system

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting, by a user, a birth date and an MBTI type of a child; means for storing, by a server, the input birth date and MBTI type of the child in a database; means for analyzing, by the server, personality and behavioral characteristics of the child from viewpoints of personality psychology and MBTI based on the birth date and MBTI type of the child stored in the database; means for receiving, by the server, a question from the user and generating an optimal answer based on analyzed data; and means for providing the generated answer 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] As adolescents grow, their emotions and behavioral patterns change dramatically, making it often difficult for parents and educators to understand their feelings and behavior. Finding an appropriate way to respond can also be a challenge, resulting in communication issues. The present invention aims to solve these issues by providing a system that analyzes the characteristics of adolescents and suggests optimal ways to respond based on the analysis results. [Means for solving the problem]

[0005] The present invention solves the above problems by the following means.

[0006] The system includes: a means for a user to input a child's date of birth and MBTI type; a server for storing the input date of birth and MBTI type in a database; a server for analyzing the child's personality and behavioral characteristics from the perspective of personality psychology and the MBTI based on the child's date of birth and MBTI type stored in the database; a server for receiving a question from the user and generating an optimal answer based on the analyzed data; and a server for providing the generated answer to the user. The system also includes a server for indicating an optimal response based on the analyzed data, and a database of adolescent children's behavioral patterns and real voices that the server has and for generating answers based on, thereby enabling parents and educators to communicate smoothly with adolescent children.

[0007] "User" refers to the parent or educator who enters the child's information and asks questions of the adolescent.

[0008] "Server" refers to a computer system that receives children's information and questions sent by users, stores them in a database, analyzes them, and generates answers.

[0009] "Terminal" refers to a device (such as a smartphone, tablet, or computer) that a user uses to input and transmit information.

[0010] "Child's date of birth" is date data including the child's birthday, and indicates one important piece of information for analysis.

[0011] "MBTI type" is a classification method for indicating a child's personality traits and is an abbreviation for Myers-Briggs Type Indicator.

[0012] The "database" refers to a data store that stores children's information, behavioral patterns, real voices, etc.

[0013] "Personality psychology" refers to the field of psychology that understands and analyzes an individual's personality and behavioral tendencies.

[0014] "Analysis" refers to the process of working with data and extracting useful information or meaning from it.

[0015] "Question" refers to a matter or question about a child that a user submits to the server.

[0016] "Answer" refers to the optimal message or instruction generated and provided by the server in response to a user's question.

[0017] "Optimal response method" refers to the response method that is deemed to be the most effective for adolescent children based on the analysis results. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] The present invention is a system for suggesting appropriate ways to respond to adolescents. This system allows parents and educators to communicate smoothly with adolescents by inputting, saving, and analyzing specific information and generating optimal responses based on the analysis results.

[0040] System Configuration

[0041] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[0042] Program processing overview

[0043] Enter and save information

[0044] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[0045] Examples:

[0046] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0047] The terminal sends this information to the server, which stores it in a database.

[0048] User question input

[0049] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0050] Examples:

[0051] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0052] Information analysis and answer generation

[0053] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, and also references data on the real voices and behavioral patterns of adolescent children to generate the optimal answer.

[0054] Examples:

[0055] The server analyzes data about the INTP child and generates the answer, "Leave him alone for now. He'll do it when he feels he needs to."

[0056] Submitting and viewing answers

[0057] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[0058] Examples:

[0059] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[0060] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[0061] Implementation flow

[0062] The user first enters the child's information, then enters a question. All of this information is sent to the server and stored in a database. The server analyzes the stored information, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who can then use it to take appropriate action for their child.

[0063] This system provides practical support to parents and educators to facilitate smooth communication with adolescent children and respond appropriately.

[0064] The processing flow will be explained below.

[0065] Step 1:

[0066] The user uses the terminal to enter the child's date of birth and MBTI type.

[0067] Step 2:

[0068] The device sends the entered child's date of birth and MBTI type to the server.

[0069] Step 3:

[0070] The server stores the received child's date of birth and MBTI type in a database.

[0071] Step 4:

[0072] The user uses the terminal to enter specific questions about their adolescent child.

[0073] Step 5:

[0074] The terminal transmits the entered question and pre-stored information about the child to the server.

[0075] Step 6:

[0076] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[0077] Step 7:

[0078] Based on the information obtained from the child, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[0079] Step 8:

[0080] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[0081] Step 9:

[0082] The server generates the best answer to the user's question based on the extracted data.

[0083] Step 10:

[0084] The server transmits the generated optimal answer to the terminal.

[0085] Step 11:

[0086] The terminal receives the response from the server and displays it to the user.

[0087] Step 12:

[0088] The user checks the answer displayed on the terminal and takes appropriate action against the child based on the answer.

[0089] Example 1

[0090] 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."

[0091] There is a need to facilitate communication between adolescent children and their parents and educators, and to provide appropriate ways of dealing with children based on their personalities and behavioral characteristics.However, there is a problem in that there is limited information to understand children's personalities and behavioral characteristics, and limited means to obtain appropriate advice, making it difficult to deal with them effectively.

[0092] 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.

[0093] In this invention, the server includes: means for a user to input the child's date of birth and personality type; means for the server to store the input child's date of birth and personality type in a data storage device; means for the server to analyze the child's personality and behavioral characteristics from the perspective of personality psychology and personality analysis based on the child's date of birth and personality type stored in the data storage device; means for the server to receive questions from the user and generate optimal answers based on the analyzed data; and means for providing the generated answers to the user. This enables parents and educators to quickly obtain specific and appropriate ways of dealing with children based on their individual personality traits and behavioral patterns.

[0094] A "user" is a person who uses the system to input information about their child and receive appropriate advice, typically a parent or educator.

[0095] "Child's date of birth" refers to the date of birth of the child, and is important basic information for analysis.

[0096] "Personality type" refers to a type with characteristics classified from the perspective of personality psychology and personality analysis, and includes personality classifications such as MBTI.

[0097] A "server" is a computer system that receives, stores, analyzes, and generates responses to information.

[0098] "Data storage device" refers to a storage system for holding received data, typically a database.

[0099] "Analysis" is the process of processing information from the perspective of personality psychology and character analysis based on the data received, and deriving meaningful results.

[0100] An "answer" is an appropriate response to a user's question that the server generates based on the analysis results.

[0101] "Behavioral patterns" refer to a child's specific behavioral tendencies in specific situations, and analyzing these can provide more appropriate responses.

[0102] "Real voices" refers to data that includes real-life observations and personal accounts of growing children's behaviors and emotions.

[0103] MODE FOR CARRYING OUT THE INVENTION

[0104] The present invention is a system for suggesting appropriate ways to respond to adolescent children. This system consists of the following components, which cooperate to input, store, analyze, and generate answers for information.

[0105] System Configuration

[0106] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[0107] Enter and save information

[0108] The user enters the child's date of birth and personality type through a terminal. Specifically, the user uses an application or web form that provides a user interface (UI). The information entered by the user is converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives this information and stores it in a data storage device (e.g., a database such as MySQL (registered trademark) or PostgreSQL).

[0109] Examples:

[0110] The user enters the child's date of birth (May 12, 2008) and personality type (INTP) into the terminal.

[0111] The device sends this information to the server as an HTTP POST request.

[0112] The server stores the received data in a data storage device.

[0113] User question input

[0114] Next, the user enters specific questions about their adolescent child into the device. These questions are also converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives the questions and stores them in a data storage device.

[0115] Examples:

[0116] The user types the question "Why don't you study?"

[0117] The device sends the question data to the server as an HTTP POST request.

[0118] The server stores the query data in a data storage device.

[0119] Information analysis and answer generation

[0120] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and character analysis, based on the child's date of birth and personality type stored in the data storage device. This analysis process also references data on the child's behavioral patterns and actual voice during their development. The server uses this information to generate optimal answers using a generative AI model.

[0121] Examples:

[0122] The server analyzes data about the personality type "INTP" and extracts corresponding behavioral characteristics.

[0123] The analysis results are input into a generative AI model, which generates the answer, "Leave it alone for now. I'll do it when I feel it needs to be done someday."

[0124] Submitting and viewing answers

[0125] The server sends the generated response to the terminal, which then displays the received response on a user interface so that the user can understand the appropriate response.

[0126] Examples:

[0127] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to." and sends it to the device.

[0128] The terminal displays the answer on the user interface.

[0129] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[0130] Prompt Sentence Examples

[0131] Prompt: "How can I address the issue of why my 14-year-old INTP child isn't studying?"

[0132] The present invention enables parents and educators to quickly acquire specific methods for smoothly communicating with adolescent children and responding appropriately.

[0133] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0134] Step 1: Enter your information

[0135] The user enters the child's date of birth and personality type on the device, which converts the information into JSON or XML format and then sends the converted information to the server as an HTTP POST request.

[0136] Specific behavior:

[0137] A user enters "May 12, 2008" and "INTP" into the app's input form.

[0138] The device converts this data into JSON format and generates an HTTP POST request.

[0139] The request is sent over the Internet to a server.

[0140] Input: Child's date of birth, personality type

[0141] Output: HTTP POST request to the server

[0142] Step 2: Save data

[0143] The server analyzes the received information and stores it in a data storage device (database). The stored data is mapped to appropriate fields.

[0144] Specific behavior:

[0145] The server receives the HTTP POST request and parses the payload.

[0146] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[0147] The database sends the saved results back to the server.

[0148] Input: HTTP POST request (child's date of birth, personality type)

[0149] Output: New entry in the database

[0150] Step 3: Enter your question

[0151] Users enter specific questions about their child into the device, which is converted to JSON or XML format and sent to the server as an HTTP POST request.

[0152] Specific behavior:

[0153] The user enters "Why don't you study?" into the app's question input form.

[0154] The device converts the question into JSON format and generates an HTTP POST request.

[0155] The request is sent over the Internet to a server.

[0156] Input: Question

[0157] Output: HTTP POST request to the server

[0158] Step 4: Save the question data

[0159] The server stores the received query data in a data storage device (database), and the query data is also mapped appropriately to fields.

[0160] Specific behavior:

[0161] The server receives an HTTP POST request containing the question data and parses the payload.

[0162] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[0163] The database sends the saved results back to the server.

[0164] Input: HTTP POST request (question)

[0165] Output: New entry in the database

[0166] Step 5: Information analysis

[0167] The server retrieves the child's date of birth and personality type from the database and analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and personality analysis.

[0168] Specific behavior:

[0169] The server runs an SQL query to retrieve the child's date of birth and personality type from the database.

[0170] The acquired information is loaded into internal memory and the analysis algorithm is executed.

[0171] Analysis results are saved to internal storage or memory.

[0172] Input: Child's date of birth and personality type retrieved from the database

[0173] Output: Analysis results

[0174] Step 6: Answer Generation

[0175] Based on the analysis results, the server uses a generative AI model to generate answers to the user's questions.

[0176] Specific behavior:

[0177] The server formats the analysis results as input for the generated AI model.

[0178] Provide input data along with prompts to the generative AI model.

[0179] The AI ​​model generates an answer and sends it back to the server.

[0180] Input: Analysis result, prompt statement

[0181] Output: The generated answer

[0182] Step 7: Submit your response

[0183] The server generates an answer and sends it to the device, where the answer is provided as an HTTP response.

[0184] Specific behavior:

[0185] The server includes the generated answer in the body of the HTTP response.

[0186] Generates an HTTP response and begins sending it to the device.

[0187] The device receives the response.

[0188] Input: Generated answer

[0189] Output: HTTP response to the device

[0190] Step 8: View Answers

[0191] The device displays the received response on the user interface, and the user checks the displayed response and decides on an appropriate response method.

[0192] Specific behavior:

[0193] The device analyzes the HTTP response and extracts the answer.

[0194] Bind the answers to UI components and display them on the screen.

[0195] User views answer.

[0196] Input: HTTP response from the server

[0197] Output: Display the answer to the user

[0198] (Application example 1)

[0199] 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."

[0200] Communicating with adolescent children is an extremely difficult task for parents and educators. Understanding each child's personality and behavioral characteristics and selecting appropriate responses requires a great deal of time and effort. Furthermore, conventional methods often fail to adequately reflect children's real voices and daily changing behavioral patterns, resulting in ineffective responses. Therefore, there is a strong need for a system that can solve these challenges.

[0201] 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.

[0202] In this invention, the server includes means for a user to input the child's date of birth and MBTI type, means for storing the input date of birth and MBTI type in a database, means for analyzing the child's personality and behavioral characteristics from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, means for receiving questions from the user and using a generative AI model based on the analyzed data to create prompts and generate optimal answers, means for providing the generated answers to the user, and an interface that parents and educators can easily use in the virtual store. This enables parents and educators to obtain optimal responses based on the personality of their adolescent children.

[0203] "Users" refers to parents and educators who use the system.

[0204] "Date of birth" refers to data indicating the year, month, and day a child was born.

[0205] "MBTI type" refers to the results of a personality classification based on the Myers-Briggs Type Indicator.

[0206] "Server" refers to a computer system that has the ability to receive, store, and analyze data from users.

[0207] "Database" refers to an information system for systematically storing input data such as children's birth dates and MBTI types.

[0208] "Personality psychology" refers to the branch of psychology that studies the personality and behavioral characteristics of individual people.

[0209] "Analysis" refers to the act of detecting specific patterns or characteristics based on input data and extracting meaningful information.

[0210] A "generative AI model" refers to an algorithm that uses AI technology to generate optimal answers from input data.

[0211] A "prompt sentence" refers to the input sentence given to a generative AI model, which serves as the basis for generating an answer.

[0212] "Virtual store" refers to a virtual sales or service location provided over the Internet.

[0213] "Interface" refers to the point of contact between humans and machines, including the screen and operating tools that users use to operate the system.

[0214] MODE FOR CARRYING OUT THE INVENTION

[0215] The present invention provides a system for supporting smooth communication with adolescent children. A specific embodiment will be described below using a user, a terminal, and a server.

[0216] 1. Hardware and Software Used

[0217] Hardware:

[0218] User devices: smartphones, tablets, computers

[0219] Server: A computer system responsible for analyzing data and generating responses.

[0220] software:

[0221] Database system: MySQL

[0222] Analysis engine: Django framework

[0223] Frontend: React Native

[0224] 2. Program Processing Overview

[0225] Entering and saving user information

[0226] Users enter their child's date of birth and MBTI type via a device such as a smartphone or tablet. The information is then sent from the device to a server, which stores it in a database.

[0227] Examples:

[0228] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0229] The terminal sends this information to the server, which stores it in a database.

[0230] User question input

[0231] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0232] Examples:

[0233] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0234] Information analysis and answer generation

[0235] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. It also references data based on the real voices and behavioral patterns of adolescent children, creates prompts using a generative AI model, and generates optimal answers.

[0236] Examples:

[0237] The server analyzes the data about the INTP child and generates the following prompt:

[0238] Child's MBTI Type: INTP

[0239] Child's date of birth: May 12, 2008

[0240] Q: Why don't you study?

[0241] answer:

[0242] The generated answer is "Leave it alone for now. I'll do it when I feel the need to."

[0243] Submitting and viewing answers

[0244] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[0245] Examples:

[0246] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[0247] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[0248] In this way, the present invention provides practical support to parents and educators to facilitate communication with adolescents and to respond appropriately.

[0249] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0250] Step 1:

[0251] The user enters the child's date of birth and MBTI type through a user interface (e.g., an app screen on a smartphone or tablet).

[0252] Input: Child's date of birth and MBTI type

[0253] Output: Terminal sends input data to the server

[0254] Step 2:

[0255] The device sends the entered child's date of birth and MBTI type to the server. The device then generates an HTTP request to send the data entered by the user and sends it to the server.

[0256] Input: Data entered by the user

[0257] Output: Date of birth and MBTI type sent to the server

[0258] Specific behavior: Generating an HTTP request and sending data

[0259] Step 3:

[0260] The server saves the child's date of birth and MBTI type in a database. The server analyzes the received data, converts it into an appropriate data format, and stores it in the database.

[0261] Input: Date of birth and MBTI type sent to the server

[0262] Output: Save to database

[0263] Specific operations: Data analysis, format conversion, and storage in a database

[0264] Step 4:

[0265] The user enters specific questions about their adolescent child through the device. The user enters the question on the app screen and presses the send button.

[0266] Input: Question

[0267] Output: Question data sent by the terminal to the server

[0268] Step 5:

[0269] The terminal sends the entered question to the server. The terminal generates an HTTP request to send the question data entered by the user and sends it to the server.

[0270] Input: User question data

[0271] Output: Question data sent to the server

[0272] Specific behavior: Generating an HTTP request and sending data

[0273] Step 6:

[0274] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. The server then applies a personality psychology algorithm to identify the child's behavioral characteristics.

[0275] Input: Child's date of birth and MBTI type

[0276] Output: Analysis of personality traits and behavioral patterns

[0277] Specific operations: Applying algorithms, data analysis

[0278] Step 7:

[0279] The server uses a generative AI model to create a prompt sentence and generate an optimal answer. The server supplies the analyzed data as input to a generative AI model (e.g., a Hugging Face model), which generates an appropriate prompt sentence and then generates an answer.

[0280] Input: Analysis results of personality traits and behavioral patterns, questions

[0281] Output: The prompt and the generated answer

[0282] Specific operations: Input to generative AI model, prompt generation, answer generation

[0283] Step 8:

[0284] The server sends the generated answer to the terminal. The server generates an HTTP response to send the generated answer to the terminal.

[0285] Input: Generated answer

[0286] Output: Sending the answer data to the terminal

[0287] Specific behavior: Generating an HTTP response and sending data

[0288] Step 9:

[0289] The terminal displays the received answer to the user, and the terminal updates the user interface to display the answer data received from the server.

[0290] Input: Response data sent from the server

[0291] Output: Displaying the answer in a user interface

[0292] Specific behavior: Update the user interface and display the answer

[0293] 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.

[0294] This invention is a system that suggests appropriate ways to interact with adolescent children, and is characterized by recognizing the user's emotions and providing answers and methods of interaction that take these into consideration. This system inputs, saves, and analyzes information such as the child's date of birth and MBTI type, and generates optimal answers to questions from the user. In addition, it recognizes the user's emotions and suggests appropriate ways of interaction that reflect these emotions, thereby helping parents and educators to communicate smoothly with adolescent children.

[0295] System Configuration

[0296] This system consists of a user, a terminal, a server, and an emotion engine. The users are parents and educators, and the terminals are devices such as smartphones, tablets, and computers. The server is a computer system responsible for storing information, analyzing it, and generating answers. The emotion engine is a module that recognizes the user's emotions and provides the results to the server.

[0297] Program processing overview

[0298] Enter and save information

[0299] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[0300] Examples:

[0301] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0302] The terminal sends this information to the server, which stores it in a database.

[0303] User question input

[0304] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0305] Examples:

[0306] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0307] emotion recognition

[0308] The device's built-in emotion engine then recognizes the user's emotions. The emotion engine analyzes voice, facial expressions, and other vital signs to determine the emotions the user is feeling. The recognized emotions are then sent to the server.

[0309] Examples:

[0310] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress or anger.

[0311] Information analysis and answer generation

[0312] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the user's emotional data and the questions they have sent. It also references data on the real voices and behavioral patterns of adolescent children to generate optimal answers that take the user's emotions into account.

[0313] Examples:

[0314] When the user asks the question "Why don't you study?", the server takes into account the emotions of stress and anger recognized by the emotion engine and generates an answer such as "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[0315] Submitting and viewing answers

[0316] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[0317] Examples:

[0318] The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the terminal, which then displays the response to the user.

[0319] Based on the displayed answer, the user takes a deep breath and then speaks gently to the child.

[0320] Implementation flow

[0321] The user first enters information about their child, then enters a question. All of this information is sent to the server and stored in a database. The emotion engine then recognizes the user's emotions, and this data is also sent to the server. The server analyzes the stored information and the recognized emotion data, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who then uses it to take appropriate action for their child.

[0322] This system provides practical support for parents and educators to facilitate smooth communication with their adolescent children and provide appropriate responses. By taking the user's emotions into consideration, more personalized responses are possible, which is expected to contribute to improving parent-child relationships.

[0323] The processing flow will be explained below.

[0324] Step 1:

[0325] The user uses the terminal to input the child's date of birth and MBTI type. For example, the user inputs the child's date of birth "May 12, 2008" and MBTI type "INTP."

[0326] Step 2:

[0327] The device sends the entered child's date of birth and MBTI type to the server.

[0328] Step 3:

[0329] The server stores the received child's date of birth and MBTI type in a database.

[0330] Step 4:

[0331] The user uses the terminal to input a specific question about the adolescent, for example, "Why don't you study?"

[0332] Step 5:

[0333] The terminal transmits the entered question and pre-stored information about the child to the server.

[0334] Step 6:

[0335] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[0336] Step 7:

[0337] The device's emotion engine recognizes the user's emotions. For example, it uses a camera and microphone to analyze facial expressions and voice when the user types a question, and recognizes emotions such as stress or anger.

[0338] Step 8:

[0339] The device transmits the recognized emotion data to the server.

[0340] Step 9:

[0341] Based on the acquired child information and the user's emotional data, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[0342] Step 10:

[0343] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[0344] Step 11:

[0345] The server takes into account the extracted data and the user's emotions to generate the most appropriate answer. For example, it generates an answer such as, "First, take a deep breath to calm down. Then, try speaking to your child gently."

[0346] Step 12:

[0347] The server transmits the generated optimal answer to the terminal.

[0348] Step 13:

[0349] The device receives the response from the server and displays it to the user, who then checks the response and takes appropriate action based on it, such as taking a deep breath and speaking to the child in a gentle voice.

[0350] In this way, the system takes into account the user's emotions and provides optimal ways of dealing with adolescents.

[0351] Example 2

[0352] 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."

[0353] There is a need to provide specific and accurate methods of response to support smooth communication between adolescent children and their parents and educators. However, conventional systems have difficulty in properly analyzing children's personalities and behavioral characteristics to generate optimal responses, and furthermore, they have problems in not being able to provide methods of response that take the user's emotions into consideration.

[0354] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0355] In this invention, the server includes: means for a user to input the birth date and psychological type of the child; means for storing the input birth date and psychological type of the child in a database; means for analyzing the personality and behavioral characteristics of the child from the perspective of individual psychology and psychological type based on the birth date and psychological type stored in the database; means for receiving a question from the user and generating an optimal answer based on the analyzed data; means for collecting voice and facial expression data from the user and recognizing emotions using an emotion recognition function installed in the terminal; means for generating an optimal answer by taking into account the recognized emotion data of the user, and means for providing the generated answer to the user. This enables individualized responses that take into account the user's emotions, thereby achieving smoother communication with adolescent children.

[0356] "User" refers to parents, educators, and others who use the system to find the best ways to interact with adolescents.

[0357] "Terminal" refers to a device, such as a smartphone, tablet, or computer, that a user uses to access the system and enter information.

[0358] "Server" refers to a computer system that stores information, analyzes it, generates responses, and handles data processing for the entire system.

[0359] "Date of birth" refers to information indicating the year, month, and day of a child's birth.

[0360] "Psychological type" refers to a category that classifies an individual's personality traits based on theories such as MBTI.

[0361] "Database" refers to a system or storage that efficiently stores and manages information.

[0362] "Individual psychology" refers to the field of psychology that studies and analyzes the personality and behavioral characteristics of individuals.

[0363] The "psychological type perspective" refers to a way of classifying individuals based on theories such as MBTI and understanding their personality and behavioral characteristics.

[0364] "Emotion recognition function" refers to technology that uses the device's built-in camera and microphone to analyze the user's emotions from their voice and facial expression data.

[0365] "Answer" refers to a system-generated response containing information or advice to a user's question.

[0366] "Behavioral characteristics" refer to characteristics that indicate an individual's behavioral patterns and reactions in specific situations.

[0367] "Adolescents" generally refer to children between the ages of 10 and 18.

[0368] The present invention is a system for supporting smooth communication with adolescent children, and in particular provides responses and methods of response that take into consideration the user's emotions. Hereinafter, an embodiment of the present invention will be described in detail.

[0369] System Configuration

[0370] This system consists of a user, a device, a server, and an emotion recognition engine. The users are parents or educators, and the devices are information terminals such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers. The emotion recognition engine is a module installed on the device that recognizes the user's emotions and provides the results to the server.

[0371] Program processing overview

[0372] Enter and save information

[0373] The user inputs the child's date of birth and psychological type (e.g., MBTI type) through the terminal. The input information is sent from the terminal to the server, which stores the information in a database. This stored information is used in subsequent analysis processes.

[0374] Example: A user enters their child's birth date (May 12, 2008) and psychological type (INTP) into a terminal, and the terminal sends this information to a server, which stores it in a database.

[0375] Enter a question

[0376] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0377] Example: A user types the question "Why don't you study?" and the device sends this question to a server.

[0378] emotion recognition

[0379] The device's built-in emotion recognition engine recognizes the user's emotions in real time. Specifically, it uses a speech recognition library (e.g., Google® Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to analyze the user's voice and facial expressions while they are typing and identify their emotions. The recognized emotions are sent from the device to the server.

[0380] Example: Using the device's camera and microphone, the voice and facial expressions of the user while they are typing a question are analyzed to recognize emotions such as "stress" and "anger."

[0381] Information analysis and answer generation

[0382] The server analyzes the child's personality traits and behavioral patterns from the perspective of individual psychology and psychological types (e.g., MBTI) based on the submitted questions and the user's recognized emotional data. It then references a database of adolescent behavioral patterns and generates optimal answers based on the analysis results. Generative AI models (e.g., GPT-3 (registered trademark)) are used to generate answers.

[0383] Example: Based on the user's question "Why don't you study?" and the emotion of "stress" recognized by the emotion engine, the server generates the answer "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[0384] Submitting and viewing answers

[0385] The generated answer is sent from the server to the terminal, and the terminal displays it to the user, allowing the user to take appropriate action against the child based on the answer.

[0386] Example: The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the device. The device then displays the response to the user. The user then takes specific action based on the response displayed.

[0387] Example prompts for generative AI models

[0388] Here are some examples of prompts to input to a generative AI model:

[0389] "My 10-year-old child won't do any of his homework. How do I approach this with a child who has an INTP personality type? This user is feeling stressed."

[0390] By inputting this prompt into a generative AI model, the model generates appropriate advice and responses.

[0391] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0392] Step 1:

[0393] The user enters the child's date of birth and psychological type into the device. The entered information is immediately sent from the device to the server. Specifically, the user enters the child's date of birth (May 12, 2008) and psychological type (INTP), and the device sends this as an HTTP POST request in JSON format to the server. The server receives the request and inserts the information into the database.

[0394] Input: Child's date of birth "May 12, 2008" and psychological type "INTP"

[0395] Output: Date of birth and psychological type of the child stored in the database

[0396] Step 2:

[0397] The user inputs a specific question about their adolescent child into the device. For example, "Why don't you study?", and the device sends it to the server. The device sends the question data to the server as an HTTP POST request in JSON format, and the server receives the question data and stores it in a database.

[0398] Input: User question "Why don't you study?"

[0399] Output: User's question stored in the database

[0400] Step 3:

[0401] The device's emotion recognition function analyzes the user's voice and facial expressions in real time to recognize emotions. Emotion recognition uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to identify the user's emotion (e.g., "stress"). The recognized emotion data is sent from the device to a server.

[0402] Input: User's voice and facial expression data

[0403] Output: Recognized user emotion data (e.g., "stress")

[0404] Step 4:

[0405] The server performs an analysis based on the question received from the user, the recognized emotional data, and the child's date of birth and psychological type stored in the database. The server analyzes the child's personality traits and behavioral patterns based on individual psychology and psychological type, and creates a prompt for the generative AI model based on the analysis results. Example prompt: "I want to know why my 10-year-old INTP child isn't studying. The user is feeling stressed."

[0406] Input: User question, recognized emotion data, stored child's date of birth and psychological type

[0407] Output: Prompt sentence to the generative AI model

[0408] Step 5:

[0409] The server inputs the prompt into a generative AI model (e.g., GPT-3) to generate the optimal answer, which is then received by the server and sent to the device as an HTTP response.

[0410] Input: Prompt sentence for generative AI model

[0411] Output: Generated answer (e.g., "First, take a deep breath to calm down. Then, try speaking to your child in a gentle voice.")

[0412] Step 6:

[0413] The terminal displays the generated response received from the server to the user, who can then take actual corresponding action based on the displayed response.

[0414] Input: Generated answer from the server

[0415] Output: Answers displayed on the device, and actual actions taken by the user

[0416] The above is the specific flow of program processing in this system.

[0417] (Application example 2)

[0418] 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."

[0419] In today's security services, it is extremely important for security guards and security personnel to remain calm and respond appropriately to emergencies and sudden troubles. However, when responding to an emergency on-site, security guards can be influenced by their own emotions and take inappropriate measures. A system to improve this situation is needed.

[0420] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to input the subject's date of birth and personality classification information; means for the server to store the input subject's date of birth and personality classification information in a database; means for the server to analyze the subject's personality and behavioral characteristics from the perspective of personality psychology and personality classification based on the subject's date of birth and personality classification information stored in the database; emotion recognition means for recognizing the user's emotion and providing the emotion to the server; and means for the server to receive a question from the user, generate an optimal response based on the analyzed data and the recognized emotion, and provide the generated answer to the user. This enables the security guard to maintain his or her composure while receiving advice in real time to take the optimal response.

[0421] "User" refers to the security guards and other security personnel who use the system.

[0422] "Subjects" refers to the general public and specific protected persons at the security service site.

[0423] "Date of birth" is information indicating the year, month, and day on which the subject was born.

[0424] "Personality classification information" refers to information used to evaluate and classify a subject's personality and psychological characteristics.

[0425] "Server" refers to a computer system that stores and analyzes input data, and generates and provides necessary information.

[0426] "Database" refers to a data structure on a computer system for systematically storing and managing information.

[0427] "Personality psychology" refers to information from psychological research and theories about people's personality and behavioral characteristics, and is used to understand and evaluate personality.

[0428] "Emotion recognition means" refers to technology for identifying a user's emotional state by analyzing the user's facial expressions, voice, and other physiological data.

[0429] "Response methods" refer to specific procedures and methods for appropriately dealing with emergencies and problems.

[0430] "Real time" refers to the concept of time in which processing is performed immediately upon input and the results are returned to the user almost immediately.

[0431] This invention is a system for security guards and security personnel in security services to smoothly respond to situations on the ground. This system allows users (security guards) to input the target person's date of birth and personality classification information and receive the optimal response method in the event of an emergency or trouble.

[0432] System Configuration

[0433] This system consists of a user (security guard), a terminal, a server, and emotion recognition means. The user is a security guard or security officer, and the terminal is a device such as a smartphone or tablet. The server is a computer system that stores information, analyzes it, and generates responses. The emotion recognition means recognizes the user's emotions from their voice and facial expressions and provides that data to the server.

[0434] Program processing overview

[0435] Hardware and software used:

[0436] Hardware:

[0437] Smartphone or tablet (with camera and microphone)

[0438] software:

[0439] Emotion Recognition Engine

[0440] Text analysis engine (AI model)

[0441] Database management system (SQL database)

[0442] Communication module (wireless communication)

[0443] Enter and save information:

[0444] The user inputs the subject's date of birth and personality classification information into the device. This information is sent from the device to the server, which stores it in a database. This stored information is used in subsequent analysis processes.

[0445] Examples:

[0446] The user enters the personality classification information "May 12, 1990" and "ENFJ" into the terminal.

[0447] The terminal sends this information to the server, which stores it in a database.

[0448] User enters question:

[0449] The user enters specific questions about the situation on-site into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and generation of a response method.

[0450] Examples:

[0451] The user inputs the question "The crowd is chaotic" and the terminal sends this question to the server.

[0452] Emotion recognition:

[0453] The emotion recognition means installed in the device recognizes the user's emotions. The emotion recognition means analyzes the user's voice and facial expressions to identify the user's emotions. The recognized emotions are sent to the server.

[0454] Examples:

[0455] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress and tension.

[0456] Information analysis and response generation:

[0457] Based on the question and the recognized emotional data, the server analyzes the subject's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method.

[0458] Examples:

[0459] In response to the question "The crowd is in chaos," the server takes into consideration the emotion of stress recognized by the emotion recognition means and generates a response method such as "First, take a deep breath. Then, calmly guide the crowd and contact an emergency department."

[0460] Send and view responses:

[0461] The server sends the generated response method to the terminal, which then displays it to the user, who can then take appropriate action on the spot based on the response method.

[0462] Examples:

[0463] The server generates a response method, "First, take a deep breath. Then, calmly guide the crowd." and sends it to the terminal, which then displays the response method to the user.

[0464] Example prompt sentence:

[0465] Emotion recognition should analyze emotional data that indicates stress and suggest appropriate countermeasures that take this into consideration. The input situation is "The crowd being guided is beginning to become confused."

[0466] This allows the security guard to remain calm and handle the situation in the most appropriate way. This is a concrete example of the basic flow and functionality of the "Security Assistant Application."

[0467] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0468] Step 1: Enter and save information

[0469] Input: The user enters the subject's date of birth and personality classification information into a smartphone or tablet device.

[0470] How it works: The device sends the input data to the server, which stores it in a database.

[0471] Data processing and calculation: The server integrates the date of birth and personality classification information into a database for subsequent analysis.

[0472] Output: The saved data will be used as the basis for analyzing the subject's personality and behavioral characteristics.

[0473] Step 2: User enters question

[0474] Input: The user types questions about the situation at the site into the terminal.

[0475] Action: The device sends this question to the server.

[0476] Data processing and calculation: The server temporarily stores the query data from the user for analysis and prepares it for the necessary processing.

[0477] Output: The question data sent to the server becomes the basis for generating an appropriate response method.

[0478] Step 3: Emotion Recognition

[0479] Input: Facial expression and voice data when the user enters a question.

[0480] How it works: The device's built-in emotion recognition means uses the camera and microphone to analyze the user's facial expressions and voice in real time and identify their emotions.

[0481] Data processing and calculation: The emotion recognition engine analyzes facial expressions and voice data, generates identified emotion data, and sends it to the server.

[0482] Output: Emotion data is generated and sent to the server.

[0483] Step 4: Information analysis and response generation

[0484] Input: Stored date of birth and personality classification information, on-site situation question data, recognized emotion data.

[0485] Operation: The server analyzes the target person's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method that also takes into account the user's emotions.

[0486] Data processing and calculation: The server uses an AI model to comprehensively analyze each piece of data received and generate a response method.

[0487] Output: Data of the generated response methods is created.

[0488] Step 5: Send and display response instructions

[0489] Input: Generated response method data.

[0490] Operation: The server sends the generated response to the terminal, which displays it to the user.

[0491] Data processing and calculation: The generated response method is formatted and processed to be displayed visually or audibly, and presented using the terminal display and speaker.

[0492] Output: The user receives visual and / or audio instructions on how to respond.

[0493] Through these steps, security guards can receive appropriate on-site responses in real time, providing more effective security services.

[0494] 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.

[0495] 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.

[0496] 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.

[0497] [Second embodiment]

[0498] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0499] 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.

[0500] 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).

[0501] 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.

[0502] 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.

[0503] 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).

[0504] 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.

[0505] 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.

[0506] 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.

[0507] 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.

[0508] In the smart glasses 214, 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.

[0509] 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."

[0510] The present invention is a system for suggesting appropriate ways to respond to adolescents. This system allows parents and educators to communicate smoothly with adolescents by inputting, saving, and analyzing specific information and generating optimal responses based on the analysis results.

[0511] System Configuration

[0512] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[0513] Program processing overview

[0514] Enter and save information

[0515] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[0516] Examples:

[0517] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0518] The terminal sends this information to the server, which stores it in a database.

[0519] User question input

[0520] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0521] Examples:

[0522] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0523] Information analysis and answer generation

[0524] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, and also references data on the real voices and behavioral patterns of adolescent children to generate the optimal answer.

[0525] Examples:

[0526] The server analyzes data about the INTP child and generates the answer, "Leave him alone for now. He'll do it when he feels he needs to."

[0527] Submitting and viewing answers

[0528] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[0529] Examples:

[0530] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[0531] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[0532] Implementation flow

[0533] The user first enters the child's information, then enters a question. All of this information is sent to the server and stored in a database. The server analyzes the stored information, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who can then use it to take appropriate action for their child.

[0534] This system provides practical support to parents and educators to facilitate smooth communication with adolescent children and respond appropriately.

[0535] The processing flow will be explained below.

[0536] Step 1:

[0537] The user uses the terminal to enter the child's date of birth and MBTI type.

[0538] Step 2:

[0539] The device sends the entered child's date of birth and MBTI type to the server.

[0540] Step 3:

[0541] The server stores the received child's date of birth and MBTI type in a database.

[0542] Step 4:

[0543] The user uses the terminal to enter specific questions about their adolescent child.

[0544] Step 5:

[0545] The terminal transmits the entered question and pre-stored information about the child to the server.

[0546] Step 6:

[0547] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[0548] Step 7:

[0549] Based on the information obtained from the child, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[0550] Step 8:

[0551] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[0552] Step 9:

[0553] The server generates the best answer to the user's question based on the extracted data.

[0554] Step 10:

[0555] The server transmits the generated optimal answer to the terminal.

[0556] Step 11:

[0557] The terminal receives the response from the server and displays it to the user.

[0558] Step 12:

[0559] The user checks the answer displayed on the terminal and takes appropriate action against the child based on the answer.

[0560] Example 1

[0561] 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."

[0562] There is a need to facilitate communication between adolescent children and their parents and educators, and to provide appropriate ways of dealing with children based on their personalities and behavioral characteristics.However, there is a problem in that there is limited information to understand children's personalities and behavioral characteristics, and limited means to obtain appropriate advice, making it difficult to deal with them effectively.

[0563] 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.

[0564] In this invention, the server includes: means for a user to input the child's date of birth and personality type; means for the server to store the input child's date of birth and personality type in a data storage device; means for the server to analyze the child's personality and behavioral characteristics from the perspective of personality psychology and personality analysis based on the child's date of birth and personality type stored in the data storage device; means for the server to receive questions from the user and generate optimal answers based on the analyzed data; and means for providing the generated answers to the user. This enables parents and educators to quickly obtain specific and appropriate ways of dealing with children based on their individual personality traits and behavioral patterns.

[0565] A "user" is a person who uses the system to input information about their child and receive appropriate advice, typically a parent or educator.

[0566] "Child's date of birth" refers to the date of birth of the child, and is important basic information for analysis.

[0567] "Personality type" refers to a type with characteristics classified from the perspective of personality psychology and personality analysis, and includes personality classifications such as MBTI.

[0568] A "server" is a computer system that receives, stores, analyzes, and generates responses to information.

[0569] "Data storage device" refers to a storage system for holding received data, typically a database.

[0570] "Analysis" is the process of processing information from the perspective of personality psychology and character analysis based on the data received, and deriving meaningful results.

[0571] An "answer" is an appropriate response to a user's question that the server generates based on the analysis results.

[0572] "Behavioral patterns" refer to a child's specific behavioral tendencies in specific situations, and analyzing these can provide more appropriate responses.

[0573] "Real voices" refers to data that includes real-life observations and personal accounts of growing children's behaviors and emotions.

[0574] MODE FOR CARRYING OUT THE INVENTION

[0575] The present invention is a system for suggesting appropriate ways to respond to adolescent children. This system consists of the following components, which cooperate to input, store, analyze, and generate answers for information.

[0576] System Configuration

[0577] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[0578] Enter and save information

[0579] The user enters the child's date of birth and personality type through a terminal. Specifically, the user uses an application or web form that provides a user interface (UI). The information entered by the user is converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives this information and stores it in a data storage device (e.g., a database such as MySQL or PostgreSQL).

[0580] Examples:

[0581] The user enters the child's date of birth (May 12, 2008) and personality type (INTP) into the terminal.

[0582] The device sends this information to the server as an HTTP POST request.

[0583] The server stores the received data in a data storage device.

[0584] User question input

[0585] Next, the user enters specific questions about their adolescent child into the device. These questions are also converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives the questions and stores them in a data storage device.

[0586] Examples:

[0587] The user types the question "Why don't you study?"

[0588] The device sends the question data to the server as an HTTP POST request.

[0589] The server stores the query data in a data storage device.

[0590] Information analysis and answer generation

[0591] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and character analysis, based on the child's date of birth and personality type stored in the data storage device. This analysis process also references data on the child's behavioral patterns and actual voice during their development. The server uses this information to generate optimal answers using a generative AI model.

[0592] Examples:

[0593] The server analyzes data about the personality type "INTP" and extracts corresponding behavioral characteristics.

[0594] The analysis results are input into a generative AI model, which generates the answer, "Leave it alone for now. I'll do it when I feel it needs to be done someday."

[0595] Submitting and viewing answers

[0596] The server sends the generated response to the terminal, which then displays the received response on a user interface so that the user can understand the appropriate response.

[0597] Examples:

[0598] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to." and sends it to the device.

[0599] The terminal displays the answer on the user interface.

[0600] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[0601] Prompt Sentence Examples

[0602] Prompt: "How can I address the issue of why my 14-year-old INTP child isn't studying?"

[0603] The present invention enables parents and educators to quickly acquire specific methods for smoothly communicating with adolescent children and responding appropriately.

[0604] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0605] Step 1: Enter your information

[0606] The user enters the child's date of birth and personality type on the device, which converts the information into JSON or XML format and then sends the converted information to the server as an HTTP POST request.

[0607] Specific behavior:

[0608] A user enters "May 12, 2008" and "INTP" into the app's input form.

[0609] The device converts this data into JSON format and generates an HTTP POST request.

[0610] The request is sent over the Internet to a server.

[0611] Input: Child's date of birth, personality type

[0612] Output: HTTP POST request to the server

[0613] Step 2: Save data

[0614] The server analyzes the received information and stores it in a data storage device (database). The stored data is mapped to appropriate fields.

[0615] Specific behavior:

[0616] The server receives the HTTP POST request and parses the payload.

[0617] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[0618] The database sends the saved results back to the server.

[0619] Input: HTTP POST request (child's date of birth, personality type)

[0620] Output: New entry in the database

[0621] Step 3: Enter your question

[0622] Users enter specific questions about their child into the device, which is converted to JSON or XML format and sent to the server as an HTTP POST request.

[0623] Specific behavior:

[0624] The user enters "Why don't you study?" into the app's question input form.

[0625] The device converts the question into JSON format and generates an HTTP POST request.

[0626] The request is sent over the Internet to a server.

[0627] Input: Question

[0628] Output: HTTP POST request to the server

[0629] Step 4: Save the question data

[0630] The server stores the received query data in a data storage device (database), and the query data is also mapped appropriately to fields.

[0631] Specific behavior:

[0632] The server receives an HTTP POST request containing the question data and parses the payload.

[0633] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[0634] The database sends the saved results back to the server.

[0635] Input: HTTP POST request (question)

[0636] Output: New entry in the database

[0637] Step 5: Information analysis

[0638] The server retrieves the child's date of birth and personality type from the database and analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and personality analysis.

[0639] Specific behavior:

[0640] The server runs an SQL query to retrieve the child's date of birth and personality type from the database.

[0641] The acquired information is loaded into internal memory and the analysis algorithm is executed.

[0642] Analysis results are saved to internal storage or memory.

[0643] Input: Child's date of birth and personality type retrieved from the database

[0644] Output: Analysis results

[0645] Step 6: Answer Generation

[0646] Based on the analysis results, the server uses a generative AI model to generate answers to the user's questions.

[0647] Specific behavior:

[0648] The server formats the analysis results as input for the generated AI model.

[0649] Provide input data along with prompts to the generative AI model.

[0650] The AI ​​model generates an answer and sends it back to the server.

[0651] Input: Analysis result, prompt statement

[0652] Output: The generated answer

[0653] Step 7: Submit your response

[0654] The server generates an answer and sends it to the device, where the answer is provided as an HTTP response.

[0655] Specific behavior:

[0656] The server includes the generated answer in the body of the HTTP response.

[0657] Generates an HTTP response and begins sending it to the device.

[0658] The device receives the response.

[0659] Input: Generated answer

[0660] Output: HTTP response to the device

[0661] Step 8: View Answers

[0662] The device displays the received response on the user interface, and the user checks the displayed response and decides on an appropriate response method.

[0663] Specific behavior:

[0664] The device analyzes the HTTP response and extracts the answer.

[0665] Bind the answers to UI components and display them on the screen.

[0666] User views answer.

[0667] Input: HTTP response from the server

[0668] Output: Display the answer to the user

[0669] (Application example 1)

[0670] 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."

[0671] Communicating with adolescent children is an extremely difficult task for parents and educators. Understanding each child's personality and behavioral characteristics and selecting appropriate responses requires a great deal of time and effort. Furthermore, conventional methods often fail to adequately reflect children's real voices and daily changing behavioral patterns, resulting in ineffective responses. Therefore, there is a strong need for a system that can solve these challenges.

[0672] 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.

[0673] In this invention, the server includes means for a user to input the child's date of birth and MBTI type, means for storing the input date of birth and MBTI type in a database, means for analyzing the child's personality and behavioral characteristics from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, means for receiving questions from the user and using a generative AI model based on the analyzed data to create prompts and generate optimal answers, means for providing the generated answers to the user, and an interface that parents and educators can easily use in the virtual store. This enables parents and educators to obtain optimal responses based on the personality of their adolescent children.

[0674] "Users" refers to parents and educators who use the system.

[0675] "Date of birth" refers to data indicating the year, month, and day a child was born.

[0676] "MBTI type" refers to the results of a personality classification based on the Myers-Briggs Type Indicator.

[0677] "Server" refers to a computer system that has the ability to receive, store, and analyze data from users.

[0678] "Database" refers to an information system for systematically storing input data such as children's birth dates and MBTI types.

[0679] "Personality psychology" refers to the branch of psychology that studies the personality and behavioral characteristics of individual people.

[0680] "Analysis" refers to the act of detecting specific patterns or characteristics based on input data and extracting meaningful information.

[0681] A "generative AI model" refers to an algorithm that uses AI technology to generate optimal answers from input data.

[0682] A "prompt sentence" refers to the input sentence given to a generative AI model, which serves as the basis for generating an answer.

[0683] "Virtual store" refers to a virtual sales or service location provided over the Internet.

[0684] "Interface" refers to the point of contact between humans and machines, including the screen and operating tools that users use to operate the system.

[0685] MODE FOR CARRYING OUT THE INVENTION

[0686] The present invention provides a system for supporting smooth communication with adolescent children. A specific embodiment will be described below using a user, a terminal, and a server.

[0687] 1. Hardware and Software Used

[0688] Hardware:

[0689] User devices: smartphones, tablets, computers

[0690] Server: A computer system responsible for analyzing data and generating responses.

[0691] software:

[0692] Database system: MySQL

[0693] Analysis engine: Django framework

[0694] Frontend: React Native

[0695] 2. Program Processing Overview

[0696] Entering and saving user information

[0697] Users enter their child's date of birth and MBTI type via a device such as a smartphone or tablet. The information is then sent from the device to a server, which stores it in a database.

[0698] Examples:

[0699] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0700] The terminal sends this information to the server, which stores it in a database.

[0701] User question input

[0702] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0703] Examples:

[0704] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0705] Information analysis and answer generation

[0706] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. It also references data based on the real voices and behavioral patterns of adolescent children, creates prompts using a generative AI model, and generates optimal answers.

[0707] Examples:

[0708] The server analyzes the data about the INTP child and generates the following prompt:

[0709] Child's MBTI Type: INTP

[0710] Child's date of birth: May 12, 2008

[0711] Q: Why don't you study?

[0712] answer:

[0713] The generated answer is "Leave it alone for now. I'll do it when I feel the need to."

[0714] Submitting and viewing answers

[0715] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[0716] Examples:

[0717] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[0718] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[0719] In this way, the present invention provides practical support to parents and educators to facilitate communication with adolescents and to respond appropriately.

[0720] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0721] Step 1:

[0722] The user enters the child's date of birth and MBTI type through a user interface (e.g., an app screen on a smartphone or tablet).

[0723] Input: Child's date of birth and MBTI type

[0724] Output: Terminal sends input data to the server

[0725] Step 2:

[0726] The device sends the entered child's date of birth and MBTI type to the server. The device then generates an HTTP request to send the data entered by the user and sends it to the server.

[0727] Input: Data entered by the user

[0728] Output: Date of birth and MBTI type sent to the server

[0729] Specific behavior: Generating an HTTP request and sending data

[0730] Step 3:

[0731] The server saves the child's date of birth and MBTI type in a database. The server analyzes the received data, converts it into an appropriate data format, and stores it in the database.

[0732] Input: Date of birth and MBTI type sent to the server

[0733] Output: Save to database

[0734] Specific operations: Data analysis, format conversion, and storage in a database

[0735] Step 4:

[0736] The user enters specific questions about their adolescent child through the device. The user enters the question on the app screen and presses the send button.

[0737] Input: Question

[0738] Output: Question data sent by the terminal to the server

[0739] Step 5:

[0740] The terminal sends the entered question to the server. The terminal generates an HTTP request to send the question data entered by the user and sends it to the server.

[0741] Input: User question data

[0742] Output: Question data sent to the server

[0743] Specific behavior: Generating an HTTP request and sending data

[0744] Step 6:

[0745] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. The server then applies a personality psychology algorithm to identify the child's behavioral characteristics.

[0746] Input: Child's date of birth and MBTI type

[0747] Output: Analysis of personality traits and behavioral patterns

[0748] Specific operations: Applying algorithms, data analysis

[0749] Step 7:

[0750] The server uses a generative AI model to create a prompt sentence and generate an optimal answer. The server supplies the analyzed data as input to a generative AI model (e.g., a Hugging Face model), which generates an appropriate prompt sentence and then generates an answer.

[0751] Input: Analysis results of personality traits and behavioral patterns, questions

[0752] Output: The prompt and the generated answer

[0753] Specific operations: Input to generative AI model, prompt generation, answer generation

[0754] Step 8:

[0755] The server sends the generated answer to the terminal. The server generates an HTTP response to send the generated answer to the terminal.

[0756] Input: Generated answer

[0757] Output: Sending the answer data to the terminal

[0758] Specific behavior: Generating an HTTP response and sending data

[0759] Step 9:

[0760] The terminal displays the received answer to the user, and the terminal updates the user interface to display the answer data received from the server.

[0761] Input: Response data sent from the server

[0762] Output: Displaying the answer in a user interface

[0763] Specific behavior: Update the user interface and display the answer

[0764] 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.

[0765] This invention is a system that suggests appropriate ways to interact with adolescent children, and is characterized by recognizing the user's emotions and providing answers and methods of interaction that take these into consideration. This system inputs, saves, and analyzes information such as the child's date of birth and MBTI type, and generates optimal answers to questions from the user. In addition, it recognizes the user's emotions and suggests appropriate ways of interaction that reflect these emotions, thereby helping parents and educators to communicate smoothly with adolescent children.

[0766] System Configuration

[0767] This system consists of a user, a terminal, a server, and an emotion engine. The users are parents and educators, and the terminals are devices such as smartphones, tablets, and computers. The server is a computer system responsible for storing information, analyzing it, and generating answers. The emotion engine is a module that recognizes the user's emotions and provides the results to the server.

[0768] Program processing overview

[0769] Enter and save information

[0770] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[0771] Examples:

[0772] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0773] The terminal sends this information to the server, which stores it in a database.

[0774] User question input

[0775] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0776] Examples:

[0777] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0778] emotion recognition

[0779] The device's built-in emotion engine then recognizes the user's emotions. The emotion engine analyzes voice, facial expressions, and other vital signs to determine the emotions the user is feeling. The recognized emotions are then sent to the server.

[0780] Examples:

[0781] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress or anger.

[0782] Information analysis and answer generation

[0783] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the user's emotional data and the questions they have sent. It also references data on the real voices and behavioral patterns of adolescent children to generate optimal answers that take the user's emotions into account.

[0784] Examples:

[0785] When the user asks the question "Why don't you study?", the server takes into account the emotions of stress and anger recognized by the emotion engine and generates an answer such as "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[0786] Submitting and viewing answers

[0787] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[0788] Examples:

[0789] The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the terminal, which then displays the response to the user.

[0790] Based on the displayed answer, the user takes a deep breath and then speaks gently to the child.

[0791] Implementation flow

[0792] The user first enters information about their child, then enters a question. All of this information is sent to the server and stored in a database. The emotion engine then recognizes the user's emotions, and this data is also sent to the server. The server analyzes the stored information and the recognized emotion data, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who then uses it to take appropriate action for their child.

[0793] This system provides practical support for parents and educators to facilitate smooth communication with their adolescent children and provide appropriate responses. By taking the user's emotions into consideration, more personalized responses are possible, which is expected to contribute to improving parent-child relationships.

[0794] The processing flow will be explained below.

[0795] Step 1:

[0796] The user uses the terminal to input the child's date of birth and MBTI type. For example, the user inputs the child's date of birth "May 12, 2008" and MBTI type "INTP."

[0797] Step 2:

[0798] The device sends the entered child's date of birth and MBTI type to the server.

[0799] Step 3:

[0800] The server stores the received child's date of birth and MBTI type in a database.

[0801] Step 4:

[0802] The user uses the terminal to input a specific question about the adolescent, for example, "Why don't you study?"

[0803] Step 5:

[0804] The terminal transmits the entered question and pre-stored information about the child to the server.

[0805] Step 6:

[0806] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[0807] Step 7:

[0808] The device's emotion engine recognizes the user's emotions. For example, it uses a camera and microphone to analyze facial expressions and voice when the user types a question, and recognizes emotions such as stress or anger.

[0809] Step 8:

[0810] The device transmits the recognized emotion data to the server.

[0811] Step 9:

[0812] Based on the acquired child information and the user's emotional data, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[0813] Step 10:

[0814] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[0815] Step 11:

[0816] The server takes into account the extracted data and the user's emotions to generate the most appropriate answer. For example, it generates an answer such as, "First, take a deep breath to calm down. Then, try speaking to your child gently."

[0817] Step 12:

[0818] The server transmits the generated optimal answer to the terminal.

[0819] Step 13:

[0820] The device receives the response from the server and displays it to the user, who then checks the response and takes appropriate action based on it, such as taking a deep breath and speaking to the child in a gentle voice.

[0821] In this way, the system takes into account the user's emotions and provides optimal ways of dealing with adolescents.

[0822] Example 2

[0823] 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."

[0824] There is a need to provide specific and accurate methods of response to support smooth communication between adolescent children and their parents and educators. However, conventional systems have difficulty in properly analyzing children's personalities and behavioral characteristics to generate optimal responses, and furthermore, they have problems in not being able to provide methods of response that take the user's emotions into consideration.

[0825] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0826] In this invention, the server includes: means for a user to input the birth date and psychological type of the child; means for storing the input birth date and psychological type of the child in a database; means for analyzing the personality and behavioral characteristics of the child from the perspective of individual psychology and psychological type based on the birth date and psychological type stored in the database; means for receiving a question from the user and generating an optimal answer based on the analyzed data; means for collecting voice and facial expression data from the user and recognizing emotions using an emotion recognition function installed in the terminal; means for generating an optimal answer by taking into account the recognized emotion data of the user, and means for providing the generated answer to the user. This enables individualized responses that take into account the user's emotions, thereby achieving smoother communication with adolescent children.

[0827] "User" refers to parents, educators, and others who use the system to find the best ways to interact with adolescents.

[0828] "Terminal" refers to a device, such as a smartphone, tablet, or computer, that a user uses to access the system and enter information.

[0829] "Server" refers to a computer system that stores information, analyzes it, generates responses, and handles data processing for the entire system.

[0830] "Date of birth" refers to information indicating the year, month, and day of a child's birth.

[0831] "Psychological type" refers to a category that classifies an individual's personality traits based on theories such as MBTI.

[0832] "Database" refers to a system or storage that efficiently stores and manages information.

[0833] "Individual psychology" refers to the field of psychology that studies and analyzes the personality and behavioral characteristics of individuals.

[0834] The "psychological type perspective" refers to a way of classifying individuals based on theories such as MBTI and understanding their personality and behavioral characteristics.

[0835] "Emotion recognition function" refers to technology that uses the device's built-in camera and microphone to analyze the user's emotions from their voice and facial expression data.

[0836] "Answer" refers to a system-generated response containing information or advice to a user's question.

[0837] "Behavioral characteristics" refer to characteristics that indicate an individual's behavioral patterns and reactions in specific situations.

[0838] "Adolescents" generally refer to children between the ages of 10 and 18.

[0839] The present invention is a system for supporting smooth communication with adolescent children, and in particular provides responses and methods of response that take into consideration the user's emotions. Hereinafter, an embodiment of the present invention will be described in detail.

[0840] System Configuration

[0841] This system consists of a user, a device, a server, and an emotion recognition engine. The users are parents or educators, and the devices are information terminals such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers. The emotion recognition engine is a module installed on the device that recognizes the user's emotions and provides the results to the server.

[0842] Program processing overview

[0843] Enter and save information

[0844] The user inputs the child's date of birth and psychological type (e.g., MBTI type) through the terminal. The input information is sent from the terminal to the server, which stores the information in a database. This stored information is used in subsequent analysis processes.

[0845] Example: A user enters their child's birth date (May 12, 2008) and psychological type (INTP) into a terminal, and the terminal sends this information to a server, which stores it in a database.

[0846] Enter a question

[0847] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0848] Example: A user types the question "Why don't you study?" and the device sends this question to a server.

[0849] emotion recognition

[0850] The device's built-in emotion recognition engine recognizes the user's emotions in real time. Specifically, it uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to analyze the user's voice and facial expressions while they are typing and identify their emotions. The recognized emotions are sent from the device to the server.

[0851] Example: Using the device's camera and microphone, the voice and facial expressions of the user while they are typing a question are analyzed to recognize emotions such as "stress" and "anger."

[0852] Information analysis and answer generation

[0853] The server analyzes the child's personality traits and behavioral patterns from the perspective of individual psychology and psychological types (e.g., MBTI) based on the submitted questions and the user's recognized emotional data. It then references a database of adolescent behavioral patterns and generates optimal answers based on the analysis results. Generative AI models (e.g., GPT-3) are used to generate answers.

[0854] Example: Based on the user's question "Why don't you study?" and the emotion of "stress" recognized by the emotion engine, the server generates the answer "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[0855] Submitting and viewing answers

[0856] The generated answer is sent from the server to the terminal, and the terminal displays it to the user, allowing the user to take appropriate action against the child based on the answer.

[0857] Example: The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the device. The device then displays the response to the user. The user then takes specific action based on the response displayed.

[0858] Example prompts for generative AI models

[0859] Here are some examples of prompts to input to a generative AI model:

[0860] "My 10-year-old child won't do any of his homework. How do I approach this with a child who has an INTP personality type? This user is feeling stressed."

[0861] By inputting this prompt into a generative AI model, the model generates appropriate advice and responses.

[0862] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0863] Step 1:

[0864] The user enters the child's date of birth and psychological type into the device. The entered information is immediately sent from the device to the server. Specifically, the user enters the child's date of birth (May 12, 2008) and psychological type (INTP), and the device sends this as an HTTP POST request in JSON format to the server. The server receives the request and inserts the information into the database.

[0865] Input: Child's date of birth "May 12, 2008" and psychological type "INTP"

[0866] Output: Date of birth and psychological type of the child stored in the database

[0867] Step 2:

[0868] The user inputs a specific question about their adolescent child into the device. For example, "Why don't you study?", and the device sends it to the server. The device sends the question data to the server as an HTTP POST request in JSON format, and the server receives the question data and stores it in a database.

[0869] Input: User question "Why don't you study?"

[0870] Output: User's question stored in the database

[0871] Step 3:

[0872] The device's emotion recognition function analyzes the user's voice and facial expressions in real time to recognize emotions. Emotion recognition uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to identify the user's emotion (e.g., "stress"). The recognized emotion data is sent from the device to a server.

[0873] Input: User's voice and facial expression data

[0874] Output: Recognized user emotion data (e.g., "stress")

[0875] Step 4:

[0876] The server performs an analysis based on the question received from the user, the recognized emotional data, and the child's date of birth and psychological type stored in the database. The server analyzes the child's personality traits and behavioral patterns based on individual psychology and psychological type, and creates a prompt for the generative AI model based on the analysis results. Example prompt: "I want to know why my 10-year-old INTP child isn't studying. The user is feeling stressed."

[0877] Input: User question, recognized emotion data, stored child's date of birth and psychological type

[0878] Output: Prompt sentence to the generative AI model

[0879] Step 5:

[0880] The server inputs the prompt into a generative AI model (e.g., GPT-3) to generate the optimal answer, which is then received by the server and sent to the device as an HTTP response.

[0881] Input: Prompt sentence for generative AI model

[0882] Output: Generated answer (e.g., "First, take a deep breath to calm down. Then, try speaking to your child in a gentle voice.")

[0883] Step 6:

[0884] The terminal displays the generated response received from the server to the user, who can then take actual corresponding action based on the displayed response.

[0885] Input: Generated answer from the server

[0886] Output: Answers displayed on the device, and actual actions taken by the user

[0887] The above is the specific flow of program processing in this system.

[0888] (Application example 2)

[0889] 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."

[0890] In today's security services, it is extremely important for security guards and security personnel to remain calm and respond appropriately to emergencies and sudden troubles. However, when responding to an emergency on-site, security guards can be influenced by their own emotions and take inappropriate measures. A system to improve this situation is needed.

[0891] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to input the subject's date of birth and personality classification information; means for the server to store the input subject's date of birth and personality classification information in a database; means for the server to analyze the subject's personality and behavioral characteristics from the perspective of personality psychology and personality classification based on the subject's date of birth and personality classification information stored in the database; emotion recognition means for recognizing the user's emotion and providing the emotion to the server; and means for the server to receive a question from the user, generate an optimal response based on the analyzed data and the recognized emotion, and provide the generated answer to the user. This enables the security guard to maintain his or her composure while receiving advice in real time to take the optimal response.

[0892] "User" refers to the security guards and other security personnel who use the system.

[0893] "Subjects" refers to the general public and specific protected persons at the security service site.

[0894] "Date of birth" is information indicating the year, month, and day on which the subject was born.

[0895] "Personality classification information" refers to information used to evaluate and classify a subject's personality and psychological characteristics.

[0896] "Server" refers to a computer system that stores and analyzes input data, and generates and provides necessary information.

[0897] "Database" refers to a data structure on a computer system for systematically storing and managing information.

[0898] "Personality psychology" refers to information from psychological research and theories about people's personality and behavioral characteristics, and is used to understand and evaluate personality.

[0899] "Emotion recognition means" refers to technology for identifying a user's emotional state by analyzing the user's facial expressions, voice, and other physiological data.

[0900] "Response methods" refer to specific procedures and methods for appropriately dealing with emergencies and problems.

[0901] "Real time" refers to the concept of time in which processing is performed immediately upon input and the results are returned to the user almost immediately.

[0902] This invention is a system for security guards and security personnel in security services to smoothly respond to situations on the ground. This system allows users (security guards) to input the target person's date of birth and personality classification information and receive the optimal response method in the event of an emergency or trouble.

[0903] System Configuration

[0904] This system consists of a user (security guard), a terminal, a server, and emotion recognition means. The user is a security guard or security officer, and the terminal is a device such as a smartphone or tablet. The server is a computer system that stores information, analyzes it, and generates responses. The emotion recognition means recognizes the user's emotions from their voice and facial expressions and provides that data to the server.

[0905] Program processing overview

[0906] Hardware and software used:

[0907] Hardware:

[0908] Smartphone or tablet (with camera and microphone)

[0909] software:

[0910] Emotion Recognition Engine

[0911] Text analysis engine (AI model)

[0912] Database management system (SQL database)

[0913] Communication module (wireless communication)

[0914] Enter and save information:

[0915] The user inputs the subject's date of birth and personality classification information into the device. This information is sent from the device to the server, which stores it in a database. This stored information is used in subsequent analysis processes.

[0916] Examples:

[0917] The user enters the personality classification information "May 12, 1990" and "ENFJ" into the terminal.

[0918] The terminal sends this information to the server, which stores it in a database.

[0919] User enters question:

[0920] The user enters specific questions about the situation on-site into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and generation of a response method.

[0921] Examples:

[0922] The user inputs the question "The crowd is chaotic" and the terminal sends this question to the server.

[0923] Emotion recognition:

[0924] The emotion recognition means installed in the device recognizes the user's emotions. The emotion recognition means analyzes the user's voice and facial expressions to identify the user's emotions. The recognized emotions are sent to the server.

[0925] Examples:

[0926] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress and tension.

[0927] Information analysis and response generation:

[0928] Based on the question and the recognized emotional data, the server analyzes the subject's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method.

[0929] Examples:

[0930] In response to the question "The crowd is in chaos," the server takes into consideration the emotion of stress recognized by the emotion recognition means and generates a response method such as "First, take a deep breath. Then, calmly guide the crowd and contact an emergency department."

[0931] Send and view responses:

[0932] The server sends the generated response method to the terminal, which then displays it to the user, who can then take appropriate action on the spot based on the response method.

[0933] Examples:

[0934] The server generates a response method, "First, take a deep breath. Then, calmly guide the crowd." and sends it to the terminal, which then displays the response method to the user.

[0935] Example prompt sentence:

[0936] Emotion recognition should analyze emotional data that indicates stress and suggest appropriate countermeasures that take this into consideration. The input situation is "The crowd being guided is beginning to become confused."

[0937] This allows the security guard to remain calm and handle the situation in the most appropriate way. This is a concrete example of the basic flow and functionality of the "Security Assistant Application."

[0938] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0939] Step 1: Enter and save information

[0940] Input: The user enters the subject's date of birth and personality classification information into a smartphone or tablet device.

[0941] How it works: The device sends the input data to the server, which stores it in a database.

[0942] Data processing and calculation: The server integrates the date of birth and personality classification information into a database for subsequent analysis.

[0943] Output: The saved data will be used as the basis for analyzing the subject's personality and behavioral characteristics.

[0944] Step 2: User enters question

[0945] Input: The user types questions about the situation at the site into the terminal.

[0946] Action: The device sends this question to the server.

[0947] Data processing and calculation: The server temporarily stores the query data from the user for analysis and prepares it for the necessary processing.

[0948] Output: The question data sent to the server becomes the basis for generating an appropriate response method.

[0949] Step 3: Emotion Recognition

[0950] Input: Facial expression and voice data when the user enters a question.

[0951] How it works: The device's built-in emotion recognition means uses the camera and microphone to analyze the user's facial expressions and voice in real time and identify their emotions.

[0952] Data processing and calculation: The emotion recognition engine analyzes facial expressions and voice data, generates identified emotion data, and sends it to the server.

[0953] Output: Emotion data is generated and sent to the server.

[0954] Step 4: Information analysis and response generation

[0955] Input: Stored date of birth and personality classification information, on-site situation question data, recognized emotion data.

[0956] Operation: The server analyzes the target person's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method that also takes into account the user's emotions.

[0957] Data processing and calculation: The server uses an AI model to comprehensively analyze each piece of data received and generate a response method.

[0958] Output: Data of the generated response methods is created.

[0959] Step 5: Send and display response instructions

[0960] Input: Generated response method data.

[0961] Operation: The server sends the generated response to the terminal, which displays it to the user.

[0962] Data processing and calculation: The generated response method is formatted and processed to be displayed visually or audibly, and presented using the terminal display and speaker.

[0963] Output: The user receives visual and / or audio instructions on how to respond.

[0964] Through these steps, security guards can receive appropriate on-site responses in real time, providing more effective security services.

[0965] 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.

[0966] 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.

[0967] 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.

[0968] [Third embodiment]

[0969] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0970] 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.

[0971] 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).

[0972] 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.

[0973] 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.

[0974] 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).

[0975] 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.

[0976] 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.

[0977] 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.

[0978] 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.

[0979] 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.

[0980] 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."

[0981] The present invention is a system for suggesting appropriate ways to respond to adolescents. This system allows parents and educators to communicate smoothly with adolescents by inputting, saving, and analyzing specific information and generating optimal responses based on the analysis results.

[0982] System Configuration

[0983] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[0984] Program processing overview

[0985] Enter and save information

[0986] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[0987] Examples:

[0988] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[0989] The terminal sends this information to the server, which stores it in a database.

[0990] User question input

[0991] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[0992] Examples:

[0993] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[0994] Information analysis and answer generation

[0995] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, and also references data on the real voices and behavioral patterns of adolescent children to generate the optimal answer.

[0996] Examples:

[0997] The server analyzes data about the INTP child and generates the answer, "Leave him alone for now. He'll do it when he feels he needs to."

[0998] Submitting and viewing answers

[0999] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[1000] Examples:

[1001] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[1002] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[1003] Implementation flow

[1004] The user first enters the child's information, then enters a question. All of this information is sent to the server and stored in a database. The server analyzes the stored information, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who can then use it to take appropriate action for their child.

[1005] This system provides practical support to parents and educators to facilitate smooth communication with adolescent children and respond appropriately.

[1006] The processing flow will be explained below.

[1007] Step 1:

[1008] The user uses the terminal to enter the child's date of birth and MBTI type.

[1009] Step 2:

[1010] The device sends the entered child's date of birth and MBTI type to the server.

[1011] Step 3:

[1012] The server stores the received child's date of birth and MBTI type in a database.

[1013] Step 4:

[1014] The user uses the terminal to enter specific questions about their adolescent child.

[1015] Step 5:

[1016] The terminal transmits the entered question and pre-stored information about the child to the server.

[1017] Step 6:

[1018] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[1019] Step 7:

[1020] Based on the information obtained from the child, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[1021] Step 8:

[1022] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[1023] Step 9:

[1024] The server generates the best answer to the user's question based on the extracted data.

[1025] Step 10:

[1026] The server transmits the generated optimal answer to the terminal.

[1027] Step 11:

[1028] The terminal receives the response from the server and displays it to the user.

[1029] Step 12:

[1030] The user checks the answer displayed on the terminal and takes appropriate action against the child based on the answer.

[1031] Example 1

[1032] 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."

[1033] There is a need to facilitate communication between adolescent children and their parents and educators, and to provide appropriate ways of dealing with children based on their personalities and behavioral characteristics.However, there is a problem in that there is limited information to understand children's personalities and behavioral characteristics, and limited means to obtain appropriate advice, making it difficult to deal with them effectively.

[1034] 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.

[1035] In this invention, the server includes: means for a user to input the child's date of birth and personality type; means for the server to store the input child's date of birth and personality type in a data storage device; means for the server to analyze the child's personality and behavioral characteristics from the perspective of personality psychology and personality analysis based on the child's date of birth and personality type stored in the data storage device; means for the server to receive questions from the user and generate optimal answers based on the analyzed data; and means for providing the generated answers to the user. This enables parents and educators to quickly obtain specific and appropriate ways of dealing with children based on their individual personality traits and behavioral patterns.

[1036] A "user" is a person who uses the system to input information about their child and receive appropriate advice, typically a parent or educator.

[1037] "Child's date of birth" refers to the date of birth of the child, and is important basic information for analysis.

[1038] "Personality type" refers to a type with characteristics classified from the perspective of personality psychology and personality analysis, and includes personality classifications such as MBTI.

[1039] A "server" is a computer system that receives, stores, analyzes, and generates responses to information.

[1040] "Data storage device" refers to a storage system for holding received data, typically a database.

[1041] "Analysis" is the process of processing information from the perspective of personality psychology and character analysis based on the data received, and deriving meaningful results.

[1042] An "answer" is an appropriate response to a user's question that the server generates based on the analysis results.

[1043] "Behavioral patterns" refer to a child's specific behavioral tendencies in specific situations, and analyzing these can provide more appropriate responses.

[1044] "Real voices" refers to data that includes real-life observations and personal accounts of growing children's behaviors and emotions.

[1045] MODE FOR CARRYING OUT THE INVENTION

[1046] The present invention is a system for suggesting appropriate ways to respond to adolescent children. This system consists of the following components, which cooperate to input, store, analyze, and generate answers for information.

[1047] System Configuration

[1048] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[1049] Enter and save information

[1050] The user enters the child's date of birth and personality type through a terminal. Specifically, the user uses an application or web form that provides a user interface (UI). The information entered by the user is converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives this information and stores it in a data storage device (e.g., a database such as MySQL or PostgreSQL).

[1051] Examples:

[1052] The user enters the child's date of birth (May 12, 2008) and personality type (INTP) into the terminal.

[1053] The device sends this information to the server as an HTTP POST request.

[1054] The server stores the received data in a data storage device.

[1055] User question input

[1056] Next, the user enters specific questions about their adolescent child into the device. These questions are also converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives the questions and stores them in a data storage device.

[1057] Examples:

[1058] The user types the question "Why don't you study?"

[1059] The device sends the question data to the server as an HTTP POST request.

[1060] The server stores the query data in a data storage device.

[1061] Information analysis and answer generation

[1062] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and character analysis, based on the child's date of birth and personality type stored in the data storage device. This analysis process also references data on the child's behavioral patterns and actual voice during their development. The server uses this information to generate optimal answers using a generative AI model.

[1063] Examples:

[1064] The server analyzes data about the personality type "INTP" and extracts corresponding behavioral characteristics.

[1065] The analysis results are input into a generative AI model, which generates the answer, "Leave it alone for now. I'll do it when I feel it needs to be done someday."

[1066] Submitting and viewing answers

[1067] The server sends the generated response to the terminal, which then displays the received response on a user interface so that the user can understand the appropriate response.

[1068] Examples:

[1069] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to." and sends it to the device.

[1070] The terminal displays the answer on the user interface.

[1071] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[1072] Prompt Sentence Examples

[1073] Prompt: "How can I address the issue of why my 14-year-old INTP child isn't studying?"

[1074] The present invention enables parents and educators to quickly acquire specific methods for smoothly communicating with adolescent children and responding appropriately.

[1075] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1076] Step 1: Enter your information

[1077] The user enters the child's date of birth and personality type on the device, which converts the information into JSON or XML format and then sends the converted information to the server as an HTTP POST request.

[1078] Specific behavior:

[1079] A user enters "May 12, 2008" and "INTP" into the app's input form.

[1080] The device converts this data into JSON format and generates an HTTP POST request.

[1081] The request is sent over the Internet to a server.

[1082] Input: Child's date of birth, personality type

[1083] Output: HTTP POST request to the server

[1084] Step 2: Save data

[1085] The server analyzes the received information and stores it in a data storage device (database). The stored data is mapped to appropriate fields.

[1086] Specific behavior:

[1087] The server receives the HTTP POST request and parses the payload.

[1088] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[1089] The database sends the saved results back to the server.

[1090] Input: HTTP POST request (child's date of birth, personality type)

[1091] Output: New entry in the database

[1092] Step 3: Enter your question

[1093] Users enter specific questions about their child into the device, which is converted to JSON or XML format and sent to the server as an HTTP POST request.

[1094] Specific behavior:

[1095] The user enters "Why don't you study?" into the app's question input form.

[1096] The device converts the question into JSON format and generates an HTTP POST request.

[1097] The request is sent over the Internet to a server.

[1098] Input: Question

[1099] Output: HTTP POST request to the server

[1100] Step 4: Save the question data

[1101] The server stores the received query data in a data storage device (database), and the query data is also mapped appropriately to fields.

[1102] Specific behavior:

[1103] The server receives an HTTP POST request containing the question data and parses the payload.

[1104] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[1105] The database sends the saved results back to the server.

[1106] Input: HTTP POST request (question)

[1107] Output: New entry in the database

[1108] Step 5: Information analysis

[1109] The server retrieves the child's date of birth and personality type from the database and analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and personality analysis.

[1110] Specific behavior:

[1111] The server runs an SQL query to retrieve the child's date of birth and personality type from the database.

[1112] The acquired information is loaded into internal memory and the analysis algorithm is executed.

[1113] Analysis results are saved to internal storage or memory.

[1114] Input: Child's date of birth and personality type retrieved from the database

[1115] Output: Analysis results

[1116] Step 6: Answer Generation

[1117] Based on the analysis results, the server uses a generative AI model to generate answers to the user's questions.

[1118] Specific behavior:

[1119] The server formats the analysis results as input for the generated AI model.

[1120] Provide input data along with prompts to the generative AI model.

[1121] The AI ​​model generates an answer and sends it back to the server.

[1122] Input: Analysis result, prompt statement

[1123] Output: The generated answer

[1124] Step 7: Submit your response

[1125] The server generates an answer and sends it to the device, where the answer is provided as an HTTP response.

[1126] Specific behavior:

[1127] The server includes the generated answer in the body of the HTTP response.

[1128] Generates an HTTP response and begins sending it to the device.

[1129] The device receives the response.

[1130] Input: Generated answer

[1131] Output: HTTP response to the device

[1132] Step 8: View Answers

[1133] The device displays the received response on the user interface, and the user checks the displayed response and decides on an appropriate response method.

[1134] Specific behavior:

[1135] The device analyzes the HTTP response and extracts the answer.

[1136] Bind the answers to UI components and display them on the screen.

[1137] User views answer.

[1138] Input: HTTP response from the server

[1139] Output: Display the answer to the user

[1140] (Application example 1)

[1141] 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."

[1142] Communicating with adolescent children is an extremely difficult task for parents and educators. Understanding each child's personality and behavioral characteristics and selecting appropriate responses requires a great deal of time and effort. Furthermore, conventional methods often fail to adequately reflect children's real voices and daily changing behavioral patterns, resulting in ineffective responses. Therefore, there is a strong need for a system that can solve these challenges.

[1143] 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.

[1144] In this invention, the server includes means for a user to input the child's date of birth and MBTI type, means for storing the input date of birth and MBTI type in a database, means for analyzing the child's personality and behavioral characteristics from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, means for receiving questions from the user and using a generative AI model based on the analyzed data to create prompts and generate optimal answers, means for providing the generated answers to the user, and an interface that parents and educators can easily use in the virtual store. This enables parents and educators to obtain optimal responses based on the personality of their adolescent children.

[1145] "Users" refers to parents and educators who use the system.

[1146] "Date of birth" refers to data indicating the year, month, and day a child was born.

[1147] "MBTI type" refers to the results of a personality classification based on the Myers-Briggs Type Indicator.

[1148] "Server" refers to a computer system that has the ability to receive, store, and analyze data from users.

[1149] "Database" refers to an information system for systematically storing input data such as children's birth dates and MBTI types.

[1150] "Personality psychology" refers to the branch of psychology that studies the personality and behavioral characteristics of individual people.

[1151] "Analysis" refers to the act of detecting specific patterns or characteristics based on input data and extracting meaningful information.

[1152] A "generative AI model" refers to an algorithm that uses AI technology to generate optimal answers from input data.

[1153] A "prompt sentence" refers to the input sentence given to a generative AI model, which serves as the basis for generating an answer.

[1154] "Virtual store" refers to a virtual sales or service location provided over the Internet.

[1155] "Interface" refers to the point of contact between humans and machines, including the screen and operating tools that users use to operate the system.

[1156] MODE FOR CARRYING OUT THE INVENTION

[1157] The present invention provides a system for supporting smooth communication with adolescent children. A specific embodiment will be described below using a user, a terminal, and a server.

[1158] 1. Hardware and Software Used

[1159] Hardware:

[1160] User devices: smartphones, tablets, computers

[1161] Server: A computer system responsible for analyzing data and generating responses.

[1162] software:

[1163] Database system: MySQL

[1164] Analysis engine: Django framework

[1165] Frontend: React Native

[1166] 2. Program Processing Overview

[1167] Entering and saving user information

[1168] Users enter their child's date of birth and MBTI type via a device such as a smartphone or tablet. The information is then sent from the device to a server, which stores it in a database.

[1169] Examples:

[1170] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[1171] The terminal sends this information to the server, which stores it in a database.

[1172] User question input

[1173] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1174] Examples:

[1175] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[1176] Information analysis and answer generation

[1177] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. It also references data based on the real voices and behavioral patterns of adolescent children, creates prompts using a generative AI model, and generates optimal answers.

[1178] Examples:

[1179] The server analyzes the data about the INTP child and generates the following prompt:

[1180] Child's MBTI Type: INTP

[1181] Child's date of birth: May 12, 2008

[1182] Q: Why don't you study?

[1183] answer:

[1184] The generated answer is "Leave it alone for now. I'll do it when I feel the need to."

[1185] Submitting and viewing answers

[1186] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[1187] Examples:

[1188] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[1189] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[1190] In this way, the present invention provides practical support to parents and educators to facilitate communication with adolescents and to respond appropriately.

[1191] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1192] Step 1:

[1193] The user enters the child's date of birth and MBTI type through a user interface (e.g., an app screen on a smartphone or tablet).

[1194] Input: Child's date of birth and MBTI type

[1195] Output: Terminal sends input data to the server

[1196] Step 2:

[1197] The device sends the entered child's date of birth and MBTI type to the server. The device then generates an HTTP request to send the data entered by the user and sends it to the server.

[1198] Input: Data entered by the user

[1199] Output: Date of birth and MBTI type sent to the server

[1200] Specific behavior: Generating an HTTP request and sending data

[1201] Step 3:

[1202] The server saves the child's date of birth and MBTI type in a database. The server analyzes the received data, converts it into an appropriate data format, and stores it in the database.

[1203] Input: Date of birth and MBTI type sent to the server

[1204] Output: Save to database

[1205] Specific operations: Data analysis, format conversion, and storage in a database

[1206] Step 4:

[1207] The user enters specific questions about their adolescent child through the device. The user enters the question on the app screen and presses the send button.

[1208] Input: Question

[1209] Output: Question data sent by the terminal to the server

[1210] Step 5:

[1211] The terminal sends the entered question to the server. The terminal generates an HTTP request to send the question data entered by the user and sends it to the server.

[1212] Input: User question data

[1213] Output: Question data sent to the server

[1214] Specific behavior: Generating an HTTP request and sending data

[1215] Step 6:

[1216] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. The server then applies a personality psychology algorithm to identify the child's behavioral characteristics.

[1217] Input: Child's date of birth and MBTI type

[1218] Output: Analysis of personality traits and behavioral patterns

[1219] Specific operations: Applying algorithms, data analysis

[1220] Step 7:

[1221] The server uses a generative AI model to create a prompt sentence and generate an optimal answer. The server supplies the analyzed data as input to a generative AI model (e.g., a Hugging Face model), which generates an appropriate prompt sentence and then generates an answer.

[1222] Input: Analysis results of personality traits and behavioral patterns, questions

[1223] Output: The prompt and the generated answer

[1224] Specific operations: Input to generative AI model, prompt generation, answer generation

[1225] Step 8:

[1226] The server sends the generated answer to the terminal. The server generates an HTTP response to send the generated answer to the terminal.

[1227] Input: Generated answer

[1228] Output: Sending the answer data to the terminal

[1229] Specific behavior: Generating an HTTP response and sending data

[1230] Step 9:

[1231] The terminal displays the received answer to the user, and the terminal updates the user interface to display the answer data received from the server.

[1232] Input: Response data sent from the server

[1233] Output: Displaying the answer in a user interface

[1234] Specific behavior: Update the user interface and display the answer

[1235] 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.

[1236] This invention is a system that suggests appropriate ways to interact with adolescent children, and is characterized by recognizing the user's emotions and providing answers and methods of interaction that take these into consideration. This system inputs, saves, and analyzes information such as the child's date of birth and MBTI type, and generates optimal answers to questions from the user. In addition, it recognizes the user's emotions and suggests appropriate ways of interaction that reflect these emotions, thereby helping parents and educators to communicate smoothly with adolescent children.

[1237] System Configuration

[1238] This system consists of a user, a terminal, a server, and an emotion engine. The users are parents and educators, and the terminals are devices such as smartphones, tablets, and computers. The server is a computer system responsible for storing information, analyzing it, and generating answers. The emotion engine is a module that recognizes the user's emotions and provides the results to the server.

[1239] Program processing overview

[1240] Enter and save information

[1241] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[1242] Examples:

[1243] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[1244] The terminal sends this information to the server, which stores it in a database.

[1245] User question input

[1246] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1247] Examples:

[1248] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[1249] emotion recognition

[1250] The device's built-in emotion engine then recognizes the user's emotions. The emotion engine analyzes voice, facial expressions, and other vital signs to determine the emotions the user is feeling. The recognized emotions are then sent to the server.

[1251] Examples:

[1252] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress or anger.

[1253] Information analysis and answer generation

[1254] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the user's emotional data and the questions they have sent. It also references data on the real voices and behavioral patterns of adolescent children to generate optimal answers that take the user's emotions into account.

[1255] Examples:

[1256] When the user asks the question "Why don't you study?", the server takes into account the emotions of stress and anger recognized by the emotion engine and generates an answer such as "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[1257] Submitting and viewing answers

[1258] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[1259] Examples:

[1260] The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the terminal, which then displays the response to the user.

[1261] Based on the displayed answer, the user takes a deep breath and then speaks gently to the child.

[1262] Implementation flow

[1263] The user first enters information about their child, then enters a question. All of this information is sent to the server and stored in a database. The emotion engine then recognizes the user's emotions, and this data is also sent to the server. The server analyzes the stored information and the recognized emotion data, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who then uses it to take appropriate action for their child.

[1264] This system provides practical support for parents and educators to facilitate smooth communication with their adolescent children and provide appropriate responses. By taking the user's emotions into consideration, more personalized responses are possible, which is expected to contribute to improving parent-child relationships.

[1265] The processing flow will be explained below.

[1266] Step 1:

[1267] The user uses the terminal to input the child's date of birth and MBTI type. For example, the user inputs the child's date of birth "May 12, 2008" and MBTI type "INTP."

[1268] Step 2:

[1269] The device sends the entered child's date of birth and MBTI type to the server.

[1270] Step 3:

[1271] The server stores the received child's date of birth and MBTI type in a database.

[1272] Step 4:

[1273] The user uses the terminal to input a specific question about the adolescent, for example, "Why don't you study?"

[1274] Step 5:

[1275] The terminal transmits the entered question and pre-stored information about the child to the server.

[1276] Step 6:

[1277] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[1278] Step 7:

[1279] The device's emotion engine recognizes the user's emotions. For example, it uses a camera and microphone to analyze facial expressions and voice when the user types a question, and recognizes emotions such as stress or anger.

[1280] Step 8:

[1281] The device transmits the recognized emotion data to the server.

[1282] Step 9:

[1283] Based on the acquired child information and the user's emotional data, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[1284] Step 10:

[1285] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[1286] Step 11:

[1287] The server takes into account the extracted data and the user's emotions to generate the most appropriate answer. For example, it generates an answer such as, "First, take a deep breath to calm down. Then, try speaking to your child gently."

[1288] Step 12:

[1289] The server transmits the generated optimal answer to the terminal.

[1290] Step 13:

[1291] The device receives the response from the server and displays it to the user, who then checks the response and takes appropriate action based on it, such as taking a deep breath and speaking to the child in a gentle voice.

[1292] In this way, the system takes into account the user's emotions and provides optimal ways of dealing with adolescents.

[1293] Example 2

[1294] 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."

[1295] There is a need to provide specific and accurate methods of response to support smooth communication between adolescent children and their parents and educators. However, conventional systems have difficulty in properly analyzing children's personalities and behavioral characteristics to generate optimal responses, and furthermore, they have problems in not being able to provide methods of response that take the user's emotions into consideration.

[1296] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1297] In this invention, the server includes: means for a user to input the birth date and psychological type of the child; means for storing the input birth date and psychological type of the child in a database; means for analyzing the personality and behavioral characteristics of the child from the perspective of individual psychology and psychological type based on the birth date and psychological type stored in the database; means for receiving a question from the user and generating an optimal answer based on the analyzed data; means for collecting voice and facial expression data from the user and recognizing emotions using an emotion recognition function installed in the terminal; means for generating an optimal answer by taking into account the recognized emotion data of the user, and means for providing the generated answer to the user. This enables individualized responses that take into account the user's emotions, thereby achieving smoother communication with adolescent children.

[1298] "User" refers to parents, educators, and others who use the system to find the best ways to interact with adolescents.

[1299] "Terminal" refers to a device, such as a smartphone, tablet, or computer, that a user uses to access the system and enter information.

[1300] "Server" refers to a computer system that stores information, analyzes it, generates responses, and handles data processing for the entire system.

[1301] "Date of birth" refers to information indicating the year, month, and day of a child's birth.

[1302] "Psychological type" refers to a category that classifies an individual's personality traits based on theories such as MBTI.

[1303] "Database" refers to a system or storage that efficiently stores and manages information.

[1304] "Individual psychology" refers to the field of psychology that studies and analyzes the personality and behavioral characteristics of individuals.

[1305] The "psychological type perspective" refers to a way of classifying individuals based on theories such as MBTI and understanding their personality and behavioral characteristics.

[1306] "Emotion recognition function" refers to technology that uses the device's built-in camera and microphone to analyze the user's emotions from their voice and facial expression data.

[1307] "Answer" refers to a system-generated response containing information or advice to a user's question.

[1308] "Behavioral characteristics" refer to characteristics that indicate an individual's behavioral patterns and reactions in specific situations.

[1309] "Adolescents" generally refer to children between the ages of 10 and 18.

[1310] The present invention is a system for supporting smooth communication with adolescent children, and in particular provides responses and methods of response that take into consideration the user's emotions. Hereinafter, an embodiment of the present invention will be described in detail.

[1311] System Configuration

[1312] This system consists of a user, a device, a server, and an emotion recognition engine. The users are parents or educators, and the devices are information terminals such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers. The emotion recognition engine is a module installed on the device that recognizes the user's emotions and provides the results to the server.

[1313] Program processing overview

[1314] Enter and save information

[1315] The user inputs the child's date of birth and psychological type (e.g., MBTI type) through the terminal. The input information is sent from the terminal to the server, which stores the information in a database. This stored information is used in subsequent analysis processes.

[1316] Example: A user enters their child's birth date (May 12, 2008) and psychological type (INTP) into a terminal, and the terminal sends this information to a server, which stores it in a database.

[1317] Enter a question

[1318] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1319] Example: A user types the question "Why don't you study?" and the device sends this question to a server.

[1320] emotion recognition

[1321] The device's built-in emotion recognition engine recognizes the user's emotions in real time. Specifically, it uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to analyze the user's voice and facial expressions while they are typing and identify their emotions. The recognized emotions are sent from the device to the server.

[1322] Example: Using the device's camera and microphone, the voice and facial expressions of the user while they are typing a question are analyzed to recognize emotions such as "stress" and "anger."

[1323] Information analysis and answer generation

[1324] The server analyzes the child's personality traits and behavioral patterns from the perspective of individual psychology and psychological types (e.g., MBTI) based on the submitted questions and the user's recognized emotional data. It then references a database of adolescent behavioral patterns and generates optimal answers based on the analysis results. Generative AI models (e.g., GPT-3) are used to generate answers.

[1325] Example: Based on the user's question "Why don't you study?" and the emotion of "stress" recognized by the emotion engine, the server generates the answer "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[1326] Submitting and viewing answers

[1327] The generated answer is sent from the server to the terminal, and the terminal displays it to the user, allowing the user to take appropriate action against the child based on the answer.

[1328] Example: The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the device. The device then displays the response to the user. The user then takes specific action based on the response displayed.

[1329] Example prompts for generative AI models

[1330] Here are some examples of prompts to input to a generative AI model:

[1331] "My 10-year-old child won't do any of his homework. How do I approach this with a child who has an INTP personality type? This user is feeling stressed."

[1332] By inputting this prompt into a generative AI model, the model generates appropriate advice and responses.

[1333] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1334] Step 1:

[1335] The user enters the child's date of birth and psychological type into the device. The entered information is immediately sent from the device to the server. Specifically, the user enters the child's date of birth (May 12, 2008) and psychological type (INTP), and the device sends this as an HTTP POST request in JSON format to the server. The server receives the request and inserts the information into the database.

[1336] Input: Child's date of birth "May 12, 2008" and psychological type "INTP"

[1337] Output: Date of birth and psychological type of the child stored in the database

[1338] Step 2:

[1339] The user inputs a specific question about their adolescent child into the device. For example, "Why don't you study?", and the device sends it to the server. The device sends the question data to the server as an HTTP POST request in JSON format, and the server receives the question data and stores it in a database.

[1340] Input: User question "Why don't you study?"

[1341] Output: User's question stored in the database

[1342] Step 3:

[1343] The device's emotion recognition function analyzes the user's voice and facial expressions in real time to recognize emotions. Emotion recognition uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to identify the user's emotion (e.g., "stress"). The recognized emotion data is sent from the device to a server.

[1344] Input: User's voice and facial expression data

[1345] Output: Recognized user emotion data (e.g., "stress")

[1346] Step 4:

[1347] The server performs an analysis based on the question received from the user, the recognized emotional data, and the child's date of birth and psychological type stored in the database. The server analyzes the child's personality traits and behavioral patterns based on individual psychology and psychological type, and creates a prompt for the generative AI model based on the analysis results. Example prompt: "I want to know why my 10-year-old INTP child isn't studying. The user is feeling stressed."

[1348] Input: User question, recognized emotion data, stored child's date of birth and psychological type

[1349] Output: Prompt sentence to the generative AI model

[1350] Step 5:

[1351] The server inputs the prompt into a generative AI model (e.g., GPT-3) to generate the optimal answer, which is then received by the server and sent to the device as an HTTP response.

[1352] Input: Prompt sentence for generative AI model

[1353] Output: Generated answer (e.g., "First, take a deep breath to calm down. Then, try speaking to your child in a gentle voice.")

[1354] Step 6:

[1355] The terminal displays the generated response received from the server to the user, who can then take actual corresponding action based on the displayed response.

[1356] Input: Generated answer from the server

[1357] Output: Answers displayed on the device, and actual actions taken by the user

[1358] The above is the specific flow of program processing in this system.

[1359] (Application example 2)

[1360] 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."

[1361] In today's security services, it is extremely important for security guards and security personnel to remain calm and respond appropriately to emergencies and sudden troubles. However, when responding to an emergency on-site, security guards can be influenced by their own emotions and take inappropriate measures. A system to improve this situation is needed.

[1362] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to input the subject's date of birth and personality classification information; means for the server to store the input subject's date of birth and personality classification information in a database; means for the server to analyze the subject's personality and behavioral characteristics from the perspective of personality psychology and personality classification based on the subject's date of birth and personality classification information stored in the database; emotion recognition means for recognizing the user's emotion and providing the emotion to the server; and means for the server to receive a question from the user, generate an optimal response based on the analyzed data and the recognized emotion, and provide the generated answer to the user. This enables the security guard to maintain his or her composure while receiving advice in real time to take the optimal response.

[1363] "User" refers to the security guards and other security personnel who use the system.

[1364] "Subjects" refers to the general public and specific protected persons at the security service site.

[1365] "Date of birth" is information indicating the year, month, and day on which the subject was born.

[1366] "Personality classification information" refers to information used to evaluate and classify a subject's personality and psychological characteristics.

[1367] "Server" refers to a computer system that stores and analyzes input data, and generates and provides necessary information.

[1368] "Database" refers to a data structure on a computer system for systematically storing and managing information.

[1369] "Personality psychology" refers to information from psychological research and theories about people's personality and behavioral characteristics, and is used to understand and evaluate personality.

[1370] "Emotion recognition means" refers to technology for identifying a user's emotional state by analyzing the user's facial expressions, voice, and other physiological data.

[1371] "Response methods" refer to specific procedures and methods for appropriately dealing with emergencies and problems.

[1372] "Real time" refers to the concept of time in which processing is performed immediately upon input and the results are returned to the user almost immediately.

[1373] This invention is a system for security guards and security personnel in security services to smoothly respond to situations on the ground. This system allows users (security guards) to input the target person's date of birth and personality classification information and receive the optimal response method in the event of an emergency or trouble.

[1374] System Configuration

[1375] This system consists of a user (security guard), a terminal, a server, and emotion recognition means. The user is a security guard or security officer, and the terminal is a device such as a smartphone or tablet. The server is a computer system that stores information, analyzes it, and generates responses. The emotion recognition means recognizes the user's emotions from their voice and facial expressions and provides that data to the server.

[1376] Program processing overview

[1377] Hardware and software used:

[1378] Hardware:

[1379] Smartphone or tablet (with camera and microphone)

[1380] software:

[1381] Emotion Recognition Engine

[1382] Text analysis engine (AI model)

[1383] Database management system (SQL database)

[1384] Communication module (wireless communication)

[1385] Enter and save information:

[1386] The user inputs the subject's date of birth and personality classification information into the device. This information is sent from the device to the server, which stores it in a database. This stored information is used in subsequent analysis processes.

[1387] Examples:

[1388] The user enters the personality classification information "May 12, 1990" and "ENFJ" into the terminal.

[1389] The terminal sends this information to the server, which stores it in a database.

[1390] User enters question:

[1391] The user enters specific questions about the situation on-site into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and generation of a response method.

[1392] Examples:

[1393] The user inputs the question "The crowd is chaotic" and the terminal sends this question to the server.

[1394] Emotion recognition:

[1395] The emotion recognition means installed in the device recognizes the user's emotions. The emotion recognition means analyzes the user's voice and facial expressions to identify the user's emotions. The recognized emotions are sent to the server.

[1396] Examples:

[1397] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress and tension.

[1398] Information analysis and response generation:

[1399] Based on the question and the recognized emotional data, the server analyzes the subject's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method.

[1400] Examples:

[1401] In response to the question "The crowd is in chaos," the server takes into consideration the emotion of stress recognized by the emotion recognition means and generates a response method such as "First, take a deep breath. Then, calmly guide the crowd and contact an emergency department."

[1402] Send and view responses:

[1403] The server sends the generated response method to the terminal, which then displays it to the user, who can then take appropriate action on the spot based on the response method.

[1404] Examples:

[1405] The server generates a response method, "First, take a deep breath. Then, calmly guide the crowd." and sends it to the terminal, which then displays the response method to the user.

[1406] Example prompt sentence:

[1407] Emotion recognition should analyze emotional data that indicates stress and suggest appropriate countermeasures that take this into consideration. The input situation is "The crowd being guided is beginning to become confused."

[1408] This allows the security guard to remain calm and handle the situation in the most appropriate way. This is a concrete example of the basic flow and functionality of the "Security Assistant Application."

[1409] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1410] Step 1: Enter and save information

[1411] Input: The user enters the subject's date of birth and personality classification information into a smartphone or tablet device.

[1412] How it works: The device sends the input data to the server, which stores it in a database.

[1413] Data processing and calculation: The server integrates the date of birth and personality classification information into a database for subsequent analysis.

[1414] Output: The saved data will be used as the basis for analyzing the subject's personality and behavioral characteristics.

[1415] Step 2: User enters question

[1416] Input: The user types questions about the situation at the site into the terminal.

[1417] Action: The device sends this question to the server.

[1418] Data processing and calculation: The server temporarily stores the query data from the user for analysis and prepares it for the necessary processing.

[1419] Output: The question data sent to the server becomes the basis for generating an appropriate response method.

[1420] Step 3: Emotion Recognition

[1421] Input: Facial expression and voice data when the user enters a question.

[1422] How it works: The device's built-in emotion recognition means uses the camera and microphone to analyze the user's facial expressions and voice in real time and identify their emotions.

[1423] Data processing and calculation: The emotion recognition engine analyzes facial expressions and voice data, generates identified emotion data, and sends it to the server.

[1424] Output: Emotion data is generated and sent to the server.

[1425] Step 4: Information analysis and response generation

[1426] Input: Stored date of birth and personality classification information, on-site situation question data, recognized emotion data.

[1427] Operation: The server analyzes the target person's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method that also takes into account the user's emotions.

[1428] Data processing and calculation: The server uses an AI model to comprehensively analyze each piece of data received and generate a response method.

[1429] Output: Data of the generated response methods is created.

[1430] Step 5: Send and display response instructions

[1431] Input: Generated response method data.

[1432] Operation: The server sends the generated response to the terminal, which displays it to the user.

[1433] Data processing and calculation: The generated response method is formatted and processed to be displayed visually or audibly, and presented using the terminal display and speaker.

[1434] Output: The user receives visual and / or audio instructions on how to respond.

[1435] Through these steps, security guards can receive appropriate on-site responses in real time, providing more effective security services.

[1436] 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.

[1437] 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.

[1438] 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.

[1439] [Fourth embodiment]

[1440] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1441] 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.

[1442] 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).

[1443] 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.

[1444] 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.

[1445] 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).

[1446] 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.

[1447] 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.

[1448] 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.

[1449] 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.

[1450] 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.

[1451] 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.

[1452] 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."

[1453] The present invention is a system for suggesting appropriate ways to respond to adolescents. This system allows parents and educators to communicate smoothly with adolescents by inputting, saving, and analyzing specific information and generating optimal responses based on the analysis results.

[1454] System Configuration

[1455] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[1456] Program processing overview

[1457] Enter and save information

[1458] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[1459] Examples:

[1460] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[1461] The terminal sends this information to the server, which stores it in a database.

[1462] User question input

[1463] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1464] Examples:

[1465] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[1466] Information analysis and answer generation

[1467] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, and also references data on the real voices and behavioral patterns of adolescent children to generate the optimal answer.

[1468] Examples:

[1469] The server analyzes data about the INTP child and generates the answer, "Leave him alone for now. He'll do it when he feels he needs to."

[1470] Submitting and viewing answers

[1471] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[1472] Examples:

[1473] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[1474] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[1475] Implementation flow

[1476] The user first enters the child's information, then enters a question. All of this information is sent to the server and stored in a database. The server analyzes the stored information, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who can then use it to take appropriate action for their child.

[1477] This system provides practical support to parents and educators to facilitate smooth communication with adolescent children and respond appropriately.

[1478] The processing flow will be explained below.

[1479] Step 1:

[1480] The user uses the terminal to enter the child's date of birth and MBTI type.

[1481] Step 2:

[1482] The device sends the entered child's date of birth and MBTI type to the server.

[1483] Step 3:

[1484] The server stores the received child's date of birth and MBTI type in a database.

[1485] Step 4:

[1486] The user uses the terminal to enter specific questions about their adolescent child.

[1487] Step 5:

[1488] The terminal transmits the entered question and pre-stored information about the child to the server.

[1489] Step 6:

[1490] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[1491] Step 7:

[1492] Based on the information obtained from the child, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[1493] Step 8:

[1494] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[1495] Step 9:

[1496] The server generates the best answer to the user's question based on the extracted data.

[1497] Step 10:

[1498] The server transmits the generated optimal answer to the terminal.

[1499] Step 11:

[1500] The terminal receives the response from the server and displays it to the user.

[1501] Step 12:

[1502] The user checks the answer displayed on the terminal and takes appropriate action against the child based on the answer.

[1503] Example 1

[1504] 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."

[1505] There is a need to facilitate communication between adolescent children and their parents and educators, and to provide appropriate ways of dealing with children based on their personalities and behavioral characteristics.However, there is a problem in that there is limited information to understand children's personalities and behavioral characteristics, and limited means to obtain appropriate advice, making it difficult to deal with them effectively.

[1506] 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.

[1507] In this invention, the server includes: means for a user to input the child's date of birth and personality type; means for the server to store the input child's date of birth and personality type in a data storage device; means for the server to analyze the child's personality and behavioral characteristics from the perspective of personality psychology and personality analysis based on the child's date of birth and personality type stored in the data storage device; means for the server to receive questions from the user and generate optimal answers based on the analyzed data; and means for providing the generated answers to the user. This enables parents and educators to quickly obtain specific and appropriate ways of dealing with children based on their individual personality traits and behavioral patterns.

[1508] A "user" is a person who uses the system to input information about their child and receive appropriate advice, typically a parent or educator.

[1509] "Child's date of birth" refers to the date of birth of the child, and is important basic information for analysis.

[1510] "Personality type" refers to a type with characteristics classified from the perspective of personality psychology and personality analysis, and includes personality classifications such as MBTI.

[1511] A "server" is a computer system that receives, stores, analyzes, and generates responses to information.

[1512] "Data storage device" refers to a storage system for holding received data, typically a database.

[1513] "Analysis" is the process of processing information from the perspective of personality psychology and character analysis based on the data received, and deriving meaningful results.

[1514] An "answer" is an appropriate response to a user's question that the server generates based on the analysis results.

[1515] "Behavioral patterns" refer to a child's specific behavioral tendencies in specific situations, and analyzing these can provide more appropriate responses.

[1516] "Real voices" refers to data that includes real-life observations and personal accounts of growing children's behaviors and emotions.

[1517] MODE FOR CARRYING OUT THE INVENTION

[1518] The present invention is a system for suggesting appropriate ways to respond to adolescent children. This system consists of the following components, which cooperate to input, store, analyze, and generate answers for information.

[1519] System Configuration

[1520] This system consists of users, terminals, and a server. Users are parents and educators, and terminals are devices such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers.

[1521] Enter and save information

[1522] The user enters the child's date of birth and personality type through a terminal. Specifically, the user uses an application or web form that provides a user interface (UI). The information entered by the user is converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives this information and stores it in a data storage device (e.g., a database such as MySQL or PostgreSQL).

[1523] Examples:

[1524] The user enters the child's date of birth (May 12, 2008) and personality type (INTP) into the terminal.

[1525] The device sends this information to the server as an HTTP POST request.

[1526] The server stores the received data in a data storage device.

[1527] User question input

[1528] Next, the user enters specific questions about their adolescent child into the device. These questions are also converted into JSON or XML format and sent to the server via an HTTP POST request. The server receives the questions and stores them in a data storage device.

[1529] Examples:

[1530] The user types the question "Why don't you study?"

[1531] The device sends the question data to the server as an HTTP POST request.

[1532] The server stores the query data in a data storage device.

[1533] Information analysis and answer generation

[1534] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and character analysis, based on the child's date of birth and personality type stored in the data storage device. This analysis process also references data on the child's behavioral patterns and actual voice during their development. The server uses this information to generate optimal answers using a generative AI model.

[1535] Examples:

[1536] The server analyzes data about the personality type "INTP" and extracts corresponding behavioral characteristics.

[1537] The analysis results are input into a generative AI model, which generates the answer, "Leave it alone for now. I'll do it when I feel it needs to be done someday."

[1538] Submitting and viewing answers

[1539] The server sends the generated response to the terminal, which then displays the received response on a user interface so that the user can understand the appropriate response.

[1540] Examples:

[1541] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to." and sends it to the device.

[1542] The terminal displays the answer on the user interface.

[1543] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[1544] Prompt Sentence Examples

[1545] Prompt: "How can I address the issue of why my 14-year-old INTP child isn't studying?"

[1546] The present invention enables parents and educators to quickly acquire specific methods for smoothly communicating with adolescent children and responding appropriately.

[1547] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1548] Step 1: Enter your information

[1549] The user enters the child's date of birth and personality type on the device, which converts the information into JSON or XML format and then sends the converted information to the server as an HTTP POST request.

[1550] Specific behavior:

[1551] A user enters "May 12, 2008" and "INTP" into the app's input form.

[1552] The device converts this data into JSON format and generates an HTTP POST request.

[1553] The request is sent over the Internet to a server.

[1554] Input: Child's date of birth, personality type

[1555] Output: HTTP POST request to the server

[1556] Step 2: Save data

[1557] The server analyzes the received information and stores it in a data storage device (database). The stored data is mapped to appropriate fields.

[1558] Specific behavior:

[1559] The server receives the HTTP POST request and parses the payload.

[1560] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[1561] The database sends the saved results back to the server.

[1562] Input: HTTP POST request (child's date of birth, personality type)

[1563] Output: New entry in the database

[1564] Step 3: Enter your question

[1565] Users enter specific questions about their child into the device, which is converted to JSON or XML format and sent to the server as an HTTP POST request.

[1566] Specific behavior:

[1567] The user enters "Why don't you study?" into the app's question input form.

[1568] The device converts the question into JSON format and generates an HTTP POST request.

[1569] The request is sent over the Internet to a server.

[1570] Input: Question

[1571] Output: HTTP POST request to the server

[1572] Step 4: Save the question data

[1573] The server stores the received query data in a data storage device (database), and the query data is also mapped appropriately to fields.

[1574] Specific behavior:

[1575] The server receives an HTTP POST request containing the question data and parses the payload.

[1576] The payload content is converted into an SQL query and inserted into the corresponding fields in the database.

[1577] The database sends the saved results back to the server.

[1578] Input: HTTP POST request (question)

[1579] Output: New entry in the database

[1580] Step 5: Information analysis

[1581] The server retrieves the child's date of birth and personality type from the database and analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and personality analysis.

[1582] Specific behavior:

[1583] The server runs an SQL query to retrieve the child's date of birth and personality type from the database.

[1584] The acquired information is loaded into internal memory and the analysis algorithm is executed.

[1585] Analysis results are saved to internal storage or memory.

[1586] Input: Child's date of birth and personality type retrieved from the database

[1587] Output: Analysis results

[1588] Step 6: Answer Generation

[1589] Based on the analysis results, the server uses a generative AI model to generate answers to the user's questions.

[1590] Specific behavior:

[1591] The server formats the analysis results as input for the generated AI model.

[1592] Provide input data along with prompts to the generative AI model.

[1593] The AI ​​model generates an answer and sends it back to the server.

[1594] Input: Analysis result, prompt statement

[1595] Output: The generated answer

[1596] Step 7: Submit your response

[1597] The server generates an answer and sends it to the device, where the answer is provided as an HTTP response.

[1598] Specific behavior:

[1599] The server includes the generated answer in the body of the HTTP response.

[1600] Generates an HTTP response and begins sending it to the device.

[1601] The device receives the response.

[1602] Input: Generated answer

[1603] Output: HTTP response to the device

[1604] Step 8: View Answers

[1605] The device displays the received response on the user interface, and the user checks the displayed response and decides on an appropriate response method.

[1606] Specific behavior:

[1607] The device analyzes the HTTP response and extracts the answer.

[1608] Bind the answers to UI components and display them on the screen.

[1609] User views answer.

[1610] Input: HTTP response from the server

[1611] Output: Display the answer to the user

[1612] (Application example 1)

[1613] 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."

[1614] Communicating with adolescent children is an extremely difficult task for parents and educators. Understanding each child's personality and behavioral characteristics and selecting appropriate responses requires a great deal of time and effort. Furthermore, conventional methods often fail to adequately reflect children's real voices and daily changing behavioral patterns, resulting in ineffective responses. Therefore, there is a strong need for a system that can solve these challenges.

[1615] 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.

[1616] In this invention, the server includes means for a user to input the child's date of birth and MBTI type, means for storing the input date of birth and MBTI type in a database, means for analyzing the child's personality and behavioral characteristics from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database, means for receiving questions from the user and using a generative AI model based on the analyzed data to create prompts and generate optimal answers, means for providing the generated answers to the user, and an interface that parents and educators can easily use in the virtual store. This enables parents and educators to obtain optimal responses based on the personality of their adolescent children.

[1617] "Users" refers to parents and educators who use the system.

[1618] "Date of birth" refers to data indicating the year, month, and day a child was born.

[1619] "MBTI type" refers to the results of a personality classification based on the Myers-Briggs Type Indicator.

[1620] "Server" refers to a computer system that has the ability to receive, store, and analyze data from users.

[1621] "Database" refers to an information system for systematically storing input data such as children's birth dates and MBTI types.

[1622] "Personality psychology" refers to the branch of psychology that studies the personality and behavioral characteristics of individual people.

[1623] "Analysis" refers to the act of detecting specific patterns or characteristics based on input data and extracting meaningful information.

[1624] A "generative AI model" refers to an algorithm that uses AI technology to generate optimal answers from input data.

[1625] A "prompt sentence" refers to the input sentence given to a generative AI model, which serves as the basis for generating an answer.

[1626] "Virtual store" refers to a virtual sales or service location provided over the Internet.

[1627] "Interface" refers to the point of contact between humans and machines, including the screen and operating tools that users use to operate the system.

[1628] MODE FOR CARRYING OUT THE INVENTION

[1629] The present invention provides a system for supporting smooth communication with adolescent children. A specific embodiment will be described below using a user, a terminal, and a server.

[1630] 1. Hardware and Software Used

[1631] Hardware:

[1632] User devices: smartphones, tablets, computers

[1633] Server: A computer system responsible for analyzing data and generating responses.

[1634] software:

[1635] Database system: MySQL

[1636] Analysis engine: Django framework

[1637] Frontend: React Native

[1638] 2. Program Processing Overview

[1639] Entering and saving user information

[1640] Users enter their child's date of birth and MBTI type via a device such as a smartphone or tablet. The information is then sent from the device to a server, which stores it in a database.

[1641] Examples:

[1642] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[1643] The terminal sends this information to the server, which stores it in a database.

[1644] User question input

[1645] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1646] Examples:

[1647] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[1648] Information analysis and answer generation

[1649] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. It also references data based on the real voices and behavioral patterns of adolescent children, creates prompts using a generative AI model, and generates optimal answers.

[1650] Examples:

[1651] The server analyzes the data about the INTP child and generates the following prompt:

[1652] Child's MBTI Type: INTP

[1653] Child's date of birth: May 12, 2008

[1654] Q: Why don't you study?

[1655] answer:

[1656] The generated answer is "Leave it alone for now. I'll do it when I feel the need to."

[1657] Submitting and viewing answers

[1658] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[1659] Examples:

[1660] The server generates a response, "Leave it alone for now. I'll do it when I feel the need to do it someday," and sends it to the terminal, which then displays the response to the user.

[1661] Based on the displayed answers, the user chooses to remain calm and leave the child alone.

[1662] In this way, the present invention provides practical support to parents and educators to facilitate communication with adolescents and to respond appropriately.

[1663] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1664] Step 1:

[1665] The user enters the child's date of birth and MBTI type through a user interface (e.g., an app screen on a smartphone or tablet).

[1666] Input: Child's date of birth and MBTI type

[1667] Output: Terminal sends input data to the server

[1668] Step 2:

[1669] The device sends the entered child's date of birth and MBTI type to the server. The device then generates an HTTP request to send the data entered by the user and sends it to the server.

[1670] Input: Data entered by the user

[1671] Output: Date of birth and MBTI type sent to the server

[1672] Specific behavior: Generating an HTTP request and sending data

[1673] Step 3:

[1674] The server saves the child's date of birth and MBTI type in a database. The server analyzes the received data, converts it into an appropriate data format, and stores it in the database.

[1675] Input: Date of birth and MBTI type sent to the server

[1676] Output: Save to database

[1677] Specific operations: Data analysis, format conversion, and storage in a database

[1678] Step 4:

[1679] The user enters specific questions about their adolescent child through the device. The user enters the question on the app screen and presses the send button.

[1680] Input: Question

[1681] Output: Question data sent by the terminal to the server

[1682] Step 5:

[1683] The terminal sends the entered question to the server. The terminal generates an HTTP request to send the question data entered by the user and sends it to the server.

[1684] Input: User question data

[1685] Output: Question data sent to the server

[1686] Specific behavior: Generating an HTTP request and sending data

[1687] Step 6:

[1688] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database. The server then applies a personality psychology algorithm to identify the child's behavioral characteristics.

[1689] Input: Child's date of birth and MBTI type

[1690] Output: Analysis of personality traits and behavioral patterns

[1691] Specific operations: Applying algorithms, data analysis

[1692] Step 7:

[1693] The server uses a generative AI model to create a prompt sentence and generate an optimal answer. The server supplies the analyzed data as input to a generative AI model (e.g., a Hugging Face model), which generates an appropriate prompt sentence and then generates an answer.

[1694] Input: Analysis results of personality traits and behavioral patterns, questions

[1695] Output: The prompt and the generated answer

[1696] Specific operations: Input to generative AI model, prompt generation, answer generation

[1697] Step 8:

[1698] The server sends the generated answer to the terminal. The server generates an HTTP response to send the generated answer to the terminal.

[1699] Input: Generated answer

[1700] Output: Sending the answer data to the terminal

[1701] Specific behavior: Generating an HTTP response and sending data

[1702] Step 9:

[1703] The terminal displays the received answer to the user, and the terminal updates the user interface to display the answer data received from the server.

[1704] Input: Response data sent from the server

[1705] Output: Displaying the answer in a user interface

[1706] Specific behavior: Update the user interface and display the answer

[1707] 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.

[1708] This invention is a system that suggests appropriate ways to interact with adolescent children, and is characterized by recognizing the user's emotions and providing answers and methods of interaction that take these into consideration. This system inputs, saves, and analyzes information such as the child's date of birth and MBTI type, and generates optimal answers to questions from the user. In addition, it recognizes the user's emotions and suggests appropriate ways of interaction that reflect these emotions, thereby helping parents and educators to communicate smoothly with adolescent children.

[1709] System Configuration

[1710] This system consists of a user, a terminal, a server, and an emotion engine. The users are parents and educators, and the terminals are devices such as smartphones, tablets, and computers. The server is a computer system responsible for storing information, analyzing it, and generating answers. The emotion engine is a module that recognizes the user's emotions and provides the results to the server.

[1711] Program processing overview

[1712] Enter and save information

[1713] The user inputs the child's date of birth and MBTI type through the device, which is then sent to the server, where it stores the information in a database for use in subsequent analysis processes.

[1714] Examples:

[1715] The user enters the child's date of birth (May 12, 2008) and MBTI type (INTP) into the terminal.

[1716] The terminal sends this information to the server, which stores it in a database.

[1717] User question input

[1718] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1719] Examples:

[1720] The user inputs the question "Why don't you study?" and the device sends this question to the server.

[1721] emotion recognition

[1722] The device's built-in emotion engine then recognizes the user's emotions. The emotion engine analyzes voice, facial expressions, and other vital signs to determine the emotions the user is feeling. The recognized emotions are then sent to the server.

[1723] Examples:

[1724] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress or anger.

[1725] Information analysis and answer generation

[1726] The server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI based on the user's emotional data and the questions they have sent. It also references data on the real voices and behavioral patterns of adolescent children to generate optimal answers that take the user's emotions into account.

[1727] Examples:

[1728] When the user asks the question "Why don't you study?", the server takes into account the emotions of stress and anger recognized by the emotion engine and generates an answer such as "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[1729] Submitting and viewing answers

[1730] The server sends the generated answer to the device, which displays it to the user, who can then take appropriate action against the child based on the answer.

[1731] Examples:

[1732] The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the terminal, which then displays the response to the user.

[1733] Based on the displayed answer, the user takes a deep breath and then speaks gently to the child.

[1734] Implementation flow

[1735] The user first enters information about their child, then enters a question. All of this information is sent to the server and stored in a database. The emotion engine then recognizes the user's emotions, and this data is also sent to the server. The server analyzes the stored information and the recognized emotion data, generates the optimal answer, and sends it to the device. The device displays the answer to the user, who then uses it to take appropriate action for their child.

[1736] This system provides practical support for parents and educators to facilitate smooth communication with their adolescent children and provide appropriate responses. By taking the user's emotions into consideration, more personalized responses are possible, which is expected to contribute to improving parent-child relationships.

[1737] The processing flow will be explained below.

[1738] Step 1:

[1739] The user uses the terminal to input the child's date of birth and MBTI type. For example, the user inputs the child's date of birth "May 12, 2008" and MBTI type "INTP."

[1740] Step 2:

[1741] The device sends the entered child's date of birth and MBTI type to the server.

[1742] Step 3:

[1743] The server stores the received child's date of birth and MBTI type in a database.

[1744] Step 4:

[1745] The user uses the terminal to input a specific question about the adolescent, for example, "Why don't you study?"

[1746] Step 5:

[1747] The terminal transmits the entered question and pre-stored information about the child to the server.

[1748] Step 6:

[1749] The server retrieves the received question and the child's stored date of birth and MBTI type from the database.

[1750] Step 7:

[1751] The device's emotion engine recognizes the user's emotions. For example, it uses a camera and microphone to analyze facial expressions and voice when the user types a question, and recognizes emotions such as stress or anger.

[1752] Step 8:

[1753] The device transmits the recognized emotion data to the server.

[1754] Step 9:

[1755] Based on the acquired child information and the user's emotional data, the server analyzes the child's personality traits and behavioral patterns from the perspective of personality psychology and MBTI.

[1756] Step 10:

[1757] Based on the analysis results, the server extracts data on the real voices and behavioral patterns of adolescent children from the database.

[1758] Step 11:

[1759] The server takes into account the extracted data and the user's emotions to generate the most appropriate answer. For example, it generates an answer such as, "First, take a deep breath to calm down. Then, try speaking to your child gently."

[1760] Step 12:

[1761] The server transmits the generated optimal answer to the terminal.

[1762] Step 13:

[1763] The device receives the response from the server and displays it to the user, who then checks the response and takes appropriate action based on it, such as taking a deep breath and speaking to the child in a gentle voice.

[1764] In this way, the system takes into account the user's emotions and provides optimal ways of dealing with adolescents.

[1765] Example 2

[1766] 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."

[1767] There is a need to provide specific and accurate methods of response to support smooth communication between adolescent children and their parents and educators. However, conventional systems have difficulty in properly analyzing children's personalities and behavioral characteristics to generate optimal responses, and furthermore, they have problems in not being able to provide methods of response that take the user's emotions into consideration.

[1768] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1769] In this invention, the server includes: means for a user to input the birth date and psychological type of the child; means for storing the input birth date and psychological type of the child in a database; means for analyzing the personality and behavioral characteristics of the child from the perspective of individual psychology and psychological type based on the birth date and psychological type stored in the database; means for receiving a question from the user and generating an optimal answer based on the analyzed data; means for collecting voice and facial expression data from the user and recognizing emotions using an emotion recognition function installed in the terminal; means for generating an optimal answer by taking into account the recognized emotion data of the user, and means for providing the generated answer to the user. This enables individualized responses that take into account the user's emotions, thereby achieving smoother communication with adolescent children.

[1770] "User" refers to parents, educators, and others who use the system to find the best ways to interact with adolescents.

[1771] "Terminal" refers to a device, such as a smartphone, tablet, or computer, that a user uses to access the system and enter information.

[1772] "Server" refers to a computer system that stores information, analyzes it, generates responses, and handles data processing for the entire system.

[1773] "Date of birth" refers to information indicating the year, month, and day of a child's birth.

[1774] "Psychological type" refers to a category that classifies an individual's personality traits based on theories such as MBTI.

[1775] "Database" refers to a system or storage that efficiently stores and manages information.

[1776] "Individual psychology" refers to the field of psychology that studies and analyzes the personality and behavioral characteristics of individuals.

[1777] The "psychological type perspective" refers to a way of classifying individuals based on theories such as MBTI and understanding their personality and behavioral characteristics.

[1778] "Emotion recognition function" refers to technology that uses the device's built-in camera and microphone to analyze the user's emotions from their voice and facial expression data.

[1779] "Answer" refers to a system-generated response containing information or advice to a user's question.

[1780] "Behavioral characteristics" refer to characteristics that indicate an individual's behavioral patterns and reactions in specific situations.

[1781] "Adolescents" generally refer to children between the ages of 10 and 18.

[1782] The present invention is a system for supporting smooth communication with adolescent children, and in particular provides responses and methods of response that take into consideration the user's emotions. Hereinafter, an embodiment of the present invention will be described in detail.

[1783] System Configuration

[1784] This system consists of a user, a device, a server, and an emotion recognition engine. The users are parents or educators, and the devices are information terminals such as smartphones, tablets, and computers. The server is a computer system that stores information, analyzes it, and generates answers. The emotion recognition engine is a module installed on the device that recognizes the user's emotions and provides the results to the server.

[1785] Program processing overview

[1786] Enter and save information

[1787] The user inputs the child's date of birth and psychological type (e.g., MBTI type) through the terminal. The input information is sent from the terminal to the server, which stores the information in a database. This stored information is used in subsequent analysis processes.

[1788] Example: A user enters their child's birth date (May 12, 2008) and psychological type (INTP) into a terminal, and the terminal sends this information to a server, which stores it in a database.

[1789] Enter a question

[1790] The user then types specific questions about their adolescent into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and answer generation.

[1791] Example: A user types the question "Why don't you study?" and the device sends this question to a server.

[1792] emotion recognition

[1793] The device's built-in emotion recognition engine recognizes the user's emotions in real time. Specifically, it uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to analyze the user's voice and facial expressions while they are typing and identify their emotions. The recognized emotions are sent from the device to the server.

[1794] Example: Using the device's camera and microphone, the voice and facial expressions of the user while they are typing a question are analyzed to recognize emotions such as "stress" and "anger."

[1795] Information analysis and answer generation

[1796] The server analyzes the child's personality traits and behavioral patterns from the perspective of individual psychology and psychological types (e.g., MBTI) based on the submitted questions and the user's recognized emotional data. It then references a database of adolescent behavioral patterns and generates optimal answers based on the analysis results. Generative AI models (e.g., GPT-3) are used to generate answers.

[1797] Example: Based on the user's question "Why don't you study?" and the emotion of "stress" recognized by the emotion engine, the server generates the answer "First, take a deep breath to calm down. Then, try speaking to your child kindly."

[1798] Submitting and viewing answers

[1799] The generated answer is sent from the server to the terminal, and the terminal displays it to the user, allowing the user to take appropriate action against the child based on the answer.

[1800] Example: The server generates a response, "First, take a deep breath to calm down. Then, try speaking to your child gently." and sends it to the device. The device then displays the response to the user. The user then takes specific action based on the response displayed.

[1801] Example prompts for generative AI models

[1802] Here are some examples of prompts to input to a generative AI model:

[1803] "My 10-year-old child won't do any of his homework. How do I approach this with a child who has an INTP personality type? This user is feeling stressed."

[1804] By inputting this prompt into a generative AI model, the model generates appropriate advice and responses.

[1805] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1806] Step 1:

[1807] The user enters the child's date of birth and psychological type into the device. The entered information is immediately sent from the device to the server. Specifically, the user enters the child's date of birth (May 12, 2008) and psychological type (INTP), and the device sends this as an HTTP POST request in JSON format to the server. The server receives the request and inserts the information into the database.

[1808] Input: Child's date of birth "May 12, 2008" and psychological type "INTP"

[1809] Output: Date of birth and psychological type of the child stored in the database

[1810] Step 2:

[1811] The user inputs a specific question about their adolescent child into the device. For example, "Why don't you study?", and the device sends it to the server. The device sends the question data to the server as an HTTP POST request in JSON format, and the server receives the question data and stores it in a database.

[1812] Input: User question "Why don't you study?"

[1813] Output: User's question stored in the database

[1814] Step 3:

[1815] The device's emotion recognition function analyzes the user's voice and facial expressions in real time to recognize emotions. Emotion recognition uses a speech recognition library (e.g., Google Cloud Speech-to-Text) or a facial recognition library (e.g., OpenCV) to identify the user's emotion (e.g., "stress"). The recognized emotion data is sent from the device to a server.

[1816] Input: User's voice and facial expression data

[1817] Output: Recognized user emotion data (e.g., "stress")

[1818] Step 4:

[1819] The server performs an analysis based on the question received from the user, the recognized emotional data, and the child's date of birth and psychological type stored in the database. The server analyzes the child's personality traits and behavioral patterns based on individual psychology and psychological type, and creates a prompt for the generative AI model based on the analysis results. Example prompt: "I want to know why my 10-year-old INTP child isn't studying. The user is feeling stressed."

[1820] Input: User question, recognized emotion data, stored child's date of birth and psychological type

[1821] Output: Prompt sentence to the generative AI model

[1822] Step 5:

[1823] The server inputs the prompt into a generative AI model (e.g., GPT-3) to generate the optimal answer, which is then received by the server and sent to the device as an HTTP response.

[1824] Input: Prompt sentence for generative AI model

[1825] Output: Generated answer (e.g., "First, take a deep breath to calm down. Then, try speaking to your child in a gentle voice.")

[1826] Step 6:

[1827] The terminal displays the generated response received from the server to the user, who can then take actual corresponding action based on the displayed response.

[1828] Input: Generated answer from the server

[1829] Output: Answers displayed on the device, and actual actions taken by the user

[1830] The above is the specific flow of program processing in this system.

[1831] (Application example 2)

[1832] 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."

[1833] In today's security services, it is extremely important for security guards and security personnel to remain calm and respond appropriately to emergencies and sudden troubles. However, when responding to an emergency on-site, security guards can be influenced by their own emotions and take inappropriate measures. A system to improve this situation is needed.

[1834] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to input the subject's date of birth and personality classification information; means for the server to store the input subject's date of birth and personality classification information in a database; means for the server to analyze the subject's personality and behavioral characteristics from the perspective of personality psychology and personality classification based on the subject's date of birth and personality classification information stored in the database; emotion recognition means for recognizing the user's emotion and providing the emotion to the server; and means for the server to receive a question from the user, generate an optimal response based on the analyzed data and the recognized emotion, and provide the generated answer to the user. This enables the security guard to maintain his or her composure while receiving advice in real time to take the optimal response.

[1835] "User" refers to the security guards and other security personnel who use the system.

[1836] "Subjects" refers to the general public and specific protected persons at the security service site.

[1837] "Date of birth" is information indicating the year, month, and day on which the subject was born.

[1838] "Personality classification information" refers to information used to evaluate and classify a subject's personality and psychological characteristics.

[1839] "Server" refers to a computer system that stores and analyzes input data, and generates and provides necessary information.

[1840] "Database" refers to a data structure on a computer system for systematically storing and managing information.

[1841] "Personality psychology" refers to information from psychological research and theories about people's personality and behavioral characteristics, and is used to understand and evaluate personality.

[1842] "Emotion recognition means" refers to technology for identifying a user's emotional state by analyzing the user's facial expressions, voice, and other physiological data.

[1843] "Response methods" refer to specific procedures and methods for appropriately dealing with emergencies and problems.

[1844] "Real time" refers to the concept of time in which processing is performed immediately upon input and the results are returned to the user almost immediately.

[1845] This invention is a system for security guards and security personnel in security services to smoothly respond to situations on the ground. This system allows users (security guards) to input the target person's date of birth and personality classification information and receive the optimal response method in the event of an emergency or trouble.

[1846] System Configuration

[1847] This system consists of a user (security guard), a terminal, a server, and emotion recognition means. The user is a security guard or security officer, and the terminal is a device such as a smartphone or tablet. The server is a computer system that stores information, analyzes it, and generates responses. The emotion recognition means recognizes the user's emotions from their voice and facial expressions and provides that data to the server.

[1848] Program processing overview

[1849] Hardware and software used:

[1850] Hardware:

[1851] Smartphone or tablet (with camera and microphone)

[1852] software:

[1853] Emotion Recognition Engine

[1854] Text analysis engine (AI model)

[1855] Database management system (SQL database)

[1856] Communication module (wireless communication)

[1857] Enter and save information:

[1858] The user inputs the subject's date of birth and personality classification information into the device. This information is sent from the device to the server, which stores it in a database. This stored information is used in subsequent analysis processes.

[1859] Examples:

[1860] The user enters the personality classification information "May 12, 1990" and "ENFJ" into the terminal.

[1861] The terminal sends this information to the server, which stores it in a database.

[1862] User enters question:

[1863] The user enters specific questions about the situation on-site into the device, which are also sent from the device to the server and serve as the basis for appropriate analysis and generation of a response method.

[1864] Examples:

[1865] The user inputs the question "The crowd is chaotic" and the terminal sends this question to the server.

[1866] Emotion recognition:

[1867] The emotion recognition means installed in the device recognizes the user's emotions. The emotion recognition means analyzes the user's voice and facial expressions to identify the user's emotions. The recognized emotions are sent to the server.

[1868] Examples:

[1869] Using the device's camera and microphone, the system analyzes the user's voice and facial expressions while they are typing a question, recognizing emotions such as stress and tension.

[1870] Information analysis and response generation:

[1871] Based on the question and the recognized emotional data, the server analyzes the subject's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method.

[1872] Examples:

[1873] In response to the question "The crowd is in chaos," the server takes into consideration the emotion of stress recognized by the emotion recognition means and generates a response method such as "First, take a deep breath. Then, calmly guide the crowd and contact an emergency department."

[1874] Send and view responses:

[1875] The server sends the generated response method to the terminal, which then displays it to the user, who can then take appropriate action on the spot based on the response method.

[1876] Examples:

[1877] The server generates a response method, "First, take a deep breath. Then, calmly guide the crowd." and sends it to the terminal, which then displays the response method to the user.

[1878] Example prompt sentence:

[1879] Emotion recognition should analyze emotional data that indicates stress and suggest appropriate countermeasures that take this into consideration. The input situation is "The crowd being guided is beginning to become confused."

[1880] This allows the security guard to remain calm and handle the situation in the most appropriate way. This is a concrete example of the basic flow and functionality of the "Security Assistant Application."

[1881] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1882] Step 1: Enter and save information

[1883] Input: The user enters the subject's date of birth and personality classification information into a smartphone or tablet device.

[1884] How it works: The device sends the input data to the server, which stores it in a database.

[1885] Data processing and calculation: The server integrates the date of birth and personality classification information into a database for subsequent analysis.

[1886] Output: The saved data will be used as the basis for analyzing the subject's personality and behavioral characteristics.

[1887] Step 2: User enters question

[1888] Input: The user types questions about the situation at the site into the terminal.

[1889] Action: The device sends this question to the server.

[1890] Data processing and calculation: The server temporarily stores the query data from the user for analysis and prepares it for the necessary processing.

[1891] Output: The question data sent to the server becomes the basis for generating an appropriate response method.

[1892] Step 3: Emotion Recognition

[1893] Input: Facial expression and voice data when the user enters a question.

[1894] How it works: The device's built-in emotion recognition means uses the camera and microphone to analyze the user's facial expressions and voice in real time and identify their emotions.

[1895] Data processing and calculation: The emotion recognition engine analyzes facial expressions and voice data, generates identified emotion data, and sends it to the server.

[1896] Output: Emotion data is generated and sent to the server.

[1897] Step 4: Information analysis and response generation

[1898] Input: Stored date of birth and personality classification information, on-site situation question data, recognized emotion data.

[1899] Operation: The server analyzes the target person's personality traits and behavioral patterns from the perspective of personality psychology and personality classification, and generates the optimal response method that also takes into account the user's emotions.

[1900] Data processing and calculation: The server uses an AI model to comprehensively analyze each piece of data received and generate a response method.

[1901] Output: Data of the generated response methods is created.

[1902] Step 5: Send and display response instructions

[1903] Input: Generated response method data.

[1904] Operation: The server sends the generated response to the terminal, which displays it to the user.

[1905] Data processing and calculation: The generated response method is formatted and processed to be displayed visually or audibly, and presented using the terminal display and speaker.

[1906] Output: The user receives visual and / or audio instructions on how to respond.

[1907] Through these steps, security guards can receive appropriate on-site responses in real time, providing more effective security services.

[1908] 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.

[1909] 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.

[1910] 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 robot 414.

[1911] 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.

[1912] 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.

[1913] 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.

[1914] 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).

[1915] 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.

[1916] 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."

[1917] 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.

[1918] 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).

[1919] 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.

[1920] 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.

[1921] 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.

[1922] 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.

[1923] 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.

[1924] 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.

[1925] 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.

[1926] 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.

[1927] 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.

[1928] 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.

[1929] The following is further disclosed regarding the above embodiment.

[1930] (Claim 1)

[1931] a means for a user to input a child's date of birth and MBTI type;

[1932] A means for storing the entered child's date of birth and MBTI type in a database by the server;

[1933] A server is used to analyze the personality and behavioral characteristics of children from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database;

[1934] A server receives a question from a user and generates an optimal answer based on the analyzed data;

[1935] The system includes a means for providing the generated answer to a user.

[1936] (Claim 2)

[1937] 10. The system of claim 1, wherein the server includes means for indicating an optimal response based on the analyzed data.

[1938] (Claim 3)

[1939] 2. The system of claim 1, wherein the server has a database of adolescent behavior patterns and realistic voices and includes means for generating answers based thereon.

[1940] "Example 1"

[1941] (Claim 1)

[1942] a means for the user to input the child's date of birth and personality type;

[1943] a means for storing the inputted birth date and personality type of the child in a data storage device by the server;

[1944] a means for analyzing the personality and behavioral characteristics of the child from the viewpoint of personality psychology and personality analysis based on the birth date and personality type of the child stored in the data storage device by the server;

[1945] A server receives a question from a user and generates an optimal answer based on the analyzed data;

[1946] The system includes a means for providing the generated answer to a user.

[1947] (Claim 2)

[1948] 10. The system of claim 1, wherein the server includes means for indicating an optimal response based on the analyzed data.

[1949] (Claim 3)

[1950] 10. The system of claim 1, wherein the server has a data repository relating to the behavioral patterns and actual voices of growing children and includes means for generating answers based thereon.

[1951] "Application Example 1"

[1952] (Claim 1)

[1953] a means for a user to input a child's date of birth and MBTI type;

[1954] A means for storing the entered child's date of birth and MBTI type in a database by the server;

[1955] A server is used to analyze the personality and behavioral characteristics of children from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database;

[1956] A means for receiving a question from a user by a server, creating a prompt sentence using a generative AI model based on the analyzed data, and generating an optimal answer;

[1957] The system includes a means for providing the generated answer to a user.

[1958] (Claim 2)

[1959] 10. The system of claim 1, including a parent / educator-friendly interface within the virtual store.

[1960] (Claim 3)

[1961] 2. The system of claim 1, wherein the server has a database of adolescent behavior patterns and realistic voices and includes means for generating answers based thereon.

[1962] "Example 2: Combining Emotion Engines"

[1963] (Claim 1)

[1964] a means for the user to input the child's date of birth and psychographic type;

[1965] means for storing the entered child's date of birth and psychological type in a database by the server;

[1966] A means for analyzing the personality and behavioral characteristics of a child from the viewpoint of individual psychology and psychological type based on the child's date of birth and psychological type stored in the database by the server;

[1967] A server receives a question from a user and generates an optimal answer based on the analyzed data;

[1968] A means for collecting voice and facial expression data from a user and recognizing emotions using an emotion recognition function installed in the device;

[1969] A means for generating an optimal answer by the server, taking into consideration the recognized emotion data of the user;

[1970] The system includes a means for providing the generated answer to a user.

[1971] (Claim 2)

[1972] 10. The system of claim 1, wherein the server includes means for suggesting an optimal response based on the analyzed data and the recognized emotion data.

[1973] (Claim 3)

[1974] 10. The system of claim 1, wherein the server has a database of adolescent behavior patterns and realistic voices and includes means for generating answers based thereon.

[1975] "Application example 2 when combining emotion engines"

[1976] (Claim 1)

[1977] A means for a user to input the subject's date of birth and personality classification information;

[1978] A means for storing the inputted date of birth and personality classification information of the subject in a database by the server;

[1979] A means for analyzing the personality and behavioral characteristics of the subject from the perspective of personality psychology and personality classification based on the subject's date of birth and personality classification information stored in the database by the server;

[1980] A server receives a question from a user and generates an optimal answer based on the analyzed data;

[1981] emotion recognition means for recognizing an emotion of a user and providing the emotion to a server;

[1982] The system includes a means for providing the generated answer to a user.

[1983] (Claim 2)

[1984] 2. The system of claim 1, wherein the server includes means for suggesting an optimal response based on the analyzed data and the recognized emotion.

[1985] (Claim 3)

[1986] 2. The system according to claim 1, wherein the server has a database of the subject's behavioral patterns and realistic voices, and includes means for generating answers based on this. [Explanation of symbols]

[1987] 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 means for a user to input a child's date of birth and MBTI type; A means for storing the entered child's date of birth and MBTI type in a database by the server; A server is used to analyze the personality and behavioral characteristics of children from the perspective of personality psychology and MBTI based on the child's date of birth and MBTI type stored in the database; A server receives a question from a user and generates an optimal answer based on the analyzed data; The system includes a means for providing the generated answer to a user.

2. 2. The system of claim 1, wherein the server includes means for indicating an optimal response based on the analyzed data.

3. 2. The system according to claim 1, wherein the server has a database of behavioral patterns and realistic voices of adolescent children and includes means for generating answers based thereon.

Images