System

Abstract

A system is provided.SOLUTION: Means for providing an interface for a question to be filled in by a user, means for transmitting the filled-in question to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for evaluating the received question-answer pair and checking the reliability, and means for storing the question-answer pair that has passed the evaluation in a database; A system comprising: means for listing in a marketplace; means for providing an interface for viewing and selecting a listed question and answer pair; means for payment processing for purchasing the selected question and answer pair; and means for providing the purchased question and answer pair to a user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern information gathering, obtaining reliable answers is extremely important, but in many cases, this requires a great deal of time and effort. Furthermore, answers obtained using generative AI are not always reliable. Therefore, there is a need for a method to easily and quickly obtain reliable questions and answers. Furthermore, when generative AI provides answers, it is often difficult for users to create high-quality questions themselves. Therefore, a system is needed that can assist users in creating questions and obtain reliable answers to efficiently obtain the answers they desire. [Means for solving the problem]

[0005] The present invention provides a system that provides an interface for users to enter questions and send them to an artificial intelligence module. It also includes a means for receiving answers generated by the artificial intelligence module and evaluating the question and answer pairs to check their reliability. It also provides a means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace. It also provides an interface for browsing and selecting listed question and answer pairs, and includes a payment processing means for purchasing selected pairs. Furthermore, by providing a means for providing purchased question and answer pairs to users, a system that efficiently provides reliable information is realized.

[0006] A "User" is any individual or entity that accesses the System to post questions or purchase question and answer pairs.

[0007] The "interface" includes screens and operating means for users to input questions, select question and answer pairs, and carry out purchasing procedures.

[0008] "Artificial Intelligence Module" refers to a software program or algorithm that generates appropriate answers to questions posted by users.

[0009] A "generated answer" is an answer generated by an artificial intelligence module to a user's question.

[0010] "Reliability checks" include algorithms and processes for assessing the quality and accuracy of the answers generated.

[0011] "Database" refers to an information storage system for storing question and answer pairs whose authenticity has been verified.

[0012] A "marketplace" is an online platform where saved question and answer pairs are listed and available for users to browse and purchase.

[0013] "Payment processing means" includes a payment system or process for paying for the purchase of the question and answer pairs selected by the user.

[0014] A "session" refers to a series of operations and communications between when a user logs in to the system and when they log out. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

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

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

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

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0030] 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.

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

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] This invention is a system that uses an artificial intelligence module to generate answers to questions entered by users, and lists the question-answer pairs on a marketplace after evaluating their reliability, allowing users to purchase them. A specific embodiment of this system will be described below.

[0037] 1. User Registration and Login

[0038] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link contained in the email to activate the account. The user then enters their email address and password to log in to the system.

[0039] 2. Post and submit your question

[0040] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[0041] 3. Evaluate and save question and answer pairs

[0042] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[0043] 4. View and purchase Q&A pairs

[0044] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[0045] 5. Use after purchase

[0046] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0047] Specific examples

[0048] As a specific example, when user A posts a question, "How do I remove duplicates in a list using Python?", the server sends this question to an artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, user B selects this question and answer pair for purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[0049] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[0050] The processing flow will be explained below.

[0051] Program processing steps

[0052] User Registration and Login

[0053] Step 1:

[0054] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[0055] Step 2:

[0056] The user enters their email address and password into the registration form and clicks the "Submit" button.

[0057] Step 3:

[0058] The device sends the entered email address and password to the server.

[0059] Step 4:

[0060] The server stores the received email address and password in a database and generates a confirmation email.

[0061] Step 5:

[0062] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[0063] Step 6:

[0064] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[0065] Step 7:

[0066] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[0067] Posting and Submitting Questions

[0068] Step 1:

[0069] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[0070] Step 2:

[0071] The user enters the question in the text box and clicks the "Submit" button.

[0072] Step 3:

[0073] The terminal transmits the query data to the server.

[0074] Step 4:

[0075] The server sends the received question to the API endpoint of the artificial intelligence module.

[0076] Rate and save question and answer pairs

[0077] Step 1:

[0078] The server receives the generated answers from the artificial intelligence module.

[0079] Step 2:

[0080] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[0081] Step 3:

[0082] Question and answer pairs that pass the evaluation are stored in a database.

[0083] Step 4:

[0084] The server lists the saved question and answer pairs in a marketplace.

[0085] Browse and purchase Q&A pairs

[0086] Step 1:

[0087] A user visits the marketplace and browses the listed question and answer pairs.

[0088] Step 2:

[0089] Users select the question and answer pairs that interest them and click "Add to Cart."

[0090] Step 3:

[0091] The user confirms the selected pair on the cart screen and clicks "Proceed to checkout."

[0092] Step 4:

[0093] The terminal transmits the purchase information to the server.

[0094] Step 5:

[0095] The server sends a request to the payment gateway API to process the payment.

[0096] Step 6:

[0097] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[0098] Use after purchase

[0099] Step 1:

[0100] The user clicks on the download link in the purchase confirmation email to go to the download page.

[0101] Step 2:

[0102] The user clicks the "Download" button to download the purchased question and answer pair.

[0103] Step 3:

[0104] The server receives the download request and sends the purchased pair to the user's device.

[0105] This allows the user to efficiently obtain highly reliable information.

[0106] Example 1

[0107] 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."

[0108] Conventional question-answering systems have difficulty providing reliable answers to questions posted by users, and lack a mechanism for efficiently managing and selling those questions and answers. As a result, users may make decisions based on unreliable information, and information transactions are not carried out smoothly.

[0109] 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.

[0110] In this invention, the server includes means for providing an interface for users to enter questions, means for transmitting the entered questions to a data processing device, means for receiving answers generated by the data processing device, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a storage device and listing them on a marketplace, means for providing an interface for browsing and selecting from the listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to users, means for checking the reliability and accuracy using multiple algorithms, and means for providing links for downloading the question and answer pairs purchased by users, thereby enabling users to efficiently obtain reliable information and make accurate decisions based on that information.

[0111] "User" refers to a person who uses this system, and is an entity that posts questions and purchases answers.

[0112] "Interface" refers to the screens and tools that allow users to enter questions and interact with the system.

[0113] "Data processing device" refers to a device or system that contains an artificial intelligence module for receiving user-submitted questions and generating answers.

[0114] "Storage device" refers to a database or storage for storing question and answer pairs that have passed evaluation.

[0115] "Marketplace" refers to an online platform where saved question and answer pairs are listed and available for users to browse and purchase.

[0116] "Algorithm" refers to the set of computational procedures or routines used to assess the reliability and accuracy of the responses received.

[0117] "Payment processing means" refers to the mechanism or method for making payments when a user purchases a question and answer pair.

[0118] "Link" means a URL or button containing instructions for a User to download the question and answer pair they purchased.

[0119] MODE FOR CARRYING OUT THE INVENTION

[0120] This invention is a system that uses a generative AI model to generate answers to questions entered by users, evaluates the question-answer pairs to check their reliability, and then lists them on a marketplace where users can purchase them.

[0121] Hardware and Software Use

[0122] Terminal: A device used by a user to access the system, including PCs, smartphones, tablets, etc.

[0123] Server: A central processing unit for processing, storing, rating, and operating the marketplace.

[0124] Storage device: Refers to databases and cloud storage, and stores various data within the system.

[0125] Generative AI models: Generate answers to questions using natural language processing models such as GPT-3.

[0126] Specific processing of the system

[0127] 1. User Account Registration and Login

[0128] A user accesses the system, enters an email address and password, and registers an account, which sends the user information to the server and stores it in a database.

[0129] After registration, the server will send a confirmation email to the user, and the user will click on the confirmation link to activate the account. After that, the user will enter their email address and password on the login screen to log in to the system.

[0130] 2. Post and submit your question

[0131] After logging in, users access the question submission screen, enter their question, and click the send button, which causes the device to send the question data to the server.

[0132] The server sends the received question to a generative AI model, which then generates an appropriate answer to the question and sends it back to the server.

[0133] 3. Evaluate and save question and answer pairs

[0134] The server evaluates the answers received from the generative AI model, using multiple algorithms to check for reliability and accuracy.

[0135] Question and answer pairs whose authenticity has been confirmed are stored in a storage device and listed on the marketplace.

[0136] 4. View and purchase Q&A pairs

[0137] A user visits the marketplace and browses the listed question and answer pairs.

[0138] Users select the pair they are interested in, add it to their cart, and then check out. The device sends the purchase information to the server, which processes the payment. Once the process is complete, the purchase history is saved in a database.

[0139] 5. Use after purchase

[0140] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0141] Specific examples

[0142] As a specific example, when User A posts a question, "How do I remove duplicates from a list in Python?", the server sends this question to a generative AI model. The model generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, User B purchases this question and answer pair on the marketplace and completes the payment process. User B can download and use the purchased pair.

[0143] Prompt Sentence Examples

[0144] Question posting prompt:

[0145] "How to remove duplicates from a list in Python?"

[0146] Prompt for the generative AI model:

[0147] Question: How to remove duplicates from a list in Python?

[0148] answer:

[0149] This system allows users to efficiently obtain highly reliable information and make accurate decisions based on that information.

[0150] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0151] Step 1: User Registration

[0152] A user accesses the system, enters an email address and password, and registers an account. This operation provides input information (email address, password).

[0153] The terminal transmits the input information to the server.

[0154] The server stores the received information in a database and returns a success message.

[0155] The server will send a confirmation email to the user and they will need to click on the link in the email to activate their account.

[0156] Step 2: Log in

[0157] The user enters their email address and password to access the login screen. The input information (email address, password) is obtained.

[0158] The terminal transmits this login information to the server.

[0159] The server refers to the database to perform authentication, and if successful, generates and sends an authentication token.

[0160] The user receives an authentication token and the login is complete.

[0161] Step 3: Post a question

[0162] The user accesses the question posting screen and enters the question in the text box. The input information (question) is obtained.

[0163] The user clicks the send button, and the terminal transmits the question data to the server.

[0164] The server sends the question data to the generative AI model.

[0165] Step 4: Generate an answer

[0166] The generative AI model analyzes the received question data and generates an appropriate answer. This operation produces output data (answers) based on input data (questions).

[0167] The generative AI model sends the generated answer back to the server.

[0168] Step 5: Evaluate question-answer pairs

[0169] The server applies the answers received from the generative AI model to an evaluation algorithm, which produces output data (evaluation results) based on the input data (question-answer pairs).

[0170] The server uses multiple algorithms to verify authenticity and accuracy.

[0171] Step 6: Save the question and answer pair

[0172] The server saves the verified question-answer pairs in a storage device. The input of this operation is the evaluation result and the question-answer pair, and the output is a success message.

[0173] The server lists the saved question and answer pairs in a marketplace.

[0174] Step 7: Browse the Marketplace

[0175] A user accesses the marketplace to view the listed question and answer pairs. This action displays the listed question and answer pairs.

[0176] The user selects pairs that interest them and adds them to their cart.

[0177] Step 8: Checkout

[0178] The user then completes the purchase process for the question and answer pair added to the cart and enters payment information. The input for this operation is payment information and purchase information, and the output is a purchase confirmation message.

[0179] The terminal transmits the purchase information to the server.

[0180] The server processes the payment and stores the purchase history in a database.

[0181] Step 9: Download

[0182] The user receives a download link from their purchase history and clicks on the link to download the question and answer pairs.

[0183] The server receives the download request and sends the data to the user. The input of this operation is the download request, and the output is the question-answer pair data.

[0184] (Application example 1)

[0185] 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."

[0186] In today's information society, users need to quickly obtain reliable information. However, the vast amount of information on the Internet, and much of it lacks reliability and accuracy, presents a challenge for users, making it difficult to accurately obtain the information they need. In addition, there are cases where the downloaded and used information is not smoothly completed.

[0187] 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.

[0188] In this invention, the server includes means for providing an interface for users to enter questions, means for sending the entered questions to an artificial intelligence module, means for receiving answers generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for viewing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to the user, means for listing and displaying the evaluated question and answer pairs based on their reliability and accuracy, and means for downloading the purchased question and answer pairs after the user has completed payment, thereby enabling users to quickly and efficiently obtain reliable information and smoothly download and use the purchased information.

[0189] A "user" is an individual or entity that uses the system to enter questions and obtain answers.

[0190] A "question interface" is a means of the user interface through which a question is entered by a user.

[0191] An "artificial intelligence module" is a means containing artificial intelligence algorithms that generate appropriate answers based on questions submitted by users.

[0192] The "receiving means" is a means by which the server receives the answer generated by the artificial intelligence module.

[0193] An "evaluation means" is a means that includes an algorithm or process that evaluates received question and answer pairs and checks their reliability.

[0194] The "database storage means" is a means for storing question and answer pairs that have passed the evaluation in a database.

[0195] A "marketplace listing means" is a means for listing a question and answer pair stored in the database on the marketplace.

[0196] A "viewing interface" is an interface means by which a user can view and select from the listed question and answer pairs.

[0197] The "payment processing means" is a means for processing a payment to purchase the selected question and answer pair.

[0198] The "provision means" is a means for providing the purchased question and answer pairs to the user.

[0199] A "listing means" is a means for listing and displaying rated question and answer pairs on the marketplace based on reliability and accuracy.

[0200] The "downloading means" is a means for allowing a user to download the question and answer pairs purchased by the user.

[0201] The present invention provides a system in which a user inputs a financial-related question into the system, which generates a reliable answer using an artificial intelligence module, lists the question-answer pair on a marketplace, and allows users to purchase it through electronic payment. An embodiment of the system will be described in detail below.

[0202] 1. User Registration and Login

[0203] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends the user a confirmation email, and the user clicks on the link contained in the email to activate their account. The user then enters their email address and password to log in to the system.

[0204] 2. Post and submit your question

[0205] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[0206] 3. Evaluate and save question and answer pairs

[0207] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[0208] 4. View and purchase Q&A pairs

[0209] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[0210] 5. Use after purchase

[0211] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0212] Hardware and software used

[0213] Database: MySQL

[0214] Frontend: React Native (smartphone app)

[0215] Backend: Node.js

[0216] Artificial Intelligence Module: Generative AI models (e.g., OpenAI GPT-4)

[0217] Specific examples

[0218] As a specific example, consider the case where User A posts the question, "What is the safest way to store Bitcoin?" This question is sent from the device to the server, which then passes it to the AI ​​module. The AI ​​module generates an answer, "Using a hardware wallet is the safest way," and sends it back to the server. The server evaluates this answer, and if it is found to be reliable, stores it in its database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace, completing the payment process. User B can then download and use the purchased pair.

[0219] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[0220] Prompt Sentence Examples

[0221] How to store Bitcoin safely?

[0222] What is the best investment strategy?

[0223] What is an index fund?

[0224] This system allows users to obtain accurate answers to their questions and make decisions based on reliable information.

[0225] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0226] Step 1:

[0227] A user accesses the system and registers an account. An email address and password are entered from the terminal and sent to the server. The server receives this information and stores it in a database. The server then sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The input is an email address and password, and the output is sending a confirmation email and updating the database.

[0228] Step 2:

[0229] A user logs into the system by entering an email address and password. The terminal sends this information to the server, which then queries the database for the relevant user information. If authentication is successful, the user transitions from the login screen to the home screen. The input is login information (email address and password), and the output is a screen transition based on the authentication result.

[0230] Step 3:

[0231] After logging in, the user accesses the question submission screen and enters the question in the text box. When the user clicks the send button, the device sends this question data to the server. The server then passes the question to the artificial intelligence module. The input to this process is the user's question entry, and the output is the server's transfer of the question data to the AI ​​module.

[0232] Step 4:

[0233] The AI ​​module generates an answer based on the received question. The generated answer is sent back to the server. The input is the user's question data, and the output is the answer data generated by the AI ​​module.

[0234] Step 5:

[0235] The server evaluates the answers received from the artificial intelligence module. The evaluation uses multiple algorithms (e.g., reliability check, accuracy check). Successfully evaluated question-answer pairs are stored in a database. The input is the answer data from the AI ​​module, and the output is the database storage of the evaluated data.

[0236] Step 6:

[0237] The server lists the question and answer pairs stored in the database on the marketplace, making them available for other users to view. The input is the rated data in the database, and the output is updates to the marketplace.

[0238] Step 7:

[0239] A user visits the marketplace, browses the listed question-answer pairs, selects one, and adds the selected question-answer pair to their cart. The input is the user's marketplace browsing behavior, and the output is cart updates.

[0240] Step 8:

[0241] To purchase the selected question and answer pair, the user enters payment information, which the terminal sends to the server. The server processes the payment and, if successful, stores the purchase information in a database. The input is the payment information, and the output is the payment processing result and an update to the database.

[0242] Step 9:

[0243] After payment is completed, the server provides the purchased question and answer pair to the user via a download link, and the user downloads it from the provided link. The input is a payment completion notification, and the output is the provision of a download link and the data download.

[0244] 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.

[0245] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0246] 1. User Registration and Login

[0247] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The user then enters their email address and password to log in to the system.

[0248] 2. Posting questions and recognizing emotions

[0249] After logging in, the user accesses the question posting screen. The user enters the question in the text box. At the same time, the emotion engine recognizes the user's emotions from their facial expressions and typing speed. The emotion engine then sends the recognized emotion data to the server.

[0250] 3. Sending questions and emotion data

[0251] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the artificial intelligence module.

[0252] 4. Generating and Evaluating Question-Answer Pairs

[0253] The server receives the answers generated by the AI ​​module. The AI ​​module can adjust the tone and content of the answers based on the emotional data. For example, if the user is feeling anxious, an encouraging answer may be provided. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database. The server then lists the stored pairs on the marketplace.

[0254] 5. View and purchase Q&A pairs

[0255] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion. When the user finds a pair that interests them, they select it, add it to their cart, and then complete the purchase. The device sends the purchase information to the server, which then processes the payment. Once the payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[0256] 6. Use after purchase

[0257] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[0258] Specific examples

[0259] As a specific example, if User A posts a question asking, "How do I remove duplicates from a list in Python?", the emotion engine recognizes User A's state of tension. The server sends this question data and emotion data to the AI ​​module, which provides the answer, "Use list(set(my_list))," and also includes an encouraging message, "You can do it easily!" The server evaluates this answer, and if it is confirmed to be reliable, it stores it in the database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[0260] In this way, the present invention realizes a system that can provide more personalized information by taking into account the user's emotions, thereby improving the user experience and enabling the efficient acquisition of reliable information.

[0261] The processing flow will be explained below.

[0262] Program processing steps

[0263] User Registration and Login

[0264] Step 1:

[0265] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[0266] Step 2:

[0267] The user enters their email address and password into the registration form and clicks the "Submit" button.

[0268] Step 3:

[0269] The device sends the entered email address and password to the server.

[0270] Step 4:

[0271] The server stores the received email address and password in a database and generates a confirmation email.

[0272] Step 5:

[0273] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[0274] Step 6:

[0275] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[0276] Step 7:

[0277] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[0278] Posting questions and recognizing emotions

[0279] Step 1:

[0280] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[0281] Step 2:

[0282] The user begins to type their question into the text box, and the emotion engine monitors their facial expressions and typing speed in real time.

[0283] Step 3:

[0284] The emotion engine analyzes the user's emotion data (e.g., anxiety, joy, tension, etc.) and sends it to the server.

[0285] Step 4:

[0286] After the user has finished entering the question, he or she clicks the "Submit" button.

[0287] Submitting questions and emotion data

[0288] Step 1:

[0289] The terminal transmits the question data and emotion data to the server.

[0290] Step 2:

[0291] The server sends the received question data and emotion data to the API endpoint of the artificial intelligence module.

[0292] Generating and evaluating question-answer pairs

[0293] Step 1:

[0294] The server receives the response generated by the AI ​​module, and adjusts the tone and content of the response generated by the AI ​​module based on the emotional data.

[0295] Step 2:

[0296] For example, if the user is feeling anxious, the AI ​​module can generate encouraging responses such as, "Use list(set(my_list)). Don't worry, this is easy!"

[0297] Step 3:

[0298] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[0299] Step 4:

[0300] Question and answer pairs that pass the evaluation are stored in a database.

[0301] Step 5:

[0302] The server lists the saved question and answer pairs in a marketplace.

[0303] Browse and purchase Q&A pairs

[0304] Step 1:

[0305] A user visits the marketplace and browses the listed question and answer pairs.

[0306] Step 2:

[0307] The emotion engine then recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion.

[0308] Step 3:

[0309] When a user finds a question and answer pair that interests them, they select it, add it to their cart, and click the "Proceed to Checkout" button.

[0310] Step 4:

[0311] The terminal transmits the purchase information to the server.

[0312] Step 5:

[0313] The server sends a request to the payment gateway API to process the payment.

[0314] Step 6:

[0315] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[0316] Use after purchase

[0317] Step 1:

[0318] The user clicks on the download link in the purchase confirmation email to go to the download page.

[0319] Step 2:

[0320] The user clicks the "Download" button to download the purchased question and answer pair.

[0321] Step 3:

[0322] The server receives the download request and sends the purchased pair to the user's device.

[0323] The above processing steps allow users to efficiently obtain highly reliable information. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized information. This further improves the user experience and enables the provision of highly satisfying services.

[0324] Example 2

[0325] 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."

[0326] Modern information retrieval systems make it difficult for users to quickly and accurately obtain the information most relevant to them. Furthermore, they lack a mechanism for providing personalized answers that reflect the user's emotions and circumstances, resulting in a lack of improvement in the user experience. In particular, they are unable to generate answers with the appropriate tone and content for each question, making it difficult to increase user satisfaction.

[0327] 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.

[0328] In this invention, the server includes means for providing an interface for a user to enter a question, means for transmitting the entered question and the user's emotion data to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting the listed question and answer pairs, means for customizing the list of question and answer pairs to be displayed based on the user's emotion data, means for processing payments for purchasing the selected question and answer pairs, and means for providing the purchased question and answer pairs to the user. This enables the provision of personalized information according to the user's emotions and situation, improving the user experience and enabling the efficient acquisition of reliable information.

[0329] A "question" is text data that a user inputs to the system to request information.

[0330] An "interface" is a system component that provides a screen and input means for users to perform specific operations.

[0331] An "artificial intelligence module" is software that includes machine learning algorithms and databases to generate appropriate answers based on a user's questions.

[0332] "Emotion data" is data that expresses the user's emotional state, and is extracted from facial expressions, movements, input speed, etc. analyzed by the emotion engine.

[0333] An "emotion engine" is a hardware or software component for analyzing a user's emotional state and generating emotion data.

[0334] "Evaluation Algorithm" means a computational method used to verify the reliability and accuracy of answers generated by an artificial intelligence module.

[0335] A "marketplace" is an online platform where question and answer pairs that have passed evaluation are listed and can be viewed and purchased by users.

[0336] "Payment Processing Entity" means a system component for processing a user's payment information when purchasing a selected question and answer pair.

[0337] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0338] 1. Account Registration and Login

[0339] A user first accesses the system's web page and enters their email address and password in the account registration form. The terminal sends this information to the server, which stores the received information in a database. The server generates a confirmation email and sends it to the user's email address. The user clicks the link in the confirmation email to activate their account. The user then enters their email address and password to log in to the system.

[0340] 2. Posting questions and recognizing emotions

[0341] A user accesses a question submission page and enters a question in the text box. The device activates the emotion engine, which analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates the recognized emotion data and sends it to the device. The device then sends the question data and emotion data to the server.

[0342] 3. Generating and Evaluating Question-Answer Pairs

[0343] The server sends question data and emotion data to the AI ​​module's API endpoint. The AI ​​module generates an answer with the appropriate tone and content based on the user's question and emotion data. The server receives the generated answer and verifies its reliability and accuracy using a rating algorithm. The server stores question and answer pairs that pass the rating in a database and lists them on the marketplace.

[0344] 4. View and purchase Q&A pairs

[0345] The user accesses the marketplace page and browses the listed question and answer pairs. The device again activates the emotion engine to recognize the user's current emotion. The emotion engine uses the generated emotion data to customize the list of question and answer pairs to display. The user selects pairs that interest them, adds them to their cart, and completes the purchase. The device sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase information in its database and sends the user a purchase confirmation email.

[0346] 5. Use after purchase

[0347] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[0348] Specific examples

[0349] For example, user A posts a question such as "How do I remove duplicates from a list using Python?". User A enters the question, and the emotion engine recognizes user A's state of tension. The device sends the question data and emotion data to the server, which then sends them to the artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and simultaneously adds an encouraging message, "You can do it easily!" The server evaluates the reliability of this answer, and if it is confirmed, stores it in its database and lists it on the marketplace. Next, user B purchases this question and answer pair from the marketplace and completes the payment. User B can download and use the purchased pair.

[0350] Prompt Sentence Examples

[0351] A prompt sentence to input question data and emotion data to the generative AI model:

[0352] User Question: "How to remove duplicates from a list in Python?"

[0353] User emotion data: "Tension"

[0354] Tone of response: "Encouraging"

[0355] In this way, the present invention realizes a system that takes user emotions into consideration to provide more personalized information, improving the user experience and enabling efficient acquisition of reliable information.

[0356] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0357] Step 1:

[0358] The user accesses the system's web page and enters their email address and password in the account registration form.

[0359] Input: Email address, password

[0360] Output: User registration request

[0361] Operation: The device sends the entered information to the server, which stores it in a database and generates a confirmation email to send to the user.

[0362] Step 2:

[0363] The user clicks on the link in the confirmation email to activate the account.

[0364] Input: Confirmation email

[0365] Output: Account activation request

[0366] What it does: The server receives the link click and updates the database to activate the account.

[0367] Step 3:

[0368] To log in to the system, the user enters their email address and password.

[0369] Input: Email address, password

[0370] Output: Login request

[0371] Operation: The terminal sends login information to the server, which checks it against a database, authenticates it, and starts a session if authentication is successful.

[0372] Step 4:

[0373] The user accesses the question submission page and enters the question in the text box.

[0374] Input: Question

[0375] Output: Question data

[0376] Action: The device starts the emotion engine and analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates emotion data and sends it to the device.

[0377] Step 5:

[0378] The terminal transmits the question data and emotion data to the server.

[0379] Input: Question data, emotion data

[0380] Output: Request to send question and sentiment data

[0381] How it works: The server sends these data to the API endpoint of the artificial intelligence module.

[0382] Step 6:

[0383] The server receives the generated answers from the artificial intelligence module.

[0384] Input: Question data, emotion data

[0385] Output: The generated answer

[0386] How it works: The AI ​​module generates an answer based on the question and emotion data. The server receives this answer.

[0387] Step 7:

[0388] The server rates the trustworthiness of the answer.

[0389] Input: Generated Answer

[0390] Output: Evaluation results

[0391] How it works: The server uses a rating algorithm to verify the reliability and accuracy of the answer, and if it passes, stores it in a database.

[0392] Step 8:

[0393] The server lists question and answer pairs that pass the evaluation on the marketplace.

[0394] Input: Question and answer pairs that pass the evaluation

[0395] Output: Marketplace listing

[0396] Operation: The server publishes the listed data to the marketplace.

[0397] Step 9:

[0398] Users browse the question and answer pairs listed in the marketplace.

[0399] Input: Marketplace access

[0400] Output: A list of question and answer pairs

[0401] Action: The device will start the emotion engine again, recognize the user's current emotion, and customize the display list.

[0402] Step 10:

[0403] The user selects the question and answer pairs that interest them and then completes the purchase process.

[0404] Input: Selected question and answer pairs

[0405] Output: Purchase request

[0406] Operation: The terminal sends the purchase information to the server, which processes the payment. After the payment is completed, the purchase information is saved in the database.

[0407] Step 11:

[0408] The user downloads the purchased question and answer pairs.

[0409] Input: Download request

[0410] Output: Download question and answer pairs

[0411] Operation: The server receives the download request and sends the purchased pair to the user's device.

[0412] (Application example 2)

[0413] 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."

[0414] Conventional question-answering systems generate answers without considering the user's emotions, which can result in answers that do not match the user's emotional state. This leads to issues such as a poor user experience and limited usefulness of the information provided. Furthermore, there are insufficient evaluation methods to efficiently provide only reliable information, which can lead to variations in the quality of the information.

[0415] The identification process by the identification 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 providing an interface for a user to enter a question, means for sending the entered question to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for acquiring user emotion data, means for adjusting the tone and content of the generated answer based on the emotion data, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pair, and means for providing the purchased question and answer pair to the user. This makes it possible to provide personalized answers according to the user's emotions and efficiently obtain reliable information.

[0416] "User" refers to an individual or organization that uses this system to post questions and receive answers.

[0417] "Interface" refers to the means, including screens and features, used by a user to enter a question and to view and select from listed question and answer pairs.

[0418] "Artificial Intelligence Module" refers to algorithms and associated software for generating optimal answers to questions submitted by users.

[0419] "Emotion data" refers to information that indicates the user's emotional state (for example, tension, anxiety, joy, etc.).

[0420] An "emotion engine" refers to software and algorithms that analyze user input information, facial expressions, etc. to recognize emotional data.

[0421] "Means to adjust tone and content" refers to a feature that allows users to customize the tone and content of responses generated by the AI ​​module based on emotional data.

[0422] "Evaluation tools" refer to the algorithms and processes that evaluate the generated question and answer pairs in terms of reliability and accuracy.

[0423] "Marketplace" means an online platform for listing rated question and answer pairs for viewing and purchasing by other users.

[0424] "Payment processing means" refers to the functionality and system for executing the payment required when a user purchases a question and answer pair selected by the user.

[0425] "Downloading means" refers to a function that allows a user to download the question and answer pairs they have purchased to their own terminal.

[0426] The present invention is a system that allows users to post questions and provides answers to those questions using an artificial intelligence module. Furthermore, it utilizes an emotion engine to recognize the user's emotions and provide answers accordingly. A specific embodiment of this system is described below.

[0427] System Configuration

[0428] 1. User registration and login:

[0429] When a user first accesses the system, they register an account using their email address and password. The captured information is sent to the server and stored in a database. Once registration is complete, a confirmation email is sent and the user clicks on the link to activate their account. The user then logs in to the system using their email address and password.

[0430] 2. Posting questions and recognizing emotions:

[0431] After logging in, the user accesses the question posting interface. The user enters the question in the text box, and the emotion engine recognizes the emotion from the user's facial expression and typing speed. This emotion data is sent to the server.

[0432] 3. Sending questions and emotion data:

[0433] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the AI ​​module, which then adjusts the tone and content of the response based on the emotion data.

[0434] 4. Generate and evaluate question and answer pairs:

[0435] The server receives answers generated by the AI ​​module, which are tailored to the appropriate tone and content based on emotional data. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database and listed on the marketplace.

[0436] 5. View and purchase Q&A pairs:

[0437] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the displayed pair list accordingly. When the user finds a pair that interests them, they select it, add it to their cart, and then check out. The device then sends the purchase information to the server, which then processes the payment.

[0438] 6. Post-purchase use:

[0439] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[0440] Hardware and software used

[0441] Hardware:

[0442] The server that runs this system and the devices used by users (smartphones, tablets, PCs, etc.).

[0443] software:

[0444] Python: The main programming language.

[0445] Flask: A web framework.

[0446] requests: Used to call external APIs.

[0447] smtplib: Simple SMTP email sending.

[0448] Specific examples

[0449] When a user posts a question on their smartphone, such as "How do I remove duplicates from a list using Python?", the emotion engine recognizes the user's state of tension, and the server sends this data to the AI ​​module. The AI ​​module generates an answer, "Use list(set(my_list))," and includes an encouraging message, "You can do it easily!" This answer is then listed on the marketplace, and becomes useful when other users have the same question.

[0450] Example prompt for a generative AI model:

[0451] "The questioner seems nervous. Can you gently explain how to remove duplicates from a list in Python?"

[0452] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0453] Step 1:

[0454] A user accesses the system and registers an account. The inputs provided by the user in this step are an email address and a password. The terminal sends this information to the server, which stores it in a database. The server then sends a confirmation email to the user. When the user clicks on the link in the confirmation email, the account is activated.

[0455] Step 2:

[0456] A user logs in to the system using an email address and password. At this time, the user enters the email address and password. The terminal sends this information to the server, which checks it against the registered information in the database. If the check is successful, the server returns a login success message to the terminal.

[0457] Step 3:

[0458] After logging in, the user accesses the question posting interface. The user enters a question in the input box. The device acquires the user's input data, and at the same time, the emotion engine recognizes the user's emotion from their facial expression data and input speed. This emotion data is sent to the server along with the user's input. The input is the question text and emotion data, and the output is request data that includes these.

[0459] Step 4:

[0460] The server sends question data and emotion data to the AI ​​module's API endpoint. Here, the input is the question data and emotion data, and the output is the answer generated by the AI ​​module. The server receives this data, and the tone and content of the answer are appropriately adjusted based on the emotion data.

[0461] Step 5:

[0462] The server evaluates the generated question and answer pairs using an algorithm. The input is the question and answer pair, and the output is the evaluation result. Question and answer pairs that have been confirmed to be reliable are stored in a database.

[0463] Step 6:

[0464] The server lists the question and answer pairs that pass the evaluation on the marketplace. The input of this step is the question and answer pairs that pass the evaluation, and the output is the data listed on the marketplace. Users can view these listings through the interface.

[0465] Step 7:

[0466] The user browses the question and answer pairs listed in the marketplace and selects the pair they are interested in. The question and answer pair selected by the user is added to the cart. The terminal sends this information to the server. The input is the selected question and answer pair, and the output is the data added to the cart.

[0467] Step 8:

[0468] The payment process is performed to purchase the pair selected by the user. The terminal inputs payment information and sends it to the server. The server processes the transaction and sends a purchase confirmation message to the user. The input is payment information and the output is the purchase confirmation message.

[0469] Step 9:

[0470] The user downloads the question and answer pairs from the provided link after purchase. The server receives the download request and sends the purchased pairs to the user's device. The input is the download request, and the output is the downloaded question and answer pairs.

[0471] Through these steps, the system provides personalized answers that correspond to the user's emotions, enabling the efficient acquisition of reliable information.

[0472] 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.

[0473] 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.

[0474] 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.

[0475] [Second embodiment]

[0476] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0477] 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.

[0478] 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).

[0479] 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.

[0480] 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.

[0481] 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).

[0482] 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.

[0483] 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.

[0484] 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.

[0485] 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.

[0486] 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.

[0487] 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."

[0488] This invention is a system that uses an artificial intelligence module to generate answers to questions entered by users, and lists the question-answer pairs on a marketplace after evaluating their reliability, allowing users to purchase them. A specific embodiment of this system will be described below.

[0489] 1. User Registration and Login

[0490] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link contained in the email to activate the account. The user then enters their email address and password to log in to the system.

[0491] 2. Post and submit your question

[0492] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[0493] 3. Evaluate and save question and answer pairs

[0494] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[0495] 4. View and purchase Q&A pairs

[0496] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[0497] 5. Use after purchase

[0498] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0499] Specific examples

[0500] As a specific example, when user A posts a question, "How do I remove duplicates in a list using Python?", the server sends this question to an artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, user B selects this question and answer pair for purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[0501] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[0502] The processing flow will be explained below.

[0503] Program processing steps

[0504] User Registration and Login

[0505] Step 1:

[0506] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[0507] Step 2:

[0508] The user enters their email address and password into the registration form and clicks the "Submit" button.

[0509] Step 3:

[0510] The device sends the entered email address and password to the server.

[0511] Step 4:

[0512] The server stores the received email address and password in a database and generates a confirmation email.

[0513] Step 5:

[0514] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[0515] Step 6:

[0516] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[0517] Step 7:

[0518] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[0519] Posting and Submitting Questions

[0520] Step 1:

[0521] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[0522] Step 2:

[0523] The user enters the question in the text box and clicks the "Submit" button.

[0524] Step 3:

[0525] The terminal transmits the query data to the server.

[0526] Step 4:

[0527] The server sends the received question to the API endpoint of the artificial intelligence module.

[0528] Rate and save question and answer pairs

[0529] Step 1:

[0530] The server receives the generated answers from the artificial intelligence module.

[0531] Step 2:

[0532] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[0533] Step 3:

[0534] Question and answer pairs that pass the evaluation are stored in a database.

[0535] Step 4:

[0536] The server lists the saved question and answer pairs in a marketplace.

[0537] Browse and purchase Q&A pairs

[0538] Step 1:

[0539] A user visits the marketplace and browses the listed question and answer pairs.

[0540] Step 2:

[0541] Users select the question and answer pairs that interest them and click "Add to Cart."

[0542] Step 3:

[0543] The user confirms the selected pair on the cart screen and clicks "Proceed to checkout."

[0544] Step 4:

[0545] The terminal transmits the purchase information to the server.

[0546] Step 5:

[0547] The server sends a request to the payment gateway API to process the payment.

[0548] Step 6:

[0549] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[0550] Use after purchase

[0551] Step 1:

[0552] The user clicks on the download link in the purchase confirmation email to go to the download page.

[0553] Step 2:

[0554] The user clicks the "Download" button to download the purchased question and answer pair.

[0555] Step 3:

[0556] The server receives the download request and sends the purchased pair to the user's device.

[0557] This allows the user to efficiently obtain highly reliable information.

[0558] Example 1

[0559] 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."

[0560] Conventional question-answering systems have difficulty providing reliable answers to questions posted by users, and lack a mechanism for efficiently managing and selling those questions and answers. As a result, users may make decisions based on unreliable information, and information transactions are not carried out smoothly.

[0561] 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.

[0562] In this invention, the server includes means for providing an interface for users to enter questions, means for transmitting the entered questions to a data processing device, means for receiving answers generated by the data processing device, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a storage device and listing them on a marketplace, means for providing an interface for browsing and selecting from the listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to users, means for checking the reliability and accuracy using multiple algorithms, and means for providing links for downloading the question and answer pairs purchased by users, thereby enabling users to efficiently obtain reliable information and make accurate decisions based on that information.

[0563] "User" refers to a person who uses this system, and is an entity that posts questions and purchases answers.

[0564] "Interface" refers to the screens and tools that allow users to enter questions and interact with the system.

[0565] "Data processing device" refers to a device or system that contains an artificial intelligence module for receiving user-submitted questions and generating answers.

[0566] "Storage device" refers to a database or storage for storing question and answer pairs that have passed evaluation.

[0567] "Marketplace" refers to an online platform where saved question and answer pairs are listed and available for users to browse and purchase.

[0568] "Algorithm" refers to the set of computational procedures or routines used to assess the reliability and accuracy of the responses received.

[0569] "Payment processing means" refers to the mechanism or method for making payments when a user purchases a question and answer pair.

[0570] "Link" means a URL or button containing instructions for a User to download the question and answer pair they purchased.

[0571] MODE FOR CARRYING OUT THE INVENTION

[0572] This invention is a system that uses a generative AI model to generate answers to questions entered by users, evaluates the question-answer pairs to check their reliability, and then lists them on a marketplace where users can purchase them.

[0573] Hardware and Software Use

[0574] Terminal: A device used by a user to access the system, including PCs, smartphones, tablets, etc.

[0575] Server: A central processing unit for processing, storing, rating, and operating the marketplace.

[0576] Storage device: Refers to databases and cloud storage, and stores various data within the system.

[0577] Generative AI models: Generate answers to questions using natural language processing models such as GPT-3.

[0578] Specific processing of the system

[0579] 1. User Account Registration and Login

[0580] A user accesses the system, enters an email address and password, and registers an account, which sends the user information to the server and stores it in a database.

[0581] After registration, the server will send a confirmation email to the user, and the user will click on the confirmation link to activate the account. After that, the user will enter their email address and password on the login screen to log in to the system.

[0582] 2. Post and submit your question

[0583] After logging in, users access the question submission screen, enter their question, and click the send button, which causes the device to send the question data to the server.

[0584] The server sends the received question to a generative AI model, which then generates an appropriate answer to the question and sends it back to the server.

[0585] 3. Evaluate and save question and answer pairs

[0586] The server evaluates the answers received from the generative AI model, using multiple algorithms to check for reliability and accuracy.

[0587] Question and answer pairs whose authenticity has been confirmed are stored in a storage device and listed on the marketplace.

[0588] 4. View and purchase Q&A pairs

[0589] A user visits the marketplace and browses the listed question and answer pairs.

[0590] Users select the pair they are interested in, add it to their cart, and then check out. The device sends the purchase information to the server, which processes the payment. Once the process is complete, the purchase history is saved in a database.

[0591] 5. Use after purchase

[0592] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0593] Specific examples

[0594] As a specific example, when User A posts a question, "How do I remove duplicates from a list in Python?", the server sends this question to a generative AI model. The model generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, User B purchases this question and answer pair on the marketplace and completes the payment process. User B can download and use the purchased pair.

[0595] Prompt Sentence Examples

[0596] Question posting prompt:

[0597] "How to remove duplicates from a list in Python?"

[0598] Prompt for the generative AI model:

[0599] Question: How to remove duplicates from a list in Python?

[0600] answer:

[0601] This system allows users to efficiently obtain highly reliable information and make accurate decisions based on that information.

[0602] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0603] Step 1: User Registration

[0604] A user accesses the system, enters an email address and password, and registers an account. This operation provides input information (email address, password).

[0605] The terminal transmits the input information to the server.

[0606] The server stores the received information in a database and returns a success message.

[0607] The server will send a confirmation email to the user and they will need to click on the link in the email to activate their account.

[0608] Step 2: Log in

[0609] The user enters their email address and password to access the login screen. The input information (email address, password) is obtained.

[0610] The terminal transmits this login information to the server.

[0611] The server refers to the database to perform authentication, and if successful, generates and sends an authentication token.

[0612] The user receives an authentication token and the login is complete.

[0613] Step 3: Post a question

[0614] The user accesses the question posting screen and enters the question in the text box. The input information (question) is obtained.

[0615] The user clicks the send button, and the terminal transmits the question data to the server.

[0616] The server sends the question data to the generative AI model.

[0617] Step 4: Generate an answer

[0618] The generative AI model analyzes the received question data and generates an appropriate answer. This operation produces output data (answers) based on input data (questions).

[0619] The generative AI model sends the generated answer back to the server.

[0620] Step 5: Evaluate question-answer pairs

[0621] The server applies the answers received from the generative AI model to an evaluation algorithm, which produces output data (evaluation results) based on the input data (question-answer pairs).

[0622] The server uses multiple algorithms to verify authenticity and accuracy.

[0623] Step 6: Save the question and answer pair

[0624] The server saves the verified question-answer pairs in a storage device. The input of this operation is the evaluation result and the question-answer pair, and the output is a success message.

[0625] The server lists the saved question and answer pairs in a marketplace.

[0626] Step 7: Browse the Marketplace

[0627] A user accesses the marketplace to view the listed question and answer pairs. This action displays the listed question and answer pairs.

[0628] The user selects pairs that interest them and adds them to their cart.

[0629] Step 8: Checkout

[0630] The user then completes the purchase process for the question and answer pair added to the cart and enters payment information. The input for this operation is payment information and purchase information, and the output is a purchase confirmation message.

[0631] The terminal transmits the purchase information to the server.

[0632] The server processes the payment and stores the purchase history in a database.

[0633] Step 9: Download

[0634] The user receives a download link from their purchase history and clicks on the link to download the question and answer pairs.

[0635] The server receives the download request and sends the data to the user. The input of this operation is the download request, and the output is the question-answer pair data.

[0636] (Application example 1)

[0637] 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."

[0638] In today's information society, users need to quickly obtain reliable information. However, the vast amount of information on the Internet, and much of it lacks reliability and accuracy, presents a challenge for users, making it difficult to accurately obtain the information they need. In addition, there are cases where the downloaded and used information is not smoothly completed.

[0639] 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.

[0640] In this invention, the server includes means for providing an interface for users to enter questions, means for sending the entered questions to an artificial intelligence module, means for receiving answers generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for viewing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to the user, means for listing and displaying the evaluated question and answer pairs based on their reliability and accuracy, and means for downloading the purchased question and answer pairs after the user has completed payment, thereby enabling users to quickly and efficiently obtain reliable information and smoothly download and use the purchased information.

[0641] A "user" is an individual or entity that uses the system to enter questions and obtain answers.

[0642] A "question interface" is a means of the user interface through which a question is entered by a user.

[0643] An "artificial intelligence module" is a means containing artificial intelligence algorithms that generate appropriate answers based on questions submitted by users.

[0644] The "receiving means" is a means by which the server receives the answer generated by the artificial intelligence module.

[0645] An "evaluation means" is a means that includes an algorithm or process that evaluates received question and answer pairs and checks their reliability.

[0646] The "database storage means" is a means for storing question and answer pairs that have passed the evaluation in a database.

[0647] A "marketplace listing means" is a means for listing a question and answer pair stored in the database on the marketplace.

[0648] A "viewing interface" is an interface means by which a user can view and select from the listed question and answer pairs.

[0649] The "payment processing means" is a means for processing a payment to purchase the selected question and answer pair.

[0650] The "provision means" is a means for providing the purchased question and answer pairs to the user.

[0651] A "listing means" is a means for listing and displaying rated question and answer pairs on the marketplace based on reliability and accuracy.

[0652] The "downloading means" is a means for allowing a user to download the question and answer pairs purchased by the user.

[0653] The present invention provides a system in which a user inputs a financial-related question into the system, which generates a reliable answer using an artificial intelligence module, lists the question-answer pair on a marketplace, and allows users to purchase it through electronic payment. An embodiment of the system will be described in detail below.

[0654] 1. User Registration and Login

[0655] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends the user a confirmation email, and the user clicks on the link contained in the email to activate their account. The user then enters their email address and password to log in to the system.

[0656] 2. Post and submit your question

[0657] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[0658] 3. Evaluate and save question and answer pairs

[0659] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[0660] 4. View and purchase Q&A pairs

[0661] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[0662] 5. Use after purchase

[0663] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0664] Hardware and software used

[0665] Database: MySQL

[0666] Frontend: React Native (smartphone app)

[0667] Backend: Node.js

[0668] Artificial Intelligence Module: Generative AI models (e.g., OpenAI GPT-4)

[0669] Specific examples

[0670] As a specific example, consider the case where User A posts the question, "What is the safest way to store Bitcoin?" This question is sent from the device to the server, which then passes it to the AI ​​module. The AI ​​module generates an answer, "Using a hardware wallet is the safest way," and sends it back to the server. The server evaluates this answer, and if it is found to be reliable, stores it in its database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace, completing the payment process. User B can then download and use the purchased pair.

[0671] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[0672] Prompt Sentence Examples

[0673] How to store Bitcoin safely?

[0674] What is the best investment strategy?

[0675] What is an index fund?

[0676] This system allows users to obtain accurate answers to their questions and make decisions based on reliable information.

[0677] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0678] Step 1:

[0679] A user accesses the system and registers an account. An email address and password are entered from the terminal and sent to the server. The server receives this information and stores it in a database. The server then sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The input is an email address and password, and the output is sending a confirmation email and updating the database.

[0680] Step 2:

[0681] A user logs into the system by entering an email address and password. The terminal sends this information to the server, which then queries the database for the relevant user information. If authentication is successful, the user transitions from the login screen to the home screen. The input is login information (email address and password), and the output is a screen transition based on the authentication result.

[0682] Step 3:

[0683] After logging in, the user accesses the question submission screen and enters the question in the text box. When the user clicks the send button, the device sends this question data to the server. The server then passes the question to the artificial intelligence module. The input to this process is the user's question entry, and the output is the server's transfer of the question data to the AI ​​module.

[0684] Step 4:

[0685] The AI ​​module generates an answer based on the received question. The generated answer is sent back to the server. The input is the user's question data, and the output is the answer data generated by the AI ​​module.

[0686] Step 5:

[0687] The server evaluates the answers received from the artificial intelligence module. The evaluation uses multiple algorithms (e.g., reliability check, accuracy check). Successfully evaluated question-answer pairs are stored in a database. The input is the answer data from the AI ​​module, and the output is the database storage of the evaluated data.

[0688] Step 6:

[0689] The server lists the question and answer pairs stored in the database on the marketplace, making them available for other users to view. The input is the rated data in the database, and the output is updates to the marketplace.

[0690] Step 7:

[0691] A user visits the marketplace, browses the listed question-answer pairs, selects one, and adds the selected question-answer pair to their cart. The input is the user's marketplace browsing behavior, and the output is cart updates.

[0692] Step 8:

[0693] To purchase the selected question and answer pair, the user enters payment information, which the terminal sends to the server. The server processes the payment and, if successful, stores the purchase information in a database. The input is the payment information, and the output is the payment processing result and an update to the database.

[0694] Step 9:

[0695] After payment is completed, the server provides the purchased question and answer pair to the user via a download link, and the user downloads it from the provided link. The input is a payment completion notification, and the output is the provision of a download link and the data download.

[0696] 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.

[0697] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0698] 1. User Registration and Login

[0699] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The user then enters their email address and password to log in to the system.

[0700] 2. Posting questions and recognizing emotions

[0701] After logging in, the user accesses the question posting screen. The user enters the question in the text box. At the same time, the emotion engine recognizes the user's emotions from their facial expressions and typing speed. The emotion engine then sends the recognized emotion data to the server.

[0702] 3. Sending questions and emotion data

[0703] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the artificial intelligence module.

[0704] 4. Generating and Evaluating Question-Answer Pairs

[0705] The server receives the answers generated by the AI ​​module. The AI ​​module can adjust the tone and content of the answers based on the emotional data. For example, if the user is feeling anxious, an encouraging answer may be provided. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database. The server then lists the stored pairs on the marketplace.

[0706] 5. View and purchase Q&A pairs

[0707] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion. When the user finds a pair that interests them, they select it, add it to their cart, and then complete the purchase. The device sends the purchase information to the server, which then processes the payment. Once the payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[0708] 6. Use after purchase

[0709] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[0710] Specific examples

[0711] As a specific example, if User A posts a question asking, "How do I remove duplicates from a list in Python?", the emotion engine recognizes User A's state of tension. The server sends this question data and emotion data to the AI ​​module, which provides the answer, "Use list(set(my_list))," and also includes an encouraging message, "You can do it easily!" The server evaluates this answer, and if it is confirmed to be reliable, it stores it in the database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[0712] In this way, the present invention realizes a system that can provide more personalized information by taking into account the user's emotions, thereby improving the user experience and enabling the efficient acquisition of reliable information.

[0713] The processing flow will be explained below.

[0714] Program processing steps

[0715] User Registration and Login

[0716] Step 1:

[0717] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[0718] Step 2:

[0719] The user enters their email address and password into the registration form and clicks the "Submit" button.

[0720] Step 3:

[0721] The device sends the entered email address and password to the server.

[0722] Step 4:

[0723] The server stores the received email address and password in a database and generates a confirmation email.

[0724] Step 5:

[0725] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[0726] Step 6:

[0727] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[0728] Step 7:

[0729] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[0730] Posting questions and recognizing emotions

[0731] Step 1:

[0732] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[0733] Step 2:

[0734] The user begins to type their question into the text box, and the emotion engine monitors their facial expressions and typing speed in real time.

[0735] Step 3:

[0736] The emotion engine analyzes the user's emotion data (e.g., anxiety, joy, tension, etc.) and sends it to the server.

[0737] Step 4:

[0738] After the user has finished entering the question, he or she clicks the "Submit" button.

[0739] Submitting questions and emotion data

[0740] Step 1:

[0741] The terminal transmits the question data and emotion data to the server.

[0742] Step 2:

[0743] The server sends the received question data and emotion data to the API endpoint of the artificial intelligence module.

[0744] Generating and evaluating question-answer pairs

[0745] Step 1:

[0746] The server receives the response generated by the AI ​​module, and adjusts the tone and content of the response generated by the AI ​​module based on the emotional data.

[0747] Step 2:

[0748] For example, if the user is feeling anxious, the AI ​​module can generate encouraging responses such as, "Use list(set(my_list)). Don't worry, this is easy!"

[0749] Step 3:

[0750] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[0751] Step 4:

[0752] Question and answer pairs that pass the evaluation are stored in a database.

[0753] Step 5:

[0754] The server lists the saved question and answer pairs in a marketplace.

[0755] Browse and purchase Q&A pairs

[0756] Step 1:

[0757] A user visits the marketplace and browses the listed question and answer pairs.

[0758] Step 2:

[0759] The emotion engine then recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion.

[0760] Step 3:

[0761] When a user finds a question and answer pair that interests them, they select it, add it to their cart, and click the "Proceed to Checkout" button.

[0762] Step 4:

[0763] The terminal transmits the purchase information to the server.

[0764] Step 5:

[0765] The server sends a request to the payment gateway API to process the payment.

[0766] Step 6:

[0767] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[0768] Use after purchase

[0769] Step 1:

[0770] The user clicks on the download link in the purchase confirmation email to go to the download page.

[0771] Step 2:

[0772] The user clicks the "Download" button to download the purchased question and answer pair.

[0773] Step 3:

[0774] The server receives the download request and sends the purchased pair to the user's device.

[0775] The above processing steps allow users to efficiently obtain highly reliable information. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized information. This further improves the user experience and enables the provision of highly satisfying services.

[0776] Example 2

[0777] 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."

[0778] Modern information retrieval systems make it difficult for users to quickly and accurately obtain the information most relevant to them. Furthermore, they lack a mechanism for providing personalized answers that reflect the user's emotions and circumstances, resulting in a lack of improvement in the user experience. In particular, they are unable to generate answers with the appropriate tone and content for each question, making it difficult to increase user satisfaction.

[0779] 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.

[0780] In this invention, the server includes means for providing an interface for a user to enter a question, means for transmitting the entered question and the user's emotion data to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting the listed question and answer pairs, means for customizing the list of question and answer pairs to be displayed based on the user's emotion data, means for processing payments for purchasing the selected question and answer pairs, and means for providing the purchased question and answer pairs to the user. This enables the provision of personalized information according to the user's emotions and situation, improving the user experience and enabling the efficient acquisition of reliable information.

[0781] A "question" is text data that a user inputs to the system to request information.

[0782] An "interface" is a system component that provides a screen and input means for users to perform specific operations.

[0783] An "artificial intelligence module" is software that includes machine learning algorithms and databases to generate appropriate answers based on a user's questions.

[0784] "Emotion data" is data that expresses the user's emotional state, and is extracted from facial expressions, movements, input speed, etc. analyzed by the emotion engine.

[0785] An "emotion engine" is a hardware or software component for analyzing a user's emotional state and generating emotion data.

[0786] "Evaluation Algorithm" means a computational method used to verify the reliability and accuracy of answers generated by an artificial intelligence module.

[0787] A "marketplace" is an online platform where question and answer pairs that have passed evaluation are listed and can be viewed and purchased by users.

[0788] "Payment Processing Entity" means a system component for processing a user's payment information when purchasing a selected question and answer pair.

[0789] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0790] 1. Account Registration and Login

[0791] A user first accesses the system's web page and enters their email address and password in the account registration form. The terminal sends this information to the server, which stores the received information in a database. The server generates a confirmation email and sends it to the user's email address. The user clicks the link in the confirmation email to activate their account. The user then enters their email address and password to log in to the system.

[0792] 2. Posting questions and recognizing emotions

[0793] A user accesses a question submission page and enters a question in the text box. The device activates the emotion engine, which analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates the recognized emotion data and sends it to the device. The device then sends the question data and emotion data to the server.

[0794] 3. Generating and Evaluating Question-Answer Pairs

[0795] The server sends question data and emotion data to the AI ​​module's API endpoint. The AI ​​module generates an answer with the appropriate tone and content based on the user's question and emotion data. The server receives the generated answer and verifies its reliability and accuracy using a rating algorithm. The server stores question and answer pairs that pass the rating in a database and lists them on the marketplace.

[0796] 4. View and purchase Q&A pairs

[0797] The user accesses the marketplace page and browses the listed question and answer pairs. The device again activates the emotion engine to recognize the user's current emotion. The emotion engine uses the generated emotion data to customize the list of question and answer pairs to display. The user selects pairs that interest them, adds them to their cart, and completes the purchase. The device sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase information in its database and sends the user a purchase confirmation email.

[0798] 5. Use after purchase

[0799] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[0800] Specific examples

[0801] For example, user A posts a question such as "How do I remove duplicates from a list using Python?". User A enters the question, and the emotion engine recognizes user A's state of tension. The device sends the question data and emotion data to the server, which then sends them to the artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and simultaneously adds an encouraging message, "You can do it easily!" The server evaluates the reliability of this answer, and if it is confirmed, stores it in its database and lists it on the marketplace. Next, user B purchases this question and answer pair from the marketplace and completes the payment. User B can download and use the purchased pair.

[0802] Prompt Sentence Examples

[0803] A prompt sentence to input question data and emotion data to the generative AI model:

[0804] User Question: "How to remove duplicates from a list in Python?"

[0805] User emotion data: "Tension"

[0806] Tone of response: "Encouraging"

[0807] In this way, the present invention realizes a system that takes user emotions into consideration to provide more personalized information, improving the user experience and enabling efficient acquisition of reliable information.

[0808] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0809] Step 1:

[0810] The user accesses the system's web page and enters their email address and password in the account registration form.

[0811] Input: Email address, password

[0812] Output: User registration request

[0813] Operation: The device sends the entered information to the server, which stores it in a database and generates a confirmation email to send to the user.

[0814] Step 2:

[0815] The user clicks on the link in the confirmation email to activate the account.

[0816] Input: Confirmation email

[0817] Output: Account activation request

[0818] What it does: The server receives the link click and updates the database to activate the account.

[0819] Step 3:

[0820] To log in to the system, the user enters their email address and password.

[0821] Input: Email address, password

[0822] Output: Login request

[0823] Operation: The terminal sends login information to the server, which checks it against a database, authenticates it, and starts a session if authentication is successful.

[0824] Step 4:

[0825] The user accesses the question submission page and enters the question in the text box.

[0826] Input: Question

[0827] Output: Question data

[0828] Action: The device starts the emotion engine and analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates emotion data and sends it to the device.

[0829] Step 5:

[0830] The terminal transmits the question data and emotion data to the server.

[0831] Input: Question data, emotion data

[0832] Output: Request to send question and sentiment data

[0833] How it works: The server sends these data to the API endpoint of the artificial intelligence module.

[0834] Step 6:

[0835] The server receives the generated answers from the artificial intelligence module.

[0836] Input: Question data, emotion data

[0837] Output: The generated answer

[0838] How it works: The AI ​​module generates an answer based on the question and emotion data. The server receives this answer.

[0839] Step 7:

[0840] The server rates the trustworthiness of the answer.

[0841] Input: Generated Answer

[0842] Output: Evaluation results

[0843] How it works: The server uses a rating algorithm to verify the reliability and accuracy of the answer, and if it passes, stores it in a database.

[0844] Step 8:

[0845] The server lists question and answer pairs that pass the evaluation on the marketplace.

[0846] Input: Question and answer pairs that pass the evaluation

[0847] Output: Marketplace listing

[0848] Operation: The server publishes the listed data to the marketplace.

[0849] Step 9:

[0850] Users browse the question and answer pairs listed in the marketplace.

[0851] Input: Marketplace access

[0852] Output: A list of question and answer pairs

[0853] Action: The device will start the emotion engine again, recognize the user's current emotion, and customize the display list.

[0854] Step 10:

[0855] The user selects the question and answer pairs that interest them and then completes the purchase process.

[0856] Input: Selected question and answer pairs

[0857] Output: Purchase request

[0858] Operation: The terminal sends the purchase information to the server, which processes the payment. After the payment is completed, the purchase information is saved in the database.

[0859] Step 11:

[0860] The user downloads the purchased question and answer pairs.

[0861] Input: Download request

[0862] Output: Download question and answer pairs

[0863] Operation: The server receives the download request and sends the purchased pair to the user's device.

[0864] (Application example 2)

[0865] 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."

[0866] Conventional question-answering systems generate answers without considering the user's emotions, which can result in answers that do not match the user's emotional state. This leads to issues such as a poor user experience and limited usefulness of the information provided. Furthermore, there are insufficient evaluation methods to efficiently provide only reliable information, which can lead to variations in the quality of the information.

[0867] The identification process by the identification 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 providing an interface for a user to enter a question, means for sending the entered question to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for acquiring user emotion data, means for adjusting the tone and content of the generated answer based on the emotion data, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pair, and means for providing the purchased question and answer pair to the user. This makes it possible to provide personalized answers according to the user's emotions and efficiently obtain reliable information.

[0868] "User" refers to an individual or organization that uses this system to post questions and receive answers.

[0869] "Interface" refers to the means, including screens and features, used by a user to enter a question and to view and select from listed question and answer pairs.

[0870] "Artificial Intelligence Module" refers to algorithms and associated software for generating optimal answers to questions submitted by users.

[0871] "Emotion data" refers to information that indicates the user's emotional state (for example, tension, anxiety, joy, etc.).

[0872] An "emotion engine" refers to software and algorithms that analyze user input information, facial expressions, etc. to recognize emotional data.

[0873] "Means to adjust tone and content" refers to a feature that allows users to customize the tone and content of responses generated by the AI ​​module based on emotional data.

[0874] "Evaluation tools" refer to the algorithms and processes that evaluate the generated question and answer pairs in terms of reliability and accuracy.

[0875] "Marketplace" means an online platform for listing rated question and answer pairs for viewing and purchasing by other users.

[0876] "Payment processing means" refers to the functionality and system for executing the payment required when a user purchases a question and answer pair selected by the user.

[0877] "Downloading means" refers to a function that allows a user to download the question and answer pairs they have purchased to their own terminal.

[0878] The present invention is a system that allows users to post questions and provides answers to those questions using an artificial intelligence module. Furthermore, it utilizes an emotion engine to recognize the user's emotions and provide answers accordingly. A specific embodiment of this system is described below.

[0879] System Configuration

[0880] 1. User registration and login:

[0881] When a user first accesses the system, they register an account using their email address and password. The captured information is sent to the server and stored in a database. Once registration is complete, a confirmation email is sent and the user clicks on the link to activate their account. The user then logs in to the system using their email address and password.

[0882] 2. Posting questions and recognizing emotions:

[0883] After logging in, the user accesses the question posting interface. The user enters the question in the text box, and the emotion engine recognizes the emotion from the user's facial expression and typing speed. This emotion data is sent to the server.

[0884] 3. Sending questions and emotion data:

[0885] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the AI ​​module, which then adjusts the tone and content of the response based on the emotion data.

[0886] 4. Generate and evaluate question and answer pairs:

[0887] The server receives answers generated by the AI ​​module, which are tailored to the appropriate tone and content based on emotional data. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database and listed on the marketplace.

[0888] 5. View and purchase Q&A pairs:

[0889] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the displayed pair list accordingly. When the user finds a pair that interests them, they select it, add it to their cart, and then check out. The device then sends the purchase information to the server, which then processes the payment.

[0890] 6. Post-purchase use:

[0891] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[0892] Hardware and software used

[0893] Hardware:

[0894] The server that runs this system and the devices used by users (smartphones, tablets, PCs, etc.).

[0895] software:

[0896] Python: The main programming language.

[0897] Flask: A web framework.

[0898] requests: Used to call external APIs.

[0899] smtplib: Simple SMTP email sending.

[0900] Specific examples

[0901] When a user posts a question on their smartphone, such as "How do I remove duplicates from a list using Python?", the emotion engine recognizes the user's state of tension, and the server sends this data to the AI ​​module. The AI ​​module generates an answer, "Use list(set(my_list))," and includes an encouraging message, "You can do it easily!" This answer is then listed on the marketplace, and becomes useful when other users have the same question.

[0902] Example prompt for a generative AI model:

[0903] "The questioner seems nervous. Can you gently explain how to remove duplicates from a list in Python?"

[0904] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0905] Step 1:

[0906] A user accesses the system and registers an account. The inputs provided by the user in this step are an email address and a password. The terminal sends this information to the server, which stores it in a database. The server then sends a confirmation email to the user. When the user clicks on the link in the confirmation email, the account is activated.

[0907] Step 2:

[0908] A user logs in to the system using an email address and password. At this time, the user enters the email address and password. The terminal sends this information to the server, which checks it against the registered information in the database. If the check is successful, the server returns a login success message to the terminal.

[0909] Step 3:

[0910] After logging in, the user accesses the question posting interface. The user enters a question in the input box. The device acquires the user's input data, and at the same time, the emotion engine recognizes the user's emotion from their facial expression data and input speed. This emotion data is sent to the server along with the user's input. The input is the question text and emotion data, and the output is request data that includes these.

[0911] Step 4:

[0912] The server sends question data and emotion data to the AI ​​module's API endpoint. Here, the input is the question data and emotion data, and the output is the answer generated by the AI ​​module. The server receives this data, and the tone and content of the answer are appropriately adjusted based on the emotion data.

[0913] Step 5:

[0914] The server evaluates the generated question and answer pairs using an algorithm. The input is the question and answer pair, and the output is the evaluation result. Question and answer pairs that have been confirmed to be reliable are stored in a database.

[0915] Step 6:

[0916] The server lists the question and answer pairs that pass the evaluation on the marketplace. The input of this step is the question and answer pairs that pass the evaluation, and the output is the data listed on the marketplace. Users can view these listings through the interface.

[0917] Step 7:

[0918] The user browses the question and answer pairs listed in the marketplace and selects the pair they are interested in. The question and answer pair selected by the user is added to the cart. The terminal sends this information to the server. The input is the selected question and answer pair, and the output is the data added to the cart.

[0919] Step 8:

[0920] The payment process is performed to purchase the pair selected by the user. The terminal inputs payment information and sends it to the server. The server processes the transaction and sends a purchase confirmation message to the user. The input is payment information and the output is the purchase confirmation message.

[0921] Step 9:

[0922] The user downloads the question and answer pairs from the provided link after purchase. The server receives the download request and sends the purchased pairs to the user's device. The input is the download request, and the output is the downloaded question and answer pairs.

[0923] Through these steps, the system provides personalized answers that correspond to the user's emotions, enabling the efficient acquisition of reliable information.

[0924] 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.

[0925] 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.

[0926] 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.

[0927] [Third embodiment]

[0928] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0929] 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.

[0930] 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).

[0931] 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.

[0932] 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.

[0933] 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).

[0934] 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.

[0935] 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.

[0936] 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.

[0937] 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.

[0938] 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.

[0939] 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."

[0940] This invention is a system that uses an artificial intelligence module to generate answers to questions entered by users, and lists the question-answer pairs on a marketplace after evaluating their reliability, allowing users to purchase them. A specific embodiment of this system will be described below.

[0941] 1. User Registration and Login

[0942] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link contained in the email to activate the account. The user then enters their email address and password to log in to the system.

[0943] 2. Post and submit your question

[0944] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[0945] 3. Evaluate and save question and answer pairs

[0946] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[0947] 4. View and purchase Q&A pairs

[0948] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[0949] 5. Use after purchase

[0950] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[0951] Specific examples

[0952] As a specific example, when user A posts a question, "How do I remove duplicates in a list using Python?", the server sends this question to an artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, user B selects this question and answer pair for purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[0953] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[0954] The processing flow will be explained below.

[0955] Program processing steps

[0956] User Registration and Login

[0957] Step 1:

[0958] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[0959] Step 2:

[0960] The user enters their email address and password into the registration form and clicks the "Submit" button.

[0961] Step 3:

[0962] The device sends the entered email address and password to the server.

[0963] Step 4:

[0964] The server stores the received email address and password in a database and generates a confirmation email.

[0965] Step 5:

[0966] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[0967] Step 6:

[0968] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[0969] Step 7:

[0970] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[0971] Posting and Submitting Questions

[0972] Step 1:

[0973] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[0974] Step 2:

[0975] The user enters the question in the text box and clicks the "Submit" button.

[0976] Step 3:

[0977] The terminal transmits the query data to the server.

[0978] Step 4:

[0979] The server sends the received question to the API endpoint of the artificial intelligence module.

[0980] Rate and save question and answer pairs

[0981] Step 1:

[0982] The server receives the generated answers from the artificial intelligence module.

[0983] Step 2:

[0984] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[0985] Step 3:

[0986] Question and answer pairs that pass the evaluation are stored in a database.

[0987] Step 4:

[0988] The server lists the saved question and answer pairs in a marketplace.

[0989] Browse and purchase Q&A pairs

[0990] Step 1:

[0991] A user visits the marketplace and browses the listed question and answer pairs.

[0992] Step 2:

[0993] Users select the question and answer pairs that interest them and click "Add to Cart."

[0994] Step 3:

[0995] The user confirms the selected pair on the cart screen and clicks "Proceed to checkout."

[0996] Step 4:

[0997] The terminal transmits the purchase information to the server.

[0998] Step 5:

[0999] The server sends a request to the payment gateway API to process the payment.

[1000] Step 6:

[1001] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[1002] Use after purchase

[1003] Step 1:

[1004] The user clicks on the download link in the purchase confirmation email to go to the download page.

[1005] Step 2:

[1006] The user clicks the "Download" button to download the purchased question and answer pair.

[1007] Step 3:

[1008] The server receives the download request and sends the purchased pair to the user's device.

[1009] This allows the user to efficiently obtain highly reliable information.

[1010] Example 1

[1011] 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."

[1012] Conventional question-answering systems have difficulty providing reliable answers to questions posted by users, and lack a mechanism for efficiently managing and selling those questions and answers. As a result, users may make decisions based on unreliable information, and information transactions are not carried out smoothly.

[1013] 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.

[1014] In this invention, the server includes means for providing an interface for users to enter questions, means for transmitting the entered questions to a data processing device, means for receiving answers generated by the data processing device, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a storage device and listing them on a marketplace, means for providing an interface for browsing and selecting from the listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to users, means for checking the reliability and accuracy using multiple algorithms, and means for providing links for downloading the question and answer pairs purchased by users, thereby enabling users to efficiently obtain reliable information and make accurate decisions based on that information.

[1015] "User" refers to a person who uses this system, and is an entity that posts questions and purchases answers.

[1016] "Interface" refers to the screens and tools that allow users to enter questions and interact with the system.

[1017] "Data processing device" refers to a device or system that contains an artificial intelligence module for receiving user-submitted questions and generating answers.

[1018] "Storage device" refers to a database or storage for storing question and answer pairs that have passed evaluation.

[1019] "Marketplace" refers to an online platform where saved question and answer pairs are listed and available for users to browse and purchase.

[1020] "Algorithm" refers to the set of computational procedures or routines used to assess the reliability and accuracy of the responses received.

[1021] "Payment processing means" refers to the mechanism or method for making payments when a user purchases a question and answer pair.

[1022] "Link" means a URL or button containing instructions for a User to download the question and answer pair they purchased.

[1023] MODE FOR CARRYING OUT THE INVENTION

[1024] This invention is a system that uses a generative AI model to generate answers to questions entered by users, evaluates the question-answer pairs to check their reliability, and then lists them on a marketplace where users can purchase them.

[1025] Hardware and Software Use

[1026] Terminal: A device used by a user to access the system, including PCs, smartphones, tablets, etc.

[1027] Server: A central processing unit for processing, storing, rating, and operating the marketplace.

[1028] Storage device: Refers to databases and cloud storage, and stores various data within the system.

[1029] Generative AI models: Generate answers to questions using natural language processing models such as GPT-3.

[1030] Specific processing of the system

[1031] 1. User Account Registration and Login

[1032] A user accesses the system, enters an email address and password, and registers an account, which sends the user information to the server and stores it in a database.

[1033] After registration, the server will send a confirmation email to the user, and the user will click on the confirmation link to activate the account. After that, the user will enter their email address and password on the login screen to log in to the system.

[1034] 2. Post and submit your question

[1035] After logging in, users access the question submission screen, enter their question, and click the send button, which causes the device to send the question data to the server.

[1036] The server sends the received question to a generative AI model, which then generates an appropriate answer to the question and sends it back to the server.

[1037] 3. Evaluate and save question and answer pairs

[1038] The server evaluates the answers received from the generative AI model, using multiple algorithms to check for reliability and accuracy.

[1039] Question and answer pairs whose authenticity has been confirmed are stored in a storage device and listed on the marketplace.

[1040] 4. View and purchase Q&A pairs

[1041] A user visits the marketplace and browses the listed question and answer pairs.

[1042] Users select the pair they are interested in, add it to their cart, and then check out. The device sends the purchase information to the server, which processes the payment. Once the process is complete, the purchase history is saved in a database.

[1043] 5. Use after purchase

[1044] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[1045] Specific examples

[1046] As a specific example, when User A posts a question, "How do I remove duplicates from a list in Python?", the server sends this question to a generative AI model. The model generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, User B purchases this question and answer pair on the marketplace and completes the payment process. User B can download and use the purchased pair.

[1047] Prompt Sentence Examples

[1048] Question posting prompt:

[1049] "How to remove duplicates from a list in Python?"

[1050] Prompt for the generative AI model:

[1051] Question: How to remove duplicates from a list in Python?

[1052] answer:

[1053] This system allows users to efficiently obtain highly reliable information and make accurate decisions based on that information.

[1054] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1055] Step 1: User Registration

[1056] A user accesses the system, enters an email address and password, and registers an account. This operation provides input information (email address, password).

[1057] The terminal transmits the input information to the server.

[1058] The server stores the received information in a database and returns a success message.

[1059] The server will send a confirmation email to the user and they will need to click on the link in the email to activate their account.

[1060] Step 2: Log in

[1061] The user enters their email address and password to access the login screen. The input information (email address, password) is obtained.

[1062] The terminal transmits this login information to the server.

[1063] The server refers to the database to perform authentication, and if successful, generates and sends an authentication token.

[1064] The user receives an authentication token and the login is complete.

[1065] Step 3: Post a question

[1066] The user accesses the question posting screen and enters the question in the text box. The input information (question) is obtained.

[1067] The user clicks the send button, and the terminal transmits the question data to the server.

[1068] The server sends the question data to the generative AI model.

[1069] Step 4: Generate an answer

[1070] The generative AI model analyzes the received question data and generates an appropriate answer. This operation produces output data (answers) based on input data (questions).

[1071] The generative AI model sends the generated answer back to the server.

[1072] Step 5: Evaluate question-answer pairs

[1073] The server applies the answers received from the generative AI model to an evaluation algorithm, which produces output data (evaluation results) based on the input data (question-answer pairs).

[1074] The server uses multiple algorithms to verify authenticity and accuracy.

[1075] Step 6: Save the question and answer pair

[1076] The server saves the verified question-answer pairs in a storage device. The input of this operation is the evaluation result and the question-answer pair, and the output is a success message.

[1077] The server lists the saved question and answer pairs in a marketplace.

[1078] Step 7: Browse the Marketplace

[1079] A user accesses the marketplace to view the listed question and answer pairs. This action displays the listed question and answer pairs.

[1080] The user selects pairs that interest them and adds them to their cart.

[1081] Step 8: Checkout

[1082] The user then completes the purchase process for the question and answer pair added to the cart and enters payment information. The input for this operation is payment information and purchase information, and the output is a purchase confirmation message.

[1083] The terminal transmits the purchase information to the server.

[1084] The server processes the payment and stores the purchase history in a database.

[1085] Step 9: Download

[1086] The user receives a download link from their purchase history and clicks on the link to download the question and answer pairs.

[1087] The server receives the download request and sends the data to the user. The input of this operation is the download request, and the output is the question-answer pair data.

[1088] (Application example 1)

[1089] 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."

[1090] In today's information society, users need to quickly obtain reliable information. However, the vast amount of information on the Internet, and much of it lacks reliability and accuracy, presents a challenge for users, making it difficult to accurately obtain the information they need. In addition, there are cases where the downloaded and used information is not smoothly completed.

[1091] 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.

[1092] In this invention, the server includes means for providing an interface for users to enter questions, means for sending the entered questions to an artificial intelligence module, means for receiving answers generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for viewing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to the user, means for listing and displaying the evaluated question and answer pairs based on their reliability and accuracy, and means for downloading the purchased question and answer pairs after the user has completed payment, thereby enabling users to quickly and efficiently obtain reliable information and smoothly download and use the purchased information.

[1093] A "user" is an individual or entity that uses the system to enter questions and obtain answers.

[1094] A "question interface" is a means of the user interface through which a question is entered by a user.

[1095] An "artificial intelligence module" is a means containing artificial intelligence algorithms that generate appropriate answers based on questions submitted by users.

[1096] The "receiving means" is a means by which the server receives the answer generated by the artificial intelligence module.

[1097] An "evaluation means" is a means that includes an algorithm or process that evaluates received question and answer pairs and checks their reliability.

[1098] The "database storage means" is a means for storing question and answer pairs that have passed the evaluation in a database.

[1099] A "marketplace listing means" is a means for listing a question and answer pair stored in the database on the marketplace.

[1100] A "viewing interface" is an interface means by which a user can view and select from the listed question and answer pairs.

[1101] The "payment processing means" is a means for processing a payment to purchase the selected question and answer pair.

[1102] The "provision means" is a means for providing the purchased question and answer pairs to the user.

[1103] A "listing means" is a means for listing and displaying rated question and answer pairs on the marketplace based on reliability and accuracy.

[1104] The "downloading means" is a means for allowing a user to download the question and answer pairs purchased by the user.

[1105] The present invention provides a system in which a user inputs a financial-related question into the system, which generates a reliable answer using an artificial intelligence module, lists the question-answer pair on a marketplace, and allows users to purchase it through electronic payment. An embodiment of the system will be described in detail below.

[1106] 1. User Registration and Login

[1107] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends the user a confirmation email, and the user clicks on the link contained in the email to activate their account. The user then enters their email address and password to log in to the system.

[1108] 2. Post and submit your question

[1109] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[1110] 3. Evaluate and save question and answer pairs

[1111] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[1112] 4. View and purchase Q&A pairs

[1113] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[1114] 5. Use after purchase

[1115] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[1116] Hardware and software used

[1117] Database: MySQL

[1118] Frontend: React Native (smartphone app)

[1119] Backend: Node.js

[1120] Artificial Intelligence Module: Generative AI models (e.g., OpenAI GPT-4)

[1121] Specific examples

[1122] As a specific example, consider the case where User A posts the question, "What is the safest way to store Bitcoin?" This question is sent from the device to the server, which then passes it to the AI ​​module. The AI ​​module generates an answer, "Using a hardware wallet is the safest way," and sends it back to the server. The server evaluates this answer, and if it is found to be reliable, stores it in its database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace, completing the payment process. User B can then download and use the purchased pair.

[1123] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[1124] Prompt Sentence Examples

[1125] How to store Bitcoin safely?

[1126] What is the best investment strategy?

[1127] What is an index fund?

[1128] This system allows users to obtain accurate answers to their questions and make decisions based on reliable information.

[1129] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1130] Step 1:

[1131] A user accesses the system and registers an account. An email address and password are entered from the terminal and sent to the server. The server receives this information and stores it in a database. The server then sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The input is an email address and password, and the output is sending a confirmation email and updating the database.

[1132] Step 2:

[1133] A user logs into the system by entering an email address and password. The terminal sends this information to the server, which then queries the database for the relevant user information. If authentication is successful, the user transitions from the login screen to the home screen. The input is login information (email address and password), and the output is a screen transition based on the authentication result.

[1134] Step 3:

[1135] After logging in, the user accesses the question submission screen and enters the question in the text box. When the user clicks the send button, the device sends this question data to the server. The server then passes the question to the artificial intelligence module. The input to this process is the user's question entry, and the output is the server's transfer of the question data to the AI ​​module.

[1136] Step 4:

[1137] The AI ​​module generates an answer based on the received question. The generated answer is sent back to the server. The input is the user's question data, and the output is the answer data generated by the AI ​​module.

[1138] Step 5:

[1139] The server evaluates the answers received from the artificial intelligence module. The evaluation uses multiple algorithms (e.g., reliability check, accuracy check). Successfully evaluated question-answer pairs are stored in a database. The input is the answer data from the AI ​​module, and the output is the database storage of the evaluated data.

[1140] Step 6:

[1141] The server lists the question and answer pairs stored in the database on the marketplace, making them available for other users to view. The input is the rated data in the database, and the output is updates to the marketplace.

[1142] Step 7:

[1143] A user visits the marketplace, browses the listed question-answer pairs, selects one, and adds the selected question-answer pair to their cart. The input is the user's marketplace browsing behavior, and the output is cart updates.

[1144] Step 8:

[1145] To purchase the selected question and answer pair, the user enters payment information, which the terminal sends to the server. The server processes the payment and, if successful, stores the purchase information in a database. The input is the payment information, and the output is the payment processing result and an update to the database.

[1146] Step 9:

[1147] After payment is completed, the server provides the purchased question and answer pair to the user via a download link, and the user downloads it from the provided link. The input is a payment completion notification, and the output is the provision of a download link and the data download.

[1148] 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.

[1149] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1150] 1. User Registration and Login

[1151] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The user then enters their email address and password to log in to the system.

[1152] 2. Posting questions and recognizing emotions

[1153] After logging in, the user accesses the question posting screen. The user enters the question in the text box. At the same time, the emotion engine recognizes the user's emotions from their facial expressions and typing speed. The emotion engine then sends the recognized emotion data to the server.

[1154] 3. Sending questions and emotion data

[1155] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the artificial intelligence module.

[1156] 4. Generating and Evaluating Question-Answer Pairs

[1157] The server receives the answers generated by the AI ​​module. The AI ​​module can adjust the tone and content of the answers based on the emotional data. For example, if the user is feeling anxious, an encouraging answer may be provided. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database. The server then lists the stored pairs on the marketplace.

[1158] 5. View and purchase Q&A pairs

[1159] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion. When the user finds a pair that interests them, they select it, add it to their cart, and then complete the purchase. The device sends the purchase information to the server, which then processes the payment. Once the payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[1160] 6. Use after purchase

[1161] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[1162] Specific examples

[1163] As a specific example, if User A posts a question asking, "How do I remove duplicates from a list in Python?", the emotion engine recognizes User A's state of tension. The server sends this question data and emotion data to the AI ​​module, which provides the answer, "Use list(set(my_list))," and also includes an encouraging message, "You can do it easily!" The server evaluates this answer, and if it is confirmed to be reliable, it stores it in the database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[1164] In this way, the present invention realizes a system that can provide more personalized information by taking into account the user's emotions, thereby improving the user experience and enabling the efficient acquisition of reliable information.

[1165] The processing flow will be explained below.

[1166] Program processing steps

[1167] User Registration and Login

[1168] Step 1:

[1169] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[1170] Step 2:

[1171] The user enters their email address and password into the registration form and clicks the "Submit" button.

[1172] Step 3:

[1173] The device sends the entered email address and password to the server.

[1174] Step 4:

[1175] The server stores the received email address and password in a database and generates a confirmation email.

[1176] Step 5:

[1177] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[1178] Step 6:

[1179] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[1180] Step 7:

[1181] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[1182] Posting questions and recognizing emotions

[1183] Step 1:

[1184] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[1185] Step 2:

[1186] The user begins to type their question into the text box, and the emotion engine monitors their facial expressions and typing speed in real time.

[1187] Step 3:

[1188] The emotion engine analyzes the user's emotion data (e.g., anxiety, joy, tension, etc.) and sends it to the server.

[1189] Step 4:

[1190] After the user has finished entering the question, he or she clicks the "Submit" button.

[1191] Submitting questions and emotion data

[1192] Step 1:

[1193] The terminal transmits the question data and emotion data to the server.

[1194] Step 2:

[1195] The server sends the received question data and emotion data to the API endpoint of the artificial intelligence module.

[1196] Generating and evaluating question-answer pairs

[1197] Step 1:

[1198] The server receives the response generated by the AI ​​module, and adjusts the tone and content of the response generated by the AI ​​module based on the emotional data.

[1199] Step 2:

[1200] For example, if the user is feeling anxious, the AI ​​module can generate encouraging responses such as, "Use list(set(my_list)). Don't worry, this is easy!"

[1201] Step 3:

[1202] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[1203] Step 4:

[1204] Question and answer pairs that pass the evaluation are stored in a database.

[1205] Step 5:

[1206] The server lists the saved question and answer pairs in a marketplace.

[1207] Browse and purchase Q&A pairs

[1208] Step 1:

[1209] A user visits the marketplace and browses the listed question and answer pairs.

[1210] Step 2:

[1211] The emotion engine then recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion.

[1212] Step 3:

[1213] When a user finds a question and answer pair that interests them, they select it, add it to their cart, and click the "Proceed to Checkout" button.

[1214] Step 4:

[1215] The terminal transmits the purchase information to the server.

[1216] Step 5:

[1217] The server sends a request to the payment gateway API to process the payment.

[1218] Step 6:

[1219] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[1220] Use after purchase

[1221] Step 1:

[1222] The user clicks on the download link in the purchase confirmation email to go to the download page.

[1223] Step 2:

[1224] The user clicks the "Download" button to download the purchased question and answer pair.

[1225] Step 3:

[1226] The server receives the download request and sends the purchased pair to the user's device.

[1227] The above processing steps allow users to efficiently obtain highly reliable information. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized information. This further improves the user experience and enables the provision of highly satisfying services.

[1228] Example 2

[1229] 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."

[1230] Modern information retrieval systems make it difficult for users to quickly and accurately obtain the information most relevant to them. Furthermore, they lack a mechanism for providing personalized answers that reflect the user's emotions and circumstances, resulting in a lack of improvement in the user experience. In particular, they are unable to generate answers with the appropriate tone and content for each question, making it difficult to increase user satisfaction.

[1231] 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.

[1232] In this invention, the server includes means for providing an interface for a user to enter a question, means for transmitting the entered question and the user's emotion data to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting the listed question and answer pairs, means for customizing the list of question and answer pairs to be displayed based on the user's emotion data, means for processing payments for purchasing the selected question and answer pairs, and means for providing the purchased question and answer pairs to the user. This enables the provision of personalized information according to the user's emotions and situation, improving the user experience and enabling the efficient acquisition of reliable information.

[1233] A "question" is text data that a user inputs to the system to request information.

[1234] An "interface" is a system component that provides a screen and input means for users to perform specific operations.

[1235] An "artificial intelligence module" is software that includes machine learning algorithms and databases to generate appropriate answers based on a user's questions.

[1236] "Emotion data" is data that expresses the user's emotional state, and is extracted from facial expressions, movements, input speed, etc. analyzed by the emotion engine.

[1237] An "emotion engine" is a hardware or software component for analyzing a user's emotional state and generating emotion data.

[1238] "Evaluation Algorithm" means a computational method used to verify the reliability and accuracy of answers generated by an artificial intelligence module.

[1239] A "marketplace" is an online platform where question and answer pairs that have passed evaluation are listed and can be viewed and purchased by users.

[1240] "Payment Processing Entity" means a system component for processing a user's payment information when purchasing a selected question and answer pair.

[1241] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1242] 1. Account Registration and Login

[1243] A user first accesses the system's web page and enters their email address and password in the account registration form. The terminal sends this information to the server, which stores the received information in a database. The server generates a confirmation email and sends it to the user's email address. The user clicks the link in the confirmation email to activate their account. The user then enters their email address and password to log in to the system.

[1244] 2. Posting questions and recognizing emotions

[1245] A user accesses a question submission page and enters a question in the text box. The device activates the emotion engine, which analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates the recognized emotion data and sends it to the device. The device then sends the question data and emotion data to the server.

[1246] 3. Generating and Evaluating Question-Answer Pairs

[1247] The server sends question data and emotion data to the AI ​​module's API endpoint. The AI ​​module generates an answer with the appropriate tone and content based on the user's question and emotion data. The server receives the generated answer and verifies its reliability and accuracy using a rating algorithm. The server stores question and answer pairs that pass the rating in a database and lists them on the marketplace.

[1248] 4. View and purchase Q&A pairs

[1249] The user accesses the marketplace page and browses the listed question and answer pairs. The device again activates the emotion engine to recognize the user's current emotion. The emotion engine uses the generated emotion data to customize the list of question and answer pairs to display. The user selects pairs that interest them, adds them to their cart, and completes the purchase. The device sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase information in its database and sends the user a purchase confirmation email.

[1250] 5. Use after purchase

[1251] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[1252] Specific examples

[1253] For example, user A posts a question such as "How do I remove duplicates from a list using Python?". User A enters the question, and the emotion engine recognizes user A's state of tension. The device sends the question data and emotion data to the server, which then sends them to the artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and simultaneously adds an encouraging message, "You can do it easily!" The server evaluates the reliability of this answer, and if it is confirmed, stores it in its database and lists it on the marketplace. Next, user B purchases this question and answer pair from the marketplace and completes the payment. User B can download and use the purchased pair.

[1254] Prompt Sentence Examples

[1255] A prompt sentence to input question data and emotion data to the generative AI model:

[1256] User Question: "How to remove duplicates from a list in Python?"

[1257] User emotion data: "Tension"

[1258] Tone of response: "Encouraging"

[1259] In this way, the present invention realizes a system that takes user emotions into consideration to provide more personalized information, improving the user experience and enabling efficient acquisition of reliable information.

[1260] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1261] Step 1:

[1262] The user accesses the system's web page and enters their email address and password in the account registration form.

[1263] Input: Email address, password

[1264] Output: User registration request

[1265] Operation: The device sends the entered information to the server, which stores it in a database and generates a confirmation email to send to the user.

[1266] Step 2:

[1267] The user clicks on the link in the confirmation email to activate the account.

[1268] Input: Confirmation email

[1269] Output: Account activation request

[1270] What it does: The server receives the link click and updates the database to activate the account.

[1271] Step 3:

[1272] To log in to the system, the user enters their email address and password.

[1273] Input: Email address, password

[1274] Output: Login request

[1275] Operation: The terminal sends login information to the server, which checks it against a database, authenticates it, and starts a session if authentication is successful.

[1276] Step 4:

[1277] The user accesses the question submission page and enters the question in the text box.

[1278] Input: Question

[1279] Output: Question data

[1280] Action: The device starts the emotion engine and analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates emotion data and sends it to the device.

[1281] Step 5:

[1282] The terminal transmits the question data and emotion data to the server.

[1283] Input: Question data, emotion data

[1284] Output: Request to send question and sentiment data

[1285] How it works: The server sends these data to the API endpoint of the artificial intelligence module.

[1286] Step 6:

[1287] The server receives the generated answers from the artificial intelligence module.

[1288] Input: Question data, emotion data

[1289] Output: The generated answer

[1290] How it works: The AI ​​module generates an answer based on the question and emotion data. The server receives this answer.

[1291] Step 7:

[1292] The server rates the trustworthiness of the answer.

[1293] Input: Generated Answer

[1294] Output: Evaluation results

[1295] How it works: The server uses a rating algorithm to verify the reliability and accuracy of the answer, and if it passes, stores it in a database.

[1296] Step 8:

[1297] The server lists question and answer pairs that pass the evaluation on the marketplace.

[1298] Input: Question and answer pairs that pass the evaluation

[1299] Output: Marketplace listing

[1300] Operation: The server publishes the listed data to the marketplace.

[1301] Step 9:

[1302] Users browse the question and answer pairs listed in the marketplace.

[1303] Input: Marketplace access

[1304] Output: A list of question and answer pairs

[1305] Action: The device will start the emotion engine again, recognize the user's current emotion, and customize the display list.

[1306] Step 10:

[1307] The user selects the question and answer pairs that interest them and then completes the purchase process.

[1308] Input: Selected question and answer pairs

[1309] Output: Purchase request

[1310] Operation: The terminal sends the purchase information to the server, which processes the payment. After the payment is completed, the purchase information is saved in the database.

[1311] Step 11:

[1312] The user downloads the purchased question and answer pairs.

[1313] Input: Download request

[1314] Output: Download question and answer pairs

[1315] Operation: The server receives the download request and sends the purchased pair to the user's device.

[1316] (Application example 2)

[1317] 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."

[1318] Conventional question-answering systems generate answers without considering the user's emotions, which can result in answers that do not match the user's emotional state. This leads to issues such as a poor user experience and limited usefulness of the information provided. Furthermore, there are insufficient evaluation methods to efficiently provide only reliable information, which can lead to variations in the quality of the information.

[1319] The identification process by the identification 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 providing an interface for a user to enter a question, means for sending the entered question to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for acquiring user emotion data, means for adjusting the tone and content of the generated answer based on the emotion data, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pair, and means for providing the purchased question and answer pair to the user. This makes it possible to provide personalized answers according to the user's emotions and efficiently obtain reliable information.

[1320] "User" refers to an individual or organization that uses this system to post questions and receive answers.

[1321] "Interface" refers to the means, including screens and features, used by a user to enter a question and to view and select from listed question and answer pairs.

[1322] "Artificial Intelligence Module" refers to algorithms and associated software for generating optimal answers to questions submitted by users.

[1323] "Emotion data" refers to information that indicates the user's emotional state (for example, tension, anxiety, joy, etc.).

[1324] An "emotion engine" refers to software and algorithms that analyze user input information, facial expressions, etc. to recognize emotional data.

[1325] "Means to adjust tone and content" refers to a feature that allows users to customize the tone and content of responses generated by the AI ​​module based on emotional data.

[1326] "Evaluation tools" refer to the algorithms and processes that evaluate the generated question and answer pairs in terms of reliability and accuracy.

[1327] "Marketplace" means an online platform for listing rated question and answer pairs for viewing and purchasing by other users.

[1328] "Payment processing means" refers to the functionality and system for executing the payment required when a user purchases a question and answer pair selected by the user.

[1329] "Downloading means" refers to a function that allows a user to download the question and answer pairs they have purchased to their own terminal.

[1330] The present invention is a system that allows users to post questions and provides answers to those questions using an artificial intelligence module. Furthermore, it utilizes an emotion engine to recognize the user's emotions and provide answers accordingly. A specific embodiment of this system is described below.

[1331] System Configuration

[1332] 1. User registration and login:

[1333] When a user first accesses the system, they register an account using their email address and password. The captured information is sent to the server and stored in a database. Once registration is complete, a confirmation email is sent and the user clicks on the link to activate their account. The user then logs in to the system using their email address and password.

[1334] 2. Posting questions and recognizing emotions:

[1335] After logging in, the user accesses the question posting interface. The user enters the question in the text box, and the emotion engine recognizes the emotion from the user's facial expression and typing speed. This emotion data is sent to the server.

[1336] 3. Sending questions and emotion data:

[1337] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the AI ​​module, which then adjusts the tone and content of the response based on the emotion data.

[1338] 4. Generate and evaluate question and answer pairs:

[1339] The server receives answers generated by the AI ​​module, which are tailored to the appropriate tone and content based on emotional data. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database and listed on the marketplace.

[1340] 5. View and purchase Q&A pairs:

[1341] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the displayed pair list accordingly. When the user finds a pair that interests them, they select it, add it to their cart, and then check out. The device then sends the purchase information to the server, which then processes the payment.

[1342] 6. Post-purchase use:

[1343] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[1344] Hardware and software used

[1345] Hardware:

[1346] The server that runs this system and the devices used by users (smartphones, tablets, PCs, etc.).

[1347] software:

[1348] Python: The main programming language.

[1349] Flask: A web framework.

[1350] requests: Used to call external APIs.

[1351] smtplib: Simple SMTP email sending.

[1352] Specific examples

[1353] When a user posts a question on their smartphone, such as "How do I remove duplicates from a list using Python?", the emotion engine recognizes the user's state of tension, and the server sends this data to the AI ​​module. The AI ​​module generates an answer, "Use list(set(my_list))," and includes an encouraging message, "You can do it easily!" This answer is then listed on the marketplace, and becomes useful when other users have the same question.

[1354] Example prompt for a generative AI model:

[1355] "The questioner seems nervous. Can you gently explain how to remove duplicates from a list in Python?"

[1356] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1357] Step 1:

[1358] A user accesses the system and registers an account. The inputs provided by the user in this step are an email address and a password. The terminal sends this information to the server, which stores it in a database. The server then sends a confirmation email to the user. When the user clicks on the link in the confirmation email, the account is activated.

[1359] Step 2:

[1360] A user logs in to the system using an email address and password. At this time, the user enters the email address and password. The terminal sends this information to the server, which checks it against the registered information in the database. If the check is successful, the server returns a login success message to the terminal.

[1361] Step 3:

[1362] After logging in, the user accesses the question posting interface. The user enters a question in the input box. The device acquires the user's input data, and at the same time, the emotion engine recognizes the user's emotion from their facial expression data and input speed. This emotion data is sent to the server along with the user's input. The input is the question text and emotion data, and the output is request data that includes these.

[1363] Step 4:

[1364] The server sends question data and emotion data to the AI ​​module's API endpoint. Here, the input is the question data and emotion data, and the output is the answer generated by the AI ​​module. The server receives this data, and the tone and content of the answer are appropriately adjusted based on the emotion data.

[1365] Step 5:

[1366] The server evaluates the generated question and answer pairs using an algorithm. The input is the question and answer pair, and the output is the evaluation result. Question and answer pairs that have been confirmed to be reliable are stored in a database.

[1367] Step 6:

[1368] The server lists the question and answer pairs that pass the evaluation on the marketplace. The input of this step is the question and answer pairs that pass the evaluation, and the output is the data listed on the marketplace. Users can view these listings through the interface.

[1369] Step 7:

[1370] The user browses the question and answer pairs listed in the marketplace and selects the pair they are interested in. The question and answer pair selected by the user is added to the cart. The terminal sends this information to the server. The input is the selected question and answer pair, and the output is the data added to the cart.

[1371] Step 8:

[1372] The payment process is performed to purchase the pair selected by the user. The terminal inputs payment information and sends it to the server. The server processes the transaction and sends a purchase confirmation message to the user. The input is payment information and the output is the purchase confirmation message.

[1373] Step 9:

[1374] The user downloads the question and answer pairs from the provided link after purchase. The server receives the download request and sends the purchased pairs to the user's device. The input is the download request, and the output is the downloaded question and answer pairs.

[1375] Through these steps, the system provides personalized answers that correspond to the user's emotions, enabling the efficient acquisition of reliable information.

[1376] 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.

[1377] 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.

[1378] 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.

[1379] [Fourth embodiment]

[1380] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1381] 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.

[1382] 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).

[1383] 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.

[1384] 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.

[1385] 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).

[1386] 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.

[1387] 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.

[1388] 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.

[1389] 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.

[1390] 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.

[1391] 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.

[1392] 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."

[1393] This invention is a system that uses an artificial intelligence module to generate answers to questions entered by users, and lists the question-answer pairs on a marketplace after evaluating their reliability, allowing users to purchase them. A specific embodiment of this system will be described below.

[1394] 1. User Registration and Login

[1395] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link contained in the email to activate the account. The user then enters their email address and password to log in to the system.

[1396] 2. Post and submit your question

[1397] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[1398] 3. Evaluate and save question and answer pairs

[1399] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[1400] 4. View and purchase Q&A pairs

[1401] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[1402] 5. Use after purchase

[1403] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[1404] Specific examples

[1405] As a specific example, when user A posts a question, "How do I remove duplicates in a list using Python?", the server sends this question to an artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, user B selects this question and answer pair for purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[1406] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[1407] The processing flow will be explained below.

[1408] Program processing steps

[1409] User Registration and Login

[1410] Step 1:

[1411] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[1412] Step 2:

[1413] The user enters their email address and password into the registration form and clicks the "Submit" button.

[1414] Step 3:

[1415] The device sends the entered email address and password to the server.

[1416] Step 4:

[1417] The server stores the received email address and password in a database and generates a confirmation email.

[1418] Step 5:

[1419] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[1420] Step 6:

[1421] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[1422] Step 7:

[1423] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[1424] Posting and Submitting Questions

[1425] Step 1:

[1426] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[1427] Step 2:

[1428] The user enters the question in the text box and clicks the "Submit" button.

[1429] Step 3:

[1430] The terminal transmits the query data to the server.

[1431] Step 4:

[1432] The server sends the received question to the API endpoint of the artificial intelligence module.

[1433] Rate and save question and answer pairs

[1434] Step 1:

[1435] The server receives the generated answers from the artificial intelligence module.

[1436] Step 2:

[1437] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[1438] Step 3:

[1439] Question and answer pairs that pass the evaluation are stored in a database.

[1440] Step 4:

[1441] The server lists the saved question and answer pairs in a marketplace.

[1442] Browse and purchase Q&A pairs

[1443] Step 1:

[1444] A user visits the marketplace and browses the listed question and answer pairs.

[1445] Step 2:

[1446] Users select the question and answer pairs that interest them and click "Add to Cart."

[1447] Step 3:

[1448] The user confirms the selected pair on the cart screen and clicks "Proceed to checkout."

[1449] Step 4:

[1450] The terminal transmits the purchase information to the server.

[1451] Step 5:

[1452] The server sends a request to the payment gateway API to process the payment.

[1453] Step 6:

[1454] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[1455] Use after purchase

[1456] Step 1:

[1457] The user clicks on the download link in the purchase confirmation email to go to the download page.

[1458] Step 2:

[1459] The user clicks the "Download" button to download the purchased question and answer pair.

[1460] Step 3:

[1461] The server receives the download request and sends the purchased pair to the user's device.

[1462] This allows the user to efficiently obtain highly reliable information.

[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 question-answering systems have difficulty providing reliable answers to questions posted by users, and lack a mechanism for efficiently managing and selling those questions and answers. As a result, users may make decisions based on unreliable information, and information transactions are not carried out smoothly.

[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 means for providing an interface for users to enter questions, means for transmitting the entered questions to a data processing device, means for receiving answers generated by the data processing device, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a storage device and listing them on a marketplace, means for providing an interface for browsing and selecting from the listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to users, means for checking the reliability and accuracy using multiple algorithms, and means for providing links for downloading the question and answer pairs purchased by users, thereby enabling users to efficiently obtain reliable information and make accurate decisions based on that information.

[1468] "User" refers to a person who uses this system, and is an entity that posts questions and purchases answers.

[1469] "Interface" refers to the screens and tools that allow users to enter questions and interact with the system.

[1470] "Data processing device" refers to a device or system that contains an artificial intelligence module for receiving user-submitted questions and generating answers.

[1471] "Storage device" refers to a database or storage for storing question and answer pairs that have passed evaluation.

[1472] "Marketplace" refers to an online platform where saved question and answer pairs are listed and available for users to browse and purchase.

[1473] "Algorithm" refers to the set of computational procedures or routines used to assess the reliability and accuracy of the responses received.

[1474] "Payment processing means" refers to the mechanism or method for making payments when a user purchases a question and answer pair.

[1475] "Link" means a URL or button containing instructions for a User to download the question and answer pair they purchased.

[1476] MODE FOR CARRYING OUT THE INVENTION

[1477] This invention is a system that uses a generative AI model to generate answers to questions entered by users, evaluates the question-answer pairs to check their reliability, and then lists them on a marketplace where users can purchase them.

[1478] Hardware and Software Use

[1479] Terminal: A device used by a user to access the system, including PCs, smartphones, tablets, etc.

[1480] Server: A central processing unit for processing, storing, rating, and operating the marketplace.

[1481] Storage device: Refers to databases and cloud storage, and stores various data within the system.

[1482] Generative AI models: Generate answers to questions using natural language processing models such as GPT-3.

[1483] Specific processing of the system

[1484] 1. User Account Registration and Login

[1485] A user accesses the system, enters an email address and password, and registers an account, which sends the user information to the server and stores it in a database.

[1486] After registration, the server will send a confirmation email to the user, and the user will click on the confirmation link to activate the account. After that, the user will enter their email address and password on the login screen to log in to the system.

[1487] 2. Post and submit your question

[1488] After logging in, users access the question submission screen, enter their question, and click the send button, which causes the device to send the question data to the server.

[1489] The server sends the received question to a generative AI model, which then generates an appropriate answer to the question and sends it back to the server.

[1490] 3. Evaluate and save question and answer pairs

[1491] The server evaluates the answers received from the generative AI model, using multiple algorithms to check for reliability and accuracy.

[1492] Question and answer pairs whose authenticity has been confirmed are stored in a storage device and listed on the marketplace.

[1493] 4. View and purchase Q&A pairs

[1494] A user visits the marketplace and browses the listed question and answer pairs.

[1495] Users select the pair they are interested in, add it to their cart, and then check out. The device sends the purchase information to the server, which processes the payment. Once the process is complete, the purchase history is saved in a database.

[1496] 5. Use after purchase

[1497] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[1498] Specific examples

[1499] As a specific example, when User A posts a question, "How do I remove duplicates from a list in Python?", the server sends this question to a generative AI model. The model generates an answer, "Use list(set(my_list))," and sends it back to the server. The server evaluates this answer, and if it is confirmed to be reliable, it stores it in a database and lists it on the marketplace. Next, User B purchases this question and answer pair on the marketplace and completes the payment process. User B can download and use the purchased pair.

[1500] Prompt Sentence Examples

[1501] Question posting prompt:

[1502] "How to remove duplicates from a list in Python?"

[1503] Prompt for the generative AI model:

[1504] Question: How to remove duplicates from a list in Python?

[1505] answer:

[1506] This system allows users to efficiently obtain highly reliable information and make accurate decisions based on that information.

[1507] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1508] Step 1: User Registration

[1509] A user accesses the system, enters an email address and password, and registers an account. This operation provides input information (email address, password).

[1510] The terminal transmits the input information to the server.

[1511] The server stores the received information in a database and returns a success message.

[1512] The server will send a confirmation email to the user and they will need to click on the link in the email to activate their account.

[1513] Step 2: Log in

[1514] The user enters their email address and password to access the login screen. The input information (email address, password) is obtained.

[1515] The terminal transmits this login information to the server.

[1516] The server refers to the database to perform authentication, and if successful, generates and sends an authentication token.

[1517] The user receives an authentication token and the login is complete.

[1518] Step 3: Post a question

[1519] The user accesses the question posting screen and enters the question in the text box. The input information (question) is obtained.

[1520] The user clicks the send button, and the terminal transmits the question data to the server.

[1521] The server sends the question data to the generative AI model.

[1522] Step 4: Generate an answer

[1523] The generative AI model analyzes the received question data and generates an appropriate answer. This operation produces output data (answers) based on input data (questions).

[1524] The generative AI model sends the generated answer back to the server.

[1525] Step 5: Evaluate question-answer pairs

[1526] The server applies the answers received from the generative AI model to an evaluation algorithm, which produces output data (evaluation results) based on the input data (question-answer pairs).

[1527] The server uses multiple algorithms to verify authenticity and accuracy.

[1528] Step 6: Save the question and answer pair

[1529] The server saves the verified question-answer pairs in a storage device. The input of this operation is the evaluation result and the question-answer pair, and the output is a success message.

[1530] The server lists the saved question and answer pairs in a marketplace.

[1531] Step 7: Browse the Marketplace

[1532] A user accesses the marketplace to view the listed question and answer pairs. This action displays the listed question and answer pairs.

[1533] The user selects pairs that interest them and adds them to their cart.

[1534] Step 8: Checkout

[1535] The user then completes the purchase process for the question and answer pair added to the cart and enters payment information. The input for this operation is payment information and purchase information, and the output is a purchase confirmation message.

[1536] The terminal transmits the purchase information to the server.

[1537] The server processes the payment and stores the purchase history in a database.

[1538] Step 9: Download

[1539] The user receives a download link from their purchase history and clicks on the link to download the question and answer pairs.

[1540] The server receives the download request and sends the data to the user. The input of this operation is the download request, and the output is the question-answer pair data.

[1541] (Application example 1)

[1542] 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."

[1543] In today's information society, users need to quickly obtain reliable information. However, the vast amount of information on the Internet, and much of it lacks reliability and accuracy, presents a challenge for users, making it difficult to accurately obtain the information they need. In addition, there are cases where the downloaded and used information is not smoothly completed.

[1544] 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.

[1545] In this invention, the server includes means for providing an interface for users to enter questions, means for sending the entered questions to an artificial intelligence module, means for receiving answers generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for viewing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pairs, means for providing the purchased question and answer pairs to the user, means for listing and displaying the evaluated question and answer pairs based on their reliability and accuracy, and means for downloading the purchased question and answer pairs after the user has completed payment, thereby enabling users to quickly and efficiently obtain reliable information and smoothly download and use the purchased information.

[1546] A "user" is an individual or entity that uses the system to enter questions and obtain answers.

[1547] A "question interface" is a means of the user interface through which a question is entered by a user.

[1548] An "artificial intelligence module" is a means containing artificial intelligence algorithms that generate appropriate answers based on questions submitted by users.

[1549] The "receiving means" is a means by which the server receives the answer generated by the artificial intelligence module.

[1550] An "evaluation means" is a means that includes an algorithm or process that evaluates received question and answer pairs and checks their reliability.

[1551] The "database storage means" is a means for storing question and answer pairs that have passed the evaluation in a database.

[1552] A "marketplace listing means" is a means for listing a question and answer pair stored in the database on the marketplace.

[1553] A "viewing interface" is an interface means by which a user can view and select from the listed question and answer pairs.

[1554] The "payment processing means" is a means for processing a payment to purchase the selected question and answer pair.

[1555] The "provision means" is a means for providing the purchased question and answer pairs to the user.

[1556] A "listing means" is a means for listing and displaying rated question and answer pairs on the marketplace based on reliability and accuracy.

[1557] The "downloading means" is a means for allowing a user to download the question and answer pairs purchased by the user.

[1558] The present invention provides a system in which a user inputs a financial-related question into the system, which generates a reliable answer using an artificial intelligence module, lists the question-answer pair on a marketplace, and allows users to purchase it through electronic payment. An embodiment of the system will be described in detail below.

[1559] 1. User Registration and Login

[1560] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends the user a confirmation email, and the user clicks on the link contained in the email to activate their account. The user then enters their email address and password to log in to the system.

[1561] 2. Post and submit your question

[1562] After logging in, the user accesses the question submission screen. The user enters the question in the text box and clicks the send button. The device sends this question data to the server, which then passes the question to the AI ​​module. The AI ​​module generates an answer based on the received question and sends it back to the server.

[1563] 3. Evaluate and save question and answer pairs

[1564] The server evaluates the answers received from the AI ​​module using multiple algorithms to check their reliability and accuracy. Question and answer pairs that are confirmed to be reliable are stored in a database. The server then lists the stored pairs on the marketplace.

[1565] 4. View and purchase Q&A pairs

[1566] Users access the marketplace and browse the listed question and answer pairs. When they find a pair that interests them, they select it, add it to their cart, and then check out. The terminal sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase history in a database and provides the purchased question and answer pair to the user.

[1567] 5. Use after purchase

[1568] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the data to the user.

[1569] Hardware and software used

[1570] Database: MySQL

[1571] Frontend: React Native (smartphone app)

[1572] Backend: Node.js

[1573] Artificial Intelligence Module: Generative AI models (e.g., OpenAI GPT-4)

[1574] Specific examples

[1575] As a specific example, consider the case where User A posts the question, "What is the safest way to store Bitcoin?" This question is sent from the device to the server, which then passes it to the AI ​​module. The AI ​​module generates an answer, "Using a hardware wallet is the safest way," and sends it back to the server. The server evaluates this answer, and if it is found to be reliable, stores it in its database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace, completing the payment process. User B can then download and use the purchased pair.

[1576] In this way, a system is provided that allows users to efficiently obtain reliable information and makes the most of the capabilities of generative AI.

[1577] Prompt Sentence Examples

[1578] How to store Bitcoin safely?

[1579] What is the best investment strategy?

[1580] What is an index fund?

[1581] This system allows users to obtain accurate answers to their questions and make decisions based on reliable information.

[1582] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1583] Step 1:

[1584] A user accesses the system and registers an account. An email address and password are entered from the terminal and sent to the server. The server receives this information and stores it in a database. The server then sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The input is an email address and password, and the output is sending a confirmation email and updating the database.

[1585] Step 2:

[1586] A user logs into the system by entering an email address and password. The terminal sends this information to the server, which then queries the database for the relevant user information. If authentication is successful, the user transitions from the login screen to the home screen. The input is login information (email address and password), and the output is a screen transition based on the authentication result.

[1587] Step 3:

[1588] After logging in, the user accesses the question submission screen and enters the question in the text box. When the user clicks the send button, the device sends this question data to the server. The server then passes the question to the artificial intelligence module. The input to this process is the user's question entry, and the output is the server's transfer of the question data to the AI ​​module.

[1589] Step 4:

[1590] The AI ​​module generates an answer based on the received question. The generated answer is sent back to the server. The input is the user's question data, and the output is the answer data generated by the AI ​​module.

[1591] Step 5:

[1592] The server evaluates the answers received from the artificial intelligence module. The evaluation uses multiple algorithms (e.g., reliability check, accuracy check). Successfully evaluated question-answer pairs are stored in a database. The input is the answer data from the AI ​​module, and the output is the database storage of the evaluated data.

[1593] Step 6:

[1594] The server lists the question and answer pairs stored in the database on the marketplace, making them available for other users to view. The input is the rated data in the database, and the output is updates to the marketplace.

[1595] Step 7:

[1596] A user visits the marketplace, browses the listed question-answer pairs, selects one, and adds the selected question-answer pair to their cart. The input is the user's marketplace browsing behavior, and the output is cart updates.

[1597] Step 8:

[1598] To purchase the selected question and answer pair, the user enters payment information, which the terminal sends to the server. The server processes the payment and, if successful, stores the purchase information in a database. The input is the payment information, and the output is the payment processing result and an update to the database.

[1599] Step 9:

[1600] After payment is completed, the server provides the purchased question and answer pair to the user via a download link, and the user downloads it from the provided link. The input is a payment completion notification, and the output is the provision of a download link and the data download.

[1601] 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.

[1602] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1603] 1. User Registration and Login

[1604] A user first accesses the system and registers for an account. To register an account, an email address and password are required. The terminal sends this information to the server, which then stores the received information in a database. Once registration is complete, the server sends a confirmation email to the user, and the user clicks on the link in the email to activate the account. The user then enters their email address and password to log in to the system.

[1605] 2. Posting questions and recognizing emotions

[1606] After logging in, the user accesses the question posting screen. The user enters the question in the text box. At the same time, the emotion engine recognizes the user's emotions from their facial expressions and typing speed. The emotion engine then sends the recognized emotion data to the server.

[1607] 3. Sending questions and emotion data

[1608] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the artificial intelligence module.

[1609] 4. Generating and Evaluating Question-Answer Pairs

[1610] The server receives the answers generated by the AI ​​module. The AI ​​module can adjust the tone and content of the answers based on the emotional data. For example, if the user is feeling anxious, an encouraging answer may be provided. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database. The server then lists the stored pairs on the marketplace.

[1611] 5. View and purchase Q&A pairs

[1612] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion. When the user finds a pair that interests them, they select it, add it to their cart, and then complete the purchase. The device sends the purchase information to the server, which then processes the payment. Once the payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[1613] 6. Use after purchase

[1614] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[1615] Specific examples

[1616] As a specific example, if User A posts a question asking, "How do I remove duplicates from a list in Python?", the emotion engine recognizes User A's state of tension. The server sends this question data and emotion data to the AI ​​module, which provides the answer, "Use list(set(my_list))," and also includes an encouraging message, "You can do it easily!" The server evaluates this answer, and if it is confirmed to be reliable, it stores it in the database and lists it on the marketplace. Next, User B selects this question and answer pair to purchase on the marketplace and completes the payment process. User B can then download and use the purchased pair.

[1617] In this way, the present invention realizes a system that can provide more personalized information by taking into account the user's emotions, thereby improving the user experience and enabling the efficient acquisition of reliable information.

[1618] The processing flow will be explained below.

[1619] Program processing steps

[1620] User Registration and Login

[1621] Step 1:

[1622] The user accesses the system's top page and clicks the "Register" button to open the registration form.

[1623] Step 2:

[1624] The user enters their email address and password into the registration form and clicks the "Submit" button.

[1625] Step 3:

[1626] The device sends the entered email address and password to the server.

[1627] Step 4:

[1628] The server stores the received email address and password in a database and generates a confirmation email.

[1629] Step 5:

[1630] The server sends the user a confirmation email, and the user clicks on a link in the email to activate the account.

[1631] Step 6:

[1632] The user goes to the system's login screen, enters their email address and password, and clicks the "Login" button.

[1633] Step 7:

[1634] The server authenticates the user by checking the entered authentication information against its database, and if authentication is successful, issues the user a session ID and redirects them to the main page.

[1635] Posting questions and recognizing emotions

[1636] Step 1:

[1637] After logging in, the user clicks the "Post a Question" link on the main page to display the question posting screen.

[1638] Step 2:

[1639] The user begins to type their question into the text box, and the emotion engine monitors their facial expressions and typing speed in real time.

[1640] Step 3:

[1641] The emotion engine analyzes the user's emotion data (e.g., anxiety, joy, tension, etc.) and sends it to the server.

[1642] Step 4:

[1643] After the user has finished entering the question, he or she clicks the "Submit" button.

[1644] Submitting questions and emotion data

[1645] Step 1:

[1646] The terminal transmits the question data and emotion data to the server.

[1647] Step 2:

[1648] The server sends the received question data and emotion data to the API endpoint of the artificial intelligence module.

[1649] Generating and evaluating question-answer pairs

[1650] Step 1:

[1651] The server receives the response generated by the AI ​​module, and adjusts the tone and content of the response generated by the AI ​​module based on the emotional data.

[1652] Step 2:

[1653] For example, if the user is feeling anxious, the AI ​​module can generate encouraging responses such as, "Use list(set(my_list)). Don't worry, this is easy!"

[1654] Step 3:

[1655] The server uses an algorithm to assess the reliability and accuracy of the generated answers.

[1656] Step 4:

[1657] Question and answer pairs that pass the evaluation are stored in a database.

[1658] Step 5:

[1659] The server lists the saved question and answer pairs in a marketplace.

[1660] Browse and purchase Q&A pairs

[1661] Step 1:

[1662] A user visits the marketplace and browses the listed question and answer pairs.

[1663] Step 2:

[1664] The emotion engine then recognizes the user's current emotion and customizes the list of question and answer pairs displayed based on that emotion.

[1665] Step 3:

[1666] When a user finds a question and answer pair that interests them, they select it, add it to their cart, and click the "Proceed to Checkout" button.

[1667] Step 4:

[1668] The terminal transmits the purchase information to the server.

[1669] Step 5:

[1670] The server sends a request to the payment gateway API to process the payment.

[1671] Step 6:

[1672] Once payment is complete, the server saves the purchase information in a database and sends the user a purchase confirmation email.

[1673] Use after purchase

[1674] Step 1:

[1675] The user clicks on the download link in the purchase confirmation email to go to the download page.

[1676] Step 2:

[1677] The user clicks the "Download" button to download the purchased question and answer pair.

[1678] Step 3:

[1679] The server receives the download request and sends the purchased pair to the user's device.

[1680] The above processing steps allow users to efficiently obtain highly reliable information. Furthermore, by combining it with an emotion engine, it becomes possible to provide more personalized information. This further improves the user experience and enables the provision of highly satisfying services.

[1681] Example 2

[1682] 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."

[1683] Modern information retrieval systems make it difficult for users to quickly and accurately obtain the information most relevant to them. Furthermore, they lack a mechanism for providing personalized answers that reflect the user's emotions and circumstances, resulting in a lack of improvement in the user experience. In particular, they are unable to generate answers with the appropriate tone and content for each question, making it difficult to increase user satisfaction.

[1684] 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.

[1685] In this invention, the server includes means for providing an interface for a user to enter a question, means for transmitting the entered question and the user's emotion data to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting the listed question and answer pairs, means for customizing the list of question and answer pairs to be displayed based on the user's emotion data, means for processing payments for purchasing the selected question and answer pairs, and means for providing the purchased question and answer pairs to the user. This enables the provision of personalized information according to the user's emotions and situation, improving the user experience and enabling the efficient acquisition of reliable information.

[1686] A "question" is text data that a user inputs to the system to request information.

[1687] An "interface" is a system component that provides a screen and input means for users to perform specific operations.

[1688] An "artificial intelligence module" is software that includes machine learning algorithms and databases to generate appropriate answers based on a user's questions.

[1689] "Emotion data" is data that expresses the user's emotional state, and is extracted from facial expressions, movements, input speed, etc. analyzed by the emotion engine.

[1690] An "emotion engine" is a hardware or software component for analyzing a user's emotional state and generating emotion data.

[1691] "Evaluation Algorithm" means a computational method used to verify the reliability and accuracy of answers generated by an artificial intelligence module.

[1692] A "marketplace" is an online platform where question and answer pairs that have passed evaluation are listed and can be viewed and purchased by users.

[1693] "Payment Processing Entity" means a system component for processing a user's payment information when purchasing a selected question and answer pair.

[1694] This invention combines a system that uses an artificial intelligence module to generate answers to user questions, evaluates the reliability of the question-answer pairs, and lists them on a marketplace, with an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1695] 1. Account Registration and Login

[1696] A user first accesses the system's web page and enters their email address and password in the account registration form. The terminal sends this information to the server, which stores the received information in a database. The server generates a confirmation email and sends it to the user's email address. The user clicks the link in the confirmation email to activate their account. The user then enters their email address and password to log in to the system.

[1697] 2. Posting questions and recognizing emotions

[1698] A user accesses a question submission page and enters a question in the text box. The device activates the emotion engine, which analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates the recognized emotion data and sends it to the device. The device then sends the question data and emotion data to the server.

[1699] 3. Generating and Evaluating Question-Answer Pairs

[1700] The server sends question data and emotion data to the AI ​​module's API endpoint. The AI ​​module generates an answer with the appropriate tone and content based on the user's question and emotion data. The server receives the generated answer and verifies its reliability and accuracy using a rating algorithm. The server stores question and answer pairs that pass the rating in a database and lists them on the marketplace.

[1701] 4. View and purchase Q&A pairs

[1702] The user accesses the marketplace page and browses the listed question and answer pairs. The device again activates the emotion engine to recognize the user's current emotion. The emotion engine uses the generated emotion data to customize the list of question and answer pairs to display. The user selects pairs that interest them, adds them to their cart, and completes the purchase. The device sends the purchase information to the server, which processes the payment. Once the payment is complete, the server saves the purchase information in its database and sends the user a purchase confirmation email.

[1703] 5. Use after purchase

[1704] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[1705] Specific examples

[1706] For example, user A posts a question such as "How do I remove duplicates from a list using Python?". User A enters the question, and the emotion engine recognizes user A's state of tension. The device sends the question data and emotion data to the server, which then sends them to the artificial intelligence module. The artificial intelligence module generates an answer, "Use list(set(my_list))," and simultaneously adds an encouraging message, "You can do it easily!" The server evaluates the reliability of this answer, and if it is confirmed, stores it in its database and lists it on the marketplace. Next, user B purchases this question and answer pair from the marketplace and completes the payment. User B can download and use the purchased pair.

[1707] Prompt Sentence Examples

[1708] A prompt sentence to input question data and emotion data to the generative AI model:

[1709] User Question: "How to remove duplicates from a list in Python?"

[1710] User emotion data: "Tension"

[1711] Tone of response: "Encouraging"

[1712] In this way, the present invention realizes a system that takes user emotions into consideration to provide more personalized information, improving the user experience and enabling efficient acquisition of reliable information.

[1713] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1714] Step 1:

[1715] The user accesses the system's web page and enters their email address and password in the account registration form.

[1716] Input: Email address, password

[1717] Output: User registration request

[1718] Operation: The device sends the entered information to the server, which stores it in a database and generates a confirmation email to send to the user.

[1719] Step 2:

[1720] The user clicks on the link in the confirmation email to activate the account.

[1721] Input: Confirmation email

[1722] Output: Account activation request

[1723] What it does: The server receives the link click and updates the database to activate the account.

[1724] Step 3:

[1725] To log in to the system, the user enters their email address and password.

[1726] Input: Email address, password

[1727] Output: Login request

[1728] Operation: The terminal sends login information to the server, which checks it against a database, authenticates it, and starts a session if authentication is successful.

[1729] Step 4:

[1730] The user accesses the question submission page and enters the question in the text box.

[1731] Input: Question

[1732] Output: Question data

[1733] Action: The device starts the emotion engine and analyzes the user's facial expressions, movements, input speed, etc. The emotion engine generates emotion data and sends it to the device.

[1734] Step 5:

[1735] The terminal transmits the question data and emotion data to the server.

[1736] Input: Question data, emotion data

[1737] Output: Request to send question and sentiment data

[1738] How it works: The server sends these data to the API endpoint of the artificial intelligence module.

[1739] Step 6:

[1740] The server receives the generated answers from the artificial intelligence module.

[1741] Input: Question data, emotion data

[1742] Output: The generated answer

[1743] How it works: The AI ​​module generates an answer based on the question and emotion data. The server receives this answer.

[1744] Step 7:

[1745] The server rates the trustworthiness of the answer.

[1746] Input: Generated Answer

[1747] Output: Evaluation results

[1748] How it works: The server uses a rating algorithm to verify the reliability and accuracy of the answer, and if it passes, stores it in a database.

[1749] Step 8:

[1750] The server lists question and answer pairs that pass the evaluation on the marketplace.

[1751] Input: Question and answer pairs that pass the evaluation

[1752] Output: Marketplace listing

[1753] Operation: The server publishes the listed data to the marketplace.

[1754] Step 9:

[1755] Users browse the question and answer pairs listed in the marketplace.

[1756] Input: Marketplace access

[1757] Output: A list of question and answer pairs

[1758] Action: The device will start the emotion engine again, recognize the user's current emotion, and customize the display list.

[1759] Step 10:

[1760] The user selects the question and answer pairs that interest them and then completes the purchase process.

[1761] Input: Selected question and answer pairs

[1762] Output: Purchase request

[1763] Operation: The terminal sends the purchase information to the server, which processes the payment. After the payment is completed, the purchase information is saved in the database.

[1764] Step 11:

[1765] The user downloads the purchased question and answer pairs.

[1766] Input: Download request

[1767] Output: Download question and answer pairs

[1768] Operation: The server receives the download request and sends the purchased pair to the user's device.

[1769] (Application example 2)

[1770] 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."

[1771] Conventional question-answering systems generate answers without considering the user's emotions, which can result in answers that do not match the user's emotional state. This leads to issues such as a poor user experience and limited usefulness of the information provided. Furthermore, there are insufficient evaluation methods to efficiently provide only reliable information, which can lead to variations in the quality of the information.

[1772] The identification process by the identification 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 providing an interface for a user to enter a question, means for sending the entered question to an artificial intelligence module, means for receiving an answer generated by the artificial intelligence module, means for acquiring user emotion data, means for adjusting the tone and content of the generated answer based on the emotion data, means for evaluating the received question and answer pairs and checking their reliability, means for storing question and answer pairs that pass the evaluation in a database and listing them on a marketplace, means for providing an interface for browsing and selecting listed question and answer pairs, means for processing payments for purchasing the selected question and answer pair, and means for providing the purchased question and answer pair to the user. This makes it possible to provide personalized answers according to the user's emotions and efficiently obtain reliable information.

[1773] "User" refers to an individual or organization that uses this system to post questions and receive answers.

[1774] "Interface" refers to the means, including screens and features, used by a user to enter a question and to view and select from listed question and answer pairs.

[1775] "Artificial Intelligence Module" refers to algorithms and associated software for generating optimal answers to questions submitted by users.

[1776] "Emotion data" refers to information that indicates the user's emotional state (for example, tension, anxiety, joy, etc.).

[1777] An "emotion engine" refers to software and algorithms that analyze user input information, facial expressions, etc. to recognize emotional data.

[1778] "Means to adjust tone and content" refers to a feature that allows users to customize the tone and content of responses generated by the AI ​​module based on emotional data.

[1779] "Evaluation tools" refer to the algorithms and processes that evaluate the generated question and answer pairs in terms of reliability and accuracy.

[1780] "Marketplace" means an online platform for listing rated question and answer pairs for viewing and purchasing by other users.

[1781] "Payment processing means" refers to the functionality and system for executing the payment required when a user purchases a question and answer pair selected by the user.

[1782] "Downloading means" refers to a function that allows a user to download the question and answer pairs they have purchased to their own terminal.

[1783] The present invention is a system that allows users to post questions and provides answers to those questions using an artificial intelligence module. Furthermore, it utilizes an emotion engine to recognize the user's emotions and provide answers accordingly. A specific embodiment of this system is described below.

[1784] System Configuration

[1785] 1. User registration and login:

[1786] When a user first accesses the system, they register an account using their email address and password. The captured information is sent to the server and stored in a database. Once registration is complete, a confirmation email is sent and the user clicks on the link to activate their account. The user then logs in to the system using their email address and password.

[1787] 2. Posting questions and recognizing emotions:

[1788] After logging in, the user accesses the question posting interface. The user enters the question in the text box, and the emotion engine recognizes the emotion from the user's facial expression and typing speed. This emotion data is sent to the server.

[1789] 3. Sending questions and emotion data:

[1790] The device sends question data and emotion data to the server, which then sends this data to the API endpoint of the AI ​​module, which then adjusts the tone and content of the response based on the emotion data.

[1791] 4. Generate and evaluate question and answer pairs:

[1792] The server receives answers generated by the AI ​​module, which are tailored to the appropriate tone and content based on emotional data. The server then uses an algorithm to evaluate the reliability and accuracy of the generated answers. Question and answer pairs that pass the evaluation are stored in a database and listed on the marketplace.

[1793] 5. View and purchase Q&A pairs:

[1794] A user accesses the marketplace and browses the listed question and answer pairs. The emotion engine recognizes the user's current emotion and customizes the displayed pair list accordingly. When the user finds a pair that interests them, they select it, add it to their cart, and then check out. The device then sends the purchase information to the server, which then processes the payment.

[1795] 6. Post-purchase use:

[1796] The user downloads the question and answer pairs from the provided download link. The server receives the download request and sends the purchased pairs to the user's device.

[1797] Hardware and software used

[1798] Hardware:

[1799] The server that runs this system and the devices used by users (smartphones, tablets, PCs, etc.).

[1800] software:

[1801] Python: The main programming language.

[1802] Flask: A web framework.

[1803] requests: Used to call external APIs.

[1804] smtplib: Simple SMTP email sending.

[1805] Specific examples

[1806] When a user posts a question on their smartphone, such as "How do I remove duplicates from a list using Python?", the emotion engine recognizes the user's state of tension, and the server sends this data to the AI ​​module. The AI ​​module generates an answer, "Use list(set(my_list))," and includes an encouraging message, "You can do it easily!" This answer is then listed on the marketplace, and becomes useful when other users have the same question.

[1807] Example prompt for a generative AI model:

[1808] "The questioner seems nervous. Can you gently explain how to remove duplicates from a list in Python?"

[1809] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1810] Step 1:

[1811] A user accesses the system and registers an account. The inputs provided by the user in this step are an email address and a password. The terminal sends this information to the server, which stores it in a database. The server then sends a confirmation email to the user. When the user clicks on the link in the confirmation email, the account is activated.

[1812] Step 2:

[1813] A user logs in to the system using an email address and password. At this time, the user enters the email address and password. The terminal sends this information to the server, which checks it against the registered information in the database. If the check is successful, the server returns a login success message to the terminal.

[1814] Step 3:

[1815] After logging in, the user accesses the question posting interface. The user enters a question in the input box. The device acquires the user's input data, and at the same time, the emotion engine recognizes the user's emotion from their facial expression data and input speed. This emotion data is sent to the server along with the user's input. The input is the question text and emotion data, and the output is request data that includes these.

[1816] Step 4:

[1817] The server sends question data and emotion data to the AI ​​module's API endpoint. Here, the input is the question data and emotion data, and the output is the answer generated by the AI ​​module. The server receives this data, and the tone and content of the answer are appropriately adjusted based on the emotion data.

[1818] Step 5:

[1819] The server evaluates the generated question and answer pairs using an algorithm. The input is the question and answer pair, and the output is the evaluation result. Question and answer pairs that have been confirmed to be reliable are stored in a database.

[1820] Step 6:

[1821] The server lists the question and answer pairs that pass the evaluation on the marketplace. The input of this step is the question and answer pairs that pass the evaluation, and the output is the data listed on the marketplace. Users can view these listings through the interface.

[1822] Step 7:

[1823] The user browses the question and answer pairs listed in the marketplace and selects the pair they are interested in. The question and answer pair selected by the user is added to the cart. The terminal sends this information to the server. The input is the selected question and answer pair, and the output is the data added to the cart.

[1824] Step 8:

[1825] The payment process is performed to purchase the pair selected by the user. The terminal inputs payment information and sends it to the server. The server processes the transaction and sends a purchase confirmation message to the user. The input is payment information and the output is the purchase confirmation message.

[1826] Step 9:

[1827] The user downloads the question and answer pairs from the provided link after purchase. The server receives the download request and sends the purchased pairs to the user's device. The input is the download request, and the output is the downloaded question and answer pairs.

[1828] Through these steps, the system provides personalized answers that correspond to the user's emotions, enabling the efficient acquisition of reliable information.

[1829] 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.

[1830] 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.

[1831] 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.

[1832] 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.

[1833] 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.

[1834] 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.

[1835] 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).

[1836] 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.

[1837] 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."

[1838] 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.

[1839] 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).

[1840] 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.

[1841] 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.

[1842] 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.

[1843] 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.

[1844] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1845] 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.

[1846] 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.

[1847] 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.

[1848] 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.

[1849] 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.

[1850] The following is further disclosed regarding the above embodiment.

[1851] (Claim 1)

[1852] means for providing an interface for a user to enter a question;

[1853] means for transmitting the written question to an artificial intelligence module;

[1854] means for receiving an answer generated by the artificial intelligence module;

[1855] a means for evaluating received question and answer pairs to check their reliability;

[1856] A means for storing question and answer pairs that pass the evaluation in a database and listing them on the marketplace; and

[1857] means for providing an interface for browsing and selecting from the listed question and answer pairs;

[1858] payment processing means for purchasing selected question and answer pairs;

[1859] a means for providing the purchased question and answer pairs to the user;

[1860] A system including:

[1861] (Claim 2)

[1862] 10. The system of claim 1, comprising an algorithm for checking the reliability of the evaluated question and answer pairs.

[1863] (Claim 3)

[1864] 10. The system of claim 1, further comprising means for making question and answer pairs purchased by a user downloadable.

[1865] "Example 1"

[1866] (Claim 1)

[1867] means for providing an interface for a user to enter a question;

[1868] means for transmitting the completed questionnaire to a data processing device;

[1869] means for receiving a response generated by said data processing device;

[1870] a means for evaluating received question and answer pairs to check their reliability;

[1871] a means for storing question and answer pairs that pass the evaluation in a storage device and listing them on the marketplace;

[1872] means for providing an interface for browsing and selecting from the listed question and answer pairs;

[1873] payment processing means for purchasing selected question and answer pairs;

[1874] a means for providing the purchased question and answer pairs to the user;

[1875] A system including:

[1876] (Claim 2)

[1877] 10. The system of claim 1, further comprising: means for checking the reliability and accuracy of question and answer pairs using multiple algorithms to ensure their reliability after they have passed evaluation and are listed on the marketplace.

[1878] (Claim 3)

[1879] 10. The system of claim 1, further comprising: means for providing a link to enable downloading of question and answer pairs purchased by a user.

[1880] "Application Example 1"

[1881] (Claim 1)

[1882] means for providing an interface for a user to enter a question;

[1883] means for transmitting the written question to an artificial intelligence module;

[1884] means for receiving an answer generated by the artificial intelligence module;

[1885] a means for evaluating received question and answer pairs to check their reliability;

[1886] A means for storing question and answer pairs that pass the evaluation in a database and listing them on the marketplace; and

[1887] means for providing an interface for browsing and selecting from the listed question and answer pairs;

[1888] payment processing means for purchasing selected question and answer pairs;

[1889] a means for providing the purchased question and answer pairs to the user;

[1890] a means for displaying a list of the evaluated question and answer pairs based on reliability and accuracy;

[1891] means for downloading the purchased question and answer pairs after payment has been completed by the user;

[1892] A system including:

[1893] (Claim 2)

[1894] 10. The system of claim 1, comprising an algorithm for checking the reliability of the evaluated question and answer pairs.

[1895] (Claim 3)

[1896] 10. The system of claim 1, further comprising means for making question and answer pairs purchased by a user downloadable.

[1897] "Example 2: Combining Emotion Engines"

[1898] (Claim 1)

[1899] means for providing an interface for a user to enter a question;

[1900] means for transmitting the entered questions and the user's emotion data to an artificial intelligence module;

[1901] means for receiving an answer generated by the artificial intelligence module;

[1902] a means for evaluating received question and answer pairs to check their reliability;

[1903] A means for storing question and answer pairs that pass the evaluation in a database and listing them on the marketplace; and

[1904] means for providing an interface for browsing and selecting from the listed question and answer pairs;

[1905] a means for customizing the list of question and answer pairs to display based on the user's sentiment data;

[1906] payment processing means for purchasing selected question and answer pairs;

[1907] a means for providing the purchased question and answer pairs to the user;

[1908] A system including:

[1909] (Claim 2)

[1910] 10. The system of claim 1, comprising an algorithm for checking the reliability of the evaluated question and answer pairs.

[1911] (Claim 3)

[1912] 10. The system of claim 1, further comprising an emotion engine for analyzing emotion data of a user.

[1913] "Application example 2 when combining emotion engines"

[1914] (Claim 1)

[1915] means for providing an interface for a user to enter a question;

[1916] means for transmitting the written question to an artificial intelligence module;

[1917] means for receiving an answer generated by the artificial intelligence module;

[1918] A means for acquiring user emotion data;

[1919] a means to adjust the tone and content of the generated responses based on the sentiment data; and

[1920] a means for evaluating received question and answer pairs to check their reliability;

[1921] A means for storing question and answer pairs that pass the evaluation in a database and listing them on the marketplace; and

[1922] means for providing an interface for browsing and selecting from the listed question and answer pairs;

[1923] payment processing means for purchasing selected question and answer pairs;

[1924] a means for providing the purchased question and answer pairs to the user;

[1925] A system including:

[1926] (Claim 2)

[1927] 10. The system of claim 1, comprising an algorithm for checking the reliability of the evaluated question and answer pairs.

[1928] (Claim 3)

[1929] 10. The system of claim 1, further comprising means for making question and answer pairs purchased by a user downloadable. [Explanation of symbols]

[1930] 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. means for providing an interface for a user to enter a question; means for transmitting the written question to an artificial intelligence module; means for receiving an answer generated by the artificial intelligence module; a means for evaluating received question and answer pairs to check their reliability; A means for storing question and answer pairs that pass the evaluation in a database and listing them on the marketplace; and means for providing an interface for browsing and selecting from the listed question and answer pairs; payment processing means for purchasing selected question and answer pairs; a means for providing the purchased question and answer pairs to the user; A system including:

2. The system of claim 1 , further comprising an algorithm for checking the reliability of the evaluated question and answer pairs.

3. 10. The system of claim 1, further comprising means for making question and answer pairs purchased by a user downloadable.

Images