System

Abstract

A system is provided.SOLUTION: A system for summarizing terms of use, comprising: means for a user to enter or select terms of use text; means for transmitting the terms of use text to a server; means for the server to pass the received terms of use text to a generation and AI engine to generate a summary; means for formatting the generated summary in a Q & A format; and means for displaying the formatted summary to the 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 the online world, users are often required to agree to terms of use, agreements, and guidelines for various services. However, few users read and understand the details, and when a problem occurs, many users find themselves at a disadvantage due to overlooking the terms. Given this background, there is a need for a method to provide terms of use and agreements in a concise format that does not overlook important points. Conventional technologies lack a mechanism for efficiently and effectively providing such information, making it difficult to prevent potential problems from occurring. Therefore, the objective of the present invention is to provide a system that provides terms of use and agreements in a format that is easy for users to understand, allowing them to understand important points without missing anything. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides a system for summarizing terms of use. Specifically, the system includes a means for a user to input or select terms of use text, a means for transmitting the terms of use text to a server, a means for the server to pass the received terms of use text to a generation AI engine to generate a summary, a means for formatting the generated summary in a Q&A format, and a means for displaying the formatted summary to the user. The system also includes a means for inputting user feedback on the summary result, transmitting the feedback to the server, and storing the received feedback. Furthermore, the system includes a means for marking particularly important points in a prominent format when generating the summary. This makes it easier for users to understand the important points of the terms of use, preventing unexpected problems from occurring.

[0006] "Terms of Use Text" is a document that describes the rules and conditions for using a service that users must agree to.

[0007] "User" means any person or entity who uses the Service and acknowledges the contents of the Terms of Use text.

[0008] "Generative AI Engine" means an artificial intelligence program or system used to summarize the Terms of Use text and display it in a Q&A format.

[0009] A "summary" is a concise summary of a long piece of text, extracting the important points and expressing them in a short form.

[0010] "Q&A format" is a method of presenting information in the form of a question (Q) and its corresponding answer (A).

[0011] "Feedback" refers to the user's opinions and evaluations of the summary results, and is information that is sent to the server and stored.

[0012] "Markup" is a method of adding visual effects to emphasize or highlight specific parts when generating a summary.

[0013] The "server" is a computer system that receives the terms of use text sent from the terminal, passes it to a generative AI engine to generate a summary, and returns the result to the terminal.

[0014] The "terminal" is an operating device on which a user views the terms of use text and clicks the "super summary" button, and is a device that communicates with the server to send the terms of use text and receive the summary results.

[0015] "System" refers collectively to a set of means including inputting Terms of Use text, generating summaries, displaying results, and processing feedback. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

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

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

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

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. The system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[0038] Overall system configuration

[0039] User Interface

[0040] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[0041] Terminal side processing

[0042] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it to JSON format, and sends it to the server. User feedback is also sent to the server in JSON format.

[0043] Server-side processing

[0044] The server receives the terms of use text from the device and passes it to the generative AI engine, which analyzes the terms of use text and summarizes the key points in a Q&A format.

[0045] The generated Q&A summary is marked up to highlight important points and sent back to the device from the server, which also receives user feedback and stores it in a database.

[0046] Generative AI engine processing

[0047] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[0048] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[0049] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0050] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[0051] Specific examples

[0052] For example, if you had the following terms of use statement:

[0053] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0054] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[0055] Q1: What do I agree to when using the service?

[0056] A1: Users are deemed to have agreed to these terms and conditions.

[0057] Q2: What are the user's responsibilities?

[0058] A2: The user bears all responsibility regarding this service.

[0059] Q3: What are our rights?

[0060] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0061] The generated Q&A-style summary is displayed on the device, allowing users to easily understand it and avoid missing any important points of the terms of use.

[0062] By using this system, users can improve their understanding and prevent unexpected problems. In this way, the present invention significantly improves understanding of terms of use for various services.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] User action: The user views the terms of use page and clicks the "Super Summary" button.

[0066] Step 2:

[0067] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[0068] Step 3:

[0069] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[0070] Step 4:

[0071] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[0072] Step 5:

[0073] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[0074] Step 6:

[0075] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[0076] Step 7:

[0077] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[0078] Step 8:

[0079] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[0080] Step 9:

[0081] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[0082] Step 10:

[0083] The generative AI engine returns the summary results to the server, which then receives the summary results.

[0084] Step 11:

[0085] The server converts the summary results into JSON format and prepares an HTTP response to send this JSON data back to the device.

[0086] Step 12:

[0087] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[0088] Step 13:

[0089] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[0090] Step 14:

[0091] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[0092] Step 15:

[0093] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[0094] Step 16:

[0095] The user enters their feedback and clicks the submit button. The device detects this action.

[0096] Step 17:

[0097] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[0098] Step 18:

[0099] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[0100] Step 19:

[0101] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[0102] Step 20:

[0103] The server stores the feedback information in a database, which helps improve the generative AI engine.

[0104] Example 1

[0105] 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."

[0106] Conventional terms of use are complex, requiring time and effort for users to understand them. Furthermore, there is a high risk of overlooking important points in the terms of use, and not properly understanding them can lead to various problems. Furthermore, there is no system that allows users to provide feedback on the content of the terms of use, which hinders improvements to the terms of use. To solve these issues, a system is needed that summarizes the terms of use, presents them in a format that users can easily understand, and collects feedback.

[0107] 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.

[0108] In this invention, the server includes a means for a user to input or select terms of use text, a means for converting the terms of use text into a data format and sending it to the server, a means for the server to pass the received terms of use text to a generation AI engine to generate a summary, and a means for formatting the generated summary in a Q&A format. This allows the user to efficiently grasp the key points of the terms of use. The server also includes a means for marking up the generated summary and displaying it to the user, a means for inputting user feedback on the summary result, and a means for converting the feedback into a data format and sending it to the server, receiving and storing the feedback. This makes the contents of the terms of use easier to understand and promotes improvements by utilizing user feedback.

[0109] "Terms of Use Text" is a document that defines the terms of use of the service, prohibited actions, user responsibilities, etc.

[0110] "User" means the operator of a terminal that uses the service and accesses the terms of use page to view information.

[0111] A "server" is a computer system on a network that receives and processes data sent by users.

[0112] The "generative AI engine" is a system that uses an artificial intelligence algorithm to analyze the received terms of use text and automatically generate a summary.

[0113] "Q&A format" is a method of presenting information in the form of questions and answers.

[0114] "Formatting" is the processing of data into a particular shape or form.

[0115] "Markup" is the act of changing formatting to visually emphasize particularly important points.

[0116] "Feedback" is information that users provide with their opinions and evaluations of the summary results.

[0117] A "data format" is a form in which information is structured according to certain rules.

[0118] "Preservation" means the long-term retention of data or information.

[0119] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[0120] User Interface

[0121] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can view the summary results and provide feedback if necessary.

[0122] Terminal side processing

[0123] When the user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into a data format (e.g., JSON format), and sends it to the server. The user's feedback is also sent to the server in a similar data format. The specific data format is as follows:

[0124] json

[0125] {

[0126] "regulation_text": "By using this service, you agree to these terms and conditions..."

[0127] }

[0128] Server-side processing

[0129] The server receives the terms of use text from the device and passes it to the generative AI engine. The generative AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points and is sent back from the server to the device. The server is also responsible for receiving feedback from users and storing it in a database.

[0130] Generative AI engine processing

[0131] The Generative AI Engine uses natural language processing algorithms to analyze the received terms and conditions text and generate a summary based on the following factors:

[0132] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[0133] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0134] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[0135] Specific examples

[0136] For example, if you had the following terms of use statement:

[0137] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0138] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[0139] Q1: What do I agree to when using the service?

[0140] A1: Users are deemed to have agreed to these terms and conditions.

[0141] Q2: What are the user's responsibilities?

[0142] A2: The user bears all responsibility regarding this service.

[0143] Q3: What are our rights?

[0144] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0145] By inputting this prompt into a generative AI model, the content of the terms of use can be analyzed and a summary in a Q&A format that is easy for users to understand can be generated, allowing users to understand the key points of the terms of use without missing anything.

[0146] By using this system, users' understanding can be improved and unexpected problems can be prevented. Furthermore, by utilizing user feedback, the content of the terms of use can be continuously improved, making this a beneficial system for service providers as well.

[0147] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0148] Program processing flow

[0149] Step 1:

[0150] The user accesses the terms of use page using a web browser and clicks the "Super Summary" button.

[0151] Specific behavior:

[0152] A user visits the Terms of Use page, finds the "Super Summary" button on the screen, and clicks it.

[0153] Input: User click action

[0154] Output: Request to launch "Super Summary" function

[0155] Step 2:

[0156] The terminal retrieves the terms of use text from the HTML DOM and converts it to JSON format.

[0157] Specific behavior:

[0158] The terminal script performs DOM manipulation to extract the terms of use text and parses it into JSON format.

[0159] Input: Terms of Use text data

[0160] Output: JSON format data

[0161] json

[0162] {

[0163] "regulation_text": "By using this service, you agree to these terms and conditions..."

[0164] }

[0165] Step 3:

[0166] The device sends the generated JSON data to the server.

[0167] Specific behavior:

[0168] The device uses an HTTP POST request to send JSON data to a server with a pre-configured endpoint.

[0169] Input: JSON format data

[0170] Output: Request data sent to the server

[0171] Step 4:

[0172] The server analyzes the JSON data received from the device and passes it to the generative AI engine.

[0173] Specific behavior:

[0174] The server parses the incoming request, extracts the terms of use text from the payload, and passes it to the generative AI engine.

[0175] Input: JSON data sent from the terminal

[0176] Output: Terms of Use text passed to the generative AI engine

[0177] Step 5:

[0178] The generative AI engine analyzes the terms of use text and summarizes key points in a Q&A format.

[0179] Specific behavior:

[0180] The generative AI engine uses natural language processing algorithms to extract key points in the text and convert it into a question and answer format.

[0181] Input: Terms of Use Text

[0182] Output: Q&A style summary

[0183] Q1: What do I agree to when using the service?

[0184] A1: Users are deemed to have agreed to these terms and conditions.

[0185] Step 6:

[0186] The generative AI engine marks up the generated Q&A-style summary and sends it back to the server.

[0187] Specific behavior:

[0188] Important points in the generated Q&A are marked up and visually emphasized by changing font size and color, etc.

[0189] Input: Q&A summary

[0190] Output: A marked-up Q&A summary

[0191] Step 7:

[0192] The server receives the summary result and sends it back to the terminal.

[0193] Specific behavior:

[0194] The server converts the received summary results into JSON format and returns it to the terminal as an HTTP response.

[0195] Input: A marked-up Q&A summary

[0196] Output: Response data to the terminal

[0197] Step 8:

[0198] The terminal displays the summary results on the screen.

[0199] Specific behavior:

[0200] The terminal embeds the received summary data into HTML and displays it on a web page.

[0201] Input: Response data from the server

[0202] Output: Summary results displayed on screen

[0203] Step 9:

[0204] The user views the displayed summary results and provides feedback.

[0205] Specific behavior:

[0206] The user checks the summary results and fills in their opinions and evaluations in the feedback form.

[0207] Input: User feedback input

[0208] Output: Feedback data

[0209] Step 10:

[0210] The device converts the feedback into JSON format and sends it to the server.

[0211] Specific behavior:

[0212] The device parses the feedback form data into JSON format and sends it to the server as an HTTP POST request.

[0213] Input: Feedback data

[0214] Output: Feedback data in JSON format sent to the server

[0215] Step 11:

[0216] The server receives the feedback and stores it in a database.

[0217] Specific behavior:

[0218] The server analyzes the received feedback data and stores it in a database. Feedback is used to improve the terms of use.

[0219] Input: Feedback data sent from the device

[0220] Output: Feedback data stored in a database

[0221] (Application example 1)

[0222] 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."

[0223] In conventional systems for terms of use, it was difficult for users to read the terms in detail, which meant they could miss important content. Furthermore, because the terms of use were complex and difficult to understand, users were unable to obtain sufficient information when using the service, which led to problems. Furthermore, for electronic payment services, it is extremely important for users to quickly understand the terms of use, and an effective method to support this was needed.

[0224] 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.

[0225] In this invention, the server includes: a means for a user to input or select terms of use text; a means for passing the terms of use text to a generative AI model to generate a summary; a means for formatting the generated summary in a question-and-answer format; a means for a user to access a terms of use page in an electronic payment service and concisely display the summary of the terms of use; a means for visually highlighting important points upon request; and a means for sending user feedback regarding the terms of use to the server and storing the received feedback in a database. This allows users to quickly and concisely understand the terms of use and grasp important points without missing any. Furthermore, collecting and storing user feedback can improve users' understanding of the terms of use and prevent problems from occurring.

[0226] "Terms of Use" refers to a set of conditions and rules agreed upon between users and providers when using a service.

[0227] "Summarizing" refers to summarizing a long piece of text or content into a concise, easy-to-understand format.

[0228] A "generative AI model" is a type of artificial intelligence program that uses natural language processing to understand text and convert it into a summary or other format.

[0229] The "question and answer format" is a method of displaying specific answers to specific questions in a set, making the information easier to understand.

[0230] "Electronic payment services" refers to payment services conducted via the Internet or other communications networks.

[0231] "Feedback" refers to reactions such as opinions, impressions, and questions received from users.

[0232] A "database" is a system that stores large amounts of data in an organized manner and manages them so that they can be easily searched and used.

[0233] "Markup" refers to the addition of visual effects to emphasize particular parts of text.

[0234] "Terminal" means an electronic device used by a user to enter or receive information.

[0235] A "server" refers to a computer system that provides data and services over a network.

[0236] The system for implementing this invention includes a terminal used by a user, a server, and a generative AI model. Each component and its operation will be described in detail below.

[0237] User Device

[0238] The devices used by users are electronic devices such as PCs, smartphones, and tablets. Using these devices, users access the terms of use page and click the "Super Summary" button. At this time, the user's device retrieves the terms of use text, converts it into JSON format, and sends it to the server.

[0239] server

[0240] The server receives the terms of use text sent from the user's device and passes it to the generative AI model. The generative AI model then analyzes the received text and generates a summary in the form of questions and answers. The generated summary is marked up to highlight particularly important points and is sent back to the user's device via the server. The server also receives feedback from users and stores it in a database.

[0241] Generative AI Models

[0242] The generative AI model uses a natural language processing algorithm to analyze the received terms of use text and generate a summary in the form of questions and answers based on the following elements: First, it extracts the important terms of use, then converts the summary into a question and answer format, and finally it applies markup to visually highlight particularly important points.

[0243] Specific examples

[0244] For example, if your terms of use statement looks like this:

[0245] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0246] The generative AI model parses this terms of use statement and generates a summary in the form of questions and answers, as follows:

[0247] Q1: What do I agree to when using the service?

[0248] A1: Users are deemed to have agreed to these terms and conditions.

[0249] Q2: What are the user's responsibilities?

[0250] A2: The user bears all responsibility regarding this service.

[0251] Q3: What are our rights?

[0252] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0253] In this way, users can concisely understand the key points of the terms of service. By inputting this prompt into a generative AI model, a summary in the form of questions and answers can be obtained. Through this entire process, users' understanding of the terms of service can be improved, preventing problems when using the service.

[0254] Hardware and software used

[0255] This system is implemented using the following hardware and software:

[0256] User devices: PC, smartphone, tablet

[0257] Server: Web server (web framework such as Flask)

[0258] Generative AI models: Natural language processing libraries (e.g., the pipeline function in the Transformers library)

[0259] With the above configuration, the present invention has the effect of helping users quickly understand the terms of use.

[0260] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0261] Step 1:

[0262] A user visits the Terms of Use page and clicks the "Super Summary" button.

[0263] Input: The "Super Summary" button clicked by the user

[0264] Output: The user device retrieves the terms of use text and prepares to send it to the server

[0265] Specific operation: When a user clicks the "Super Summary" button on the Terms of Use page, the user's device retrieves the Terms of Use text on the page and converts it into JSON format.

[0266] Step 2:

[0267] The device sends the terms of use text to the server.

[0268] Input: Terms of Use text in JSON format

[0269] Output: Terms of Use text sent to server

[0270] Specific operation: The terminal sends JSON data containing the original terms of use text to the server.

[0271] Step 3:

[0272] The server passes the received terms of use text to the generative AI model.

[0273] Input: Terms of Use text in JSON format sent to the server

[0274] Output: Input data to a generative AI model

[0275] Specific operation: The server parses the received terms of use text and converts its content into a format that can be input into the generative AI model.

[0276] Step 4:

[0277] A generative AI model analyzes the terms of use text and generates a summary in the form of questions and answers.

[0278] Input: Terms of Use text to be parsed

[0279] Output: Question and answer summary

[0280] How it works: The generative AI model uses natural language processing techniques to extract key points and summarize them in a question and answer format.

[0281] Step 5:

[0282] Use markup to visually emphasize important points.

[0283] Input: Question and answer summary

[0284] Output: A marked-up summary with the most important points highlighted

[0285] Specific behavior: Highlights the important parts of the generated question and answer text by making them bold or changing the color.

[0286] Step 6:

[0287] The server returns the marked-up summary to the user terminal.

[0288] Input: Marked up summary text

[0289] Output: Data sent to the user's device for display

[0290] Specific operation: The server sends the marked-up summary in JSON format to the user terminal.

[0291] Step 7:

[0292] The user views the summary results and provides feedback if desired.

[0293] Input: A summary of the questions and answers presented

[0294] Output: User feedback

[0295] Specific operation: The user checks the displayed summary and uses the interface for inputting feedback to send comments to the server.

[0296] Step 8:

[0297] The server receives the feedback from the user and stores it in a database.

[0298] Input: Feedback data from users

[0299] Output: Feedback stored in a database

[0300] Specific operation: The server analyzes the received feedback and stores it in a database in an appropriate format.

[0301] 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.

[0302] This invention is a system that allows users to view terms of use and regulations in a concise and easy-to-understand format. The system uses a server, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[0303] Overall system configuration

[0304] User Interface

[0305] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[0306] Terminal side processing

[0307] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into JSON format, and sends it to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[0308] Server-side processing

[0309] The server receives the terms of use text from the device and passes it to the generation AI engine. The generation AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points.

[0310] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[0311] Emotion engine processing

[0312] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize their emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[0313] Generative AI engine processing

[0314] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[0315] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[0316] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0317] 3. Markup: Add visual effects to highlight particularly important points.

[0318] Specific examples

[0319] For example, if you had the following terms of use statement:

[0320] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0321] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[0322] Q1: What do I agree to when using the service?

[0323] A1: Users are deemed to have agreed to these terms and conditions.

[0324] Q2: What are the user's responsibilities?

[0325] A2: The user bears all responsibility regarding this service.

[0326] Q3: What are our rights?

[0327] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0328] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary will remain concise.

[0329] By using this system, users can easily understand the important points of the terms of use and receive information that is tailored to their emotional state, making it possible to prevent unexpected problems. In this way, the present invention significantly improves understanding of the terms of use for various services.

[0330] The processing flow will be explained below.

[0331] Step 1:

[0332] User action: The user views the terms of use page and clicks the "Super Summary" button.

[0333] Step 2:

[0334] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[0335] Step 3:

[0336] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[0337] Step 4:

[0338] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[0339] Step 5:

[0340] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[0341] Step 6:

[0342] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[0343] Step 7:

[0344] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[0345] Step 8:

[0346] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[0347] Step 9:

[0348] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[0349] Step 10:

[0350] The generative AI engine returns the summary results to the server, which then receives the summary results.

[0351] Step 11:

[0352] The server passes the summary results to the emotion engine, which adjusts the summary results based on the user's emotional state.

[0353] Step 12:

[0354] The server works with an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice to identify the emotional state.

[0355] Step 13:

[0356] An emotion engine adjusts summary results based on the user's emotional state, for example adding more detailed descriptions if the user is feeling anxious.

[0357] Step 14:

[0358] The emotion engine returns the adjusted summary result to the server, which then prepares the final summary result for sending back to the terminal.

[0359] Step 15:

[0360] The server converts the adjusted summary results into JSON format, and prepares an HTTP response to send this JSON data back to the device.

[0361] Step 16:

[0362] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[0363] Step 17:

[0364] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[0365] Step 18:

[0366] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[0367] Step 19:

[0368] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[0369] Step 20:

[0370] The user enters their feedback and clicks the submit button. The device detects this action.

[0371] Step 21:

[0372] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[0373] Step 22:

[0374] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[0375] Step 23:

[0376] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[0377] Step 24:

[0378] The server stores the feedback information in a database, which helps improve the generative AI engine.

[0379] Example 2

[0380] 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."

[0381] Terms of use are generally long and difficult for users to understand in their entirety. Also, depending on the user's emotional state, certain information may seem overly important, which can hinder comprehension. Therefore, it is necessary to make the terms of use easy for users to understand by making them concise and adjusting the display to suit the user's emotional state.

[0382] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input or select a terms of use text, a means for transmitting the terms of use text to the server, a means for the server to pass the received terms of use text to a generation AI engine and generate a summary, a means for formatting the generated summary in a Q&A format, a means for displaying the formatted summary to the user, a means for analyzing the user's emotional state, and a means for adjusting the summary based on the emotional state. This makes it possible to concisely understand the important points of the terms of use and to provide an appropriate summary according to the user's emotional state.

[0383] "User" means an end user who uses the System to view or summarize the Terms of Use.

[0384] "Terms of Use Text" refers to the text that describes the terms and conditions of use and rules of the service that users view.

[0385] "Means" refer to hardware and software components for realizing a specific function.

[0386] A "server" is a computer system that processes information and provides data by communicating with terminals.

[0387] A "generative AI engine" is an artificial intelligence that analyzes received text and generates a summary.

[0388] "Q&A format" refers to a format in which text content is presented in the form of questions and answers.

[0389] "Display means" means an interface that allows a user to visually confirm information provided by the system.

[0390] "Emotional state" refers to the user's current psychological state, and is information inferred from facial expressions, voice, and text input patterns.

[0391] "Analysis methods" are algorithms or processes that analyze data and extract specific information.

[0392] "Means for adjusting" refers to the ability to change or optimize content based on acquired information.

[0393] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server, a terminal, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[0394] System Configuration

[0395] User Interface

[0396] Users access the terms of use page using their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then review the summary results and provide feedback if necessary.

[0397] Terminal side processing

[0398] When the user clicks the "Super Summary" button, the device retrieves the terms of use text from the web page from the Document Object Model (DOM). The retrieved text is converted into JSON format and sent to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[0399] Server-side processing

[0400] The server passes the terms of use text received from the device to the generation AI engine. The generation AI engine analyzes the text using a natural language processing algorithm and summarizes the important points in a Q&A format. The generated Q&A summary result is marked up to highlight particularly important points.

[0401] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[0402] Emotion engine processing

[0403] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize the user's emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[0404] Generative AI engine processing

[0405] The generative AI engine uses natural language processing algorithms to summarize the received terms of use text in a Q&A format based on the following elements:

[0406] 1. Extraction of important terms and conditions: Extract important points such as terms of use of the service, prohibited actions, and user responsibilities.

[0407] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0408] 3. Markup: Add visual effects to highlight particularly important points.

[0409] Specific examples

[0410] For example, if your terms of use statement is:

[0411] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0412] The generative AI engine summarizes this sentence in a Q&A format as follows:

[0413] Q1: What do I agree to when using the service?

[0414] A1: Users are deemed to have agreed to these terms and conditions.

[0415] Q2: What are the user's responsibilities?

[0416] A2: The user bears all responsibility regarding this service.

[0417] Q3: What are our rights?

[0418] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0419] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary remains concise.

[0420] By using this system, users can easily understand the important points of the terms of use and receive information that is appropriate to their emotional state, making it possible to prevent unexpected problems from occurring.

[0421] Prompt Sentence Examples

[0422] The prompts for inputting natural language to a generative AI model are as follows:

[0423] "Please summarize the following terms of use in a Q&A format.

[0424] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0425] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0426] Step 1:

[0427] The user clicks the "Super Summary" button.

[0428] Input: User clicks on the "Super Summary" button

[0429] Output: A JavaScript event is triggered

[0430] Specifically, the user clicks the "Super Summary" button displayed on the terms of use page in a web browser. This action causes the JavaScript event listener to detect the click event and initiate the next processing step.

[0431] Step 2:

[0432] The terminal obtains the terms of use text, converts it to JSON format, and sends it to the server.

[0433] Input: The DOM of the web page after the user clicks

[0434] Output: Terms of Use text data in JSON format

[0435] Specifically, the device uses JavaScript to retrieve the terms of use text from the page's DOM, converts the retrieved text into JSON format using the JSON.stringify() function, and then sends the converted JSON data to the server using the fetch API or XMLHttpRequest.

[0436] Step 3:

[0437] The server passes the terms of use text to the generation AI engine.

[0438] Input: Terms of Use text data in JSON format sent from the terminal

[0439] Output: API request for the generative AI engine

[0440] Specifically, the server parses the received JSON data and sends an HTTP request to the API endpoint of the generative AI engine, including any necessary authentication information and parameters.

[0441] Step 4:

[0442] The generative AI engine generates a summary and returns it to the server.

[0443] Input: API request and terms of use text data sent from the server

[0444] Output: Text data summarized in Q&A format

[0445] Specifically, the generative AI engine uses natural language processing algorithms to analyze the text and extract key points, which are then converted into a question and answer format and sent back to the server as an API response.

[0446] Step 5:

[0447] The server passes the summary results to the emotion engine.

[0448] Input: Q&A format summary data returned from the generative AI engine

[0449] Output: API request for the emotion engine

[0450] Specifically, the server sends the received summary results to the emotion engine API as an HTTP request, which also includes the user's identification information and summary data.

[0451] Step 6:

[0452] The emotion engine analyzes the user's emotions and adjusts the summary content.

[0453] Input: User identification information and summary data in Q&A format sent from the server

[0454] Output: Adjusted summary data

[0455] Specifically, the emotion engine analyzes data acquired from cameras and microphones to determine the user's emotional state. Depending on the user's emotion, it adjusts the summary results, adding or removing information. The adjusted summary data is then sent back to the server.

[0456] Step 7:

[0457] The server sends the final summary result to the terminal.

[0458] Input: Adjusted summary data returned from the sentiment engine

[0459] Output: HTTP response for the device

[0460] Specifically, the server receives the adjusted summary data and sends it to the terminal as an HTTP response, which includes the formatted summary data.

[0461] Step 8:

[0462] The terminal displays the summary results for the user to view.

[0463] Input: Adjusted summary data received from the server

[0464] Output: A user-visible summary of the results

[0465] Specifically, the device analyzes the received summary data and displays it on the screen. The summary is presented in a Q&A format to make it easier for users to understand visually. Users can review the displayed content and provide feedback if necessary.

[0466] (Application example 2)

[0467] 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."

[0468] Existing systems make it difficult for users to understand lengthy and complex terms and conditions. Furthermore, the system does not adjust the summaries based on the user's emotional state, preventing users from feeling comfortable understanding the terms and conditions. Furthermore, the system does not adequately collect and utilize feedback on the terms and conditions, preventing the accuracy and usefulness of the summaries from being improved.

[0469] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for the user to input or select terms of use text, means for transmitting the terms of use text to the server, means for passing the terms of use text received by the server to a generation AI engine to generate a summary, means for formatting the generated summary in a Q&A format, means for displaying the formatted summary to the user, means for analyzing the user's emotional state, and means for adjusting the summary based on the user's emotional state. This allows the user to easily understand the terms of use and provides information according to their emotions, preventing unexpected problems from occurring.

[0470] "User" means a person who uses an information system or service.

[0471] "Terms of Use Text" refers to a document that describes the conditions and rules for using the service.

[0472] A "server" is a computer system that is connected to a network and stores and processes data.

[0473] A "generative AI engine" is an artificial intelligence program that analyzes input text data and performs summarization and information generation.

[0474] A "summary" is a short summary of important information extracted from a long piece of text.

[0475] "Q&A format" refers to a format that presents information in the form of questions and answers.

[0476] "Display" means visually conveying data or information to a user.

[0477] An "emotional state" is the emotional or psychological state that a person is feeling.

[0478] "Analysis" means examining data or information in detail to understand its content and clarify its structure and meaning.

[0479] "Adjustment" means changing data and system settings to suit a purpose and bringing them into an optimal state.

[0480] "Feedback" means collecting opinions and evaluation information from users and using it to improve systems and services.

[0481] The present invention provides a system for providing terms of use in a simple and understandable format. To implement this system, the following hardware and software are used.

[0482] The core hardware of this system includes a terminal (such as a smartphone) that accepts user input and a server that processes data. Users use this system by accessing the terms of use page using a terminal such as a smartphone and clicking the "Super Summary" button. The terminal is responsible for sending the terms of use text and feedback information to the server.

[0483] The following software is implemented on the server side:

[0484] 1. Generative AI engine:

[0485] Using Google's BERT and OpenAI's GPT, the received terms of use text is analyzed, key points are extracted, and summarized in a Q&A format.

[0486] This summary is marked up to highlight important points.

[0487] 2. Emotion Engine:

[0488] It uses Microsoft Azure's Face API and Google Cloud Speech-to-Text API to analyze the user's emotional state.

[0489] It collects facial images and voice data from the user and adjusts the summary results according to the user's emotional state, such as whether they are feeling safe or anxious.

[0490] The server passes the terms of use text to a generative AI engine to generate a summary, then sends the generated Q&A-style summary to an emotion engine to adjust it based on the user's emotional state. The adjusted summary is then sent back to the device and displayed to the user. The user can view the summary and provide feedback if necessary, which is then received by the server and stored in a database.

[0491] For example:

[0492] For example, a user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. The server receives this face image and the terms of use text, and the generative AI engine first analyzes the terms of use text to generate a Q&A style summary. The emotion engine then analyzes the face image and adds a detailed explanation to the summary if the user feels uneasy. As a result, the summary is displayed to the user in the following format:

[0493] "Generate a summary of the following text:

[0494] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0495] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0496] Step 1:

[0497] The user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. In response to this action, the device obtains the terms of use text and their face image. The input is the user's face image and the terms of use text, and the output is the data converted into JSON format and sent to the server.

[0498] Step 2:

[0499] The server receives the JSON data from the device. The input is the JSON data sent from the device, and the output is the terms of use text and data that individually extracts the user's facial image. Here, the terms of use text is passed to the generative AI engine.

[0500] Step 3:

[0501] The generative AI engine analyzes the terms of use text, extracts key points, and summarizes them in a Q&A format. The input is the terms of use text, and the output is summary data in a Q&A format. The generative AI engine does this using a natural language processing algorithm.

[0502] Step 4:

[0503] The generated Q&A-style summary is passed from the server to the emotion engine. The input is the Q&A-style summary data and the user's facial image, and the output is the adjusted summary data. The emotion engine analyzes the user's facial image and adjusts the summary based on the user's emotional state.

[0504] Step 5:

[0505] The server receives the summary data adjusted by the emotion engine and sends it back to the device. The input is the adjusted summary data, and the output is the final summary data sent to the device. This allows the user to view the summary results on their smartphone.

[0506] Step 6:

[0507] The user views the displayed summary results and provides feedback. The input is the user's feedback, and the output is the feedback data sent to the server in JSON format.

[0508] Step 7:

[0509] The server receives feedback from users and stores it in a database. The input is the feedback data sent from the device, and the output is the feedback information stored in the database. This allows the system to improve the accuracy of future summary generation.

[0510] 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.

[0511] 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.

[0512] 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.

[0513] [Second embodiment]

[0514] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0515] 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.

[0516] 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).

[0517] 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.

[0518] 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.

[0519] 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).

[0520] 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.

[0521] 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.

[0522] 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.

[0523] 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.

[0524] 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.

[0525] 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."

[0526] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. The system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[0527] Overall system configuration

[0528] User Interface

[0529] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[0530] Terminal side processing

[0531] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it to JSON format, and sends it to the server. User feedback is also sent to the server in JSON format.

[0532] Server-side processing

[0533] The server receives the terms of use text from the device and passes it to the generative AI engine, which analyzes the terms of use text and summarizes the key points in a Q&A format.

[0534] The generated Q&A summary is marked up to highlight important points and sent back to the device from the server, which also receives user feedback and stores it in a database.

[0535] Generative AI engine processing

[0536] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[0537] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[0538] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0539] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[0540] Specific examples

[0541] For example, if you had the following terms of use statement:

[0542] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0543] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[0544] Q1: What do I agree to when using the service?

[0545] A1: Users are deemed to have agreed to these terms and conditions.

[0546] Q2: What are the user's responsibilities?

[0547] A2: The user bears all responsibility regarding this service.

[0548] Q3: What are our rights?

[0549] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0550] The generated Q&A-style summary is displayed on the device, allowing users to easily understand it and avoid missing any important points of the terms of use.

[0551] By using this system, users can improve their understanding and prevent unexpected problems. In this way, the present invention significantly improves understanding of terms of use for various services.

[0552] The processing flow will be explained below.

[0553] Step 1:

[0554] User action: The user views the terms of use page and clicks the "Super Summary" button.

[0555] Step 2:

[0556] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[0557] Step 3:

[0558] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[0559] Step 4:

[0560] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[0561] Step 5:

[0562] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[0563] Step 6:

[0564] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[0565] Step 7:

[0566] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[0567] Step 8:

[0568] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[0569] Step 9:

[0570] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[0571] Step 10:

[0572] The generative AI engine returns the summary results to the server, which then receives the summary results.

[0573] Step 11:

[0574] The server converts the summary results into JSON format and prepares an HTTP response to send this JSON data back to the device.

[0575] Step 12:

[0576] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[0577] Step 13:

[0578] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[0579] Step 14:

[0580] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[0581] Step 15:

[0582] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[0583] Step 16:

[0584] The user enters their feedback and clicks the submit button. The device detects this action.

[0585] Step 17:

[0586] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[0587] Step 18:

[0588] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[0589] Step 19:

[0590] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[0591] Step 20:

[0592] The server stores the feedback information in a database, which helps improve the generative AI engine.

[0593] Example 1

[0594] 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."

[0595] Conventional terms of use are complex, requiring time and effort for users to understand them. Furthermore, there is a high risk of overlooking important points in the terms of use, and not properly understanding them can lead to various problems. Furthermore, there is no system that allows users to provide feedback on the content of the terms of use, which hinders improvements to the terms of use. To solve these issues, a system is needed that summarizes the terms of use, presents them in a format that users can easily understand, and collects feedback.

[0596] 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.

[0597] In this invention, the server includes a means for a user to input or select terms of use text, a means for converting the terms of use text into a data format and sending it to the server, a means for the server to pass the received terms of use text to a generation AI engine to generate a summary, and a means for formatting the generated summary in a Q&A format. This allows the user to efficiently grasp the key points of the terms of use. The server also includes a means for marking up the generated summary and displaying it to the user, a means for inputting user feedback on the summary result, and a means for converting the feedback into a data format and sending it to the server, receiving and storing the feedback. This makes the contents of the terms of use easier to understand and promotes improvements by utilizing user feedback.

[0598] "Terms of Use Text" is a document that defines the terms of use of the service, prohibited actions, user responsibilities, etc.

[0599] "User" means the operator of a terminal that uses the service and accesses the terms of use page to view information.

[0600] A "server" is a computer system on a network that receives and processes data sent by users.

[0601] The "generative AI engine" is a system that uses an artificial intelligence algorithm to analyze the received terms of use text and automatically generate a summary.

[0602] "Q&A format" is a method of presenting information in the form of questions and answers.

[0603] "Formatting" is the processing of data into a particular shape or form.

[0604] "Markup" is the act of changing formatting to visually emphasize particularly important points.

[0605] "Feedback" is information that users provide with their opinions and evaluations of the summary results.

[0606] A "data format" is a form in which information is structured according to certain rules.

[0607] "Preservation" means the long-term retention of data or information.

[0608] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[0609] User Interface

[0610] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can view the summary results and provide feedback if necessary.

[0611] Terminal side processing

[0612] When the user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into a data format (e.g., JSON format), and sends it to the server. The user's feedback is also sent to the server in a similar data format. The specific data format is as follows:

[0613] json

[0614] {

[0615] "regulation_text": "By using this service, you agree to these terms and conditions..."

[0616] }

[0617] Server-side processing

[0618] The server receives the terms of use text from the device and passes it to the generative AI engine. The generative AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points and is sent back from the server to the device. The server is also responsible for receiving feedback from users and storing it in a database.

[0619] Generative AI engine processing

[0620] The Generative AI Engine uses natural language processing algorithms to analyze the received terms and conditions text and generate a summary based on the following factors:

[0621] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[0622] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0623] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[0624] Specific examples

[0625] For example, if you had the following terms of use statement:

[0626] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0627] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[0628] Q1: What do I agree to when using the service?

[0629] A1: Users are deemed to have agreed to these terms and conditions.

[0630] Q2: What are the user's responsibilities?

[0631] A2: The user bears all responsibility regarding this service.

[0632] Q3: What are our rights?

[0633] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0634] By inputting this prompt into a generative AI model, the content of the terms of use can be analyzed and a summary in a Q&A format that is easy for users to understand can be generated, allowing users to understand the key points of the terms of use without missing anything.

[0635] By using this system, users' understanding can be improved and unexpected problems can be prevented. Furthermore, by utilizing user feedback, the content of the terms of use can be continuously improved, making this a beneficial system for service providers as well.

[0636] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0637] Program processing flow

[0638] Step 1:

[0639] The user accesses the terms of use page using a web browser and clicks the "Super Summary" button.

[0640] Specific behavior:

[0641] A user visits the Terms of Use page, finds the "Super Summary" button on the screen, and clicks it.

[0642] Input: User click action

[0643] Output: Request to launch "Super Summary" function

[0644] Step 2:

[0645] The terminal retrieves the terms of use text from the HTML DOM and converts it to JSON format.

[0646] Specific behavior:

[0647] The terminal script performs DOM manipulation to extract the terms of use text and parses it into JSON format.

[0648] Input: Terms of Use text data

[0649] Output: JSON format data

[0650] json

[0651] {

[0652] "regulation_text": "By using this service, you agree to these terms and conditions..."

[0653] }

[0654] Step 3:

[0655] The device sends the generated JSON data to the server.

[0656] Specific behavior:

[0657] The device uses an HTTP POST request to send JSON data to a server with a pre-configured endpoint.

[0658] Input: JSON format data

[0659] Output: Request data sent to the server

[0660] Step 4:

[0661] The server analyzes the JSON data received from the device and passes it to the generative AI engine.

[0662] Specific behavior:

[0663] The server parses the incoming request, extracts the terms of use text from the payload, and passes it to the generative AI engine.

[0664] Input: JSON data sent from the terminal

[0665] Output: Terms of Use text passed to the generative AI engine

[0666] Step 5:

[0667] The generative AI engine analyzes the terms of use text and summarizes key points in a Q&A format.

[0668] Specific behavior:

[0669] The generative AI engine uses natural language processing algorithms to extract key points in the text and convert it into a question and answer format.

[0670] Input: Terms of Use Text

[0671] Output: Q&A style summary

[0672] Q1: What do I agree to when using the service?

[0673] A1: Users are deemed to have agreed to these terms and conditions.

[0674] Step 6:

[0675] The generative AI engine marks up the generated Q&A-style summary and sends it back to the server.

[0676] Specific behavior:

[0677] Important points in the generated Q&A are marked up and visually emphasized by changing font size and color, etc.

[0678] Input: Q&A summary

[0679] Output: A marked-up Q&A summary

[0680] Step 7:

[0681] The server receives the summary result and sends it back to the terminal.

[0682] Specific behavior:

[0683] The server converts the received summary results into JSON format and returns it to the terminal as an HTTP response.

[0684] Input: A marked-up Q&A summary

[0685] Output: Response data to the terminal

[0686] Step 8:

[0687] The terminal displays the summary results on the screen.

[0688] Specific behavior:

[0689] The terminal embeds the received summary data into HTML and displays it on a web page.

[0690] Input: Response data from the server

[0691] Output: Summary results displayed on screen

[0692] Step 9:

[0693] The user views the displayed summary results and provides feedback.

[0694] Specific behavior:

[0695] The user checks the summary results and fills in their opinions and evaluations in the feedback form.

[0696] Input: User feedback input

[0697] Output: Feedback data

[0698] Step 10:

[0699] The device converts the feedback into JSON format and sends it to the server.

[0700] Specific behavior:

[0701] The device parses the feedback form data into JSON format and sends it to the server as an HTTP POST request.

[0702] Input: Feedback data

[0703] Output: Feedback data in JSON format sent to the server

[0704] Step 11:

[0705] The server receives the feedback and stores it in a database.

[0706] Specific behavior:

[0707] The server analyzes the received feedback data and stores it in a database. Feedback is used to improve the terms of use.

[0708] Input: Feedback data sent from the device

[0709] Output: Feedback data stored in a database

[0710] (Application example 1)

[0711] 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."

[0712] In conventional systems for terms of use, it was difficult for users to read the terms in detail, which meant they could miss important content. Furthermore, because the terms of use were complex and difficult to understand, users were unable to obtain sufficient information when using the service, which led to problems. Furthermore, for electronic payment services, it is extremely important for users to quickly understand the terms of use, and an effective method to support this was needed.

[0713] 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.

[0714] In this invention, the server includes: a means for a user to input or select terms of use text; a means for passing the terms of use text to a generative AI model to generate a summary; a means for formatting the generated summary in a question-and-answer format; a means for a user to access a terms of use page in an electronic payment service and concisely display the summary of the terms of use; a means for visually highlighting important points upon request; and a means for sending user feedback regarding the terms of use to the server and storing the received feedback in a database. This allows users to quickly and concisely understand the terms of use and grasp important points without missing any. Furthermore, collecting and storing user feedback can improve users' understanding of the terms of use and prevent problems from occurring.

[0715] "Terms of Use" refers to a set of conditions and rules agreed upon between users and providers when using a service.

[0716] "Summarizing" refers to summarizing a long piece of text or content into a concise, easy-to-understand format.

[0717] A "generative AI model" is a type of artificial intelligence program that uses natural language processing to understand text and convert it into a summary or other format.

[0718] The "question and answer format" is a method of displaying specific answers to specific questions in a set, making the information easier to understand.

[0719] "Electronic payment services" refers to payment services conducted via the Internet or other communications networks.

[0720] "Feedback" refers to reactions such as opinions, impressions, and questions received from users.

[0721] A "database" is a system that stores large amounts of data in an organized manner and manages them so that they can be easily searched and used.

[0722] "Markup" refers to the addition of visual effects to emphasize particular parts of text.

[0723] "Terminal" means an electronic device used by a user to enter or receive information.

[0724] A "server" refers to a computer system that provides data and services over a network.

[0725] The system for implementing this invention includes a terminal used by a user, a server, and a generative AI model. Each component and its operation will be described in detail below.

[0726] User Device

[0727] The devices used by users are electronic devices such as PCs, smartphones, and tablets. Using these devices, users access the terms of use page and click the "Super Summary" button. At this time, the user's device retrieves the terms of use text, converts it into JSON format, and sends it to the server.

[0728] server

[0729] The server receives the terms of use text sent from the user's device and passes it to the generative AI model. The generative AI model then analyzes the received text and generates a summary in the form of questions and answers. The generated summary is marked up to highlight particularly important points and is sent back to the user's device via the server. The server also receives feedback from users and stores it in a database.

[0730] Generative AI Models

[0731] The generative AI model uses a natural language processing algorithm to analyze the received terms of use text and generate a summary in the form of questions and answers based on the following elements: First, it extracts the important terms of use, then converts the summary into a question and answer format, and finally it applies markup to visually highlight particularly important points.

[0732] Specific examples

[0733] For example, if your terms of use statement looks like this:

[0734] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0735] The generative AI model parses this terms of use statement and generates a summary in the form of questions and answers, as follows:

[0736] Q1: What do I agree to when using the service?

[0737] A1: Users are deemed to have agreed to these terms and conditions.

[0738] Q2: What are the user's responsibilities?

[0739] A2: The user bears all responsibility regarding this service.

[0740] Q3: What are our rights?

[0741] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0742] In this way, users can concisely understand the key points of the terms of service. By inputting this prompt into a generative AI model, a summary in the form of questions and answers can be obtained. Through this entire process, users' understanding of the terms of service can be improved, preventing problems when using the service.

[0743] Hardware and software used

[0744] This system is implemented using the following hardware and software:

[0745] User devices: PC, smartphone, tablet

[0746] Server: Web server (web framework such as Flask)

[0747] Generative AI models: Natural language processing libraries (e.g., the pipeline function in the Transformers library)

[0748] With the above configuration, the present invention has the effect of helping users quickly understand the terms of use.

[0749] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0750] Step 1:

[0751] A user visits the Terms of Use page and clicks the "Super Summary" button.

[0752] Input: The "Super Summary" button clicked by the user

[0753] Output: The user device retrieves the terms of use text and prepares to send it to the server

[0754] Specific operation: When a user clicks the "Super Summary" button on the Terms of Use page, the user's device retrieves the Terms of Use text on the page and converts it into JSON format.

[0755] Step 2:

[0756] The device sends the terms of use text to the server.

[0757] Input: Terms of Use text in JSON format

[0758] Output: Terms of Use text sent to server

[0759] Specific operation: The terminal sends JSON data containing the original terms of use text to the server.

[0760] Step 3:

[0761] The server passes the received terms of use text to the generative AI model.

[0762] Input: Terms of Use text in JSON format sent to the server

[0763] Output: Input data to a generative AI model

[0764] Specific operation: The server parses the received terms of use text and converts its content into a format that can be input into the generative AI model.

[0765] Step 4:

[0766] A generative AI model analyzes the terms of use text and generates a summary in the form of questions and answers.

[0767] Input: Terms of Use text to be parsed

[0768] Output: Question and answer summary

[0769] How it works: The generative AI model uses natural language processing techniques to extract key points and summarize them in a question and answer format.

[0770] Step 5:

[0771] Use markup to visually emphasize important points.

[0772] Input: Question and answer summary

[0773] Output: A marked-up summary with the most important points highlighted

[0774] Specific behavior: Highlights the important parts of the generated question and answer text by making them bold or changing the color.

[0775] Step 6:

[0776] The server returns the marked-up summary to the user terminal.

[0777] Input: Marked up summary text

[0778] Output: Data sent to the user's device for display

[0779] Specific operation: The server sends the marked-up summary in JSON format to the user terminal.

[0780] Step 7:

[0781] The user views the summary results and provides feedback if desired.

[0782] Input: A summary of the questions and answers presented

[0783] Output: User feedback

[0784] Specific operation: The user checks the displayed summary and uses the interface for inputting feedback to send comments to the server.

[0785] Step 8:

[0786] The server receives the feedback from the user and stores it in a database.

[0787] Input: Feedback data from users

[0788] Output: Feedback stored in a database

[0789] Specific operation: The server analyzes the received feedback and stores it in a database in an appropriate format.

[0790] 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.

[0791] This invention is a system that allows users to view terms of use and regulations in a concise and easy-to-understand format. The system uses a server, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[0792] Overall system configuration

[0793] User Interface

[0794] Users can access the terms of use page and click the "Super Summary" button to activate the system's summary generation function. Users can view the summary results and provide feedback if necessary.

[0795] Terminal side processing

[0796] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into JSON format, and sends it to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[0797] Server-side processing

[0798] The server receives the terms of use text from the device and passes it to the generation AI engine. The generation AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points.

[0799] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[0800] Emotion engine processing

[0801] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize their emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[0802] Generative AI engine processing

[0803] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[0804] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[0805] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0806] 3. Markup: Add visual effects to highlight particularly important points.

[0807] Specific examples

[0808] For example, if you had the following terms of use statement:

[0809] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0810] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[0811] Q1: What do I agree to when using the service?

[0812] A1: Users are deemed to have agreed to these terms and conditions.

[0813] Q2: What are the user's responsibilities?

[0814] A2: The user bears all responsibility regarding this service.

[0815] Q3: What are our rights?

[0816] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0817] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary will remain concise.

[0818] By using this system, users can easily understand the important points of the terms of use and receive information that is tailored to their emotional state, making it possible to prevent unexpected problems. In this way, the present invention significantly improves understanding of the terms of use for various services.

[0819] The processing flow will be explained below.

[0820] Step 1:

[0821] User action: The user views the terms of use page and clicks the "Super Summary" button.

[0822] Step 2:

[0823] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[0824] Step 3:

[0825] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[0826] Step 4:

[0827] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[0828] Step 5:

[0829] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[0830] Step 6:

[0831] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[0832] Step 7:

[0833] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[0834] Step 8:

[0835] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[0836] Step 9:

[0837] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[0838] Step 10:

[0839] The generative AI engine returns the summary results to the server, which then receives the summary results.

[0840] Step 11:

[0841] The server passes the summary results to the emotion engine, which adjusts the summary results based on the user's emotional state.

[0842] Step 12:

[0843] The server works with an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice to identify the emotional state.

[0844] Step 13:

[0845] An emotion engine adjusts summary results based on the user's emotional state, for example adding more detailed descriptions if the user is feeling anxious.

[0846] Step 14:

[0847] The emotion engine returns the adjusted summary result to the server, which then prepares the final summary result for sending back to the terminal.

[0848] Step 15:

[0849] The server converts the adjusted summary results into JSON format, and prepares an HTTP response to send this JSON data back to the device.

[0850] Step 16:

[0851] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[0852] Step 17:

[0853] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[0854] Step 18:

[0855] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[0856] Step 19:

[0857] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[0858] Step 20:

[0859] The user enters their feedback and clicks the submit button. The device detects this action.

[0860] Step 21:

[0861] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[0862] Step 22:

[0863] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[0864] Step 23:

[0865] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[0866] Step 24:

[0867] The server stores the feedback information in a database, which helps improve the generative AI engine.

[0868] Example 2

[0869] 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."

[0870] Terms of use are generally long and difficult for users to understand in their entirety. Also, depending on the user's emotional state, certain information may seem overly important, which can hinder comprehension. Therefore, it is necessary to make the terms of use easy for users to understand by making them concise and adjusting the display to suit the user's emotional state.

[0871] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input or select a terms of use text, a means for transmitting the terms of use text to the server, a means for the server to pass the received terms of use text to a generation AI engine and generate a summary, a means for formatting the generated summary in a Q&A format, a means for displaying the formatted summary to the user, a means for analyzing the user's emotional state, and a means for adjusting the summary based on the emotional state. This makes it possible to concisely understand the important points of the terms of use and to provide an appropriate summary according to the user's emotional state.

[0872] "User" means an end user who uses the System to view or summarize the Terms of Use.

[0873] "Terms of Use Text" refers to the text that describes the terms and conditions of use and rules of the service that users view.

[0874] "Means" refer to hardware and software components for realizing a specific function.

[0875] A "server" is a computer system that processes information and provides data by communicating with terminals.

[0876] A "generative AI engine" is an artificial intelligence that analyzes received text and generates a summary.

[0877] "Q&A format" refers to a format in which text content is presented in the form of questions and answers.

[0878] "Display means" means an interface that allows a user to visually confirm information provided by the system.

[0879] "Emotional state" refers to the user's current psychological state, and is information inferred from facial expressions, voice, and text input patterns.

[0880] "Analysis methods" are algorithms or processes that analyze data and extract specific information.

[0881] "Means for adjusting" refers to the ability to change or optimize content based on acquired information.

[0882] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server, a terminal, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[0883] System Configuration

[0884] User Interface

[0885] Users access the terms of use page using their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then review the summary results and provide feedback if necessary.

[0886] Terminal side processing

[0887] When the user clicks the "Super Summary" button, the device retrieves the terms of use text from the web page from the Document Object Model (DOM). The retrieved text is converted into JSON format and sent to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[0888] Server-side processing

[0889] The server passes the terms of use text received from the device to the generation AI engine. The generation AI engine analyzes the text using a natural language processing algorithm and summarizes the important points in a Q&A format. The generated Q&A summary result is marked up to highlight particularly important points.

[0890] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[0891] Emotion engine processing

[0892] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize the user's emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[0893] Generative AI engine processing

[0894] The generative AI engine uses natural language processing algorithms to summarize the received terms of use text in a Q&A format based on the following elements:

[0895] 1. Extraction of important terms and conditions: Extract important points such as terms of use of the service, prohibited actions, and user responsibilities.

[0896] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[0897] 3. Markup: Add visual effects to highlight particularly important points.

[0898] Specific examples

[0899] For example, if your terms of use statement is:

[0900] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0901] The generative AI engine summarizes this sentence in a Q&A format as follows:

[0902] Q1: What do I agree to when using the service?

[0903] A1: Users are deemed to have agreed to these terms and conditions.

[0904] Q2: What are the user's responsibilities?

[0905] A2: The user bears all responsibility regarding this service.

[0906] Q3: What are our rights?

[0907] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[0908] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary remains concise.

[0909] By using this system, users can easily understand the important points of the terms of use and receive information that is appropriate to their emotional state, making it possible to prevent unexpected problems from occurring.

[0910] Prompt Sentence Examples

[0911] The prompts for inputting natural language to a generative AI model are as follows:

[0912] "Please summarize the following terms of use in a Q&A format.

[0913] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0914] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0915] Step 1:

[0916] The user clicks the "Super Summary" button.

[0917] Input: User clicks on the "Super Summary" button

[0918] Output: A JavaScript event is triggered

[0919] Specifically, the user clicks the "Super Summary" button displayed on the terms of use page in a web browser. This action causes the JavaScript event listener to detect the click event and initiate the next processing step.

[0920] Step 2:

[0921] The terminal obtains the terms of use text, converts it to JSON format, and sends it to the server.

[0922] Input: The DOM of the web page after the user clicks

[0923] Output: Terms of Use text data in JSON format

[0924] Specifically, the device uses JavaScript to retrieve the terms of use text from the page's DOM, converts the retrieved text into JSON format using the JSON.stringify() function, and then sends the converted JSON data to the server using the fetch API or XMLHttpRequest.

[0925] Step 3:

[0926] The server passes the terms of use text to the generation AI engine.

[0927] Input: Terms of Use text data in JSON format sent from the terminal

[0928] Output: API request for the generative AI engine

[0929] Specifically, the server parses the received JSON data and sends an HTTP request to the API endpoint of the generative AI engine, including any necessary authentication information and parameters.

[0930] Step 4:

[0931] The generative AI engine generates a summary and returns it to the server.

[0932] Input: API request and terms of use text data sent from the server

[0933] Output: Text data summarized in Q&A format

[0934] Specifically, the generative AI engine uses natural language processing algorithms to analyze the text and extract key points, which are then converted into a question and answer format and sent back to the server as an API response.

[0935] Step 5:

[0936] The server passes the summary results to the emotion engine.

[0937] Input: Q&A format summary data returned from the generative AI engine

[0938] Output: API request for the emotion engine

[0939] Specifically, the server sends the received summary results to the emotion engine API as an HTTP request, which also includes the user's identification information and summary data.

[0940] Step 6:

[0941] The emotion engine analyzes the user's emotions and adjusts the summary content.

[0942] Input: User identification information and summary data in Q&A format sent from the server

[0943] Output: Adjusted summary data

[0944] Specifically, the emotion engine analyzes data acquired from cameras and microphones to determine the user's emotional state. Depending on the user's emotion, it adjusts the summary results, adding or removing information. The adjusted summary data is then sent back to the server.

[0945] Step 7:

[0946] The server sends the final summary result to the terminal.

[0947] Input: Adjusted summary data returned from the sentiment engine

[0948] Output: HTTP response for the device

[0949] Specifically, the server receives the adjusted summary data and sends it to the terminal as an HTTP response, which includes the formatted summary data.

[0950] Step 8:

[0951] The terminal displays the summary results for the user to view.

[0952] Input: Adjusted summary data received from the server

[0953] Output: A user-visible summary of the results

[0954] Specifically, the device analyzes the received summary data and displays it on the screen. The summary is presented in a Q&A format to make it easier for users to understand visually. Users can review the displayed content and provide feedback if necessary.

[0955] (Application example 2)

[0956] 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."

[0957] Existing systems make it difficult for users to understand lengthy and complex terms and conditions. Furthermore, the system does not adjust the summaries based on the user's emotional state, preventing users from feeling comfortable understanding the terms and conditions. Furthermore, the system does not adequately collect and utilize feedback on the terms and conditions, preventing the accuracy and usefulness of the summaries from being improved.

[0958] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for the user to input or select terms of use text, means for transmitting the terms of use text to the server, means for passing the terms of use text received by the server to a generation AI engine to generate a summary, means for formatting the generated summary in a Q&A format, means for displaying the formatted summary to the user, means for analyzing the user's emotional state, and means for adjusting the summary based on the user's emotional state. This allows the user to easily understand the terms of use and provides information according to their emotions, preventing unexpected problems from occurring.

[0959] "User" means a person who uses an information system or service.

[0960] "Terms of Use Text" refers to a document that describes the conditions and rules for using the service.

[0961] A "server" is a computer system that is connected to a network and stores and processes data.

[0962] A "generative AI engine" is an artificial intelligence program that analyzes input text data and performs summarization and information generation.

[0963] A "summary" is a short summary of important information extracted from a long piece of text.

[0964] "Q&A format" refers to a format that presents information in the form of questions and answers.

[0965] "Display" means visually conveying data or information to a user.

[0966] An "emotional state" is the emotional or psychological state that a person is feeling.

[0967] "Analysis" means examining data or information in detail to understand its content and clarify its structure and meaning.

[0968] "Adjustment" means changing data and system settings to suit a purpose and bringing them into an optimal state.

[0969] "Feedback" means collecting opinions and evaluation information from users and using it to improve systems and services.

[0970] The present invention provides a system for providing terms of use in a simple and understandable format. To implement this system, the following hardware and software are used.

[0971] The core hardware of this system includes a terminal (such as a smartphone) that accepts user input and a server that processes data. Users use this system by accessing the terms of use page using a terminal such as a smartphone and clicking the "Super Summary" button. The terminal is responsible for sending the terms of use text and feedback information to the server.

[0972] The following software is implemented on the server side:

[0973] 1. Generative AI engine:

[0974] Using Google's BERT and OpenAI's GPT, the received terms of use text is analyzed, key points are extracted, and summarized in a Q&A format.

[0975] This summary is marked up to highlight important points.

[0976] 2. Emotion Engine:

[0977] It uses Microsoft Azure's Face API and Google Cloud Speech-to-Text API to analyze the user's emotional state.

[0978] It collects facial images and voice data from the user and adjusts the summary results according to the user's emotional state, such as whether they are feeling safe or anxious.

[0979] The server passes the terms of use text to a generative AI engine to generate a summary, then sends the generated Q&A-style summary to an emotion engine to adjust it based on the user's emotional state. The adjusted summary is then sent back to the device and displayed to the user. The user can view the summary and provide feedback if necessary, which is then received by the server and stored in a database.

[0980] For example:

[0981] For example, a user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. The server receives this face image and the terms of use text, and the generative AI engine first analyzes the terms of use text to generate a Q&A style summary. The emotion engine then analyzes the face image and adds a detailed explanation to the summary if the user feels uneasy. As a result, the summary is displayed to the user in the following format:

[0982] "Generate a summary of the following text:

[0983] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[0984] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0985] Step 1:

[0986] The user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. In response to this action, the device obtains the terms of use text and their face image. The input is the user's face image and the terms of use text, and the output is the data converted into JSON format and sent to the server.

[0987] Step 2:

[0988] The server receives the JSON data from the device. The input is the JSON data sent from the device, and the output is the terms of use text and data that individually extracts the user's facial image. Here, the terms of use text is passed to the generative AI engine.

[0989] Step 3:

[0990] The generative AI engine analyzes the terms of use text, extracts key points, and summarizes them in a Q&A format. The input is the terms of use text, and the output is summary data in a Q&A format. The generative AI engine does this using a natural language processing algorithm.

[0991] Step 4:

[0992] The generated Q&A-style summary is passed from the server to the emotion engine. The input is the Q&A-style summary data and the user's facial image, and the output is the adjusted summary data. The emotion engine analyzes the user's facial image and adjusts the summary based on the user's emotional state.

[0993] Step 5:

[0994] The server receives the summary data adjusted by the emotion engine and sends it back to the device. The input is the adjusted summary data, and the output is the final summary data sent to the device. This allows the user to view the summary results on their smartphone.

[0995] Step 6:

[0996] The user views the displayed summary results and provides feedback. The input is the user's feedback, and the output is the feedback data sent to the server in JSON format.

[0997] Step 7:

[0998] The server receives feedback from users and stores it in a database. The input is the feedback data sent from the device, and the output is the feedback information stored in the database. This allows the system to improve the accuracy of future summary generation.

[0999] 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.

[1000] 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.

[1001] 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.

[1002] [Third embodiment]

[1003] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1004] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1005] 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).

[1006] 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.

[1007] 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.

[1008] 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).

[1009] 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.

[1010] 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.

[1011] 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.

[1012] 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.

[1013] 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.

[1014] 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."

[1015] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. The system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[1016] Overall system configuration

[1017] User Interface

[1018] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[1019] Terminal side processing

[1020] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it to JSON format, and sends it to the server. User feedback is also sent to the server in JSON format.

[1021] Server-side processing

[1022] The server receives the terms of use text from the device and passes it to the generative AI engine, which analyzes the terms of use text and summarizes the key points in a Q&A format.

[1023] The generated Q&A summary is marked up to highlight important points and sent back to the device from the server, which also receives user feedback and stores it in a database.

[1024] Generative AI engine processing

[1025] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[1026] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[1027] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1028] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[1029] Specific examples

[1030] For example, if you had the following terms of use statement:

[1031] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1032] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[1033] Q1: What do I agree to when using the service?

[1034] A1: Users are deemed to have agreed to these terms and conditions.

[1035] Q2: What are the user's responsibilities?

[1036] A2: The user bears all responsibility regarding this service.

[1037] Q3: What are our rights?

[1038] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1039] The generated Q&A-style summary is displayed on the device, allowing users to easily understand it and avoid missing any important points of the terms of use.

[1040] By using this system, users can improve their understanding and prevent unexpected problems. In this way, the present invention significantly improves understanding of terms of use for various services.

[1041] The processing flow will be explained below.

[1042] Step 1:

[1043] User action: The user views the terms of use page and clicks the "Super Summary" button.

[1044] Step 2:

[1045] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[1046] Step 3:

[1047] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[1048] Step 4:

[1049] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[1050] Step 5:

[1051] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[1052] Step 6:

[1053] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[1054] Step 7:

[1055] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[1056] Step 8:

[1057] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[1058] Step 9:

[1059] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[1060] Step 10:

[1061] The generative AI engine returns the summary results to the server, which then receives the summary results.

[1062] Step 11:

[1063] The server converts the summary results into JSON format and prepares an HTTP response to send this JSON data back to the device.

[1064] Step 12:

[1065] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[1066] Step 13:

[1067] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[1068] Step 14:

[1069] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[1070] Step 15:

[1071] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[1072] Step 16:

[1073] The user enters their feedback and clicks the submit button. The device detects this action.

[1074] Step 17:

[1075] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[1076] Step 18:

[1077] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[1078] Step 19:

[1079] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[1080] Step 20:

[1081] The server stores the feedback information in a database, which helps improve the generative AI engine.

[1082] Example 1

[1083] 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."

[1084] Conventional terms of use are complex, requiring time and effort for users to understand them. Furthermore, there is a high risk of overlooking important points in the terms of use, and not properly understanding them can lead to various problems. Furthermore, there is no system that allows users to provide feedback on the content of the terms of use, which hinders improvements to the terms of use. To solve these issues, a system is needed that summarizes the terms of use, presents them in a format that users can easily understand, and collects feedback.

[1085] 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.

[1086] In this invention, the server includes a means for a user to input or select terms of use text, a means for converting the terms of use text into a data format and sending it to the server, a means for the server to pass the received terms of use text to a generation AI engine to generate a summary, and a means for formatting the generated summary in a Q&A format. This allows the user to efficiently grasp the key points of the terms of use. The server also includes a means for marking up the generated summary and displaying it to the user, a means for inputting user feedback on the summary result, and a means for converting the feedback into a data format and sending it to the server, receiving and storing the feedback. This makes the contents of the terms of use easier to understand and promotes improvements by utilizing user feedback.

[1087] "Terms of Use Text" is a document that defines the terms of use of the service, prohibited actions, user responsibilities, etc.

[1088] "User" means the operator of a terminal that uses the service and accesses the terms of use page to view information.

[1089] A "server" is a computer system on a network that receives and processes data sent by users.

[1090] The "generative AI engine" is a system that uses an artificial intelligence algorithm to analyze the received terms of use text and automatically generate a summary.

[1091] "Q&A format" is a method of presenting information in the form of questions and answers.

[1092] "Formatting" is the processing of data into a particular shape or form.

[1093] "Markup" is the act of changing formatting to visually emphasize particularly important points.

[1094] "Feedback" is information that users provide with their opinions and evaluations of the summary results.

[1095] A "data format" is a form in which information is structured according to certain rules.

[1096] "Preservation" means the long-term retention of data or information.

[1097] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[1098] User Interface

[1099] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can view the summary results and provide feedback if necessary.

[1100] Terminal side processing

[1101] When the user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into a data format (e.g., JSON format), and sends it to the server. The user's feedback is also sent to the server in a similar data format. The specific data format is as follows:

[1102] json

[1103] {

[1104] "regulation_text": "By using this service, you agree to these terms and conditions..."

[1105] }

[1106] Server-side processing

[1107] The server receives the terms of use text from the device and passes it to the generative AI engine. The generative AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points and is sent back from the server to the device. The server is also responsible for receiving feedback from users and storing it in a database.

[1108] Generative AI engine processing

[1109] The Generative AI Engine uses natural language processing algorithms to analyze the received terms and conditions text and generate a summary based on the following factors:

[1110] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[1111] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1112] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[1113] Specific examples

[1114] For example, if you had the following terms of use statement:

[1115] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1116] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[1117] Q1: What do I agree to when using the service?

[1118] A1: Users are deemed to have agreed to these terms and conditions.

[1119] Q2: What are the user's responsibilities?

[1120] A2: The user bears all responsibility regarding this service.

[1121] Q3: What are our rights?

[1122] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1123] By inputting this prompt into a generative AI model, the content of the terms of use can be analyzed and a summary in a Q&A format that is easy for users to understand can be generated, allowing users to understand the key points of the terms of use without missing anything.

[1124] By using this system, users' understanding can be improved and unexpected problems can be prevented. Furthermore, by utilizing user feedback, the content of the terms of use can be continuously improved, making this a beneficial system for service providers as well.

[1125] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1126] Program processing flow

[1127] Step 1:

[1128] The user accesses the terms of use page using a web browser and clicks the "Super Summary" button.

[1129] Specific behavior:

[1130] A user visits the Terms of Use page, finds the "Super Summary" button on the screen, and clicks it.

[1131] Input: User click action

[1132] Output: Request to launch "Super Summary" function

[1133] Step 2:

[1134] The terminal retrieves the terms of use text from the HTML DOM and converts it to JSON format.

[1135] Specific behavior:

[1136] The terminal script performs DOM manipulation to extract the terms of use text and parses it into JSON format.

[1137] Input: Terms of Use text data

[1138] Output: JSON format data

[1139] json

[1140] {

[1141] "regulation_text": "By using this service, you agree to these terms and conditions..."

[1142] }

[1143] Step 3:

[1144] The device sends the generated JSON data to the server.

[1145] Specific behavior:

[1146] The device uses an HTTP POST request to send JSON data to a server with a pre-configured endpoint.

[1147] Input: JSON format data

[1148] Output: Request data sent to the server

[1149] Step 4:

[1150] The server analyzes the JSON data received from the device and passes it to the generative AI engine.

[1151] Specific behavior:

[1152] The server parses the incoming request, extracts the terms of use text from the payload, and passes it to the generative AI engine.

[1153] Input: JSON data sent from the terminal

[1154] Output: Terms of Use text passed to the generative AI engine

[1155] Step 5:

[1156] The generative AI engine analyzes the terms of use text and summarizes key points in a Q&A format.

[1157] Specific behavior:

[1158] The generative AI engine uses natural language processing algorithms to extract key points in the text and convert it into a question and answer format.

[1159] Input: Terms of Use Text

[1160] Output: Q&A style summary

[1161] Q1: What do I agree to when using the service?

[1162] A1: Users are deemed to have agreed to these terms and conditions.

[1163] Step 6:

[1164] The generative AI engine marks up the generated Q&A-style summary and sends it back to the server.

[1165] Specific behavior:

[1166] Important points in the generated Q&A are marked up and visually emphasized by changing font size and color, etc.

[1167] Input: Q&A summary

[1168] Output: A marked-up Q&A summary

[1169] Step 7:

[1170] The server receives the summary result and sends it back to the terminal.

[1171] Specific behavior:

[1172] The server converts the received summary results into JSON format and returns it to the terminal as an HTTP response.

[1173] Input: A marked-up Q&A summary

[1174] Output: Response data to the terminal

[1175] Step 8:

[1176] The terminal displays the summary results on the screen.

[1177] Specific behavior:

[1178] The terminal embeds the received summary data into HTML and displays it on a web page.

[1179] Input: Response data from the server

[1180] Output: Summary results displayed on screen

[1181] Step 9:

[1182] The user views the displayed summary results and provides feedback.

[1183] Specific behavior:

[1184] The user checks the summary results and fills in their opinions and evaluations in the feedback form.

[1185] Input: User feedback input

[1186] Output: Feedback data

[1187] Step 10:

[1188] The device converts the feedback into JSON format and sends it to the server.

[1189] Specific behavior:

[1190] The device parses the feedback form data into JSON format and sends it to the server as an HTTP POST request.

[1191] Input: Feedback data

[1192] Output: Feedback data in JSON format sent to the server

[1193] Step 11:

[1194] The server receives the feedback and stores it in a database.

[1195] Specific behavior:

[1196] The server analyzes the received feedback data and stores it in a database. Feedback is used to improve the terms of use.

[1197] Input: Feedback data sent from the device

[1198] Output: Feedback data stored in a database

[1199] (Application example 1)

[1200] 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."

[1201] In conventional systems for terms of use, it was difficult for users to read the terms in detail, which meant they could miss important content. Furthermore, because the terms of use were complex and difficult to understand, users were unable to obtain sufficient information when using the service, which led to problems. Furthermore, for electronic payment services, it is extremely important for users to quickly understand the terms of use, and an effective method to support this was needed.

[1202] 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.

[1203] In this invention, the server includes: a means for a user to input or select terms of use text; a means for passing the terms of use text to a generative AI model to generate a summary; a means for formatting the generated summary in a question-and-answer format; a means for a user to access a terms of use page in an electronic payment service and concisely display the summary of the terms of use; a means for visually highlighting important points upon request; and a means for sending user feedback regarding the terms of use to the server and storing the received feedback in a database. This allows users to quickly and concisely understand the terms of use and grasp important points without missing any. Furthermore, collecting and storing user feedback can improve users' understanding of the terms of use and prevent problems from occurring.

[1204] "Terms of Use" refers to a set of conditions and rules agreed upon between users and providers when using a service.

[1205] "Summarizing" refers to summarizing a long piece of text or content into a concise, easy-to-understand format.

[1206] A "generative AI model" is a type of artificial intelligence program that uses natural language processing to understand text and convert it into a summary or other format.

[1207] The "question and answer format" is a method of displaying specific answers to specific questions in a set, making the information easier to understand.

[1208] "Electronic payment services" refers to payment services conducted via the Internet or other communications networks.

[1209] "Feedback" refers to reactions such as opinions, impressions, and questions received from users.

[1210] A "database" is a system that stores large amounts of data in an organized manner and manages them so that they can be easily searched and used.

[1211] "Markup" refers to the addition of visual effects to emphasize particular parts of text.

[1212] "Terminal" means an electronic device used by a user to enter or receive information.

[1213] A "server" refers to a computer system that provides data and services over a network.

[1214] The system for implementing this invention includes a terminal used by a user, a server, and a generative AI model. Each component and its operation will be described in detail below.

[1215] User Device

[1216] The devices used by users are electronic devices such as PCs, smartphones, and tablets. Using these devices, users access the terms of use page and click the "Super Summary" button. At this time, the user's device retrieves the terms of use text, converts it into JSON format, and sends it to the server.

[1217] server

[1218] The server receives the terms of use text sent from the user's device and passes it to the generative AI model. The generative AI model then analyzes the received text and generates a summary in the form of questions and answers. The generated summary is marked up to highlight particularly important points and is sent back to the user's device via the server. The server also receives feedback from users and stores it in a database.

[1219] Generative AI Models

[1220] The generative AI model uses a natural language processing algorithm to analyze the received terms of use text and generate a summary in the form of questions and answers based on the following elements: First, it extracts the important terms of use, then converts the summary into a question and answer format, and finally it applies markup to visually highlight particularly important points.

[1221] Specific examples

[1222] For example, if your terms of use statement looks like this:

[1223] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1224] The generative AI model parses this terms of use statement and generates a summary in the form of questions and answers, as follows:

[1225] Q1: What do I agree to when using the service?

[1226] A1: Users are deemed to have agreed to these terms and conditions.

[1227] Q2: What are the user's responsibilities?

[1228] A2: The user bears all responsibility regarding this service.

[1229] Q3: What are our rights?

[1230] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1231] In this way, users can concisely understand the key points of the terms of service. By inputting this prompt into a generative AI model, a summary in the form of questions and answers can be obtained. Through this entire process, users' understanding of the terms of service can be improved, preventing problems when using the service.

[1232] Hardware and software used

[1233] This system is implemented using the following hardware and software:

[1234] User devices: PC, smartphone, tablet

[1235] Server: Web server (web framework such as Flask)

[1236] Generative AI models: Natural language processing libraries (e.g., the pipeline function in the Transformers library)

[1237] With the above configuration, the present invention has the effect of helping users quickly understand the terms of use.

[1238] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1239] Step 1:

[1240] A user visits the Terms of Use page and clicks the "Super Summary" button.

[1241] Input: The "Super Summary" button clicked by the user

[1242] Output: The user device retrieves the terms of use text and prepares to send it to the server

[1243] Specific operation: When a user clicks the "Super Summary" button on the Terms of Use page, the user's device retrieves the Terms of Use text on the page and converts it into JSON format.

[1244] Step 2:

[1245] The device sends the terms of use text to the server.

[1246] Input: Terms of Use text in JSON format

[1247] Output: Terms of Use text sent to server

[1248] Specific operation: The terminal sends JSON data containing the original terms of use text to the server.

[1249] Step 3:

[1250] The server passes the received terms of use text to the generative AI model.

[1251] Input: Terms of Use text in JSON format sent to the server

[1252] Output: Input data to a generative AI model

[1253] Specific operation: The server parses the received terms of use text and converts its content into a format that can be input into the generative AI model.

[1254] Step 4:

[1255] A generative AI model analyzes the terms of use text and generates a summary in the form of questions and answers.

[1256] Input: Terms of Use text to be parsed

[1257] Output: Question and answer summary

[1258] How it works: The generative AI model uses natural language processing techniques to extract key points and summarize them in a question and answer format.

[1259] Step 5:

[1260] Use markup to visually emphasize important points.

[1261] Input: Question and answer summary

[1262] Output: A marked-up summary with the most important points highlighted

[1263] Specific behavior: Highlights the important parts of the generated question and answer text by making them bold or changing the color.

[1264] Step 6:

[1265] The server returns the marked-up summary to the user terminal.

[1266] Input: Marked up summary text

[1267] Output: Data sent to the user's device for display

[1268] Specific operation: The server sends the marked-up summary in JSON format to the user terminal.

[1269] Step 7:

[1270] The user views the summary results and provides feedback if desired.

[1271] Input: A summary of the questions and answers presented

[1272] Output: User feedback

[1273] Specific operation: The user checks the displayed summary and uses the interface for inputting feedback to send comments to the server.

[1274] Step 8:

[1275] The server receives the feedback from the user and stores it in a database.

[1276] Input: Feedback data from users

[1277] Output: Feedback stored in a database

[1278] Specific operation: The server analyzes the received feedback and stores it in a database in an appropriate format.

[1279] 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.

[1280] This invention is a system that allows users to view terms of use and regulations in a concise and easy-to-understand format. The system uses a server, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[1281] Overall system configuration

[1282] User Interface

[1283] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[1284] Terminal side processing

[1285] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into JSON format, and sends it to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[1286] Server-side processing

[1287] The server receives the terms of use text from the device and passes it to the generation AI engine. The generation AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points.

[1288] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[1289] Emotion engine processing

[1290] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize their emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[1291] Generative AI engine processing

[1292] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[1293] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[1294] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1295] 3. Markup: Add visual effects to highlight particularly important points.

[1296] Specific examples

[1297] For example, if you had the following terms of use statement:

[1298] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1299] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[1300] Q1: What do I agree to when using the service?

[1301] A1: Users are deemed to have agreed to these terms and conditions.

[1302] Q2: What are the user's responsibilities?

[1303] A2: The user bears all responsibility regarding this service.

[1304] Q3: What are our rights?

[1305] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1306] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary will remain concise.

[1307] By using this system, users can easily understand the important points of the terms of use and receive information that is tailored to their emotional state, making it possible to prevent unexpected problems. In this way, the present invention significantly improves understanding of the terms of use for various services.

[1308] The processing flow will be explained below.

[1309] Step 1:

[1310] User action: The user views the terms of use page and clicks the "Super Summary" button.

[1311] Step 2:

[1312] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[1313] Step 3:

[1314] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[1315] Step 4:

[1316] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[1317] Step 5:

[1318] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[1319] Step 6:

[1320] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[1321] Step 7:

[1322] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[1323] Step 8:

[1324] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[1325] Step 9:

[1326] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[1327] Step 10:

[1328] The generative AI engine returns the summary results to the server, which then receives the summary results.

[1329] Step 11:

[1330] The server passes the summary results to the emotion engine, which adjusts the summary results based on the user's emotional state.

[1331] Step 12:

[1332] The server works with an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice to identify the emotional state.

[1333] Step 13:

[1334] An emotion engine adjusts summary results based on the user's emotional state, for example adding more detailed descriptions if the user is feeling anxious.

[1335] Step 14:

[1336] The emotion engine returns the adjusted summary result to the server, which then prepares the final summary result for sending back to the terminal.

[1337] Step 15:

[1338] The server converts the adjusted summary results into JSON format, and prepares an HTTP response to send this JSON data back to the device.

[1339] Step 16:

[1340] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[1341] Step 17:

[1342] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[1343] Step 18:

[1344] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[1345] Step 19:

[1346] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[1347] Step 20:

[1348] The user enters their feedback and clicks the submit button. The device detects this action.

[1349] Step 21:

[1350] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[1351] Step 22:

[1352] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[1353] Step 23:

[1354] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[1355] Step 24:

[1356] The server stores the feedback information in a database, which helps improve the generative AI engine.

[1357] Example 2

[1358] 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."

[1359] Terms of use are generally long and difficult for users to understand in their entirety. Also, depending on the user's emotional state, certain information may seem overly important, which can hinder comprehension. Therefore, it is necessary to make the terms of use easy for users to understand by making them concise and adjusting the display to suit the user's emotional state.

[1360] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input or select a terms of use text, a means for transmitting the terms of use text to the server, a means for the server to pass the received terms of use text to a generation AI engine and generate a summary, a means for formatting the generated summary in a Q&A format, a means for displaying the formatted summary to the user, a means for analyzing the user's emotional state, and a means for adjusting the summary based on the emotional state. This makes it possible to concisely understand the important points of the terms of use and to provide an appropriate summary according to the user's emotional state.

[1361] "User" means an end user who uses the System to view or summarize the Terms of Use.

[1362] "Terms of Use Text" refers to the text that describes the terms and conditions of use and rules of the service that users view.

[1363] "Means" refer to hardware and software components for realizing a specific function.

[1364] A "server" is a computer system that processes information and provides data by communicating with terminals.

[1365] A "generative AI engine" is an artificial intelligence that analyzes received text and generates a summary.

[1366] "Q&A format" refers to a format in which text content is presented in the form of questions and answers.

[1367] "Display means" means an interface that allows a user to visually confirm information provided by the system.

[1368] "Emotional state" refers to the user's current psychological state, and is information inferred from facial expressions, voice, and text input patterns.

[1369] "Analysis methods" are algorithms or processes that analyze data and extract specific information.

[1370] "Means for adjusting" refers to the ability to change or optimize content based on acquired information.

[1371] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server, a terminal, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[1372] System Configuration

[1373] User Interface

[1374] Users access the terms of use page using their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then review the summary results and provide feedback if necessary.

[1375] Terminal side processing

[1376] When the user clicks the "Super Summary" button, the device retrieves the terms of use text from the web page from the Document Object Model (DOM). The retrieved text is converted into JSON format and sent to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[1377] Server-side processing

[1378] The server passes the terms of use text received from the device to the generation AI engine. The generation AI engine analyzes the text using a natural language processing algorithm and summarizes the important points in a Q&A format. The generated Q&A summary result is marked up to highlight particularly important points.

[1379] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[1380] Emotion engine processing

[1381] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize the user's emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[1382] Generative AI engine processing

[1383] The generative AI engine uses natural language processing algorithms to summarize the received terms of use text in a Q&A format based on the following elements:

[1384] 1. Extraction of important terms and conditions: Extract important points such as terms of use of the service, prohibited actions, and user responsibilities.

[1385] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1386] 3. Markup: Add visual effects to highlight particularly important points.

[1387] Specific examples

[1388] For example, if your terms of use statement is:

[1389] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1390] The generative AI engine summarizes this sentence in a Q&A format as follows:

[1391] Q1: What do I agree to when using the service?

[1392] A1: Users are deemed to have agreed to these terms and conditions.

[1393] Q2: What are the user's responsibilities?

[1394] A2: The user bears all responsibility regarding this service.

[1395] Q3: What are our rights?

[1396] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1397] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary remains concise.

[1398] By using this system, users can easily understand the important points of the terms of use and receive information that is appropriate to their emotional state, making it possible to prevent unexpected problems from occurring.

[1399] Prompt Sentence Examples

[1400] The prompts for inputting natural language to a generative AI model are as follows:

[1401] "Please summarize the following terms of use in a Q&A format.

[1402] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1403] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1404] Step 1:

[1405] The user clicks the "Super Summary" button.

[1406] Input: User clicks on the "Super Summary" button

[1407] Output: A JavaScript event is triggered

[1408] Specifically, the user clicks the "Super Summary" button displayed on the terms of use page in a web browser. This action causes the JavaScript event listener to detect the click event and initiate the next processing step.

[1409] Step 2:

[1410] The terminal obtains the terms of use text, converts it to JSON format, and sends it to the server.

[1411] Input: The DOM of the web page after the user clicks

[1412] Output: Terms of Use text data in JSON format

[1413] Specifically, the device uses JavaScript to retrieve the terms of use text from the page's DOM, converts the retrieved text into JSON format using the JSON.stringify() function, and then sends the converted JSON data to the server using the fetch API or XMLHttpRequest.

[1414] Step 3:

[1415] The server passes the terms of use text to the generation AI engine.

[1416] Input: Terms of Use text data in JSON format sent from the terminal

[1417] Output: API request for the generative AI engine

[1418] Specifically, the server parses the received JSON data and sends an HTTP request to the API endpoint of the generative AI engine, including any necessary authentication information and parameters.

[1419] Step 4:

[1420] The generative AI engine generates a summary and returns it to the server.

[1421] Input: API request and terms of use text data sent from the server

[1422] Output: Text data summarized in Q&A format

[1423] Specifically, the generative AI engine uses natural language processing algorithms to analyze the text and extract key points, which are then converted into a question and answer format and sent back to the server as an API response.

[1424] Step 5:

[1425] The server passes the summary results to the emotion engine.

[1426] Input: Q&A format summary data returned from the generative AI engine

[1427] Output: API request for the emotion engine

[1428] Specifically, the server sends the received summary results to the emotion engine API as an HTTP request, which also includes the user's identification information and summary data.

[1429] Step 6:

[1430] The emotion engine analyzes the user's emotions and adjusts the summary content.

[1431] Input: User identification information and summary data in Q&A format sent from the server

[1432] Output: Adjusted summary data

[1433] Specifically, the emotion engine analyzes data acquired from cameras and microphones to determine the user's emotional state. Depending on the user's emotion, it adjusts the summary results, adding or removing information. The adjusted summary data is then sent back to the server.

[1434] Step 7:

[1435] The server sends the final summary result to the terminal.

[1436] Input: Adjusted summary data returned from the sentiment engine

[1437] Output: HTTP response for the device

[1438] Specifically, the server receives the adjusted summary data and sends it to the terminal as an HTTP response, which includes the formatted summary data.

[1439] Step 8:

[1440] The terminal displays the summary results for the user to view.

[1441] Input: Adjusted summary data received from the server

[1442] Output: A user-visible summary of the results

[1443] Specifically, the device analyzes the received summary data and displays it on the screen. The summary is presented in a Q&A format to make it easier for users to understand visually. Users can review the displayed content and provide feedback if necessary.

[1444] (Application example 2)

[1445] 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."

[1446] Existing systems make it difficult for users to understand lengthy and complex terms and conditions. Furthermore, the system does not adjust the summaries based on the user's emotional state, preventing users from feeling comfortable understanding the terms and conditions. Furthermore, the system does not adequately collect and utilize feedback on the terms and conditions, preventing the accuracy and usefulness of the summaries from being improved.

[1447] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for the user to input or select terms of use text, means for transmitting the terms of use text to the server, means for passing the terms of use text received by the server to a generation AI engine to generate a summary, means for formatting the generated summary in a Q&A format, means for displaying the formatted summary to the user, means for analyzing the user's emotional state, and means for adjusting the summary based on the user's emotional state. This allows the user to easily understand the terms of use and provides information according to their emotions, preventing unexpected problems from occurring.

[1448] "User" means a person who uses an information system or service.

[1449] "Terms of Use Text" refers to a document that describes the conditions and rules for using the service.

[1450] A "server" is a computer system that is connected to a network and stores and processes data.

[1451] A "generative AI engine" is an artificial intelligence program that analyzes input text data and performs summarization and information generation.

[1452] A "summary" is a short summary of important information extracted from a long piece of text.

[1453] "Q&A format" refers to a format that presents information in the form of questions and answers.

[1454] "Display" means visually conveying data or information to a user.

[1455] An "emotional state" is the emotional or psychological state that a person is feeling.

[1456] "Analysis" means examining data or information in detail to understand its content and clarify its structure and meaning.

[1457] "Adjustment" means changing data and system settings to suit a purpose and bringing them into an optimal state.

[1458] "Feedback" means collecting opinions and evaluation information from users and using it to improve systems and services.

[1459] The present invention provides a system for providing terms of use in a simple and understandable format. To implement this system, the following hardware and software are used.

[1460] The core hardware of this system includes a terminal (such as a smartphone) that accepts user input and a server that processes data. Users use this system by accessing the terms of use page using a terminal such as a smartphone and clicking the "Super Summary" button. The terminal is responsible for sending the terms of use text and feedback information to the server.

[1461] The following software is implemented on the server side:

[1462] 1. Generative AI engine:

[1463] Using Google's BERT and OpenAI's GPT, the received terms of use text is analyzed, key points are extracted, and summarized in a Q&A format.

[1464] This summary is marked up to highlight important points.

[1465] 2. Emotion Engine:

[1466] It uses Microsoft Azure's Face API and Google Cloud Speech-to-Text API to analyze the user's emotional state.

[1467] It collects facial images and voice data from the user and adjusts the summary results according to the user's emotional state, such as whether they are feeling safe or anxious.

[1468] The server passes the terms of use text to a generative AI engine to generate a summary, then sends the generated Q&A-style summary to an emotion engine to adjust it based on the user's emotional state. The adjusted summary is then sent back to the device and displayed to the user. The user can view the summary and provide feedback if necessary, which is then received by the server and stored in a database.

[1469] For example:

[1470] For example, a user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. The server receives this face image and the terms of use text, and the generative AI engine first analyzes the terms of use text to generate a Q&A style summary. The emotion engine then analyzes the face image and adds a detailed explanation to the summary if the user feels uneasy. As a result, the summary is displayed to the user in the following format:

[1471] "Generate a summary of the following text:

[1472] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1473] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1474] Step 1:

[1475] The user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. In response to this action, the device obtains the terms of use text and their face image. The input is the user's face image and the terms of use text, and the output is the data converted into JSON format and sent to the server.

[1476] Step 2:

[1477] The server receives the JSON data from the device. The input is the JSON data sent from the device, and the output is the terms of use text and data that individually extracts the user's facial image. Here, the terms of use text is passed to the generative AI engine.

[1478] Step 3:

[1479] The generative AI engine analyzes the terms of use text, extracts key points, and summarizes them in a Q&A format. The input is the terms of use text, and the output is summary data in a Q&A format. The generative AI engine does this using a natural language processing algorithm.

[1480] Step 4:

[1481] The generated Q&A-style summary is passed from the server to the emotion engine. The input is the Q&A-style summary data and the user's facial image, and the output is the adjusted summary data. The emotion engine analyzes the user's facial image and adjusts the summary based on the user's emotional state.

[1482] Step 5:

[1483] The server receives the summary data adjusted by the emotion engine and sends it back to the device. The input is the adjusted summary data, and the output is the final summary data sent to the device. This allows the user to view the summary results on their smartphone.

[1484] Step 6:

[1485] The user views the displayed summary results and provides feedback. The input is the user's feedback, and the output is the feedback data sent to the server in JSON format.

[1486] Step 7:

[1487] The server receives feedback from users and stores it in a database. The input is the feedback data sent from the device, and the output is the feedback information stored in the database. This allows the system to improve the accuracy of future summary generation.

[1488] 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.

[1489] 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.

[1490] 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.

[1491] [Fourth embodiment]

[1492] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1493] 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.

[1494] 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).

[1495] 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.

[1496] 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.

[1497] 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).

[1498] 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.

[1499] 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.

[1500] 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.

[1501] 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.

[1502] 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.

[1503] 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.

[1504] 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."

[1505] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. The system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[1506] Overall system configuration

[1507] User Interface

[1508] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[1509] Terminal side processing

[1510] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it to JSON format, and sends it to the server. User feedback is also sent to the server in JSON format.

[1511] Server-side processing

[1512] The server receives the terms of use text from the device and passes it to the generative AI engine, which analyzes the terms of use text and summarizes the key points in a Q&A format.

[1513] The generated Q&A summary is marked up to highlight important points and sent back to the device from the server, which also receives user feedback and stores it in a database.

[1514] Generative AI engine processing

[1515] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[1516] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[1517] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1518] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[1519] Specific examples

[1520] For example, if you had the following terms of use statement:

[1521] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1522] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[1523] Q1: What do I agree to when using the service?

[1524] A1: Users are deemed to have agreed to these terms and conditions.

[1525] Q2: What are the user's responsibilities?

[1526] A2: The user bears all responsibility regarding this service.

[1527] Q3: What are our rights?

[1528] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1529] The generated Q&A-style summary is displayed on the device, allowing users to easily understand it and avoid missing any important points of the terms of use.

[1530] By using this system, users can improve their understanding and prevent unexpected problems. In this way, the present invention significantly improves understanding of terms of use for various services.

[1531] The processing flow will be explained below.

[1532] Step 1:

[1533] User action: The user views the terms of use page and clicks the "Super Summary" button.

[1534] Step 2:

[1535] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[1536] Step 3:

[1537] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[1538] Step 4:

[1539] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[1540] Step 5:

[1541] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[1542] Step 6:

[1543] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[1544] Step 7:

[1545] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[1546] Step 8:

[1547] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[1548] Step 9:

[1549] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[1550] Step 10:

[1551] The generative AI engine returns the summary results to the server, which then receives the summary results.

[1552] Step 11:

[1553] The server converts the summary results into JSON format and prepares an HTTP response to send this JSON data back to the device.

[1554] Step 12:

[1555] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[1556] Step 13:

[1557] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[1558] Step 14:

[1559] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[1560] Step 15:

[1561] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[1562] Step 16:

[1563] The user enters their feedback and clicks the submit button. The device detects this action.

[1564] Step 17:

[1565] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[1566] Step 18:

[1567] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[1568] Step 19:

[1569] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[1570] Step 20:

[1571] The server stores the feedback information in a database, which helps improve the generative AI engine.

[1572] Example 1

[1573] 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."

[1574] Conventional terms of use are complex, requiring time and effort for users to understand them. Furthermore, there is a high risk of overlooking important points in the terms of use, and not properly understanding them can lead to various problems. Furthermore, there is no system that allows users to provide feedback on the content of the terms of use, which hinders improvements to the terms of use. To solve these issues, a system is needed that summarizes the terms of use, presents them in a format that users can easily understand, and collects feedback.

[1575] 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.

[1576] In this invention, the server includes a means for a user to input or select terms of use text, a means for converting the terms of use text into a data format and sending it to the server, a means for the server to pass the received terms of use text to a generation AI engine to generate a summary, and a means for formatting the generated summary in a Q&A format. This allows the user to efficiently grasp the key points of the terms of use. The server also includes a means for marking up the generated summary and displaying it to the user, a means for inputting user feedback on the summary result, and a means for converting the feedback into a data format and sending it to the server, receiving and storing the feedback. This makes the contents of the terms of use easier to understand and promotes improvements by utilizing user feedback.

[1577] "Terms of Use Text" is a document that defines the terms of use of the service, prohibited actions, user responsibilities, etc.

[1578] "User" means the operator of a terminal that uses the service and accesses the terms of use page to view information.

[1579] A "server" is a computer system on a network that receives and processes data sent by users.

[1580] The "generative AI engine" is a system that uses an artificial intelligence algorithm to analyze the received terms of use text and automatically generate a summary.

[1581] "Q&A format" is a method of presenting information in the form of questions and answers.

[1582] "Formatting" is the processing of data into a particular shape or form.

[1583] "Markup" is the act of changing formatting to visually emphasize particularly important points.

[1584] "Feedback" is information that users provide with their opinions and evaluations of the summary results.

[1585] A "data format" is a form in which information is structured according to certain rules.

[1586] "Preservation" means the long-term retention of data or information.

[1587] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server and a generative AI engine to summarize the terms of use text in a Q&A format and present it to the user.

[1588] User Interface

[1589] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can view the summary results and provide feedback if necessary.

[1590] Terminal side processing

[1591] When the user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into a data format (e.g., JSON format), and sends it to the server. The user's feedback is also sent to the server in a similar data format. The specific data format is as follows:

[1592] json

[1593] {

[1594] "regulation_text": "By using this service, you agree to these terms and conditions..."

[1595] }

[1596] Server-side processing

[1597] The server receives the terms of use text from the device and passes it to the generative AI engine. The generative AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points and is sent back from the server to the device. The server is also responsible for receiving feedback from users and storing it in a database.

[1598] Generative AI engine processing

[1599] The Generative AI Engine uses natural language processing algorithms to analyze the received terms and conditions text and generate a summary based on the following factors:

[1600] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[1601] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1602] 3. Markup: Add visual effects, such as changing font size or color, to highlight particularly important points.

[1603] Specific examples

[1604] For example, if you had the following terms of use statement:

[1605] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1606] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[1607] Q1: What do I agree to when using the service?

[1608] A1: Users are deemed to have agreed to these terms and conditions.

[1609] Q2: What are the user's responsibilities?

[1610] A2: The user bears all responsibility regarding this service.

[1611] Q3: What are our rights?

[1612] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1613] By inputting this prompt into a generative AI model, the content of the terms of use can be analyzed and a summary in a Q&A format that is easy for users to understand can be generated, allowing users to understand the key points of the terms of use without missing anything.

[1614] By using this system, users' understanding can be improved and unexpected problems can be prevented. Furthermore, by utilizing user feedback, the content of the terms of use can be continuously improved, making this a beneficial system for service providers as well.

[1615] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1616] Program processing flow

[1617] Step 1:

[1618] The user accesses the terms of use page using a web browser and clicks the "Super Summary" button.

[1619] Specific behavior:

[1620] A user visits the Terms of Use page, finds the "Super Summary" button on the screen, and clicks it.

[1621] Input: User click action

[1622] Output: Request to launch "Super Summary" function

[1623] Step 2:

[1624] The terminal retrieves the terms of use text from the HTML DOM and converts it to JSON format.

[1625] Specific behavior:

[1626] The terminal script performs DOM manipulation to extract the terms of use text and parses it into JSON format.

[1627] Input: Terms of Use text data

[1628] Output: JSON format data

[1629] json

[1630] {

[1631] "regulation_text": "By using this service, you agree to these terms and conditions..."

[1632] }

[1633] Step 3:

[1634] The device sends the generated JSON data to the server.

[1635] Specific behavior:

[1636] The device uses an HTTP POST request to send JSON data to a server with a pre-configured endpoint.

[1637] Input: JSON format data

[1638] Output: Request data sent to the server

[1639] Step 4:

[1640] The server analyzes the JSON data received from the device and passes it to the generative AI engine.

[1641] Specific behavior:

[1642] The server parses the incoming request, extracts the terms of use text from the payload, and passes it to the generative AI engine.

[1643] Input: JSON data sent from the terminal

[1644] Output: Terms of Use text passed to the generative AI engine

[1645] Step 5:

[1646] The generative AI engine analyzes the terms of use text and summarizes key points in a Q&A format.

[1647] Specific behavior:

[1648] The generative AI engine uses natural language processing algorithms to extract key points in the text and convert it into a question and answer format.

[1649] Input: Terms of Use Text

[1650] Output: Q&A style summary

[1651] Q1: What do I agree to when using the service?

[1652] A1: Users are deemed to have agreed to these terms and conditions.

[1653] Step 6:

[1654] The generative AI engine marks up the generated Q&A-style summary and sends it back to the server.

[1655] Specific behavior:

[1656] Important points in the generated Q&A are marked up and visually emphasized by changing font size and color, etc.

[1657] Input: Q&A summary

[1658] Output: A marked-up Q&A summary

[1659] Step 7:

[1660] The server receives the summary result and sends it back to the terminal.

[1661] Specific behavior:

[1662] The server converts the received summary results into JSON format and returns it to the terminal as an HTTP response.

[1663] Input: A marked-up Q&A summary

[1664] Output: Response data to the terminal

[1665] Step 8:

[1666] The terminal displays the summary results on the screen.

[1667] Specific behavior:

[1668] The terminal embeds the received summary data into HTML and displays it on a web page.

[1669] Input: Response data from the server

[1670] Output: Summary results displayed on screen

[1671] Step 9:

[1672] The user views the displayed summary results and provides feedback.

[1673] Specific behavior:

[1674] The user checks the summary results and fills in their opinions and evaluations in the feedback form.

[1675] Input: User feedback input

[1676] Output: Feedback data

[1677] Step 10:

[1678] The device converts the feedback into JSON format and sends it to the server.

[1679] Specific behavior:

[1680] The device parses the feedback form data into JSON format and sends it to the server as an HTTP POST request.

[1681] Input: Feedback data

[1682] Output: Feedback data in JSON format sent to the server

[1683] Step 11:

[1684] The server receives the feedback and stores it in a database.

[1685] Specific behavior:

[1686] The server analyzes the received feedback data and stores it in a database. Feedback is used to improve the terms of use.

[1687] Input: Feedback data sent from the device

[1688] Output: Feedback data stored in a database

[1689] (Application example 1)

[1690] 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."

[1691] In conventional systems for terms of use, it was difficult for users to read the terms in detail, which meant they could miss important content. Furthermore, because the terms of use were complex and difficult to understand, users were unable to obtain sufficient information when using the service, which led to problems. Furthermore, for electronic payment services, it is extremely important for users to quickly understand the terms of use, and an effective method to support this was needed.

[1692] 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.

[1693] In this invention, the server includes: a means for a user to input or select terms of use text; a means for passing the terms of use text to a generative AI model to generate a summary; a means for formatting the generated summary in a question-and-answer format; a means for a user to access a terms of use page in an electronic payment service and concisely display the summary of the terms of use; a means for visually highlighting important points upon request; and a means for sending user feedback regarding the terms of use to the server and storing the received feedback in a database. This allows users to quickly and concisely understand the terms of use and grasp important points without missing any. Furthermore, collecting and storing user feedback can improve users' understanding of the terms of use and prevent problems from occurring.

[1694] "Terms of Use" refers to a set of conditions and rules agreed upon between users and providers when using a service.

[1695] "Summarizing" refers to summarizing a long piece of text or content into a concise, easy-to-understand format.

[1696] A "generative AI model" is a type of artificial intelligence program that uses natural language processing to understand text and convert it into a summary or other format.

[1697] The "question and answer format" is a method of displaying specific answers to specific questions in a set, making the information easier to understand.

[1698] "Electronic payment services" refers to payment services conducted via the Internet or other communications networks.

[1699] "Feedback" refers to reactions such as opinions, impressions, and questions received from users.

[1700] A "database" is a system that stores large amounts of data in an organized manner and manages them so that they can be easily searched and used.

[1701] "Markup" refers to the addition of visual effects to emphasize particular parts of text.

[1702] "Terminal" means an electronic device used by a user to enter or receive information.

[1703] A "server" refers to a computer system that provides data and services over a network.

[1704] The system for implementing this invention includes a terminal used by a user, a server, and a generative AI model. Each component and its operation will be described in detail below.

[1705] User Device

[1706] The devices used by users are electronic devices such as PCs, smartphones, and tablets. Using these devices, users access the terms of use page and click the "Super Summary" button. At this time, the user's device retrieves the terms of use text, converts it into JSON format, and sends it to the server.

[1707] server

[1708] The server receives the terms of use text sent from the user's device and passes it to the generative AI model. The generative AI model then analyzes the received text and generates a summary in the form of questions and answers. The generated summary is marked up to highlight particularly important points and is sent back to the user's device via the server. The server also receives feedback from users and stores it in a database.

[1709] Generative AI Models

[1710] The generative AI model uses a natural language processing algorithm to analyze the received terms of use text and generate a summary in the form of questions and answers based on the following elements: First, it extracts the important terms of use, then converts the summary into a question and answer format, and finally it applies markup to visually highlight particularly important points.

[1711] Specific examples

[1712] For example, if your terms of use statement looks like this:

[1713] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1714] The generative AI model parses this terms of use statement and generates a summary in the form of questions and answers, as follows:

[1715] Q1: What do I agree to when using the service?

[1716] A1: Users are deemed to have agreed to these terms and conditions.

[1717] Q2: What are the user's responsibilities?

[1718] A2: The user bears all responsibility regarding this service.

[1719] Q3: What are our rights?

[1720] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1721] In this way, users can concisely understand the key points of the terms of service. By inputting this prompt into a generative AI model, a summary in the form of questions and answers can be obtained. Through this entire process, users' understanding of the terms of service can be improved, preventing problems when using the service.

[1722] Hardware and software used

[1723] This system is implemented using the following hardware and software:

[1724] User devices: PC, smartphone, tablet

[1725] Server: Web server (web framework such as Flask)

[1726] Generative AI models: Natural language processing libraries (e.g., the pipeline function in the Transformers library)

[1727] With the above configuration, the present invention has the effect of helping users quickly understand the terms of use.

[1728] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1729] Step 1:

[1730] A user visits the Terms of Use page and clicks the "Super Summary" button.

[1731] Input: The "Super Summary" button clicked by the user

[1732] Output: The user device retrieves the terms of use text and prepares to send it to the server

[1733] Specific operation: When a user clicks the "Super Summary" button on the Terms of Use page, the user's device retrieves the Terms of Use text on the page and converts it into JSON format.

[1734] Step 2:

[1735] The device sends the terms of use text to the server.

[1736] Input: Terms of Use text in JSON format

[1737] Output: Terms of Use text sent to server

[1738] Specific operation: The terminal sends JSON data containing the original terms of use text to the server.

[1739] Step 3:

[1740] The server passes the received terms of use text to the generative AI model.

[1741] Input: Terms of Use text in JSON format sent to the server

[1742] Output: Input data to a generative AI model

[1743] Specific operation: The server parses the received terms of use text and converts its content into a format that can be input into the generative AI model.

[1744] Step 4:

[1745] A generative AI model analyzes the terms of use text and generates a summary in the form of questions and answers.

[1746] Input: Terms of Use text to be parsed

[1747] Output: Question and answer summary

[1748] How it works: The generative AI model uses natural language processing techniques to extract key points and summarize them in a question and answer format.

[1749] Step 5:

[1750] Use markup to visually emphasize important points.

[1751] Input: Question and answer summary

[1752] Output: A marked-up summary with the most important points highlighted

[1753] Specific behavior: Highlights the important parts of the generated question and answer text by making them bold or changing the color.

[1754] Step 6:

[1755] The server returns the marked-up summary to the user terminal.

[1756] Input: Marked up summary text

[1757] Output: Data sent to the user's device for display

[1758] Specific operation: The server sends the marked-up summary in JSON format to the user terminal.

[1759] Step 7:

[1760] The user views the summary results and provides feedback if desired.

[1761] Input: A summary of the questions and answers presented

[1762] Output: User feedback

[1763] Specific operation: The user checks the displayed summary and uses the interface for inputting feedback to send comments to the server.

[1764] Step 8:

[1765] The server receives the feedback from the user and stores it in a database.

[1766] Input: Feedback data from users

[1767] Output: Feedback stored in a database

[1768] Specific operation: The server analyzes the received feedback and stores it in a database in an appropriate format.

[1769] 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.

[1770] This invention is a system that allows users to view terms of use and regulations in a concise and easy-to-understand format. The system uses a server, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[1771] Overall system configuration

[1772] User Interface

[1773] Users can access the terms of use page on their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then view the summary results and provide feedback if necessary.

[1774] Terminal side processing

[1775] When a user clicks the "Super Summary" button, the device retrieves the terms of use text on the page, converts it into JSON format, and sends it to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[1776] Server-side processing

[1777] The server receives the terms of use text from the device and passes it to the generation AI engine. The generation AI engine analyzes the terms of use text and summarizes the important points in a Q&A format. The generated Q&A summary is marked up to highlight particularly important points.

[1778] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[1779] Emotion engine processing

[1780] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize their emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[1781] Generative AI engine processing

[1782] The generative AI engine uses natural language processing algorithms to analyze the received terms of use text and summarize it in Q&A format based on the following elements:

[1783] 1. Extraction of important terms and conditions: Extract key points such as terms of use, prohibited actions, and user responsibilities.

[1784] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1785] 3. Markup: Add visual effects to highlight particularly important points.

[1786] Specific examples

[1787] For example, if you had the following terms of use statement:

[1788] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1789] The generative AI engine parses this terms of use statement and summarizes it in a Q&A format as follows:

[1790] Q1: What do I agree to when using the service?

[1791] A1: Users are deemed to have agreed to these terms and conditions.

[1792] Q2: What are the user's responsibilities?

[1793] A2: The user bears all responsibility regarding this service.

[1794] Q3: What are our rights?

[1795] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1796] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary will remain concise.

[1797] By using this system, users can easily understand the important points of the terms of use and receive information that is tailored to their emotional state, making it possible to prevent unexpected problems. In this way, the present invention significantly improves understanding of the terms of use for various services.

[1798] The processing flow will be explained below.

[1799] Step 1:

[1800] User action: The user views the terms of use page and clicks the "Super Summary" button.

[1801] Step 2:

[1802] The device detects a click on the "Super Summary" button. The device retrieves the terms of use text on the page.

[1803] Step 3:

[1804] The terminal converts the acquired terms of use text into JSON format, and then prepares an HTTP POST request to send this JSON data to the server.

[1805] Step 4:

[1806] The device sends an HTTP POST request to the server, with the body of the request containing the terms of use text in JSON format.

[1807] Step 5:

[1808] The server receives an HTTP request from the device and extracts the terms of use text from the request body.

[1809] Step 6:

[1810] The server passes the terms of use text to the AI ​​engine, which then begins summarizing it.

[1811] Step 7:

[1812] A generative AI engine analyzes the terms of use text and uses natural language processing algorithms to extract key points from the text.

[1813] Step 8:

[1814] The generative AI engine summarizes the key points in a Q&A format and converts the extracted key points into a question and answer format.

[1815] Step 9:

[1816] The generative AI engine marks up the summary results to highlight the most important points, adding visual effects to highlight the important parts.

[1817] Step 10:

[1818] The generative AI engine returns the summary results to the server, which then receives the summary results.

[1819] Step 11:

[1820] The server passes the summary results to the emotion engine, which adjusts the summary results based on the user's emotional state.

[1821] Step 12:

[1822] The server works with an emotion engine to analyze the user's emotional state. The emotion engine analyzes the user's facial expressions and tone of voice to identify the emotional state.

[1823] Step 13:

[1824] An emotion engine adjusts summary results based on the user's emotional state, for example adding more detailed descriptions if the user is feeling anxious.

[1825] Step 14:

[1826] The emotion engine returns the adjusted summary result to the server, which then prepares the final summary result for sending back to the terminal.

[1827] Step 15:

[1828] The server converts the adjusted summary results into JSON format, and prepares an HTTP response to send this JSON data back to the device.

[1829] Step 16:

[1830] The server sends the summary results to the terminal as an HTTP response, with the response body containing the summary results in JSON format.

[1831] Step 17:

[1832] The terminal receives the HTTP response from the server and extracts the summary result from the response body.

[1833] Step 18:

[1834] The device displays the summary result to the user. The HTML DOM is updated and the summary result in Q&A format is displayed on the screen.

[1835] Step 19:

[1836] The user reviews the displayed summary results and, if necessary, takes action to provide feedback.

[1837] Step 20:

[1838] The user enters their feedback and clicks the submit button. The device detects this action.

[1839] Step 21:

[1840] The device converts the user's feedback into JSON format, then prepares an HTTP POST request to send this JSON data to the server.

[1841] Step 22:

[1842] The device sends an HTTP POST request to the server with the feedback, and the body of the request contains the feedback in JSON format.

[1843] Step 23:

[1844] The server receives a feedback request from the terminal, and extracts the feedback information from the body of the request.

[1845] Step 24:

[1846] The server stores the feedback information in a database, which helps improve the generative AI engine.

[1847] Example 2

[1848] 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."

[1849] Terms of use are generally long and difficult for users to understand in their entirety. Also, depending on the user's emotional state, certain information may seem overly important, which can hinder comprehension. Therefore, it is necessary to make the terms of use easy for users to understand by making them concise and adjusting the display to suit the user's emotional state.

[1850] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input or select a terms of use text, a means for transmitting the terms of use text to the server, a means for the server to pass the received terms of use text to a generation AI engine and generate a summary, a means for formatting the generated summary in a Q&A format, a means for displaying the formatted summary to the user, a means for analyzing the user's emotional state, and a means for adjusting the summary based on the emotional state. This makes it possible to concisely understand the important points of the terms of use and to provide an appropriate summary according to the user's emotional state.

[1851] "User" means an end user who uses the System to view or summarize the Terms of Use.

[1852] "Terms of Use Text" refers to the text that describes the terms and conditions of use and rules of the service that users view.

[1853] "Means" refer to hardware and software components for realizing a specific function.

[1854] A "server" is a computer system that processes information and provides data by communicating with terminals.

[1855] A "generative AI engine" is an artificial intelligence that analyzes received text and generates a summary.

[1856] "Q&A format" refers to a format in which text content is presented in the form of questions and answers.

[1857] "Display means" means an interface that allows a user to visually confirm information provided by the system.

[1858] "Emotional state" refers to the user's current psychological state, and is information inferred from facial expressions, voice, and text input patterns.

[1859] "Analysis methods" are algorithms or processes that analyze data and extract specific information.

[1860] "Means for adjusting" refers to the ability to change or optimize content based on acquired information.

[1861] This invention is a system that allows users to view terms of use and other clauses in a concise and easy-to-understand format. This system uses a server, a terminal, a generative AI engine, and an emotion engine to summarize the terms of use text in a Q&A format, and adjusts and displays the summary results according to the user's emotional state.

[1862] System Configuration

[1863] User Interface

[1864] Users access the terms of use page using their devices and click the "Super Summary" button to activate the system's summary generation function. Users can then review the summary results and provide feedback if necessary.

[1865] Terminal side processing

[1866] When the user clicks the "Super Summary" button, the device retrieves the terms of use text from the web page from the Document Object Model (DOM). The retrieved text is converted into JSON format and sent to the server. The device also sends the user's feedback information and emotional state in JSON format to the server.

[1867] Server-side processing

[1868] The server passes the terms of use text received from the device to the generation AI engine. The generation AI engine analyzes the text using a natural language processing algorithm and summarizes the important points in a Q&A format. The generated Q&A summary result is marked up to highlight particularly important points.

[1869] The generated summary is passed from the server to the emotion engine, which adjusts the summary based on the user's emotional state. The final summary is then sent back to the device. The server also receives feedback from the user and stores it in a database.

[1870] Emotion engine processing

[1871] The emotion engine analyzes the user's facial expressions, tone of voice, and text input patterns to recognize the user's emotional state. The resulting emotional information is used to adjust the summary results and reconfigure the markup to emphasize information that is likely to interest the user. Feedback from the emotion engine is also used to improve the algorithms of the generative AI engine.

[1872] Generative AI engine processing

[1873] The generative AI engine uses natural language processing algorithms to summarize the received terms of use text in a Q&A format based on the following elements:

[1874] 1. Extraction of important terms and conditions: Extract important points such as terms of use of the service, prohibited actions, and user responsibilities.

[1875] 2. Q&A format generation: Convert the extracted key points into a question and answer format.

[1876] 3. Markup: Add visual effects to highlight particularly important points.

[1877] Specific examples

[1878] For example, if your terms of use statement is:

[1879] By using this service, users are deemed to have agreed to these terms and conditions and are fully responsible for all aspects of this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1880] The generative AI engine summarizes this sentence in a Q&A format as follows:

[1881] Q1: What do I agree to when using the service?

[1882] A1: Users are deemed to have agreed to these terms and conditions.

[1883] Q2: What are the user's responsibilities?

[1884] A2: The user bears all responsibility regarding this service.

[1885] Q3: What are our rights?

[1886] A3: We reserve the right to take appropriate measures against any unauthorized use by users.

[1887] The emotion engine receives the summary generated so far and adjusts it according to the user's emotional state. For example, if the user is feeling anxious or suspicious, the emotion engine adjusts the summary to include more detailed explanations. Conversely, if the user is feeling reassured, the summary remains concise.

[1888] By using this system, users can easily understand the important points of the terms of use and receive information that is appropriate to their emotional state, making it possible to prevent unexpected problems from occurring.

[1889] Prompt Sentence Examples

[1890] The prompts for inputting natural language to a generative AI model are as follows:

[1891] "Please summarize the following terms of use in a Q&A format.

[1892] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1893] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1894] Step 1:

[1895] The user clicks the "Super Summary" button.

[1896] Input: User clicks on the "Super Summary" button

[1897] Output: A JavaScript event is triggered

[1898] Specifically, the user clicks the "Super Summary" button displayed on the terms of use page in a web browser. This action causes the JavaScript event listener to detect the click event and initiate the next processing step.

[1899] Step 2:

[1900] The terminal obtains the terms of use text, converts it to JSON format, and sends it to the server.

[1901] Input: The DOM of the web page after the user clicks

[1902] Output: Terms of Use text data in JSON format

[1903] Specifically, the device uses JavaScript to retrieve the terms of use text from the page's DOM, converts the retrieved text into JSON format using the JSON.stringify() function, and then sends the converted JSON data to the server using the fetch API or XMLHttpRequest.

[1904] Step 3:

[1905] The server passes the terms of use text to the generation AI engine.

[1906] Input: Terms of Use text data in JSON format sent from the terminal

[1907] Output: API request for the generative AI engine

[1908] Specifically, the server parses the received JSON data and sends an HTTP request to the API endpoint of the generative AI engine, including any necessary authentication information and parameters.

[1909] Step 4:

[1910] The generative AI engine generates a summary and returns it to the server.

[1911] Input: API request and terms of use text data sent from the server

[1912] Output: Text data summarized in Q&A format

[1913] Specifically, the generative AI engine uses natural language processing algorithms to analyze the text and extract key points, which are then converted into a question and answer format and sent back to the server as an API response.

[1914] Step 5:

[1915] The server passes the summary results to the emotion engine.

[1916] Input: Q&A format summary data returned from the generative AI engine

[1917] Output: API request for the emotion engine

[1918] Specifically, the server sends the received summary results to the emotion engine API as an HTTP request, which also includes the user's identification information and summary data.

[1919] Step 6:

[1920] The emotion engine analyzes the user's emotions and adjusts the summary content.

[1921] Input: User identification information and summary data in Q&A format sent from the server

[1922] Output: Adjusted summary data

[1923] Specifically, the emotion engine analyzes data acquired from cameras and microphones to determine the user's emotional state. Depending on the user's emotion, it adjusts the summary results, adding or removing information. The adjusted summary data is then sent back to the server.

[1924] Step 7:

[1925] The server sends the final summary result to the terminal.

[1926] Input: Adjusted summary data returned from the sentiment engine

[1927] Output: HTTP response for the device

[1928] Specifically, the server receives the adjusted summary data and sends it to the terminal as an HTTP response, which includes the formatted summary data.

[1929] Step 8:

[1930] The terminal displays the summary results for the user to view.

[1931] Input: Adjusted summary data received from the server

[1932] Output: A user-visible summary of the results

[1933] Specifically, the device analyzes the received summary data and displays it on the screen. The summary is presented in a Q&A format to make it easier for users to understand visually. Users can review the displayed content and provide feedback if necessary.

[1934] (Application example 2)

[1935] 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."

[1936] Existing systems make it difficult for users to understand lengthy and complex terms and conditions. Furthermore, the system does not adjust the summaries based on the user's emotional state, preventing users from feeling comfortable understanding the terms and conditions. Furthermore, the system does not adequately collect and utilize feedback on the terms and conditions, preventing the accuracy and usefulness of the summaries from being improved.

[1937] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for the user to input or select terms of use text, means for transmitting the terms of use text to the server, means for passing the terms of use text received by the server to a generation AI engine to generate a summary, means for formatting the generated summary in a Q&A format, means for displaying the formatted summary to the user, means for analyzing the user's emotional state, and means for adjusting the summary based on the user's emotional state. This allows the user to easily understand the terms of use and provides information according to their emotions, preventing unexpected problems from occurring.

[1938] "User" means a person who uses an information system or service.

[1939] "Terms of Use Text" refers to a document that describes the conditions and rules for using the service.

[1940] A "server" is a computer system that is connected to a network and stores and processes data.

[1941] A "generative AI engine" is an artificial intelligence program that analyzes input text data and performs summarization and information generation.

[1942] A "summary" is a short summary of important information extracted from a long piece of text.

[1943] "Q&A format" refers to a format that presents information in the form of questions and answers.

[1944] "Display" means visually conveying data or information to a user.

[1945] An "emotional state" is the emotional or psychological state that a person is feeling.

[1946] "Analysis" means examining data or information in detail to understand its content and clarify its structure and meaning.

[1947] "Adjustment" means changing data and system settings to suit a purpose and bringing them into an optimal state.

[1948] "Feedback" means collecting opinions and evaluation information from users and using it to improve systems and services.

[1949] The present invention provides a system for providing terms of use in a simple and understandable format. To implement this system, the following hardware and software are used.

[1950] The core hardware of this system includes a terminal (such as a smartphone) that accepts user input and a server that processes data. Users use this system by accessing the terms of use page using a terminal such as a smartphone and clicking the "Super Summary" button. The terminal is responsible for sending the terms of use text and feedback information to the server.

[1951] The following software is implemented on the server side:

[1952] 1. Generative AI engine:

[1953] Using Google's BERT and OpenAI's GPT, the received terms of use text is analyzed, key points are extracted, and summarized in a Q&A format.

[1954] This summary is marked up to highlight important points.

[1955] 2. Emotion Engine:

[1956] It uses Microsoft Azure's Face API and Google Cloud Speech-to-Text API to analyze the user's emotional state.

[1957] It collects facial images and voice data from the user and adjusts the summary results according to the user's emotional state, such as whether they are feeling safe or anxious.

[1958] The server passes the terms of use text to a generative AI engine to generate a summary, then sends the generated Q&A-style summary to an emotion engine to adjust it based on the user's emotional state. The adjusted summary is then sent back to the device and displayed to the user. The user can view the summary and provide feedback if necessary, which is then received by the server and stored in a database.

[1959] For example:

[1960] For example, a user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. The server receives this face image and the terms of use text, and the generative AI engine first analyzes the terms of use text to generate a Q&A style summary. The emotion engine then analyzes the face image and adds a detailed explanation to the summary if the user feels uneasy. As a result, the summary is displayed to the user in the following format:

[1961] "Generate a summary of the following text:

[1962] By using this service, users are deemed to have agreed to these terms and conditions and will bear all responsibility related to this service. Furthermore, we reserve the right to take appropriate measures against any unauthorized use by users.

[1963] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1964] Step 1:

[1965] The user takes a picture of their face with their smartphone camera and clicks the "Super Summary" button. In response to this action, the device obtains the terms of use text and their face image. The input is the user's face image and the terms of use text, and the output is the data converted into JSON format and sent to the server.

[1966] Step 2:

[1967] The server receives the JSON data from the device. The input is the JSON data sent from the device, and the output is the terms of use text and data that individually extracts the user's facial image. Here, the terms of use text is passed to the generative AI engine.

[1968] Step 3:

[1969] The generative AI engine analyzes the terms of use text, extracts key points, and summarizes them in a Q&A format. The input is the terms of use text, and the output is summary data in a Q&A format. The generative AI engine does this using a natural language processing algorithm.

[1970] Step 4:

[1971] The generated Q&A-style summary is passed from the server to the emotion engine. The input is the Q&A-style summary data and the user's facial image, and the output is the adjusted summary data. The emotion engine analyzes the user's facial image and adjusts the summary based on the user's emotional state.

[1972] Step 5:

[1973] The server receives the summary data adjusted by the emotion engine and sends it back to the device. The input is the adjusted summary data, and the output is the final summary data sent to the device. This allows the user to view the summary results on their smartphone.

[1974] Step 6:

[1975] The user views the displayed summary results and provides feedback. The input is the user's feedback, and the output is the feedback data sent to the server in JSON format.

[1976] Step 7:

[1977] The server receives feedback from users and stores it in a database. The input is the feedback data sent from the device, and the output is the feedback information stored in the database. This allows the system to improve the accuracy of future summary generation.

[1978] 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.

[1979] 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.

[1980] 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.

[1981] 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.

[1982] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1983] 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.

[1984] 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).

[1985] 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.

[1986] 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."

[1987] 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.

[1988] 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).

[1989] 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.

[1990] 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.

[1991] 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.

[1992] 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.

[1993] 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.

[1994] 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.

[1995] 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.

[1996] 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.

[1997] 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.

[1998] 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.

[1999] The following is further disclosed regarding the above embodiment.

[2000] (Claim 1)

[2001] In a system for summarizing terms of use,

[2002] A means for the user to enter or select the terms of use text;

[2003] means for transmitting the terms of use text to a server;

[2004] a means for passing the received terms of use text to a generation AI engine to generate a summary;

[2005] means for formatting the generated summary in a Q&A format;

[2006] means for displaying said formatted summary to a user;

[2007] A system including:

[2008] (Claim 2)

[2009] a means for inputting user feedback on the summary results;

[2010] 10. The system of claim 1, further comprising means for transmitting the feedback to a server and for receiving and storing the feedback.

[2011] (Claim 3)

[2012] 10. The system of claim 1, further comprising means for marking up particularly important points in a prominent manner when generating a summary.

[2013] "Example 1"

[2014] (Claim 1)

[2015] A means for the user to enter or select the terms of use text;

[2016] means for converting the terms of use text into a data format and transmitting the data to a server;

[2017] a means for passing the received terms of use text to a generation AI engine to generate a summary;

[2018] means for formatting the generated summary in a Q&A format;

[2019] means for marking up and displaying said formatted summary to a user;

[2020] A system including:

[2021] (Claim 2)

[2022] a means for inputting user feedback on the summary results;

[2023] 2. The system of claim 1, further comprising means for converting the feedback into a data format and transmitting the data to a server, and means for receiving and storing the feedback.

[2024] (Claim 3)

[2025] 2. The system according to claim 1, further comprising means for marking up particularly important points in a form that makes them visually prominent when generating a summary.

[2026] "Application Example 1"

[2027] (Claim 1)

[2028] In a system for summarizing terms of use,

[2029] A means for the user to enter or select the terms of use text;

[2030] means for transmitting the terms of use text to a server;

[2031] A means for passing the received terms of use text to a generative AI model to generate a summary;

[2032] means for formatting the generated summary in a question and answer format;

[2033] means for displaying said formatted summary to a user;

[2034] A means for allowing a user to access a terms of use page in an electronic payment service and for briefly displaying a summary of the terms of use;

[2035] A means to visually highlight key points on demand; and

[2036] means for transmitting user feedback regarding the Terms of Use to a server and storing the received feedback in a database;

[2037] A system including:

[2038] (Claim 2)

[2039] a means for inputting user feedback on the summary results;

[2040] 10. The system of claim 1, further comprising means for transmitting the feedback to a server and for receiving and storing the feedback.

[2041] (Claim 3)

[2042] 10. The system of claim 1, further comprising means for marking up particularly important points in a prominent manner when generating a summary.

[2043] "Example 2: Combining Emotion Engines"

[2044] (Claim 1)

[2045] A means for the user to enter or select the terms of use text;

[2046] means for transmitting the terms of use text to a server;

[2047] a means for passing the received terms of use text to a generation AI engine to generate a summary;

[2048] means for formatting the generated summary in a Q&A format;

[2049] means for displaying said formatted summary to a user;

[2050] a means for analyzing the emotional state of a user;

[2051] means for adjusting a summary based on said emotional state;

[2052] A system including:

[2053] (Claim 2)

[2054] a means for inputting user feedback on the summary results;

[2055] 10. The system of claim 1, further comprising means for transmitting the feedback to a server and for receiving and storing the feedback.

[2056] (Claim 3)

[2057] 10. The system of claim 1, further comprising means for marking up particularly important points in a prominent manner when generating a summary.

[2058] "Application example 2 when combining emotion engines"

[2059] (Claim 1)

[2060] A means for the user to enter or select the terms of use text;

[2061] means for transmitting the terms of use text to a server;

[2062] a means for passing the received terms of use text to a generation AI engine to generate a summary;

[2063] means for formatting the generated summary in a Q&A format;

[2064] means for displaying said formatted summary to a user;

[2065] a means for analyzing the emotional state of a user;

[2066] means for adjusting the summary based on the emotional state of the user;

[2067] A system including:

[2068] (Claim 2)

[2069] a means for inputting user feedback on the summary results;

[2070] 10. The system of claim 1, further comprising means for transmitting the feedback to a server and for receiving and storing the feedback.

[2071] (Claim 3)

[2072] 10. The system of claim 1, further comprising means for marking up particularly important points in a prominent manner when generating a summary. [Explanation of symbols]

[2073] 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. In a system for summarizing terms of use, A means for the user to enter or select the terms of use text; means for transmitting the terms of use text to a server; A means for passing the received terms of use text to a generation AI engine to generate a summary; means for formatting the generated summary in a Q&A format; means for displaying said formatted summary to a user; A system including:

2. a means for inputting user feedback on the summary results; 10. The system of claim 1, further comprising means for transmitting the feedback to a server and for receiving and storing the feedback.

3. 2. The system of claim 1, further comprising means for marking up particularly important points in a prominent manner during summary generation.

Images