the prompt.

[0667] Search and select prompts

[0668] When a user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword, the emotion engine recognizes the user's current emotion. Based on the recognized emotion, the server suggests the most suitable prompt. It also searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[0669] Matching and Use

[0670] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The emotion engine optimizes the details of the prompts according to the user's emotions, improving the quality of the generated ideas. The generated ideas are then displayed on the device.

[0671] Feedback and Ratings

[0672] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device then sends this information to the server. The emotion engine recognizes the user's emotions when entering the feedback and adds this information to the rating. The server then stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to refer to the evaluator's emotions when checking the quality of the prompt.

[0673] Specific examples

[0674] For example, after User A creates an account and enters basic information, he receives a confirmation email. At this time, the emotion engine records User A's emotional state as "Excited." Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database. The emotion engine also records Prompt Provider B's emotional state.

[0675] When User C searches for prompts in the "Business" category, the emotion engine recognizes User C's emotion as "interest" and suggests the most suitable prompt based on that. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment "It was helpful, but a little more detail would have been better." At this time, the emotion engine records User C's emotion as "Satisfied" and adds it to the rating.

[0676] This evaluation is reflected in prompt provider B's profile and can be used as a reference when other users choose prompts. In addition, the collected emotional data can be used to more accurately analyze the effectiveness of each prompt and user reactions.

[0677] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts through emotion recognition.

[0678] The processing flow will be explained below.

[0679] Step 1:

[0680] A user visits the account creation page and enters basic information such as username, email address, and password.

[0681] Step 2:

[0682] The terminal transmits the input information to the server.

[0683] Step 3:

[0684] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[0685] Step 4:

[0686] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[0687] Step 5:

[0688] The emotion engine in the server analyzes the user's input information and behavior to recognize the user's emotions, which are then saved in the user profile.

[0689] Step 6:

[0690] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[0691] Step 7:

[0692] The terminal sends the entered prompt information to the server.

[0693] Step 8:

[0694] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[0695] Step 9:

[0696] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[0697] Step 10:

[0698] The emotion engine in the server analyzes the prompt provider's input information and recognizes the provider's emotion. This information is also added to the prompt data.

[0699] Step 11:

[0700] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[0701] Step 12:

[0702] The terminal sends the search criteria to the server.

[0703] Step 13:

[0704] The emotion engine in the server recognizes the user's current emotion, and based on this information, the server suggests the most appropriate prompt.

[0705] Step 14:

[0706] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[0707] Step 15:

[0708] The user (idea provider) selects the prompt of interest from the search results.

[0709] Step 16:

[0710] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[0711] Step 17:

[0712] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[0713] Step 18:

[0714] The terminal transmits the evaluation information to the server.

[0715] Step 19:

[0716] The emotion engine in the server recognizes the user's emotions when entering feedback and adds that information to the evaluation.

[0717] Step 20:

[0718] The server stores the feedback information in a database and reflects it in the prompter's rating profile, which is then reflected in the prompt list and used to improve the accuracy of future prompt suggestions.

[0719] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide and use prompts and provide optimal feedback based on emotional information.

[0720] Example 2

[0721] 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."

[0722] The present invention aims to improve the quality of idea generation by efficiently matching idea creators and prompt providers and optimizing the provision and use of prompts by recognizing user emotions. Conventional systems provide prompts without considering the user's emotions, resulting in low user satisfaction and a decline in the quality of generated ideas. Furthermore, when collecting evaluations and feedback, the user's emotional state is not reflected, resulting in unreliable evaluation results.

[0723] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0724] In this invention, the server includes: means for a user to create an account and input basic information; means for a prompt provider to input and send the content and details of a prompt; means for the server to save the prompt information in a database and reflect it in a list; means for the idea creator to search for and select a required prompt; means for the server to return matching prompts based on search conditions; means for the idea creator to use the prompt selected; means for sending evaluations and feedback for the prompt used by the idea creator; means for the server to reflect the evaluation information in the evaluation profile of the prompt provider; and means for an emotion engine to recognize the emotions of the user and the prompt provider and add that information to the prompt and feedback.

[0725] This provides optimal prompts based on the user's emotions, improving the quality of the ideas generated, and also improving the reliability of the evaluation results because emotional information is added to the evaluation and feedback.

[0726] "User" refers to any person who uses the system to create an account and search, select, and rate prompts.

[0727] A "prompt provider" is someone who creates a prompt and registers it in the system.

[0728] "Idea creator" refers to a person who generates ideas using prompts found in the system.

[0729] "Server" refers to equipment or software that manages data for the entire system and processes information in response to user requests.

[0730] "Database" refers to data storage that structures and stores prompt information, user information, etc. within the system.

[0731] An "emotion engine" refers to software that has the ability to recognize a user's emotional state and reflect that information in prompts and feedback.

[0732] "Generative AI model" refers to an artificial intelligence model that generates ideas using prompts as input.

[0733] A "prompt" refers to input data that a user uses to generate ideas.

[0734] "Evaluation" refers to the act of a user recording their satisfaction or feedback regarding the prompt used by the idea creator.

[0735] This invention is a system that efficiently matches idea creators and prompt providers by taking into account user emotions, and optimizes the provision and use of prompts by combining an emotion engine. To implement this system, a server, a terminal, an emotion engine, and a generative AI model are combined and built.

[0736] Hardware and Software Configuration

[0737] Server: The server manages the system-wide data and processes information in response to user requests. The server has a database for storing prompts and user information, and runs web server software (e.g., Apache or nginx) to handle HTTPS requests.

[0738] Terminal: The terminal used by users to access the system is a device that can connect to the Internet, such as a PC, smartphone, or tablet. A browser is installed on the terminal, and users access the system through this browser.

[0739] Emotion engine: The emotion engine is software that recognizes the user's emotional state and reflects that information in prompts and feedback. Specifically, it uses text analysis APIs and image analysis APIs (e.g., Microsoft Azure Emotion API, IBM Watson Tone Analyzer, etc.).

[0740] Generative AI models: These are artificial intelligence models that generate ideas using prompts as input, such as OpenAI's GPT-3 and Google's BERT.

[0741] System processing flow

[0742] User registration: The user accesses the account creation page and enters basic information such as username, email address, and password. The device sends this information to the server, which verifies the information and stores it in a database. After registration is complete, the server sends a confirmation email to the user, and the emotion engine analyzes and stores the user's emotions.

[0743] Prompt registration: The prompt provider registers the prompt by entering the title, content, category, etc. The device sends this information to the server, which verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list and becomes searchable by other users. The emotion engine analyzes the prompt provider's emotion and assigns that information to the prompt.

[0744] Prompt search and selection: The idea provider accesses the prompt search page and performs a search by entering categories and keywords. The server uses an emotion engine to analyze the user's emotions and suggests the most appropriate prompt based on that information. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user selects the prompt of interest from the search results.

[0745] Matching and utilization: The generative AI model is run using the prompt selected by the idea provider as input to generate ideas. The emotion engine optimizes the details of the prompt according to the user's emotions, and the generated ideas are displayed on the device.

[0746] Feedback and rating: The idea provider accesses the feedback page and enters their rating and comments. The device sends this information to the server, which uses an emotion engine to analyze the emotion at the time of feedback entry and assigns this information to the rating. The server then saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[0747] Specific examples

[0748] For example, a user creates a new account and enters the necessary basic information to register. During this registration, the system uses the emotion engine to record the user's emotion as "excitement." Next, a prompt provider registers a prompt for "generating new product ideas" in the business category. During this registration, the system also records the provider's emotion.

[0749] When the idea provider then searches for prompts in the business category, the system recognizes the provider's emotional state of "interest" and suggests the most suitable prompt. The idea provider selects the suggested prompt and generates a new product idea. In response to the generated idea, the idea provider sends a comment saying, "It was helpful, but a little more detail would have been better." In this case, the system records the emotion as "satisfied" and reflects it in the evaluation.

[0750] An example of a prompt sentence is "I want to generate a new business idea. I'm feeling excited." In this way, the most appropriate prompt is provided based on the user's emotions, improving the quality of the ideas generated and the reliability of the evaluation results.

[0751] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0752] Program processing steps

[0753] Handling user registration

[0754] Step 1:

[0755] A user opens a browser and visits the account creation page, entering basic information such as username, email address, and password.

[0756] Input: Username, Email Address, Password

[0757] Output: Basic information entered

[0758] Step 2:

[0759] The device sends the entered basic information to the server as an HTTPS request.

[0760] Input: Basic information

[0761] Output: HTTPS request to the server

[0762] Step 3:

[0763] The server receives the request and validates the format and content of the input information, for example, by checking the format of the email address or the strength of the password.

[0764] Input: HTTPS request with basic information

[0765] Output: Verification results

[0766] Step 4:

[0767] If the server is successful in the verification, it saves the basic information in the database.

[0768] Input: Verified basic information

[0769] Output: Basic information stored in the database

[0770] Step 5:

[0771] The server sends a confirmation email to the user via the SMTP server.

[0772] Input: Email address

[0773] Output:Confirmation email

[0774] Step 6:

[0775] The server calls the emotion recognition API, analyzes the user's emotions, and stores the information.

[0776] Input: User data when entering basic information

[0777] Output: Parsed emotion data

[0778] Handling prompt registrations

[0779] Step 1:

[0780] The prompt provider accesses the prompt registration page in a browser and enters the prompt title, content, category, etc.

[0781] Input: Prompt title, content, category

[0782] Output: Entered prompt information

[0783] Step 2:

[0784] The terminal sends the entered prompt information to the server as an HTTPS request.

[0785] Input: Prompt Information

[0786] Output: HTTPS request to the server

[0787] Step 3:

[0788] The server validates the prompt information entered, for example checking the length of the title and whether there is any content.

[0789] Input: HTTPS request for prompt information

[0790] Output: Verification results

[0791] Step 4:

[0792] The server saves the validated prompt information in a database.

[0793] Input: Validated prompt information

[0794] Output: Prompt information stored in the database

[0795] Step 5:

[0796] The server adds the saved prompt to the index and updates the prompt list.

[0797] Input: Prompt Information

[0798] Output: Updated prompt list

[0799] Step 6:

[0800] The server recognizes the prompter's emotion and adds that information to the prompt.

[0801] Input: Prompt provider data when registering a prompt

[0802] Output: A prompt with the parsed emotion data.

[0803] Handling search and select prompts

[0804] Step 1:

[0805] The idea provider accesses the prompt search page in a browser and enters search criteria such as categories and keywords.

[0806] Input: Search criteria (category, keyword)

[0807] Output: Search criteria entered

[0808] Step 2:

[0809] The server calls the emotion engine and analyzes the user's emotions during the search.

[0810] Input: Idea provider data at the time of search

[0811] Output: Parsed emotion data

[0812] Step 3:

[0813] The server suggests optimal prompts based on the emotional data and search criteria.

[0814] Input: Emotion data, search criteria

[0815] Output: Suggested prompt

[0816] Step 4:

[0817] The server searches the database based on the search criteria and retrieves matching prompts.

[0818] Input: Search criteria

[0819] Output: Search results (prompt list)

[0820] Step 5:

[0821] The server returns the search results in JSON format to the device, which displays them.

[0822] Input: Search results

[0823] Output: List of displayed prompts

[0824] Step 6:

[0825] The idea contributor selects a prompt that interests them from the list of prompts displayed.

[0826] Input: Prompt List

[0827] Output: Selected prompt

[0828] Matching and Usage Processing

[0829] Step 1:

[0830] The prompts selected by the idea provider are used as input data for the generative AI model.

[0831] Input: Selected prompt

[0832] Output: Input data to the generative AI model

[0833] Step 2:

[0834] The server uses an emotion engine to analyze the sent prompts and optimize them to the user's emotion.

[0835] Input: prompt, user emotion data

[0836] Output: Optimized prompt

[0837] Step 3:

[0838] The server invokes a generative AI model (e.g., GPT-3) and generates ideas using the optimized prompts as input.

[0839] Input: Optimized prompts

[0840] Output: Generated ideas

[0841] Step 4:

[0842] The terminal receives the generated ideas and displays them to the idea provider.

[0843] Input: Generated ideas

[0844] Output: Displayed ideas

[0845] Feedback and rating process

[0846] Step 1:

[0847] The idea submitter visits the feedback page and enters their rating and comments on the prompt.

[0848] Input: Rating, Comment

[0849] Output: Input feedback information

[0850] Step 2:

[0851] The terminal sends feedback information to the server.

[0852] Input: Feedback information

[0853] Output: HTTPS request to the server

[0854] Step 3:

[0855] The server calls the emotion engine and analyzes the emotion at the time of feedback input.

[0856] Input: User data when entering feedback

[0857] Output: Parsed emotion data

[0858] Step 4:

[0859] The server adds emotional data to the feedback and stores it in a database.

[0860] Input: Feedback information, emotion data

[0861] Output: Feedback stored in a database

[0862] Step 5:

[0863] The server updates the prompt provider's rating profile with the stored feedback information.

[0864] Input: Feedback information

[0865] Output: Updated assessment profile

[0866] Through the above processing steps, the system proposes prompts that take into account the user's emotions, generates ideas, and collects and evaluates feedback.

[0867] (Application example 2)

[0868] 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."

[0869] Conventional prompt delivery systems have difficulty efficiently matching idea creators with prompt providers, and lack a means to provide optimal prompts based on the user's emotions. This makes it difficult for idea creators to find and effectively use the prompts they need. Furthermore, they lack sufficient feedback and evaluation functions to improve the quality and relevance of prompts.

[0870] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to create an account and input basic information, means for a prompt provider to input and send the content and details of a prompt, means for saving the prompt information in a database and reflecting it in a list, means for an emotion engine to recognize the user's emotional state and save that information in a database, and means for the server to suggest the optimal prompt based on the user's emotional state. This enables the user to efficiently find the prompt they need and use the optimal prompt according to their emotion.

[0871] A "user" is someone who uses the system, such as an idea creator or a prompt provider.

[0872] An "account" refers to a registration state for holding a user's identification information.

[0873] "Basic information" refers to information such as name, email address, and password that a user enters when creating an account.

[0874] A "prompt" is input information in the form of text or a question that is provided to an ideation or generative AI model.

[0875] A "prompt provider" is a person who creates the content of a prompt and provides it to the system.

[0876] A "server" is a computer system that stores, processes, and distributes data.

[0877] A "database" is a collection of data managed and stored within a system.

[0878] A "list" is a summary table for displaying prompt information stored in a database.

[0879] An "emotion engine" is software or a system for recognizing a user's emotional state and storing that information in a database.

[0880] An "evaluation" is part of the feedback a user gives to a prompt they have used, and is an opinion provided in the form of a number or comment.

[0881] "Feedback" refers to the opinions and thoughts that users give to the system or prompts.

[0882] A "rating profile" is information that accumulates and displays the ratings of other users for a prompt provider.

[0883] "Emotional state" refers to the user's emotions and moods at any given time.

[0884] The "best prompt" is the prompt that best matches the user's emotional state and search criteria.

[0885] The system of the present invention aims to recognize the emotional state of a user using an emotion engine and efficiently match idea creators with prompt providers based on that state. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[0886] User registration

[0887] First, a user accesses the account creation page and enters basic information (username, email address, password). Once the user input information is entered, the device sends the information to the server. The server verifies the received information and sends a confirmation email. After receiving the confirmation email, the account is activated and the emotion engine recognizes the user's emotional state and stores that information in the database.

[0888] Registering a prompt

[0889] Next, the prompt giver accesses the prompt registration page and enters the prompt content, title, category, etc. The entered information is sent from the device to the server. The server verifies the content and records the prompt giver's emotional state when saving it to the database. Once the prompt is saved in the database, it is reflected in the list and can be searched and viewed by other users.

[0890] Search and select prompts

[0891] When an idea creator searches for a prompt, they first access the prompt search page and perform a search by specifying a category or keyword. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. The suggested prompts are displayed on the device as search results, and the idea creator can select the appropriate prompt from among them.

[0892] Feedback and Ratings

[0893] After using a prompt, the idea creator accesses the feedback page and enters their rating and comments. The device sends this information to the server, where the emotion engine recognizes the user's emotions when providing feedback and stores them in a database. This feedback information is reflected in the prompt creator's rating profile and can be used as reference when other users judge the quality of the prompt.

[0894] Hardware and software used

[0895] Hardware: Smartphones, servers

[0896] software:

[0897] Emotion engine: emotion_engine(tentative)

[0898] Database management system: video_db, user_db

[0899] Web server framework: Flask or Django

[0900] Specific examples

[0901] For example, when User A creates an account and enters basic information, the server sends a confirmation email and records the user's emotional state as "excitement" in the emotion engine. Next, Prompt Provider B registers a prompt for "Generate a new product idea" and records the emotional state at that time as "enjoyment." When Idea Creator C searches for prompts in the "Business" category, the emotion engine recognizes the user's emotion as "interest" and suggests the most appropriate prompt based on that.

[0902] Specific prompt examples

[0903] "I'm tired today. I recommend some fun videos to help me relax."

[0904] "I'm looking for inspiring videos that will lift my spirits."

[0905] This system allows users to use prompts that are optimally tailored to their emotional state at the time, enabling effective idea generation. Prompter providers can also receive high-quality feedback that can be used to improve their prompts.

[0906] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0907] Step 1:

[0908] A user accesses the account creation page and enters basic information (username, email address, password). The input data is sent from the device to the server. The server verifies the received basic information and sends a confirmation email. The emotion engine recognizes the user's emotional state and stores that information in a database.

[0909] Input: Username, Email Address, Password

[0910] Data processing: Verification of input information

[0911] Data Computing: Recognizing Emotional States with an Emotion Engine

[0912] Output: Send confirmation email, save emotional information

[0913] Step 2:

[0914] The prompt provider accesses the prompt registration page and enters the prompt title, content, category, etc. The input data is sent from the terminal to the server. The server verifies the entered prompt information and stores it in a database. The emotion engine recognizes the prompt provider's emotional state and adds that information to the prompt data.

[0915] Input: Prompt title, content, category

[0916] Data processing: Prompt information verification

[0917] Data Computing: Recognizing Emotional States with an Emotion Engine

[0918] Output: Save to database, add emotion information

[0919] Step 3:

[0920] The idea creator accesses the prompt search page and searches for prompts by entering categories and keywords. The input data is sent from the device to the server. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. It then searches the database and returns the search results to the device.

[0921] Input: Category, Keywords

[0922] Data processing: Database search based on search criteria

[0923] Data Computation: Emotional state recognition by emotion engine and suggesting optimal prompts

[0924] Output: Suggests the best prompts, returns search results

[0925] Step 4:

[0926] The idea creator selects prompts and runs the generative AI model to generate ideas, which are then displayed on the device.

[0927] Input: Selected prompt

[0928] Data processing: Idea generation using generative AI models

[0929] Data Computing: Running Generative AI Models

[0930] Output: Display of generated ideas

[0931] Step 5:

[0932] The idea creator accesses the feedback page for the prompt they used and enters their rating and comments. The input data is sent from the device to the server. The emotion engine recognizes the user's emotion when giving feedback and adds that information to the rating. The server saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[0933] Input: Rating, Comment

[0934] Data Processing: Feedback Storage

[0935] Data Computing: Recognizing Emotional States with an Emotion Engine

[0936] Output: Reflection in evaluation profile

[0937] In this way, it is possible to provide optimal prompts according to the user's emotional state, and to generate ideas and process feedback based on those prompts.

[0938] 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.

[0939] 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.

[0940] 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.

[0941] [Third embodiment]

[0942] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0943] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0944] 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).

[0945] 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.

[0946] 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.

[0947] 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).

[0948] 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.

[0949] 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.

[0950] 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.

[0951] 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.

[0952] 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.

[0953] 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."

[0954] This invention is a system that efficiently matches idea creators with prompt providers. This system allows idea creators to efficiently find the prompts they need and use them to generate new ideas. This system includes the processes of user registration, prompt registration, prompt search and selection, matching and use, and feedback and evaluation.

[0955] User Registration

[0956] The user accesses the account creation page and enters basic information such as username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if the verification is successful, stores it in a database. Once registration is complete, the server sends a confirmation email.

[0957] Registering a prompt

[0958] The user (prompt provider) accesses the prompt registration page and enters the title, content, category, etc. of the prompt. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in the database. The saved prompt is reflected in the prompt list and can be searched by other users.

[0959] Search and select prompts

[0960] The user (idea provider) accesses the prompt search page and searches for prompts by entering categories or keywords. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[0961] Matching and Use

[0962] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The more detailed the prompts, the better the quality of the ideas.

[0963] Feedback and Ratings

[0964] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device sends this information to the server. The server stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to check the quality of the prompt, and the prompt provider can see the rating of their own prompt.

[0965] Specific examples

[0966] For example, User A creates an account, enters basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database.

[0967] When User C searches for prompts in the "Business" category, Prompt Provider B's prompt appears in the search results. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment, "It was helpful, but a little more detail would have been better."

[0968] This rating will be reflected in prompt provider B's profile and will help other users choose prompts.

[0969] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts.

[0970] The processing flow will be explained below.

[0971] Step 1:

[0972] A user visits the account creation page and enters basic information such as username, email address, and password.

[0973] Step 2:

[0974] The terminal transmits the input information to the server.

[0975] Step 3:

[0976] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[0977] Step 4:

[0978] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[0979] Step 5:

[0980] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[0981] Step 6:

[0982] The terminal sends the entered prompt information to the server.

[0983] Step 7:

[0984] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[0985] Step 8:

[0986] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[0987] Step 9:

[0988] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[0989] Step 10:

[0990] The terminal sends the search criteria to the server.

[0991] Step 11:

[0992] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[0993] Step 12:

[0994] The user (idea provider) selects the prompt of interest from the search results.

[0995] Step 13:

[0996] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[0997] Step 14:

[0998] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[0999] Step 15:

[1000] The terminal transmits the evaluation information to the server.

[1001] Step 16:

[1002] The server stores the feedback information in a database and reflects it in the prompter's rating profile.

[1003] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide, use, and evaluate prompts.

[1004] Example 1

[1005] 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."

[1006] Conventional idea generation systems have had issues with finding effective prompts easily and efficiently matching prompt providers with idea creators. Furthermore, there are concerns that the quality of prompts may decline because prompt evaluations and feedback intended to improve the quality of generated ideas are not properly reflected.

[1007] 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.

[1008] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a prompt provider to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for an idea creator to search for and select a prompt they need; a means for the server to return matching prompts based on search criteria; a means for executing a generative AI model using the prompt selected by the idea creator; a means for sending evaluations and feedback for the prompts used by the idea creator; and a means for the server to reflect the evaluation information in the prompt provider's evaluation profile. This enables efficient matching between idea creators and prompt providers and improves the quality of generated ideas.

[1009] A "user" is an individual or corporation that uses the system to create an account and performs operations such as registering, searching, using, and rating prompts.

[1010] A "prompt provider" is an individual or legal entity responsible for entering prompts into the system and making them available to other users.

[1011] An "idea creator" is an individual or entity that uses the system to search for and select prompts and generate ideas using a generative AI model.

[1012] A "server" is a computer system that is responsible for functions such as data processing for the entire system, storing information, retrieving prompts, and reflecting evaluation information.

[1013] A "generative AI model" is an artificial intelligence that generates new ideas and content based on input prompts.

[1014] A "prompt sentence" is text data provided to a generative AI model, and is the information that forms the basis for idea generation.

[1015] "Basic information" refers to information such as a username, email address, and password that a user enters when creating an account.

[1016] A "database" is an information system that manages prompt information, user information, evaluation information, and other information in an integrated manner within a server.

[1017] "Feedback" refers to the evaluation or comments that idea creators make on a prompt after using it.

[1018] The "rating profile" is a function that accumulates and displays information on ratings and feedback for prompts registered by prompt providers.

[1019] The present invention is a system that efficiently matches idea creators with prompt providers. This system allows users to create an account and register, search, use, and rate prompts. Implementation of the system requires a server, a terminal, and a generative AI model. The specific implementation procedure for the system is described below.

[1020] User registration

[1021] First, a user accesses the account creation page and enters basic information such as username, email address, and password. This basic information is sent from the device to the server. The server verifies the received information and, if the verification is successful, stores the information in a database. Once registration is complete, the server sends a confirmation email to the user's email address. For example, if User A enters "userA," "userA@example.com," and "password123" and presses the registration button, the device sends the information to the server, which verifies the information, stores it in the database, and then sends a confirmation email.

[1022] Enforce prompt registration

[1023] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or the "Business" category. This information is sent from the terminal to the server. The server verifies the entered information and, if there are no problems, saves it in the database. The saved prompt is reflected in the prompt list so that other users can search for it.

[1024] Implementing search and select prompts

[1025] Idea providers access the prompt search page and search for prompts by entering categories and keywords. For example, they enter the "business" category or the keywords "product ideas." The device sends these search criteria to the server. The server queries the database based on the received criteria, searches for matching prompts, and returns them to the device. The user then selects the prompt of interest from the displayed search results.

[1026] Matching and utilization

[1027] The idea provider runs the generative AI model using a selected prompt. For example, they might enter, "Please tell me some new eco-friendly product ideas." The generative AI model generates ideas based on this prompt, and the generated ideas are displayed on the user's device. A natural language processing model such as GPT-3 is used as the AI ​​model.

[1028] Feedback and evaluation

[1029] The idea provider accesses a page where they can rate and submit feedback on the prompt they used. On the feedback page, users type "It was helpful, but a little more detail would have been better" and press the submit button. The device sends this information to the server, which then stores the feedback information in a database. This rating is reflected in the prompt provider's rating profile, allowing other users to check the quality of the prompt.

[1030] By using this system, idea creators can efficiently find the prompts they need and improve the quality of the ideas they generate. Prompter providers can also learn the evaluation of their prompts and provide even higher quality prompts based on the feedback.

[1031] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1032] Step 1:

[1033] The user accesses the account creation page and enters basic information such as username, email address, and password. The entered basic information is sent from the device to the server. The device sends this data to the server in JSON format using the HTTP POST method. The server receives the input data (username, email address, and password) and validates the format. If the validation is successful, a success message is returned as output, and if it fails, an error message is returned.

[1034] Step 2:

[1035] The server validates the received basic information. Specifically, it checks whether the email address format is correct and whether the username is a duplicate of existing data. The input is the basic information received earlier, and the output is the validation result. If the validation is successful, the server saves the information to the database. This save operation uses the SQL INSERT statement. Once the save is complete, the server returns a success status to the terminal.

[1036] Step 3:

[1037] The server generates a confirmation email and sends it to the user's email address. The input is the user's email address and a template for the confirmation message, and the output is the email that has been sent. Specifically, the server sends the email using the SMTP protocol. Once the confirmation email is sent, the user knows that their registration has been completed.

[1038] Step 4:

[1039] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or "Business" category. This information is sent from the terminal to the server. The input data is the detailed information of the prompt, and the terminal sends it using the HTTP POST method.

[1040] Step 5:

[1041] The server validates the entered prompt information. Specifically, it checks whether the prompt content is appropriate and whether it is duplicated. The input is the prompt details, and the output is the validation result. If the validation is successful, it is saved in the database. This operation uses the SQL INSERT statement. After saving is complete, the server returns a success message to the terminal.

[1042] Step 6:

[1043] The saved prompt information is reflected in the database and displayed in the prompt list. This allows other users to search for prompts. The user accesses the prompt search page and enters search criteria (categories and keywords). The input data is the search criteria, and the terminal sends it to the server using the HTTP GET method.

[1044] Step 7:

[1045] The server queries the database based on the search criteria to find matching prompts. The input is the search criteria, and the server queries the database using an SQL SELECT statement. The output is the search results, which the server returns to the terminal.

[1046] Step 8:

[1047] The user selects a prompt of interest from the displayed search results. Details of the selected prompt are displayed on the device. The user then runs the generative AI model using the selected prompt. For example, the user might enter, "Please tell me some new eco-friendly product ideas." The input data is the prompt text, which the device then sends to the generative AI model.

[1048] Step 9:

[1049] The generative AI model generates ideas based on the input prompt. Specifically, the generative AI model (e.g., GPT-3) uses a natural language processing algorithm to generate a response. The input data is the prompt, and the output is the generated idea. The generated idea is displayed on the device.

[1050] Step 10:

[1051] The idea provider accesses a page to submit their evaluation and feedback for the prompt they used. The input is the feedback content, which the device sends to the server. The device uses the HTTP POST method to send data in JSON format.

[1052] Step 11:

[1053] The server validates the received feedback information and stores it in the database. The input data is the feedback content, which is saved as evaluation information in the database after validation. SQL INSERT statements are used to save the information.

[1054] Step 12:

[1055] The feedback information is reflected in the prompter's rating profile, allowing other users to see the quality of the prompt and allowing the prompter to know how their prompt was rated. The input data is the saved rating profile, and the output is the updated rating profile.

[1056] (Application example 1)

[1057] 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."

[1058] It is difficult for idea creators and prompt providers to efficiently find optimal prompts, and content creators in particular face the problem of spending time and effort searching for appropriate prompts to generate new content ideas. To improve the quality of generated content ideas, a system is needed that efficiently searches for prompts, generates ideas using AI, and reflects the results as feedback.

[1059] 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.

[1060] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a content creator to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for the content creator to search for and select a prompt they need; a means for the server to return prompts that match the search criteria; a means for the content creator to use the prompt selected by the content creator; a means for generating new content ideas using a generative AI model; a means for sending ratings and feedback for the prompts used by the content creator; and a means for the server to update the rating information in the prompt provider's rating profile. This enables content creators to efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[1061] An "idea creator" is a user whose purpose is to generate new ideas and content.

[1062] A "prompt provider" is a user who provides a prompt that serves as a clue for idea generation to the idea creator.

[1063] "Matching" is a process where idea creators and prompters find the best prompt for each other.

[1064] When a "user" creates an account and inputs basic information, this means registering information such as a username, email address, and password.

[1065] Entering and sending the "prompt content" and its details means filling in information such as the title, content, and category of the prompt and sending it to the system.

[1066] The "server" saving the prompt information in the database and reflecting it in the list means that the received prompt information is added to the server's database and displayed in a list that can be viewed by other users.

[1067] An "author" searches for and selects the prompt they need by locating the appropriate prompt from a list of prompts and selecting it.

[1068] A "generative AI model" is an artificial intelligence model that automatically generates new ideas and content based on provided prompts.

[1069] "Feedback and evaluation" refers to returning feedback and suggestions for improvement to the provider regarding the prompt used.

[1070] A "rating profile" is a collection of prompter ratings and feedback.

[1071] This invention is a system that efficiently matches idea creators with prompt providers, and is particularly useful for generating new content ideas for content creators. The system includes procedures for users to create an account, register and search prompts, generate ideas using a generative AI model, and provide feedback on the results.

[1072] Hardware and software used

[1073] Hardware: Smartphones, servers

[1074] Software: Flask (Python web framework), RESTful API, generative AI models (e.g., GPT-4)

[1075] System Operation

[1076] 1. User Registration:

[1077] A user accesses the account creation page using their smartphone and enters basic information (username, email address, password, etc.). The device sends this information to the server, which verifies and stores it. Once registration is complete, a confirmation email is sent from the server.

[1078] 2. Register prompt:

[1079] Prompt providers access the prompt registration page using their smartphones, enter the required information (prompt title, content, category, etc.), and submit it. The server stores this information in a database and reflects it in the prompt list.

[1080] 3. Search and select prompt:

[1081] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The server searches the database for matching prompts based on the search criteria and returns the results to the device. Content creators then select the prompts they are interested in.

[1082] 4. Matching and Utilization:

[1083] Using prompts selected by content creators, generative AI models are run to generate new content ideas. The more detailed the prompts, the better the quality of the generated content ideas.

[1084] 5. Feedback and Rating:

[1085] The content creator accesses the feedback page for the prompt they used and enters their rating and comments. The device sends the information to the server, which then stores the feedback information in a database and reflects it in the prompt provider's rating profile.

[1086] Examples of concrete examples and prompts

[1087] For example, Content Creator A creates an account, enters some basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "New Cooking Recipe Video Ideas." This prompt is categorized under "Video Creation" and saved in the database.

[1088] When Content Creator C searches for prompts in the "video production" category, the prompt provided by Prompt Provider B appears in the search results. Content Creator C selects this prompt and uses it to generate new cooking recipe video ideas.

[1089] An example of a prompt used is:

[1090] "Submit a new cooking recipe video idea. Submit a new recipe idea that combines three different culinary cultures. Include an easy-to-follow, visually appealing presentation method."

[1091] In this way, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[1092] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1093] Step 1:

[1094] User Registration

[1095] A user accesses the account creation page using a smartphone and enters basic information (username, email address, password, etc.). The input data is sent from the device to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server to the user's email address.

[1096] Input: Username, Email Address, Password

[1097] Output: Send confirmation email, save to database

[1098] Step 2:

[1099] Registering a prompt

[1100] The prompt provider accesses the prompt registration page using a smartphone, enters the required information (prompt title, content, category, etc.), and submits it. The input data is sent from the device to the server, which stores it in a database and reflects it in the prompt list.

[1101] Input: Prompt title, content, category

[1102] Output: Save prompt information and reflect it in the prompt list

[1103] Step 3:

[1104] Search prompts

[1105] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The entered search criteria are sent from the device to the server, which searches the database and returns matching prompts to the device. The content creator selects the prompts that interest them.

[1106] Input: Search criteria (category, keyword)

[1107] Output: Search results (list of prompts)

[1108] Step 4:

[1109] Using prompts

[1110] The content creator uses the selected prompts to generate new content ideas using a generative AI model, and the server runs the generative AI model based on the selected prompts and returns the generated ideas to the device.

[1111] Input: Selected prompt

[1112] Output: Generated content ideas

[1113] Step 5:

[1114] Feedback and Ratings

[1115] Content creators access the feedback page for the prompts they have used and enter their ratings and comments. The entered feedback information is sent from the device to the server, which stores it in a database and reflects it in the prompt provider's rating profile.

[1116] Input: Rating, Comment

[1117] Output: Reflection in evaluation profile

[1118] Through these steps, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[1119] 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.

[1120] The present invention is a system that efficiently matches idea creators with prompt providers, and further optimizes the provision and use of prompts by combining it with an emotion engine that recognizes the user's emotions. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[1121] User Registration

[1122] A user accesses the account creation page and enters basic information such as a username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server. During this process, the emotion engine recognizes the user's emotions and stores the information.

[1123] Registering a prompt

[1124] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list, making it searchable by other users. The server recognizes the prompt provider's emotion during registration and assigns that information to the prompt.

[1125] Search and select prompts

[1126] When a user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword, the emotion engine recognizes the user's current emotion. Based on the recognized emotion, the server suggests the most suitable prompt. It also searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[1127] Matching and Use

[1128] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The emotion engine optimizes the details of the prompts according to the user's emotions, improving the quality of the generated ideas. The generated ideas are then displayed on the device.

[1129] Feedback and Ratings

[1130] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device then sends this information to the server. The emotion engine recognizes the user's emotions when entering the feedback and adds this information to the rating. The server then stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to refer to the evaluator's emotions when checking the quality of the prompt.

[1131] Specific examples

[1132] For example, after User A creates an account and enters basic information, he receives a confirmation email. At this time, the emotion engine records User A's emotional state as "Excited." Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database. The emotion engine also records Prompt Provider B's emotional state.

[1133] When User C searches for prompts in the "Business" category, the emotion engine recognizes User C's emotion as "interest" and suggests the most suitable prompt based on that. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment "It was helpful, but a little more detail would have been better." At this time, the emotion engine records User C's emotion as "Satisfied" and adds it to the rating.

[1134] This evaluation is reflected in prompt provider B's profile and can be used as a reference when other users choose prompts. In addition, the collected emotional data can be used to more accurately analyze the effectiveness of each prompt and user reactions.

[1135] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts through emotion recognition.

[1136] The processing flow will be explained below.

[1137] Step 1:

[1138] A user visits the account creation page and enters basic information such as username, email address, and password.

[1139] Step 2:

[1140] The terminal transmits the input information to the server.

[1141] Step 3:

[1142] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[1143] Step 4:

[1144] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[1145] Step 5:

[1146] The emotion engine in the server analyzes the user's input information and behavior to recognize the user's emotions, which are then saved in the user profile.

[1147] Step 6:

[1148] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[1149] Step 7:

[1150] The terminal sends the entered prompt information to the server.

[1151] Step 8:

[1152] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[1153] Step 9:

[1154] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[1155] Step 10:

[1156] The emotion engine in the server analyzes the prompt provider's input information and recognizes the provider's emotion. This information is also added to the prompt data.

[1157] Step 11:

[1158] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[1159] Step 12:

[1160] The terminal sends the search criteria to the server.

[1161] Step 13:

[1162] The emotion engine in the server recognizes the user's current emotion, and based on this information, the server suggests the most appropriate prompt.

[1163] Step 14:

[1164] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[1165] Step 15:

[1166] The user (idea provider) selects the prompt of interest from the search results.

[1167] Step 16:

[1168] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[1169] Step 17:

[1170] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[1171] Step 18:

[1172] The terminal transmits the evaluation information to the server.

[1173] Step 19:

[1174] The emotion engine in the server recognizes the user's emotions when entering feedback and adds that information to the evaluation.

[1175] Step 20:

[1176] The server stores the feedback information in a database and reflects it in the prompter's rating profile, which is then reflected in the prompt list and used to improve the accuracy of future prompt suggestions.

[1177] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide and use prompts and provide optimal feedback based on emotional information.

[1178] Example 2

[1179] 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."

[1180] The present invention aims to improve the quality of idea generation by efficiently matching idea creators and prompt providers and optimizing the provision and use of prompts by recognizing user emotions. Conventional systems provide prompts without considering the user's emotions, resulting in low user satisfaction and a decline in the quality of generated ideas. Furthermore, when collecting evaluations and feedback, the user's emotional state is not reflected, resulting in unreliable evaluation results.

[1181] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1182] In this invention, the server includes: means for a user to create an account and input basic information; means for a prompt provider to input and send the content and details of a prompt; means for the server to save the prompt information in a database and reflect it in a list; means for the idea creator to search for and select a required prompt; means for the server to return matching prompts based on search conditions; means for the idea creator to use the prompt selected; means for sending evaluations and feedback for the prompt used by the idea creator; means for the server to reflect the evaluation information in the evaluation profile of the prompt provider; and means for an emotion engine to recognize the emotions of the user and the prompt provider and add that information to the prompt and feedback.

[1183] This provides optimal prompts based on the user's emotions, improving the quality of the ideas generated, and also improving the reliability of the evaluation results because emotional information is added to the evaluation and feedback.

[1184] "User" refers to any person who uses the system to create an account and search, select, and rate prompts.

[1185] A "prompt provider" is someone who creates a prompt and registers it in the system.

[1186] "Idea creator" refers to a person who generates ideas using prompts found in the system.

[1187] "Server" refers to equipment or software that manages data for the entire system and processes information in response to user requests.

[1188] "Database" refers to data storage that structures and stores prompt information, user information, etc. within the system.

[1189] An "emotion engine" refers to software that has the ability to recognize a user's emotional state and reflect that information in prompts and feedback.

[1190] "Generative AI model" refers to an artificial intelligence model that generates ideas using prompts as input.

[1191] A "prompt" refers to input data that a user uses to generate ideas.

[1192] "Evaluation" refers to the act of a user recording their satisfaction or feedback regarding the prompt used by the idea creator.

[1193] This invention is a system that efficiently matches idea creators and prompt providers by taking into account user emotions, and optimizes the provision and use of prompts by combining an emotion engine. To implement this system, a server, a terminal, an emotion engine, and a generative AI model are combined and built.

[1194] Hardware and Software Configuration

[1195] Server: The server manages the system-wide data and processes information in response to user requests. The server has a database for storing prompts and user information, and runs web server software (e.g., Apache or nginx) to handle HTTPS requests.

[1196] Terminal: The terminal used by users to access the system is a device that can connect to the Internet, such as a PC, smartphone, or tablet. A browser is installed on the terminal, and users access the system through this browser.

[1197] Emotion engine: The emotion engine is software that recognizes the user's emotional state and reflects that information in prompts and feedback. Specifically, it uses text analysis APIs and image analysis APIs (e.g., Microsoft Azure Emotion API, IBM Watson Tone Analyzer, etc.).

[1198] Generative AI models: These are artificial intelligence models that generate ideas using prompts as input, such as OpenAI's GPT-3 and Google's BERT.

[1199] System processing flow

[1200] User registration: The user accesses the account creation page and enters basic information such as username, email address, and password. The device sends this information to the server, which verifies the information and stores it in a database. After registration is complete, the server sends a confirmation email to the user, and the emotion engine analyzes and stores the user's emotions.

[1201] Prompt registration: The prompt provider registers the prompt by entering the title, content, category, etc. The device sends this information to the server, which verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list and becomes searchable by other users. The emotion engine analyzes the prompt provider's emotion and assigns that information to the prompt.

[1202] Prompt search and selection: The idea provider accesses the prompt search page and performs a search by entering categories and keywords. The server uses an emotion engine to analyze the user's emotions and suggests the most appropriate prompt based on that information. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user selects the prompt of interest from the search results.

[1203] Matching and utilization: The generative AI model is run using the prompt selected by the idea provider as input to generate ideas. The emotion engine optimizes the details of the prompt according to the user's emotions, and the generated ideas are displayed on the device.

[1204] Feedback and rating: The idea provider accesses the feedback page and enters their rating and comments. The device sends this information to the server, which uses an emotion engine to analyze the emotion at the time of feedback entry and assigns this information to the rating. The server then saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[1205] Specific examples

[1206] For example, a user creates a new account and enters the necessary basic information to register. During this registration, the system uses the emotion engine to record the user's emotion as "excitement." Next, a prompt provider registers a prompt for "generating new product ideas" in the business category. During this registration, the system also records the provider's emotion.

[1207] When the idea provider then searches for prompts in the business category, the system recognizes the provider's emotional state of "interest" and suggests the most suitable prompt. The idea provider selects the suggested prompt and generates a new product idea. In response to the generated idea, the idea provider sends a comment saying, "It was helpful, but a little more detail would have been better." In this case, the system records the emotion as "satisfied" and reflects it in the evaluation.

[1208] An example of a prompt sentence is "I want to generate a new business idea. I'm feeling excited." In this way, the most appropriate prompt is provided based on the user's emotions, improving the quality of the ideas generated and the reliability of the evaluation results.

[1209] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1210] Program processing steps

[1211] Handling user registration

[1212] Step 1:

[1213] A user opens a browser and visits the account creation page, entering basic information such as username, email address, and password.

[1214] Input: Username, Email Address, Password

[1215] Output: Basic information entered

[1216] Step 2:

[1217] The device sends the entered basic information to the server as an HTTPS request.

[1218] Input: Basic information

[1219] Output: HTTPS request to the server

[1220] Step 3:

[1221] The server receives the request and validates the format and content of the input information, for example, by checking the format of the email address or the strength of the password.

[1222] Input: HTTPS request with basic information

[1223] Output: Verification results

[1224] Step 4:

[1225] If the server is successful in the verification, it saves the basic information in the database.

[1226] Input: Verified basic information

[1227] Output: Basic information stored in the database

[1228] Step 5:

[1229] The server sends a confirmation email to the user via the SMTP server.

[1230] Input: Email address

[1231] Output:Confirmation email

[1232] Step 6:

[1233] The server calls the emotion recognition API, analyzes the user's emotions, and stores the information.

[1234] Input: User data when entering basic information

[1235] Output: Parsed emotion data

[1236] Handling prompt registrations

[1237] Step 1:

[1238] The prompt provider accesses the prompt registration page in a browser and enters the prompt title, content, category, etc.

[1239] Input: Prompt title, content, category

[1240] Output: Entered prompt information

[1241] Step 2:

[1242] The terminal sends the entered prompt information to the server as an HTTPS request.

[1243] Input: Prompt Information

[1244] Output: HTTPS request to the server

[1245] Step 3:

[1246] The server validates the prompt information entered, for example checking the length of the title and whether there is any content.

[1247] Input: HTTPS request for prompt information

[1248] Output: Verification results

[1249] Step 4:

[1250] The server saves the validated prompt information in a database.

[1251] Input: Validated prompt information

[1252] Output: Prompt information stored in the database

[1253] Step 5:

[1254] The server adds the saved prompt to the index and updates the prompt list.

[1255] Input: Prompt Information

[1256] Output: Updated prompt list

[1257] Step 6:

[1258] The server recognizes the prompter's emotion and adds that information to the prompt.

[1259] Input: Prompt provider data when registering a prompt

[1260] Output: A prompt with the parsed emotion data.

[1261] Handling search and select prompts

[1262] Step 1:

[1263] The idea provider accesses the prompt search page in a browser and enters search criteria such as categories and keywords.

[1264] Input: Search criteria (category, keyword)

[1265] Output: Search criteria entered

[1266] Step 2:

[1267] The server calls the emotion engine and analyzes the user's emotions during the search.

[1268] Input: Idea provider data at the time of search

[1269] Output: Parsed emotion data

[1270] Step 3:

[1271] The server suggests optimal prompts based on the emotional data and search criteria.

[1272] Input: Emotion data, search criteria

[1273] Output: Suggested prompt

[1274] Step 4:

[1275] The server searches the database based on the search criteria and retrieves matching prompts.

[1276] Input: Search criteria

[1277] Output: Search results (prompt list)

[1278] Step 5:

[1279] The server returns the search results in JSON format to the device, which displays them.

[1280] Input: Search results

[1281] Output: List of displayed prompts

[1282] Step 6:

[1283] The idea contributor selects a prompt that interests them from the list of prompts displayed.

[1284] Input: Prompt List

[1285] Output: Selected prompt

[1286] Matching and Usage Processing

[1287] Step 1:

[1288] The prompts selected by the idea provider are used as input data for the generative AI model.

[1289] Input: Selected prompt

[1290] Output: Input data to the generative AI model

[1291] Step 2:

[1292] The server uses an emotion engine to analyze the sent prompts and optimize them to the user's emotion.

[1293] Input: prompt, user emotion data

[1294] Output: Optimized prompt

[1295] Step 3:

[1296] The server invokes a generative AI model (e.g., GPT-3) and generates ideas using the optimized prompts as input.

[1297] Input: Optimized prompts

[1298] Output: Generated ideas

[1299] Step 4:

[1300] The terminal receives the generated ideas and displays them to the idea provider.

[1301] Input: Generated ideas

[1302] Output: Displayed ideas

[1303] Feedback and rating process

[1304] Step 1:

[1305] The idea submitter visits the feedback page and enters their rating and comments on the prompt.

[1306] Input: Rating, Comment

[1307] Output: Input feedback information

[1308] Step 2:

[1309] The terminal sends feedback information to the server.

[1310] Input: Feedback information

[1311] Output: HTTPS request to the server

[1312] Step 3:

[1313] The server calls the emotion engine and analyzes the emotion at the time of feedback input.

[1314] Input: User data when entering feedback

[1315] Output: Parsed emotion data

[1316] Step 4:

[1317] The server adds emotional data to the feedback and stores it in a database.

[1318] Input: Feedback information, emotion data

[1319] Output: Feedback stored in a database

[1320] Step 5:

[1321] The server updates the prompt provider's rating profile with the stored feedback information.

[1322] Input: Feedback information

[1323] Output: Updated assessment profile

[1324] Through the above processing steps, the system proposes prompts that take into account the user's emotions, generates ideas, and collects and evaluates feedback.

[1325] (Application example 2)

[1326] 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."

[1327] Conventional prompt delivery systems have difficulty efficiently matching idea creators with prompt providers, and lack a means to provide optimal prompts based on the user's emotions. This makes it difficult for idea creators to find and effectively use the prompts they need. Furthermore, they lack sufficient feedback and evaluation functions to improve the quality and relevance of prompts.

[1328] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to create an account and input basic information, means for a prompt provider to input and send the content and details of a prompt, means for saving the prompt information in a database and reflecting it in a list, means for an emotion engine to recognize the user's emotional state and save that information in a database, and means for the server to suggest the optimal prompt based on the user's emotional state. This enables the user to efficiently find the prompt they need and use the optimal prompt according to their emotion.

[1329] A "user" is someone who uses the system, such as an idea creator or a prompt provider.

[1330] An "account" refers to a registration state for holding a user's identification information.

[1331] "Basic information" refers to information such as name, email address, and password that a user enters when creating an account.

[1332] A "prompt" is input information in the form of text or a question that is provided to an ideation or generative AI model.

[1333] A "prompt provider" is a person who creates the content of a prompt and provides it to the system.

[1334] A "server" is a computer system that stores, processes, and distributes data.

[1335] A "database" is a collection of data managed and stored within a system.

[1336] A "list" is a summary table for displaying prompt information stored in a database.

[1337] An "emotion engine" is software or a system for recognizing a user's emotional state and storing that information in a database.

[1338] An "evaluation" is part of the feedback a user gives to a prompt they have used, and is an opinion provided in the form of a number or comment.

[1339] "Feedback" refers to the opinions and thoughts that users give to the system or prompts.

[1340] A "rating profile" is information that accumulates and displays the ratings of other users for a prompt provider.

[1341] "Emotional state" refers to the user's emotions and moods at any given time.

[1342] The "best prompt" is the prompt that best matches the user's emotional state and search criteria.

[1343] The system of the present invention aims to recognize the emotional state of a user using an emotion engine and efficiently match idea creators with prompt providers based on that state. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[1344] User registration

[1345] First, a user accesses the account creation page and enters basic information (username, email address, password). Once the user input information is entered, the device sends the information to the server. The server verifies the received information and sends a confirmation email. After receiving the confirmation email, the account is activated and the emotion engine recognizes the user's emotional state and stores that information in the database.

[1346] Registering a prompt

[1347] Next, the prompt giver accesses the prompt registration page and enters the prompt content, title, category, etc. The entered information is sent from the device to the server. The server verifies the content and records the prompt giver's emotional state when saving it to the database. Once the prompt is saved in the database, it is reflected in the list and can be searched and viewed by other users.

[1348] Search and select prompts

[1349] When an idea creator searches for a prompt, they first access the prompt search page and perform a search by specifying a category or keyword. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. The suggested prompts are displayed on the device as search results, and the idea creator can select the appropriate prompt from among them.

[1350] Feedback and Ratings

[1351] After using a prompt, the idea creator accesses the feedback page and enters their rating and comments. The device sends this information to the server, where the emotion engine recognizes the user's emotions when providing feedback and stores them in a database. This feedback information is reflected in the prompt creator's rating profile and can be used as reference when other users judge the quality of the prompt.

[1352] Hardware and software used

[1353] Hardware: Smartphones, servers

[1354] software:

[1355] Emotion engine: emotion_engine(tentative)

[1356] Database management system: video_db, user_db

[1357] Web server framework: Flask or Django

[1358] Specific examples

[1359] For example, when User A creates an account and enters basic information, the server sends a confirmation email and records the user's emotional state as "excitement" in the emotion engine. Next, Prompt Provider B registers a prompt for "Generate a new product idea" and records the emotional state at that time as "enjoyment." When Idea Creator C searches for prompts in the "Business" category, the emotion engine recognizes the user's emotion as "interest" and suggests the most appropriate prompt based on that.

[1360] Specific prompt examples

[1361] "I'm tired today. I recommend some fun videos to help me relax."

[1362] "I'm looking for inspiring videos that will lift my spirits."

[1363] This system allows users to use prompts that are optimally tailored to their emotional state at the time, enabling effective idea generation. Prompter providers can also receive high-quality feedback that can be used to improve their prompts.

[1364] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1365] Step 1:

[1366] A user accesses the account creation page and enters basic information (username, email address, password). The input data is sent from the device to the server. The server verifies the received basic information and sends a confirmation email. The emotion engine recognizes the user's emotional state and stores that information in a database.

[1367] Input: Username, Email Address, Password

[1368] Data processing: Verification of input information

[1369] Data Computing: Recognizing Emotional States with an Emotion Engine

[1370] Output: Send confirmation email, save emotional information

[1371] Step 2:

[1372] The prompt provider accesses the prompt registration page and enters the prompt title, content, category, etc. The input data is sent from the terminal to the server. The server verifies the entered prompt information and stores it in a database. The emotion engine recognizes the prompt provider's emotional state and adds that information to the prompt data.

[1373] Input: Prompt title, content, category

[1374] Data processing: Prompt information verification

[1375] Data Computing: Recognizing Emotional States with an Emotion Engine

[1376] Output: Save to database, add emotion information

[1377] Step 3:

[1378] The idea creator accesses the prompt search page and searches for prompts by entering categories and keywords. The input data is sent from the device to the server. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. It then searches the database and returns the search results to the device.

[1379] Input: Category, Keywords

[1380] Data processing: Database search based on search criteria

[1381] Data Computation: Emotional state recognition by emotion engine and suggesting optimal prompts

[1382] Output: Suggests the best prompts, returns search results

[1383] Step 4:

[1384] The idea creator selects prompts and runs the generative AI model to generate ideas, which are then displayed on the device.

[1385] Input: Selected prompt

[1386] Data processing: Idea generation using generative AI models

[1387] Data Computing: Running Generative AI Models

[1388] Output: Display of generated ideas

[1389] Step 5:

[1390] The idea creator accesses the feedback page for the prompt they used and enters their rating and comments. The input data is sent from the device to the server. The emotion engine recognizes the user's emotion when giving feedback and adds that information to the rating. The server saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[1391] Input: Rating, Comment

[1392] Data Processing: Feedback Storage

[1393] Data Computing: Recognizing Emotional States with an Emotion Engine

[1394] Output: Reflection in evaluation profile

[1395] In this way, it is possible to provide optimal prompts according to the user's emotional state, and to generate ideas and process feedback based on those prompts.

[1396] 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.

[1397] 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.

[1398] 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.

[1399] [Fourth embodiment]

[1400] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1401] 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.

[1402] 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).

[1403] 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.

[1404] 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.

[1405] 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).

[1406] 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.

[1407] 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.

[1408] 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.

[1409] 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.

[1410] 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.

[1411] 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.

[1412] 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."

[1413] This invention is a system that efficiently matches idea creators with prompt providers. This system allows idea creators to efficiently find the prompts they need and use them to generate new ideas. This system includes the processes of user registration, prompt registration, prompt search and selection, matching and use, and feedback and evaluation.

[1414] User Registration

[1415] The user accesses the account creation page and enters basic information such as username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if the verification is successful, stores it in a database. Once registration is complete, the server sends a confirmation email.

[1416] Registering a prompt

[1417] The user (prompt provider) accesses the prompt registration page and enters the title, content, category, etc. of the prompt. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in the database. The saved prompt is reflected in the prompt list and can be searched by other users.

[1418] Search and select prompts

[1419] The user (idea provider) accesses the prompt search page and searches for prompts by entering categories or keywords. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[1420] Matching and Use

[1421] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The more detailed the prompts, the better the quality of the ideas.

[1422] Feedback and Ratings

[1423] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device sends this information to the server. The server stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to check the quality of the prompt, and the prompt provider can see the rating of their own prompt.

[1424] Specific examples

[1425] For example, User A creates an account, enters basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database.

[1426] When User C searches for prompts in the "Business" category, Prompt Provider B's prompt appears in the search results. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment, "It was helpful, but a little more detail would have been better."

[1427] This rating will be reflected in prompt provider B's profile and will help other users choose prompts.

[1428] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts.

[1429] The processing flow will be explained below.

[1430] Step 1:

[1431] A user visits the account creation page and enters basic information such as username, email address, and password.

[1432] Step 2:

[1433] The terminal transmits the input information to the server.

[1434] Step 3:

[1435] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[1436] Step 4:

[1437] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[1438] Step 5:

[1439] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[1440] Step 6:

[1441] The terminal sends the entered prompt information to the server.

[1442] Step 7:

[1443] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[1444] Step 8:

[1445] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[1446] Step 9:

[1447] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[1448] Step 10:

[1449] The terminal sends the search criteria to the server.

[1450] Step 11:

[1451] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[1452] Step 12:

[1453] The user (idea provider) selects the prompt of interest from the search results.

[1454] Step 13:

[1455] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[1456] Step 14:

[1457] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[1458] Step 15:

[1459] The terminal transmits the evaluation information to the server.

[1460] Step 16:

[1461] The server stores the feedback information in a database and reflects it in the prompter's rating profile.

[1462] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide, use, and evaluate prompts.

[1463] Example 1

[1464] 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."

[1465] Conventional idea generation systems have had issues with finding effective prompts easily and efficiently matching prompt providers with idea creators. Furthermore, there are concerns that the quality of prompts may decline because prompt evaluations and feedback intended to improve the quality of generated ideas are not properly reflected.

[1466] 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.

[1467] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a prompt provider to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for an idea creator to search for and select a prompt they need; a means for the server to return matching prompts based on search criteria; a means for executing a generative AI model using the prompt selected by the idea creator; a means for sending evaluations and feedback for the prompts used by the idea creator; and a means for the server to reflect the evaluation information in the prompt provider's evaluation profile. This enables efficient matching between idea creators and prompt providers and improves the quality of generated ideas.

[1468] A "user" is an individual or corporation that uses the system to create an account and performs operations such as registering, searching, using, and rating prompts.

[1469] A "prompt provider" is an individual or legal entity responsible for entering prompts into the system and making them available to other users.

[1470] An "idea creator" is an individual or entity that uses the system to search for and select prompts and generate ideas using a generative AI model.

[1471] A "server" is a computer system that is responsible for functions such as data processing for the entire system, storing information, retrieving prompts, and reflecting evaluation information.

[1472] A "generative AI model" is an artificial intelligence that generates new ideas and content based on input prompts.

[1473] A "prompt sentence" is text data provided to a generative AI model, and is the information that forms the basis for idea generation.

[1474] "Basic information" refers to information such as a username, email address, and password that a user enters when creating an account.

[1475] A "database" is an information system that manages prompt information, user information, evaluation information, and other information in an integrated manner within a server.

[1476] "Feedback" refers to the evaluation or comments that idea creators make on a prompt after using it.

[1477] The "rating profile" is a function that accumulates and displays information on ratings and feedback for prompts registered by prompt providers.

[1478] The present invention is a system that efficiently matches idea creators with prompt providers. This system allows users to create an account and register, search, use, and rate prompts. Implementation of the system requires a server, a terminal, and a generative AI model. The specific implementation procedure for the system is described below.

[1479] User registration

[1480] First, a user accesses the account creation page and enters basic information such as username, email address, and password. This basic information is sent from the device to the server. The server verifies the received information and, if the verification is successful, stores the information in a database. Once registration is complete, the server sends a confirmation email to the user's email address. For example, if User A enters "userA," "userA@example.com," and "password123" and presses the registration button, the device sends the information to the server, which verifies the information, stores it in the database, and then sends a confirmation email.

[1481] Enforce prompt registration

[1482] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or the "Business" category. This information is sent from the terminal to the server. The server verifies the entered information and, if there are no problems, saves it in the database. The saved prompt is reflected in the prompt list so that other users can search for it.

[1483] Implementing search and select prompts

[1484] Idea providers access the prompt search page and search for prompts by entering categories and keywords. For example, they enter the "business" category or the keywords "product ideas." The device sends these search criteria to the server. The server queries the database based on the received criteria, searches for matching prompts, and returns them to the device. The user then selects the prompt of interest from the displayed search results.

[1485] Matching and utilization

[1486] The idea provider runs the generative AI model using a selected prompt. For example, they might enter, "Please tell me some new eco-friendly product ideas." The generative AI model generates ideas based on this prompt, and the generated ideas are displayed on the user's device. A natural language processing model such as GPT-3 is used as the AI ​​model.

[1487] Feedback and evaluation

[1488] The idea provider accesses a page where they can rate and submit feedback on the prompt they used. On the feedback page, users type "It was helpful, but a little more detail would have been better" and press the submit button. The device sends this information to the server, which then stores the feedback information in a database. This rating is reflected in the prompt provider's rating profile, allowing other users to check the quality of the prompt.

[1489] By using this system, idea creators can efficiently find the prompts they need and improve the quality of the ideas they generate. Prompter providers can also learn the evaluation of their prompts and provide even higher quality prompts based on the feedback.

[1490] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1491] Step 1:

[1492] The user accesses the account creation page and enters basic information such as username, email address, and password. The entered basic information is sent from the device to the server. The device sends this data to the server in JSON format using the HTTP POST method. The server receives the input data (username, email address, and password) and validates the format. If the validation is successful, a success message is returned as output, and if it fails, an error message is returned.

[1493] Step 2:

[1494] The server validates the received basic information. Specifically, it checks whether the email address format is correct and whether the username is a duplicate of existing data. The input is the basic information received earlier, and the output is the validation result. If the validation is successful, the server saves the information to the database. This save operation uses the SQL INSERT statement. Once the save is complete, the server returns a success status to the terminal.

[1495] Step 3:

[1496] The server generates a confirmation email and sends it to the user's email address. The input is the user's email address and a template for the confirmation message, and the output is the email that has been sent. Specifically, the server sends the email using the SMTP protocol. Once the confirmation email is sent, the user knows that their registration has been completed.

[1497] Step 4:

[1498] The prompt provider accesses the prompt registration page and enters the title, content, category, etc. of the prompt. For example, they may enter "Generate new product ideas" or "Business" category. This information is sent from the terminal to the server. The input data is the detailed information of the prompt, and the terminal sends it using the HTTP POST method.

[1499] Step 5:

[1500] The server validates the entered prompt information. Specifically, it checks whether the prompt content is appropriate and whether it is duplicated. The input is the prompt details, and the output is the validation result. If the validation is successful, it is saved in the database. This operation uses the SQL INSERT statement. After saving is complete, the server returns a success message to the terminal.

[1501] Step 6:

[1502] The saved prompt information is reflected in the database and displayed in the prompt list. This allows other users to search for prompts. The user accesses the prompt search page and enters search criteria (categories and keywords). The input data is the search criteria, and the terminal sends it to the server using the HTTP GET method.

[1503] Step 7:

[1504] The server queries the database based on the search criteria to find matching prompts. The input is the search criteria, and the server queries the database using an SQL SELECT statement. The output is the search results, which the server returns to the terminal.

[1505] Step 8:

[1506] The user selects a prompt of interest from the displayed search results. Details of the selected prompt are displayed on the device. The user then runs the generative AI model using the selected prompt. For example, the user might enter, "Please tell me some new eco-friendly product ideas." The input data is the prompt text, which the device then sends to the generative AI model.

[1507] Step 9:

[1508] The generative AI model generates ideas based on the input prompt. Specifically, the generative AI model (e.g., GPT-3) uses a natural language processing algorithm to generate a response. The input data is the prompt, and the output is the generated idea. The generated idea is displayed on the device.

[1509] Step 10:

[1510] The idea provider accesses a page to submit their evaluation and feedback for the prompt they used. The input is the feedback content, which the device sends to the server. The device uses the HTTP POST method to send data in JSON format.

[1511] Step 11:

[1512] The server validates the received feedback information and stores it in the database. The input data is the feedback content, which is saved as evaluation information in the database after validation. SQL INSERT statements are used to save the information.

[1513] Step 12:

[1514] The feedback information is reflected in the prompter's rating profile, allowing other users to see the quality of the prompt and allowing the prompter to know how their prompt was rated. The input data is the saved rating profile, and the output is the updated rating profile.

[1515] (Application example 1)

[1516] 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."

[1517] It is difficult for idea creators and prompt providers to efficiently find optimal prompts, and content creators in particular face the problem of spending time and effort searching for appropriate prompts to generate new content ideas. To improve the quality of generated content ideas, a system is needed that efficiently searches for prompts, generates ideas using AI, and reflects the results as feedback.

[1518] 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.

[1519] In this invention, the server includes: a means for a user to create an account and input basic information; a means for a content creator to input and send the content and details of a prompt; a means for the server to save the prompt information in a database and reflect it in a list; a means for the content creator to search for and select a prompt they need; a means for the server to return prompts that match the search criteria; a means for the content creator to use the prompt selected by the content creator; a means for generating new content ideas using a generative AI model; a means for sending ratings and feedback for the prompts used by the content creator; and a means for the server to update the rating information in the prompt provider's rating profile. This enables content creators to efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[1520] An "idea creator" is a user whose purpose is to generate new ideas and content.

[1521] A "prompt provider" is a user who provides a prompt that serves as a clue for idea generation to the idea creator.

[1522] "Matching" is a process where idea creators and prompters find the best prompt for each other.

[1523] When a "user" creates an account and inputs basic information, this means registering information such as a username, email address, and password.

[1524] Entering and sending the "prompt content" and its details means filling in information such as the title, content, and category of the prompt and sending it to the system.

[1525] The "server" saving the prompt information in the database and reflecting it in the list means that the received prompt information is added to the server's database and displayed in a list that can be viewed by other users.

[1526] An "author" searches for and selects the prompt they need by locating the appropriate prompt from a list of prompts and selecting it.

[1527] A "generative AI model" is an artificial intelligence model that automatically generates new ideas and content based on provided prompts.

[1528] "Feedback and evaluation" refers to returning feedback and suggestions for improvement to the provider regarding the prompt used.

[1529] A "rating profile" is a collection of prompter ratings and feedback.

[1530] This invention is a system that efficiently matches idea creators with prompt providers, and is particularly useful for generating new content ideas for content creators. The system includes procedures for users to create an account, register and search prompts, generate ideas using a generative AI model, and provide feedback on the results.

[1531] Hardware and software used

[1532] Hardware: Smartphones, servers

[1533] Software: Flask (Python web framework), RESTful API, generative AI models (e.g., GPT-4)

[1534] System Operation

[1535] 1. User Registration:

[1536] A user accesses the account creation page using their smartphone and enters basic information (username, email address, password, etc.). The device sends this information to the server, which verifies and stores it. Once registration is complete, a confirmation email is sent from the server.

[1537] 2. Register prompt:

[1538] Prompt providers access the prompt registration page using their smartphones, enter the required information (prompt title, content, category, etc.), and submit it. The server stores this information in a database and reflects it in the prompt list.

[1539] 3. Search and select prompt:

[1540] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The server searches the database for matching prompts based on the search criteria and returns the results to the device. Content creators then select the prompts they are interested in.

[1541] 4. Matching and Utilization:

[1542] Using prompts selected by content creators, generative AI models are run to generate new content ideas. The more detailed the prompts, the better the quality of the generated content ideas.

[1543] 5. Feedback and Rating:

[1544] The content creator accesses the feedback page for the prompt they used and enters their rating and comments. The device sends the information to the server, which then stores the feedback information in a database and reflects it in the prompt provider's rating profile.

[1545] Examples of concrete examples and prompts

[1546] For example, Content Creator A creates an account, enters some basic information, and receives a confirmation email. Next, Prompt Provider B registers a prompt for "New Cooking Recipe Video Ideas." This prompt is categorized under "Video Creation" and saved in the database.

[1547] When Content Creator C searches for prompts in the "video production" category, the prompt provided by Prompt Provider B appears in the search results. Content Creator C selects this prompt and uses it to generate new cooking recipe video ideas.

[1548] An example of a prompt used is:

[1549] "Submit a new cooking recipe video idea. Submit a new recipe idea that combines three different culinary cultures. Include an easy-to-follow, visually appealing presentation method."

[1550] In this way, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[1551] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1552] Step 1:

[1553] User Registration

[1554] A user accesses the account creation page using a smartphone and enters basic information (username, email address, password, etc.). The input data is sent from the device to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server to the user's email address.

[1555] Input: Username, Email Address, Password

[1556] Output: Send confirmation email, save to database

[1557] Step 2:

[1558] Registering a prompt

[1559] The prompt provider accesses the prompt registration page using a smartphone, enters the required information (prompt title, content, category, etc.), and submits it. The input data is sent from the device to the server, which stores it in a database and reflects it in the prompt list.

[1560] Input: Prompt title, content, category

[1561] Output: Save prompt information and reflect it in the prompt list

[1562] Step 3:

[1563] Search prompts

[1564] Content creators use their smartphones to access the prompt search page and search for prompts by category or keyword. The entered search criteria are sent from the device to the server, which searches the database and returns matching prompts to the device. The content creator selects the prompts that interest them.

[1565] Input: Search criteria (category, keyword)

[1566] Output: Search results (list of prompts)

[1567] Step 4:

[1568] Using prompts

[1569] The content creator uses the selected prompts to generate new content ideas using a generative AI model, and the server runs the generative AI model based on the selected prompts and returns the generated ideas to the device.

[1570] Input: Selected prompt

[1571] Output: Generated content ideas

[1572] Step 5:

[1573] Feedback and Ratings

[1574] Content creators access the feedback page for the prompts they have used and enter their ratings and comments. The entered feedback information is sent from the device to the server, which stores it in a database and reflects it in the prompt provider's rating profile.

[1575] Input: Rating, Comment

[1576] Output: Reflection in evaluation profile

[1577] Through these steps, the system helps content creators efficiently find appropriate prompts, generate new content ideas, and reflect the results as feedback.

[1578] 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.

[1579] The present invention is a system that efficiently matches idea creators with prompt providers, and further optimizes the provision and use of prompts by combining it with an emotion engine that recognizes the user's emotions. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[1580] User Registration

[1581] A user accesses the account creation page and enters basic information such as a username, email address, and password. Once the basic information is entered, the device sends the information to the server. The server verifies the received information and, if successful, stores it in a database. Once registration is complete, a confirmation email is sent from the server. During this process, the emotion engine recognizes the user's emotions and stores the information.

[1582] Registering a prompt

[1583] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc. The entered information is sent from the terminal to the server. The server verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list, making it searchable by other users. The server recognizes the prompt provider's emotion during registration and assigns that information to the prompt.

[1584] Search and select prompts

[1585] When a user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword, the emotion engine recognizes the user's current emotion. Based on the recognized emotion, the server suggests the most suitable prompt. It also searches the database based on the search criteria and returns matching prompts to the terminal. The user can then select the prompt of interest from the search results.

[1586] Matching and Use

[1587] The user (idea provider) runs the generative AI using the prompts they select to generate ideas. The emotion engine optimizes the details of the prompts according to the user's emotions, improving the quality of the generated ideas. The generated ideas are then displayed on the device.

[1588] Feedback and Ratings

[1589] The user (idea provider) accesses the feedback page for the prompt they used and enters their rating and comments. The device then sends this information to the server. The emotion engine recognizes the user's emotions when entering the feedback and adds this information to the rating. The server then stores the feedback information in a database and reflects it in the prompt provider's rating profile. This allows other users to refer to the evaluator's emotions when checking the quality of the prompt.

[1590] Specific examples

[1591] For example, after User A creates an account and enters basic information, he receives a confirmation email. At this time, the emotion engine records User A's emotional state as "Excited." Next, Prompt Provider B registers a prompt for "Generate new product ideas." This prompt is categorized as "Business" and saved in the database. The emotion engine also records Prompt Provider B's emotional state.

[1592] When User C searches for prompts in the "Business" category, the emotion engine recognizes User C's emotion as "interest" and suggests the most suitable prompt based on that. User C selects this prompt and uses it to generate new product ideas. After using it, User C submits a rating with the comment "It was helpful, but a little more detail would have been better." At this time, the emotion engine records User C's emotion as "Satisfied" and adds it to the rating.

[1593] This evaluation is reflected in prompt provider B's profile and can be used as a reference when other users choose prompts. In addition, the collected emotional data can be used to more accurately analyze the effectiveness of each prompt and user reactions.

[1594] In this way, the system of the present invention supports idea generation using generative AI by efficiently matching idea creators with prompt providers and improving the quality of prompts through emotion recognition.

[1595] The processing flow will be explained below.

[1596] Step 1:

[1597] A user visits the account creation page and enters basic information such as username, email address, and password.

[1598] Step 2:

[1599] The terminal transmits the input information to the server.

[1600] Step 3:

[1601] The server validates the user information it receives, specifically by checking the format of the email address and the strength of the password.

[1602] Step 4:

[1603] If the verification is successful, the server will save the user information in the database and if successful, the server will send a confirmation email to the user's email address.

[1604] Step 5:

[1605] The emotion engine in the server analyzes the user's input information and behavior to recognize the user's emotions, which are then saved in the user profile.

[1606] Step 6:

[1607] The user (prompt provider) accesses the prompt registration page and enters the prompt title, content, category, etc.

[1608] Step 7:

[1609] The terminal sends the entered prompt information to the server.

[1610] Step 8:

[1611] The server validates the prompt content, specifically ensuring that the entered content is valid and does not duplicate an existing prompt.

[1612] Step 9:

[1613] If validation is successful, the server saves the prompt information in the database, where it appears in the prompt list and is searchable by other users.

[1614] Step 10:

[1615] The emotion engine in the server analyzes the prompt provider's input information and recognizes the provider's emotion. This information is also added to the prompt data.

[1616] Step 11:

[1617] The user (idea provider) accesses the prompt search page and searches for a prompt by entering a category or keyword.

[1618] Step 12:

[1619] The terminal sends the search criteria to the server.

[1620] Step 13:

[1621] The emotion engine in the server recognizes the user's current emotion, and based on this information, the server suggests the most appropriate prompt.

[1622] Step 14:

[1623] The server searches the database based on the search criteria and returns matching prompts to the terminal.

[1624] Step 15:

[1625] The user (idea provider) selects the prompt of interest from the search results.

[1626] Step 16:

[1627] The generative AI is run using prompts selected by the user (idea provider) to generate ideas, which are then displayed on the device.

[1628] Step 17:

[1629] The user (idea provider) accesses the feedback page and enters their rating and comments on the prompt.

[1630] Step 18:

[1631] The terminal transmits the evaluation information to the server.

[1632] Step 19:

[1633] The emotion engine in the server recognizes the user's emotions when entering feedback and adds that information to the evaluation.

[1634] Step 20:

[1635] The server stores the feedback information in a database and reflects it in the prompter's rating profile, which is then reflected in the prompt list and used to improve the accuracy of future prompt suggestions.

[1636] The above are the specific processing steps of the system based on the present invention, which allows users to efficiently provide and use prompts and provide optimal feedback based on emotional information.

[1637] Example 2

[1638] 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."

[1639] The present invention aims to improve the quality of idea generation by efficiently matching idea creators and prompt providers and optimizing the provision and use of prompts by recognizing user emotions. Conventional systems provide prompts without considering the user's emotions, resulting in low user satisfaction and a decline in the quality of generated ideas. Furthermore, when collecting evaluations and feedback, the user's emotional state is not reflected, resulting in unreliable evaluation results.

[1640] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1641] In this invention, the server includes: means for a user to create an account and input basic information; means for a prompt provider to input and send the content and details of a prompt; means for the server to save the prompt information in a database and reflect it in a list; means for the idea creator to search for and select a required prompt; means for the server to return matching prompts based on search conditions; means for the idea creator to use the prompt selected; means for sending evaluations and feedback for the prompt used by the idea creator; means for the server to reflect the evaluation information in the evaluation profile of the prompt provider; and means for an emotion engine to recognize the emotions of the user and the prompt provider and add that information to the prompt and feedback.

[1642] This provides optimal prompts based on the user's emotions, improving the quality of the ideas generated, and also improving the reliability of the evaluation results because emotional information is added to the evaluation and feedback.

[1643] "User" refers to any person who uses the system to create an account and search, select, and rate prompts.

[1644] A "prompt provider" is someone who creates a prompt and registers it in the system.

[1645] "Idea creator" refers to a person who generates ideas using prompts found in the system.

[1646] "Server" refers to equipment or software that manages data for the entire system and processes information in response to user requests.

[1647] "Database" refers to data storage that structures and stores prompt information, user information, etc. within the system.

[1648] An "emotion engine" refers to software that has the ability to recognize a user's emotional state and reflect that information in prompts and feedback.

[1649] "Generative AI model" refers to an artificial intelligence model that generates ideas using prompts as input.

[1650] A "prompt" refers to input data that a user uses to generate ideas.

[1651] "Evaluation" refers to the act of a user recording their satisfaction or feedback regarding the prompt used by the idea creator.

[1652] This invention is a system that efficiently matches idea creators and prompt providers by taking into account user emotions, and optimizes the provision and use of prompts by combining an emotion engine. To implement this system, a server, a terminal, an emotion engine, and a generative AI model are combined and built.

[1653] Hardware and Software Configuration

[1654] Server: The server manages the system-wide data and processes information in response to user requests. The server has a database for storing prompts and user information, and runs web server software (e.g., Apache or nginx) to handle HTTPS requests.

[1655] Terminal: The terminal used by users to access the system is a device that can connect to the Internet, such as a PC, smartphone, or tablet. A browser is installed on the terminal, and users access the system through this browser.

[1656] Emotion engine: The emotion engine is software that recognizes the user's emotional state and reflects that information in prompts and feedback. Specifically, it uses text analysis APIs and image analysis APIs (e.g., Microsoft Azure Emotion API, IBM Watson Tone Analyzer, etc.).

[1657] Generative AI models: These are artificial intelligence models that generate ideas using prompts as input, such as OpenAI's GPT-3 and Google's BERT.

[1658] System processing flow

[1659] User registration: The user accesses the account creation page and enters basic information such as username, email address, and password. The device sends this information to the server, which verifies the information and stores it in a database. After registration is complete, the server sends a confirmation email to the user, and the emotion engine analyzes and stores the user's emotions.

[1660] Prompt registration: The prompt provider registers the prompt by entering the title, content, category, etc. The device sends this information to the server, which verifies the prompt information and saves it in a database. The saved prompt is reflected in the prompt list and becomes searchable by other users. The emotion engine analyzes the prompt provider's emotion and assigns that information to the prompt.

[1661] Prompt search and selection: The idea provider accesses the prompt search page and performs a search by entering categories and keywords. The server uses an emotion engine to analyze the user's emotions and suggests the most appropriate prompt based on that information. The server searches the database based on the search criteria and returns matching prompts to the terminal. The user selects the prompt of interest from the search results.

[1662] Matching and utilization: The generative AI model is run using the prompt selected by the idea provider as input to generate ideas. The emotion engine optimizes the details of the prompt according to the user's emotions, and the generated ideas are displayed on the device.

[1663] Feedback and rating: The idea provider accesses the feedback page and enters their rating and comments. The device sends this information to the server, which uses an emotion engine to analyze the emotion at the time of feedback entry and assigns this information to the rating. The server then saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[1664] Specific examples

[1665] For example, a user creates a new account and enters the necessary basic information to register. During this registration, the system uses the emotion engine to record the user's emotion as "excitement." Next, a prompt provider registers a prompt for "generating new product ideas" in the business category. During this registration, the system also records the provider's emotion.

[1666] When the idea provider then searches for prompts in the business category, the system recognizes the provider's emotional state of "interest" and suggests the most suitable prompt. The idea provider selects the suggested prompt and generates a new product idea. In response to the generated idea, the idea provider sends a comment saying, "It was helpful, but a little more detail would have been better." In this case, the system records the emotion as "satisfied" and reflects it in the evaluation.

[1667] An example of a prompt sentence is "I want to generate a new business idea. I'm feeling excited." In this way, the most appropriate prompt is provided based on the user's emotions, improving the quality of the ideas generated and the reliability of the evaluation results.

[1668] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1669] Program processing steps

[1670] Handling user registration

[1671] Step 1:

[1672] A user opens a browser and visits the account creation page, entering basic information such as username, email address, and password.

[1673] Input: Username, Email Address, Password

[1674] Output: Basic information entered

[1675] Step 2:

[1676] The device sends the entered basic information to the server as an HTTPS request.

[1677] Input: Basic information

[1678] Output: HTTPS request to the server

[1679] Step 3:

[1680] The server receives the request and validates the format and content of the input information, for example, by checking the format of the email address or the strength of the password.

[1681] Input: HTTPS request with basic information

[1682] Output: Verification results

[1683] Step 4:

[1684] If the server is successful in the verification, it saves the basic information in the database.

[1685] Input: Verified basic information

[1686] Output: Basic information stored in the database

[1687] Step 5:

[1688] The server sends a confirmation email to the user via the SMTP server.

[1689] Input: Email address

[1690] Output:Confirmation email

[1691] Step 6:

[1692] The server calls the emotion recognition API, analyzes the user's emotions, and stores the information.

[1693] Input: User data when entering basic information

[1694] Output: Parsed emotion data

[1695] Handling prompt registrations

[1696] Step 1:

[1697] The prompt provider accesses the prompt registration page in a browser and enters the prompt title, content, category, etc.

[1698] Input: Prompt title, content, category

[1699] Output: Entered prompt information

[1700] Step 2:

[1701] The terminal sends the entered prompt information to the server as an HTTPS request.

[1702] Input: Prompt Information

[1703] Output: HTTPS request to the server

[1704] Step 3:

[1705] The server validates the prompt information entered, for example checking the length of the title and whether there is any content.

[1706] Input: HTTPS request for prompt information

[1707] Output: Verification results

[1708] Step 4:

[1709] The server saves the validated prompt information in a database.

[1710] Input: Validated prompt information

[1711] Output: Prompt information stored in the database

[1712] Step 5:

[1713] The server adds the saved prompt to the index and updates the prompt list.

[1714] Input: Prompt Information

[1715] Output: Updated prompt list

[1716] Step 6:

[1717] The server recognizes the prompter's emotion and adds that information to the prompt.

[1718] Input: Prompt provider data when registering a prompt

[1719] Output: A prompt with the parsed emotion data.

[1720] Handling search and select prompts

[1721] Step 1:

[1722] The idea provider accesses the prompt search page in a browser and enters search criteria such as categories and keywords.

[1723] Input: Search criteria (category, keyword)

[1724] Output: Search criteria entered

[1725] Step 2:

[1726] The server calls the emotion engine and analyzes the user's emotions during the search.

[1727] Input: Idea provider data at the time of search

[1728] Output: Parsed emotion data

[1729] Step 3:

[1730] The server suggests optimal prompts based on the emotional data and search criteria.

[1731] Input: Emotion data, search criteria

[1732] Output: Suggested prompt

[1733] Step 4:

[1734] The server searches the database based on the search criteria and retrieves matching prompts.

[1735] Input: Search criteria

[1736] Output: Search results (prompt list)

[1737] Step 5:

[1738] The server returns the search results in JSON format to the device, which displays them.

[1739] Input: Search results

[1740] Output: List of displayed prompts

[1741] Step 6:

[1742] The idea contributor selects a prompt that interests them from the list of prompts displayed.

[1743] Input: Prompt List

[1744] Output: Selected prompt

[1745] Matching and Usage Processing

[1746] Step 1:

[1747] The prompts selected by the idea provider are used as input data for the generative AI model.

[1748] Input: Selected prompt

[1749] Output: Input data to the generative AI model

[1750] Step 2:

[1751] The server uses an emotion engine to analyze the sent prompts and optimize them to the user's emotion.

[1752] Input: prompt, user emotion data

[1753] Output: Optimized prompt

[1754] Step 3:

[1755] The server invokes a generative AI model (e.g., GPT-3) and generates ideas using the optimized prompts as input.

[1756] Input: Optimized prompts

[1757] Output: Generated ideas

[1758] Step 4:

[1759] The terminal receives the generated ideas and displays them to the idea provider.

[1760] Input: Generated ideas

[1761] Output: Displayed ideas

[1762] Feedback and rating process

[1763] Step 1:

[1764] The idea submitter visits the feedback page and enters their rating and comments on the prompt.

[1765] Input: Rating, Comment

[1766] Output: Input feedback information

[1767] Step 2:

[1768] The terminal sends feedback information to the server.

[1769] Input: Feedback information

[1770] Output: HTTPS request to the server

[1771] Step 3:

[1772] The server calls the emotion engine and analyzes the emotion at the time of feedback input.

[1773] Input: User data when entering feedback

[1774] Output: Parsed emotion data

[1775] Step 4:

[1776] The server adds emotional data to the feedback and stores it in a database.

[1777] Input: Feedback information, emotion data

[1778] Output: Feedback stored in a database

[1779] Step 5:

[1780] The server updates the prompt provider's rating profile with the stored feedback information.

[1781] Input: Feedback information

[1782] Output: Updated assessment profile

[1783] Through the above processing steps, the system proposes prompts that take into account the user's emotions, generates ideas, and collects and evaluates feedback.

[1784] (Application example 2)

[1785] 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."

[1786] Conventional prompt delivery systems have difficulty efficiently matching idea creators with prompt providers, and lack a means to provide optimal prompts based on the user's emotions. This makes it difficult for idea creators to find and effectively use the prompts they need. Furthermore, they lack sufficient feedback and evaluation functions to improve the quality and relevance of prompts.

[1787] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to create an account and input basic information, means for a prompt provider to input and send the content and details of a prompt, means for saving the prompt information in a database and reflecting it in a list, means for an emotion engine to recognize the user's emotional state and save that information in a database, and means for the server to suggest the optimal prompt based on the user's emotional state. This enables the user to efficiently find the prompt they need and use the optimal prompt according to their emotion.

[1788] A "user" is someone who uses the system, such as an idea creator or a prompt provider.

[1789] An "account" refers to a registration state for holding a user's identification information.

[1790] "Basic information" refers to information such as name, email address, and password that a user enters when creating an account.

[1791] A "prompt" is input information in the form of text or a question that is provided to an ideation or generative AI model.

[1792] A "prompt provider" is a person who creates the content of a prompt and provides it to the system.

[1793] A "server" is a computer system that stores, processes, and distributes data.

[1794] A "database" is a collection of data managed and stored within a system.

[1795] A "list" is a summary table for displaying prompt information stored in a database.

[1796] An "emotion engine" is software or a system for recognizing a user's emotional state and storing that information in a database.

[1797] An "evaluation" is part of the feedback a user gives to a prompt they have used, and is an opinion provided in the form of a number or comment.

[1798] "Feedback" refers to the opinions and thoughts that users give to the system or prompts.

[1799] A "rating profile" is information that accumulates and displays the ratings of other users for a prompt provider.

[1800] "Emotional state" refers to the user's emotions and moods at any given time.

[1801] The "best prompt" is the prompt that best matches the user's emotional state and search criteria.

[1802] The system of the present invention aims to recognize the emotional state of a user using an emotion engine and efficiently match idea creators with prompt providers based on that state. This system allows idea creators to efficiently find the prompts they need and use the most appropriate prompts according to their emotions.

[1803] User registration

[1804] First, a user accesses the account creation page and enters basic information (username, email address, password). Once the user input information is entered, the device sends the information to the server. The server verifies the received information and sends a confirmation email. After receiving the confirmation email, the account is activated and the emotion engine recognizes the user's emotional state and stores that information in the database.

[1805] Registering a prompt

[1806] Next, the prompt giver accesses the prompt registration page and enters the prompt content, title, category, etc. The entered information is sent from the device to the server. The server verifies the content and records the prompt giver's emotional state when saving it to the database. Once the prompt is saved in the database, it is reflected in the list and can be searched and viewed by other users.

[1807] Search and select prompts

[1808] When an idea creator searches for a prompt, they first access the prompt search page and perform a search by specifying a category or keyword. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. The suggested prompts are displayed on the device as search results, and the idea creator can select the appropriate prompt from among them.

[1809] Feedback and Ratings

[1810] After using a prompt, the idea creator accesses the feedback page and enters their rating and comments. The device sends this information to the server, where the emotion engine recognizes the user's emotions when providing feedback and stores them in a database. This feedback information is reflected in the prompt creator's rating profile and can be used as reference when other users judge the quality of the prompt.

[1811] Hardware and software used

[1812] Hardware: Smartphones, servers

[1813] software:

[1814] Emotion engine: emotion_engine(tentative)

[1815] Database management system: video_db, user_db

[1816] Web server framework: Flask or Django

[1817] Specific examples

[1818] For example, when User A creates an account and enters basic information, the server sends a confirmation email and records the user's emotional state as "excitement" in the emotion engine. Next, Prompt Provider B registers a prompt for "Generate a new product idea" and records the emotional state at that time as "enjoyment." When Idea Creator C searches for prompts in the "Business" category, the emotion engine recognizes the user's emotion as "interest" and suggests the most appropriate prompt based on that.

[1819] Specific prompt examples

[1820] "I'm tired today. I recommend some fun videos to help me relax."

[1821] "I'm looking for inspiring videos that will lift my spirits."

[1822] This system allows users to use prompts that are optimally tailored to their emotional state at the time, enabling effective idea generation. Prompter providers can also receive high-quality feedback that can be used to improve their prompts.

[1823] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1824] Step 1:

[1825] A user accesses the account creation page and enters basic information (username, email address, password). The input data is sent from the device to the server. The server verifies the received basic information and sends a confirmation email. The emotion engine recognizes the user's emotional state and stores that information in a database.

[1826] Input: Username, Email Address, Password

[1827] Data processing: Verification of input information

[1828] Data Computing: Recognizing Emotional States with an Emotion Engine

[1829] Output: Send confirmation email, save emotional information

[1830] Step 2:

[1831] The prompt provider accesses the prompt registration page and enters the prompt title, content, category, etc. The input data is sent from the terminal to the server. The server verifies the entered prompt information and stores it in a database. The emotion engine recognizes the prompt provider's emotional state and adds that information to the prompt data.

[1832] Input: Prompt title, content, category

[1833] Data processing: Prompt information verification

[1834] Data Computing: Recognizing Emotional States with an Emotion Engine

[1835] Output: Save to database, add emotion information

[1836] Step 3:

[1837] The idea creator accesses the prompt search page and searches for prompts by entering categories and keywords. The input data is sent from the device to the server. The server uses an emotion engine to recognize the user's current emotional state and suggests the most appropriate prompt based on that information. It then searches the database and returns the search results to the device.

[1838] Input: Category, Keywords

[1839] Data processing: Database search based on search criteria

[1840] Data Computation: Emotional state recognition by emotion engine and suggesting optimal prompts

[1841] Output: Suggests the best prompts, returns search results

[1842] Step 4:

[1843] The idea creator selects prompts and runs the generative AI model to generate ideas, which are then displayed on the device.

[1844] Input: Selected prompt

[1845] Data processing: Idea generation using generative AI models

[1846] Data Computing: Running Generative AI Models

[1847] Output: Display of generated ideas

[1848] Step 5:

[1849] The idea creator accesses the feedback page for the prompt they used and enters their rating and comments. The input data is sent from the device to the server. The emotion engine recognizes the user's emotion when giving feedback and adds that information to the rating. The server saves the feedback information in a database and reflects it in the prompt provider's rating profile.

[1850] Input: Rating, Comment

[1851] Data Processing: Feedback Storage

[1852] Data Computing: Recognizing Emotional States with an Emotion Engine

[1853] Output: Reflection in evaluation profile

[1854] In this way, it is possible to provide optimal prompts according to the user's emotional state, and to generate ideas and process feedback based on those prompts.

[1855] 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.

[1856] 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.

[1857] 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.

[1858] 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.

[1859] FIG. 9 illustrates 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 behaviors 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.

[1860] 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.

[1861] 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).

[1862] 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.

[1863] 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."

[1864] 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.

[1865] 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).

[1866] 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.

[1867] 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.

[1868] 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.

[1869] 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.

[1870] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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 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.

[1871] 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.

[1872] 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.

[1873] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1874] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1875] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1876] The following is further disclosed regarding the above embodiment.

[1877] (Claim 1)

[1878] A system for matching idea creators with prompt providers, comprising:

[1879] A means for users to create an account and enter basic information;

[1880] A means for the prompter to enter and submit the prompt and its details;

[1881] The server stores the prompt information in a database and updates the list.

[1882] A way for idea creators to find and select the prompts they need;

[1883] a means for the server to return matching prompts based on the search criteria;

[1884] a means of utilizing prompts selected by the idea creator;

[1885] A means for idea creators to provide ratings and feedback on the prompts they use;

[1886] a means for the server to update the prompt provider's rating profile with the rating information;

[1887] A system including:

[1888] (Claim 2)

[1889] 10. The system of claim 1, further comprising means for the server to validate the user input information and send a confirmation email.

[1890] (Claim 3)

[1891] 10. The system of claim 1, further comprising means for the server to validate the content of the entered prompt and add the prompt information stored in the database to a list of prompts.

[1892] "Example 1"

[1893] (Claim 1)

[1894] A means for users to create an account and enter basic information;

[1895] A means for the prompter to enter and submit the prompt and its details;

[1896] The server stores the prompt information in a database and updates the list.

[1897] A way for idea creators to find and select the prompts they need;

[1898] a means for the server to return matching prompts based on the search criteria;

[1899] a means for running a generative AI model utilizing prompts selected by the idea creator;

[1900] A means for idea creators to provide ratings and feedback on the prompts they use;

[1901] a means for the server to update the prompt provider's rating profile with the rating information;

[1902] A system including:

[1903] (Claim 2)

[1904] 10. The system of claim 1, further comprising means for the server to validate the user input information and send a confirmation email.

[1905] (Claim 3)

[1906] 10. The system of claim 1, further comprising means for the server to validate the content of the entered prompt and add the prompt information stored in the database to a list of prompts.

[1907] "Application Example 1"

[1908] (Claim 1)

[1909] A system for matching idea creators with prompt providers, comprising:

[1910] A means for users to create an account and enter basic information;

[1911] A means for content creators to enter and submit the prompt and its details; and

[1912] The server stores the prompt information in a database and updates the list.

[1913] A way for content creators to find and select the prompts they need;

[1914] a means for the server to return matching prompts based on the search criteria;

[1915] A means of using author-selected prompts; and

[1916] A means of generating new content ideas using generative AI models; and

[1917] A means for content creators to provide ratings and feedback on the prompts used;

[1918] a means for the server to update the prompt provider's rating profile with the rating information;

[1919] A system including:

[1920] (Claim 2)

[1921] 10. The system of claim 1, further comprising means for the server to validate the user input information and send a confirmation email.

[1922] (Claim 3)

[1923] 10. The system of claim 1, further comprising means for the server to validate the content of the entered prompt and add the prompt information stored in the database to a list of prompts.

[1924] "Example 2: Combining Emotion Engines"

[1925] (Claim 1)

[1926] A means for users to create an account and enter basic information;

[1927] A means for the prompter to enter and submit the prompt and its details;

[1928] The server stores the prompt information in a database and updates the list.

[1929] A way for idea creators to find and select the prompts they need;

[1930] a means for the server to return matching prompts based on the search criteria;

[1931] a means of utilizing prompts selected by the idea creator;

[1932] A means for idea creators to provide ratings and feedback on the prompts they use;

[1933] a means for the server to update the prompt provider's rating profile with the rating information;

[1934] a means for the emotion engine to recognize the emotions of the user and the prompt provider and to add that information to the prompts and feedback;

[1935] A system including:

[1936] (Claim 2)

[1937] 10. The system of claim 1, further comprising means for the server to validate the user input information and send a confirmation email.

[1938] (Claim 3)

[1939] 10. The system of claim 1, further comprising means for the server to validate the content of the entered prompt and add the prompt information stored in the database to a list of prompts.

[1940] (Claim 4)

[1941] 10. The system of claim 1, further comprising means for the emotion engine to recognize the emotion of the user when the user searches for a prompt and to suggest optimal prompts based thereon.

[1942] (Claim 5)

[1943] 10. The system of claim 1, further comprising means for generating ideas by optimizing details of prompts using a generative AI model according to emotions of an idea creator.

[1944] "Application example 2 when combining emotion engines"

[1945] (Claim 1)

[1946] A means for users to create an account and enter basic information;

[1947] A means for the prompter to enter and submit the prompt and its details;

[1948] The server stores the prompt information in a database and updates the list.

[1949] A way for idea creators to find and select the prompts they need;

[1950] a means for the server to return matching prompts based on the search criteria;

[1951] a means of utilizing prompts selected by the idea creator;

[1952] A means for idea creators to provide ratings and feedback on the prompts they use;

[1953] a means for the server to update the prompt provider's rating profile with the rating information;

[1954] a means for the emotion engine to recognize the user's emotional state and store that information in a database;

[1955] a means for the server to suggest optimal prompts based on the user's emotional state;

[1956] A system including:

[1957] (Claim 2)

[1958] 10. The system of claim 1, further comprising means for the server to validate the user input information and send a confirmation email.

[1959] (Claim 3)

[1960] 10. The system of claim 1, further comprising means for the server to validate the content of the entered prompt and add the prompt information stored in the database to a list of prompts. [Explanation of symbols]

[1961] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A system for matching idea creators with prompt providers, comprising: A means for users to create an account and enter basic information; A means for the prompter to enter and submit the prompt and its details; The server stores the prompt information in a database and updates the list. A way for idea creators to find and select the prompts they need; a means for the server to return matching prompts based on the search criteria; a means of utilizing prompts selected by the idea creator; A means for idea creators to provide ratings and feedback on the prompts they use; a means for the server to update the prompt provider's rating profile with the rating information; A system including:

2. 2. The system of claim 1, further comprising means for the server to validate user input information and send a confirmation email.

3. 2. The system of claim 1, further comprising means for the server to validate the content of the entered prompt and add the prompt information stored in the database to the prompt list.

Images