System

Abstract

A system is provided.SOLUTION: A system comprising: input means for a user to enter an alphabet; means for retrieving from a database a simple word corresponding to the alphabet and a visual representation thereof; means for generating a two-choice question comprising a correct word-and-picture pair and a random word-and-picture pair; means for transmitting the generated question to the user's device; means for receiving the user's answer; means for determining whether the answer is correct or incorrect; and means for transmitting the result of the determination to the user's device.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] There is a lack of English learning materials for young children that allow parents, even those unfamiliar with English, to enjoyably and efficiently learn English vocabulary and its visual images together with their children. Furthermore, existing learning materials are expensive, and few are easily accessible. To address these issues, there is a need for an affordable, visually-based English learning system that can be enjoyed by both parents and children. [Means for solving the problem]

[0005] The present invention provides a system that includes an input means for a user to input alphabetic characters, a means for retrieving simple words corresponding to the alphabetic characters and their visual illustrations from a database, a means for generating multiple-choice questions by preparing correct word-and-illustration pairs and random word-and-illustration pairs, a means for transmitting the generated questions to the user's device, a means for receiving the user's answers and determining whether the answers are correct or incorrect, and a means for transmitting the determination results to the user's device. This allows users to visually learn English vocabulary, allowing parents and children to enjoy learning English together. Furthermore, because the system automatically generates questions and determines whether the answers are correct or incorrect, it can be used without any problems even if the parent is unfamiliar with English.

[0006] "User" refers to anyone using the system, particularly young children and their parents.

[0007] The "alphabet" refers to the 26-letter writing system from A to Z that forms the basis of the English language.

[0008] "Input means" refers to a device or method by which a user inputs alphabetic characters into the system.

[0009] A "database" refers to a collection of information in which alphabets and their corresponding words and visual diagrams are stored.

[0010] "Word" refers to an English vocabulary composed of combinations of letters of the alphabet.

[0011] A "visual illustration" refers to a picture or illustration that visually represents the meaning of a word.

[0012] A "pair" is a combination of one word and its corresponding visual picture.

[0013] "Multiple-choice questions" refer to questions that require participants to choose one of two options: a correct word-visual picture pair and a random word-visual picture pair.

[0014] "Means for generating" refers to a device or method for automatically generating multiple-choice questions.

[0015] "Device" refers to the hardware and software that allows a user to interface with the system.

[0016] "Answer" refers to the option chosen by the user for a multiple-choice question.

[0017] "Means for determining" refers to a device or method for evaluating whether a user's answer is correct.

[0018] "Transmitting means" refers to a device or method for transmitting information to another device or user.

[0019] A "correct answer" refers to when the user's answer to a multiple-choice question is correct.

[0020] An "incorrect answer" refers to a case where the user's answer to a multiple-choice question is incorrect. [Brief explanation of the drawings]

[0021] [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

[0022] 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.

[0023] First, the terms used in the following description will be explained.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 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.

[0032] 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).

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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."

[0042] The present invention relates to an English learning system for young children, designed to allow parents and children to learn English words and their visual images while having fun. The system includes an input means for a user to input alphabets, a means for retrieving corresponding words and visual images from a database, a means for generating and presenting multiple-choice questions, a means for evaluating the user's answers, and a means for notifying the user of the evaluation results.

[0043] Program processing

[0044] 1. The user enters the alphabet

[0045] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[0046] 2. Get the words and visual diagrams that correspond to the alphabet

[0047] Terminal: Send the entered alphabet "A" to the server.

[0048] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[0049] 3. Generate multiple choice questions

[0050] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[0051] Server: Randomly retrieve another word and visual image (e.g., "Banana") from the database and provide it as a second choice.

[0052] Server: Generate a multiple choice question like this:

[0053] Which of the following is an illustration of Apple?

[0054] 1. [Apple illustration]

[0055] 2. [Banana illustration]

[0056] 4. Send the generated questions to the user's device

[0057] Server: Sends the generated multiple-choice questions to the device.

[0058] 5. Display the question and have the user answer it

[0059] Terminal: Display the problem to the user:

[0060] Which of the following is an illustration of Apple?

[0061] 1. [Apple illustration]

[0062] 2. [Banana illustration]

[0063] User: For example, the user selects option 1 and clicks or taps.

[0064] 6. Send the user's choice to the server

[0065] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0066] 7. Evaluate the user's answer and notify them of the result

[0067] Server: Receives the user's choice and evaluates whether it is correct.

[0068] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[0069] Server: Sends the judgment result (correct answer) to the user's device.

[0070] Terminal: Show the user "Correct!"

[0071] Specific examples

[0072] If the user types the letter "B", the following happens:

[0073] 1. The user enters the alphabet

[0074] User: The user enters "B" into the input field on the terminal and clicks the send button.

[0075] 2. Get the words and visual diagrams that correspond to the alphabet

[0076] Terminal: Send the entered alphabet "B" to the server.

[0077] Server: Queries the database using the received alphabet "B" to retrieve the corresponding English word "Ball" and its visual diagram.

[0078] 3. Generate multiple choice questions

[0079] Server: Provide the correct word "Ball" and its visual diagram as the first choice.

[0080] Server: Randomly retrieve another word and visual image (e.g., "Cat") from the database and provide it as a second choice.

[0081] Server: Generate a multiple choice question like this:

[0082] Which of the following is an illustration of Ball?

[0083] 1. [Ball illustration]

[0084] 2. [Cat illustration]

[0085] 4. Send the generated questions to the user's device

[0086] Server: Sends the generated multiple-choice questions to the device.

[0087] 5. Display the question and have the user answer it

[0088] Terminal: Display the problem to the user:

[0089] Which of the following is an illustration of Ball?

[0090] 1. [Ball illustration]

[0091] 2. [Cat illustration]

[0092] User: Click or tap on option 1.

[0093] 6. Send the user's choice to the server

[0094] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0095] 7. Evaluate the user's answer and notify them of the result

[0096] Server: Receives the user's choice and evaluates whether it is correct.

[0097] Server: Option 1 is "Ball", so it is determined to be the correct answer.

[0098] Server: Sends the judgment result (correct answer) to the user's device.

[0099] Terminal: Show the user "Correct!"

[0100] In this way, the system according to the present invention allows users to intuitively learn English words and their visual images, and allows users to enjoy learning together with their families.

[0101] The processing flow will be explained below.

[0102] Step 1:

[0103] The user enters alphabets into the input field of the terminal and presses the send button.

[0104] Step 2:

[0105] The terminal sends the alphabet entered by the user to the server.

[0106] Step 3:

[0107] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0108] Step 4:

[0109] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[0110] Step 5:

[0111] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[0112] Step 6:

[0113] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0114] Step 7:

[0115] The server generates multiple choice questions and sends them to the terminal.

[0116] Step 8:

[0117] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0118] Step 9:

[0119] The user clicks or taps on an option. For example, they select option 1.

[0120] Step 10:

[0121] The device sends the user's selection (e.g., option 1) to the server.

[0122] Step 11:

[0123] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[0124] Step 12:

[0125] The server sends the judgment result (correct answer) to the terminal.

[0126] Step 13:

[0127] The device displays the received result to the user, for example, "That's right!"

[0128] This process allows users to learn English through the entire system, from entering the alphabet to checking the results.

[0129] Example 1

[0130] 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."

[0131] In English learning for young children, there is a lack of ways to learn words and their visual images in a fun way. Furthermore, there are few functions for tracking learning progress, making it difficult to provide efficient learning support.

[0132] 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.

[0133] In this invention, the server includes input means for a user to input alphabets, means for retrieving words corresponding to the alphabets and their visual illustrations from a database, means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions, means for transmitting the generated multiple-choice questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, means for randomly selecting correct word-illustration pairs according to the alphabets input by the user, and means for accumulating answer history and tracking the user's learning progress. This enables the user to visually learn the meanings of words while efficiently tracking their learning progress.

[0134] "Input means" refers to a device or software that allows a user to input alphabetic characters.

[0135] A "database" is an information system for storing and managing words and their visual representations.

[0136] A "word-picture pair" is a combination of a particular word and a picture that visually represents that word.

[0137] A multiple choice question is a question that requires you to choose one correct answer from two options.

[0138] "Transmission means" refers to a function for sending the generated multiple-choice questions and judgment results to the user's device.

[0139] The "determination means" is a function for evaluating whether the user's answer is correct or incorrect.

[0140] A "random selection method" is a function for randomly selecting one option from multiple options.

[0141] "Answer history" refers to a collection of records of past answers given by a user.

[0142] "Means for tracking learning progress" refers to functions for recording and analyzing a user's learning status and managing progress.

[0143] This invention is an English learning system for young children, and is implemented using the following hardware and software. The hardware used is a user's device (such as a PC, tablet, or smartphone) and a server. As for the software, a web browser and an interface scripting language (e.g., JavaScript (registered trademark)) are used for operation on the device, and a database management system (e.g., MySQL (registered trademark)) and server-side scripts (e.g., Python) are used on the server side.

[0144] An input field on the device is provided as an input means for the user to enter English alphabets. When the user enters an alphabet (e.g., "A") and clicks submit, the device sends this input to the server. The server queries a database based on the received alphabet and retrieves the corresponding word "Apple" and its visual illustration. The server uses this word-illustration pair to generate the first option, and then randomly extracts another word and illustration (e.g., "Banana") from the database to generate another option. This creates a multiple-choice question.

[0145] The generated multiple-choice questions are sent from the server to the device, which then displays the questions to the user. When the user selects an answer, the device sends that choice to the server. The server evaluates whether the user's choice is correct or incorrect and notifies the user's device of the result. The notification result is displayed on the device as a message saying "That's correct!" During this process, the server accumulates the user's answer history and has the ability to track their learning progress.

[0146] Here are some examples of prompts for generative AI models:

[0147] Generate a program that explains what happens when the user types the letter "A." Explain the steps below:

[0148] 1. The user enters the alphabet

[0149] 2. Get the words and visual diagrams that correspond to the alphabet

[0150] 3. Generate multiple choice questions

[0151] 4. Send the generated questions to the user's device

[0152] 5. Display the question and have the user answer it

[0153] 6. Send the user's choice to the server

[0154] 7. Evaluate the user's answer and notify them of the result

[0155] This system allows young children to intuitively learn words and their visual images, and allows parents and children to enjoy learning together.In addition, the system's answer history and learning progress tracking functions make it possible to efficiently progress through learning while checking the results of learning.

[0156] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0157] Step 1:

[0158] The user enters an alphabet

[0159] User: Enter an English alphabet (e.g., "A") into the input field on the terminal and click the send button.

[0160] Specific actions: Enter the alphabet using the keyboard and click the send button using the mouse or touch screen.

[0161] Input: Alphabet "A"

[0162] Output: A send event is triggered.

[0163] Step 2:

[0164] Get the words and visual diagrams that correspond to the alphabet

[0165] Terminal: Send the entered alphabet "A" to the server.

[0166] Specific actions: Pressing the Enter key or using a touchscreen to confirm input; forming and sending an HTTP request.

[0167] Input: Alphabet "A"

[0168] Output: HTTP requests containing the letter "A"

[0169] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[0170] Specific operation: Executes an SQL query against the MySQL database and retrieves the target records.

[0171] Input: HTTP request containing the letter "A"

[0172] Output: The word "Apple" and its visual diagram

[0173] Step 3:

[0174] Generate multiple choice questions

[0175] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[0176] What it does: Gets the image files associated with "Apple" and formats them as options.

[0177] Input: The word "Apple" and its visual illustration

[0178] Output: Generate option 1

[0179] Server: Randomly retrieve another word and picture from the database (e.g., "Banana") and provide it as the second option.

[0180] What it does: Executes a random SQL query to retrieve different records.

[0181] Input: Database

[0182] Output: The word "Banana" and its visual illustration

[0183] Server: Generate a multiple choice question like this:

[0184] Which of the following is an illustration of Apple?

[0185] 1. [Apple illustration]

[0186] 2. [Banana illustration]

[0187] Specific behavior: Generates a question in HTML format.

[0188] Input: Choice 1 and Choice 2

[0189] Output: Multiple choice text

[0190] Step 4:

[0191] Send the generated questions to the user's device

[0192] Server: Sends the generated multiple-choice questions to the user's device.

[0193] Specific operation: Forms an HTTP response and sends it back to the device.

[0194] Input: Multiple choice text

[0195] Output: HTTP response

[0196] Step 5:

[0197] Display the question and have the user answer it

[0198] Terminal: Display the problem to the user:

[0199] Which of the following is an illustration of Apple?

[0200] 1. [Apple illustration]

[0201] 2. [Banana illustration]

[0202] What it does: Use a browser to view the issue in HTML / CSS.

[0203] Input: HTTP response containing text in multiple choice format

[0204] Output: Browser screen display

[0205] User: Click or tap on option 1.

[0206] Specific action: Select an option using a mouse click or touch screen.

[0207] Input: Click or tap action

[0208] Output: Selection data

[0209] Step 6:

[0210] Send the user's selection to the server

[0211] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0212] Specific behavior: Forms an HTTP request and sends the selected data.

[0213] Input: Selection data

[0214] Output: HTTP request containing the selection data

[0215] Step 7:

[0216] Evaluate the user's answer and notify them of the result

[0217] Server: Evaluates the user's choice and determines whether it is correct.

[0218] Specific operation: Compare the received selection data with the correct answer data and evaluate.

[0219] Input: Selection data

[0220] Output: Evaluation result

[0221] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[0222] Specific operation: Determine whether the correct answer conditions are met.

[0223] Input: Selection data

[0224] Output: Correct flag

[0225] Server: Sends the judgment result (correct answer) to the user's device.

[0226] Specific operation: Create an HTTP response containing the judgment result and return it to the terminal.

[0227] Input: Correct flag

[0228] Output: HTTP response containing the verdict

[0229] Terminal: Show the user "Correct!"

[0230] Specific behavior: Display a message in the browser.

[0231] Input: HTTP response containing the judgment result

[0232] Output: Screen displays "Correct!"

[0233] (Application example 1)

[0234] 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."

[0235] Previous English learning systems for young children were primarily used at home, which limited the scope of learning. They also lacked interactive elements that allowed young children to actively participate in the learning environment, making it difficult to maintain their interest. Furthermore, there was a lack of learning opportunities linked to specific activities, creating a need for a means to provide English learning experiences in real-life environments.

[0236] 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.

[0237] In this invention, the server includes a reading means for a user to scan a QR code (registered trademark), a means for querying corresponding words and visual images based on the alphabet obtained from the read QR code, and a user interface means for displaying quizzes, allowing users to generate questions using QR codes installed at specific locations in the store and learn English vocabulary in a realistic environment.

[0238] A "user" is a person who uses the system to study English.

[0239] "Alphabet" refers to the English alphabet, including the 26 letters A through Z.

[0240] "Input means" refers to an interface through which a user inputs alphabets, and includes a keyboard and a touch screen.

[0241] A "database" is an information storage that stores words and visual diagrams that correspond to the alphabet.

[0242] To "query" means to search and retrieve specific information from a database.

[0243] The "means for generating multiple-choice questions" is a function that creates questions with two options using the correct word-picture pair and another random word-picture pair.

[0244] "Transmitting means" is a function for transmitting generated questions and assessment results to the user's device.

[0245] A "QR code" is a two-dimensional barcode for encoding information.

[0246] "Reading means" refers to a device or function for scanning QR codes, including a smartphone camera.

[0247] A "user interface" is a screen or operating means by which a user interacts with a system.

[0248] "Specific location within the store" refers to an area within the physical retail facility that is associated with a particular product or category.

[0249] The "means for determining the answer" is a function for determining whether the answer selected by the user is correct or incorrect.

[0250] "Storing history" means recording the user's past answers and learning progress.

[0251] "Means for tracking progress" is a function for tracking and evaluating a user's learning progress.

[0252] This invention is a system for children to learn English together with their parents in a brick-and-mortar store, where users can answer English vocabulary quizzes by scanning QR codes installed in specific locations within the store. A specific embodiment of this system will be described below.

[0253] Hardware and software used

[0254] Hardware

[0255] Smartphone: A device used to scan the QR code and view the quiz.

[0256] QR Code: A means of encoding information placed at specific locations within a store.

[0257] software

[0258] QR code library (e.g. ZXing): A library for decoding QR codes using a smartphone camera.

[0259] Server (e.g. Firebase): A server for storing the words corresponding to the alphabet and their visual diagrams.

[0260] Database (e.g. Firestore): A database for storing word data and image data.

[0261] UI framework (e.g., Flutter®): A framework for building user interfaces.

[0262] System processing description

[0263] Scanning the QR code

[0264] A user uses the camera function of their smartphone to scan a QR code installed in a store. The QR code is decoded using the smartphone's QR code library (e.g., ZXing) to obtain specific alphabetic information.

[0265] Database queries and word retrieval

[0266] The acquired alphabet information is sent from the smartphone to a server (e.g., Firebase), which then queries a database (e.g., Firestore) based on the received alphabet information to obtain the corresponding English words and their visual diagrams.

[0267] Generate multiple choice quizzes

[0268] The server generates a multiple-choice quiz based on the correct English word and visual image obtained. The other option is a randomly selected word and image from the database. For example, it could prepare "Teddy Bear" and a randomly selected image of "Toy."

[0269] View Quiz

[0270] The generated multiple-choice quiz is sent from the server to the smartphone and displayed to the user through a user interface (for example, built with Flutter). The user selects the correct answer from the displayed options and submits the answer.

[0271] Answer evaluation and feedback

[0272] The user's answer is sent to the server, which determines whether it is correct or incorrect. If it is determined to be correct, the server generates a feedback message saying "That's correct!" and sends it to the smartphone. The user interface displays this feedback message to the user.

[0273] Examples and prompts

[0274] Specific examples

[0275] For example, if a user scans a QR code for a stuffed animal section, the QR code will encode a "T" and the system will retrieve the word "Teddy Bear" and a visual image. It will also retrieve the random word "Toy" and its image and generate the following multiple-choice question:

[0276] "Which of these is an illustration of Teddy Bear?"

[0277] 1. [Teddy Bear illustration]

[0278] 2. [Toy illustration]

[0279] If the user selects "Teddy Bear illustration," the server determines that it is the correct answer and provides feedback saying, "That's right!"

[0280] Prompt Sentence Examples

[0281] python

[0282] def prompt_for_english_quiz(qr_code_data):

[0283] """

[0284] A function that generates English vocabulary quizzes based on data read from QR codes

[0285] """

[0286] Get the alphabet from a QR code

[0287] alphabet = decode_qr_code(qr_code_data)

[0288] Send the alphabet to the server and get related English words and pictures

[0289] correct_word, correct_image, random_word, random_image = query_server_for_quiz(alphabet)

[0290] Generate multiple choice questions

[0291] quiz_question = f"Which of the following is an illustration of {correct_word}?"

[0292] options = [

[0293] {"word": correct_word, "image": correct_image},

[0294] {"word": random_word, "image": random_image}

[0295] ]

[0296] Present the problem to the user

[0297] display_quiz(quiz_question, options)

[0298] Get the answer

[0299] user_answer = get_user_answer()

[0300] Send your answers to the server for evaluation

[0301] result = evaluate_answer(user_answer, correct_word)

[0302] Notification of results

[0303] provide_feedback(result)

[0304] In this way, the system provides an environment where parents and children can have fun learning English vocabulary in a physical store.

[0305] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0306] Step 1:

[0307] A user uses the camera on their smartphone to scan a QR code installed in a store. The input is the QR code image, and the output is the decoded alphabetic information. This decoding process is performed using the smartphone's QR code library (e.g., ZXing).

[0308] Step 2:

[0309] The terminal sends the decoded alphabet information to the server. The input is the alphabet information (e.g., "T"), and the server receives this information and proceeds to the next step.

[0310] Step 3:

[0311] Based on the received alphabet information, the server queries a database (e.g., Firestore) to retrieve the corresponding English word and its visual illustration. The input is alphabet information, and the output is the URL of the English word (e.g., "Teddy Bear") and its visual illustration.

[0312] Step 4:

[0313] The server simultaneously randomly retrieves another English word and its visual illustration from the database. The input is the trigger for random selection, and the output is the URL of a random English word (e.g., "Toy") and its visual illustration.

[0314] Step 5:

[0315] The server generates a multiple-choice quiz using the correct word and picture, as well as another randomly chosen word and picture. The input is two English words and the URL of their respective pictures, and the output is in the form of a quiz (e.g., "Which of the following is an illustration of Teddy Bear? 1. [Illustration of Teddy Bear] 2. [Illustration of Toy]").

[0316] Step 6:

[0317] The server generates a multiple-choice quiz and sends it to the device. The input is quiz-format data, and the output is the quiz screen displayed on the smartphone.

[0318] Step 7:

[0319] The user selects the correct answer from the displayed quiz and submits the answer. The input is the user's choice (e.g., option 1) and is sent from the device to the server.

[0320] Step 8:

[0321] The server receives the user's answer and determines whether it is correct or incorrect. The input is the user's answer, and the output is the result of the determination (e.g., correct answer).

[0322] Step 9:

[0323] The server sends the result of the judgment to the terminal and generates a feedback message. The input is the judgment result, and the output is the feedback message (e.g., "Correct!").

[0324] Step 10:

[0325] The terminal displays the received feedback message to the user. The input is the feedback message, and the output is the message displayed on the screen.

[0326] 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.

[0327] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[0328] The system includes the following elements:

[0329] 1. Input Method

[0330] The user enters alphabets into the input field of the terminal and presses the send button.

[0331] 2. A means of retrieving the corresponding words and visual diagrams from the database

[0332] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0333] 3. Methods for generating multiple-choice questions

[0334] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[0335] The server generates multiple choice questions and sends them to the user's device.

[0336] 4. Means for sending generated questions to the user's device

[0337] The terminal displays the received multiple-choice questions to the user.

[0338] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[0339] The server receives the user's answer and determines whether it is correct or incorrect.

[0340] The determination result is sent to the user's device.

[0341] 6. Emotion engine that recognizes user emotions

[0342] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[0343] Adjust learning content and feedback based on emotional assessment results.

[0344] Program processing

[0345] The specific processing of the system is explained in natural language below:

[0346] 1. The user enters the alphabet

[0347] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[0348] 2. Get the words and visual diagrams that correspond to the alphabet

[0349] Terminal: Send the entered alphabet "A" to the server.

[0350] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[0351] 3. Generate multiple choice questions

[0352] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[0353] Server: Randomly select another word and picture from the database and provide it as a second choice. For example, prepare "Banana" and its illustration.

[0354] Server: Generate a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]".

[0355] 4. Send the generated questions to the user's device

[0356] Server: Sends the generated multiple-choice questions to the device.

[0357] 5. Display the question and have the user answer it

[0358] Device: Show the user the following question: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0359] User: For example, the user selects option 1 and clicks or taps.

[0360] 6. Send the user's choice to the server

[0361] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0362] 7. Evaluate the user's answer and notify them of the result

[0363] Server: Receives the user's choice and evaluates whether it is correct. Since option 1 is "Apple," it is determined to be the correct answer.

[0364] Server: Sends the judgment result (correct answer) to the user's device.

[0365] Terminal: Show the user "Correct!"

[0366] Examples of emotion engines

[0367] 1. Emotion recognition

[0368] Device: When the user answers a multiple-choice question, a camera captures the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions.

[0369] 2. Emotional assessment

[0370] Server: The emotion engine evaluates the user's emotional state (e.g., joy, interest, confusion, etc.).

[0371] 3. Adjusting learning content

[0372] Server: Based on the emotion evaluation results, if the user's emotional state is good, the next question will be made slightly more difficult. Conversely, if the user is confused, the question will be made easier or additional explanations will be displayed.

[0373] 4. Providing Feedback

[0374] Server: Sends specific feedback messages to the device based on the emotion evaluation results, such as "That was fun! Let's try harder next time!"

[0375] In this way, incorporating an emotional engine can provide a flexible learning experience that adapts to the user's emotional state, making English learning more effective and enjoyable.

[0376] The processing flow will be explained below.

[0377] Step 1:

[0378] The user enters alphabets into the input field of the terminal and presses the send button.

[0379] Step 2:

[0380] The terminal sends the alphabet entered by the user to the server.

[0381] Step 3:

[0382] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0383] Step 4:

[0384] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[0385] Step 5:

[0386] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[0387] Step 6:

[0388] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0389] Step 7:

[0390] The server generates multiple choice questions and sends them to the terminal.

[0391] Step 8:

[0392] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0393] Step 9:

[0394] The user clicks or taps on an option. For example, they select option 1.

[0395] Step 10:

[0396] The device sends the user's selection (e.g., option 1) to the server.

[0397] Step 11:

[0398] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[0399] Step 12:

[0400] The server sends the judgment result (correct answer) to the terminal.

[0401] Step 13:

[0402] The device displays the received result to the user, for example, "That's right!"

[0403] Step 14:

[0404] The device captures the user's facial expression with a camera and sends the image data to a server.

[0405] Step 15:

[0406] The server uses an emotion engine to analyze the transmitted image data and evaluate the user's emotional state. For example, the emotion engine detects "joy" from the user's facial expression.

[0407] Step 16:

[0408] The server adjusts the learning content based on the emotion evaluation results. For example, if the user is in a "happy" state, the next question will be made a little more difficult.

[0409] Step 17:

[0410] The server generates the next adjusted problem and sends it to the terminal.

[0411] Step 18:

[0412] The device then displays the next question to the user. By repeating this process, a flexible learning environment can be provided that adapts to the user's emotional state.

[0413] Example 2

[0414] 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."

[0415] In English learning systems for young children, the challenge is to provide a more effective and enjoyable learning environment by adjusting the learning experience according to the user's emotional state, rather than simply presenting learning content. In particular, it is necessary to properly determine when the user loses interest in learning or becomes confused, and provide appropriate feedback and support.

[0416] 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.

[0417] In this invention, the server includes input means for a user to input alphabets, means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database, means for generating multiple-choice questions by preparing correct word-and-illustration pairs and random word-and-illustration pairs, means for transmitting the generated questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, emotion recognition means for analyzing the user's facial expressions with a camera and evaluating the user's emotional state, means for adjusting the difficulty of the next question based on the emotion evaluation result, and means for generating a feedback message based on the emotion evaluation result and transmitting it to the user's device. This makes it possible to adjust the learning content and feedback according to the user's emotional state.

[0418] "Input means" refers to an interface device that a user uses to input alphabetic characters.

[0419] A "database" refers to an information storage device that stores information such as words corresponding to the alphabet or visual diagrams.

[0420] A "query" refers to an inquiry to obtain specific information from a database.

[0421] A "multiple choice question" refers to a question format in which the user must select the correct answer from two options.

[0422] "User device" refers to an electronic device, such as a computer or tablet, that a user uses to access the system.

[0423] "Emotion recognition means" refers to an analysis device or software for analyzing a user's facial expressions and assessing their emotional state.

[0424] The "emotion evaluation result" is a result that is analyzed by the emotion recognition means and indicates the user's current emotional state (joy, interest, confusion, etc.).

[0425] A "feedback message" refers to a response message generated based on the user's behavior and emotional evaluation results.

[0426] "Study progress tracking means" refers to a device or software that accumulates a user's learning history and tracks the user's progress.

[0427] "Determination means" refers to the mechanism or algorithm used to determine whether a user's answer is correct or incorrect.

[0428] "Question generation means" refers to a device or software that generates multiple-choice questions by providing correct word-picture pairs and random word-picture pairs.

[0429] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[0430] The system includes the following elements:

[0431] 1. Input Method

[0432] The user enters alphabets into the input field of the terminal and presses the send button.

[0433] 2. A means of retrieving the corresponding words and visual diagrams from the database

[0434] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0435] 3. Methods for generating multiple-choice questions

[0436] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[0437] The server generates multiple choice questions and sends them to the user's device.

[0438] 4. Means for sending generated questions to the user's device

[0439] The terminal displays the received multiple-choice questions to the user.

[0440] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[0441] The server receives the user's answer and determines whether it is correct or incorrect.

[0442] The determination result is sent to the user's device.

[0443] 6. Emotion engine that recognizes user emotions

[0444] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[0445] Adjust learning content and feedback based on emotional assessment results.

[0446] Specifically, the user inputs the letter "A" and the device sends the input to the server. The server queries the database and retrieves "Apple" and its illustration. The server then randomly selects another word and illustration (e.g., "Banana") and generates a multiple-choice question. The question is presented to the user: "Which of the following is an illustration of an Apple?"

[0447] When the user clicks the correct option, the device sends the selection to the server, which determines whether the selection is correct or incorrect. If the selection is correct, the server sends feedback to the device saying "That's right!"

[0448] Furthermore, the emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. Based on this evaluation result, the server adjusts the difficulty of the next question or changes the feedback message. For example, if the user is confused, the server may simplify the next question or provide additional explanation.

[0449] Examples of concrete examples and prompts

[0450] Specific examples

[0451] If the user enters the letter "B":

[0452] The user enters the letter "B" into the input field of the terminal and clicks the send button.

[0453] The device sends the alphabet "B" to the server.

[0454] The server retrieves "Banana" and its illustration corresponding to "B."

[0455] The server randomly selects "Cat" and its illustration and generates a multiple-choice question.

[0456] The question presented to the user is, "Which of the following is an illustration of a banana?"

[0457] If the user selects the correct option, the device displays the message "Correct!"

[0458] Prompt Sentence Examples

[0459] "Users input an alphabet, generate multiple choice questions, and rate their answers. Use an emotion engine to assess the user's emotional state and provide feedback based on that."

[0460] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0461] Step 1:

[0462] User: The user types English alphabets into the input field of the terminal and clicks the send button.

[0463] Input: User's alphabetic input (e.g. "A")

[0464] Output: The alphabet sent to the terminal (e.g. "A")

[0465] Step 2:

[0466] Terminal: Sends the input alphabet to the server.

[0467] Input: The alphabet entered by the user (e.g. "A")

[0468] Output: The alphabet sent to the server (e.g. "A")

[0469] Step 3:

[0470] Server: Receives the alphabet, queries the database, and retrieves the corresponding English word and visual illustration. For example, for the letter "A," retrieves "Apple" and its illustration.

[0471] Input: The alphabet sent to the server (e.g. "A")

[0472] Data processing: Query the corresponding English word “Apple” and its visual illustration from the database.

[0473] Output: The corresponding English word (e.g. "Apple") and its visual diagram

[0474] Step 4:

[0475] Server: Provide the correct word "Apple" and picture as the first option, and randomly select another word and picture (e.g., "Banana") from the database as the second option.

[0476] Input: The correct word and its visual illustration, plus another random word and illustration.

[0477] Data processing: Formatting options to generate multiple choice questions.

[0478] Output: The generated multiple-choice question (e.g., "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]")

[0479] Step 5:

[0480] Server: Sends the generated multiple-choice questions to the user's device.

[0481] Input: Generated multiple choice questions

[0482] Output: Multiple choice questions sent to the user's device

[0483] Step 6:

[0484] Terminal: Receives multiple choice questions and displays them to the user.

[0485] Input: Multiple choice question sent from the server

[0486] Output: Multiple choice question displayed to the user.

[0487] Step 7:

[0488] User: Look at the question and choose the option they think is correct, for example, click or tap on option 1.

[0489] Input: Multiple choice question displayed on the screen

[0490] Output: User's selection information (e.g., option 1)

[0491] Step 8:

[0492] Terminal: Sends the user's selection to the server.

[0493] Input: User selection information (e.g., option 1)

[0494] Output: User selections sent to the server

[0495] Step 9:

[0496] Server: Evaluates whether the received user choice is correct or incorrect. For example, if option 1 is correct, it is determined to be "correct."

[0497] Input: User selection information (e.g., option 1)

[0498] Data calculation: Evaluate whether the received answer is correct.

[0499] Output: Judgment result (e.g., correct answer)

[0500] Step 10:

[0501] Server: Sends the judgment result to the user's device.

[0502] Input: Judgment result (e.g., correct answer)

[0503] Output: The result of the test sent to the user's device.

[0504] Step 11:

[0505] Terminal: Display the result to the user, for example, a message like "Correct!"

[0506] Input: Judgment result sent from the server (e.g., correct answer)

[0507] Output: The result displayed on the screen (e.g., "Correct!")

[0508] Step 12:

[0509] Device: While the user is answering the questions, the camera captures the user's facial expressions.

[0510] Input: User's face image

[0511] Output: Facial image data sent to the server

[0512] Step 13:

[0513] Server: The emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. For example, if the user is smiling, it will be evaluated as "joy."

[0514] Input: Face image data

[0515] Data arithmetic: Analysis by emotion recognition algorithms

[0516] Output: Emotion evaluation result (e.g., joy)

[0517] Step 14:

[0518] Server: Adjust the difficulty of the next question based on the emotion evaluation result. For example, if the user is confused, make the next question easier.

[0519] Input: Emotion evaluation result

[0520] Data processing: Adjusting the difficulty of questions

[0521] Output: Adjusted next problem

[0522] Step 15:

[0523] Server: Generates a feedback message based on the emotion evaluation results and sends it to the user's device. For example, it generates a message such as "That was fun! Let's do our best next time!"

[0524] Input: Emotion evaluation result

[0525] Data processing: generating feedback messages

[0526] Output: Feedback messages sent to the terminal

[0527] Step 16:

[0528] Terminal: Display a feedback message to the user, for example, "That was fun! Let's try harder next time!"

[0529] Input: Feedback message sent by the server

[0530] Output: Feedback messages displayed on the screen

[0531] (Application example 2)

[0532] 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."

[0533] Existing English learning systems for young children have difficulty sustaining children's motivation to learn, making it difficult for parents and children to enjoy learning together. Furthermore, they lack the ability to properly grasp children's emotional state during learning and dynamically adjust the learning content accordingly, making it difficult for them to learn effectively.

[0534] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an emotion engine means for recognizing a user's emotions in real time and adjusting learning content based on the recognized emotional state; an input means for the user to input alphabets; a means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database; a means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions; a means for transmitting the generated questions to the user's device; a means for receiving the user's answers and determining whether the answers are correct or incorrect; and a means for transmitting the determination result to the user's device. This enables the learning system to grasp a child's emotional state in real time and provide flexible learning content according to that state.

[0535] "Input means" refers to a device or function that allows a user to input alphabets into a terminal.

[0536] A "database" is a collection of information that stores simple words and their visual representations corresponding to the alphabet.

[0537] The "means for generating multiple-choice questions" is a device or function that prepares correct word-picture pairs and other random word-picture pairs to create multiple-choice questions.

[0538] A "user device" is a computer, smartphone, tablet, or other terminal that a user uses to enjoy a learning experience.

[0539] The "emotion engine means" is a device or function for recognizing the user's emotions in real time and adjusting the learning content based on the user's emotional state.

[0540] A "means for determining whether an answer is correct or incorrect" is a device or function that receives the user's answer and evaluates whether it is correct.

[0541] The "means for transmitting the evaluation result" is a device or function that transmits the evaluation result to the user's device.

[0542] The present invention is an English learning system for young children that is designed to allow parents and children to learn English words and their visual images while having fun. This system can be effectively used in brick-and-mortar stores, especially edutainment facilities.

[0543] A system for implementing the invention includes the following elements:

[0544] 1. Input Method

[0545] The user inputs the alphabet using a smartphone app, which is then sent from the device to the server.

[0546] 2. A means of retrieving the corresponding words and visual diagrams from the database

[0547] The server receives the input alphabet and retrieves the corresponding simple English word and its visual illustration from the database. For example, if "A" is input, the server retrieves "Apple" and its illustration from the database.

[0548] 3. Methods for generating multiple-choice questions

[0549] The server prepares the correct word and picture pair as the first choice and another randomly selected word and picture pair as the second choice, for example, "Apple" and "Banana." This generates a multiple-choice question.

[0550] 4. Means for sending generated questions to the user's device

[0551] The server sends the generated multiple-choice questions to the user's smartphone, which displays the prompt, "Which of the following is an illustration of Apple?"

[0552] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[0553] The user selects one of the options on their smartphone and sends it to the server. The server receives the answer and determines whether it is correct or incorrect. For example, if the user selects "Apple," it is determined to be the correct answer.

[0554] 6. Means for transmitting the judgment result to the user's device

[0555] The server sends the result of the judgment to the user's device, and the user's device displays feedback saying "That's correct!"

[0556] 7. Emotional Engine Means

[0557] When the user selects an option, the device uses a camera to capture the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions. Based on the emotion evaluation results, the server adjusts the difficulty of the next question if the user's emotional state is good. For example, if the user is happy, the server displays a message saying, "Let's try harder next time!"

[0558] The following specific hardware and software are used to implement the program of this system:

[0559] Hardware: smartphones, tablets, servers, cameras

[0560] Software: OpenCV, EmotionRecognizer library, database system

[0561] Specific examples

[0562] When a user types "A" into their smartphone, the input is sent to the server. The server retrieves "Apple" and its visual image from the database and generates a multiple-choice question containing another randomly selected word, "Banana," and its image. The generated question is sent to the user's smartphone, where the user looks at the question and makes a choice. After deciding on a choice, the smartphone camera captures the user's facial expression, which is analyzed by the emotion engine. Based on the analysis results, the server adjusts the difficulty of the next question and the feedback message.

[0563] Prompt Sentence Examples

[0564] "Enter alphabet: A"

[0565] "Which of the following is an illustration of an Apple? 1. Apple 2. Banana"

[0566] "That's correct! Let's try harder next time!"

[0567] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0568] Step 1:

[0569] The user enters alphabets into the input field of the smartphone app and presses the send button. This input is sent from the device to the server. The input is alphabets, and the output is the data sent to the server.

[0570] Step 2:

[0571] The server queries the database based on the received alphabet and retrieves the corresponding English word and visual illustration from the database. The input is the alphabet, and the output retrieved from the database is the English word "Apple" and its illustration.

[0572] Step 3:

[0573] The server provides a correct word and picture pair (e.g., "Apple" and its illustration) as the first choice, and a randomly chosen word and picture (e.g., "Banana" and its illustration) as the second choice, generating a multiple-choice question. The input is an English word and a visual picture, and the output is a multiple-choice question.

[0574] Step 4:

[0575] The server sends the generated multiple-choice question to the user's device, which displays the prompt "Which of the following is an illustration of Apple?" The input is the multiple-choice question, and the output is the data sent to the user's device.

[0576] Step 5:

[0577] The user looks at a multiple-choice question displayed on the smartphone screen, selects one of the options, and presses the send button. This selection is sent from the device to the server. The input is the user's choice, and the output is the data sent to the server.

[0578] Step 6:

[0579] The server receives the user's answer and determines whether it is correct or incorrect. For example, it determines that "Apple" is correct and "Banana" is incorrect. The input is the user's choice, and the output is the correct / incorrect result.

[0580] Step 7:

[0581] The server sends the judgment result to the user's terminal. A feedback message such as "Correct!" or "Incorrect" is displayed on the user's terminal. The input is the judgment result, and the output is the data sent to the user's terminal.

[0582] Step 8:

[0583] When the user selects an option, the device captures a picture of the user's face with a camera, and the emotion engine analyzes the facial expression to recognize the emotion. The input is the user's face captured by the camera, and the output is the recognized emotion data.

[0584] Step 9:

[0585] Based on the emotion evaluation results, the server adjusts the problem by making the next question slightly more difficult if the user's emotional state is good. Conversely, if the user is confused, it makes the question easier or displays additional explanation. The input is the recognized emotion data, and the output is the adjusted learning content.

[0586] In this way, the systems work together to make the user's learning experience both effective and enjoyable.

[0587] 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.

[0588] 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.

[0589] 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.

[0590] [Second embodiment]

[0591] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0592] 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.

[0593] 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).

[0594] 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.

[0595] 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.

[0596] 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).

[0597] 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. 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.

[0598] 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.

[0599] 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.

[0600] 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.

[0601] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0602] 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."

[0603] The present invention relates to an English learning system for young children, designed to allow parents and children to learn English words and their visual images while having fun. The system includes an input means for a user to input alphabets, a means for retrieving corresponding words and visual images from a database, a means for generating and presenting multiple-choice questions, a means for evaluating the user's answers, and a means for notifying the user of the evaluation results.

[0604] Program processing

[0605] 1. The user enters the alphabet

[0606] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[0607] 2. Get the words and visual diagrams that correspond to the alphabet

[0608] Terminal: Send the entered alphabet "A" to the server.

[0609] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[0610] 3. Generate multiple choice questions

[0611] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[0612] Server: Randomly retrieve another word and visual image (e.g., "Banana") from the database and provide it as a second choice.

[0613] Server: Generate a multiple choice question like this:

[0614] Which of the following is an illustration of Apple?

[0615] 1. [Apple illustration]

[0616] 2. [Banana illustration]

[0617] 4. Send the generated questions to the user's device

[0618] Server: Sends the generated multiple-choice questions to the device.

[0619] 5. Display the question and have the user answer it

[0620] Terminal: Display the problem to the user:

[0621] Which of the following is an illustration of Apple?

[0622] 1. [Apple illustration]

[0623] 2. [Banana illustration]

[0624] User: For example, the user selects option 1 and clicks or taps.

[0625] 6. Send the user's choice to the server

[0626] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0627] 7. Evaluate the user's answer and notify them of the result

[0628] Server: Receives the user's choice and evaluates whether it is correct.

[0629] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[0630] Server: Sends the judgment result (correct answer) to the user's device.

[0631] Terminal: Show the user "Correct!"

[0632] Specific examples

[0633] If the user types the letter "B", the following happens:

[0634] 1. The user enters the alphabet

[0635] User: The user enters "B" into the input field on the terminal and clicks the send button.

[0636] 2. Get the words and visual diagrams that correspond to the alphabet

[0637] Terminal: Send the entered alphabet "B" to the server.

[0638] Server: Queries the database using the received alphabet "B" to retrieve the corresponding English word "Ball" and its visual diagram.

[0639] 3. Generate multiple choice questions

[0640] Server: Provide the correct word "Ball" and its visual diagram as the first choice.

[0641] Server: Randomly retrieve another word and visual image (e.g., "Cat") from the database and provide it as a second choice.

[0642] Server: Generate a multiple choice question like this:

[0643] Which of the following is an illustration of Ball?

[0644] 1. [Ball illustration]

[0645] 2. [Cat illustration]

[0646] 4. Send the generated questions to the user's device

[0647] Server: Sends the generated multiple-choice questions to the device.

[0648] 5. Display the question and have the user answer it

[0649] Terminal: Display the problem to the user:

[0650] Which of the following is an illustration of Ball?

[0651] 1. [Ball illustration]

[0652] 2. [Cat illustration]

[0653] User: Click or tap on option 1.

[0654] 6. Send the user's choice to the server

[0655] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0656] 7. Evaluate the user's answer and notify them of the result

[0657] Server: Receives the user's choice and evaluates whether it is correct.

[0658] Server: Option 1 is "Ball", so it is determined to be the correct answer.

[0659] Server: Sends the judgment result (correct answer) to the user's device.

[0660] Terminal: Show the user "Correct!"

[0661] In this way, the system according to the present invention allows users to intuitively learn English words and their visual images, and allows users to enjoy learning together with their families.

[0662] The processing flow will be explained below.

[0663] Step 1:

[0664] The user enters alphabets into the input field of the terminal and presses the send button.

[0665] Step 2:

[0666] The terminal sends the alphabet entered by the user to the server.

[0667] Step 3:

[0668] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0669] Step 4:

[0670] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[0671] Step 5:

[0672] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[0673] Step 6:

[0674] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0675] Step 7:

[0676] The server generates multiple choice questions and sends them to the terminal.

[0677] Step 8:

[0678] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0679] Step 9:

[0680] The user clicks or taps on an option. For example, they select option 1.

[0681] Step 10:

[0682] The device sends the user's selection (e.g., option 1) to the server.

[0683] Step 11:

[0684] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[0685] Step 12:

[0686] The server sends the judgment result (correct answer) to the terminal.

[0687] Step 13:

[0688] The device displays the received result to the user, for example, "That's right!"

[0689] This process allows users to learn English through the entire system, from entering the alphabet to checking the results.

[0690] Example 1

[0691] 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."

[0692] In English learning for young children, there is a lack of ways to learn words and their visual images in a fun way. Furthermore, there are few functions for tracking learning progress, making it difficult to provide efficient learning support.

[0693] 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.

[0694] In this invention, the server includes input means for a user to input alphabets, means for retrieving words corresponding to the alphabets and their visual illustrations from a database, means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions, means for transmitting the generated multiple-choice questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, means for randomly selecting correct word-illustration pairs according to the alphabets input by the user, and means for accumulating answer history and tracking the user's learning progress. This enables the user to visually learn the meanings of words while efficiently tracking their learning progress.

[0695] "Input means" refers to a device or software that allows a user to input alphabetic characters.

[0696] A "database" is an information system for storing and managing words and their visual representations.

[0697] A "word-picture pair" is a combination of a particular word and a picture that visually represents that word.

[0698] A multiple choice question is a question that requires you to choose one correct answer from two options.

[0699] "Transmission means" refers to a function for sending the generated multiple-choice questions and judgment results to the user's device.

[0700] The "determination means" is a function for evaluating whether the user's answer is correct or incorrect.

[0701] A "random selection method" is a function for randomly selecting one option from multiple options.

[0702] "Answer history" refers to a collection of records of past answers given by a user.

[0703] "Means for tracking learning progress" refers to functions for recording and analyzing a user's learning status and managing progress.

[0704] This invention is an English learning system for young children, and is implemented using the following hardware and software. The hardware used is a user's device (such as a PC, tablet, or smartphone) and a server. As for the software, a web browser and an interface scripting language (e.g., JavaScript) are used for operation on the device, and a database management system (e.g., MySQL) and server-side scripts (e.g., Python) are used on the server side.

[0705] An input field on the device is provided as an input means for the user to enter English alphabets. When the user enters an alphabet (e.g., "A") and clicks submit, the device sends this input to the server. The server queries a database based on the received alphabet and retrieves the corresponding word "Apple" and its visual illustration. The server uses this word-illustration pair to generate the first option, and then randomly extracts another word and illustration (e.g., "Banana") from the database to generate another option. This creates a multiple-choice question.

[0706] The generated multiple-choice questions are sent from the server to the device, which then displays the questions to the user. When the user selects an answer, the device sends that choice to the server. The server evaluates whether the user's choice is correct or incorrect and notifies the user's device of the result. The notification result is displayed on the device as a message saying "That's correct!" During this process, the server accumulates the user's answer history and has the ability to track their learning progress.

[0707] Here are some examples of prompts for generative AI models:

[0708] Generate a program that explains what happens when the user types the letter "A." Explain the steps below:

[0709] 1. The user enters the alphabet

[0710] 2. Get the words and visual diagrams that correspond to the alphabet

[0711] 3. Generate multiple choice questions

[0712] 4. Send the generated questions to the user's device

[0713] 5. Display the question and have the user answer it

[0714] 6. Send the user's choice to the server

[0715] 7. Evaluate the user's answer and notify them of the result

[0716] This system allows young children to intuitively learn words and their visual images, and allows parents and children to enjoy learning together.In addition, the system's answer history and learning progress tracking functions make it possible to efficiently progress through learning while checking the results of learning.

[0717] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0718] Step 1:

[0719] The user enters an alphabet

[0720] User: Enter an English alphabet (e.g., "A") into the input field on the terminal and click the send button.

[0721] Specific actions: Enter the alphabet using the keyboard and click the send button using the mouse or touch screen.

[0722] Input: Alphabet "A"

[0723] Output: A send event is triggered.

[0724] Step 2:

[0725] Get the words and visual diagrams that correspond to the alphabet

[0726] Terminal: Send the entered alphabet "A" to the server.

[0727] Specific actions: Pressing the Enter key or using a touchscreen to confirm input; forming and sending an HTTP request.

[0728] Input: Alphabet "A"

[0729] Output: HTTP requests containing the letter "A"

[0730] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[0731] Specific operation: Executes an SQL query against the MySQL database and retrieves the target records.

[0732] Input: HTTP request containing the letter "A"

[0733] Output: The word "Apple" and its visual diagram

[0734] Step 3:

[0735] Generate multiple choice questions

[0736] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[0737] What it does: Gets the image files associated with "Apple" and formats them as options.

[0738] Input: The word "Apple" and its visual illustration

[0739] Output: Generate option 1

[0740] Server: Randomly retrieve another word and picture from the database (e.g., "Banana") and provide it as the second option.

[0741] What it does: Executes a random SQL query to retrieve different records.

[0742] Input: Database

[0743] Output: The word "Banana" and its visual illustration

[0744] Server: Generate a multiple choice question like this:

[0745] Which of the following is an illustration of Apple?

[0746] 1. [Apple illustration]

[0747] 2. [Banana illustration]

[0748] Specific behavior: Generates a question in HTML format.

[0749] Input: Choice 1 and Choice 2

[0750] Output: Multiple choice text

[0751] Step 4:

[0752] Send the generated questions to the user's device

[0753] Server: Sends the generated multiple-choice questions to the user's device.

[0754] Specific operation: Forms an HTTP response and sends it back to the device.

[0755] Input: Multiple choice text

[0756] Output: HTTP response

[0757] Step 5:

[0758] Display the question and have the user answer it

[0759] Terminal: Display the problem to the user:

[0760] Which of the following is an illustration of Apple?

[0761] 1. [Apple illustration]

[0762] 2. [Banana illustration]

[0763] What it does: Use a browser to view the issue in HTML / CSS.

[0764] Input: HTTP response containing text in multiple choice format

[0765] Output: Browser screen display

[0766] User: Click or tap on option 1.

[0767] Specific action: Select an option using a mouse click or touch screen.

[0768] Input: Click or tap action

[0769] Output: Selection data

[0770] Step 6:

[0771] Send the user's selection to the server

[0772] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0773] Specific behavior: Forms an HTTP request and sends the selected data.

[0774] Input: Selection data

[0775] Output: HTTP request containing the selection data

[0776] Step 7:

[0777] Evaluate the user's answer and notify them of the result

[0778] Server: Evaluates the user's choice and determines whether it is correct.

[0779] Specific operation: Compare the received selection data with the correct answer data and evaluate.

[0780] Input: Selection data

[0781] Output: Evaluation result

[0782] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[0783] Specific operation: Determine whether the correct answer conditions are met.

[0784] Input: Selection data

[0785] Output: Correct flag

[0786] Server: Sends the judgment result (correct answer) to the user's device.

[0787] Specific operation: Create an HTTP response containing the judgment result and return it to the terminal.

[0788] Input: Correct flag

[0789] Output: HTTP response containing the verdict

[0790] Terminal: Show the user "Correct!"

[0791] Specific behavior: Display a message in the browser.

[0792] Input: HTTP response containing the judgment result

[0793] Output: Screen displays "Correct!"

[0794] (Application example 1)

[0795] 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."

[0796] Previous English learning systems for young children were primarily used at home, which limited the scope of learning. They also lacked interactive elements that allowed young children to actively participate in the learning environment, making it difficult to maintain their interest. Furthermore, there was a lack of learning opportunities linked to specific activities, creating a need for a means to provide English learning experiences in real-life environments.

[0797] 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.

[0798] In this invention, the server includes a reading means for a user to scan a QR code, a means for querying corresponding words and visual diagrams based on the alphabet obtained from the read QR code, and a user interface means for displaying quizzes, allowing users to generate questions using QR codes installed at specific locations in the store and learn English vocabulary in a realistic environment.

[0799] A "user" is a person who uses the system to study English.

[0800] "Alphabet" refers to the English alphabet, including the 26 letters A through Z.

[0801] "Input means" refers to an interface through which a user inputs alphabets, and includes a keyboard and a touch screen.

[0802] A "database" is an information storage that stores words and visual diagrams that correspond to the alphabet.

[0803] To "query" means to search and retrieve specific information from a database.

[0804] The "means for generating multiple-choice questions" is a function that creates questions with two options using the correct word-picture pair and another random word-picture pair.

[0805] "Transmitting means" is a function for transmitting generated questions and assessment results to the user's device.

[0806] A "QR code" is a two-dimensional barcode for encoding information.

[0807] "Reading means" refers to a device or function for scanning QR codes, including a smartphone camera.

[0808] A "user interface" is a screen or operating means by which a user interacts with a system.

[0809] "Specific location within the store" refers to an area within the physical retail facility that is associated with a particular product or category.

[0810] The "means for determining the answer" is a function for determining whether the answer selected by the user is correct or incorrect.

[0811] "Storing history" means recording the user's past answers and learning progress.

[0812] "Means for tracking progress" is a function for tracking and evaluating a user's learning progress.

[0813] This invention is a system for children to learn English together with their parents in a brick-and-mortar store, where users can answer English vocabulary quizzes by scanning QR codes installed in specific locations within the store. A specific embodiment of this system will be described below.

[0814] Hardware and software used

[0815] Hardware

[0816] Smartphone: A device used to scan the QR code and view the quiz.

[0817] QR Code: A means of encoding information placed at specific locations within a store.

[0818] software

[0819] QR code library (e.g. ZXing): A library for decoding QR codes using a smartphone camera.

[0820] Server (e.g. Firebase): A server for storing the words corresponding to the alphabet and their visual diagrams.

[0821] Database (e.g. Firestore): A database for storing word data and image data.

[0822] UI framework (e.g., Flutter): A framework for building user interfaces.

[0823] System processing description

[0824] Scanning the QR code

[0825] A user uses the camera function of their smartphone to scan a QR code installed in a store. The QR code is decoded using the smartphone's QR code library (e.g., ZXing) to obtain specific alphabetic information.

[0826] Database queries and word retrieval

[0827] The acquired alphabet information is sent from the smartphone to a server (e.g., Firebase), which then queries a database (e.g., Firestore) based on the received alphabet information to obtain the corresponding English words and their visual diagrams.

[0828] Generate multiple choice quizzes

[0829] The server generates a multiple-choice quiz based on the correct English word and visual image obtained. The other option is a randomly selected word and image from the database. For example, it could prepare "Teddy Bear" and a randomly selected image of "Toy."

[0830] View Quiz

[0831] The generated multiple-choice quiz is sent from the server to the smartphone and displayed to the user through a user interface (for example, built with Flutter). The user selects the correct answer from the displayed options and submits the answer.

[0832] Answer evaluation and feedback

[0833] The user's answer is sent to the server, which determines whether it is correct or incorrect. If it is determined to be correct, the server generates a feedback message saying "That's correct!" and sends it to the smartphone. The user interface displays this feedback message to the user.

[0834] Examples and prompts

[0835] Specific examples

[0836] For example, if a user scans a QR code for a stuffed animal section, the QR code will encode a "T" and the system will retrieve the word "Teddy Bear" and a visual image. It will also retrieve the random word "Toy" and its image and generate the following multiple-choice question:

[0837] "Which of these is an illustration of Teddy Bear?"

[0838] 1. [Teddy Bear illustration]

[0839] 2. [Toy illustration]

[0840] If the user selects "Teddy Bear illustration," the server determines that it is the correct answer and provides feedback saying, "That's right!"

[0841] Prompt Sentence Examples

[0842] python

[0843] def prompt_for_english_quiz(qr_code_data):

[0844] """

[0845] A function that generates English vocabulary quizzes based on data read from QR codes

[0846] """

[0847] Get the alphabet from a QR code

[0848] alphabet = decode_qr_code(qr_code_data)

[0849] Send the alphabet to the server and get related English words and pictures

[0850] correct_word, correct_image, random_word, random_image = query_server_for_quiz(alphabet)

[0851] Generate multiple choice questions

[0852] quiz_question = f"Which of the following is an illustration of {correct_word}?"

[0853] options = [

[0854] {"word": correct_word, "image": correct_image},

[0855] {"word": random_word, "image": random_image}

[0856] ]

[0857] Present the problem to the user

[0858] display_quiz(quiz_question, options)

[0859] Get the answer

[0860] user_answer = get_user_answer()

[0861] Send your answers to the server for evaluation

[0862] result = evaluate_answer(user_answer, correct_word)

[0863] Notification of results

[0864] provide_feedback(result)

[0865] In this way, the system provides an environment where parents and children can have fun learning English vocabulary in a physical store.

[0866] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0867] Step 1:

[0868] A user uses the camera on their smartphone to scan a QR code installed in a store. The input is the QR code image, and the output is the decoded alphabetic information. This decoding process is performed using the smartphone's QR code library (e.g., ZXing).

[0869] Step 2:

[0870] The terminal sends the decoded alphabet information to the server. The input is the alphabet information (e.g., "T"), and the server receives this information and proceeds to the next step.

[0871] Step 3:

[0872] Based on the received alphabet information, the server queries a database (e.g., Firestore) to retrieve the corresponding English word and its visual illustration. The input is alphabet information, and the output is the URL of the English word (e.g., "Teddy Bear") and its visual illustration.

[0873] Step 4:

[0874] The server simultaneously randomly retrieves another English word and its visual illustration from the database. The input is the trigger for random selection, and the output is the URL of a random English word (e.g., "Toy") and its visual illustration.

[0875] Step 5:

[0876] The server generates a multiple-choice quiz using the correct word and picture, as well as another randomly chosen word and picture. The input is two English words and the URL of their respective pictures, and the output is in the form of a quiz (e.g., "Which of the following is an illustration of Teddy Bear? 1. [Illustration of Teddy Bear] 2. [Illustration of Toy]").

[0877] Step 6:

[0878] The server generates a multiple-choice quiz and sends it to the device. The input is quiz-format data, and the output is the quiz screen displayed on the smartphone.

[0879] Step 7:

[0880] The user selects the correct answer from the displayed quiz and submits the answer. The input is the user's choice (e.g., option 1) and is sent from the device to the server.

[0881] Step 8:

[0882] The server receives the user's answer and determines whether it is correct or incorrect. The input is the user's answer, and the output is the result of the determination (e.g., correct answer).

[0883] Step 9:

[0884] The server sends the result of the judgment to the terminal and generates a feedback message. The input is the judgment result, and the output is the feedback message (e.g., "Correct!").

[0885] Step 10:

[0886] The terminal displays the received feedback message to the user. The input is the feedback message, and the output is the message displayed on the screen.

[0887] 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.

[0888] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[0889] The system includes the following elements:

[0890] 1. Input Method

[0891] The user enters alphabets into the input field of the terminal and presses the send button.

[0892] 2. A means of retrieving the corresponding words and visual diagrams from the database

[0893] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0894] 3. Methods for generating multiple-choice questions

[0895] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[0896] The server generates multiple choice questions and sends them to the user's device.

[0897] 4. Means for sending generated questions to the user's device

[0898] The terminal displays the received multiple-choice questions to the user.

[0899] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[0900] The server receives the user's answer and determines whether it is correct or incorrect.

[0901] The determination result is sent to the user's device.

[0902] 6. Emotion engine that recognizes user emotions

[0903] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[0904] Adjust learning content and feedback based on emotional assessment results.

[0905] Program processing

[0906] The specific processing of the system is explained in natural language below:

[0907] 1. The user enters the alphabet

[0908] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[0909] 2. Get the words and visual diagrams that correspond to the alphabet

[0910] Terminal: Send the entered alphabet "A" to the server.

[0911] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[0912] 3. Generate multiple choice questions

[0913] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[0914] Server: Randomly select another word and picture from the database and provide it as a second choice. For example, prepare "Banana" and its illustration.

[0915] Server: Generate a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]".

[0916] 4. Send the generated questions to the user's device

[0917] Server: Sends the generated multiple-choice questions to the device.

[0918] 5. Display the question and have the user answer it

[0919] Device: Show the user the following question: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0920] User: For example, the user selects option 1 and clicks or taps.

[0921] 6. Send the user's choice to the server

[0922] Terminal: Sends the user's choice (e.g., option 1) to the server.

[0923] 7. Evaluate the user's answer and notify them of the result

[0924] Server: Receives the user's choice and evaluates whether it is correct. Since option 1 is "Apple," it is determined to be the correct answer.

[0925] Server: Sends the judgment result (correct answer) to the user's device.

[0926] Terminal: Show the user "Correct!"

[0927] Examples of emotion engines

[0928] 1. Emotion recognition

[0929] Device: When the user answers a multiple-choice question, a camera captures the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions.

[0930] 2. Emotional assessment

[0931] Server: The emotion engine evaluates the user's emotional state (e.g., joy, interest, confusion, etc.).

[0932] 3. Adjusting learning content

[0933] Server: Based on the emotion evaluation results, if the user's emotional state is good, the next question will be made slightly more difficult. Conversely, if the user is confused, the question will be made easier or additional explanations will be displayed.

[0934] 4. Providing Feedback

[0935] Server: Sends specific feedback messages to the device based on the emotion evaluation results, such as "That was fun! Let's try harder next time!"

[0936] In this way, incorporating an emotional engine can provide a flexible learning experience that adapts to the user's emotional state, making English learning more effective and enjoyable.

[0937] The processing flow will be explained below.

[0938] Step 1:

[0939] The user enters alphabets into the input field of the terminal and presses the send button.

[0940] Step 2:

[0941] The terminal sends the alphabet entered by the user to the server.

[0942] Step 3:

[0943] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0944] Step 4:

[0945] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[0946] Step 5:

[0947] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[0948] Step 6:

[0949] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0950] Step 7:

[0951] The server generates multiple choice questions and sends them to the terminal.

[0952] Step 8:

[0953] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[0954] Step 9:

[0955] The user clicks or taps on an option. For example, they select option 1.

[0956] Step 10:

[0957] The device sends the user's selection (e.g., option 1) to the server.

[0958] Step 11:

[0959] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[0960] Step 12:

[0961] The server sends the judgment result (correct answer) to the terminal.

[0962] Step 13:

[0963] The device displays the received result to the user, for example, "That's right!"

[0964] Step 14:

[0965] The device captures the user's facial expression with a camera and sends the image data to a server.

[0966] Step 15:

[0967] The server uses an emotion engine to analyze the transmitted image data and evaluate the user's emotional state. For example, the emotion engine detects "joy" from the user's facial expression.

[0968] Step 16:

[0969] The server adjusts the learning content based on the emotion evaluation results. For example, if the user is in a "happy" state, the next question will be made a little more difficult.

[0970] Step 17:

[0971] The server generates the next adjusted problem and sends it to the terminal.

[0972] Step 18:

[0973] The device then displays the next question to the user. By repeating this process, a flexible learning environment can be provided that adapts to the user's emotional state.

[0974] Example 2

[0975] 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."

[0976] In English learning systems for young children, the challenge is to provide a more effective and enjoyable learning environment by adjusting the learning experience according to the user's emotional state, rather than simply presenting learning content. In particular, it is necessary to properly determine when the user loses interest in learning or becomes confused, and provide appropriate feedback and support.

[0977] 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.

[0978] In this invention, the server includes input means for a user to input alphabets, means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database, means for generating multiple-choice questions by preparing correct word-and-illustration pairs and random word-and-illustration pairs, means for transmitting the generated questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, emotion recognition means for analyzing the user's facial expressions with a camera and evaluating the user's emotional state, means for adjusting the difficulty of the next question based on the emotion evaluation result, and means for generating a feedback message based on the emotion evaluation result and transmitting it to the user's device. This makes it possible to adjust the learning content and feedback according to the user's emotional state.

[0979] "Input means" refers to an interface device that a user uses to input alphabetic characters.

[0980] A "database" refers to an information storage device that stores information such as words corresponding to the alphabet or visual diagrams.

[0981] A "query" refers to an inquiry to obtain specific information from a database.

[0982] A "multiple choice question" refers to a question format in which the user must select the correct answer from two options.

[0983] "User device" refers to an electronic device, such as a computer or tablet, that a user uses to access the system.

[0984] "Emotion recognition means" refers to an analysis device or software for analyzing a user's facial expressions and assessing their emotional state.

[0985] The "emotion evaluation result" is a result that is analyzed by the emotion recognition means and indicates the user's current emotional state (joy, interest, confusion, etc.).

[0986] A "feedback message" refers to a response message generated based on the user's behavior and emotional evaluation results.

[0987] "Study progress tracking means" refers to a device or software that accumulates a user's learning history and tracks the user's progress.

[0988] "Determination means" refers to the mechanism or algorithm used to determine whether a user's answer is correct or incorrect.

[0989] "Question generation means" refers to a device or software that generates multiple-choice questions by providing correct word-picture pairs and random word-picture pairs.

[0990] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[0991] The system includes the following elements:

[0992] 1. Input Method

[0993] The user enters alphabets into the input field of the terminal and presses the send button.

[0994] 2. A means of retrieving the corresponding words and visual diagrams from the database

[0995] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[0996] 3. Methods for generating multiple-choice questions

[0997] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[0998] The server generates multiple choice questions and sends them to the user's device.

[0999] 4. Means for sending generated questions to the user's device

[1000] The terminal displays the received multiple-choice questions to the user.

[1001] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[1002] The server receives the user's answer and determines whether it is correct or incorrect.

[1003] The determination result is sent to the user's device.

[1004] 6. Emotion engine that recognizes user emotions

[1005] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[1006] Adjust learning content and feedback based on emotional assessment results.

[1007] Specifically, the user inputs the letter "A" and the device sends the input to the server. The server queries the database and retrieves "Apple" and its illustration. The server then randomly selects another word and illustration (e.g., "Banana") and generates a multiple-choice question. The question is presented to the user: "Which of the following is an illustration of an Apple?"

[1008] When the user clicks the correct option, the device sends the selection to the server, which determines whether the selection is correct or incorrect. If the selection is correct, the server sends feedback to the device saying "That's right!"

[1009] Furthermore, the emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. Based on this evaluation result, the server adjusts the difficulty of the next question or changes the feedback message. For example, if the user is confused, the server may simplify the next question or provide additional explanation.

[1010] Examples of concrete examples and prompts

[1011] Specific examples

[1012] If the user enters the letter "B":

[1013] The user enters the letter "B" into the input field of the terminal and clicks the send button.

[1014] The device sends the alphabet "B" to the server.

[1015] The server retrieves "Banana" and its illustration corresponding to "B."

[1016] The server randomly selects "Cat" and its illustration and generates a multiple-choice question.

[1017] The question presented to the user is, "Which of the following is an illustration of a banana?"

[1018] If the user selects the correct option, the device displays the message "Correct!"

[1019] Prompt Sentence Examples

[1020] "Users input an alphabet, generate multiple choice questions, and rate their answers. Use an emotion engine to assess the user's emotional state and provide feedback based on that."

[1021] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1022] Step 1:

[1023] User: The user types English alphabets into the input field of the terminal and clicks the send button.

[1024] Input: User's alphabetic input (e.g. "A")

[1025] Output: The alphabet sent to the terminal (e.g. "A")

[1026] Step 2:

[1027] Terminal: Sends the input alphabet to the server.

[1028] Input: The alphabet entered by the user (e.g. "A")

[1029] Output: The alphabet sent to the server (e.g. "A")

[1030] Step 3:

[1031] Server: Receives the alphabet, queries the database, and retrieves the corresponding English word and visual illustration. For example, for the letter "A," retrieves "Apple" and its illustration.

[1032] Input: The alphabet sent to the server (e.g. "A")

[1033] Data processing: Query the corresponding English word “Apple” and its visual illustration from the database.

[1034] Output: The corresponding English word (e.g. "Apple") and its visual diagram

[1035] Step 4:

[1036] Server: Provide the correct word "Apple" and picture as the first option, and randomly select another word and picture (e.g., "Banana") from the database as the second option.

[1037] Input: The correct word and its visual illustration, plus another random word and illustration.

[1038] Data processing: Formatting options to generate multiple choice questions.

[1039] Output: The generated multiple-choice question (e.g., "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]")

[1040] Step 5:

[1041] Server: Sends the generated multiple-choice questions to the user's device.

[1042] Input: Generated multiple choice questions

[1043] Output: Multiple choice questions sent to the user's device

[1044] Step 6:

[1045] Terminal: Receives multiple choice questions and displays them to the user.

[1046] Input: Multiple choice question sent from the server

[1047] Output: Multiple choice question displayed to the user.

[1048] Step 7:

[1049] User: Look at the question and choose the option they think is correct, for example, click or tap on option 1.

[1050] Input: Multiple choice question displayed on the screen

[1051] Output: User's selection information (e.g., option 1)

[1052] Step 8:

[1053] Terminal: Sends the user's selection to the server.

[1054] Input: User selection information (e.g., option 1)

[1055] Output: User selections sent to the server

[1056] Step 9:

[1057] Server: Evaluates whether the received user choice is correct or incorrect. For example, if option 1 is correct, it is determined to be "correct."

[1058] Input: User selection information (e.g., option 1)

[1059] Data calculation: Evaluate whether the received answer is correct.

[1060] Output: Judgment result (e.g., correct answer)

[1061] Step 10:

[1062] Server: Sends the judgment result to the user's device.

[1063] Input: Judgment result (e.g., correct answer)

[1064] Output: The result of the test sent to the user's device.

[1065] Step 11:

[1066] Terminal: Display the result to the user, for example, a message like "Correct!"

[1067] Input: Judgment result sent from the server (e.g., correct answer)

[1068] Output: The result displayed on the screen (e.g., "Correct!")

[1069] Step 12:

[1070] Device: While the user is answering the questions, the camera captures the user's facial expressions.

[1071] Input: User's face image

[1072] Output: Facial image data sent to the server

[1073] Step 13:

[1074] Server: The emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. For example, if the user is smiling, it will be evaluated as "joy."

[1075] Input: Face image data

[1076] Data arithmetic: Analysis by emotion recognition algorithms

[1077] Output: Emotion evaluation result (e.g., joy)

[1078] Step 14:

[1079] Server: Adjust the difficulty of the next question based on the emotion evaluation result. For example, if the user is confused, make the next question easier.

[1080] Input: Emotion evaluation result

[1081] Data processing: Adjusting the difficulty of questions

[1082] Output: Adjusted next problem

[1083] Step 15:

[1084] Server: Generates a feedback message based on the emotion evaluation results and sends it to the user's device. For example, it generates a message such as "That was fun! Let's do our best next time!"

[1085] Input: Emotion evaluation result

[1086] Data processing: generating feedback messages

[1087] Output: Feedback messages sent to the terminal

[1088] Step 16:

[1089] Terminal: Display a feedback message to the user, for example, "That was fun! Let's try harder next time!"

[1090] Input: Feedback message sent by the server

[1091] Output: Feedback messages displayed on the screen

[1092] (Application example 2)

[1093] 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."

[1094] Existing English learning systems for young children have difficulty sustaining children's motivation to learn, making it difficult for parents and children to enjoy learning together. Furthermore, they lack the ability to properly grasp children's emotional state during learning and dynamically adjust the learning content accordingly, making it difficult for them to learn effectively.

[1095] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an emotion engine means for recognizing a user's emotions in real time and adjusting learning content based on the recognized emotional state; an input means for the user to input alphabets; a means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database; a means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions; a means for transmitting the generated questions to the user's device; a means for receiving the user's answers and determining whether the answers are correct or incorrect; and a means for transmitting the determination result to the user's device. This enables the learning system to grasp a child's emotional state in real time and provide flexible learning content according to that state.

[1096] "Input means" refers to a device or function that allows a user to input alphabets into a terminal.

[1097] A "database" is a collection of information that stores simple words and their visual representations corresponding to the alphabet.

[1098] The "means for generating multiple-choice questions" is a device or function that prepares correct word-picture pairs and other random word-picture pairs to create multiple-choice questions.

[1099] A "user device" is a computer, smartphone, tablet, or other terminal that a user uses to enjoy a learning experience.

[1100] The "emotion engine means" is a device or function for recognizing the user's emotions in real time and adjusting the learning content based on the user's emotional state.

[1101] A "means for determining whether an answer is correct or incorrect" is a device or function that receives the user's answer and evaluates whether it is correct.

[1102] The "means for transmitting the evaluation result" is a device or function that transmits the evaluation result to the user's device.

[1103] The present invention is an English learning system for young children that is designed to allow parents and children to learn English words and their visual images while having fun. This system can be effectively used in brick-and-mortar stores, especially edutainment facilities.

[1104] A system for implementing the invention includes the following elements:

[1105] 1. Input Method

[1106] The user inputs the alphabet using a smartphone app, which is then sent from the device to the server.

[1107] 2. A means of retrieving the corresponding words and visual diagrams from the database

[1108] The server receives the input alphabet and retrieves the corresponding simple English word and its visual illustration from the database. For example, if "A" is input, the server retrieves "Apple" and its illustration from the database.

[1109] 3. Methods for generating multiple-choice questions

[1110] The server prepares the correct word and picture pair as the first choice and another randomly selected word and picture pair as the second choice, for example, "Apple" and "Banana." This generates a multiple-choice question.

[1111] 4. Means for sending generated questions to the user's device

[1112] The server sends the generated multiple-choice questions to the user's smartphone, which displays the prompt, "Which of the following is an illustration of Apple?"

[1113] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[1114] The user selects one of the options on their smartphone and sends it to the server. The server receives the answer and determines whether it is correct or incorrect. For example, if the user selects "Apple," it is determined to be the correct answer.

[1115] 6. Means for transmitting the judgment result to the user's device

[1116] The server sends the result of the judgment to the user's device, and the user's device displays feedback saying "That's correct!"

[1117] 7. Emotional Engine Means

[1118] When the user selects an option, the device uses a camera to capture the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions. Based on the emotion evaluation results, the server adjusts the difficulty of the next question if the user's emotional state is good. For example, if the user is happy, the server displays a message saying, "Let's try harder next time!"

[1119] The following specific hardware and software are used to implement the program of this system:

[1120] Hardware: smartphones, tablets, servers, cameras

[1121] Software: OpenCV, EmotionRecognizer library, database system

[1122] Specific examples

[1123] When a user types "A" into their smartphone, the input is sent to the server. The server retrieves "Apple" and its visual image from the database and generates a multiple-choice question containing another randomly selected word, "Banana," and its image. The generated question is sent to the user's smartphone, where the user looks at the question and makes a choice. After deciding on a choice, the smartphone camera captures the user's facial expression, which is analyzed by the emotion engine. Based on the analysis results, the server adjusts the difficulty of the next question and the feedback message.

[1124] Prompt Sentence Examples

[1125] "Enter alphabet: A"

[1126] "Which of the following is an illustration of an Apple? 1. Apple 2. Banana"

[1127] "That's correct! Let's try harder next time!"

[1128] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1129] Step 1:

[1130] The user enters alphabets into the input field of the smartphone app and presses the send button. This input is sent from the device to the server. The input is alphabets, and the output is the data sent to the server.

[1131] Step 2:

[1132] The server queries the database based on the received alphabet and retrieves the corresponding English word and visual illustration from the database. The input is the alphabet, and the output retrieved from the database is the English word "Apple" and its illustration.

[1133] Step 3:

[1134] The server provides a correct word and picture pair (e.g., "Apple" and its illustration) as the first choice, and a randomly chosen word and picture (e.g., "Banana" and its illustration) as the second choice, generating a multiple-choice question. The input is an English word and a visual picture, and the output is a multiple-choice question.

[1135] Step 4:

[1136] The server sends the generated multiple-choice question to the user's device, which displays the prompt "Which of the following is an illustration of Apple?" The input is the multiple-choice question, and the output is the data sent to the user's device.

[1137] Step 5:

[1138] The user looks at a multiple-choice question displayed on the smartphone screen, selects one of the options, and presses the send button. This selection is sent from the device to the server. The input is the user's choice, and the output is the data sent to the server.

[1139] Step 6:

[1140] The server receives the user's answer and determines whether it is correct or incorrect. For example, it determines that "Apple" is correct and "Banana" is incorrect. The input is the user's choice, and the output is the correct / incorrect result.

[1141] Step 7:

[1142] The server sends the judgment result to the user's terminal. A feedback message such as "Correct!" or "Incorrect" is displayed on the user's terminal. The input is the judgment result, and the output is the data sent to the user's terminal.

[1143] Step 8:

[1144] When the user selects an option, the device captures a picture of the user's face with a camera, and the emotion engine analyzes the facial expression to recognize the emotion. The input is the user's face captured by the camera, and the output is the recognized emotion data.

[1145] Step 9:

[1146] Based on the emotion evaluation results, the server adjusts the problem by making the next question slightly more difficult if the user's emotional state is good. Conversely, if the user is confused, it makes the question easier or displays additional explanation. The input is the recognized emotion data, and the output is the adjusted learning content.

[1147] In this way, the systems work together to make the user's learning experience both effective and enjoyable.

[1148] 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.

[1149] 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.

[1150] 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.

[1151] [Third embodiment]

[1152] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1153] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1154] 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).

[1155] 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.

[1156] 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.

[1157] 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).

[1158] 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. 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.

[1159] 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.

[1160] 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.

[1161] 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.

[1162] 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.

[1163] 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."

[1164] The present invention relates to an English learning system for young children, designed to allow parents and children to learn English words and their visual images while having fun. The system includes an input means for a user to input alphabets, a means for retrieving corresponding words and visual images from a database, a means for generating and presenting multiple-choice questions, a means for evaluating the user's answers, and a means for notifying the user of the evaluation results.

[1165] Program processing

[1166] 1. The user enters the alphabet

[1167] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[1168] 2. Get the words and visual diagrams that correspond to the alphabet

[1169] Terminal: Send the entered alphabet "A" to the server.

[1170] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[1171] 3. Generate multiple choice questions

[1172] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[1173] Server: Randomly retrieve another word and visual image (e.g., "Banana") from the database and provide it as a second choice.

[1174] Server: Generate a multiple choice question like this:

[1175] Which of the following is an illustration of Apple?

[1176] 1. [Apple illustration]

[1177] 2. [Banana illustration]

[1178] 4. Send the generated questions to the user's device

[1179] Server: Sends the generated multiple-choice questions to the device.

[1180] 5. Display the question and have the user answer it

[1181] Terminal: Display the problem to the user:

[1182] Which of the following is an illustration of Apple?

[1183] 1. [Apple illustration]

[1184] 2. [Banana illustration]

[1185] User: For example, the user selects option 1 and clicks or taps.

[1186] 6. Send the user's choice to the server

[1187] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1188] 7. Evaluate the user's answer and notify them of the result

[1189] Server: Receives the user's choice and evaluates whether it is correct.

[1190] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[1191] Server: Sends the judgment result (correct answer) to the user's device.

[1192] Terminal: Show the user "Correct!"

[1193] Specific examples

[1194] If the user types the letter "B", the following happens:

[1195] 1. The user enters the alphabet

[1196] User: The user enters "B" into the input field on the terminal and clicks the send button.

[1197] 2. Get the words and visual diagrams that correspond to the alphabet

[1198] Terminal: Send the entered alphabet "B" to the server.

[1199] Server: Queries the database using the received alphabet "B" to retrieve the corresponding English word "Ball" and its visual diagram.

[1200] 3. Generate multiple choice questions

[1201] Server: Provide the correct word "Ball" and its visual diagram as the first choice.

[1202] Server: Randomly retrieve another word and visual image (e.g., "Cat") from the database and provide it as a second choice.

[1203] Server: Generate a multiple choice question like this:

[1204] Which of the following is an illustration of Ball?

[1205] 1. [Ball illustration]

[1206] 2. [Cat illustration]

[1207] 4. Send the generated questions to the user's device

[1208] Server: Sends the generated multiple-choice questions to the device.

[1209] 5. Display the question and have the user answer it

[1210] Terminal: Display the problem to the user:

[1211] Which of the following is an illustration of Ball?

[1212] 1. [Ball illustration]

[1213] 2. [Cat illustration]

[1214] User: Click or tap on option 1.

[1215] 6. Send the user's choice to the server

[1216] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1217] 7. Evaluate the user's answer and notify them of the result

[1218] Server: Receives the user's choice and evaluates whether it is correct.

[1219] Server: Option 1 is "Ball", so it is determined to be the correct answer.

[1220] Server: Sends the judgment result (correct answer) to the user's device.

[1221] Terminal: Show the user "Correct!"

[1222] In this way, the system according to the present invention allows users to intuitively learn English words and their visual images, and allows users to enjoy learning together with their families.

[1223] The processing flow will be explained below.

[1224] Step 1:

[1225] The user enters alphabets into the input field of the terminal and presses the send button.

[1226] Step 2:

[1227] The terminal sends the alphabet entered by the user to the server.

[1228] Step 3:

[1229] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[1230] Step 4:

[1231] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[1232] Step 5:

[1233] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[1234] Step 6:

[1235] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1236] Step 7:

[1237] The server generates multiple choice questions and sends them to the terminal.

[1238] Step 8:

[1239] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1240] Step 9:

[1241] The user clicks or taps on an option. For example, they select option 1.

[1242] Step 10:

[1243] The device sends the user's selection (e.g., option 1) to the server.

[1244] Step 11:

[1245] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[1246] Step 12:

[1247] The server sends the judgment result (correct answer) to the terminal.

[1248] Step 13:

[1249] The device displays the received result to the user, for example, "That's right!"

[1250] This process allows users to learn English through the entire system, from entering the alphabet to checking the results.

[1251] Example 1

[1252] 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."

[1253] In English learning for young children, there is a lack of ways to learn words and their visual images in a fun way. Furthermore, there are few functions for tracking learning progress, making it difficult to provide efficient learning support.

[1254] 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.

[1255] In this invention, the server includes input means for a user to input alphabets, means for retrieving words corresponding to the alphabets and their visual illustrations from a database, means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions, means for transmitting the generated multiple-choice questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, means for randomly selecting correct word-illustration pairs according to the alphabets input by the user, and means for accumulating answer history and tracking the user's learning progress. This enables the user to visually learn the meanings of words while efficiently tracking their learning progress.

[1256] "Input means" refers to a device or software that allows a user to input alphabetic characters.

[1257] A "database" is an information system for storing and managing words and their visual representations.

[1258] A "word-picture pair" is a combination of a particular word and a picture that visually represents that word.

[1259] A multiple choice question is a question that requires you to choose one correct answer from two options.

[1260] "Transmission means" refers to a function for sending the generated multiple-choice questions and judgment results to the user's device.

[1261] The "determination means" is a function for evaluating whether the user's answer is correct or incorrect.

[1262] A "random selection method" is a function for randomly selecting one option from multiple options.

[1263] "Answer history" refers to a collection of records of past answers given by a user.

[1264] "Means for tracking learning progress" refers to functions for recording and analyzing a user's learning status and managing progress.

[1265] This invention is an English learning system for young children, and is implemented using the following hardware and software. The hardware used is a user's device (such as a PC, tablet, or smartphone) and a server. As for the software, a web browser and an interface scripting language (e.g., JavaScript) are used for operation on the device, and a database management system (e.g., MySQL) and server-side scripts (e.g., Python) are used on the server side.

[1266] An input field on the device is provided as an input means for the user to enter English alphabets. When the user enters an alphabet (e.g., "A") and clicks submit, the device sends this input to the server. The server queries a database based on the received alphabet and retrieves the corresponding word "Apple" and its visual illustration. The server uses this word-illustration pair to generate the first option, and then randomly extracts another word and illustration (e.g., "Banana") from the database to generate another option. This creates a multiple-choice question.

[1267] The generated multiple-choice questions are sent from the server to the device, which then displays the questions to the user. When the user selects an answer, the device sends that choice to the server. The server evaluates whether the user's choice is correct or incorrect and notifies the user's device of the result. The notification result is displayed on the device as a message saying "That's correct!" During this process, the server accumulates the user's answer history and has the ability to track their learning progress.

[1268] Here are some examples of prompts for generative AI models:

[1269] Generate a program that explains what happens when the user types the letter "A." Explain the steps below:

[1270] 1. The user enters the alphabet

[1271] 2. Get the words and visual diagrams that correspond to the alphabet

[1272] 3. Generate multiple choice questions

[1273] 4. Send the generated questions to the user's device

[1274] 5. Display the question and have the user answer it

[1275] 6. Send the user's choice to the server

[1276] 7. Evaluate the user's answer and notify them of the result

[1277] This system allows young children to intuitively learn words and their visual images, and allows parents and children to enjoy learning together.In addition, the system's answer history and learning progress tracking functions make it possible to efficiently progress through learning while checking the results of learning.

[1278] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1279] Step 1:

[1280] The user enters an alphabet

[1281] User: Enter an English alphabet (e.g., "A") into the input field on the terminal and click the send button.

[1282] Specific actions: Enter the alphabet using the keyboard and click the send button using the mouse or touch screen.

[1283] Input: Alphabet "A"

[1284] Output: A send event is triggered.

[1285] Step 2:

[1286] Get the words and visual diagrams that correspond to the alphabet

[1287] Terminal: Send the entered alphabet "A" to the server.

[1288] Specific actions: Pressing the Enter key or using a touchscreen to confirm input; forming and sending an HTTP request.

[1289] Input: Alphabet "A"

[1290] Output: HTTP requests containing the letter "A"

[1291] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[1292] Specific operation: Executes an SQL query against the MySQL database and retrieves the target records.

[1293] Input: HTTP request containing the letter "A"

[1294] Output: The word "Apple" and its visual diagram

[1295] Step 3:

[1296] Generate multiple choice questions

[1297] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[1298] What it does: Gets the image files associated with "Apple" and formats them as options.

[1299] Input: The word "Apple" and its visual illustration

[1300] Output: Generate option 1

[1301] Server: Randomly retrieve another word and picture from the database (e.g., "Banana") and provide it as the second option.

[1302] What it does: Executes a random SQL query to retrieve different records.

[1303] Input: Database

[1304] Output: The word "Banana" and its visual illustration

[1305] Server: Generate a multiple choice question like this:

[1306] Which of the following is an illustration of Apple?

[1307] 1. [Apple illustration]

[1308] 2. [Banana illustration]

[1309] Specific behavior: Generates a question in HTML format.

[1310] Input: Choice 1 and Choice 2

[1311] Output: Multiple choice text

[1312] Step 4:

[1313] Send the generated questions to the user's device

[1314] Server: Sends the generated multiple-choice questions to the user's device.

[1315] Specific operation: Forms an HTTP response and sends it back to the device.

[1316] Input: Multiple choice text

[1317] Output: HTTP response

[1318] Step 5:

[1319] Display the question and have the user answer it

[1320] Terminal: Display the problem to the user:

[1321] Which of the following is an illustration of Apple?

[1322] 1. [Apple illustration]

[1323] 2. [Banana illustration]

[1324] What it does: Use a browser to view the issue in HTML / CSS.

[1325] Input: HTTP response containing text in multiple choice format

[1326] Output: Browser screen display

[1327] User: Click or tap on option 1.

[1328] Specific action: Select an option using a mouse click or touch screen.

[1329] Input: Click or tap action

[1330] Output: Selection data

[1331] Step 6:

[1332] Send the user's selection to the server

[1333] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1334] Specific behavior: Forms an HTTP request and sends the selected data.

[1335] Input: Selection data

[1336] Output: HTTP request containing the selection data

[1337] Step 7:

[1338] Evaluate the user's answer and notify them of the result

[1339] Server: Evaluates the user's choice and determines whether it is correct.

[1340] Specific operation: Compare the received selection data with the correct answer data and evaluate.

[1341] Input: Selection data

[1342] Output: Evaluation result

[1343] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[1344] Specific operation: Determine whether the correct answer conditions are met.

[1345] Input: Selection data

[1346] Output: Correct flag

[1347] Server: Sends the judgment result (correct answer) to the user's device.

[1348] Specific operation: Create an HTTP response containing the judgment result and return it to the terminal.

[1349] Input: Correct flag

[1350] Output: HTTP response containing the verdict

[1351] Terminal: Show the user "Correct!"

[1352] Specific behavior: Display a message in the browser.

[1353] Input: HTTP response containing the judgment result

[1354] Output: Screen displays "Correct!"

[1355] (Application example 1)

[1356] 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."

[1357] Previous English learning systems for young children were primarily used at home, which limited the scope of learning. They also lacked interactive elements that allowed young children to actively participate in the learning environment, making it difficult to maintain their interest. Furthermore, there was a lack of learning opportunities linked to specific activities, creating a need for a means to provide English learning experiences in real-life environments.

[1358] 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.

[1359] In this invention, the server includes a reading means for a user to scan a QR code, a means for querying corresponding words and visual diagrams based on the alphabet obtained from the read QR code, and a user interface means for displaying quizzes, allowing users to generate questions using QR codes installed at specific locations in the store and learn English vocabulary in a realistic environment.

[1360] A "user" is a person who uses the system to study English.

[1361] "Alphabet" refers to the English alphabet, including the 26 letters A through Z.

[1362] "Input means" refers to an interface through which a user inputs alphabets, and includes a keyboard and a touch screen.

[1363] A "database" is an information storage that stores words and visual diagrams that correspond to the alphabet.

[1364] To "query" means to search and retrieve specific information from a database.

[1365] The "means for generating multiple-choice questions" is a function that creates questions with two options using the correct word-picture pair and another random word-picture pair.

[1366] "Transmitting means" is a function for transmitting generated questions and assessment results to the user's device.

[1367] A "QR code" is a two-dimensional barcode for encoding information.

[1368] "Reading means" refers to a device or function for scanning QR codes, including a smartphone camera.

[1369] A "user interface" is a screen or operating means by which a user interacts with a system.

[1370] "Specific location within the store" refers to an area within the physical retail facility that is associated with a particular product or category.

[1371] The "means for determining the answer" is a function for determining whether the answer selected by the user is correct or incorrect.

[1372] "Storing history" means recording the user's past answers and learning progress.

[1373] "Means for tracking progress" is a function for tracking and evaluating a user's learning progress.

[1374] This invention is a system for children to learn English together with their parents in a brick-and-mortar store, where users can answer English vocabulary quizzes by scanning QR codes installed in specific locations within the store. A specific embodiment of this system will be described below.

[1375] Hardware and software used

[1376] Hardware

[1377] Smartphone: A device used to scan the QR code and view the quiz.

[1378] QR Code: A means of encoding information placed at specific locations within a store.

[1379] software

[1380] QR code library (e.g. ZXing): A library for decoding QR codes using a smartphone camera.

[1381] Server (e.g. Firebase): A server for storing the words corresponding to the alphabet and their visual diagrams.

[1382] Database (e.g. Firestore): A database for storing word data and image data.

[1383] UI framework (e.g., Flutter): A framework for building user interfaces.

[1384] System processing description

[1385] Scanning the QR code

[1386] A user uses the camera function of their smartphone to scan a QR code installed in a store. The QR code is decoded using the smartphone's QR code library (e.g., ZXing) to obtain specific alphabetic information.

[1387] Database queries and word retrieval

[1388] The acquired alphabet information is sent from the smartphone to a server (e.g., Firebase), which then queries a database (e.g., Firestore) based on the received alphabet information to obtain the corresponding English words and their visual diagrams.

[1389] Generate multiple choice quizzes

[1390] The server generates a multiple-choice quiz based on the correct English word and visual image obtained. The other option is a randomly selected word and image from the database. For example, it could prepare "Teddy Bear" and a randomly selected image of "Toy."

[1391] View Quiz

[1392] The generated multiple-choice quiz is sent from the server to the smartphone and displayed to the user through a user interface (for example, built with Flutter). The user selects the correct answer from the displayed options and submits the answer.

[1393] Answer evaluation and feedback

[1394] The user's answer is sent to the server, which determines whether it is correct or incorrect. If it is determined to be correct, the server generates a feedback message saying "That's correct!" and sends it to the smartphone. The user interface displays this feedback message to the user.

[1395] Examples and prompts

[1396] Specific examples

[1397] For example, if a user scans a QR code for a stuffed animal section, the QR code will encode a "T" and the system will retrieve the word "Teddy Bear" and a visual image. It will also retrieve the random word "Toy" and its image and generate the following multiple-choice question:

[1398] "Which of these is an illustration of Teddy Bear?"

[1399] 1. [Teddy Bear illustration]

[1400] 2. [Toy illustration]

[1401] If the user selects "Teddy Bear illustration," the server determines that it is the correct answer and provides feedback saying, "That's right!"

[1402] Prompt Sentence Examples

[1403] python

[1404] def prompt_for_english_quiz(qr_code_data):

[1405] """

[1406] A function that generates English vocabulary quizzes based on data read from QR codes

[1407] """

[1408] Get the alphabet from a QR code

[1409] alphabet = decode_qr_code(qr_code_data)

[1410] Send the alphabet to the server and get related English words and pictures

[1411] correct_word, correct_image, random_word, random_image = query_server_for_quiz(alphabet)

[1412] Generate multiple choice questions

[1413] quiz_question = f"Which of the following is an illustration of {correct_word}?"

[1414] options = [

[1415] {"word": correct_word, "image": correct_image},

[1416] {"word": random_word, "image": random_image}

[1417] ]

[1418] Present the problem to the user

[1419] display_quiz(quiz_question, options)

[1420] Get the answer

[1421] user_answer = get_user_answer()

[1422] Send your answers to the server for evaluation

[1423] result = evaluate_answer(user_answer, correct_word)

[1424] Notification of results

[1425] provide_feedback(result)

[1426] In this way, the system provides an environment where parents and children can have fun learning English vocabulary in a physical store.

[1427] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1428] Step 1:

[1429] A user uses the camera on their smartphone to scan a QR code installed in a store. The input is the QR code image, and the output is the decoded alphabetic information. This decoding process is performed using the smartphone's QR code library (e.g., ZXing).

[1430] Step 2:

[1431] The terminal sends the decoded alphabet information to the server. The input is the alphabet information (e.g., "T"), and the server receives this information and proceeds to the next step.

[1432] Step 3:

[1433] Based on the received alphabet information, the server queries a database (e.g., Firestore) to retrieve the corresponding English word and its visual illustration. The input is alphabet information, and the output is the URL of the English word (e.g., "Teddy Bear") and its visual illustration.

[1434] Step 4:

[1435] The server simultaneously randomly retrieves another English word and its visual illustration from the database. The input is the trigger for random selection, and the output is the URL of a random English word (e.g., "Toy") and its visual illustration.

[1436] Step 5:

[1437] The server generates a multiple-choice quiz using the correct word and picture, as well as another randomly chosen word and picture. The input is two English words and the URL of their respective pictures, and the output is in the form of a quiz (e.g., "Which of the following is an illustration of Teddy Bear? 1. [Illustration of Teddy Bear] 2. [Illustration of Toy]").

[1438] Step 6:

[1439] The server generates a multiple-choice quiz and sends it to the device. The input is quiz-format data, and the output is the quiz screen displayed on the smartphone.

[1440] Step 7:

[1441] The user selects the correct answer from the displayed quiz and submits the answer. The input is the user's choice (e.g., option 1) and is sent from the device to the server.

[1442] Step 8:

[1443] The server receives the user's answer and determines whether it is correct or incorrect. The input is the user's answer, and the output is the result of the determination (e.g., correct answer).

[1444] Step 9:

[1445] The server sends the result of the judgment to the terminal and generates a feedback message. The input is the judgment result, and the output is the feedback message (e.g., "Correct!").

[1446] Step 10:

[1447] The terminal displays the received feedback message to the user. The input is the feedback message, and the output is the message displayed on the screen.

[1448] 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.

[1449] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[1450] The system includes the following elements:

[1451] 1. Input Method

[1452] The user enters alphabets into the input field of the terminal and presses the send button.

[1453] 2. A means of retrieving the corresponding words and visual diagrams from the database

[1454] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[1455] 3. Methods for generating multiple-choice questions

[1456] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[1457] The server generates multiple choice questions and sends them to the user's device.

[1458] 4. Means for sending generated questions to the user's device

[1459] The terminal displays the received multiple-choice questions to the user.

[1460] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[1461] The server receives the user's answer and determines whether it is correct or incorrect.

[1462] The determination result is sent to the user's device.

[1463] 6. Emotion engine that recognizes user emotions

[1464] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[1465] Adjust learning content and feedback based on emotional assessment results.

[1466] Program processing

[1467] The specific processing of the system is explained in natural language below:

[1468] 1. The user enters the alphabet

[1469] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[1470] 2. Get the words and visual diagrams that correspond to the alphabet

[1471] Terminal: Send the entered alphabet "A" to the server.

[1472] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[1473] 3. Generate multiple choice questions

[1474] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[1475] Server: Randomly select another word and picture from the database and provide it as a second choice. For example, prepare "Banana" and its illustration.

[1476] Server: Generate a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]".

[1477] 4. Send the generated questions to the user's device

[1478] Server: Sends the generated multiple-choice questions to the device.

[1479] 5. Display the question and have the user answer it

[1480] Device: Show the user the following question: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1481] User: For example, the user selects option 1 and clicks or taps.

[1482] 6. Send the user's choice to the server

[1483] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1484] 7. Evaluate the user's answer and notify them of the result

[1485] Server: Receives the user's choice and evaluates whether it is correct. Since option 1 is "Apple," it is determined to be the correct answer.

[1486] Server: Sends the judgment result (correct answer) to the user's device.

[1487] Terminal: Show the user "Correct!"

[1488] Examples of emotion engines

[1489] 1. Emotion recognition

[1490] Device: When the user answers a multiple-choice question, a camera captures the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions.

[1491] 2. Emotional assessment

[1492] Server: The emotion engine evaluates the user's emotional state (e.g., joy, interest, confusion, etc.).

[1493] 3. Adjusting learning content

[1494] Server: Based on the emotion evaluation results, if the user's emotional state is good, the next question will be made slightly more difficult. Conversely, if the user is confused, the question will be made easier or additional explanations will be displayed.

[1495] 4. Providing Feedback

[1496] Server: Sends specific feedback messages to the device based on the emotion evaluation results, such as "That was fun! Let's try harder next time!"

[1497] In this way, incorporating an emotional engine can provide a flexible learning experience that adapts to the user's emotional state, making English learning more effective and enjoyable.

[1498] The processing flow will be explained below.

[1499] Step 1:

[1500] The user enters alphabets into the input field of the terminal and presses the send button.

[1501] Step 2:

[1502] The terminal sends the alphabet entered by the user to the server.

[1503] Step 3:

[1504] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[1505] Step 4:

[1506] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[1507] Step 5:

[1508] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[1509] Step 6:

[1510] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1511] Step 7:

[1512] The server generates multiple choice questions and sends them to the terminal.

[1513] Step 8:

[1514] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1515] Step 9:

[1516] The user clicks or taps on an option. For example, they select option 1.

[1517] Step 10:

[1518] The device sends the user's selection (e.g., option 1) to the server.

[1519] Step 11:

[1520] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[1521] Step 12:

[1522] The server sends the judgment result (correct answer) to the terminal.

[1523] Step 13:

[1524] The device displays the received result to the user, for example, "That's right!"

[1525] Step 14:

[1526] The device captures the user's facial expression with a camera and sends the image data to a server.

[1527] Step 15:

[1528] The server uses an emotion engine to analyze the transmitted image data and evaluate the user's emotional state. For example, the emotion engine detects "joy" from the user's facial expression.

[1529] Step 16:

[1530] The server adjusts the learning content based on the emotion evaluation results. For example, if the user is in a "happy" state, the next question will be made a little more difficult.

[1531] Step 17:

[1532] The server generates the next adjusted problem and sends it to the terminal.

[1533] Step 18:

[1534] The device then displays the next question to the user. By repeating this process, a flexible learning environment can be provided that adapts to the user's emotional state.

[1535] Example 2

[1536] 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."

[1537] In English learning systems for young children, the challenge is to provide a more effective and enjoyable learning environment by adjusting the learning experience according to the user's emotional state, rather than simply presenting learning content. In particular, it is necessary to properly determine when the user loses interest in learning or becomes confused, and provide appropriate feedback and support.

[1538] 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.

[1539] In this invention, the server includes input means for a user to input alphabets, means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database, means for generating multiple-choice questions by preparing correct word-and-illustration pairs and random word-and-illustration pairs, means for transmitting the generated questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, emotion recognition means for analyzing the user's facial expressions with a camera and evaluating the user's emotional state, means for adjusting the difficulty of the next question based on the emotion evaluation result, and means for generating a feedback message based on the emotion evaluation result and transmitting it to the user's device. This makes it possible to adjust the learning content and feedback according to the user's emotional state.

[1540] "Input means" refers to an interface device that a user uses to input alphabetic characters.

[1541] A "database" refers to an information storage device that stores information such as words corresponding to the alphabet or visual diagrams.

[1542] A "query" refers to an inquiry to obtain specific information from a database.

[1543] A "multiple choice question" refers to a question format in which the user must select the correct answer from two options.

[1544] "User device" refers to an electronic device, such as a computer or tablet, that a user uses to access the system.

[1545] "Emotion recognition means" refers to an analysis device or software for analyzing a user's facial expressions and assessing their emotional state.

[1546] The "emotion evaluation result" is a result that is analyzed by the emotion recognition means and indicates the user's current emotional state (joy, interest, confusion, etc.).

[1547] A "feedback message" refers to a response message generated based on the user's behavior and emotional evaluation results.

[1548] "Study progress tracking means" refers to a device or software that accumulates a user's learning history and tracks the user's progress.

[1549] "Determination means" refers to the mechanism or algorithm used to determine whether a user's answer is correct or incorrect.

[1550] "Question generation means" refers to a device or software that generates multiple-choice questions by providing correct word-picture pairs and random word-picture pairs.

[1551] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[1552] The system includes the following elements:

[1553] 1. Input Method

[1554] The user enters alphabets into the input field of the terminal and presses the send button.

[1555] 2. A means of retrieving the corresponding words and visual diagrams from the database

[1556] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[1557] 3. Methods for generating multiple-choice questions

[1558] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[1559] The server generates multiple choice questions and sends them to the user's device.

[1560] 4. Means for sending generated questions to the user's device

[1561] The terminal displays the received multiple-choice questions to the user.

[1562] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[1563] The server receives the user's answer and determines whether it is correct or incorrect.

[1564] The determination result is sent to the user's device.

[1565] 6. Emotion engine that recognizes user emotions

[1566] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[1567] Adjust learning content and feedback based on emotional assessment results.

[1568] Specifically, the user inputs the letter "A" and the device sends the input to the server. The server queries the database and retrieves "Apple" and its illustration. The server then randomly selects another word and illustration (e.g., "Banana") and generates a multiple-choice question. The question is presented to the user: "Which of the following is an illustration of an Apple?"

[1569] When the user clicks the correct option, the device sends the selection to the server, which determines whether the selection is correct or incorrect. If the selection is correct, the server sends feedback to the device saying "That's right!"

[1570] Furthermore, the emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. Based on this evaluation result, the server adjusts the difficulty of the next question or changes the feedback message. For example, if the user is confused, the server may simplify the next question or provide additional explanation.

[1571] Examples of concrete examples and prompts

[1572] Specific examples

[1573] If the user enters the letter "B":

[1574] The user enters the letter "B" into the input field of the terminal and clicks the send button.

[1575] The device sends the alphabet "B" to the server.

[1576] The server retrieves "Banana" and its illustration corresponding to "B."

[1577] The server randomly selects "Cat" and its illustration and generates a multiple-choice question.

[1578] The question presented to the user is, "Which of the following is an illustration of a banana?"

[1579] If the user selects the correct option, the device displays the message "Correct!"

[1580] Prompt Sentence Examples

[1581] "Users input an alphabet, generate multiple choice questions, and rate their answers. Use an emotion engine to assess the user's emotional state and provide feedback based on that."

[1582] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1583] Step 1:

[1584] User: The user types English alphabets into the input field of the terminal and clicks the send button.

[1585] Input: User's alphabetic input (e.g. "A")

[1586] Output: The alphabet sent to the terminal (e.g. "A")

[1587] Step 2:

[1588] Terminal: Sends the input alphabet to the server.

[1589] Input: The alphabet entered by the user (e.g. "A")

[1590] Output: The alphabet sent to the server (e.g. "A")

[1591] Step 3:

[1592] Server: Receives the alphabet, queries the database, and retrieves the corresponding English word and visual illustration. For example, for the letter "A," retrieves "Apple" and its illustration.

[1593] Input: The alphabet sent to the server (e.g. "A")

[1594] Data processing: Query the corresponding English word “Apple” and its visual illustration from the database.

[1595] Output: The corresponding English word (e.g. "Apple") and its visual diagram

[1596] Step 4:

[1597] Server: Provide the correct word "Apple" and picture as the first option, and randomly select another word and picture (e.g., "Banana") from the database as the second option.

[1598] Input: The correct word and its visual illustration, plus another random word and illustration.

[1599] Data processing: Formatting options to generate multiple choice questions.

[1600] Output: The generated multiple-choice question (e.g., "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]")

[1601] Step 5:

[1602] Server: Sends the generated multiple-choice questions to the user's device.

[1603] Input: Generated multiple choice questions

[1604] Output: Multiple choice questions sent to the user's device

[1605] Step 6:

[1606] Terminal: Receives multiple choice questions and displays them to the user.

[1607] Input: Multiple choice question sent from the server

[1608] Output: Multiple choice question displayed to the user.

[1609] Step 7:

[1610] User: Look at the question and choose the option they think is correct, for example, click or tap on option 1.

[1611] Input: Multiple choice question displayed on the screen

[1612] Output: User's selection information (e.g., option 1)

[1613] Step 8:

[1614] Terminal: Sends the user's selection to the server.

[1615] Input: User selection information (e.g., option 1)

[1616] Output: User selections sent to the server

[1617] Step 9:

[1618] Server: Evaluates whether the received user choice is correct or incorrect. For example, if option 1 is correct, it is determined to be "correct."

[1619] Input: User selection information (e.g., option 1)

[1620] Data calculation: Evaluate whether the received answer is correct.

[1621] Output: Judgment result (e.g., correct answer)

[1622] Step 10:

[1623] Server: Sends the judgment result to the user's device.

[1624] Input: Judgment result (e.g., correct answer)

[1625] Output: The result of the test sent to the user's device.

[1626] Step 11:

[1627] Terminal: Display the result to the user, for example, a message like "Correct!"

[1628] Input: Judgment result sent from the server (e.g., correct answer)

[1629] Output: The result displayed on the screen (e.g., "Correct!")

[1630] Step 12:

[1631] Device: While the user is answering the questions, the camera captures the user's facial expressions.

[1632] Input: User's face image

[1633] Output: Facial image data sent to the server

[1634] Step 13:

[1635] Server: The emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. For example, if the user is smiling, it will be evaluated as "joy."

[1636] Input: Face image data

[1637] Data arithmetic: Analysis by emotion recognition algorithms

[1638] Output: Emotion evaluation result (e.g., joy)

[1639] Step 14:

[1640] Server: Adjust the difficulty of the next question based on the emotion evaluation result. For example, if the user is confused, make the next question easier.

[1641] Input: Emotion evaluation result

[1642] Data processing: Adjusting the difficulty of questions

[1643] Output: Adjusted next problem

[1644] Step 15:

[1645] Server: Generates a feedback message based on the emotion evaluation results and sends it to the user's device. For example, it generates a message such as "That was fun! Let's do our best next time!"

[1646] Input: Emotion evaluation result

[1647] Data processing: generating feedback messages

[1648] Output: Feedback messages sent to the terminal

[1649] Step 16:

[1650] Terminal: Display a feedback message to the user, for example, "That was fun! Let's try harder next time!"

[1651] Input: Feedback message sent by the server

[1652] Output: Feedback messages displayed on the screen

[1653] (Application example 2)

[1654] 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."

[1655] Existing English learning systems for young children have difficulty sustaining children's motivation to learn, making it difficult for parents and children to enjoy learning together. Furthermore, they lack the ability to properly grasp children's emotional state during learning and dynamically adjust the learning content accordingly, making it difficult for them to learn effectively.

[1656] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an emotion engine means for recognizing a user's emotions in real time and adjusting learning content based on the recognized emotional state; an input means for the user to input alphabets; a means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database; a means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions; a means for transmitting the generated questions to the user's device; a means for receiving the user's answers and determining whether the answers are correct or incorrect; and a means for transmitting the determination result to the user's device. This enables the learning system to grasp a child's emotional state in real time and provide flexible learning content according to that state.

[1657] "Input means" refers to a device or function that allows a user to input alphabets into a terminal.

[1658] A "database" is a collection of information that stores simple words and their visual representations corresponding to the alphabet.

[1659] The "means for generating multiple-choice questions" is a device or function that prepares correct word-picture pairs and other random word-picture pairs to create multiple-choice questions.

[1660] A "user device" is a computer, smartphone, tablet, or other terminal that a user uses to enjoy a learning experience.

[1661] The "emotion engine means" is a device or function for recognizing the user's emotions in real time and adjusting the learning content based on the user's emotional state.

[1662] A "means for determining whether an answer is correct or incorrect" is a device or function that receives the user's answer and evaluates whether it is correct.

[1663] The "means for transmitting the evaluation result" is a device or function that transmits the evaluation result to the user's device.

[1664] The present invention is an English learning system for young children that is designed to allow parents and children to learn English words and their visual images while having fun. This system can be effectively used in brick-and-mortar stores, especially edutainment facilities.

[1665] A system for implementing the invention includes the following elements:

[1666] 1. Input Method

[1667] The user inputs the alphabet using a smartphone app, which is then sent from the device to the server.

[1668] 2. A means of retrieving the corresponding words and visual diagrams from the database

[1669] The server receives the input alphabet and retrieves the corresponding simple English word and its visual illustration from the database. For example, if "A" is input, the server retrieves "Apple" and its illustration from the database.

[1670] 3. Methods for generating multiple-choice questions

[1671] The server prepares the correct word and picture pair as the first choice and another randomly selected word and picture pair as the second choice, for example, "Apple" and "Banana." This generates a multiple-choice question.

[1672] 4. Means for sending generated questions to the user's device

[1673] The server sends the generated multiple-choice questions to the user's smartphone, which displays the prompt, "Which of the following is an illustration of Apple?"

[1674] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[1675] The user selects one of the options on their smartphone and sends it to the server. The server receives the answer and determines whether it is correct or incorrect. For example, if the user selects "Apple," it is determined to be the correct answer.

[1676] 6. Means for transmitting the judgment result to the user's device

[1677] The server sends the result of the judgment to the user's device, and the user's device displays feedback saying "That's correct!"

[1678] 7. Emotional Engine Means

[1679] When the user selects an option, the device uses a camera to capture the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions. Based on the emotion evaluation results, the server adjusts the difficulty of the next question if the user's emotional state is good. For example, if the user is happy, the server displays a message saying, "Let's try harder next time!"

[1680] The following specific hardware and software are used to implement the program of this system:

[1681] Hardware: smartphones, tablets, servers, cameras

[1682] Software: OpenCV, EmotionRecognizer library, database system

[1683] Specific examples

[1684] When a user types "A" into their smartphone, the input is sent to the server. The server retrieves "Apple" and its visual image from the database and generates a multiple-choice question containing another randomly selected word, "Banana," and its image. The generated question is sent to the user's smartphone, where the user looks at the question and makes a choice. After deciding on a choice, the smartphone camera captures the user's facial expression, which is analyzed by the emotion engine. Based on the analysis results, the server adjusts the difficulty of the next question and the feedback message.

[1685] Prompt Sentence Examples

[1686] "Enter alphabet: A"

[1687] "Which of the following is an illustration of an Apple? 1. Apple 2. Banana"

[1688] "That's correct! Let's try harder next time!"

[1689] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1690] Step 1:

[1691] The user enters alphabets into the input field of the smartphone app and presses the send button. This input is sent from the device to the server. The input is alphabets, and the output is the data sent to the server.

[1692] Step 2:

[1693] The server queries the database based on the received alphabet and retrieves the corresponding English word and visual illustration from the database. The input is the alphabet, and the output retrieved from the database is the English word "Apple" and its illustration.

[1694] Step 3:

[1695] The server provides a correct word and picture pair (e.g., "Apple" and its illustration) as the first choice, and a randomly chosen word and picture (e.g., "Banana" and its illustration) as the second choice, generating a multiple-choice question. The input is an English word and a visual picture, and the output is a multiple-choice question.

[1696] Step 4:

[1697] The server sends the generated multiple-choice question to the user's device, which displays the prompt "Which of the following is an illustration of Apple?" The input is the multiple-choice question, and the output is the data sent to the user's device.

[1698] Step 5:

[1699] The user looks at a multiple-choice question displayed on the smartphone screen, selects one of the options, and presses the send button. This selection is sent from the device to the server. The input is the user's choice, and the output is the data sent to the server.

[1700] Step 6:

[1701] The server receives the user's answer and determines whether it is correct or incorrect. For example, it determines that "Apple" is correct and "Banana" is incorrect. The input is the user's choice, and the output is the correct / incorrect result.

[1702] Step 7:

[1703] The server sends the judgment result to the user's terminal. A feedback message such as "Correct!" or "Incorrect" is displayed on the user's terminal. The input is the judgment result, and the output is the data sent to the user's terminal.

[1704] Step 8:

[1705] When the user selects an option, the device captures a picture of the user's face with a camera, and the emotion engine analyzes the facial expression to recognize the emotion. The input is the user's face captured by the camera, and the output is the recognized emotion data.

[1706] Step 9:

[1707] Based on the emotion evaluation results, the server adjusts the problem by making the next question slightly more difficult if the user's emotional state is good. Conversely, if the user is confused, it makes the question easier or displays additional explanation. The input is the recognized emotion data, and the output is the adjusted learning content.

[1708] In this way, the systems work together to make the user's learning experience both effective and enjoyable.

[1709] 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.

[1710] 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.

[1711] 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.

[1712] [Fourth embodiment]

[1713] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1714] 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.

[1715] 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).

[1716] 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.

[1717] 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.

[1718] 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).

[1719] 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. 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.

[1720] 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.

[1721] 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.

[1722] 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.

[1723] 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.

[1724] 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.

[1725] 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."

[1726] The present invention relates to an English learning system for young children, designed to allow parents and children to learn English words and their visual images while having fun. The system includes an input means for a user to input alphabets, a means for retrieving corresponding words and visual images from a database, a means for generating and presenting multiple-choice questions, a means for evaluating the user's answers, and a means for notifying the user of the evaluation results.

[1727] Program processing

[1728] 1. The user enters the alphabet

[1729] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[1730] 2. Get the words and visual diagrams that correspond to the alphabet

[1731] Terminal: Send the entered alphabet "A" to the server.

[1732] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[1733] 3. Generate multiple choice questions

[1734] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[1735] Server: Randomly retrieve another word and visual image (e.g., "Banana") from the database and provide it as a second choice.

[1736] Server: Generate a multiple choice question like this:

[1737] Which of the following is an illustration of Apple?

[1738] 1. [Apple illustration]

[1739] 2. [Banana illustration]

[1740] 4. Send the generated questions to the user's device

[1741] Server: Sends the generated multiple-choice questions to the device.

[1742] 5. Display the question and have the user answer it

[1743] Terminal: Display the problem to the user:

[1744] Which of the following is an illustration of Apple?

[1745] 1. [Apple illustration]

[1746] 2. [Banana illustration]

[1747] User: For example, the user selects option 1 and clicks or taps.

[1748] 6. Send the user's choice to the server

[1749] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1750] 7. Evaluate the user's answer and notify them of the result

[1751] Server: Receives the user's choice and evaluates whether it is correct.

[1752] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[1753] Server: Sends the judgment result (correct answer) to the user's device.

[1754] Terminal: Show the user "Correct!"

[1755] Specific examples

[1756] If the user types the letter "B", the following happens:

[1757] 1. The user enters the alphabet

[1758] User: The user enters "B" into the input field on the terminal and clicks the send button.

[1759] 2. Get the words and visual diagrams that correspond to the alphabet

[1760] Terminal: Send the entered alphabet "B" to the server.

[1761] Server: Queries the database using the received alphabet "B" to retrieve the corresponding English word "Ball" and its visual diagram.

[1762] 3. Generate multiple choice questions

[1763] Server: Provide the correct word "Ball" and its visual diagram as the first choice.

[1764] Server: Randomly retrieve another word and visual image (e.g., "Cat") from the database and provide it as a second choice.

[1765] Server: Generate a multiple choice question like this:

[1766] Which of the following is an illustration of Ball?

[1767] 1. [Ball illustration]

[1768] 2. [Cat illustration]

[1769] 4. Send the generated questions to the user's device

[1770] Server: Sends the generated multiple-choice questions to the device.

[1771] 5. Display the question and have the user answer it

[1772] Terminal: Display the problem to the user:

[1773] Which of the following is an illustration of Ball?

[1774] 1. [Ball illustration]

[1775] 2. [Cat illustration]

[1776] User: Click or tap on option 1.

[1777] 6. Send the user's choice to the server

[1778] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1779] 7. Evaluate the user's answer and notify them of the result

[1780] Server: Receives the user's choice and evaluates whether it is correct.

[1781] Server: Option 1 is "Ball", so it is determined to be the correct answer.

[1782] Server: Sends the judgment result (correct answer) to the user's device.

[1783] Terminal: Show the user "Correct!"

[1784] In this way, the system according to the present invention allows users to intuitively learn English words and their visual images, and allows users to enjoy learning together with their families.

[1785] The processing flow will be explained below.

[1786] Step 1:

[1787] The user enters alphabets into the input field of the terminal and presses the send button.

[1788] Step 2:

[1789] The terminal sends the alphabet entered by the user to the server.

[1790] Step 3:

[1791] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[1792] Step 4:

[1793] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[1794] Step 5:

[1795] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[1796] Step 6:

[1797] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1798] Step 7:

[1799] The server generates multiple choice questions and sends them to the terminal.

[1800] Step 8:

[1801] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[1802] Step 9:

[1803] The user clicks or taps on an option. For example, they select option 1.

[1804] Step 10:

[1805] The device sends the user's selection (e.g., option 1) to the server.

[1806] Step 11:

[1807] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[1808] Step 12:

[1809] The server sends the judgment result (correct answer) to the terminal.

[1810] Step 13:

[1811] The device displays the received result to the user, for example, "That's right!"

[1812] This process allows users to learn English through the entire system, from entering the alphabet to checking the results.

[1813] Example 1

[1814] 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."

[1815] In English learning for young children, there is a lack of ways to learn words and their visual images in a fun way. Furthermore, there are few functions for tracking learning progress, making it difficult to provide efficient learning support.

[1816] 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.

[1817] In this invention, the server includes input means for a user to input alphabets, means for retrieving words corresponding to the alphabets and their visual illustrations from a database, means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions, means for transmitting the generated multiple-choice questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, means for randomly selecting correct word-illustration pairs according to the alphabets input by the user, and means for accumulating answer history and tracking the user's learning progress. This enables the user to visually learn the meanings of words while efficiently tracking their learning progress.

[1818] "Input means" refers to a device or software that allows a user to input alphabetic characters.

[1819] A "database" is an information system for storing and managing words and their visual representations.

[1820] A "word-picture pair" is a combination of a particular word and a picture that visually represents that word.

[1821] A multiple choice question is a question that requires you to choose one correct answer from two options.

[1822] "Transmission means" refers to a function for sending the generated multiple-choice questions and judgment results to the user's device.

[1823] The "determination means" is a function for evaluating whether the user's answer is correct or incorrect.

[1824] A "random selection method" is a function for randomly selecting one option from multiple options.

[1825] "Answer history" refers to a collection of records of past answers given by a user.

[1826] "Means for tracking learning progress" refers to functions for recording and analyzing a user's learning status and managing progress.

[1827] This invention is an English learning system for young children, and is implemented using the following hardware and software. The hardware used is a user's device (such as a PC, tablet, or smartphone) and a server. As for the software, a web browser and an interface scripting language (e.g., JavaScript) are used for operation on the device, and a database management system (e.g., MySQL) and server-side scripts (e.g., Python) are used on the server side.

[1828] An input field on the device is provided as an input means for the user to enter English alphabets. When the user enters an alphabet (e.g., "A") and clicks submit, the device sends this input to the server. The server queries a database based on the received alphabet and retrieves the corresponding word "Apple" and its visual illustration. The server uses this word-illustration pair to generate the first option, and then randomly extracts another word and illustration (e.g., "Banana") from the database to generate another option. This creates a multiple-choice question.

[1829] The generated multiple-choice questions are sent from the server to the device, which then displays the questions to the user. When the user selects an answer, the device sends that choice to the server. The server evaluates whether the user's choice is correct or incorrect and notifies the user's device of the result. The notification result is displayed on the device as a message saying "That's correct!" During this process, the server accumulates the user's answer history and has the ability to track their learning progress.

[1830] Here are some examples of prompts for generative AI models:

[1831] Generate a program that explains what happens when the user types the letter "A." Explain the steps below:

[1832] 1. The user enters the alphabet

[1833] 2. Get the words and visual diagrams that correspond to the alphabet

[1834] 3. Generate multiple choice questions

[1835] 4. Send the generated questions to the user's device

[1836] 5. Display the question and have the user answer it

[1837] 6. Send the user's choice to the server

[1838] 7. Evaluate the user's answer and notify them of the result

[1839] This system allows young children to intuitively learn words and their visual images, and allows parents and children to enjoy learning together.In addition, the system's answer history and learning progress tracking functions make it possible to efficiently progress through learning while checking the results of learning.

[1840] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1841] Step 1:

[1842] The user enters an alphabet

[1843] User: Enter an English alphabet (e.g., "A") into the input field on the terminal and click the send button.

[1844] Specific actions: Enter the alphabet using the keyboard and click the send button using the mouse or touch screen.

[1845] Input: Alphabet "A"

[1846] Output: A send event is triggered.

[1847] Step 2:

[1848] Get the words and visual diagrams that correspond to the alphabet

[1849] Terminal: Send the entered alphabet "A" to the server.

[1850] Specific actions: Pressing the Enter key or using a touchscreen to confirm input; forming and sending an HTTP request.

[1851] Input: Alphabet "A"

[1852] Output: HTTP requests containing the letter "A"

[1853] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[1854] Specific operation: Executes an SQL query against the MySQL database and retrieves the target records.

[1855] Input: HTTP request containing the letter "A"

[1856] Output: The word "Apple" and its visual diagram

[1857] Step 3:

[1858] Generate multiple choice questions

[1859] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[1860] What it does: Gets the image files associated with "Apple" and formats them as options.

[1861] Input: The word "Apple" and its visual illustration

[1862] Output: Generate option 1

[1863] Server: Randomly retrieve another word and picture from the database (e.g., "Banana") and provide it as the second option.

[1864] What it does: Executes a random SQL query to retrieve different records.

[1865] Input: Database

[1866] Output: The word "Banana" and its visual illustration

[1867] Server: Generate a multiple choice question like this:

[1868] Which of the following is an illustration of Apple?

[1869] 1. [Apple illustration]

[1870] 2. [Banana illustration]

[1871] Specific behavior: Generates a question in HTML format.

[1872] Input: Choice 1 and Choice 2

[1873] Output: Multiple choice text

[1874] Step 4:

[1875] Send the generated questions to the user's device

[1876] Server: Sends the generated multiple-choice questions to the user's device.

[1877] Specific operation: Forms an HTTP response and sends it back to the device.

[1878] Input: Multiple choice text

[1879] Output: HTTP response

[1880] Step 5:

[1881] Display the question and have the user answer it

[1882] Terminal: Display the problem to the user:

[1883] Which of the following is an illustration of Apple?

[1884] 1. [Apple illustration]

[1885] 2. [Banana illustration]

[1886] What it does: Use a browser to view the issue in HTML / CSS.

[1887] Input: HTTP response containing text in multiple choice format

[1888] Output: Browser screen display

[1889] User: Click or tap on option 1.

[1890] Specific action: Select an option using a mouse click or touch screen.

[1891] Input: Click or tap action

[1892] Output: Selection data

[1893] Step 6:

[1894] Send the user's selection to the server

[1895] Terminal: Sends the user's choice (e.g., option 1) to the server.

[1896] Specific behavior: Forms an HTTP request and sends the selected data.

[1897] Input: Selection data

[1898] Output: HTTP request containing the selection data

[1899] Step 7:

[1900] Evaluate the user's answer and notify them of the result

[1901] Server: Evaluates the user's choice and determines whether it is correct.

[1902] Specific operation: Compare the received selection data with the correct answer data and evaluate.

[1903] Input: Selection data

[1904] Output: Evaluation result

[1905] Server: Option 1 is "Apple", so it is determined to be the correct answer.

[1906] Specific operation: Determine whether the correct answer conditions are met.

[1907] Input: Selection data

[1908] Output: Correct flag

[1909] Server: Sends the judgment result (correct answer) to the user's device.

[1910] Specific operation: Create an HTTP response containing the judgment result and return it to the terminal.

[1911] Input: Correct flag

[1912] Output: HTTP response containing the verdict

[1913] Terminal: Show the user "Correct!"

[1914] Specific behavior: Display a message in the browser.

[1915] Input: HTTP response containing the judgment result

[1916] Output: Screen displays "Correct!"

[1917] (Application example 1)

[1918] 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."

[1919] Previous English learning systems for young children were primarily used at home, which limited the scope of learning. They also lacked interactive elements that allowed young children to actively participate in the learning environment, making it difficult to maintain their interest. Furthermore, there was a lack of learning opportunities linked to specific activities, creating a need for a means to provide English learning experiences in real-life environments.

[1920] 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.

[1921] In this invention, the server includes a reading means for a user to scan a QR code, a means for querying corresponding words and visual diagrams based on the alphabet obtained from the read QR code, and a user interface means for displaying quizzes, allowing users to generate questions using QR codes installed at specific locations in the store and learn English vocabulary in a realistic environment.

[1922] A "user" is a person who uses the system to study English.

[1923] "Alphabet" refers to the English alphabet, including the 26 letters A through Z.

[1924] "Input means" refers to an interface through which a user inputs alphabets, and includes a keyboard and a touch screen.

[1925] A "database" is an information storage that stores words and visual diagrams that correspond to the alphabet.

[1926] To "query" means to search and retrieve specific information from a database.

[1927] The "means for generating multiple-choice questions" is a function that creates questions with two options using the correct word-picture pair and another random word-picture pair.

[1928] "Transmitting means" is a function for transmitting generated questions and assessment results to the user's device.

[1929] A "QR code" is a two-dimensional barcode for encoding information.

[1930] "Reading means" refers to a device or function for scanning QR codes, including a smartphone camera.

[1931] A "user interface" is a screen or operating means by which a user interacts with a system.

[1932] "Specific location within the store" refers to an area within the physical retail facility that is associated with a particular product or category.

[1933] The "means for determining the answer" is a function for determining whether the answer selected by the user is correct or incorrect.

[1934] "Storing history" means recording the user's past answers and learning progress.

[1935] "Means for tracking progress" is a function for tracking and evaluating a user's learning progress.

[1936] This invention is a system for children to learn English together with their parents in a brick-and-mortar store, where users can answer English vocabulary quizzes by scanning QR codes installed in specific locations within the store. A specific embodiment of this system will be described below.

[1937] Hardware and software used

[1938] Hardware

[1939] Smartphone: A device used to scan the QR code and view the quiz.

[1940] QR Code: A means of encoding information placed at specific locations within a store.

[1941] software

[1942] QR code library (e.g. ZXing): A library for decoding QR codes using a smartphone camera.

[1943] Server (e.g. Firebase): A server for storing the words corresponding to the alphabet and their visual diagrams.

[1944] Database (e.g. Firestore): A database for storing word data and image data.

[1945] UI framework (e.g., Flutter): A framework for building user interfaces.

[1946] System processing description

[1947] Scanning the QR code

[1948] A user uses the camera function of their smartphone to scan a QR code installed in a store. The QR code is decoded using the smartphone's QR code library (e.g., ZXing) to obtain specific alphabetic information.

[1949] Database queries and word retrieval

[1950] The acquired alphabet information is sent from the smartphone to a server (e.g., Firebase), which then queries a database (e.g., Firestore) based on the received alphabet information to obtain the corresponding English words and their visual diagrams.

[1951] Generate multiple choice quizzes

[1952] The server generates a multiple-choice quiz based on the correct English word and visual image obtained. The other option is a randomly selected word and image from the database. For example, it could prepare "Teddy Bear" and a randomly selected image of "Toy."

[1953] View Quiz

[1954] The generated multiple-choice quiz is sent from the server to the smartphone and displayed to the user through a user interface (for example, built with Flutter). The user selects the correct answer from the displayed options and submits the answer.

[1955] Answer evaluation and feedback

[1956] The user's answer is sent to the server, which determines whether it is correct or incorrect. If it is determined to be correct, the server generates a feedback message saying "That's correct!" and sends it to the smartphone. The user interface displays this feedback message to the user.

[1957] Examples and prompts

[1958] Specific examples

[1959] For example, if a user scans a QR code for a stuffed animal section, the QR code will encode a "T" and the system will retrieve the word "Teddy Bear" and a visual image. It will also retrieve the random word "Toy" and its image and generate the following multiple-choice question:

[1960] "Which of these is an illustration of Teddy Bear?"

[1961] 1. [Teddy Bear illustration]

[1962] 2. [Toy illustration]

[1963] If the user selects "Teddy Bear illustration," the server determines that it is the correct answer and provides feedback saying, "That's right!"

[1964] Prompt Sentence Examples

[1965] python

[1966] def prompt_for_english_quiz(qr_code_data):

[1967] """

[1968] A function that generates English vocabulary quizzes based on data read from QR codes

[1969] """

[1970] Get the alphabet from a QR code

[1971] alphabet = decode_qr_code(qr_code_data)

[1972] Send the alphabet to the server and get related English words and pictures

[1973] correct_word, correct_image, random_word, random_image = query_server_for_quiz(alphabet)

[1974] Generate multiple choice questions

[1975] quiz_question = f"Which of the following is an illustration of {correct_word}?"

[1976] options = [

[1977] {"word": correct_word, "image": correct_image},

[1978] {"word": random_word, "image": random_image}

[1979] ]

[1980] Present the problem to the user

[1981] display_quiz(quiz_question, options)

[1982] Get the answer

[1983] user_answer = get_user_answer()

[1984] Send your answers to the server for evaluation

[1985] result = evaluate_answer(user_answer, correct_word)

[1986] Notification of results

[1987] provide_feedback(result)

[1988] In this way, the system provides an environment where parents and children can have fun learning English vocabulary in a physical store.

[1989] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1990] Step 1:

[1991] A user uses the camera on their smartphone to scan a QR code installed in a store. The input is the QR code image, and the output is the decoded alphabetic information. This decoding process is performed using the smartphone's QR code library (e.g., ZXing).

[1992] Step 2:

[1993] The terminal sends the decoded alphabet information to the server. The input is the alphabet information (e.g., "T"), and the server receives this information and proceeds to the next step.

[1994] Step 3:

[1995] Based on the received alphabet information, the server queries a database (e.g., Firestore) to retrieve the corresponding English word and its visual illustration. The input is alphabet information, and the output is the URL of the English word (e.g., "Teddy Bear") and its visual illustration.

[1996] Step 4:

[1997] The server simultaneously randomly retrieves another English word and its visual illustration from the database. The input is the trigger for random selection, and the output is the URL of a random English word (e.g., "Toy") and its visual illustration.

[1998] Step 5:

[1999] The server generates a multiple-choice quiz using the correct word and picture, as well as another randomly chosen word and picture. The input is two English words and the URL of their respective pictures, and the output is in the form of a quiz (e.g., "Which of the following is an illustration of Teddy Bear? 1. [Illustration of Teddy Bear] 2. [Illustration of Toy]").

[2000] Step 6:

[2001] The server generates a multiple-choice quiz and sends it to the device. The input is quiz-format data, and the output is the quiz screen displayed on the smartphone.

[2002] Step 7:

[2003] The user selects the correct answer from the displayed quiz and submits the answer. The input is the user's choice (e.g., option 1) and is sent from the device to the server.

[2004] Step 8:

[2005] The server receives the user's answer and determines whether it is correct or incorrect. The input is the user's answer, and the output is the result of the determination (e.g., correct answer).

[2006] Step 9:

[2007] The server sends the result of the judgment to the terminal and generates a feedback message. The input is the judgment result, and the output is the feedback message (e.g., "Correct!").

[2008] Step 10:

[2009] The terminal displays the received feedback message to the user. The input is the feedback message, and the output is the message displayed on the screen.

[2010] 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.

[2011] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[2012] The system includes the following elements:

[2013] 1. Input Method

[2014] The user enters alphabets into the input field of the terminal and presses the send button.

[2015] 2. A means of retrieving the corresponding words and visual diagrams from the database

[2016] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[2017] 3. Methods for generating multiple-choice questions

[2018] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[2019] The server generates multiple choice questions and sends them to the user's device.

[2020] 4. Means for sending generated questions to the user's device

[2021] The terminal displays the received multiple-choice questions to the user.

[2022] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[2023] The server receives the user's answer and determines whether it is correct or incorrect.

[2024] The determination result is sent to the user's device.

[2025] 6. Emotion engine that recognizes user emotions

[2026] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[2027] Adjust learning content and feedback based on emotional assessment results.

[2028] Program processing

[2029] The specific processing of the system is explained in natural language below:

[2030] 1. The user enters the alphabet

[2031] User: The user enters the English alphabet "A" into the input field of the terminal and clicks the send button.

[2032] 2. Get the words and visual diagrams that correspond to the alphabet

[2033] Terminal: Send the entered alphabet "A" to the server.

[2034] Server: Queries the database using the received alphabet "A" to retrieve the corresponding English word "Apple" and its visual diagram.

[2035] 3. Generate multiple choice questions

[2036] Server: Provide the correct word "Apple" and its visual illustration as the first choice.

[2037] Server: Randomly select another word and picture from the database and provide it as a second choice. For example, prepare "Banana" and its illustration.

[2038] Server: Generate a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]".

[2039] 4. Send the generated questions to the user's device

[2040] Server: Sends the generated multiple-choice questions to the device.

[2041] 5. Display the question and have the user answer it

[2042] Device: Show the user the following question: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[2043] User: For example, the user selects option 1 and clicks or taps.

[2044] 6. Send the user's choice to the server

[2045] Terminal: Sends the user's choice (e.g., option 1) to the server.

[2046] 7. Evaluate the user's answer and notify them of the result

[2047] Server: Receives the user's choice and evaluates whether it is correct. Since option 1 is "Apple," it is determined to be the correct answer.

[2048] Server: Sends the judgment result (correct answer) to the user's device.

[2049] Terminal: Show the user "Correct!"

[2050] Examples of emotion engines

[2051] 1. Emotion recognition

[2052] Device: When the user answers a multiple-choice question, a camera captures the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions.

[2053] 2. Emotional assessment

[2054] Server: The emotion engine evaluates the user's emotional state (e.g., joy, interest, confusion, etc.).

[2055] 3. Adjusting learning content

[2056] Server: Based on the emotion evaluation results, if the user's emotional state is good, the next question will be made slightly more difficult. Conversely, if the user is confused, the question will be made easier or additional explanations will be displayed.

[2057] 4. Providing Feedback

[2058] Server: Sends specific feedback messages to the device based on the emotion evaluation results, such as "That was fun! Let's try harder next time!"

[2059] In this way, incorporating an emotional engine can provide a flexible learning experience that adapts to the user's emotional state, making English learning more effective and enjoyable.

[2060] The processing flow will be explained below.

[2061] Step 1:

[2062] The user enters alphabets into the input field of the terminal and presses the send button.

[2063] Step 2:

[2064] The terminal sends the alphabet entered by the user to the server.

[2065] Step 3:

[2066] The server queries the database based on the received alphabet and retrieves the corresponding English word and its visual illustration. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[2067] Step 4:

[2068] The server prepares the correct word and picture pair as the first choice, for example, "Apple" and its illustration as the first choice.

[2069] Step 5:

[2070] The server randomly selects another word and picture from the database and prepares it as a second choice. For example, "Banana" and its illustration are prepared as second choices.

[2071] Step 6:

[2072] The server generates a multiple-choice question like this: "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[2073] Step 7:

[2074] The server generates multiple choice questions and sends them to the terminal.

[2075] Step 8:

[2076] The device displays the multiple-choice question received to the user. For example, "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]."

[2077] Step 9:

[2078] The user clicks or taps on an option. For example, they select option 1.

[2079] Step 10:

[2080] The device sends the user's selection (e.g., option 1) to the server.

[2081] Step 11:

[2082] The server evaluates the user's submitted choice and determines whether it is correct or incorrect. Since option 1 is "Apple," it is determined to be correct.

[2083] Step 12:

[2084] The server sends the judgment result (correct answer) to the terminal.

[2085] Step 13:

[2086] The device displays the received result to the user, for example, "That's right!"

[2087] Step 14:

[2088] The device captures the user's facial expression with a camera and sends the image data to a server.

[2089] Step 15:

[2090] The server uses an emotion engine to analyze the transmitted image data and evaluate the user's emotional state. For example, the emotion engine detects "joy" from the user's facial expression.

[2091] Step 16:

[2092] The server adjusts the learning content based on the emotion evaluation results. For example, if the user is in a "happy" state, the next question will be made a little more difficult.

[2093] Step 17:

[2094] The server generates the next adjusted problem and sends it to the terminal.

[2095] Step 18:

[2096] The device then displays the next question to the user. By repeating this process, a flexible learning environment can be provided that adapts to the user's emotional state.

[2097] Example 2

[2098] 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."

[2099] In English learning systems for young children, the challenge is to provide a more effective and enjoyable learning environment by adjusting the learning experience according to the user's emotional state, rather than simply presenting learning content. In particular, it is necessary to properly determine when the user loses interest in learning or becomes confused, and provide appropriate feedback and support.

[2100] 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.

[2101] In this invention, the server includes input means for a user to input alphabets, means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database, means for generating multiple-choice questions by preparing correct word-and-illustration pairs and random word-and-illustration pairs, means for transmitting the generated questions to the user's device, means for receiving the user's answers and determining whether the answers are correct or incorrect, means for transmitting the determination result to the user's device, emotion recognition means for analyzing the user's facial expressions with a camera and evaluating the user's emotional state, means for adjusting the difficulty of the next question based on the emotion evaluation result, and means for generating a feedback message based on the emotion evaluation result and transmitting it to the user's device. This makes it possible to adjust the learning content and feedback according to the user's emotional state.

[2102] "Input means" refers to an interface device that a user uses to input alphabetic characters.

[2103] A "database" refers to an information storage device that stores information such as words corresponding to the alphabet or visual diagrams.

[2104] A "query" refers to an inquiry to obtain specific information from a database.

[2105] A "multiple choice question" refers to a question format in which the user must select the correct answer from two options.

[2106] "User device" refers to an electronic device, such as a computer or tablet, that a user uses to access the system.

[2107] "Emotion recognition means" refers to an analysis device or software for analyzing a user's facial expressions and assessing their emotional state.

[2108] The "emotion evaluation result" is a result that is analyzed by the emotion recognition means and indicates the user's current emotional state (joy, interest, confusion, etc.).

[2109] A "feedback message" refers to a response message generated based on the user's behavior and emotional evaluation results.

[2110] "Study progress tracking means" refers to a device or software that accumulates a user's learning history and tracks the user's progress.

[2111] "Determination means" refers to the mechanism or algorithm used to determine whether a user's answer is correct or incorrect.

[2112] "Question generation means" refers to a device or software that generates multiple-choice questions by providing correct word-picture pairs and random word-picture pairs.

[2113] This invention is an English learning system for young children, designed to help parents and children learn English words and their visual images in a fun way. The system incorporates an emotion engine that recognizes the user's emotions and has the ability to adjust the learning experience based on the user's emotional state.

[2114] The system includes the following elements:

[2115] 1. Input Method

[2116] The user enters alphabets into the input field of the terminal and presses the send button.

[2117] 2. A means of retrieving the corresponding words and visual diagrams from the database

[2118] The server receives the alphabet and retrieves the corresponding English word and visual illustration from a database. For example, if "A" is entered, it retrieves "Apple" and its illustration.

[2119] 3. Methods for generating multiple-choice questions

[2120] The server provides the correct word and picture pair as the first choice, and a different randomly chosen word and picture pair as the second choice.

[2121] The server generates multiple choice questions and sends them to the user's device.

[2122] 4. Means for sending generated questions to the user's device

[2123] The terminal displays the received multiple-choice questions to the user.

[2124] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[2125] The server receives the user's answer and determines whether it is correct or incorrect.

[2126] The determination result is sent to the user's device.

[2127] 6. Emotion engine that recognizes user emotions

[2128] The user's facial expressions are analyzed using a camera and their emotions are evaluated.

[2129] Adjust learning content and feedback based on emotional assessment results.

[2130] Specifically, the user inputs the letter "A" and the device sends the input to the server. The server queries the database and retrieves "Apple" and its illustration. The server then randomly selects another word and illustration (e.g., "Banana") and generates a multiple-choice question. The question is presented to the user: "Which of the following is an illustration of an Apple?"

[2131] When the user clicks the correct option, the device sends the selection to the server, which determines whether the selection is correct or incorrect. If the selection is correct, the server sends feedback to the device saying "That's right!"

[2132] Furthermore, the emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. Based on this evaluation result, the server adjusts the difficulty of the next question or changes the feedback message. For example, if the user is confused, the server may simplify the next question or provide additional explanation.

[2133] Examples of concrete examples and prompts

[2134] Specific examples

[2135] If the user enters the letter "B":

[2136] The user enters the letter "B" into the input field of the terminal and clicks the send button.

[2137] The device sends the alphabet "B" to the server.

[2138] The server retrieves "Banana" and its illustration corresponding to "B."

[2139] The server randomly selects "Cat" and its illustration and generates a multiple-choice question.

[2140] The question presented to the user is, "Which of the following is an illustration of a banana?"

[2141] If the user selects the correct option, the device displays the message "Correct!"

[2142] Prompt Sentence Examples

[2143] "Users input an alphabet, generate multiple choice questions, and rate their answers. Use an emotion engine to assess the user's emotional state and provide feedback based on that."

[2144] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2145] Step 1:

[2146] User: The user types English alphabets into the input field of the terminal and clicks the send button.

[2147] Input: User's alphabetic input (e.g. "A")

[2148] Output: The alphabet sent to the terminal (e.g. "A")

[2149] Step 2:

[2150] Terminal: Sends the input alphabet to the server.

[2151] Input: The alphabet entered by the user (e.g. "A")

[2152] Output: The alphabet sent to the server (e.g. "A")

[2153] Step 3:

[2154] Server: Receives the alphabet, queries the database, and retrieves the corresponding English word and visual illustration. For example, for the letter "A," retrieves "Apple" and its illustration.

[2155] Input: The alphabet sent to the server (e.g. "A")

[2156] Data processing: Query the corresponding English word “Apple” and its visual illustration from the database.

[2157] Output: The corresponding English word (e.g. "Apple") and its visual diagram

[2158] Step 4:

[2159] Server: Provide the correct word "Apple" and picture as the first option, and randomly select another word and picture (e.g., "Banana") from the database as the second option.

[2160] Input: The correct word and its visual illustration, plus another random word and illustration.

[2161] Data processing: Formatting options to generate multiple choice questions.

[2162] Output: The generated multiple-choice question (e.g., "Which of the following is an illustration of an Apple? 1. [Illustration of an Apple] 2. [Illustration of a Banana]")

[2163] Step 5:

[2164] Server: Sends the generated multiple-choice questions to the user's device.

[2165] Input: Generated multiple choice questions

[2166] Output: Multiple choice questions sent to the user's device

[2167] Step 6:

[2168] Terminal: Receives multiple choice questions and displays them to the user.

[2169] Input: Multiple choice question sent from the server

[2170] Output: Multiple choice question displayed to the user.

[2171] Step 7:

[2172] User: Look at the question and choose the option they think is correct, for example, click or tap on option 1.

[2173] Input: Multiple choice question displayed on the screen

[2174] Output: User's selection information (e.g., option 1)

[2175] Step 8:

[2176] Terminal: Sends the user's selection to the server.

[2177] Input: User selection information (e.g., option 1)

[2178] Output: User selections sent to the server

[2179] Step 9:

[2180] Server: Evaluates whether the received user choice is correct or incorrect. For example, if option 1 is correct, it is determined to be "correct."

[2181] Input: User selection information (e.g., option 1)

[2182] Data calculation: Evaluate whether the received answer is correct.

[2183] Output: Judgment result (e.g., correct answer)

[2184] Step 10:

[2185] Server: Sends the judgment result to the user's device.

[2186] Input: Judgment result (e.g., correct answer)

[2187] Output: The result of the test sent to the user's device.

[2188] Step 11:

[2189] Terminal: Display the result to the user, for example, a message like "Correct!"

[2190] Input: Judgment result sent from the server (e.g., correct answer)

[2191] Output: The result displayed on the screen (e.g., "Correct!")

[2192] Step 12:

[2193] Device: While the user is answering the questions, the camera captures the user's facial expressions.

[2194] Input: User's face image

[2195] Output: Facial image data sent to the server

[2196] Step 13:

[2197] Server: The emotion engine analyzes the user's facial expressions and generates an emotion evaluation result. For example, if the user is smiling, it will be evaluated as "joy."

[2198] Input: Face image data

[2199] Data arithmetic: Analysis by emotion recognition algorithms

[2200] Output: Emotion evaluation result (e.g., joy)

[2201] Step 14:

[2202] Server: Adjust the difficulty of the next question based on the emotion evaluation result. For example, if the user is confused, make the next question easier.

[2203] Input: Emotion evaluation result

[2204] Data processing: Adjusting the difficulty of questions

[2205] Output: Adjusted next problem

[2206] Step 15:

[2207] Server: Generates a feedback message based on the emotion evaluation results and sends it to the user's device. For example, it generates a message such as "That was fun! Let's do our best next time!"

[2208] Input: Emotion evaluation result

[2209] Data processing: generating feedback messages

[2210] Output: Feedback messages sent to the terminal

[2211] Step 16:

[2212] Terminal: Display a feedback message to the user, for example, "That was fun! Let's try harder next time!"

[2213] Input: Feedback message sent by the server

[2214] Output: Feedback messages displayed on the screen

[2215] (Application example 2)

[2216] 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."

[2217] Existing English learning systems for young children have difficulty sustaining children's motivation to learn, making it difficult for parents and children to enjoy learning together. Furthermore, they lack the ability to properly grasp children's emotional state during learning and dynamically adjust the learning content accordingly, making it difficult for them to learn effectively.

[2218] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: an emotion engine means for recognizing a user's emotions in real time and adjusting learning content based on the recognized emotional state; an input means for the user to input alphabets; a means for retrieving simple words corresponding to the alphabets and their visual illustrations from a database; a means for preparing correct word-illustration pairs and random word-illustration pairs and generating multiple-choice questions; a means for transmitting the generated questions to the user's device; a means for receiving the user's answers and determining whether the answers are correct or incorrect; and a means for transmitting the determination result to the user's device. This enables the learning system to grasp a child's emotional state in real time and provide flexible learning content according to that state.

[2219] "Input means" refers to a device or function that allows a user to input alphabets into a terminal.

[2220] A "database" is a collection of information that stores simple words and their visual representations corresponding to the alphabet.

[2221] The "means for generating multiple-choice questions" is a device or function that prepares correct word-picture pairs and other random word-picture pairs to create multiple-choice questions.

[2222] A "user device" is a computer, smartphone, tablet, or other terminal that a user uses to enjoy a learning experience.

[2223] The "emotion engine means" is a device or function for recognizing the user's emotions in real time and adjusting the learning content based on the user's emotional state.

[2224] A "means for determining whether an answer is correct or incorrect" is a device or function that receives the user's answer and evaluates whether it is correct.

[2225] The "means for transmitting the evaluation result" is a device or function that transmits the evaluation result to the user's device.

[2226] The present invention is an English learning system for young children that is designed to allow parents and children to learn English words and their visual images while having fun. This system can be effectively used in brick-and-mortar stores, especially edutainment facilities.

[2227] A system for implementing the invention includes the following elements:

[2228] 1. Input Method

[2229] The user inputs the alphabet using a smartphone app, which is then sent from the device to the server.

[2230] 2. A means of retrieving the corresponding words and visual diagrams from the database

[2231] The server receives the input alphabet and retrieves the corresponding simple English word and its visual illustration from the database. For example, if "A" is input, the server retrieves "Apple" and its illustration from the database.

[2232] 3. Methods for generating multiple-choice questions

[2233] The server prepares the correct word and picture pair as the first choice and another randomly selected word and picture pair as the second choice, for example, "Apple" and "Banana." This generates a multiple-choice question.

[2234] 4. Means for sending generated questions to the user's device

[2235] The server sends the generated multiple-choice questions to the user's smartphone, which displays the prompt, "Which of the following is an illustration of Apple?"

[2236] 5. A means of receiving the user's answer and determining whether the answer is correct or incorrect.

[2237] The user selects one of the options on their smartphone and sends it to the server. The server receives the answer and determines whether it is correct or incorrect. For example, if the user selects "Apple," it is determined to be the correct answer.

[2238] 6. Means for transmitting the judgment result to the user's device

[2239] The server sends the result of the judgment to the user's device, and the user's device displays feedback saying "That's correct!"

[2240] 7. Emotional Engine Means

[2241] When the user selects an option, the device uses a camera to capture the user's face, and the emotion engine analyzes their facial expressions to recognize their emotions. Based on the emotion evaluation results, the server adjusts the difficulty of the next question if the user's emotional state is good. For example, if the user is happy, the server displays a message saying, "Let's try harder next time!"

[2242] The following specific hardware and software are used to implement the program of this system:

[2243] Hardware: smartphones, tablets, servers, cameras

[2244] Software: OpenCV, EmotionRecognizer library, database system

[2245] Specific examples

[2246] When a user types "A" into their smartphone, the input is sent to the server. The server retrieves "Apple" and its visual image from the database and generates a multiple-choice question containing another randomly selected word, "Banana," and its image. The generated question is sent to the user's smartphone, where the user looks at the question and makes a choice. After deciding on a choice, the smartphone camera captures the user's facial expression, which is analyzed by the emotion engine. Based on the analysis results, the server adjusts the difficulty of the next question and the feedback message.

[2247] Prompt Sentence Examples

[2248] "Enter alphabet: A"

[2249] "Which of the following is an illustration of an Apple? 1. Apple 2. Banana"

[2250] "That's correct! Let's try harder next time!"

[2251] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2252] Step 1:

[2253] The user enters alphabets into the input field of the smartphone app and presses the send button. This input is sent from the device to the server. The input is alphabets, and the output is the data sent to the server.

[2254] Step 2:

[2255] The server queries the database based on the received alphabet and retrieves the corresponding English word and visual illustration from the database. The input is the alphabet, and the output retrieved from the database is the English word "Apple" and its illustration.

[2256] Step 3:

[2257] The server provides a correct word and picture pair (e.g., "Apple" and its illustration) as the first choice, and a randomly chosen word and picture (e.g., "Banana" and its illustration) as the second choice, generating a multiple-choice question. The input is an English word and a visual picture, and the output is a multiple-choice question.

[2258] Step 4:

[2259] The server sends the generated multiple-choice question to the user's device, which displays the prompt "Which of the following is an illustration of Apple?" The input is the multiple-choice question, and the output is the data sent to the user's device.

[2260] Step 5:

[2261] The user looks at a multiple-choice question displayed on the smartphone screen, selects one of the options, and presses the send button. This selection is sent from the device to the server. The input is the user's choice, and the output is the data sent to the server.

[2262] Step 6:

[2263] The server receives the user's answer and determines whether it is correct or incorrect. For example, it determines that "Apple" is correct and "Banana" is incorrect. The input is the user's choice, and the output is the correct / incorrect result.

[2264] Step 7:

[2265] The server sends the judgment result to the user's terminal. A feedback message such as "Correct!" or "Incorrect" is displayed on the user's terminal. The input is the judgment result, and the output is the data sent to the user's terminal.

[2266] Step 8:

[2267] When the user selects an option, the device captures a picture of the user's face with a camera, and the emotion engine analyzes the facial expression to recognize the emotion. The input is the user's face captured by the camera, and the output is the recognized emotion data.

[2268] Step 9:

[2269] Based on the emotion evaluation results, the server adjusts the problem by making the next question slightly more difficult if the user's emotional state is good. Conversely, if the user is confused, it makes the question easier or displays additional explanation. The input is the recognized emotion data, and the output is the adjusted learning content.

[2270] In this way, the systems work together to make the user's learning experience both effective and enjoyable.

[2271] 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.

[2272] 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.

[2273] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2274] 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.

[2275] 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.

[2276] 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.

[2277] 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).

[2278] 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.

[2279] 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."

[2280] 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.

[2281] 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).

[2282] 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.

[2283] 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.

[2284] 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.

[2285] 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.

[2286] 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.

[2287] 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.

[2288] 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.

[2289] 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.

[2290] 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.

[2291] 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.

[2292] The following is further disclosed regarding the above embodiment.

[2293] (Claim 1)

[2294] input means for a user to input alphabetic characters;

[2295] a means for retrieving simple words corresponding to the alphabet and their visual illustrations from a database;

[2296] A means to generate multiple-choice questions using correct word-picture pairs and random word-picture pairs;

[2297] means for transmitting the generated questions to a user device;

[2298] means for receiving the user's answer and determining whether the answer is correct or incorrect;

[2299] means for transmitting the determination result to a user device;

[2300] A system including:

[2301] (Claim 2)

[2302] 10. The system of claim 1, further comprising means for randomly selecting a correct word and picture pair in response to an alphabet entered by a user.

[2303] (Claim 3)

[2304] 10. The system of claim 1, further comprising means for storing a history of the means for determining whether the user's answer is correct or incorrect, and for tracking the user's learning progress.

[2305] "Example 1"

[2306] (Claim 1)

[2307] input means for a user to input alphabetic characters;

[2308] means for retrieving from a database the words corresponding to the alphabet and their visual illustrations;

[2309] A means to generate multiple-choice questions using correct word-picture pairs and random word-picture pairs;

[2310] means for transmitting the generated multiple-choice questions to a user's device;

[2311] means for receiving the user's answer and determining whether the answer is correct or incorrect;

[2312] means for transmitting the determination result to a user device;

[2313] A system including:

[2314] (Claim 2)

[2315] 10. The system of claim 1, further comprising means for randomly selecting a correct word and picture pair in response to an alphabet entered by a user.

[2316] (Claim 3)

[2317] 2. The system of claim 1, wherein the means for determining whether a user's answer is correct or incorrect further comprises means for accumulating an answer history and tracking the user's learning progress.

[2318] "Application Example 1"

[2319] (Claim 1)

[2320] input means for a user to input alphabetic characters;

[2321] a means for retrieving simple words corresponding to the alphabet and their visual illustrations from a database;

[2322] A means to generate multiple-choice questions using correct word-picture pairs and random word-picture pairs;

[2323] means for transmitting the generated questions to a user device;

[2324] means for receiving the user's answer and determining whether the answer is correct or incorrect;

[2325] means for transmitting the determination result to a user device;

[2326] a reader for a user to scan the QR code;

[2327] A means for querying corresponding words and visual diagrams based on the alphabet obtained from the scanned QR code;

[2328] user interface means for displaying the quiz;

[2329] A question generation method using QR codes installed in specific locations within the store;

[2330] A system including:

[2331] (Claim 2)

[2332] 10. The system of claim 1, further comprising means for randomly selecting a correct word and picture pair in response to an alphabet entered by a user.

[2333] (Claim 3)

[2334] 10. The system of claim 1, further comprising means for storing a history of the means for determining whether the user's answer is correct or incorrect, and for tracking the user's learning progress.

[2335] "Example 2: Combining Emotion Engines"

[2336] (Claim 1)

[2337] input means for a user to input alphabetic characters;

[2338] a means for retrieving simple words corresponding to the alphabet and their visual illustrations from a database;

[2339] A means to generate multiple-choice questions using correct word-picture pairs and random word-picture pairs;

[2340] means for transmitting the generated questions to a user device;

[2341] means for receiving the user's answer and determining whether the answer is correct or incorrect;

[2342] means for transmitting the determination result to a user device;

[2343] emotion recognition means for analyzing a user's facial expression with a camera and assessing their emotional state;

[2344] A means for adjusting the difficulty of the next question based on the emotion evaluation result;

[2345] means for generating and transmitting a feedback message to the user's device based on the emotion assessment result;

[2346] A system including:

[2347] (Claim 2)

[2348] 10. The system of claim 1, further comprising means for randomly selecting a correct word and picture pair in response to an alphabet entered by a user.

[2349] (Claim 3)

[2350] 10. The system of claim 1, further comprising means for storing a history of the means for determining whether the user's answer is correct or incorrect, and for tracking the user's learning progress.

[2351] "Application example 2 when combining emotion engines"

[2352] (Claim 1)

[2353] input means for a user to input alphabetic characters;

[2354] a means for retrieving simple words corresponding to the alphabet and their visual illustrations from a database;

[2355] A means to generate multiple-choice questions using correct word-picture pairs and random word-picture pairs;

[2356] means for transmitting the generated questions to a user device;

[2357] means for receiving the user's answer and determining whether the answer is correct or incorrect;

[2358] means for transmitting the determination result to a user device;

[2359] emotion engine means for recognizing the user's emotions in real time and adjusting learning content based on the recognized emotional state;

[2360] A system including:

[2361] (Claim 2)

[2362] 10. The system of claim 1, further comprising means for randomly selecting a correct word and picture pair in response to an alphabet entered by a user.

[2363] (Claim 3)

[2364] 10. The system of claim 1, further comprising means for storing a history of the means for determining whether the user's answer is correct or incorrect, and for tracking the user's learning progress. [Explanation of symbols]

[2365] 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. input means for a user to input alphabetic characters; a means for retrieving simple words corresponding to the alphabet and their visual illustrations from a database; A means to generate multiple-choice questions using correct word-picture pairs and random word-picture pairs; means for transmitting the generated questions to a user device; means for receiving the user's answer and determining whether the answer is correct or incorrect; means for transmitting the determination result to a user device; A system including:

2. 10. The system of claim 1, further comprising means for randomly selecting the correct word and picture pair in response to an alphabet entered by the user.

3. 10. The system of claim 1, further comprising means for storing a history of the means for determining whether a user's answer is correct or incorrect and for tracking the user's learning progress.

Images