System

Abstract

A system is provided.SOLUTION: A system for supporting a user's self-perception of gender and gender understanding, comprising: (a) means for receiving and storing user registration information in a database; (b) means for providing a quiz survey; (c) means for storing answer data received from the user; (d) means for analyzing the stored answer data and generating feedback; and (e) means for providing the analyzed feedback 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] Gender self-identification and gender understanding are becoming increasingly important topics in modern society. However, many people lack appropriate support to understand and accept their own gender identity and gender. As a result, individual mental health and social inclusion are often hindered. Another problem is the lack of concrete tools to promote inclusion in families, schools, and workplaces. Therefore, there is a need for an effective system to support gender self-identification and gender understanding and promote acceptance and diversity. [Means for solving the problem]

[0005] The present invention provides a system for supporting a user's self-identification of sexuality and gender understanding. Specifically, the system includes the following means:

[0006] (a) Means for receiving user registration information and storing it in a database: A user registers via a terminal, and the information is stored in a database by the server.

[0007] (b) Means for providing quizzes and surveys: Provides means for users to take quizzes and surveys about their sexual identity and gender. The server obtains the content of the quiz and sends it to the terminal.

[0008] (c) Means for storing response data received from users: Provides a means for the server to store data in a database when users respond to quizzes and surveys.

[0009] (d) Means for analyzing stored response data and generating feedback: The server provides a means for analyzing the user's response data stored in the database and generating feedback based on the data.

[0010] (e) Means for providing analyzed feedback to the user: The server sends the generated feedback to the user's terminal, and provides a means for the user to receive the feedback.

[0011] These tools allow users to better understand their sexual identity and gender, promoting acceptance and diversity.

[0012] "User Registration Information" means the username, password, and other personal identification information provided by a User to access the System.

[0013] "Database" refers to the electronic information storage system used to store and manage user registration information, quiz / survey data, and user response data.

[0014] "Quiz Survey" refers to an interactive software tool that provides users with questions and options to deepen their sexual identity and understanding of gender.

[0015] "Response Data" refers to the options selected by users and the response information entered by users in response to quizzes and surveys.

[0016] "Feedback" refers to information and advice provided to users that is generated as a result of analyzing user response data.

[0017] "Analyzing" is the process by which the server evaluates and analyzes the user's response data.

[0018] "Terminal" refers to an electronic device such as a computer, smartphone, or tablet that a User uses to access the System.

[0019] "Server" refers to a computer system that receives user registration information and response data, analyzes them, generates feedback, and communicates with user terminals.

[0020] "Session information" is data including a user's login status and identification information, and is used to identify a user during a series of operations.

[0021] "Storing" refers to the process of storing data in a storage device such as a database so that it is not lost. [Brief explanation of the drawings]

[0022] [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

[0023] 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.

[0024] First, the terms used in the following description will be explained.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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."

[0030] [First embodiment]

[0031] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0032] 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.

[0033] 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).

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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."

[0043] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and includes the following main elements:

[0044] 1. User Registration and Login

[0045] Server processing

[0046] A user first accesses the system and registers by entering a username and password. The server receives this information, hashes the password, and stores it in a database, improving security. Similarly, when logging in, the server validates the username and password entered and starts a session if they match.

[0047] Specific examples

[0048] A user registers with the system with the username "example_user" and the password "example_password". The server hashes "example_password" and stores it in the database along with "example_user". When the user attempts to log in at a later date, the server validates the password using the same steps and, if correct, redirects them to the dashboard.

[0049] 2. Providing quizzes and surveys

[0050] Server processing

[0051] The server provides the user with the prepared quiz survey data, and the user accesses the quiz page and displays the quiz survey sent from the server on their device.

[0052] Specific examples

[0053] When a user accesses the quiz page, the server provides a quiz question asking, "How do you identify yourself?". Answer options include "Male," "Female," "Non-binary," and "Other." This data is provided in JSON format and displayed on the user's device.

[0054] 3. Accepting responses through interactive exchanges

[0055] Server processing

[0056] When a user answers a quiz or survey, their device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database. This process ensures that each user's answers are securely managed.

[0057] Specific examples

[0058] The user answers the quiz, selecting "non-binary" as the answer, and hits the submit button. The server receives this answer, associates it with a user named "example_user," and stores it in the database.

[0059] 4. Displaying results and feedback

[0060] Server processing

[0061] The server analyzes the user's response data stored in the database and generates personalized feedback. When the user requests feedback, the server sends the analysis results to the user's device and displays the feedback.

[0062] Specific examples

[0063] When a user requests feedback based on their answers, the server generates feedback such as "You identify as non-binary," along with relevant advice and resource information, which is then sent to the device and displayed to the user.

[0064] Overall system flow

[0065] Users access the system via their terminals, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, then generates and provides feedback to users. This allows users to deepen their sexual self-awareness and gender understanding.

[0066] This invention not only helps users to understand themselves better, but also promotes inclusiveness in society as a whole. Through specific processes and feedback, users can better understand and accept themselves.

[0067] The processing flow will be explained below.

[0068] 1. User Registration and Login

[0069] User Registration

[0070] Step 1:

[0071] The user accesses the new registration form from their device and enters their username and password.

[0072] Step 2:

[0073] The device sends the entered username and password to the server.

[0074] Step 3:

[0075] The server receives the username and password.

[0076] Step 4:

[0077] The server hashes the password.

[0078] Step 5:

[0079] The server stores the hashed password and username in a database.

[0080] Step 6:

[0081] The server sends a registration completion message to the terminal.

[0082] User login

[0083] Step 1:

[0084] The user accesses the login form from the device and enters their username and password.

[0085] Step 2:

[0086] The device sends the entered username and password to the server.

[0087] Step 3:

[0088] The server receives the username and password and checks it against the information in its database.

[0089] Step 4:

[0090] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[0091] 2. Providing quizzes and surveys

[0092] Step 1:

[0093] The user accesses the quiz page from their device.

[0094] Step 2:

[0095] The server receives the request and retrieves the quiz data from a database or internal memory.

[0096] Step 3:

[0097] The server sends the acquired quiz data in JSON format to the terminal.

[0098] Step 4:

[0099] The terminal displays the received quiz data to the user.

[0100] 3. Accepting responses through interactive exchanges

[0101] Step 1:

[0102] The user answers the quiz and transmits the answer data from the terminal to the server.

[0103] Step 2:

[0104] The server receives the response data.

[0105] Step 3:

[0106] The server identifies the response data based on the user session and stores it in a database.

[0107] 4. Displaying results and feedback

[0108] Step 1:

[0109] The user accesses the results page from their device and requests feedback.

[0110] Step 2:

[0111] The server retrieves the user's response data from the database.

[0112] Step 3:

[0113] The server analyzes the acquired response data.

[0114] Step 4:

[0115] The server generates feedback based on the analysis results.

[0116] Step 5:

[0117] The server generates feedback and sends it to the user's device.

[0118] Step 6:

[0119] The device displays feedback to the user.

[0120] Specific examples

[0121] User Registration:

[0122] Step 1: User enters "example_user" and "example_password".

[0123] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[0124] Quiz Survey:

[0125] Step 1: User visits the quiz page.

[0126] Steps 2-4: The server sends the quiz data and the device displays it.

[0127] Response acceptance:

[0128] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[0129] feedback:

[0130] Steps 1-6: The user requests feedback, the server generates analytical data, and displays it on the device.

[0131] In this way, it is clear what specific actions the server, terminal, and user will take at each step, and the overall flow of the system can be understood.

[0132] Example 1

[0133] 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."

[0134] In modern society, deepening sexual self-awareness and understanding of gender is becoming increasingly important, but effective tools to support this are lacking. Conventional methods often only provide general information that lacks individuality when supporting users' self-awareness to deepen their understanding of their gender. Therefore, there is a need for a system that can provide specific, personalized feedback tailored to each user's individual situation.

[0135] 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.

[0136] In this invention, the server includes means for receiving a user name and password, hashing the password, and storing the hashed password in a database, means for providing quiz survey data, means for storing the quiz survey response data received from the user in the database based on session information, means for analyzing the stored response data and generating personalized feedback, and means for providing the generated feedback to the user, thereby enabling users to safely and effectively deepen their sexual self-identification and gender understanding.

[0137] "Username" is a unique identifier used to identify a user within the system.

[0138] A "password" is a secret string of characters used to authenticate a user.

[0139] "Hashing" is a process in which original data is converted based on a certain algorithm into a format that makes it extremely difficult to revert to the original data.

[0140] A "database" is a system for organizing, storing, and managing data.

[0141] A "quiz survey" is a series of questions or questionnaires designed to pose questions to users and to deepen their sexual self-identification and gender understanding based on their answers.

[0142] "Response Data" means the data of the answers entered by a User in response to a Quiz / Survey.

[0143] "Session information" means information used to track user activity and identify each session as a series of operations.

[0144] "Analysis" is the process of examining and evaluating collected data to extract useful information from it.

[0145] "Feedback" is a response or advice generated based on a user's actions and input, providing information that helps users deepen their own understanding.

[0146] A "means" refers to a method or device used to achieve a particular purpose.

[0147] The system of the present invention is designed to support users' self-identification of sexuality and understanding of gender. This system has functions for user registration and login, providing quizzes and surveys, accepting answers through interactive exchanges, and displaying and providing feedback on the results. Details of each element are described below.

[0148] User Registration and Login

[0149] A user first accesses the system and registers by entering their username and password. The device sends this information to the server. The server receives the password, hashes it using the bcrypt library, and stores it in a database along with the username. In this way, the user information remains secure. Similarly, when a user logs in, the device sends the entered username and password to the server, which then checks it against the hashed password stored in the database.

[0150] Providing quizzes and surveys

[0151] The server prepares pre-prepared quiz survey data in JSON format. When a user accesses the quiz page through their device, the quiz survey data is sent from the server to the device and displayed to the user. A specific example is the quiz "How do you identify yourself?", with options of "Male," "Female," "Non-binary," and "Other."

[0152] Interactive response reception

[0153] When a user answers a quiz or survey, the device sends the answer data to the server, which then receives the answer data and stores it in a database based on the user session information. This ensures that each user's answers are managed securely.

[0154] Results display and feedback

[0155] When a user requests feedback, the server analyzes the response data stored in the database and generates personalized feedback. The server then adds relevant advice and resource information to the user along with the analysis results and sends them to the device. The device receives this and displays it to the user, allowing them to deepen their sexual self-awareness and gender understanding.

[0156] Hardware and software used

[0157] Server: General-purpose cloud service

[0158] Database Management System: Relational Database

[0159] Front-end framework: JavaScript (registered trademark) library

[0160] Backend Framework: JavaScript Environment

[0161] Security Library: Password Hashing Library

[0162] Examples of concrete examples and prompts

[0163] Examples of specific prompts include:

[0164] English:"Please provide a quiz titled 'How do you identify yourself?' with options 'Male', 'Female', 'Non-binary', and 'Other'."

[0165] English: "Take the quiz titled 'How do you identify yourself?' with the options 'Male,' 'Female,' 'Non-binary,' and 'Other.'"

[0166] The system is an effective tool for users to deepen their sexual self-awareness and gender understanding, and provides personalized assistance to promote users' understanding of themselves.

[0167] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0168] Divide the processing flow of this system's program into processing steps

[0169] Step 1: User Registration

[0170] Step 2: User Login

[0171] Step 3: Offer a quiz or survey

[0172] Step 4: Accept quiz / survey responses

[0173] Step 5: Request and view feedback

[0174] Specific explanation of each processing step

[0175] Step 1: User Registration

[0176] Input: The user enters a username and password.

[0177] How it works: The terminal sends the input data to the server, which receives the password, hashes it using the bcrypt library, and stores the username and hashed password in a database.

[0178] Output: User information is securely stored in a database.

[0179] Specific behavior:

[0180] When a user enters the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and stores it in the database along with "example_user."

[0181] Step 2: User Login

[0182] Input: The user enters a username and password.

[0183] How it works: The device sends the entered data to the server. The server receives the data, hashes the entered password, and compares it with the hashed password stored in the database. If the match is successful, it starts a session and redirects the user to the dashboard.

[0184] Output: A session is started and the user is redirected to the dashboard.

[0185] Specific behavior:

[0186] When a user attempts to log in by entering the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and checks it against the hashed password stored in the database. If the match is successful, the user is redirected to the dashboard.

[0187] Step 3: Offer a quiz or survey

[0188] Input: User visits the quiz page.

[0189] How it works: The device sends a request for a quiz page to the server. The server prepares the pre-prepared quiz / survey data in JSON format and sends it to the device. The device then displays the received data to the user.

[0190] Output: The quiz survey will be displayed on your terminal.

[0191] Specific behavior:

[0192] The server prepares the quiz data "How do you identify yourself?" in JSON format. When a user accesses the quiz page, the device sends a request to the server. The server sends the quiz data to the device, which then displays it.

[0193] Step 4: Accept quiz / survey responses

[0194] Input: User answers the quiz.

[0195] Operation: The device sends the user's answer data to the server. The server receives the answer data and stores it in a database based on the user session information.

[0196] Output: The response data is saved in the database.

[0197] Specific behavior:

[0198] When a user selects the "non-binary" option in the quiz and presses the submit button, the device sends the data to the server, which receives the answer data and stores it in a database based on the user session information.

[0199] Step 5: Request and view feedback

[0200] Input: User requests feedback.

[0201] Operation: The server analyzes the response data stored in the database and generates personalized feedback. The generated feedback is sent to the device. The device displays the feedback to the user.

[0202] Output: Feedback is displayed to the user.

[0203] Specific behavior:

[0204] When a user requests feedback, the server analyzes the response data stored in the database and generates feedback such as "You identify as non-binary," along with any relevant advice or resource information, and sends it to the device, which receives it and displays it to the user.

[0205] (Application example 1)

[0206] 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."

[0207] Currently, many individuals have incorrect perceptions and take insufficient security measures without a deep understanding of their gender identity or security risks. Therefore, there is a need for comprehensive support tools that combine improving self-awareness and understanding security risks. The challenge is to enable individuals not only to understand their own gender but also to take appropriate security measures.

[0208] 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.

[0209] In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing a quiz / survey, means for storing answer data received from users, means for analyzing the stored answer data and generating feedback, means for generating the analyzed feedback based on both gender self-identification and security risks, and means for providing users with feedback including points for improvement regarding security risks. This not only supports users' self-awareness but also enables the improvement of individual security awareness.

[0210] "User Registration Information" means the personal identification information provided by a User to access the System, which typically includes a username and password.

[0211] A "quiz survey" is a series of questions or questionnaires that users complete to assess their gender identity and knowledge of security risks.

[0212] "Response data" is information generated by users answering quizzes and surveys.

[0213] A "database" is a data structure or system for efficiently storing, managing, and searching user registration information and response data.

[0214] "Analysis" is the act of examining collected data to find specific patterns and trends.

[0215] "Feedback" is individualized advice and information generated based on the user's response data, with the aim of deepening the user's understanding.

[0216] "Gender self-identity" refers to how a user identifies with their gender, that is, their self-understanding of what gender they perceive themselves as.

[0217] "Security Risk" means the potential danger or threat that arises from the failure to protect user information or assets from unauthorized access or use.

[0218] "Security risk improvements" are specific measures and actions that users should take to strengthen their current security measures and protect themselves from unauthorized access and use.

[0219] The present invention is a system for supporting users' gender self-identification and understanding of security risks, and includes the following main elements:

[0220] 1. User Registration and Login

[0221] The server first receives the user's registration information (username and password), hashes the password for added security, and stores it in the database. This information is used when the user logs in to the system. For example, a user registers to the system with the username "example_user" and the password "example_password." The server hashes "example_password" and stores it in the database along with "example_user."

[0222] 2. Providing quizzes and surveys

[0223] The server provides quizzes and surveys that users can access. These quizzes and surveys include questions related to gender identity and security risks. When a user accesses the quiz page, the server displays questions such as "How do you identify yourself?" and "Is your password strong?"

[0224] 3. Accepting responses through interactive exchanges

[0225] When a user answers a quiz or survey, their device sends the data to a server. The server receives the data, identifies it based on the user session, and stores it in a database. This ensures that each user's answers are securely managed. For example, a user answers a quiz with the options "non-binary" and "don't know" and then presses the submit button.

[0226] 4. Displaying results and feedback

[0227] The server analyzes the user's response data stored in a database and generates personalized feedback. This feedback includes improvements regarding gender identity and security risks. When a user requests feedback, the server generates and provides feedback such as "You identify as non-binary" as well as security advice such as "You need to be careful with your password management."

[0228] Hardware and software used

[0229] This system is realized using the following hardware and software.

[0230] Hardware: Web servers, database servers, user devices (PCs, smartphones, tablets, etc.)

[0231] Software: Flask (web framework), SQLite (database management system), Werkzeug.security (password hashing library)

[0232] Specific prompt examples

[0233] Below is an example of an actual prompt sentence.

[0234] Username: example_user

[0235] Password: example_password

[0236] Answer: Non-binary, I don't know

[0237] This will enable users to understand their gender and provide a system that will increase their security awareness.

[0238] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0239] Step 1:

[0240] The server receives the user's registration information. The user accesses the system and enters their username and password. The server receives this entered information, hashes the password, and stores it in the database. For example, if the username is "example_user" and the password is "example_password," the password will be hashed and stored.

[0241] Step 2:

[0242] The server provides quiz and surveys. When a user accesses a quiz page, the server sends pre-prepared quiz and survey data to the user's device. This data is provided in JSON format, and questions such as "How do you identify yourself?" are displayed.

[0243] Step 3:

[0244] Users answer quizzes and surveys, and the device sends the answer data to the server. Specifically, if the user answers "non-binary" or "don't know," this data is sent.

[0245] Step 4:

[0246] The server stores the received answer data in a database. The submitted answer data is identified based on the user session, associated with "example_user," and stored in the database. This process allows each user's answers to be managed accurately.

[0247] Step 5:

[0248] The server analyzes the responses stored in the database, scrutinizing the collected data to find patterns and trends related to gender identity and security risks, and generating appropriate feedback based on this analysis.

[0249] Step 6:

[0250] The server generates feedback based on the analysis results. Based on the user's response data, it generates personalized feedback about gender identity and security risks. Specifically, it includes the feedback "You identify as non-binary" and security advice "You need to be careful with your password management."

[0251] Step 7:

[0252] The server provides the generated feedback to the user. When the user requests feedback, the server sends the feedback data to the user's device, which displays the data and provides the user with appropriate advice or information.

[0253] Each of these steps allows users to understand their gender and receive specific feedback to increase their security awareness.

[0254] 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.

[0255] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and by combining it with an emotion engine, it recognizes the user's emotional state and provides feedback based on that.

[0256] 1. User Registration and Login

[0257] Server processing

[0258] A user accesses the system and registers by entering their username and password. The server receives this information, hashes the password, and stores it in a database. Upon login, the server checks the username and password against the database, and if they match, starts a session and redirects them to the dashboard.

[0259] 2. Providing quizzes and surveys

[0260] Server processing

[0261] The server provides the user with the prepared quiz survey data. The user accesses the quiz page and displays the quiz survey sent from the server on their device.

[0262] 3. Accepting responses through interactive exchanges

[0263] Server processing

[0264] When a user answers a quiz or survey, the device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database.

[0265] 4. Emotion recognition and storage using the emotion engine

[0266] Processing by server and terminal

[0267] The emotion engine recognizes emotional data by inputting the user's emotional state during or after answering a quiz or survey, or through facial recognition or voice analysis. The device then sends this emotional data to the server, which stores it in a database. This creates an individual profile that includes the user's emotional data.

[0268] Specific examples

[0269] The device captures the user's facial expressions with a camera and sends them to an emotion engine, and the server receives and stores emotional data such as "happiness" or "sadness."

[0270] 5. Displaying results and feedback

[0271] Server processing

[0272] The server analyzes the user's response data and emotional data stored in the database to generate personalized feedback. When the user requests feedback, the server sends the analysis results to the device and displays the feedback. By taking emotional data into account, more personalized feedback can be provided.

[0273] Specific examples

[0274] The user answers "non-binary" and the emotion engine navigates through "anxiety." Based on this, the server generates and provides feedback to the user, such as "resources to deepen understanding" or "counseling services."

[0275] Overall system flow

[0276] Users access the system via their terminal, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, and uses an emotion engine to generate and provide feedback that takes the user's emotions into account. This allows users to deepen their sexual self-awareness and gender understanding, and receive support that also addresses emotional aspects.

[0277] This invention is a powerful tool for supporting users' self-awareness and promoting a friendly and inclusive social environment. The introduction of an emotion engine enables multifaceted feedback that takes into account the user's psychological aspects.

[0278] The processing flow will be explained below.

[0279] User Registration and Login

[0280] User Registration

[0281] Step 1:

[0282] The user accesses the new registration form from their device and enters their username and password.

[0283] Step 2:

[0284] The device sends the entered username and password to the server.

[0285] Step 3:

[0286] The server receives the username and password.

[0287] Step 4:

[0288] The server hashes the password.

[0289] Step 5:

[0290] The server stores the hashed password and username in a database.

[0291] Step 6:

[0292] The server sends a registration completion message to the terminal.

[0293] User login

[0294] Step 1:

[0295] The user accesses the login form from the device and enters their username and password.

[0296] Step 2:

[0297] The device sends the entered username and password to the server.

[0298] Step 3:

[0299] The server receives the username and password and checks it against the information in its database.

[0300] Step 4:

[0301] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[0302] Providing quizzes and surveys

[0303] Step 1:

[0304] The user accesses the quiz page from their device.

[0305] Step 2:

[0306] The server receives the request and retrieves the quiz data from a database or internal memory.

[0307] Step 3:

[0308] The server sends the acquired quiz data in JSON format to the terminal.

[0309] Step 4:

[0310] The terminal displays the received quiz data to the user.

[0311] Interactive response reception

[0312] Step 1:

[0313] The user answers the quiz and transmits the answer data from the terminal to the server.

[0314] Step 2:

[0315] The server receives the response data.

[0316] Step 3:

[0317] The server identifies the response data based on the user session and stores it in a database.

[0318] Emotion recognition and storage using an emotion engine

[0319] Collecting Emotional Data

[0320] Step 1:

[0321] Emotional data is collected using the device's camera and microphone while users answer quizzes and surveys.

[0322] Step 2:

[0323] The device sends the collected emotion data to the emotion engine.

[0324] Step 3:

[0325] The emotion engine analyzes the user's emotional state and generates specific emotion data (e.g., "joy," "sadness," "anxiety," etc.).

[0326] Step 4:

[0327] The terminal transmits the emotion data received from the emotion engine to the server.

[0328] Step 5:

[0329] The server stores the emotion data in a database.

[0330] Results display and feedback

[0331] Generating and Providing Feedback

[0332] Step 1:

[0333] The user accesses the results page from their device and requests feedback.

[0334] Step 2:

[0335] The server retrieves the user's response data and emotion data from the database.

[0336] Step 3:

[0337] The server analyzes the acquired data and generates personalized feedback.

[0338] Step 4:

[0339] The server generates feedback and sends it to the user's device.

[0340] Step 5:

[0341] The device displays feedback to the user.

[0342] Specific examples

[0343] User Registration:

[0344] Step 1: User enters "example_user" and "example_password".

[0345] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[0346] Quiz Survey:

[0347] Step 1: User visits the quiz page.

[0348] Steps 2-4: The server sends the quiz data and the device displays it.

[0349] Response acceptance:

[0350] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[0351] Emotion Engine:

[0352] Steps 1-5: The device collects, analyzes, and transmits emotional data such as "joy" or "sadness" via the emotion engine, and the server stores it in a database.

[0353] feedback:

[0354] Steps 1-5: The user requests feedback, the server generates analytical data, and displays it on the device.

[0355] In this way, by clearly showing what actions the server, terminal, and user perform at each step, the specific implementation process of the system can be understood.

[0356] Example 2

[0357] 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."

[0358] Current systems that support users' sexual self-awareness and gender understanding lack personalized support because they do not take into account their emotional state. They are also limited in providing specific feedback needed to deepen users' self-understanding. Therefore, there is a need for a system that can accurately recognize users' emotional state and provide detailed feedback based on that data.

[0359] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing quiz / surveys, means for storing answer data received from the user, means for recognizing the user's emotional state and storing the emotional data in a database, means for analyzing the stored answer data and emotional data and generating feedback, and means for providing the analyzed feedback to the user. This makes it possible to provide personalized feedback that also takes into account the user's emotional state.

[0360] "User" refers to an individual who uses the System and accesses the System to answer quizzes and surveys in order to deepen their sexual self-awareness and gender understanding.

[0361] "Registration Information" means the personally identifiable information provided by a User when accessing the System, including, but not limited to, a username and password.

[0362] "Database" refers to a storage device or system for storing registration information, response data, and emotion data, which enables the retention and management of user information.

[0363] "Quiz / Survey" means a series of questions or questionnaires provided to users to enhance their sexual self-identification and gender understanding.

[0364] "Response Data" means the information you provide when responding to a quiz or survey, including your selections and entries.

[0365] "Session Information" means temporary identification information for a user while they are accessing the system, which allows us to track and manage individual user activity.

[0366] "Emotional state" refers to the user's mental and psychological state, including emotions such as "joy" and "sadness" that the system recognizes through means such as facial recognition and voice analysis.

[0367] "Emotional data" refers to data about the user's emotional state that the system recognizes, which allows it to generate more appropriate feedback.

[0368] "Feedback" refers to advice and information generated by the system based on the user's response data and emotional data, providing support to deepen the user's sexual self-awareness and gender understanding.

[0369] "Analysis" refers to a series of calculations and data processing to process the stored data and generate optimal feedback for the user.

[0370] The system of the present invention is a comprehensive tool to support users' self-identification of sexuality and gender understanding, and combines an emotion engine to recognize the user's emotional state and provide feedback based on it. This system is mainly implemented using a server, a terminal, and a generative AI model.

[0371] 1. User Registration and Login

[0372] Users access the system through a terminal and enter their username and password. The server receives this, hashes the password, and stores it in a database. When a user logs in, the server checks the username and password and, if they match, starts a session and redirects them to the dashboard. The software used includes the Django framework and a PostgreSQL database.

[0373] 2. Providing quizzes and surveys

[0374] When a user accesses a quiz / survey page, the server sends the quiz / survey data in JSON format to the device, which uses JavaScript to render this data in HTML format and display it to the user.

[0375] 3. Accepting responses through interactive exchanges

[0376] When a user completes a quiz or survey, the data is sent via an Ajax request to the server, which receives the data, identifies it based on the user's session information, and stores it in a database.

[0377] 4. Emotion recognition and storage using the emotion engine

[0378] Emotional data is collected through the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes the emotional data using, for example, Amazon Rekognition or Google® Cloud Vision. The server receives this data and stores it in a database to create individual user profiles.

[0379] 5. Displaying results and feedback

[0380] When a user requests feedback, the server analyzes the response data and emotional data stored in the database and generates the feedback using a generative AI model (e.g., GPT-3 (registered trademark)). This allows for personalized feedback that takes into account the user's emotional state. For example, if a user answers "non-binary" and the emotional data indicates "anxiety," the server generates feedback suggesting "resources for deeper understanding" and "counseling services."

[0381] Prompt Sentence Examples

[0382] "Generate personalized feedback for each user based on their quiz answers and sentiment data. The quiz answers are {answer content}, and the sentiment data is {sentiment content}."

[0383] Through these steps, users can deepen their understanding of their sexuality and gender and receive emotional support. The system provides multifaceted feedback that also takes into account the user's psychological aspects, making it a powerful tool for promoting a friendly and inclusive social environment.

[0384] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0385] Step 1: User Registration

[0386] A user visits a registration page on their device and enters their username and password. The server receives this information, hashes the password, and stores it in a database.

[0387] Input: Username and Password.

[0388] Data processing: Password hashing.

[0389] Output: Hashed password and username stored in the database.

[0390] Specific behavior:

[0391] A user accesses a registration page (e.g., / register) on a terminal and enters the username "example_user" and password "example_pass." The server receives the data using the Django framework, hashes the password with bcrypt, and stores it in a PostgreSQL database.

[0392] Step 2: Log in

[0393] A user visits a login page and enters their username and password. The server receives the data and checks it against the information in its database. If it matches, it starts a session and redirects them to the dashboard.

[0394] Input: Username and Password.

[0395] Data operation: Hashing the entered password and matching it with the hash in the database.

[0396] Output: If there is a match, a session is started and the user is redirected to the dashboard.

[0397] Specific behavior:

[0398] A user visits a login page (e.g., / login) and enters the username "example_user" and password "example_pass." The server hashes the entered password and checks it against the hash in the database. If it matches, it starts a Django session and redirects the user to the dashboard (e.g., / dashboard).

[0399] Step 3: Offer a quiz or survey

[0400] When a user accesses a quiz / survey page, the server sends the quiz / survey data to the device and displays it.

[0401] Input: A request to access the quiz / survey page.

[0402] Data processing: Acquiring quiz and survey data and converting it to JSON format.

[0403] Output: Quiz / survey data is sent to the device and displayed.

[0404] Specific behavior:

[0405] A user visits a quiz / survey page (e.g., / quiz), the server sends pre-prepared quiz / survey data in JSON format to the device, which uses JavaScript to render the quiz / survey in HTML format and displays it to the user.

[0406] Step 4: Accepting responses

[0407] When a user answers a quiz or survey, the data is sent from the device to the server, which receives the data, identifies the user based on their session information, and stores it in a database.

[0408] Input: User quiz / survey answer data.

[0409] Data processing: Receiving and storing response data.

[0410] Output: The response data is saved in the database.

[0411] Specific behavior:

[0412] A user enters answers into a quiz / survey and the data is sent to the server via an Ajax request (e.g. POST / submit-quiz). The server receives the POST request in a Django view and inserts the answers into a database.

[0413] Step 5: Emotion Recognition

[0414] Emotion data is collected using the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes this data and sends it to the server. The server receives the emotion data and stores it in a database.

[0415] Input: Emotional data collected on the device (e.g., facial recognition, speech analysis).

[0416] Data Computing: Emotional Data Analysis and Recognition.

[0417] Output: The emotion data is sent to the server and stored in a database.

[0418] Specific behavior:

[0419] The device's camera captures the user's facial expressions and analyzes them using Amazon Rekognition. The emotion engine generates emotion data such as "happiness" or "sadness" and sends it to the server. The server receives this emotion data and stores it in a database.

[0420] Step 6: Analysis and feedback generation

[0421] When a user requests feedback, the server analyzes the response data and emotion data and generates feedback using a generative AI model.

[0422] Input: User response data and sentiment data.

[0423] Data Computation: Analyzing data and generating feedback using generative AI models.

[0424] Output: Personalized feedback

[0425] Specific behavior:

[0426] The server retrieves the answer data and emotion data stored in the database and sends a prompt to the generative AI model (e.g., GPT-3) saying, "Please generate personalized feedback for the user based on the quiz answer and emotion data. The quiz answer is {Answer content}, and the emotion data is {Emotion content}." The generated feedback is sent to the user's device and displayed.

[0427] Step 7: View results and provide feedback

[0428] The server generates feedback and sends it to the terminal, which displays it to the user.

[0429] Input: Generated feedback.

[0430] Data processing: Sending and displaying feedback.

[0431] Output: Feedback is displayed to the user.

[0432] Specific behavior:

[0433] The user requests feedback on the dashboard, the server generates the feedback and sends it in JSON format to the device, which uses JavaScript to render the feedback in HTML format and display it to the user.

[0434] Through these specific processing steps, users receive detailed and personalized feedback to deepen their sexual self-awareness and gender understanding.

[0435] (Application example 2)

[0436] 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."

[0437] Conventional gender awareness support systems only provide unindividualized feedback because they do not take into account the user's emotional state. Furthermore, there is a lack of convenient systems that users can access while on the move or during counseling sessions in physical stores. This makes it difficult to provide appropriate support tailored to the user's psychological and emotional needs.

[0438] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for receiving and storing user registration information in a database, a means for providing quiz / surveys, and a means for storing answer data received from users. This makes it possible to promote understanding of a user's gender and provide personalized feedback that takes into account their emotional state. In addition, by collecting and analyzing user emotional data using cameras and voice analysis, it becomes possible to understand the user's psychological and emotional state and provide enhanced support in physical stores.

[0439] "User Registration Information" means the personal and identifying information provided by a User when accessing the System.

[0440] The "database" is a system for storing and managing user registration information, quiz and survey response data, and emotional data.

[0441] "Quiz / Survey" means questions or surveys provided to assist users in their sexual self-identification and gender understanding.

[0442] "Response Data" means data generated by a user's response to a quiz or survey.

[0443] "Emotional state" refers to the emotions a user experiences during and after taking a quiz or survey.

[0444] "Emotional data" refers to data that reflects the user's emotional state and is obtained through facial recognition, voice analysis, etc.

[0445] "Feedback" refers to advice and information provided based on the user's response data and emotional data.

[0446] The "camera" is an image capture device that captures the user's facial expressions and recognizes their emotional state.

[0447] "Voice analysis" refers to a technology that captures a user's voice and analyzes their emotional state.

[0448] "Smartphone" means a mobile information terminal used by a user to access the system.

[0449] "Smart glasses" are devices that allow users to access systems while visually acquiring information.

[0450] A "brick and mortar store" is a location that a user can physically visit and that offers goods or services.

[0451] "Session information" refers to information about a series of operations and interactions while a user is accessing a system.

[0452] "Analysis" is the process of extracting information from collected data and making sense of it.

[0453] "Personalization" means tailoring and delivering feedback in a way that best suits each user.

[0454] "Personalization" is a synonym for individualization and refers to responding to and providing services tailored to each individual user.

[0455] This invention is a system for supporting users' sexual self-identification and gender understanding, and uses an emotion engine to recognize the user's emotional state and provide personalized feedback based on this. This system can also be used in brick-and-mortar stores using smartphones or smart glasses.

[0456] System Configuration

[0457] The system consists of the following main components:

[0458] 1. User Registration / Login

[0459] Server: A user accesses the system and registers by entering their name and password. The registration information is hashed on the server and stored in a database. Upon login, the server verifies the provided credentials and starts a session.

[0460] Smartphones and smart glasses: These devices allow users to access the system, register and log in.

[0461] 2. Providing quizzes and surveys

[0462] Server: Prepares the quiz / survey data and serves it to the user. When the user visits the quiz page, the server displays the quiz / survey.

[0463] 3. Accepting responses through interactive exchanges

[0464] Smartphones / smart glasses: Users answer quizzes and surveys and send the response data to a server.

[0465] Server: Saves the received response data in a database and manages it in association with session information.

[0466] 4. Emotion Recognition by Emotion Engine

[0467] Smartphones and smart glasses: Capture the user's emotional state using cameras and voice analysis.

[0468] Server: Analyzes the captured emotion data and stores it in a database. The analysis uses a generative AI model.

[0469] 5. Displaying results and feedback

[0470] Server: Analyzes the user's response data and emotion data stored in the database and generates personalized feedback, which is provided to the user via their smartphone or smart glasses.

[0471] Hardware and software used

[0472] Hardware:

[0473] Smartphones and smart glasses

[0474] Camera and Microphone

[0475] software:

[0476] Emotion Engine

[0477] Database Management Systems

[0478] Server Software

[0479] Smartphone application

[0480] Specific examples

[0481] For example, if a user wears smart glasses and answers questions while walking around a physical store, the camera in the smart glasses will capture the user's facial expressions and the emotion engine will detect emotions such as "anxiety." The server will analyze this information and provide the user with feedback such as "counseling services" or "deep breathing guides to relieve stress."

[0482] Prompt Sentence Examples

[0483] Collect emotional data about the user's experience while taking the quiz, and if they feel anxious, provide guidance to reduce stress, such as deep breathing or relaxation techniques.

[0484] In this way, it is possible to support users' sexual self-awareness and gender understanding, and by providing emotional feedback, it is possible to provide support that also addresses the users' psychological and emotional needs.

[0485] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0486] Step 1: User Registration and Login

[0487] A user accesses the system through a smartphone or smart glasses and enters their name and password.

[0488] The server receives the entered registration information, hashes the password, stores it in a database, then matches the same information upon login, and if a match occurs, starts a session and redirects the user to the dashboard.

[0489] Input: Username, Password

[0490] Output: Session started, dashboard displayed

[0491] Data processing: password hashing

[0492] Operation: Authentication processing, session management

[0493] Step 2: Offer a quiz or survey

[0494] The server retrieves the prepared quiz survey data and sends the quiz survey content to the terminal when the user accesses the quiz page.

[0495] Input: Quiz / Survey Request

[0496] Output: Quiz / Survey screen display

[0497] Data processing: Acquiring and sending quiz and survey data

[0498] Action: Send data

[0499] Step 3: Interactive response

[0500] The user answers quizzes and surveys, and the terminal sends the answer data to the server.

[0501] The server receives the response data, stores it in a database, and manages the data in association with session information.

[0502] Input: Quiz response data

[0503] Output: Save to database

[0504] Data processing: Receiving and storing response data, associating it with session information

[0505] Action: Save data

[0506] Step 4: Emotion Recognition with the Emotion Engine

[0507] The device (smartphone, smart glasses) uses a camera and microphone to capture the user's facial expressions and voice.

[0508] The server analyzes the acquired data using an emotion engine to recognize the emotional state, and the analysis results are stored in a database.

[0509] Input: facial expression data, voice data

[0510] Output: Emotion data

[0511] Data processing: Analysis of facial expressions and voice data, recognition of emotional states

[0512] Actions: Emotion recognition, data storage

[0513] Step 5: Viewing results and feedback

[0514] The server analyzes the user's response data and emotional data stored in the database and generates personalized feedback.

[0515] The server sends the generated feedback to the terminal, allowing the user to view the feedback on their smartphone or smart glasses.

[0516] Input: Answer data, emotion data

[0517] Output: Feedback display

[0518] Data processing: Data analysis, feedback generation

[0519] Action: Provide feedback

[0520] These steps allow users to deepen their sexual self-awareness and gender understanding, and also provide feedback that takes into account their emotional state.

[0521] 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.

[0522] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0523] 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.

[0524] [Second embodiment]

[0525] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0526] 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.

[0527] 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).

[0528] 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.

[0529] 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.

[0530] 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).

[0531] 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.

[0532] 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.

[0533] 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.

[0534] 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.

[0535] 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.

[0536] 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."

[0537] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and includes the following main elements:

[0538] 1. User Registration and Login

[0539] Server processing

[0540] A user first accesses the system and registers by entering a username and password. The server receives this information, hashes the password, and stores it in a database, improving security. Similarly, when logging in, the server validates the username and password entered and starts a session if they match.

[0541] Specific examples

[0542] A user registers with the system with the username "example_user" and the password "example_password". The server hashes "example_password" and stores it in the database along with "example_user". When the user attempts to log in at a later date, the server validates the password using the same steps and, if correct, redirects them to the dashboard.

[0543] 2. Providing quizzes and surveys

[0544] Server processing

[0545] The server provides the user with the prepared quiz survey data, and the user accesses the quiz page and displays the quiz survey sent from the server on their device.

[0546] Specific examples

[0547] When a user accesses the quiz page, the server provides a quiz question asking, "How do you identify yourself?". Answer options include "Male," "Female," "Non-binary," and "Other." This data is provided in JSON format and displayed on the user's device.

[0548] 3. Accepting responses through interactive exchanges

[0549] Server processing

[0550] When a user answers a quiz or survey, their device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database. This process ensures that each user's answers are securely managed.

[0551] Specific examples

[0552] The user answers the quiz, selecting "non-binary" as the answer, and hits the submit button. The server receives this answer, associates it with a user named "example_user," and stores it in the database.

[0553] 4. Displaying results and feedback

[0554] Server processing

[0555] The server analyzes the user's response data stored in the database and generates personalized feedback. When the user requests feedback, the server sends the analysis results to the user's device and displays the feedback.

[0556] Specific examples

[0557] When a user requests feedback based on their answers, the server generates feedback such as "You identify as non-binary," along with relevant advice and resource information, which is then sent to the device and displayed to the user.

[0558] Overall system flow

[0559] Users access the system via their terminals, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, then generates and provides feedback to users. This allows users to deepen their sexual self-awareness and gender understanding.

[0560] This invention not only helps users to understand themselves better, but also promotes inclusiveness in society as a whole. Through specific processes and feedback, users can better understand and accept themselves.

[0561] The processing flow will be explained below.

[0562] 1. User Registration and Login

[0563] User Registration

[0564] Step 1:

[0565] The user accesses the new registration form from their device and enters their username and password.

[0566] Step 2:

[0567] The device sends the entered username and password to the server.

[0568] Step 3:

[0569] The server receives the username and password.

[0570] Step 4:

[0571] The server hashes the password.

[0572] Step 5:

[0573] The server stores the hashed password and username in a database.

[0574] Step 6:

[0575] The server sends a registration completion message to the terminal.

[0576] User login

[0577] Step 1:

[0578] The user accesses the login form from the device and enters their username and password.

[0579] Step 2:

[0580] The device sends the entered username and password to the server.

[0581] Step 3:

[0582] The server receives the username and password and checks it against the information in its database.

[0583] Step 4:

[0584] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[0585] 2. Providing quizzes and surveys

[0586] Step 1:

[0587] The user accesses the quiz page from their device.

[0588] Step 2:

[0589] The server receives the request and retrieves the quiz data from a database or internal memory.

[0590] Step 3:

[0591] The server sends the acquired quiz data in JSON format to the terminal.

[0592] Step 4:

[0593] The terminal displays the received quiz data to the user.

[0594] 3. Accepting responses through interactive exchanges

[0595] Step 1:

[0596] The user answers the quiz and transmits the answer data from the terminal to the server.

[0597] Step 2:

[0598] The server receives the response data.

[0599] Step 3:

[0600] The server identifies the response data based on the user session and stores it in a database.

[0601] 4. Displaying results and feedback

[0602] Step 1:

[0603] The user accesses the results page from their device and requests feedback.

[0604] Step 2:

[0605] The server retrieves the user's response data from the database.

[0606] Step 3:

[0607] The server analyzes the acquired response data.

[0608] Step 4:

[0609] The server generates feedback based on the analysis results.

[0610] Step 5:

[0611] The server generates feedback and sends it to the user's device.

[0612] Step 6:

[0613] The device displays feedback to the user.

[0614] Specific examples

[0615] User Registration:

[0616] Step 1: User enters "example_user" and "example_password".

[0617] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[0618] Quiz Survey:

[0619] Step 1: User visits the quiz page.

[0620] Steps 2-4: The server sends the quiz data and the device displays it.

[0621] Response acceptance:

[0622] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[0623] feedback:

[0624] Steps 1-6: The user requests feedback, the server generates analytical data, and displays it on the device.

[0625] In this way, it is clear what specific actions the server, terminal, and user will take at each step, and the overall flow of the system can be understood.

[0626] Example 1

[0627] 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."

[0628] In modern society, deepening sexual self-awareness and understanding of gender is becoming increasingly important, but effective tools to support this are lacking. Conventional methods often only provide general information that lacks individuality when supporting users' self-awareness to deepen their understanding of their gender. Therefore, there is a need for a system that can provide specific, personalized feedback tailored to each user's individual situation.

[0629] 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.

[0630] In this invention, the server includes means for receiving a user name and password, hashing the password, and storing the hashed password in a database, means for providing quiz survey data, means for storing the quiz survey response data received from the user in the database based on session information, means for analyzing the stored response data and generating personalized feedback, and means for providing the generated feedback to the user, thereby enabling users to safely and effectively deepen their sexual self-identification and gender understanding.

[0631] "Username" is a unique identifier used to identify a user within the system.

[0632] A "password" is a secret string of characters used to authenticate a user.

[0633] "Hashing" is a process in which original data is converted based on a certain algorithm into a format that makes it extremely difficult to revert to the original data.

[0634] A "database" is a system for organizing, storing, and managing data.

[0635] A "quiz survey" is a series of questions or questionnaires designed to pose questions to users and to deepen their sexual self-identification and gender understanding based on their answers.

[0636] "Response Data" means the data of the answers entered by a User in response to a Quiz / Survey.

[0637] "Session information" means information used to track user activity and identify each session as a series of operations.

[0638] "Analysis" is the process of examining and evaluating collected data to extract useful information from it.

[0639] "Feedback" is a response or advice generated based on a user's actions and input, providing information that helps users deepen their own understanding.

[0640] A "means" refers to a method or device used to achieve a particular purpose.

[0641] The system of the present invention is designed to support users' self-identification of sexuality and understanding of gender. This system has functions for user registration and login, providing quizzes and surveys, accepting answers through interactive exchanges, and displaying and providing feedback on the results. Details of each element are described below.

[0642] User Registration and Login

[0643] A user first accesses the system and registers by entering their username and password. The device sends this information to the server. The server receives the password, hashes it using the bcrypt library, and stores it in a database along with the username. In this way, the user information remains secure. Similarly, when a user logs in, the device sends the entered username and password to the server, which then checks it against the hashed password stored in the database.

[0644] Providing quizzes and surveys

[0645] The server prepares pre-prepared quiz survey data in JSON format. When a user accesses the quiz page through their device, the quiz survey data is sent from the server to the device and displayed to the user. A specific example is the quiz "How do you identify yourself?", with options of "Male," "Female," "Non-binary," and "Other."

[0646] Interactive response reception

[0647] When a user answers a quiz or survey, the device sends the answer data to the server, which then receives the answer data and stores it in a database based on the user session information. This ensures that each user's answers are managed securely.

[0648] Results display and feedback

[0649] When a user requests feedback, the server analyzes the response data stored in the database and generates personalized feedback. The server then adds relevant advice and resource information to the user along with the analysis results and sends them to the device. The device receives this and displays it to the user, allowing them to deepen their sexual self-awareness and gender understanding.

[0650] Hardware and software used

[0651] Server: General-purpose cloud service

[0652] Database Management System: Relational Database

[0653] Front-end frameworks: JavaScript libraries

[0654] Backend Framework: JavaScript Environment

[0655] Security Library: Password Hashing Library

[0656] Examples of concrete examples and prompts

[0657] Examples of specific prompts include:

[0658] English:"Please provide a quiz titled 'How do you identify yourself?' with options 'Male', 'Female', 'Non-binary', and 'Other'."

[0659] English: "Take the quiz titled 'How do you identify yourself?' with the options 'Male,' 'Female,' 'Non-binary,' and 'Other.'"

[0660] The system is an effective tool for users to deepen their sexual self-awareness and gender understanding, and provides personalized assistance to promote users' understanding of themselves.

[0661] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0662] Divide the processing flow of this system's program into processing steps

[0663] Step 1: User Registration

[0664] Step 2: User Login

[0665] Step 3: Offer a quiz or survey

[0666] Step 4: Accept quiz / survey responses

[0667] Step 5: Request and view feedback

[0668] Specific explanation of each processing step

[0669] Step 1: User Registration

[0670] Input: The user enters a username and password.

[0671] How it works: The terminal sends the input data to the server, which receives the password, hashes it using the bcrypt library, and stores the username and hashed password in a database.

[0672] Output: User information is securely stored in a database.

[0673] Specific behavior:

[0674] When a user enters the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and stores it in the database along with "example_user."

[0675] Step 2: User Login

[0676] Input: The user enters a username and password.

[0677] How it works: The device sends the entered data to the server. The server receives the data, hashes the entered password, and compares it with the hashed password stored in the database. If the match is successful, it starts a session and redirects the user to the dashboard.

[0678] Output: A session is started and the user is redirected to the dashboard.

[0679] Specific behavior:

[0680] When a user attempts to log in by entering the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and checks it against the hashed password stored in the database. If the match is successful, the user is redirected to the dashboard.

[0681] Step 3: Offer a quiz or survey

[0682] Input: User visits the quiz page.

[0683] How it works: The device sends a request for a quiz page to the server. The server prepares the pre-prepared quiz / survey data in JSON format and sends it to the device. The device then displays the received data to the user.

[0684] Output: The quiz survey will be displayed on your terminal.

[0685] Specific behavior:

[0686] The server prepares the quiz data "How do you identify yourself?" in JSON format. When a user accesses the quiz page, the device sends a request to the server. The server sends the quiz data to the device, which then displays it.

[0687] Step 4: Accept quiz / survey responses

[0688] Input: User answers the quiz.

[0689] Operation: The device sends the user's answer data to the server. The server receives the answer data and stores it in a database based on the user session information.

[0690] Output: The response data is saved in the database.

[0691] Specific behavior:

[0692] When a user selects the "non-binary" option in the quiz and presses the submit button, the device sends the data to the server, which receives the answer data and stores it in a database based on the user session information.

[0693] Step 5: Request and view feedback

[0694] Input: User requests feedback.

[0695] Operation: The server analyzes the response data stored in the database and generates personalized feedback. The generated feedback is sent to the device. The device displays the feedback to the user.

[0696] Output: Feedback is displayed to the user.

[0697] Specific behavior:

[0698] When a user requests feedback, the server analyzes the response data stored in the database and generates feedback such as "You identify as non-binary," along with any relevant advice or resource information, and sends it to the device, which receives it and displays it to the user.

[0699] (Application example 1)

[0700] 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."

[0701] Currently, many individuals have incorrect perceptions and take insufficient security measures without a deep understanding of their gender identity or security risks. Therefore, there is a need for comprehensive support tools that combine improving self-awareness and understanding security risks. The challenge is to enable individuals not only to understand their own gender but also to take appropriate security measures.

[0702] 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.

[0703] In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing a quiz / survey, means for storing answer data received from users, means for analyzing the stored answer data and generating feedback, means for generating the analyzed feedback based on both gender self-identification and security risks, and means for providing users with feedback including points for improvement regarding security risks. This not only supports users' self-awareness but also enables the improvement of individual security awareness.

[0704] "User Registration Information" means the personal identification information provided by a User to access the System, which typically includes a username and password.

[0705] A "quiz survey" is a series of questions or questionnaires that users complete to assess their gender identity and knowledge of security risks.

[0706] "Response data" is information generated by users answering quizzes and surveys.

[0707] A "database" is a data structure or system for efficiently storing, managing, and searching user registration information and response data.

[0708] "Analysis" is the act of examining collected data to find specific patterns and trends.

[0709] "Feedback" is individualized advice and information generated based on the user's response data, with the aim of deepening the user's understanding.

[0710] "Gender self-identity" refers to how a user identifies with their gender, that is, their self-understanding of what gender they perceive themselves as.

[0711] "Security Risk" means the potential danger or threat that arises from the failure to protect user information or assets from unauthorized access or use.

[0712] "Security risk improvements" are specific measures and actions that users should take to strengthen their current security measures and protect themselves from unauthorized access and use.

[0713] The present invention is a system for supporting users' gender self-identification and understanding of security risks, and includes the following main elements:

[0714] 1. User Registration and Login

[0715] The server first receives the user's registration information (username and password), hashes the password for added security, and stores it in the database. This information is used when the user logs in to the system. For example, a user registers to the system with the username "example_user" and the password "example_password." The server hashes "example_password" and stores it in the database along with "example_user."

[0716] 2. Providing quizzes and surveys

[0717] The server provides quizzes and surveys that users can access. These quizzes and surveys include questions related to gender identity and security risks. When a user accesses the quiz page, the server displays questions such as "How do you identify yourself?" and "Is your password strong?"

[0718] 3. Accepting responses through interactive exchanges

[0719] When a user answers a quiz or survey, their device sends the data to a server. The server receives the data, identifies it based on the user session, and stores it in a database. This ensures that each user's answers are securely managed. For example, a user answers a quiz with the options "non-binary" and "don't know" and then presses the submit button.

[0720] 4. Displaying results and feedback

[0721] The server analyzes the user's response data stored in a database and generates personalized feedback. This feedback includes improvements regarding gender identity and security risks. When a user requests feedback, the server generates and provides feedback such as "You identify as non-binary" as well as security advice such as "You need to be careful with your password management."

[0722] Hardware and software used

[0723] This system is realized using the following hardware and software.

[0724] Hardware: Web servers, database servers, user devices (PCs, smartphones, tablets, etc.)

[0725] Software: Flask (web framework), SQLite (database management system), Werkzeug.security (password hashing library)

[0726] Specific prompt examples

[0727] Below is an example of an actual prompt sentence.

[0728] Username: example_user

[0729] Password: example_password

[0730] Answer: Non-binary, I don't know

[0731] This will enable users to understand their gender and provide a system that will increase their security awareness.

[0732] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0733] Step 1:

[0734] The server receives the user's registration information. The user accesses the system and enters their username and password. The server receives this entered information, hashes the password, and stores it in the database. For example, if the username is "example_user" and the password is "example_password," the password will be hashed and stored.

[0735] Step 2:

[0736] The server provides quiz and surveys. When a user accesses a quiz page, the server sends pre-prepared quiz and survey data to the user's device. This data is provided in JSON format, and questions such as "How do you identify yourself?" are displayed.

[0737] Step 3:

[0738] Users answer quizzes and surveys, and the device sends the answer data to the server. Specifically, if the user answers "non-binary" or "don't know," this data is sent.

[0739] Step 4:

[0740] The server stores the received answer data in a database. The submitted answer data is identified based on the user session, associated with "example_user," and stored in the database. This process allows each user's answers to be managed accurately.

[0741] Step 5:

[0742] The server analyzes the responses stored in the database, scrutinizing the collected data to find patterns and trends related to gender identity and security risks, and generating appropriate feedback based on this analysis.

[0743] Step 6:

[0744] The server generates feedback based on the analysis results. Based on the user's response data, it generates personalized feedback about gender identity and security risks. Specifically, it includes the feedback "You identify as non-binary" and security advice "You need to be careful with your password management."

[0745] Step 7:

[0746] The server provides the generated feedback to the user. When the user requests feedback, the server sends the feedback data to the user's device, which displays the data and provides the user with appropriate advice or information.

[0747] Each of these steps allows users to understand their gender and receive specific feedback to increase their security awareness.

[0748] 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.

[0749] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and by combining it with an emotion engine, it recognizes the user's emotional state and provides feedback based on that.

[0750] 1. User Registration and Login

[0751] Server processing

[0752] A user accesses the system and registers by entering their username and password. The server receives this information, hashes the password, and stores it in a database. Upon login, the server checks the username and password against the database, and if they match, starts a session and redirects them to the dashboard.

[0753] 2. Providing quizzes and surveys

[0754] Server processing

[0755] The server provides the user with the prepared quiz survey data. The user accesses the quiz page and displays the quiz survey sent from the server on their device.

[0756] 3. Accepting responses through interactive exchanges

[0757] Server processing

[0758] When a user answers a quiz or survey, the device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database.

[0759] 4. Emotion recognition and storage using the emotion engine

[0760] Processing by server and terminal

[0761] The emotion engine recognizes emotional data by inputting the user's emotional state during or after answering a quiz or survey, or through facial recognition or voice analysis. The device then sends this emotional data to the server, which stores it in a database. This creates an individual profile that includes the user's emotional data.

[0762] Specific examples

[0763] The device captures the user's facial expressions with a camera and sends them to an emotion engine, and the server receives and stores emotional data such as "happiness" or "sadness."

[0764] 5. Displaying results and feedback

[0765] Server processing

[0766] The server analyzes the user's response data and emotional data stored in the database to generate personalized feedback. When the user requests feedback, the server sends the analysis results to the device and displays the feedback. By taking emotional data into account, more personalized feedback can be provided.

[0767] Specific examples

[0768] The user answers "non-binary" and the emotion engine navigates through "anxiety." Based on this, the server generates and provides feedback to the user, such as "resources to deepen understanding" or "counseling services."

[0769] Overall system flow

[0770] Users access the system via their terminal, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, and uses an emotion engine to generate and provide feedback that takes the user's emotions into account. This allows users to deepen their sexual self-awareness and gender understanding, and receive support that also addresses emotional aspects.

[0771] This invention is a powerful tool for supporting users' self-awareness and promoting a friendly and inclusive social environment. The introduction of an emotion engine enables multifaceted feedback that takes into account the user's psychological aspects.

[0772] The processing flow will be explained below.

[0773] User Registration and Login

[0774] User Registration

[0775] Step 1:

[0776] The user accesses the new registration form from their device and enters their username and password.

[0777] Step 2:

[0778] The device sends the entered username and password to the server.

[0779] Step 3:

[0780] The server receives the username and password.

[0781] Step 4:

[0782] The server hashes the password.

[0783] Step 5:

[0784] The server stores the hashed password and username in a database.

[0785] Step 6:

[0786] The server sends a registration completion message to the terminal.

[0787] User login

[0788] Step 1:

[0789] The user accesses the login form from the device and enters their username and password.

[0790] Step 2:

[0791] The device sends the entered username and password to the server.

[0792] Step 3:

[0793] The server receives the username and password and checks it against the information in its database.

[0794] Step 4:

[0795] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[0796] Providing quizzes and surveys

[0797] Step 1:

[0798] The user accesses the quiz page from their device.

[0799] Step 2:

[0800] The server receives the request and retrieves the quiz data from a database or internal memory.

[0801] Step 3:

[0802] The server sends the acquired quiz data in JSON format to the terminal.

[0803] Step 4:

[0804] The terminal displays the received quiz data to the user.

[0805] Interactive response reception

[0806] Step 1:

[0807] The user answers the quiz and transmits the answer data from the terminal to the server.

[0808] Step 2:

[0809] The server receives the response data.

[0810] Step 3:

[0811] The server identifies the response data based on the user session and stores it in a database.

[0812] Emotion recognition and storage using an emotion engine

[0813] Collecting Emotional Data

[0814] Step 1:

[0815] Emotional data is collected using the device's camera and microphone while users answer quizzes and surveys.

[0816] Step 2:

[0817] The device sends the collected emotion data to the emotion engine.

[0818] Step 3:

[0819] The emotion engine analyzes the user's emotional state and generates specific emotion data (e.g., "joy," "sadness," "anxiety," etc.).

[0820] Step 4:

[0821] The terminal transmits the emotion data received from the emotion engine to the server.

[0822] Step 5:

[0823] The server stores the emotion data in a database.

[0824] Results display and feedback

[0825] Generating and Providing Feedback

[0826] Step 1:

[0827] The user accesses the results page from their device and requests feedback.

[0828] Step 2:

[0829] The server retrieves the user's response data and emotion data from the database.

[0830] Step 3:

[0831] The server analyzes the acquired data and generates personalized feedback.

[0832] Step 4:

[0833] The server generates feedback and sends it to the user's device.

[0834] Step 5:

[0835] The device displays feedback to the user.

[0836] Specific examples

[0837] User Registration:

[0838] Step 1: User enters "example_user" and "example_password".

[0839] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[0840] Quiz Survey:

[0841] Step 1: User visits the quiz page.

[0842] Steps 2-4: The server sends the quiz data and the device displays it.

[0843] Response acceptance:

[0844] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[0845] Emotion Engine:

[0846] Steps 1-5: The device collects, analyzes, and transmits emotional data such as "joy" or "sadness" via the emotion engine, and the server stores it in a database.

[0847] feedback:

[0848] Steps 1-5: The user requests feedback, the server generates analytical data, and displays it on the device.

[0849] In this way, by clearly showing what actions the server, terminal, and user perform at each step, the specific implementation process of the system can be understood.

[0850] Example 2

[0851] 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."

[0852] Current systems that support users' sexual self-awareness and gender understanding lack personalized support because they do not take into account their emotional state. They are also limited in providing specific feedback needed to deepen users' self-understanding. Therefore, there is a need for a system that can accurately recognize users' emotional state and provide detailed feedback based on that data.

[0853] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing quiz / surveys, means for storing answer data received from the user, means for recognizing the user's emotional state and storing the emotional data in a database, means for analyzing the stored answer data and emotional data and generating feedback, and means for providing the analyzed feedback to the user. This makes it possible to provide personalized feedback that also takes into account the user's emotional state.

[0854] "User" refers to an individual who uses the System and accesses the System to answer quizzes and surveys in order to deepen their sexual self-awareness and gender understanding.

[0855] "Registration Information" means the personally identifiable information provided by a User when accessing the System, including, but not limited to, a username and password.

[0856] "Database" refers to a storage device or system for storing registration information, response data, and emotion data, which enables the retention and management of user information.

[0857] "Quiz / Survey" means a series of questions or questionnaires provided to users to enhance their sexual self-identification and gender understanding.

[0858] "Response Data" means the information you provide when responding to a quiz or survey, including your selections and entries.

[0859] "Session Information" means temporary identification information for a user while they are accessing the system, which allows us to track and manage individual user activity.

[0860] "Emotional state" refers to the user's mental and psychological state, including emotions such as "joy" and "sadness" that the system recognizes through means such as facial recognition and voice analysis.

[0861] "Emotional data" refers to data about the user's emotional state that the system recognizes, which allows it to generate more appropriate feedback.

[0862] "Feedback" refers to advice and information generated by the system based on the user's response data and emotional data, providing support to deepen the user's sexual self-awareness and gender understanding.

[0863] "Analysis" refers to a series of calculations and data processing to process the stored data and generate optimal feedback for the user.

[0864] The system of the present invention is a comprehensive tool to support users' self-identification of sexuality and gender understanding, and combines an emotion engine to recognize the user's emotional state and provide feedback based on it. This system is mainly implemented using a server, a terminal, and a generative AI model.

[0865] 1. User Registration and Login

[0866] Users access the system through a terminal and enter their username and password. The server receives this, hashes the password, and stores it in a database. When a user logs in, the server checks the username and password and, if they match, starts a session and redirects them to the dashboard. The software used includes the Django framework and a PostgreSQL database.

[0867] 2. Providing quizzes and surveys

[0868] When a user accesses a quiz / survey page, the server sends the quiz / survey data in JSON format to the device, which uses JavaScript to render this data in HTML format and display it to the user.

[0869] 3. Accepting responses through interactive exchanges

[0870] When a user completes a quiz or survey, the data is sent via an Ajax request to the server, which receives the data, identifies it based on the user's session information, and stores it in a database.

[0871] 4. Emotion recognition and storage using the emotion engine

[0872] Emotional data is collected through the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes the emotional data using, for example, Amazon Rekognition or Google Cloud Vision. The server receives this data and stores it in a database to create a profile of each individual user.

[0873] 5. Displaying results and feedback

[0874] When a user requests feedback, the server analyzes the response data and emotional data stored in the database and generates the feedback using a generative AI model (e.g., GPT-3). This allows for personalized feedback that takes into account the user's emotional state. For example, if a user answers "non-binary" and the emotional data indicates "anxiety," the server generates feedback suggesting "resources for deeper understanding" and "counseling services."

[0875] Prompt Sentence Examples

[0876] "Generate personalized feedback for each user based on their quiz answers and sentiment data. The quiz answers are {answer content}, and the sentiment data is {sentiment content}."

[0877] Through these steps, users can deepen their understanding of their sexuality and gender and receive emotional support. The system provides multifaceted feedback that also takes into account the user's psychological aspects, making it a powerful tool for promoting a friendly and inclusive social environment.

[0878] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0879] Step 1: User Registration

[0880] A user visits a registration page on their device and enters their username and password. The server receives this information, hashes the password, and stores it in a database.

[0881] Input: Username and Password.

[0882] Data processing: Password hashing.

[0883] Output: Hashed password and username stored in the database.

[0884] Specific behavior:

[0885] A user accesses a registration page (e.g., / register) on a terminal and enters the username "example_user" and password "example_pass." The server receives the data using the Django framework, hashes the password with bcrypt, and stores it in a PostgreSQL database.

[0886] Step 2: Log in

[0887] A user visits a login page and enters their username and password. The server receives the data and checks it against the information in its database. If it matches, it starts a session and redirects them to the dashboard.

[0888] Input: Username and Password.

[0889] Data operation: Hashing the entered password and matching it with the hash in the database.

[0890] Output: If there is a match, a session is started and the user is redirected to the dashboard.

[0891] Specific behavior:

[0892] A user visits a login page (e.g., / login) and enters the username "example_user" and password "example_pass." The server hashes the entered password and checks it against the hash in the database. If it matches, it starts a Django session and redirects the user to the dashboard (e.g., / dashboard).

[0893] Step 3: Offer a quiz or survey

[0894] When a user accesses a quiz / survey page, the server sends the quiz / survey data to the device and displays it.

[0895] Input: A request to access the quiz / survey page.

[0896] Data processing: Acquiring quiz and survey data and converting it to JSON format.

[0897] Output: Quiz / survey data is sent to the device and displayed.

[0898] Specific behavior:

[0899] A user visits a quiz / survey page (e.g., / quiz), the server sends pre-prepared quiz / survey data in JSON format to the device, which uses JavaScript to render the quiz / survey in HTML format and displays it to the user.

[0900] Step 4: Accepting responses

[0901] When a user answers a quiz or survey, the data is sent from the device to the server, which receives the data, identifies the user based on their session information, and stores it in a database.

[0902] Input: User quiz / survey answer data.

[0903] Data processing: Receiving and storing response data.

[0904] Output: The response data is saved in the database.

[0905] Specific behavior:

[0906] A user enters answers into a quiz / survey and the data is sent to the server via an Ajax request (e.g. POST / submit-quiz). The server receives the POST request in a Django view and inserts the answers into a database.

[0907] Step 5: Emotion Recognition

[0908] Emotion data is collected using the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes this data and sends it to the server. The server receives the emotion data and stores it in a database.

[0909] Input: Emotional data collected on the device (e.g., facial recognition, speech analysis).

[0910] Data Computing: Emotional Data Analysis and Recognition.

[0911] Output: The emotion data is sent to the server and stored in a database.

[0912] Specific behavior:

[0913] The device's camera captures the user's facial expressions and analyzes them using Amazon Rekognition. The emotion engine generates emotion data such as "happiness" or "sadness" and sends it to the server. The server receives this emotion data and stores it in a database.

[0914] Step 6: Analysis and feedback generation

[0915] When a user requests feedback, the server analyzes the response data and emotion data and generates feedback using a generative AI model.

[0916] Input: User response data and sentiment data.

[0917] Data Computation: Analyzing data and generating feedback using generative AI models.

[0918] Output: Personalized feedback

[0919] Specific behavior:

[0920] The server retrieves the answer data and emotion data stored in the database and sends a prompt to the generative AI model (e.g., GPT-3) saying, "Please generate personalized feedback for the user based on the quiz answer and emotion data. The quiz answer is {Answer content}, and the emotion data is {Emotion content}." The generated feedback is sent to the user's device and displayed.

[0921] Step 7: View results and provide feedback

[0922] The server generates feedback and sends it to the terminal, which displays it to the user.

[0923] Input: Generated feedback.

[0924] Data processing: Sending and displaying feedback.

[0925] Output: Feedback is displayed to the user.

[0926] Specific behavior:

[0927] The user requests feedback on the dashboard, the server generates the feedback and sends it in JSON format to the device, which uses JavaScript to render the feedback in HTML format and display it to the user.

[0928] Through these specific processing steps, users receive detailed and personalized feedback to deepen their sexual self-awareness and gender understanding.

[0929] (Application example 2)

[0930] 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."

[0931] Conventional gender awareness support systems only provide unindividualized feedback because they do not take into account the user's emotional state. Furthermore, there is a lack of convenient systems that users can access while on the move or during counseling sessions in physical stores. This makes it difficult to provide appropriate support tailored to the user's psychological and emotional needs.

[0932] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for receiving and storing user registration information in a database, a means for providing quiz / surveys, and a means for storing answer data received from users. This makes it possible to promote understanding of a user's gender and provide personalized feedback that takes into account their emotional state. In addition, by collecting and analyzing user emotional data using cameras and voice analysis, it becomes possible to understand the user's psychological and emotional state and provide enhanced support in physical stores.

[0933] "User Registration Information" means the personal and identifying information provided by a User when accessing the System.

[0934] The "database" is a system for storing and managing user registration information, quiz and survey response data, and emotional data.

[0935] "Quiz / Survey" means questions or surveys provided to assist users in their sexual self-identification and gender understanding.

[0936] "Response Data" means data generated by a user's response to a quiz or survey.

[0937] "Emotional state" refers to the emotions a user experiences during and after taking a quiz or survey.

[0938] "Emotional data" refers to data that reflects the user's emotional state and is obtained through facial recognition, voice analysis, etc.

[0939] "Feedback" refers to advice and information provided based on the user's response data and emotional data.

[0940] The "camera" is an image capture device that captures the user's facial expressions and recognizes their emotional state.

[0941] "Voice analysis" refers to a technology that captures a user's voice and analyzes their emotional state.

[0942] "Smartphone" means a mobile information terminal used by a user to access the system.

[0943] "Smart glasses" are devices that allow users to access systems while visually acquiring information.

[0944] A "brick and mortar store" is a location that a user can physically visit and that offers goods or services.

[0945] "Session information" refers to information about a series of operations and interactions while a user is accessing a system.

[0946] "Analysis" is the process of extracting information from collected data and making sense of it.

[0947] "Personalization" means tailoring and delivering feedback in a way that best suits each user.

[0948] "Personalization" is a synonym for individualization and refers to responding to and providing services tailored to each individual user.

[0949] This invention is a system for supporting users' sexual self-identification and gender understanding, and uses an emotion engine to recognize the user's emotional state and provide personalized feedback based on this. This system can also be used in brick-and-mortar stores using smartphones or smart glasses.

[0950] System Configuration

[0951] The system consists of the following main components:

[0952] 1. User Registration / Login

[0953] Server: A user accesses the system and registers by entering their name and password. The registration information is hashed on the server and stored in a database. Upon login, the server verifies the provided credentials and starts a session.

[0954] Smartphones and smart glasses: These devices allow users to access the system, register and log in.

[0955] 2. Providing quizzes and surveys

[0956] Server: Prepares the quiz / survey data and serves it to the user. When the user visits the quiz page, the server displays the quiz / survey.

[0957] 3. Accepting responses through interactive exchanges

[0958] Smartphones / smart glasses: Users answer quizzes and surveys and send the response data to a server.

[0959] Server: Saves the received response data in a database and manages it in association with session information.

[0960] 4. Emotion Recognition by Emotion Engine

[0961] Smartphones and smart glasses: Capture the user's emotional state using cameras and voice analysis.

[0962] Server: Analyzes the captured emotion data and stores it in a database. The analysis uses a generative AI model.

[0963] 5. Displaying results and feedback

[0964] Server: Analyzes the user's response data and emotion data stored in the database and generates personalized feedback, which is provided to the user via their smartphone or smart glasses.

[0965] Hardware and software used

[0966] Hardware:

[0967] Smartphones and smart glasses

[0968] Camera and Microphone

[0969] software:

[0970] Emotion Engine

[0971] Database Management Systems

[0972] Server Software

[0973] Smartphone application

[0974] Specific examples

[0975] For example, if a user wears smart glasses and answers questions while walking around a physical store, the camera in the smart glasses will capture the user's facial expressions and the emotion engine will detect emotions such as "anxiety." The server will analyze this information and provide the user with feedback such as "counseling services" or "deep breathing guides to relieve stress."

[0976] Prompt Sentence Examples

[0977] Collect emotional data about the user's experience while taking the quiz, and if they feel anxious, provide guidance to reduce stress, such as deep breathing or relaxation techniques.

[0978] In this way, it is possible to support users' sexual self-awareness and gender understanding, and by providing emotional feedback, it is possible to provide support that also addresses the users' psychological and emotional needs.

[0979] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0980] Step 1: User Registration and Login

[0981] A user accesses the system through a smartphone or smart glasses and enters their name and password.

[0982] The server receives the entered registration information, hashes the password, stores it in a database, then matches the same information upon login, and if a match occurs, starts a session and redirects the user to the dashboard.

[0983] Input: Username, Password

[0984] Output: Session started, dashboard displayed

[0985] Data processing: password hashing

[0986] Operation: Authentication processing, session management

[0987] Step 2: Offer a quiz or survey

[0988] The server retrieves the prepared quiz survey data and sends the quiz survey content to the terminal when the user accesses the quiz page.

[0989] Input: Quiz / Survey Request

[0990] Output: Quiz / Survey screen display

[0991] Data processing: Acquiring and sending quiz and survey data

[0992] Action: Send data

[0993] Step 3: Interactive response

[0994] The user answers quizzes and surveys, and the terminal sends the answer data to the server.

[0995] The server receives the response data, stores it in a database, and manages the data in association with session information.

[0996] Input: Quiz response data

[0997] Output: Save to database

[0998] Data processing: Receiving and storing response data, associating it with session information

[0999] Action: Save data

[1000] Step 4: Emotion Recognition with the Emotion Engine

[1001] The device (smartphone, smart glasses) uses a camera and microphone to capture the user's facial expressions and voice.

[1002] The server analyzes the acquired data using an emotion engine to recognize the emotional state, and the analysis results are stored in a database.

[1003] Input: facial expression data, voice data

[1004] Output: Emotion data

[1005] Data processing: Analysis of facial expressions and voice data, recognition of emotional states

[1006] Actions: Emotion recognition, data storage

[1007] Step 5: Viewing results and feedback

[1008] The server analyzes the user's response data and emotional data stored in the database and generates personalized feedback.

[1009] The server sends the generated feedback to the terminal, allowing the user to view the feedback on their smartphone or smart glasses.

[1010] Input: Answer data, emotion data

[1011] Output: Feedback display

[1012] Data processing: Data analysis, feedback generation

[1013] Action: Provide feedback

[1014] These steps allow users to deepen their sexual self-awareness and gender understanding, and also provide feedback that takes into account their emotional state.

[1015] 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.

[1016] 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.

[1017] 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.

[1018] [Third embodiment]

[1019] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1020] 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.

[1021] 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).

[1022] 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.

[1023] 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.

[1024] 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).

[1025] 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.

[1026] 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.

[1027] 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.

[1028] 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.

[1029] 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.

[1030] 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."

[1031] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and includes the following main elements:

[1032] 1. User Registration and Login

[1033] Server processing

[1034] A user first accesses the system and registers by entering a username and password. The server receives this information, hashes the password, and stores it in a database, improving security. Similarly, when logging in, the server validates the username and password entered and starts a session if they match.

[1035] Specific examples

[1036] A user registers with the system with the username "example_user" and the password "example_password". The server hashes "example_password" and stores it in the database along with "example_user". When the user attempts to log in at a later date, the server validates the password using the same steps and, if correct, redirects them to the dashboard.

[1037] 2. Providing quizzes and surveys

[1038] Server processing

[1039] The server provides the user with the prepared quiz survey data, and the user accesses the quiz page and displays the quiz survey sent from the server on their device.

[1040] Specific examples

[1041] When a user accesses the quiz page, the server provides a quiz question asking, "How do you identify yourself?". Answer options include "Male," "Female," "Non-binary," and "Other." This data is provided in JSON format and displayed on the user's device.

[1042] 3. Accepting responses through interactive exchanges

[1043] Server processing

[1044] When a user answers a quiz or survey, their device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database. This process ensures that each user's answers are securely managed.

[1045] Specific examples

[1046] The user answers the quiz, selecting "non-binary" as the answer, and hits the submit button. The server receives this answer, associates it with a user named "example_user," and stores it in the database.

[1047] 4. Displaying results and feedback

[1048] Server processing

[1049] The server analyzes the user's response data stored in the database and generates personalized feedback. When the user requests feedback, the server sends the analysis results to the user's device and displays the feedback.

[1050] Specific examples

[1051] When a user requests feedback based on their answers, the server generates feedback such as "You identify as non-binary," along with relevant advice and resource information, which is then sent to the device and displayed to the user.

[1052] Overall system flow

[1053] Users access the system via their terminals, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, then generates and provides feedback to users. This allows users to deepen their sexual self-awareness and gender understanding.

[1054] This invention not only helps users to understand themselves better, but also promotes inclusiveness in society as a whole. Through specific processes and feedback, users can better understand and accept themselves.

[1055] The processing flow will be explained below.

[1056] 1. User Registration and Login

[1057] User Registration

[1058] Step 1:

[1059] The user accesses the new registration form from their device and enters their username and password.

[1060] Step 2:

[1061] The device sends the entered username and password to the server.

[1062] Step 3:

[1063] The server receives the username and password.

[1064] Step 4:

[1065] The server hashes the password.

[1066] Step 5:

[1067] The server stores the hashed password and username in a database.

[1068] Step 6:

[1069] The server sends a registration completion message to the terminal.

[1070] User login

[1071] Step 1:

[1072] The user accesses the login form from the device and enters their username and password.

[1073] Step 2:

[1074] The device sends the entered username and password to the server.

[1075] Step 3:

[1076] The server receives the username and password and checks it against the information in its database.

[1077] Step 4:

[1078] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[1079] 2. Providing quizzes and surveys

[1080] Step 1:

[1081] The user accesses the quiz page from their device.

[1082] Step 2:

[1083] The server receives the request and retrieves the quiz data from a database or internal memory.

[1084] Step 3:

[1085] The server sends the acquired quiz data in JSON format to the terminal.

[1086] Step 4:

[1087] The terminal displays the received quiz data to the user.

[1088] 3. Accepting responses through interactive exchanges

[1089] Step 1:

[1090] The user answers the quiz and transmits the answer data from the terminal to the server.

[1091] Step 2:

[1092] The server receives the response data.

[1093] Step 3:

[1094] The server identifies the response data based on the user session and stores it in a database.

[1095] 4. Displaying results and feedback

[1096] Step 1:

[1097] The user accesses the results page from their device and requests feedback.

[1098] Step 2:

[1099] The server retrieves the user's response data from the database.

[1100] Step 3:

[1101] The server analyzes the acquired response data.

[1102] Step 4:

[1103] The server generates feedback based on the analysis results.

[1104] Step 5:

[1105] The server generates feedback and sends it to the user's device.

[1106] Step 6:

[1107] The device displays feedback to the user.

[1108] Specific examples

[1109] User Registration:

[1110] Step 1: User enters "example_user" and "example_password".

[1111] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[1112] Quiz Survey:

[1113] Step 1: User visits the quiz page.

[1114] Steps 2-4: The server sends the quiz data and the device displays it.

[1115] Response acceptance:

[1116] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[1117] feedback:

[1118] Steps 1-6: The user requests feedback, the server generates analytical data, and displays it on the device.

[1119] In this way, it is clear what specific actions the server, terminal, and user will take at each step, and the overall flow of the system can be understood.

[1120] Example 1

[1121] 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."

[1122] In modern society, deepening sexual self-awareness and understanding of gender is becoming increasingly important, but effective tools to support this are lacking. Conventional methods often only provide general information that lacks individuality when supporting users' self-awareness to deepen their understanding of their gender. Therefore, there is a need for a system that can provide specific, personalized feedback tailored to each user's individual situation.

[1123] 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.

[1124] In this invention, the server includes means for receiving a user name and password, hashing the password, and storing the hashed password in a database, means for providing quiz survey data, means for storing the quiz survey response data received from the user in the database based on session information, means for analyzing the stored response data and generating personalized feedback, and means for providing the generated feedback to the user, thereby enabling users to safely and effectively deepen their sexual self-identification and gender understanding.

[1125] "Username" is a unique identifier used to identify a user within the system.

[1126] A "password" is a secret string of characters used to authenticate a user.

[1127] "Hashing" is a process in which original data is converted based on a certain algorithm into a format that makes it extremely difficult to revert to the original data.

[1128] A "database" is a system for organizing, storing, and managing data.

[1129] A "quiz survey" is a series of questions or questionnaires designed to pose questions to users and to deepen their sexual self-identification and gender understanding based on their answers.

[1130] "Response Data" means the data of the answers entered by a User in response to a Quiz / Survey.

[1131] "Session information" means information used to track user activity and identify each session as a series of operations.

[1132] "Analysis" is the process of examining and evaluating collected data to extract useful information from it.

[1133] "Feedback" is a response or advice generated based on a user's actions and input, providing information that helps users deepen their own understanding.

[1134] A "means" refers to a method or device used to achieve a particular purpose.

[1135] The system of the present invention is designed to support users' self-identification of sexuality and understanding of gender. This system has functions for user registration and login, providing quizzes and surveys, accepting answers through interactive exchanges, and displaying and providing feedback on the results. Details of each element are described below.

[1136] User Registration and Login

[1137] A user first accesses the system and registers by entering their username and password. The device sends this information to the server. The server receives the password, hashes it using the bcrypt library, and stores it in a database along with the username. In this way, the user information remains secure. Similarly, when a user logs in, the device sends the entered username and password to the server, which then checks it against the hashed password stored in the database.

[1138] Providing quizzes and surveys

[1139] The server prepares pre-prepared quiz survey data in JSON format. When a user accesses the quiz page through their device, the quiz survey data is sent from the server to the device and displayed to the user. A specific example is the quiz "How do you identify yourself?", with options of "Male," "Female," "Non-binary," and "Other."

[1140] Interactive response reception

[1141] When a user answers a quiz or survey, the device sends the answer data to the server, which then receives the answer data and stores it in a database based on the user session information. This ensures that each user's answers are managed securely.

[1142] Results display and feedback

[1143] When a user requests feedback, the server analyzes the response data stored in the database and generates personalized feedback. The server then adds relevant advice and resource information to the user along with the analysis results and sends them to the device. The device receives this and displays it to the user, allowing them to deepen their sexual self-awareness and gender understanding.

[1144] Hardware and software used

[1145] Server: General-purpose cloud service

[1146] Database Management System: Relational Database

[1147] Front-end frameworks: JavaScript libraries

[1148] Backend Framework: JavaScript Environment

[1149] Security Library: Password Hashing Library

[1150] Examples of concrete examples and prompts

[1151] Examples of specific prompts include:

[1152] English:"Please provide a quiz titled 'How do you identify yourself?' with options 'Male', 'Female', 'Non-binary', and 'Other'."

[1153] English: "Take the quiz titled 'How do you identify yourself?' with the options 'Male,' 'Female,' 'Non-binary,' and 'Other.'"

[1154] The system is an effective tool for users to deepen their sexual self-awareness and gender understanding, and provides personalized assistance to promote users' understanding of themselves.

[1155] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1156] Divide the processing flow of this system's program into processing steps

[1157] Step 1: User Registration

[1158] Step 2: User Login

[1159] Step 3: Offer a quiz or survey

[1160] Step 4: Accept quiz / survey responses

[1161] Step 5: Request and view feedback

[1162] Specific explanation of each processing step

[1163] Step 1: User Registration

[1164] Input: The user enters a username and password.

[1165] How it works: The terminal sends the input data to the server, which receives the password, hashes it using the bcrypt library, and stores the username and hashed password in a database.

[1166] Output: User information is securely stored in a database.

[1167] Specific behavior:

[1168] When a user enters the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and stores it in the database along with "example_user."

[1169] Step 2: User Login

[1170] Input: The user enters a username and password.

[1171] How it works: The device sends the entered data to the server. The server receives the data, hashes the entered password, and compares it with the hashed password stored in the database. If the match is successful, it starts a session and redirects the user to the dashboard.

[1172] Output: A session is started and the user is redirected to the dashboard.

[1173] Specific behavior:

[1174] When a user attempts to log in by entering the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and checks it against the hashed password stored in the database. If the match is successful, the user is redirected to the dashboard.

[1175] Step 3: Offer a quiz or survey

[1176] Input: User visits the quiz page.

[1177] How it works: The device sends a request for a quiz page to the server. The server prepares the pre-prepared quiz / survey data in JSON format and sends it to the device. The device then displays the received data to the user.

[1178] Output: The quiz survey will be displayed on your terminal.

[1179] Specific behavior:

[1180] The server prepares the quiz data "How do you identify yourself?" in JSON format. When a user accesses the quiz page, the device sends a request to the server. The server sends the quiz data to the device, which then displays it.

[1181] Step 4: Accept quiz / survey responses

[1182] Input: User answers the quiz.

[1183] Operation: The device sends the user's answer data to the server. The server receives the answer data and stores it in a database based on the user session information.

[1184] Output: The response data is saved in the database.

[1185] Specific behavior:

[1186] When a user selects the "non-binary" option in the quiz and presses the submit button, the device sends the data to the server, which receives the answer data and stores it in a database based on the user session information.

[1187] Step 5: Request and view feedback

[1188] Input: User requests feedback.

[1189] Operation: The server analyzes the response data stored in the database and generates personalized feedback. The generated feedback is sent to the device. The device displays the feedback to the user.

[1190] Output: Feedback is displayed to the user.

[1191] Specific behavior:

[1192] When a user requests feedback, the server analyzes the response data stored in the database and generates feedback such as "You identify as non-binary," along with any relevant advice or resource information, and sends it to the device, which receives it and displays it to the user.

[1193] (Application example 1)

[1194] 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."

[1195] Currently, many individuals have incorrect perceptions and take insufficient security measures without a deep understanding of their gender identity or security risks. Therefore, there is a need for comprehensive support tools that combine improving self-awareness and understanding security risks. The challenge is to enable individuals not only to understand their own gender but also to take appropriate security measures.

[1196] 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.

[1197] In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing a quiz / survey, means for storing answer data received from users, means for analyzing the stored answer data and generating feedback, means for generating the analyzed feedback based on both gender self-identification and security risks, and means for providing users with feedback including points for improvement regarding security risks. This not only supports users' self-awareness but also enables the improvement of individual security awareness.

[1198] "User Registration Information" means the personal identification information provided by a User to access the System, which typically includes a username and password.

[1199] A "quiz survey" is a series of questions or questionnaires that users complete to assess their gender identity and knowledge of security risks.

[1200] "Response data" is information generated by users answering quizzes and surveys.

[1201] A "database" is a data structure or system for efficiently storing, managing, and searching user registration information and response data.

[1202] "Analysis" is the act of examining collected data to find specific patterns and trends.

[1203] "Feedback" is individualized advice and information generated based on the user's response data, with the aim of deepening the user's understanding.

[1204] "Gender self-identity" refers to how a user identifies with their gender, that is, their self-understanding of what gender they perceive themselves as.

[1205] "Security Risk" means the potential danger or threat that arises from the failure to protect user information or assets from unauthorized access or use.

[1206] "Security risk improvements" are specific measures and actions that users should take to strengthen their current security measures and protect themselves from unauthorized access and use.

[1207] The present invention is a system for supporting users' gender self-identification and understanding of security risks, and includes the following main elements:

[1208] 1. User Registration and Login

[1209] The server first receives the user's registration information (username and password), hashes the password for added security, and stores it in the database. This information is used when the user logs in to the system. For example, a user registers to the system with the username "example_user" and the password "example_password." The server hashes "example_password" and stores it in the database along with "example_user."

[1210] 2. Providing quizzes and surveys

[1211] The server provides quizzes and surveys that users can access. These quizzes and surveys include questions related to gender identity and security risks. When a user accesses the quiz page, the server displays questions such as "How do you identify yourself?" and "Is your password strong?"

[1212] 3. Accepting responses through interactive exchanges

[1213] When a user answers a quiz or survey, their device sends the data to a server. The server receives the data, identifies it based on the user session, and stores it in a database. This ensures that each user's answers are securely managed. For example, a user answers a quiz with the options "non-binary" and "don't know" and then presses the submit button.

[1214] 4. Displaying results and feedback

[1215] The server analyzes the user's response data stored in a database and generates personalized feedback. This feedback includes improvements regarding gender identity and security risks. When a user requests feedback, the server generates and provides feedback such as "You identify as non-binary" as well as security advice such as "You need to be careful with your password management."

[1216] Hardware and software used

[1217] This system is realized using the following hardware and software.

[1218] Hardware: Web servers, database servers, user devices (PCs, smartphones, tablets, etc.)

[1219] Software: Flask (web framework), SQLite (database management system), Werkzeug.security (password hashing library)

[1220] Specific prompt examples

[1221] Below is an example of an actual prompt sentence.

[1222] Username: example_user

[1223] Password: example_password

[1224] Answer: Non-binary, I don't know

[1225] This will enable users to understand their gender and provide a system that will increase their security awareness.

[1226] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1227] Step 1:

[1228] The server receives the user's registration information. The user accesses the system and enters their username and password. The server receives this entered information, hashes the password, and stores it in the database. For example, if the username is "example_user" and the password is "example_password," the password will be hashed and stored.

[1229] Step 2:

[1230] The server provides quiz and surveys. When a user accesses a quiz page, the server sends pre-prepared quiz and survey data to the user's device. This data is provided in JSON format, and questions such as "How do you identify yourself?" are displayed.

[1231] Step 3:

[1232] Users answer quizzes and surveys, and the device sends the answer data to the server. Specifically, if the user answers "non-binary" or "don't know," this data is sent.

[1233] Step 4:

[1234] The server stores the received answer data in a database. The submitted answer data is identified based on the user session, associated with "example_user," and stored in the database. This process allows each user's answers to be managed accurately.

[1235] Step 5:

[1236] The server analyzes the responses stored in the database, scrutinizing the collected data to find patterns and trends related to gender identity and security risks, and generating appropriate feedback based on this analysis.

[1237] Step 6:

[1238] The server generates feedback based on the analysis results. Based on the user's response data, it generates personalized feedback about gender identity and security risks. Specifically, it includes the feedback "You identify as non-binary" and security advice "You need to be careful with your password management."

[1239] Step 7:

[1240] The server provides the generated feedback to the user. When the user requests feedback, the server sends the feedback data to the user's device, which displays the data and provides the user with appropriate advice or information.

[1241] Each of these steps allows users to understand their gender and receive specific feedback to increase their security awareness.

[1242] 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.

[1243] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and by combining it with an emotion engine, it recognizes the user's emotional state and provides feedback based on that.

[1244] 1. User Registration and Login

[1245] Server processing

[1246] A user accesses the system and registers by entering their username and password. The server receives this information, hashes the password, and stores it in a database. Upon login, the server checks the username and password against the database, and if they match, starts a session and redirects them to the dashboard.

[1247] 2. Providing quizzes and surveys

[1248] Server processing

[1249] The server provides the user with the prepared quiz survey data. The user accesses the quiz page and displays the quiz survey sent from the server on their device.

[1250] 3. Accepting responses through interactive exchanges

[1251] Server processing

[1252] When a user answers a quiz or survey, the device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database.

[1253] 4. Emotion recognition and storage using the emotion engine

[1254] Processing by server and terminal

[1255] The emotion engine recognizes emotional data by inputting the user's emotional state during or after answering a quiz or survey, or through facial recognition or voice analysis. The device then sends this emotional data to the server, which stores it in a database. This creates an individual profile that includes the user's emotional data.

[1256] Specific examples

[1257] The device captures the user's facial expressions with a camera and sends them to an emotion engine, and the server receives and stores emotional data such as "happiness" or "sadness."

[1258] 5. Displaying results and feedback

[1259] Server processing

[1260] The server analyzes the user's response data and emotional data stored in the database to generate personalized feedback. When the user requests feedback, the server sends the analysis results to the device and displays the feedback. By taking emotional data into account, more personalized feedback can be provided.

[1261] Specific examples

[1262] The user answers "non-binary" and the emotion engine navigates through "anxiety." Based on this, the server generates and provides feedback to the user, such as "resources to deepen understanding" or "counseling services."

[1263] Overall system flow

[1264] Users access the system via their terminal, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, and uses an emotion engine to generate and provide feedback that takes the user's emotions into account. This allows users to deepen their sexual self-awareness and gender understanding, and receive support that also addresses emotional aspects.

[1265] This invention is a powerful tool for supporting users' self-awareness and promoting a friendly and inclusive social environment. The introduction of an emotion engine enables multifaceted feedback that takes into account the user's psychological aspects.

[1266] The processing flow will be explained below.

[1267] User Registration and Login

[1268] User Registration

[1269] Step 1:

[1270] The user accesses the new registration form from their device and enters their username and password.

[1271] Step 2:

[1272] The device sends the entered username and password to the server.

[1273] Step 3:

[1274] The server receives the username and password.

[1275] Step 4:

[1276] The server hashes the password.

[1277] Step 5:

[1278] The server stores the hashed password and username in a database.

[1279] Step 6:

[1280] The server sends a registration completion message to the terminal.

[1281] User login

[1282] Step 1:

[1283] The user accesses the login form from the device and enters their username and password.

[1284] Step 2:

[1285] The device sends the entered username and password to the server.

[1286] Step 3:

[1287] The server receives the username and password and checks it against the information in its database.

[1288] Step 4:

[1289] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[1290] Providing quizzes and surveys

[1291] Step 1:

[1292] The user accesses the quiz page from their device.

[1293] Step 2:

[1294] The server receives the request and retrieves the quiz data from a database or internal memory.

[1295] Step 3:

[1296] The server sends the acquired quiz data in JSON format to the terminal.

[1297] Step 4:

[1298] The terminal displays the received quiz data to the user.

[1299] Interactive response reception

[1300] Step 1:

[1301] The user answers the quiz and transmits the answer data from the terminal to the server.

[1302] Step 2:

[1303] The server receives the response data.

[1304] Step 3:

[1305] The server identifies the response data based on the user session and stores it in a database.

[1306] Emotion recognition and storage using an emotion engine

[1307] Collecting Emotional Data

[1308] Step 1:

[1309] Emotional data is collected using the device's camera and microphone while users answer quizzes and surveys.

[1310] Step 2:

[1311] The device sends the collected emotion data to the emotion engine.

[1312] Step 3:

[1313] The emotion engine analyzes the user's emotional state and generates specific emotion data (e.g., "joy," "sadness," "anxiety," etc.).

[1314] Step 4:

[1315] The terminal transmits the emotion data received from the emotion engine to the server.

[1316] Step 5:

[1317] The server stores the emotion data in a database.

[1318] Results display and feedback

[1319] Generating and Providing Feedback

[1320] Step 1:

[1321] The user accesses the results page from their device and requests feedback.

[1322] Step 2:

[1323] The server retrieves the user's response data and emotion data from the database.

[1324] Step 3:

[1325] The server analyzes the acquired data and generates personalized feedback.

[1326] Step 4:

[1327] The server generates feedback and sends it to the user's device.

[1328] Step 5:

[1329] The device displays feedback to the user.

[1330] Specific examples

[1331] User Registration:

[1332] Step 1: User enters "example_user" and "example_password".

[1333] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[1334] Quiz Survey:

[1335] Step 1: User visits the quiz page.

[1336] Steps 2-4: The server sends the quiz data and the device displays it.

[1337] Response acceptance:

[1338] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[1339] Emotion Engine:

[1340] Steps 1-5: The device collects, analyzes, and transmits emotional data such as "joy" or "sadness" via the emotion engine, and the server stores it in a database.

[1341] feedback:

[1342] Steps 1-5: The user requests feedback, the server generates analytical data, and displays it on the device.

[1343] In this way, by clearly showing what actions the server, terminal, and user perform at each step, the specific implementation process of the system can be understood.

[1344] Example 2

[1345] 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."

[1346] Current systems that support users' sexual self-awareness and gender understanding lack personalized support because they do not take into account their emotional state. They are also limited in providing specific feedback needed to deepen users' self-understanding. Therefore, there is a need for a system that can accurately recognize users' emotional state and provide detailed feedback based on that data.

[1347] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing quiz / surveys, means for storing answer data received from the user, means for recognizing the user's emotional state and storing the emotional data in a database, means for analyzing the stored answer data and emotional data and generating feedback, and means for providing the analyzed feedback to the user. This makes it possible to provide personalized feedback that also takes into account the user's emotional state.

[1348] "User" refers to an individual who uses the System and accesses the System to answer quizzes and surveys in order to deepen their sexual self-awareness and gender understanding.

[1349] "Registration Information" means the personally identifiable information provided by a User when accessing the System, including, but not limited to, a username and password.

[1350] "Database" refers to a storage device or system for storing registration information, response data, and emotion data, which enables the retention and management of user information.

[1351] "Quiz / Survey" means a series of questions or questionnaires provided to users to enhance their sexual self-identification and gender understanding.

[1352] "Response Data" means the information you provide when responding to a quiz or survey, including your selections and entries.

[1353] "Session Information" means temporary identification information for a user while they are accessing the system, which allows us to track and manage individual user activity.

[1354] "Emotional state" refers to the user's mental and psychological state, including emotions such as "joy" and "sadness" that the system recognizes through means such as facial recognition and voice analysis.

[1355] "Emotional data" refers to data about the user's emotional state that the system recognizes, which allows it to generate more appropriate feedback.

[1356] "Feedback" refers to advice and information generated by the system based on the user's response data and emotional data, providing support to deepen the user's sexual self-awareness and gender understanding.

[1357] "Analysis" refers to a series of calculations and data processing to process the stored data and generate optimal feedback for the user.

[1358] The system of the present invention is a comprehensive tool to support users' self-identification of sexuality and gender understanding, and combines an emotion engine to recognize the user's emotional state and provide feedback based on it. This system is mainly implemented using a server, a terminal, and a generative AI model.

[1359] 1. User Registration and Login

[1360] Users access the system through a terminal and enter their username and password. The server receives this, hashes the password, and stores it in a database. When a user logs in, the server checks the username and password and, if they match, starts a session and redirects them to the dashboard. The software used includes the Django framework and a PostgreSQL database.

[1361] 2. Providing quizzes and surveys

[1362] When a user accesses a quiz / survey page, the server sends the quiz / survey data in JSON format to the device, which uses JavaScript to render this data in HTML format and display it to the user.

[1363] 3. Accepting responses through interactive exchanges

[1364] When a user completes a quiz or survey, the data is sent via an Ajax request to the server, which receives the data, identifies it based on the user's session information, and stores it in a database.

[1365] 4. Emotion recognition and storage using the emotion engine

[1366] Emotional data is collected through the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes the emotional data using, for example, Amazon Rekognition or Google Cloud Vision. The server receives this data and stores it in a database to create a profile of each individual user.

[1367] 5. Displaying results and feedback

[1368] When a user requests feedback, the server analyzes the response data and emotional data stored in the database and generates the feedback using a generative AI model (e.g., GPT-3). This allows for personalized feedback that takes into account the user's emotional state. For example, if a user answers "non-binary" and the emotional data indicates "anxiety," the server generates feedback suggesting "resources for deeper understanding" and "counseling services."

[1369] Prompt Sentence Examples

[1370] "Generate personalized feedback for each user based on their quiz answers and sentiment data. The quiz answers are {answer content}, and the sentiment data is {sentiment content}."

[1371] Through these steps, users can deepen their understanding of their sexuality and gender and receive emotional support. The system provides multifaceted feedback that also takes into account the user's psychological aspects, making it a powerful tool for promoting a friendly and inclusive social environment.

[1372] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1373] Step 1: User Registration

[1374] A user visits a registration page on their device and enters their username and password. The server receives this information, hashes the password, and stores it in a database.

[1375] Input: Username and Password.

[1376] Data processing: Password hashing.

[1377] Output: Hashed password and username stored in the database.

[1378] Specific behavior:

[1379] A user accesses a registration page (e.g., / register) on a terminal and enters the username "example_user" and password "example_pass." The server receives the data using the Django framework, hashes the password with bcrypt, and stores it in a PostgreSQL database.

[1380] Step 2: Log in

[1381] A user visits a login page and enters their username and password. The server receives the data and checks it against the information in its database. If it matches, it starts a session and redirects them to the dashboard.

[1382] Input: Username and Password.

[1383] Data operation: Hashing the entered password and matching it with the hash in the database.

[1384] Output: If there is a match, a session is started and the user is redirected to the dashboard.

[1385] Specific behavior:

[1386] A user visits a login page (e.g., / login) and enters the username "example_user" and password "example_pass." The server hashes the entered password and checks it against the hash in the database. If it matches, it starts a Django session and redirects the user to the dashboard (e.g., / dashboard).

[1387] Step 3: Offer a quiz or survey

[1388] When a user accesses a quiz / survey page, the server sends the quiz / survey data to the device and displays it.

[1389] Input: A request to access the quiz / survey page.

[1390] Data processing: Acquiring quiz and survey data and converting it to JSON format.

[1391] Output: Quiz / survey data is sent to the device and displayed.

[1392] Specific behavior:

[1393] A user visits a quiz / survey page (e.g., / quiz), the server sends pre-prepared quiz / survey data in JSON format to the device, which uses JavaScript to render the quiz / survey in HTML format and displays it to the user.

[1394] Step 4: Accepting responses

[1395] When a user answers a quiz or survey, the data is sent from the device to the server, which receives the data, identifies the user based on their session information, and stores it in a database.

[1396] Input: User quiz / survey answer data.

[1397] Data processing: Receiving and storing response data.

[1398] Output: The response data is saved in the database.

[1399] Specific behavior:

[1400] A user enters answers into a quiz / survey and the data is sent to the server via an Ajax request (e.g. POST / submit-quiz). The server receives the POST request in a Django view and inserts the answers into a database.

[1401] Step 5: Emotion Recognition

[1402] Emotion data is collected using the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes this data and sends it to the server. The server receives the emotion data and stores it in a database.

[1403] Input: Emotional data collected on the device (e.g., facial recognition, speech analysis).

[1404] Data Computing: Emotional Data Analysis and Recognition.

[1405] Output: The emotion data is sent to the server and stored in a database.

[1406] Specific behavior:

[1407] The device's camera captures the user's facial expressions and analyzes them using Amazon Rekognition. The emotion engine generates emotion data such as "happiness" or "sadness" and sends it to the server. The server receives this emotion data and stores it in a database.

[1408] Step 6: Analysis and feedback generation

[1409] When a user requests feedback, the server analyzes the response data and emotion data and generates feedback using a generative AI model.

[1410] Input: User response data and sentiment data.

[1411] Data Computation: Analyzing data and generating feedback using generative AI models.

[1412] Output: Personalized feedback

[1413] Specific behavior:

[1414] The server retrieves the answer data and emotion data stored in the database and sends a prompt to the generative AI model (e.g., GPT-3) saying, "Please generate personalized feedback for the user based on the quiz answer and emotion data. The quiz answer is {Answer content}, and the emotion data is {Emotion content}." The generated feedback is sent to the user's device and displayed.

[1415] Step 7: View results and provide feedback

[1416] The server generates feedback and sends it to the terminal, which displays it to the user.

[1417] Input: Generated feedback.

[1418] Data processing: Sending and displaying feedback.

[1419] Output: Feedback is displayed to the user.

[1420] Specific behavior:

[1421] The user requests feedback on the dashboard, the server generates the feedback and sends it in JSON format to the device, which uses JavaScript to render the feedback in HTML format and display it to the user.

[1422] Through these specific processing steps, users receive detailed and personalized feedback to deepen their sexual self-awareness and gender understanding.

[1423] (Application example 2)

[1424] 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."

[1425] Conventional gender awareness support systems only provide unindividualized feedback because they do not take into account the user's emotional state. Furthermore, there is a lack of convenient systems that users can access while on the move or during counseling sessions in physical stores. This makes it difficult to provide appropriate support tailored to the user's psychological and emotional needs.

[1426] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for receiving and storing user registration information in a database, a means for providing quiz / surveys, and a means for storing answer data received from users. This makes it possible to promote understanding of a user's gender and provide personalized feedback that takes into account their emotional state. In addition, by collecting and analyzing user emotional data using cameras and voice analysis, it becomes possible to understand the user's psychological and emotional state and provide enhanced support in physical stores.

[1427] "User Registration Information" means the personal and identifying information provided by a User when accessing the System.

[1428] The "database" is a system for storing and managing user registration information, quiz and survey response data, and emotional data.

[1429] "Quiz / Survey" means questions or surveys provided to assist users in their sexual self-identification and gender understanding.

[1430] "Response Data" means data generated by a user's response to a quiz or survey.

[1431] "Emotional state" refers to the emotions a user experiences during and after taking a quiz or survey.

[1432] "Emotional data" refers to data that reflects the user's emotional state and is obtained through facial recognition, voice analysis, etc.

[1433] "Feedback" refers to advice and information provided based on the user's response data and emotional data.

[1434] The "camera" is an image capture device that captures the user's facial expressions and recognizes their emotional state.

[1435] "Voice analysis" refers to a technology that captures a user's voice and analyzes their emotional state.

[1436] "Smartphone" means a mobile information terminal used by a user to access the system.

[1437] "Smart glasses" are devices that allow users to access systems while visually acquiring information.

[1438] A "brick and mortar store" is a location that a user can physically visit and that offers goods or services.

[1439] "Session information" refers to information about a series of operations and interactions while a user is accessing a system.

[1440] "Analysis" is the process of extracting information from collected data and making sense of it.

[1441] "Personalization" means tailoring and delivering feedback in a way that best suits each user.

[1442] "Personalization" is a synonym for individualization and refers to responding to and providing services tailored to each individual user.

[1443] This invention is a system for supporting users' sexual self-identification and gender understanding, and uses an emotion engine to recognize the user's emotional state and provide personalized feedback based on this. This system can also be used in brick-and-mortar stores using smartphones or smart glasses.

[1444] System Configuration

[1445] The system consists of the following main components:

[1446] 1. User Registration / Login

[1447] Server: A user accesses the system and registers by entering their name and password. The registration information is hashed on the server and stored in a database. Upon login, the server verifies the provided credentials and starts a session.

[1448] Smartphones and smart glasses: These devices allow users to access the system, register and log in.

[1449] 2. Providing quizzes and surveys

[1450] Server: Prepares the quiz / survey data and serves it to the user. When the user visits the quiz page, the server displays the quiz / survey.

[1451] 3. Accepting responses through interactive exchanges

[1452] Smartphones / smart glasses: Users answer quizzes and surveys and send the response data to a server.

[1453] Server: Saves the received response data in a database and manages it in association with session information.

[1454] 4. Emotion Recognition by Emotion Engine

[1455] Smartphones and smart glasses: Capture the user's emotional state using cameras and voice analysis.

[1456] Server: Analyzes the captured emotion data and stores it in a database. The analysis uses a generative AI model.

[1457] 5. Displaying results and feedback

[1458] Server: Analyzes the user's response data and emotion data stored in the database and generates personalized feedback, which is provided to the user via their smartphone or smart glasses.

[1459] Hardware and software used

[1460] Hardware:

[1461] Smartphones and smart glasses

[1462] Camera and Microphone

[1463] software:

[1464] Emotion Engine

[1465] Database Management Systems

[1466] Server Software

[1467] Smartphone application

[1468] Specific examples

[1469] For example, if a user wears smart glasses and answers questions while walking around a physical store, the camera in the smart glasses will capture the user's facial expressions and the emotion engine will detect emotions such as "anxiety." The server will analyze this information and provide the user with feedback such as "counseling services" or "deep breathing guides to relieve stress."

[1470] Prompt Sentence Examples

[1471] Collect emotional data about the user's experience while taking the quiz, and if they feel anxious, provide guidance to reduce stress, such as deep breathing or relaxation techniques.

[1472] In this way, it is possible to support users' sexual self-awareness and gender understanding, and by providing emotional feedback, it is possible to provide support that also addresses the users' psychological and emotional needs.

[1473] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1474] Step 1: User Registration and Login

[1475] A user accesses the system through a smartphone or smart glasses and enters their name and password.

[1476] The server receives the entered registration information, hashes the password, stores it in a database, then matches the same information upon login, and if a match occurs, starts a session and redirects the user to the dashboard.

[1477] Input: Username, Password

[1478] Output: Session started, dashboard displayed

[1479] Data processing: password hashing

[1480] Operation: Authentication processing, session management

[1481] Step 2: Offer a quiz or survey

[1482] The server retrieves the prepared quiz survey data and sends the quiz survey content to the terminal when the user accesses the quiz page.

[1483] Input: Quiz / Survey Request

[1484] Output: Quiz / Survey screen display

[1485] Data processing: Acquiring and sending quiz and survey data

[1486] Action: Send data

[1487] Step 3: Interactive response

[1488] The user answers quizzes and surveys, and the terminal sends the answer data to the server.

[1489] The server receives the response data, stores it in a database, and manages the data in association with session information.

[1490] Input: Quiz response data

[1491] Output: Save to database

[1492] Data processing: Receiving and storing response data, associating it with session information

[1493] Action: Save data

[1494] Step 4: Emotion Recognition with the Emotion Engine

[1495] The device (smartphone, smart glasses) uses a camera and microphone to capture the user's facial expressions and voice.

[1496] The server analyzes the acquired data using an emotion engine to recognize the emotional state, and the analysis results are stored in a database.

[1497] Input: facial expression data, voice data

[1498] Output: Emotion data

[1499] Data processing: Analysis of facial expressions and voice data, recognition of emotional states

[1500] Actions: Emotion recognition, data storage

[1501] Step 5: Viewing results and feedback

[1502] The server analyzes the user's response data and emotional data stored in the database and generates personalized feedback.

[1503] The server sends the generated feedback to the terminal, allowing the user to view the feedback on their smartphone or smart glasses.

[1504] Input: Answer data, emotion data

[1505] Output: Feedback display

[1506] Data processing: Data analysis, feedback generation

[1507] Action: Provide feedback

[1508] These steps allow users to deepen their sexual self-awareness and gender understanding, and also provide feedback that takes into account their emotional state.

[1509] 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.

[1510] 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.

[1511] 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.

[1512] [Fourth embodiment]

[1513] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1514] 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.

[1515] 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).

[1516] 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.

[1517] 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.

[1518] 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).

[1519] 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.

[1520] 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.

[1521] 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.

[1522] 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.

[1523] 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.

[1524] 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.

[1525] 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."

[1526] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and includes the following main elements:

[1527] 1. User Registration and Login

[1528] Server processing

[1529] A user first accesses the system and registers by entering a username and password. The server receives this information, hashes the password, and stores it in a database, improving security. Similarly, when logging in, the server validates the username and password entered and starts a session if they match.

[1530] Specific examples

[1531] A user registers with the system with the username "example_user" and the password "example_password". The server hashes "example_password" and stores it in the database along with "example_user". When the user attempts to log in at a later date, the server validates the password using the same steps and, if correct, redirects them to the dashboard.

[1532] 2. Providing quizzes and surveys

[1533] Server processing

[1534] The server provides the user with the prepared quiz survey data, and the user accesses the quiz page and displays the quiz survey sent from the server on their device.

[1535] Specific examples

[1536] When a user accesses the quiz page, the server provides a quiz question asking, "How do you identify yourself?". Answer options include "Male," "Female," "Non-binary," and "Other." This data is provided in JSON format and displayed on the user's device.

[1537] 3. Accepting responses through interactive exchanges

[1538] Server processing

[1539] When a user answers a quiz or survey, their device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database. This process ensures that each user's answers are securely managed.

[1540] Specific examples

[1541] The user answers the quiz, selecting "non-binary" as the answer, and hits the submit button. The server receives this answer, associates it with a user named "example_user," and stores it in the database.

[1542] 4. Displaying results and feedback

[1543] Server processing

[1544] The server analyzes the user's response data stored in the database and generates personalized feedback. When the user requests feedback, the server sends the analysis results to the user's device and displays the feedback.

[1545] Specific examples

[1546] When a user requests feedback based on their answers, the server generates feedback such as "You identify as non-binary," along with relevant advice and resource information, which is then sent to the device and displayed to the user.

[1547] Overall system flow

[1548] Users access the system via their terminals, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, then generates and provides feedback to users. This allows users to deepen their sexual self-awareness and gender understanding.

[1549] This invention not only helps users to understand themselves better, but also promotes inclusiveness in society as a whole. Through specific processes and feedback, users can better understand and accept themselves.

[1550] The processing flow will be explained below.

[1551] 1. User Registration and Login

[1552] User Registration

[1553] Step 1:

[1554] The user accesses the new registration form from their device and enters their username and password.

[1555] Step 2:

[1556] The device sends the entered username and password to the server.

[1557] Step 3:

[1558] The server receives the username and password.

[1559] Step 4:

[1560] The server hashes the password.

[1561] Step 5:

[1562] The server stores the hashed password and username in a database.

[1563] Step 6:

[1564] The server sends a registration completion message to the terminal.

[1565] User login

[1566] Step 1:

[1567] The user accesses the login form from the device and enters their username and password.

[1568] Step 2:

[1569] The device sends the entered username and password to the server.

[1570] Step 3:

[1571] The server receives the username and password and checks it against the information in its database.

[1572] Step 4:

[1573] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[1574] 2. Providing quizzes and surveys

[1575] Step 1:

[1576] The user accesses the quiz page from their device.

[1577] Step 2:

[1578] The server receives the request and retrieves the quiz data from a database or internal memory.

[1579] Step 3:

[1580] The server sends the acquired quiz data in JSON format to the terminal.

[1581] Step 4:

[1582] The terminal displays the received quiz data to the user.

[1583] 3. Accepting responses through interactive exchanges

[1584] Step 1:

[1585] The user answers the quiz and transmits the answer data from the terminal to the server.

[1586] Step 2:

[1587] The server receives the response data.

[1588] Step 3:

[1589] The server identifies the response data based on the user session and stores it in a database.

[1590] 4. Displaying results and feedback

[1591] Step 1:

[1592] The user accesses the results page from their device and requests feedback.

[1593] Step 2:

[1594] The server retrieves the user's response data from the database.

[1595] Step 3:

[1596] The server analyzes the acquired response data.

[1597] Step 4:

[1598] The server generates feedback based on the analysis results.

[1599] Step 5:

[1600] The server generates feedback and sends it to the user's device.

[1601] Step 6:

[1602] The device displays feedback to the user.

[1603] Specific examples

[1604] User Registration:

[1605] Step 1: User enters "example_user" and "example_password".

[1606] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[1607] Quiz Survey:

[1608] Step 1: User visits the quiz page.

[1609] Steps 2-4: The server sends the quiz data and the device displays it.

[1610] Response acceptance:

[1611] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[1612] feedback:

[1613] Steps 1-6: The user requests feedback, the server generates analytical data, and displays it on the device.

[1614] In this way, it is clear what specific actions the server, terminal, and user will take at each step, and the overall flow of the system can be understood.

[1615] Example 1

[1616] 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."

[1617] In modern society, deepening sexual self-awareness and understanding of gender is becoming increasingly important, but effective tools to support this are lacking. Conventional methods often only provide general information that lacks individuality when supporting users' self-awareness to deepen their understanding of their gender. Therefore, there is a need for a system that can provide specific, personalized feedback tailored to each user's individual situation.

[1618] 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.

[1619] In this invention, the server includes means for receiving a user name and password, hashing the password, and storing the hashed password in a database, means for providing quiz survey data, means for storing the quiz survey response data received from the user in the database based on session information, means for analyzing the stored response data and generating personalized feedback, and means for providing the generated feedback to the user, thereby enabling users to safely and effectively deepen their sexual self-identification and gender understanding.

[1620] "Username" is a unique identifier used to identify a user within the system.

[1621] A "password" is a secret string of characters used to authenticate a user.

[1622] "Hashing" is a process in which original data is converted based on a certain algorithm into a format that makes it extremely difficult to revert to the original data.

[1623] A "database" is a system for organizing, storing, and managing data.

[1624] A "quiz survey" is a series of questions or questionnaires designed to pose questions to users and to deepen their sexual self-identification and gender understanding based on their answers.

[1625] "Response Data" means the data of the answers entered by a User in response to a Quiz / Survey.

[1626] "Session information" means information used to track user activity and identify each session as a series of operations.

[1627] "Analysis" is the process of examining and evaluating collected data to extract useful information from it.

[1628] "Feedback" is a response or advice generated based on a user's actions and input, providing information that helps users deepen their own understanding.

[1629] A "means" refers to a method or device used to achieve a particular purpose.

[1630] The system of the present invention is designed to support users' self-identification of sexuality and understanding of gender. This system has functions for user registration and login, providing quizzes and surveys, accepting answers through interactive exchanges, and displaying and providing feedback on the results. Details of each element are described below.

[1631] User Registration and Login

[1632] A user first accesses the system and registers by entering their username and password. The device sends this information to the server. The server receives the password, hashes it using the bcrypt library, and stores it in a database along with the username. In this way, the user information remains secure. Similarly, when a user logs in, the device sends the entered username and password to the server, which then checks it against the hashed password stored in the database.

[1633] Providing quizzes and surveys

[1634] The server prepares pre-prepared quiz survey data in JSON format. When a user accesses the quiz page through their device, the quiz survey data is sent from the server to the device and displayed to the user. A specific example is the quiz "How do you identify yourself?", with options of "Male," "Female," "Non-binary," and "Other."

[1635] Interactive response reception

[1636] When a user answers a quiz or survey, the device sends the answer data to the server, which then receives the answer data and stores it in a database based on the user session information. This ensures that each user's answers are managed securely.

[1637] Results display and feedback

[1638] When a user requests feedback, the server analyzes the response data stored in the database and generates personalized feedback. The server then adds relevant advice and resource information to the user along with the analysis results and sends them to the device. The device receives this and displays it to the user, allowing them to deepen their sexual self-awareness and gender understanding.

[1639] Hardware and software used

[1640] Server: General-purpose cloud service

[1641] Database Management System: Relational Database

[1642] Front-end frameworks: JavaScript libraries

[1643] Backend Framework: JavaScript Environment

[1644] Security Library: Password Hashing Library

[1645] Examples of concrete examples and prompts

[1646] Examples of specific prompts include:

[1647] English:"Please provide a quiz titled 'How do you identify yourself?' with options 'Male', 'Female', 'Non-binary', and 'Other'."

[1648] English: "Take the quiz titled 'How do you identify yourself?' with the options 'Male,' 'Female,' 'Non-binary,' and 'Other.'"

[1649] The system is an effective tool for users to deepen their sexual self-awareness and gender understanding, and provides personalized assistance to promote users' understanding of themselves.

[1650] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1651] Divide the processing flow of this system's program into processing steps

[1652] Step 1: User Registration

[1653] Step 2: User Login

[1654] Step 3: Offer a quiz or survey

[1655] Step 4: Accept quiz / survey responses

[1656] Step 5: Request and view feedback

[1657] Specific explanation of each processing step

[1658] Step 1: User Registration

[1659] Input: The user enters a username and password.

[1660] How it works: The terminal sends the input data to the server, which receives the password, hashes it using the bcrypt library, and stores the username and hashed password in a database.

[1661] Output: User information is securely stored in a database.

[1662] Specific behavior:

[1663] When a user enters the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and stores it in the database along with "example_user."

[1664] Step 2: User Login

[1665] Input: The user enters a username and password.

[1666] How it works: The device sends the entered data to the server. The server receives the data, hashes the entered password, and compares it with the hashed password stored in the database. If the match is successful, it starts a session and redirects the user to the dashboard.

[1667] Output: A session is started and the user is redirected to the dashboard.

[1668] Specific behavior:

[1669] When a user attempts to log in by entering the username "example_user" and "example_password," the device sends this to the server, which hashes "example_password" and checks it against the hashed password stored in the database. If the match is successful, the user is redirected to the dashboard.

[1670] Step 3: Offer a quiz or survey

[1671] Input: User visits the quiz page.

[1672] How it works: The device sends a request for a quiz page to the server. The server prepares the pre-prepared quiz / survey data in JSON format and sends it to the device. The device then displays the received data to the user.

[1673] Output: The quiz survey will be displayed on your terminal.

[1674] Specific behavior:

[1675] The server prepares the quiz data "How do you identify yourself?" in JSON format. When a user accesses the quiz page, the device sends a request to the server. The server sends the quiz data to the device, which then displays it.

[1676] Step 4: Accept quiz / survey responses

[1677] Input: User answers the quiz.

[1678] Operation: The device sends the user's answer data to the server. The server receives the answer data and stores it in a database based on the user session information.

[1679] Output: The response data is saved in the database.

[1680] Specific behavior:

[1681] When a user selects the "non-binary" option in the quiz and presses the submit button, the device sends the data to the server, which receives the answer data and stores it in a database based on the user session information.

[1682] Step 5: Request and view feedback

[1683] Input: User requests feedback.

[1684] Operation: The server analyzes the response data stored in the database and generates personalized feedback. The generated feedback is sent to the device. The device displays the feedback to the user.

[1685] Output: Feedback is displayed to the user.

[1686] Specific behavior:

[1687] When a user requests feedback, the server analyzes the response data stored in the database and generates feedback such as "You identify as non-binary," along with any relevant advice or resource information, and sends it to the device, which receives it and displays it to the user.

[1688] (Application example 1)

[1689] 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."

[1690] Currently, many individuals have incorrect perceptions and take insufficient security measures without a deep understanding of their gender identity or security risks. Therefore, there is a need for comprehensive support tools that combine improving self-awareness and understanding security risks. The challenge is to enable individuals not only to understand their own gender but also to take appropriate security measures.

[1691] 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.

[1692] In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing a quiz / survey, means for storing answer data received from users, means for analyzing the stored answer data and generating feedback, means for generating the analyzed feedback based on both gender self-identification and security risks, and means for providing users with feedback including points for improvement regarding security risks. This not only supports users' self-awareness but also enables the improvement of individual security awareness.

[1693] "User Registration Information" means the personal identification information provided by a User to access the System, which typically includes a username and password.

[1694] A "quiz survey" is a series of questions or questionnaires that users complete to assess their gender identity and knowledge of security risks.

[1695] "Response data" is information generated by users answering quizzes and surveys.

[1696] A "database" is a data structure or system for efficiently storing, managing, and searching user registration information and response data.

[1697] "Analysis" is the act of examining collected data to find specific patterns and trends.

[1698] "Feedback" is individualized advice and information generated based on the user's response data, with the aim of deepening the user's understanding.

[1699] "Gender self-identity" refers to how a user identifies with their gender, that is, their self-understanding of what gender they perceive themselves as.

[1700] "Security Risk" means the potential danger or threat that arises from the failure to protect user information or assets from unauthorized access or use.

[1701] "Security risk improvements" are specific measures and actions that users should take to strengthen their current security measures and protect themselves from unauthorized access and use.

[1702] The present invention is a system for supporting users' gender self-identification and understanding of security risks, and includes the following main elements:

[1703] 1. User Registration and Login

[1704] The server first receives the user's registration information (username and password), hashes the password for added security, and stores it in the database. This information is used when the user logs in to the system. For example, a user registers to the system with the username "example_user" and the password "example_password." The server hashes "example_password" and stores it in the database along with "example_user."

[1705] 2. Providing quizzes and surveys

[1706] The server provides quizzes and surveys that users can access. These quizzes and surveys include questions related to gender identity and security risks. When a user accesses the quiz page, the server displays questions such as "How do you identify yourself?" and "Is your password strong?"

[1707] 3. Accepting responses through interactive exchanges

[1708] When a user answers a quiz or survey, their device sends the data to a server. The server receives the data, identifies it based on the user session, and stores it in a database. This ensures that each user's answers are securely managed. For example, a user answers a quiz with the options "non-binary" and "don't know" and then presses the submit button.

[1709] 4. Displaying results and feedback

[1710] The server analyzes the user's response data stored in a database and generates personalized feedback. This feedback includes improvements regarding gender identity and security risks. When a user requests feedback, the server generates and provides feedback such as "You identify as non-binary" as well as security advice such as "You need to be careful with your password management."

[1711] Hardware and software used

[1712] This system is realized using the following hardware and software.

[1713] Hardware: Web servers, database servers, user devices (PCs, smartphones, tablets, etc.)

[1714] Software: Flask (web framework), SQLite (database management system), Werkzeug.security (password hashing library)

[1715] Specific prompt examples

[1716] Below is an example of an actual prompt sentence.

[1717] Username: example_user

[1718] Password: example_password

[1719] Answer: Non-binary, I don't know

[1720] This will enable users to understand their gender and provide a system that will increase their security awareness.

[1721] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1722] Step 1:

[1723] The server receives the user's registration information. The user accesses the system and enters their username and password. The server receives this entered information, hashes the password, and stores it in the database. For example, if the username is "example_user" and the password is "example_password," the password will be hashed and stored.

[1724] Step 2:

[1725] The server provides quiz and surveys. When a user accesses a quiz page, the server sends pre-prepared quiz and survey data to the user's device. This data is provided in JSON format, and questions such as "How do you identify yourself?" are displayed.

[1726] Step 3:

[1727] Users answer quizzes and surveys, and the device sends the answer data to the server. Specifically, if the user answers "non-binary" or "don't know," this data is sent.

[1728] Step 4:

[1729] The server stores the received answer data in a database. The submitted answer data is identified based on the user session, associated with "example_user," and stored in the database. This process allows each user's answers to be managed accurately.

[1730] Step 5:

[1731] The server analyzes the responses stored in the database, scrutinizing the collected data to find patterns and trends related to gender identity and security risks, and generating appropriate feedback based on this analysis.

[1732] Step 6:

[1733] The server generates feedback based on the analysis results. Based on the user's response data, it generates personalized feedback about gender identity and security risks. Specifically, it includes the feedback "You identify as non-binary" and security advice "You need to be careful with your password management."

[1734] Step 7:

[1735] The server provides the generated feedback to the user. When the user requests feedback, the server sends the feedback data to the user's device, which displays the data and provides the user with appropriate advice or information.

[1736] Each of these steps allows users to understand their gender and receive specific feedback to increase their security awareness.

[1737] 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.

[1738] The system of the present invention is a comprehensive tool to support users' sexual self-identification and gender understanding, and by combining it with an emotion engine, it recognizes the user's emotional state and provides feedback based on that.

[1739] 1. User Registration and Login

[1740] Server processing

[1741] A user accesses the system and registers by entering their username and password. The server receives this information, hashes the password, and stores it in a database. Upon login, the server checks the username and password against the database, and if they match, starts a session and redirects them to the dashboard.

[1742] 2. Providing quizzes and surveys

[1743] Server processing

[1744] The server provides the user with the prepared quiz survey data. The user accesses the quiz page and displays the quiz survey sent from the server on their device.

[1745] 3. Accepting responses through interactive exchanges

[1746] Server processing

[1747] When a user answers a quiz or survey, the device sends the answer data to a server, which receives the data, identifies it based on the user session, and stores it in a database.

[1748] 4. Emotion recognition and storage using the emotion engine

[1749] Processing by server and terminal

[1750] The emotion engine recognizes emotional data by inputting the user's emotional state during or after answering a quiz or survey, or through facial recognition or voice analysis. The device then sends this emotional data to the server, which stores it in a database. This creates an individual profile that includes the user's emotional data.

[1751] Specific examples

[1752] The device captures the user's facial expressions with a camera and sends them to an emotion engine, and the server receives and stores emotional data such as "happiness" or "sadness."

[1753] 5. Displaying results and feedback

[1754] Server processing

[1755] The server analyzes the user's response data and emotional data stored in the database to generate personalized feedback. When the user requests feedback, the server sends the analysis results to the device and displays the feedback. By taking emotional data into account, more personalized feedback can be provided.

[1756] Specific examples

[1757] The user answers "non-binary" and the emotion engine navigates through "anxiety." Based on this, the server generates and provides feedback to the user, such as "resources to deepen understanding" or "counseling services."

[1758] Overall system flow

[1759] Users access the system via their terminal, register, and log in. They take quizzes and surveys and submit their answers. The server receives, stores, and analyzes this information, and uses an emotion engine to generate and provide feedback that takes the user's emotions into account. This allows users to deepen their sexual self-awareness and gender understanding, and receive support that also addresses emotional aspects.

[1760] This invention is a powerful tool for supporting users' self-awareness and promoting a friendly and inclusive social environment. The introduction of an emotion engine enables multifaceted feedback that takes into account the user's psychological aspects.

[1761] The processing flow will be explained below.

[1762] User Registration and Login

[1763] User Registration

[1764] Step 1:

[1765] The user accesses the new registration form from their device and enters their username and password.

[1766] Step 2:

[1767] The device sends the entered username and password to the server.

[1768] Step 3:

[1769] The server receives the username and password.

[1770] Step 4:

[1771] The server hashes the password.

[1772] Step 5:

[1773] The server stores the hashed password and username in a database.

[1774] Step 6:

[1775] The server sends a registration completion message to the terminal.

[1776] User login

[1777] Step 1:

[1778] The user accesses the login form from the device and enters their username and password.

[1779] Step 2:

[1780] The device sends the entered username and password to the server.

[1781] Step 3:

[1782] The server receives the username and password and checks it against the information in its database.

[1783] Step 4:

[1784] The server checks the result and, if correct, starts a session and redirects to the dashboard.

[1785] Providing quizzes and surveys

[1786] Step 1:

[1787] The user accesses the quiz page from their device.

[1788] Step 2:

[1789] The server receives the request and retrieves the quiz data from a database or internal memory.

[1790] Step 3:

[1791] The server sends the acquired quiz data in JSON format to the terminal.

[1792] Step 4:

[1793] The terminal displays the received quiz data to the user.

[1794] Interactive response reception

[1795] Step 1:

[1796] The user answers the quiz and transmits the answer data from the terminal to the server.

[1797] Step 2:

[1798] The server receives the response data.

[1799] Step 3:

[1800] The server identifies the response data based on the user session and stores it in a database.

[1801] Emotion recognition and storage using an emotion engine

[1802] Collecting Emotional Data

[1803] Step 1:

[1804] Emotional data is collected using the device's camera and microphone while users answer quizzes and surveys.

[1805] Step 2:

[1806] The device sends the collected emotion data to the emotion engine.

[1807] Step 3:

[1808] The emotion engine analyzes the user's emotional state and generates specific emotion data (e.g., "joy," "sadness," "anxiety," etc.).

[1809] Step 4:

[1810] The terminal transmits the emotion data received from the emotion engine to the server.

[1811] Step 5:

[1812] The server stores the emotion data in a database.

[1813] Results display and feedback

[1814] Generating and Providing Feedback

[1815] Step 1:

[1816] The user accesses the results page from their device and requests feedback.

[1817] Step 2:

[1818] The server retrieves the user's response data and emotion data from the database.

[1819] Step 3:

[1820] The server analyzes the acquired data and generates personalized feedback.

[1821] Step 4:

[1822] The server generates feedback and sends it to the user's device.

[1823] Step 5:

[1824] The device displays feedback to the user.

[1825] Specific examples

[1826] User Registration:

[1827] Step 1: User enters "example_user" and "example_password".

[1828] Steps 2-6: The device sends the data to the server, which hashes the password, stores it in the database, and displays a completion message.

[1829] Quiz Survey:

[1830] Step 1: User visits the quiz page.

[1831] Steps 2-4: The server sends the quiz data and the device displays it.

[1832] Response acceptance:

[1833] Steps 1-3: The user selects "non-binary" and the server saves it in the database.

[1834] Emotion Engine:

[1835] Steps 1-5: The device collects, analyzes, and transmits emotional data such as "joy" or "sadness" via the emotion engine, and the server stores it in a database.

[1836] feedback:

[1837] Steps 1-5: The user requests feedback, the server generates analytical data, and displays it on the device.

[1838] In this way, by clearly showing what actions the server, terminal, and user perform at each step, the specific implementation process of the system can be understood.

[1839] Example 2

[1840] 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."

[1841] Current systems that support users' sexual self-awareness and gender understanding lack personalized support because they do not take into account their emotional state. They are also limited in providing specific feedback needed to deepen users' self-understanding. Therefore, there is a need for a system that can accurately recognize users' emotional state and provide detailed feedback based on that data.

[1842] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for receiving user registration information and storing it in a database, means for providing quiz / surveys, means for storing answer data received from the user, means for recognizing the user's emotional state and storing the emotional data in a database, means for analyzing the stored answer data and emotional data and generating feedback, and means for providing the analyzed feedback to the user. This makes it possible to provide personalized feedback that also takes into account the user's emotional state.

[1843] "User" refers to an individual who uses the System and accesses the System to answer quizzes and surveys in order to deepen their sexual self-awareness and gender understanding.

[1844] "Registration Information" means the personally identifiable information provided by a User when accessing the System, including, but not limited to, a username and password.

[1845] "Database" refers to a storage device or system for storing registration information, response data, and emotion data, which enables the retention and management of user information.

[1846] "Quiz / Survey" means a series of questions or questionnaires provided to users to enhance their sexual self-identification and gender understanding.

[1847] "Response Data" means the information you provide when responding to a quiz or survey, including your selections and entries.

[1848] "Session Information" means temporary identification information for a user while they are accessing the system, which allows us to track and manage individual user activity.

[1849] "Emotional state" refers to the user's mental and psychological state, including emotions such as "joy" and "sadness" that the system recognizes through means such as facial recognition and voice analysis.

[1850] "Emotional data" refers to data about the user's emotional state that the system recognizes, which allows it to generate more appropriate feedback.

[1851] "Feedback" refers to advice and information generated by the system based on the user's response data and emotional data, providing support to deepen the user's sexual self-awareness and gender understanding.

[1852] "Analysis" refers to a series of calculations and data processing to process the stored data and generate optimal feedback for the user.

[1853] The system of the present invention is a comprehensive tool to support users' self-identification of sexuality and gender understanding, and combines an emotion engine to recognize the user's emotional state and provide feedback based on it. This system is mainly implemented using a server, a terminal, and a generative AI model.

[1854] 1. User Registration and Login

[1855] Users access the system through a terminal and enter their username and password. The server receives this, hashes the password, and stores it in a database. When a user logs in, the server checks the username and password and, if they match, starts a session and redirects them to the dashboard. The software used includes the Django framework and a PostgreSQL database.

[1856] 2. Providing quizzes and surveys

[1857] When a user accesses a quiz / survey page, the server sends the quiz / survey data in JSON format to the device, which uses JavaScript to render this data in HTML format and display it to the user.

[1858] 3. Accepting responses through interactive exchanges

[1859] When a user completes a quiz or survey, the data is sent via an Ajax request to the server, which receives the data, identifies it based on the user's session information, and stores it in a database.

[1860] 4. Emotion recognition and storage using the emotion engine

[1861] Emotional data is collected through the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes the emotional data using, for example, Amazon Rekognition or Google Cloud Vision. The server receives this data and stores it in a database to create a profile of each individual user.

[1862] 5. Displaying results and feedback

[1863] When a user requests feedback, the server analyzes the response data and emotional data stored in the database and generates the feedback using a generative AI model (e.g., GPT-3). This allows for personalized feedback that takes into account the user's emotional state. For example, if a user answers "non-binary" and the emotional data indicates "anxiety," the server generates feedback suggesting "resources for deeper understanding" and "counseling services."

[1864] Prompt Sentence Examples

[1865] "Generate personalized feedback for each user based on their quiz answers and sentiment data. The quiz answers are {answer content}, and the sentiment data is {sentiment content}."

[1866] Through these steps, users can deepen their understanding of their sexuality and gender and receive emotional support. The system provides multifaceted feedback that also takes into account the user's psychological aspects, making it a powerful tool for promoting a friendly and inclusive social environment.

[1867] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1868] Step 1: User Registration

[1869] A user visits a registration page on their device and enters their username and password. The server receives this information, hashes the password, and stores it in a database.

[1870] Input: Username and Password.

[1871] Data processing: Password hashing.

[1872] Output: Hashed password and username stored in the database.

[1873] Specific behavior:

[1874] A user accesses a registration page (e.g., / register) on a terminal and enters the username "example_user" and password "example_pass." The server receives the data using the Django framework, hashes the password with bcrypt, and stores it in a PostgreSQL database.

[1875] Step 2: Log in

[1876] A user visits a login page and enters their username and password. The server receives the data and checks it against the information in its database. If it matches, it starts a session and redirects them to the dashboard.

[1877] Input: Username and Password.

[1878] Data operation: Hashing the entered password and matching it with the hash in the database.

[1879] Output: If there is a match, a session is started and the user is redirected to the dashboard.

[1880] Specific behavior:

[1881] A user visits a login page (e.g., / login) and enters the username "example_user" and password "example_pass." The server hashes the entered password and checks it against the hash in the database. If it matches, it starts a Django session and redirects the user to the dashboard (e.g., / dashboard).

[1882] Step 3: Offer a quiz or survey

[1883] When a user accesses a quiz / survey page, the server sends the quiz / survey data to the device and displays it.

[1884] Input: A request to access the quiz / survey page.

[1885] Data processing: Acquiring quiz and survey data and converting it to JSON format.

[1886] Output: Quiz / survey data is sent to the device and displayed.

[1887] Specific behavior:

[1888] A user visits a quiz / survey page (e.g., / quiz), the server sends pre-prepared quiz / survey data in JSON format to the device, which uses JavaScript to render the quiz / survey in HTML format and displays it to the user.

[1889] Step 4: Accepting responses

[1890] When a user answers a quiz or survey, the data is sent from the device to the server, which receives the data, identifies the user based on their session information, and stores it in a database.

[1891] Input: User quiz / survey answer data.

[1892] Data processing: Receiving and storing response data.

[1893] Output: The response data is saved in the database.

[1894] Specific behavior:

[1895] A user enters answers into a quiz / survey and the data is sent to the server via an Ajax request (e.g. POST / submit-quiz). The server receives the POST request in a Django view and inserts the answers into a database.

[1896] Step 5: Emotion Recognition

[1897] Emotion data is collected using the device's camera and microphone while or after the user answers a quiz or survey. The emotion engine analyzes this data and sends it to the server. The server receives the emotion data and stores it in a database.

[1898] Input: Emotional data collected on the device (e.g., facial recognition, speech analysis).

[1899] Data Computing: Emotional Data Analysis and Recognition.

[1900] Output: The emotion data is sent to the server and stored in a database.

[1901] Specific behavior:

[1902] The device's camera captures the user's facial expressions and analyzes them using Amazon Rekognition. The emotion engine generates emotion data such as "happiness" or "sadness" and sends it to the server. The server receives this emotion data and stores it in a database.

[1903] Step 6: Analysis and feedback generation

[1904] When a user requests feedback, the server analyzes the response data and emotion data and generates feedback using a generative AI model.

[1905] Input: User response data and sentiment data.

[1906] Data Computation: Analyzing data and generating feedback using generative AI models.

[1907] Output: Personalized feedback

[1908] Specific behavior:

[1909] The server retrieves the answer data and emotion data stored in the database and sends a prompt to the generative AI model (e.g., GPT-3) saying, "Please generate personalized feedback for the user based on the quiz answer and emotion data. The quiz answer is {Answer content}, and the emotion data is {Emotion content}." The generated feedback is sent to the user's device and displayed.

[1910] Step 7: View results and provide feedback

[1911] The server generates feedback and sends it to the terminal, which displays it to the user.

[1912] Input: Generated feedback.

[1913] Data processing: Sending and displaying feedback.

[1914] Output: Feedback is displayed to the user.

[1915] Specific behavior:

[1916] The user requests feedback on the dashboard, the server generates the feedback and sends it in JSON format to the device, which uses JavaScript to render the feedback in HTML format and display it to the user.

[1917] Through these specific processing steps, users receive detailed and personalized feedback to deepen their sexual self-awareness and gender understanding.

[1918] (Application example 2)

[1919] 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."

[1920] Conventional gender awareness support systems only provide unindividualized feedback because they do not take into account the user's emotional state. Furthermore, there is a lack of convenient systems that users can access while on the move or during counseling sessions in physical stores. This makes it difficult to provide appropriate support tailored to the user's psychological and emotional needs.

[1921] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for receiving and storing user registration information in a database, a means for providing quiz / surveys, and a means for storing answer data received from users. This makes it possible to promote understanding of a user's gender and provide personalized feedback that takes into account their emotional state. In addition, by collecting and analyzing user emotional data using cameras and voice analysis, it becomes possible to understand the user's psychological and emotional state and provide enhanced support in physical stores.

[1922] "User Registration Information" means the personal and identifying information provided by a User when accessing the System.

[1923] The "database" is a system for storing and managing user registration information, quiz and survey response data, and emotional data.

[1924] "Quiz / Survey" means questions or surveys provided to assist users in their sexual self-identification and gender understanding.

[1925] "Response Data" means data generated by a user's response to a quiz or survey.

[1926] "Emotional state" refers to the emotions a user experiences during and after taking a quiz or survey.

[1927] "Emotional data" refers to data that reflects the user's emotional state and is obtained through facial recognition, voice analysis, etc.

[1928] "Feedback" refers to advice and information provided based on the user's response data and emotional data.

[1929] The "camera" is an image capture device that captures the user's facial expressions and recognizes their emotional state.

[1930] "Voice analysis" refers to a technology that captures a user's voice and analyzes their emotional state.

[1931] "Smartphone" means a mobile information terminal used by a user to access the system.

[1932] "Smart glasses" are devices that allow users to access systems while visually acquiring information.

[1933] A "brick and mortar store" is a location that a user can physically visit and that offers goods or services.

[1934] "Session information" refers to information about a series of operations and interactions while a user is accessing a system.

[1935] "Analysis" is the process of extracting information from collected data and making sense of it.

[1936] "Personalization" means tailoring and delivering feedback in a way that best suits each user.

[1937] "Personalization" is a synonym for individualization and refers to responding to and providing services tailored to each individual user.

[1938] This invention is a system for supporting users' sexual self-identification and gender understanding, and uses an emotion engine to recognize the user's emotional state and provide personalized feedback based on this. This system can also be used in brick-and-mortar stores using smartphones or smart glasses.

[1939] System Configuration

[1940] The system consists of the following main components:

[1941] 1. User Registration / Login

[1942] Server: A user accesses the system and registers by entering their name and password. The registration information is hashed on the server and stored in a database. Upon login, the server verifies the provided credentials and starts a session.

[1943] Smartphones and smart glasses: These devices allow users to access the system, register and log in.

[1944] 2. Providing quizzes and surveys

[1945] Server: Prepares the quiz / survey data and serves it to the user. When the user visits the quiz page, the server displays the quiz / survey.

[1946] 3. Accepting responses through interactive exchanges

[1947] Smartphones / smart glasses: Users answer quizzes and surveys and send the response data to a server.

[1948] Server: Saves the received response data in a database and manages it in association with session information.

[1949] 4. Emotion Recognition by Emotion Engine

[1950] Smartphones and smart glasses: Capture the user's emotional state using cameras and voice analysis.

[1951] Server: Analyzes the captured emotion data and stores it in a database. The analysis uses a generative AI model.

[1952] 5. Displaying results and feedback

[1953] Server: Analyzes the user's response data and emotion data stored in the database and generates personalized feedback, which is provided to the user via their smartphone or smart glasses.

[1954] Hardware and software used

[1955] Hardware:

[1956] Smartphones and smart glasses

[1957] Camera and Microphone

[1958] software:

[1959] Emotion Engine

[1960] Database Management Systems

[1961] Server Software

[1962] Smartphone application

[1963] Specific examples

[1964] For example, if a user wears smart glasses and answers questions while walking around a physical store, the camera in the smart glasses will capture the user's facial expressions and the emotion engine will detect emotions such as "anxiety." The server will analyze this information and provide the user with feedback such as "counseling services" or "deep breathing guides to relieve stress."

[1965] Prompt Sentence Examples

[1966] Collect emotional data about the user's experience while taking the quiz, and if they feel anxious, provide guidance to reduce stress, such as deep breathing or relaxation techniques.

[1967] In this way, it is possible to support users' sexual self-awareness and gender understanding, and by providing emotional feedback, it is possible to provide support that also addresses the users' psychological and emotional needs.

[1968] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1969] Step 1: User Registration and Login

[1970] A user accesses the system through a smartphone or smart glasses and enters their name and password.

[1971] The server receives the entered registration information, hashes the password, stores it in a database, then matches the same information upon login, and if a match occurs, starts a session and redirects the user to the dashboard.

[1972] Input: Username, Password

[1973] Output: Session started, dashboard displayed

[1974] Data processing: password hashing

[1975] Operation: Authentication processing, session management

[1976] Step 2: Offer a quiz or survey

[1977] The server retrieves the prepared quiz survey data and sends the quiz survey content to the terminal when the user accesses the quiz page.

[1978] Input: Quiz / Survey Request

[1979] Output: Quiz / Survey screen display

[1980] Data processing: Acquiring and sending quiz and survey data

[1981] Action: Send data

[1982] Step 3: Interactive response

[1983] The user answers quizzes and surveys, and the terminal sends the answer data to the server.

[1984] The server receives the response data, stores it in a database, and manages the data in association with session information.

[1985] Input: Quiz response data

[1986] Output: Save to database

[1987] Data processing: Receiving and storing response data, associating it with session information

[1988] Action: Save data

[1989] Step 4: Emotion Recognition with the Emotion Engine

[1990] The device (smartphone, smart glasses) uses a camera and microphone to capture the user's facial expressions and voice.

[1991] The server analyzes the acquired data using an emotion engine to recognize the emotional state, and the analysis results are stored in a database.

[1992] Input: facial expression data, voice data

[1993] Output: Emotion data

[1994] Data processing: Analysis of facial expressions and voice data, recognition of emotional states

[1995] Actions: Emotion recognition, data storage

[1996] Step 5: Viewing results and feedback

[1997] The server analyzes the user's response data and emotional data stored in the database and generates personalized feedback.

[1998] The server sends the generated feedback to the terminal, allowing the user to view the feedback on their smartphone or smart glasses.

[1999] Input: Answer data, emotion data

[2000] Output: Feedback display

[2001] Data processing: Data analysis, feedback generation

[2002] Action: Provide feedback

[2003] These steps allow users to deepen their sexual self-awareness and gender understanding, and also provide feedback that takes into account their emotional state.

[2004] 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.

[2005] 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.

[2006] 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.

[2007] 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.

[2008] 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.

[2009] 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.

[2010] 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).

[2011] 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.

[2012] 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."

[2013] 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.

[2014] 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).

[2015] 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.

[2016] 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.

[2017] 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.

[2018] 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.

[2019] 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.

[2020] 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.

[2021] 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.

[2022] 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.

[2023] 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.

[2024] 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.

[2025] The following is further disclosed regarding the above embodiment.

[2026] (Claim 1)

[2027] A system for supporting users' sexual self-identification and gender understanding,

[2028] (a) a means of receiving and storing user registration information in a database;

[2029] (b) a means for delivering quizzes and surveys;

[2030] (c) a means for storing the response data received from the user;

[2031] (d) a means for analyzing the stored response data and generating feedback; and

[2032] (e) a means for providing analyzed feedback to the user; and

[2033] A system including:

[2034] (Claim 2)

[2035] 10. The system of claim 1, wherein when a user answers a quiz survey, the answer data is identified based on the session information and stored in a database.

[2036] (Claim 3)

[2037] 10. The system of claim 1, wherein personalized feedback is generated based on the user's response data and presented to the user.

[2038] "Example 1"

[2039] (Claim 1)

[2040] A system for supporting users' sexual self-identification and gender understanding,

[2041] (a) a means for receiving a username and password, hashing the password, and storing it in a database;

[2042] (b) a means of providing quiz / survey data; and

[2043] (c) a means for storing the quiz / survey response data received from the user in a database based on the session information;

[2044] (d) a means for analyzing the stored response data and generating personalized feedback; and

[2045] (e) a means for providing the generated feedback to the user; and

[2046] A system including:

[2047] (Claim 2)

[2048] 10. The system of claim 1, wherein when a user answers a quiz survey, the answer data is identified based on the session information and stored in a database.

[2049] (Claim 3)

[2050] 10. The system of claim 1, wherein personalized feedback is generated based on the user's response data and presented to the user.

[2051] "Application Example 1"

[2052] (Claim 1)

[2053] A system for supporting users' sexual self-identification and gender understanding,

[2054] (a) a means of receiving and storing user registration information in a database;

[2055] (b) a means for delivering quizzes and surveys;

[2056] (c) a means for storing the response data received from the user;

[2057] (d) a means for analyzing the stored response data and generating feedback; and

[2058] (e) a means of generating analyzed feedback based on both gender self-identification and security risk; and

[2059] (f) a means for users to provide feedback, including suggestions for improvement, regarding security risks; and

[2060] A system including:

[2061] (Claim 2)

[2062] 10. The system of claim 1, wherein when a user answers a quiz survey, the answer data is identified based on the session information and stored in a database.

[2063] (Claim 3)

[2064] 10. The system of claim 1, wherein personalized feedback is generated based on the user's response data and presented to the user.

[2065] "Example 2: Combining Emotion Engines"

[2066] (Claim 1)

[2067] A system for supporting users' sexual self-identification and gender understanding,

[2068] (a) a means of receiving and storing user registration information in a database;

[2069] (b) a means for delivering quizzes and surveys;

[2070] (c) a means for storing the response data received from the user;

[2071] (d) a means for recognizing the emotional state of the user and storing the emotional data in a database;

[2072] (e) a means for analyzing the stored response data and emotion data and generating feedback;

[2073] (f) a means of providing analyzed feedback to the user; and

[2074] A system including:

[2075] (Claim 2)

[2076] 10. The system of claim 1, wherein when a user answers a quiz survey, the answer data is identified based on the session information and stored in a database.

[2077] (Claim 3)

[2078] 10. The system according to claim 1, wherein personalized feedback is generated based on the user's response data and emotion data, and presented to the user.

[2079] "Application example 2 when combining emotion engines"

[2080] (Claim 1)

[2081] A system for supporting users' sexual self-identification and gender understanding,

[2082] (a) a means of receiving and storing user registration information in a database;

[2083] (b) a means for delivering quizzes and surveys;

[2084] (c) a means for storing the response data received from the user;

[2085] (d) a means for analyzing the stored response data and generating feedback; and

[2086] (e) a means for providing analyzed feedback to the user; and

[2087] (f) a means for recognizing the emotional state of a user and collecting emotional data;

[2088] (g) a means for personalizing feedback based on collected emotional data; and

[2089] (h) A means of detecting user emotions using camera and voice analysis functions;

[2090] (i) A means for users to access the system through their smartphones or smart glasses while on the move or during consultations in physical stores;

[2091] A system including:

[2092] (Claim 2)

[2093] 10. The system of claim 1, wherein when a user answers a quiz survey, answer data and emotion data are identified based on session information and stored in a database.

[2094] (Claim 3)

[2095] 10. The system according to claim 1, wherein personalized feedback is generated based on the user's response data and emotion data, and presented to the user. [Explanation of symbols]

[2096] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A system for supporting users' sexual self-identification and gender understanding, (a) means for receiving and storing user registration information in a database; (b) a means for providing a quiz survey; (c) a means for storing response data received from users; (d) means for analyzing the stored response data and generating feedback; (e) means for providing analyzed feedback to the user; and A system including:

2. 10. The system of claim 1, wherein when a user answers a quiz survey, the answer data is identified based on the session information and stored in a database.

3. The system according to claim 1 , wherein personalized feedback is generated based on the user's response data and presented to the user.

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