System

Abstract

A system is provided.SOLUTION: A system comprising: means for reading identification data embedded in a dedicated book; means for acquiring educational content based on the read identification data; means for presenting the acquired educational content by voice; means for collecting a voice input from a user; means for analyzing the collected voice input to determine a response; and means for providing the determined result and performing necessary explanation.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] Conventional educational toys only have recording and playback functions, limiting their ability to provide an interactive learning experience. Dynamic and interactive elements are especially important for early childhood learning, as they are required to effectively solidify knowledge and maintain interest. Furthermore, conventional systems lack immediate user feedback, resulting in low learning effectiveness. [Means for solving the problem]

[0005] To solve this problem, this invention embeds identification data in a special book and incorporates a means for reading it. It also provides a means for retrieving educational content from a server based on the identification data and presenting it via voice using an AI pen. It also includes a means for collecting and analyzing voice input from the user to determine the answer, and based on the results, providing appropriate feedback and explanations via voice. This allows for an interactive and effective learning experience that was not possible with conventional educational toys.

[0006] "Identification data" is data embedded in a book, and includes information unique to that book.

[0007] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0008] An "audio presentation means" is a device or method for audibly conveying educational content to a user.

[0009] A "means for collecting voice input" is a device or method that recognizes speech from a user and collects it as data.

[0010] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[0011] "Feedback" is the act of providing appropriate evaluation and commentary on a user's answer.

[0012] The "means for providing explanation" is a device or method that provides additional information or explanation to the user based on the evaluation results of the answer.

[0013] "Wireless communication" is a technology that uses electromagnetic waves to send and receive information wirelessly.

[0014] A "server" is a computer system that stores and processes data over a network.

[0015] "Interactive" means having the ability to have two-way communication. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[0038] Specific system configuration

[0039] 1. Books

[0040] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0041] 2. AI Pen

[0042] The AI ​​pen has the following features:

[0043] Identification data reading function

[0044] Voice input collection function

[0045] Audio output presentation function

[0046] Wireless communication function

[0047] 3. Server

[0048] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[0049] Program processing flow (natural language explanation)

[0050] The user selects a book and holds up the AI ​​pen

[0051] User: Open a specific page and hold the AI ​​pen over it.

[0052] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[0053] "Identification data" is data that contains information specific to a book.

[0054] The server retrieves educational content and sends it to the AI ​​pen.

[0055] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[0056] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0057] AI pen presents educational content aloud

[0058] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[0059] User answers by voice

[0060] User: Answers the quiz questions by voice.

[0061] Terminal: The AI ​​pen collects audio and sends it to the server.

[0062] Voice analysis and answer evaluation by the server

[0063] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[0064] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[0065] Notification of results and related information provided by AI pen

[0066] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[0067] Example and its operation

[0068] Picture book scene: Learning about sea creatures

[0069] 1. User selects a book

[0070] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[0071] 2. Reading identification data

[0072] Terminal: The AI ​​pen reads the identification data.

[0073] 3. Acquiring educational content

[0074] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[0075] 4. Presentation of educational content

[0076] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[0077] 5. User Responses

[0078] User: Says "It's a mammal."

[0079] Terminal: The AI ​​pen collects audio and sends it to the server.

[0080] 6. Analysis and evaluation of responses

[0081] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0082] 7. Notification of results and provision of explanations

[0083] Device: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then present the next related quiz.

[0084] The system provides an interactive learning experience, allowing users to learn effectively while having fun.

[0085] The processing flow will be explained below.

[0086] Step 1:

[0087] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[0088] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[0089] Step 2:

[0090] The terminal reads the book's identification data and transmits the data to the server.

[0091] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[0092] Step 3:

[0093] The server receives the identification data and retrieves the corresponding educational content from a database.

[0094] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[0095] Step 4:

[0096] The server sends the acquired educational content to the AI ​​pen.

[0097] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[0098] Step 5:

[0099] The device presents the received educational content to the user via audio.

[0100] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[0101] Step 6:

[0102] The user answers the quiz by voice.

[0103] Specific action: Say "It's a mammal."

[0104] Step 7:

[0105] The device collects the user's voice and sends it to the server.

[0106] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[0107] Step 8:

[0108] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[0109] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[0110] Step 9:

[0111] The server sends the analysis results and supplementary explanations to the AI ​​pen.

[0112] How it works: The server sends the analysis results data to the AI ​​pen, again via Wi-Fi or Bluetooth.

[0113] Step 10:

[0114] The device will notify the user of the result and additional explanations via voice and then ask the next quiz question.

[0115] Specific operation: The AI ​​pen announces in voice, "That's correct! Dolphins are mammals just like humans," and then reads out the next question: "Next question: How do jellyfish move?"

[0116] In this way, users can have an interactive learning experience through a series of steps.

[0117] Example 1

[0118] 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."

[0119] Conventional educational systems lack the ability to link books and electronic devices, making it difficult to present and evaluate learning content in real time. They also lack the means to efficiently analyze users' voice input and provide appropriate feedback. The purpose of this invention is to solve these problems and provide an interactive and effective learning experience.

[0120] 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.

[0121] In this invention, the server includes a means for acquiring educational content based on identification data, a means for analyzing collected voice input to determine an answer, and a means for providing the determined result and necessary explanation. This allows a user to select a book and read the identification data using an AI pen, and then acquire educational content in real time based on the identification data and present it to them by voice. Furthermore, the server can analyze the user's voice input and quickly provide accurate feedback and explanation, thereby realizing an interactive and effective learning experience.

[0122] "Identification data" is information embedded in special books that can be read by the AI ​​pen to identify specific pages or content.

[0123] "Educational content" refers to learning materials, quizzes, explanations, and other educational materials that are obtained from the server based on identification data and provided to users through the AI ​​pen.

[0124] "Voice input" refers to the voice data that users speak into the AI ​​pen when answering quizzes or questions.

[0125] "Speech recognition technology" is a technology that analyzes collected voice input and converts it into text data.

[0126] "Speech synthesis technology" is a technology that converts text data into voice data and presents it to the user through an AI pen.

[0127] "Wireless communication" is a means of communication for sending and receiving identification data, educational content, voice input, etc. between the server and the AI ​​pen.

[0128] The "server" is a computer system that manages and provides educational content based on identification data, analyzes users' voice input to determine their answers, and generates evaluation results and explanations.

[0129] "Analysis" refers to the process in which the server processes the voice data collected by the AI ​​pen to determine whether the answers are correct or not and to determine related information.

[0130] "Explanation" is an explanatory content that uses voice synthesis technology to present supplementary information and related knowledge to the user's answer.

[0131] "Feedback" refers to the act of the server analyzing the answers given by the user and notifying them via audio via the AI ​​pen.

[0132] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[0133] Specific system configuration

[0134] 1. Books

[0135] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0136] 2. AI Pen

[0137] The AI ​​pen has the following features:

[0138] Identification data reading function (e.g. QR code reader)

[0139] Ability to collect audio input (e.g. microphone)

[0140] Audio output presentation (e.g., speakers, speech synthesis technology)

[0141] Wireless communication functions (e.g. Bluetooth and Wi-Fi)

[0142] 3. Server

[0143] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. Specifically, it performs the following functions:

[0144] A means of retrieving educational content based on identification data (e.g., database search functions, MySQL)

[0145] A means of analyzing voice input (e.g., speech recognition API, Google Cloud Speech-to-Text API)

[0146] A means to evaluate the analysis results and generate explanatory notes (e.g., natural language processing, generative AI models)

[0147] Program processing flow (natural language explanation)

[0148] The user selects a book and holds up the AI ​​pen

[0149] User: Open a specific page and hold the AI ​​pen over it.

[0150] Terminal: The AI ​​pen reads the identification data in the book. This data includes an IC chip and a QR code. The read identification data is sent to the server.

[0151] The server retrieves educational content and sends it to the AI ​​pen.

[0152] Server: Receives the scanned identification data, searches the database for relevant educational content, and sends the found content to the AI ​​pen.

[0153] AI pen presents educational content aloud

[0154] Device: The AI ​​pen presents the received educational content (e.g., a quiz) to the user via audio. An example quiz question is, "Are dolphins mammals or fish?"

[0155] User answers by voice

[0156] User: Answers the quiz question by saying "It's a mammal."

[0157] Terminal: The AI ​​pen collects the user's voice and sends the voice data to the server.

[0158] Voice analysis and answer evaluation by the server

[0159] Server: Converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The analyzed text is compared with the correct answer to the quiz to determine whether it is correct or not. If the answer is correct, generates supplementary explanations and related information (e.g., "Dolphins are mammals, just like humans").

[0160] Notification of results and related information provided by AI pen

[0161] Device: The AI ​​pen notifies the user by voice of the evaluation result and supplementary explanation from the server. For example, it might say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz.

[0162] Example and its operation

[0163] Picture book scene: Learning about sea creatures

[0164] 1. User selects a book

[0165] User: Opens a special book with illustrations of sea creatures and holds the AI ​​pen over it.

[0166] 2. Reading identification data

[0167] Terminal: The AI ​​pen reads the identification data (IC chip or QR code) embedded in the book's pages. For example, it decodes it using a QR code reader. The data is then wirelessly transmitted to the server.

[0168] 3. Acquiring educational content

[0169] Server: Based on the read identification data, it searches for relevant quizzes from an educational content database (e.g., MySQL database), retrieves the relevant quiz, "Are dolphins mammals or fish?", and sends it to the AI ​​pen.

[0170] 4. Presentation of educational content

[0171] Device: The AI ​​pen receives the quiz and uses its speech synthesis function to present it to the user aloud. A text-to-speech service is used for speech synthesis.

[0172] 5. User Responses

[0173] User: Says "It's a mammal."

[0174] Device: The AI ​​pen collects the user's voice and sends the voice data to the server in a lossless format (e.g., FLAC).

[0175] 6. Analysis and evaluation of responses

[0176] Server: Converts the received voice data into text using a speech recognition API. Compares the converted text with the correct answer to the quiz, "They are mammals." If it is determined to be correct, generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0177] 7. Notification of results and provision of explanations

[0178] Device: The AI ​​pen notifies the user by voice of the evaluation result from the server ("That's right!") and a supplementary explanation ("Dolphins are mammals just like humans."), then presents a new related quiz.

[0179] Specific example (example of a prompt sentence for a generative AI model)

[0180] Prompt statement:

[0181] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[0182] Using this prompt, the generative AI model can generate specific quiz content, providing users with an interactive learning experience that allows them to learn effectively while having fun.

[0183] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0184] The flow of this system's program processing

[0185] Step 1:

[0186] User: Opens the book and holds the AI ​​pen over a specific page. The AI ​​pen's reading sensor detects and reads the identification data embedded in the page. The input is the page's identification data, and the output is the read identification data.

[0187] Step 2:

[0188] Terminal: The AI ​​pen sends the identification data it reads to the server via wireless communication (e.g., Bluetooth or Wi-Fi). The input is the read identification data, and the output is the identification data sent to the server. Specifically, the AI ​​pen's wireless communication module operates and sends the data to the server.

[0189] Step 3:

[0190] Server: The server searches the educational content database based on the identification data it receives. It retrieves the corresponding educational content (e.g., the relevant quiz) and sends it back to the AI ​​pen. The input is the identification data, and the output is the retrieved educational content. Specifically, it executes a database query using the identification data as a key to retrieve the related quiz.

[0191] Step 4:

[0192] Terminal: The AI ​​pen receives the educational content sent back from the server and uses speech synthesis technology to present it to the user aloud. The input is the received educational content, and the output is the audio quiz. Specifically, the text-to-speech module operates to read the quiz aloud.

[0193] Step 5:

[0194] User: Answers the given quiz questions by voice. The input is the quiz presented by voice, and the output is the user's voice answer data. The specific operation is that the user answers the quiz by voice.

[0195] Step 6:

[0196] Terminal: The AI ​​pen collects the user's voice response and transmits it to the server via wireless communication. The input is the user's voice response data, and the output is the voice data transmitted to the server. Specifically, the AI ​​pen's microphone operates, capturing the voice data and transmitting it to the server.

[0197] Step 7:

[0198] Server: The server converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The converted text is compared with the correct answer to the quiz to determine whether it is correct or incorrect. Supplementary explanations and related information are generated as needed. The input is the voice data, and the output is the analyzed text and its evaluation results. Specifically, the server calls the speech recognition API and compares the obtained text with the correct answer in the database.

[0199] Step 8:

[0200] Terminal: The AI ​​pen notifies the user by voice of the evaluation results and supplementary explanations sent from the server. For example, it may say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz. The input is the evaluation results and supplementary explanations, and the output is the audio feedback. Specifically, the text-to-speech module works again to provide the user with audio feedback.

[0201] Specific example (example of a prompt sentence for a generative AI model)

[0202] Prompt statement:

[0203] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[0204] Through these steps, users can learn interactively and effectively.

[0205] (Application example 1)

[0206] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0207] Factory worker training is typically conducted while referring to a vast amount of procedures and manuals, but this poses challenges in work efficiency and comprehension. Effective education and training also requires a great deal of time and effort, and it is difficult to provide appropriate feedback and explanations to individual workers. This results in insufficient effectiveness in improving worker skills and ensuring safety.

[0208] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0209] In this invention, the server includes: means for reading identification data from a dedicated medium; means for acquiring training content based on the identification data; means for audibly presenting the acquired training content; means for collecting voice input from the worker; means for analyzing the collected voice input and determining the answer; means for providing the determined result and necessary explanation; means for wirelessly transmitting the identification data to the server and displaying the training content returned from the server; and means for analyzing the voice input and generating appropriate feedback using a generative AI model. This allows workers to receive appropriate training and feedback in real time. Furthermore, it is possible to provide education tailored to individual skill levels and levels of understanding, thereby improving work efficiency and ensuring safety.

[0210] A "specialized medium" is a medium containing specific information with embedded identifying data.

[0211] "Identification data" refers to data embedded in a dedicated medium that identifies specific content or information.

[0212] A "reading means" is a device or technology for extracting identification data from a dedicated medium.

[0213] "Training content" refers to the content of work procedures, educational materials, etc., acquired based on identification data.

[0214] The "means for presenting by voice" refers to a device or technology for outputting acquired training content as voice.

[0215] The "means for collecting voice input from the worker" is a technology for recognizing the voice of the worker and collecting it as data.

[0216] The "means for analyzing collected voice inputs and determining answers" is a technology for analyzing collected voice data and determining whether the content is correct or incorrect.

[0217] "Means for providing the judged results and necessary explanations" refers to technology or devices that provide feedback or additional explanations to the worker based on the analysis results of the voice input.

[0218] "Means for transmitting identification data to a server via wireless communication and displaying training content returned from the server" refers to a technology for using communication technology to transmit identification data to a server, and then acquiring and displaying the returned training content.

[0219] "Means for analyzing voice input and generating appropriate feedback using a generative AI model" refers to technology that utilizes an artificial intelligence model to analyze voice data and generate optimal feedback.

[0220] The system embodying the present invention is intended to support the training of workers in a factory. A specific embodiment of the system will be described below.

[0221] System Configuration

[0222] 1. Dedicated media

[0223] Each page of the factory's training manuals has identification data embedded in it, which is implemented as a QR code or IC chip and can be read by the AI ​​pen.

[0224] 2. AI Pen

[0225] The AI ​​pen has the following features:

[0226] Identification data reading function

[0227] Voice input collection function

[0228] Audio output presentation function

[0229] Wireless communication function

[0230] 3. Server

[0231] The server manages and provides training content based on the identification data, analyzes the worker's voice input, determines whether the answer is correct, and generates appropriate feedback using a generative AI model.

[0232] Program processing explanation

[0233] The server manages a series of processes, starting with reading the identification data, acquiring the training content, presenting it via audio output, collecting and analyzing audio input, and generating feedback.

[0234] Hardware

[0235] AI Pen: A device equipped with a QR code / IC chip reader, microphone, speaker, and wireless communication functions

[0236] Factory training manuals: paper or digital with embedded identifying data

[0237] Server: Central server for data management and analysis

[0238] software

[0239] qrcode library: generate and read identification data

[0240] speech_recognition library: Collecting and recognizing speech input

[0241] gTTS (Google Text-to-Speech) library: Generates audio feedback

[0242] The requests library: Communicating with the server

[0243] Specific examples

[0244] To review a specific work procedure, a worker opens the training manual to the appropriate page and then holds the AI ​​pen over the QR code or IC chip on that page to read the identification data.

[0245] The server retrieves relevant training content from a database based on the scanned identification data and sends it to the AI ​​pen, which then presents the content aloud and instructs the worker on work procedures and important points to note.

[0246] When a worker voices a question or confirmation, the AI ​​pen collects the input and sends it to the server, which uses a generative AI model to analyze the voice input and generate appropriate feedback or next steps, which are then presented aloud via the AI ​​pen.

[0247] Prompt Sentence Examples

[0248] Please explain the steps on this page.

[0249] "What should I pay attention to in the next step?"

[0250] "Please confirm the correct procedure for this task."

[0251] This system allows workers to receive appropriate training and feedback in real time, and makes it possible to provide education tailored to each worker's skill level and understanding, thereby improving work efficiency and ensuring safety.

[0252] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0253] Step 1:

[0254] To read the identification data from the dedicated medium, the user holds the AI ​​pen over the QR code or IC chip on the medium.

[0255] Input: Dedicated media, AI pen

[0256] Output: Identification data

[0257] Step 2:

[0258] The terminal acquires the identification data through the AI ​​pen and transmits it to the server using its wireless communication function.

[0259] Input: Identification data, AI pen, terminal wireless communication function

[0260] Output: Identification data sent to the server

[0261] Step 3:

[0262] The server analyzes the received identification data and retrieves the corresponding training content from the database.

[0263] Input: Identification data, Server, Database

[0264] Output: Training content

[0265] Step 4:

[0266] The server transmits the acquired training content to the terminal.

[0267] Input: Training content, server

[0268] Output: Training content sent to your device

[0269] Step 5:

[0270] The device uses an AI pen to present training content to the user via audio.

[0271] Input: Training content sent to the device, AI pen voice output function

[0272] Output: Training content presented audibly

[0273] Step 6:

[0274] The user answers and asks questions by voice in response to the training content presented to them.

[0275] Input: Presented training content, user speech

[0276] Output: User's voice input

[0277] Step 7:

[0278] The device collects the user's voice input through the AI ​​pen and sends it to the server.

[0279] Input: User voice input, AI pen microphone function, device wireless communication function

[0280] Output: Audio data sent to the server

[0281] Step 8:

[0282] The server analyzes the collected voice data, determines whether the answer is correct, and uses a generative AI model to generate the necessary feedback and explanations.

[0283] Input: Voice data, server, generative AI model

[0284] Output: Feedback and Commentary

[0285] Step 9:

[0286] The server sends generated feedback and commentary to the device.

[0287] Input: Generated feedback and commentary, server

[0288] Output: Feedback and commentary sent to the terminal

[0289] Step 10:

[0290] The device uses the AI ​​pen to provide the user with audio feedback and explanations.

[0291] Input: Feedback and commentary sent to device, AI pen voice output function

[0292] Output: Audio feedback and commentary

[0293] This allows workers to receive appropriate training and feedback in real time.

[0294] 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.

[0295] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[0296] Specific system configuration

[0297] 1. Books

[0298] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0299] 2. AI Pen

[0300] The AI ​​pen has the following features:

[0301] Identification data reading function

[0302] Voice input collection function

[0303] Audio output presentation function

[0304] Wireless communication function

[0305] Emotion engine included

[0306] 3. Server

[0307] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[0308] Program processing flow (natural language explanation)

[0309] The user selects a book and holds up the AI ​​pen

[0310] User: Open a specific page and hold the AI ​​pen over it.

[0311] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[0312] "Identification data" is data that contains information specific to a book.

[0313] The server retrieves educational content and sends it to the AI ​​pen.

[0314] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[0315] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0316] AI pen presents educational content aloud

[0317] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[0318] User answers by voice

[0319] User: Answers the quiz questions by voice.

[0320] Terminal: The AI ​​pen collects audio and sends it to the server.

[0321] Voice analysis and answer evaluation by the server

[0322] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[0323] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[0324] Emotion recognition by emotion engine

[0325] Device: The AI ​​pen collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state.

[0326] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[0327] Emotional state evaluation and feedback generation on the server

[0328] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[0329] For example, if the user is confused, provide more detailed explanations.

[0330] Notification of results and related information provided by AI pen

[0331] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[0332] Example and its operation

[0333] Picture book scene: Learning about sea creatures

[0334] 1. User selects a book

[0335] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[0336] 2. Reading identification data

[0337] Terminal: The AI ​​pen reads the identification data.

[0338] 3. Acquiring educational content

[0339] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[0340] 4. Presentation of educational content

[0341] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[0342] 5. User Responses

[0343] User: Says "It's a mammal."

[0344] Terminal: The AI ​​pen collects audio and sends it to the server.

[0345] 6. Analysis and evaluation of responses

[0346] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0347] 7. Emotion recognition

[0348] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[0349] 8. Emotion-Based Feedback

[0350] Server: Tailor the necessary feedback and educational content based on the user’s emotional state. For example, if the user is confused, encourage them to “ask again if you don’t understand.”

[0351] 9. Notification of results and provision of explanations

[0352] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[0353] Through this system, users can have an interactive and emotionally responsive learning experience.

[0354] The processing flow will be explained below.

[0355] Step 1:

[0356] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[0357] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[0358] Step 2:

[0359] The terminal reads the book's identification data and transmits the data to the server.

[0360] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[0361] Step 3:

[0362] The server receives the identification data and retrieves the corresponding educational content from a database.

[0363] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[0364] Step 4:

[0365] The server sends the acquired educational content to the AI ​​pen.

[0366] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[0367] Step 5:

[0368] The device presents the received educational content to the user via audio.

[0369] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[0370] Step 6:

[0371] The user answers the quiz by voice.

[0372] Specific action: Say "It's a mammal."

[0373] Step 7:

[0374] The device collects the user's voice and sends it to the server.

[0375] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[0376] Step 8:

[0377] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[0378] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[0379] Step 9:

[0380] The device collects the user's voice and facial expressions, analyzes them using an emotion engine, and sends the emotional state to the server.

[0381] Specific operation: Using the microphone and camera built into the AI ​​pen, the user's voice and facial expression data is collected and analyzed in real time by the emotion engine.

[0382] Step 10:

[0383] The server receives the analysis results of the emotion engine and adjusts the feedback and educational content according to the user's emotional state.

[0384] Specific operation: The server analyzes the emotional state data received from the emotion engine and generates content that provides a more detailed explanation if the user is confused, or suggests a new challenge if the user is excited.

[0385] Step 11:

[0386] The device notifies the user via voice of the adjusted feedback and additional educational content received from the server.

[0387] Specific operation: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then, depending on the user's emotional state, will present a new quiz question: "Next question: How do jellyfish move?"

[0388] In this way, users can experience an emotionally responsive and interactive learning experience through a series of steps.

[0389] Example 2

[0390] 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."

[0391] Conventional educational systems only provide static content to supplement the content of books, and have the problem of being unable to provide dynamic feedback based on the user's level of understanding or emotions. Furthermore, there are insufficient means for analyzing users' voice responses, making it difficult for users to receive appropriate feedback in real time when answering quizzes. Furthermore, since educational content cannot be adjusted based on the user's emotional state, it is difficult to respond to individual learning needs.

[0392] 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.

[0393] In this invention, the server includes means for acquiring educational content based on the identification data, means for analyzing the collected voice input to determine the answer, and means for adjusting the feedback and educational content based on the user's emotional state, thereby enabling dynamic feedback according to the user's level of understanding and emotional state.

[0394] A "dedicated book" is a specific book with embedded identification data and containing information that can be read by an AI pen.

[0395] "Identification data" refers to information data embedded within a book, and is composed of an IC chip, QR code, etc., and is data used to identify information on a specific page.

[0396] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0397] "Voice input" is voice data uttered by the user, and is information used for answering quizzes, etc.

[0398] "Analysis" is the means of analyzing collected voice input to determine whether it is correct or incorrect, or its emotional state.

[0399] An "emotion engine" is software or hardware that recognizes and analyzes a user's emotional state based on their voice and facial expression data.

[0400] "Feedback" is additional information or advice provided to the user based on the analysis results and emotion recognition.

[0401] "Wireless communication" refers to a means of communication for sending and receiving data between an AI pen and a server, and is a technology that includes Wi-Fi.

[0402] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[0403] System Configuration

[0404] books

[0405] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0406] AI Pen

[0407] The AI ​​pen is a device with the following features:

[0408] Identification data reading function: Ability to read IC chips and QR codes inside books.

[0409] Voice input collection function: A function that recognizes the user's voice and collects it as voice data.

[0410] Audio output presentation function: A function that presents acquired educational content to users via audio.

[0411] Wireless communication functions: Communication functions such as Wi-Fi for sending and receiving data with the server.

[0412] Emotion engine: Software and hardware for recognizing and analyzing the user's emotional state.

[0413] server

[0414] The server is responsible for managing and providing educational content based on the identification data. It also has the function of analyzing the user's voice input and determining whether the answer was correct or not. The server has the following functions:

[0415] Educational content retrieval function: Retrieving relevant educational content from a database based on the received identification data.

[0416] Voice data analysis function: A function that analyzes the user's voice input and determines whether it is correct or incorrect.

[0417] Emotion recognition result processing function: A function that accepts the analysis results of the inserted emotion engine and adjusts the feedback and educational content provided.

[0418] Specific examples

[0419] Scenario: Learning about sea creatures

[0420] Let's say a user opens a special book and holds up the AI ​​pen to learn about "ocean creatures." The specific behavior is as follows:

[0421] 1. User selects a book

[0422] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[0423] 2. Reading identification data

[0424] Terminal: The AI ​​pen reads the identification data.

[0425] 3. Acquiring educational content

[0426] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[0427] 4. Presentation of educational content

[0428] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[0429] 5. User Responses

[0430] User: Says "It's a mammal."

[0431] Terminal: The AI ​​pen collects audio and sends it to the server.

[0432] 6. Analysis and evaluation of responses

[0433] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0434] 7. Emotion recognition

[0435] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[0436] 8. Emotion-Based Feedback

[0437] Server: Tailor the necessary feedback and educational content based on the user's emotional state. For example, if the user is confused, prompt them with "If you don't understand, please ask again."

[0438] 9. Notification of results and provision of explanations

[0439] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[0440] Example prompts to input to the generative AI model

[0441] After the user holds the AI ​​pen over a specified page to read the identification data, retrieve the educational content related to that page and provide audio guidance. After the user answers the question, use the emotion engine to analyze the user's emotions and provide appropriate feedback. For example, if a user answers "Are dolphins mammals or fish?" to the question "Are they mammals?", evaluate the answer and provide additional information such as "Dolphins are mammals just like humans." If the user is confused, provide further explanation.

[0442] Through this system, users can have an interactive and emotionally responsive learning experience.

[0443] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0444] Step 1:

[0445] User: Open a specific page and hold the AI ​​pen over it.

[0446] Input: The book page selected by the user.

[0447] Output: Identification data is read by the AI ​​pen.

[0448] Step 2:

[0449] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[0450] Input: Identification data obtained from an IC chip, QR code, etc.

[0451] Output: The identification data sent to the server.

[0452] Specific operation: The AI ​​pen's sensor captures data from the IC chip and sends it to the server via Wi-Fi.

[0453] Step 3:

[0454] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[0455] Input: The identification data received by the server.

[0456] Output: Educational content is sent to the AI ​​pen.

[0457] Specific operation: The server searches the database, retrieves the relevant educational content, and transmits it to the AI ​​pen via wireless communication.

[0458] Step 4:

[0459] Terminal: The AI ​​pen presents the received educational content to the user via audio.

[0460] Input: Educational content received from the server.

[0461] Output: Educational content presented audibly to the user.

[0462] Specific operation: The AI ​​pen uses a speaker to ask a quiz question aloud: "Are dolphins mammals or fish?"

[0463] Step 5:

[0464] User: Answers the quiz questions by voice.

[0465] Terminal: The AI ​​pen collects audio and sends it to the server.

[0466] Input: A spoken response from the user.

[0467] Output: The audio data sent to the server.

[0468] Specific operation: The user's answers are captured via microphone and sent to the server via Wi-Fi.

[0469] Step 6:

[0470] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[0471] Input: User's voice data.

[0472] Output: Correct / incorrect answer and additional explanation.

[0473] Specific operation: The data is analyzed using a voice analysis algorithm, and if it is determined to be correct, a supplementary explanation such as "Dolphins are mammals just like humans" is generated.

[0474] Step 7:

[0475] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes their emotional state using an emotion engine, and transmits the emotional state to the server.

[0476] Input: User's voice and facial expression data.

[0477] Output: Emotional state data sent to the server.

[0478] Specific operation: Voice and facial expressions are captured using a microphone and sensors, and the results are analyzed by the emotion engine and sent to the server.

[0479] Step 8:

[0480] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[0481] Input: Emotional state data.

[0482] Output: Tailored feedback and educational content.

[0483] Specific Action: If the user is confused, generate feedback that encourages them to "Ask again if you don't understand."

[0484] Step 9:

[0485] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice.

[0486] Input: Evaluation result and supplementary explanation sent from the server.

[0487] Output: Results and additional explanations presented to the user aloud.

[0488] Specific action: The AI ​​pen announces through the speaker, "That's right! Dolphins are mammals just like humans," and then asks the next question.

[0489] (Application example 2)

[0490] 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."

[0491] Conventional educational systems have been unable to recognize a user's emotional state and adjust learning content and feedback accordingly. This often leaves users confused or disinterested in learning. Furthermore, educational content lacking interactivity reduces learning effectiveness. The objective of this invention is to solve these problems and provide a system that supports effective learning by providing feedback according to the user's emotional state.

[0492] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for reading identification data embedded in a dedicated book, means for acquiring educational content based on the read identification data, means for presenting the acquired educational content by voice, means for collecting voice input from the user, means for analyzing the collected voice input and determining an answer, means for providing the determined result and necessary explanation, means for recognizing the user's emotional state, and means for adjusting feedback based on the emotional state. This enables an interactive and effective learning experience that is tailored to the user's emotional state.

[0493] "Book" means a document in print or digital form containing educational content that is used to deliver specific learning content.

[0494] "Identification data" refers to data containing unique information embedded in a book, and is implemented in the form of an IC chip, QR code, or the like.

[0495] "Educational content" refers to learning materials such as study materials, quizzes, and explanations provided based on identification data.

[0496] The "AI Pen" is a pen-shaped device that can read identification data, collect voice input, provide voice output, communicate wirelessly, and has an emotion engine.

[0497] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[0498] "Emotional state" refers to the user's emotional reactions during learning, such as confusion, interest, or delight.

[0499] "Wireless communication" refers to a data communication means for transmitting identification data to a server and receiving educational content returned from the server.

[0500] "Voice input" refers to voice instructions or responses given by a user to a device.

[0501] "Feedback" refers to responses such as additional explanations or suggestions for the next learning content that are provided based on the user's answers and emotional state.

[0502] A "server" is a computer system that is responsible for managing and providing educational content based on identification data.

[0503] "User" refers to a person who uses this system to learn educational content.

[0504] "Smart glasses" are eyeglass-type wearable devices that provide visual and audio information when worn by the user and are equipped with a camera and voice recognition functions.

[0505] To implement this invention, a system combining a dedicated book, an AI pen, a server, and an emotion engine is required. A specific embodiment is shown below.

[0506] System Configuration

[0507] 1. Exclusive Books:

[0508] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by an AI pen or smart glasses.

[0509] 2. AI pen and smart glasses:

[0510] The AI ​​pen is equipped with a camera and voice recognition function, allowing users to hold it over books to read their identification data and provide educational content via voice.

[0511] 3. Server:

[0512] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. It also generates appropriate feedback based on the user's emotional state analyzed using an emotion engine.

[0513] Program processing flow

[0514] 1. Open the book and hold the AI ​​pen or smart glasses over the page:

[0515] The user opens a specific page and holds the AI ​​pen or smart glasses over it, which reads the identification data and sends it to the server.

[0516] 2. Acquiring and Presenting Educational Content:

[0517] The server retrieves educational content from the database based on the identification data and sends it to the AI ​​pen or smart glasses, which then presents the retrieved educational content to the user via audio.

[0518] 3. User voice input and answer evaluation:

[0519] The user answers the presented educational content (e.g., a quiz) by voice. The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines whether the answer was correct. It also generates supplementary explanations and related information as needed.

[0520] 4. Emotion recognition and feedback generation by emotion engine:

[0521] The AI ​​pen or smart glasses collects the user's voice and facial expressions, analyzes them with an emotion engine, and transmits the emotional state to the server. The server then adjusts the feedback and educational content based on the emotional state analyzed by the emotion engine and transmits it to the AI ​​pen or smart glasses.

[0522] 5. Notification of results and provision of related information:

[0523] The AI ​​pen or smart glasses will notify the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's right!" and provide further explanations.

[0524] Specific examples

[0525] Picture book scene: Learning about sea creatures

[0526] 1. User selects a book:

[0527] The user opens a special book depicting marine life and holds up an AI pen or smart glasses.

[0528] 2. Reading identification data:

[0529] The AI ​​pen or smart glasses read the identification data and send it to the server.

[0530] 3. Acquiring and Presenting Educational Content:

[0531] The server retrieves relevant educational content from the database and sends it to the AI ​​pen or smart glasses, for example, presenting a quiz question such as "Are dolphins mammals or fish?"

[0532] 4. User answers and ratings:

[0533] The user answers verbally, "They are mammals." The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines that the answer is correct. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0534] 5. Emotion Recognition and Feedback:

[0535] The AI ​​pen or smart glasses collect the user's voice and facial expressions, analyze their emotional state using an emotion engine, and send the results to the server. Based on the emotional state, the server provides feedback, such as "If you don't understand, please ask again" if the user is confused.

[0536] 6. Notification of results and provision of related information:

[0537] The AI ​​pen or smart glasses will announce, "That's right! Dolphins are mammals just like humans," and then present the next quiz question: "Next question: How do jellyfish move?"

[0538] Prompt Sentence Examples

[0539] "This is a simulated training for a virtual bookstore. Users read the book 'Life in the Sea' and answer the following quiz: Are dolphins mammals or fish?"

[0540] Through this system, users can have an interactive and emotionally responsive learning experience, which can improve learning effectiveness and provide a more enjoyable learning environment.

[0541] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0542] Step 1:

[0543] The user opens a specific page in a special book and holds a device (AI pen or smart glasses) over the page. At this time, the device reads the identification data embedded in the book. The identification data is stored in an IC chip or QR code and is read by the device's sensor.

[0544] input

[0545] Identification data for book pages

[0546] Data Processing

[0547] The device scans the identification data and extracts it as digital data.

[0548] output

[0549] Identification data is passed to the terminal

[0550] Step 2:

[0551] The terminal transmits the read identification data to a server via wireless communication, which receives the identification data and retrieves relevant educational content from a database.

[0552] input

[0553] Identification Data

[0554] Data Processing

[0555] The server converts the identification data into a database query to search for relevant educational content.

[0556] output

[0557] Related educational content

[0558] Step 3:

[0559] The server then transmits the acquired educational content to the terminal via wireless communication, and the terminal then presents the received educational content to the user via audio.

[0560] input

[0561] Educational Content

[0562] Data Processing

[0563] The device converts the text data of educational content into audio data.

[0564] output

[0565] Audio presentation of educational content

[0566] Step 4:

[0567] The user responds by voice, and the device collects this voice input and sends the voice data to the server.

[0568] input

[0569] User's voice response

[0570] Data Processing

[0571] The device collects voice data in digital format and sends it to a server

[0572] output

[0573] The audio data is sent to the server

[0574] Step 5:

[0575] The server analyzes the received voice data, determines whether the answer was successful, and generates supplementary explanations and related information as necessary.

[0576] input

[0577] Audio data

[0578] Data Processing

[0579] The server uses voice recognition technology to convert the voice data into text data and compares it with the answer.

[0580] Determine success or failure and generate supplementary explanations if necessary

[0581] output

[0582] Evaluation results and supplementary explanations of your answers

[0583] Step 6:

[0584] The device collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state, which is also sent to the server.

[0585] input

[0586] User voice and facial expression data

[0587] Data Processing

[0588] The device digitizes voice and facial expression data and analyzes it with an emotion engine.

[0589] Send emotional state to server

[0590] output

[0591] Emotional state data

[0592] Step 7:

[0593] The server generates appropriate feedback based on the emotional state analyzed by the emotion engine and transmits it back to the terminal.

[0594] input

[0595] Emotional state data

[0596] Data Processing

[0597] The server adjusts the feedback based on the emotional state.

[0598] Generate feedback text and audio data

[0599] output

[0600] Feedback Data

[0601] Step 8:

[0602] The terminal notifies the user of the evaluation results and supplementary explanations from the server, as well as feedback based on the user's emotional state, via voice.

[0603] input

[0604] Feedback Data

[0605] Data Processing

[0606] The device converts the feedback text data into audio data.

[0607] output

[0608] Audio feedback notification

[0609] This series of processing steps provides the user with an interactive and emotionally responsive learning experience.

[0610] 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.

[0611] 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.

[0612] 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.

[0613] [Second embodiment]

[0614] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0615] 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.

[0616] 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).

[0617] 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.

[0618] 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.

[0619] 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).

[0620] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0621] 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.

[0622] 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.

[0623] 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.

[0624] 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.

[0625] 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."

[0626] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[0627] Specific system configuration

[0628] 1. Books

[0629] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0630] 2. AI Pen

[0631] The AI ​​pen has the following features:

[0632] Identification data reading function

[0633] Voice input collection function

[0634] Audio output presentation function

[0635] Wireless communication function

[0636] 3. Server

[0637] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[0638] Program processing flow (natural language explanation)

[0639] The user selects a book and holds up the AI ​​pen

[0640] User: Open a specific page and hold the AI ​​pen over it.

[0641] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[0642] "Identification data" is data that contains information specific to a book.

[0643] The server retrieves educational content and sends it to the AI ​​pen.

[0644] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[0645] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0646] AI pen presents educational content aloud

[0647] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[0648] User answers by voice

[0649] User: Answers the quiz questions by voice.

[0650] Terminal: The AI ​​pen collects audio and sends it to the server.

[0651] Voice analysis and answer evaluation by the server

[0652] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[0653] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[0654] Notification of results and related information provided by AI pen

[0655] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[0656] Example and its operation

[0657] Picture book scene: Learning about sea creatures

[0658] 1. User selects a book

[0659] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[0660] 2. Reading identification data

[0661] Terminal: The AI ​​pen reads the identification data.

[0662] 3. Acquiring educational content

[0663] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[0664] 4. Presentation of educational content

[0665] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[0666] 5. User Responses

[0667] User: Says "It's a mammal."

[0668] Terminal: The AI ​​pen collects audio and sends it to the server.

[0669] 6. Analysis and evaluation of responses

[0670] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0671] 7. Notification of results and provision of explanations

[0672] Device: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then present the next related quiz.

[0673] The system provides an interactive learning experience, allowing users to learn effectively while having fun.

[0674] The processing flow will be explained below.

[0675] Step 1:

[0676] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[0677] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[0678] Step 2:

[0679] The terminal reads the book's identification data and transmits the data to the server.

[0680] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[0681] Step 3:

[0682] The server receives the identification data and retrieves the corresponding educational content from a database.

[0683] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[0684] Step 4:

[0685] The server sends the acquired educational content to the AI ​​pen.

[0686] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[0687] Step 5:

[0688] The device presents the received educational content to the user via audio.

[0689] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[0690] Step 6:

[0691] The user answers the quiz by voice.

[0692] Specific action: Say "It's a mammal."

[0693] Step 7:

[0694] The device collects the user's voice and sends it to the server.

[0695] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[0696] Step 8:

[0697] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[0698] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[0699] Step 9:

[0700] The server sends the analysis results and supplementary explanations to the AI ​​pen.

[0701] How it works: The server sends the analysis results data to the AI ​​pen, again via Wi-Fi or Bluetooth.

[0702] Step 10:

[0703] The device will notify the user of the result and additional explanations via voice and then ask the next quiz question.

[0704] Specific operation: The AI ​​pen announces in voice, "That's correct! Dolphins are mammals just like humans," and then reads out the next question: "Next question: How do jellyfish move?"

[0705] In this way, users can have an interactive learning experience through a series of steps.

[0706] Example 1

[0707] 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."

[0708] Conventional educational systems lack the ability to link books and electronic devices, making it difficult to present and evaluate learning content in real time. They also lack the means to efficiently analyze users' voice input and provide appropriate feedback. The purpose of this invention is to solve these problems and provide an interactive and effective learning experience.

[0709] 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.

[0710] In this invention, the server includes a means for acquiring educational content based on identification data, a means for analyzing collected voice input to determine an answer, and a means for providing the determined result and necessary explanation. This allows a user to select a book and read the identification data using an AI pen, and then acquire educational content in real time based on the identification data and present it to them by voice. Furthermore, the server can analyze the user's voice input and quickly provide accurate feedback and explanation, thereby realizing an interactive and effective learning experience.

[0711] "Identification data" is information embedded in special books that can be read by the AI ​​pen to identify specific pages or content.

[0712] "Educational content" refers to learning materials, quizzes, explanations, and other educational materials that are obtained from the server based on identification data and provided to users through the AI ​​pen.

[0713] "Voice input" refers to the voice data that users speak into the AI ​​pen when answering quizzes or questions.

[0714] "Speech recognition technology" is a technology that analyzes collected voice input and converts it into text data.

[0715] "Speech synthesis technology" is a technology that converts text data into voice data and presents it to the user through an AI pen.

[0716] "Wireless communication" is a means of communication for sending and receiving identification data, educational content, voice input, etc. between the server and the AI ​​pen.

[0717] The "server" is a computer system that manages and provides educational content based on identification data, analyzes users' voice input to determine their answers, and generates evaluation results and explanations.

[0718] "Analysis" refers to the process in which the server processes the voice data collected by the AI ​​pen to determine whether the answers are correct or not and to determine related information.

[0719] "Explanation" is an explanatory content that uses voice synthesis technology to present supplementary information and related knowledge to the user's answer.

[0720] "Feedback" refers to the act of the server analyzing the answers given by the user and notifying them via audio via the AI ​​pen.

[0721] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[0722] Specific system configuration

[0723] 1. Books

[0724] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0725] 2. AI Pen

[0726] The AI ​​pen has the following features:

[0727] Identification data reading function (e.g. QR code reader)

[0728] Ability to collect audio input (e.g. microphone)

[0729] Audio output presentation (e.g., speakers, speech synthesis technology)

[0730] Wireless communication functions (e.g. Bluetooth and Wi-Fi)

[0731] 3. Server

[0732] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. Specifically, it performs the following functions:

[0733] A means of retrieving educational content based on identification data (e.g., database search functions, MySQL)

[0734] A means of analyzing voice input (e.g., speech recognition API, Google Cloud Speech-to-Text API)

[0735] A means to evaluate the analysis results and generate explanatory notes (e.g., natural language processing, generative AI models)

[0736] Program processing flow (natural language explanation)

[0737] The user selects a book and holds up the AI ​​pen

[0738] User: Open a specific page and hold the AI ​​pen over it.

[0739] Terminal: The AI ​​pen reads the identification data in the book. This data includes an IC chip and a QR code. The read identification data is sent to the server.

[0740] The server retrieves educational content and sends it to the AI ​​pen.

[0741] Server: Receives the scanned identification data, searches the database for relevant educational content, and sends the found content to the AI ​​pen.

[0742] AI pen presents educational content aloud

[0743] Device: The AI ​​pen presents the received educational content (e.g., a quiz) to the user via audio. An example quiz question is, "Are dolphins mammals or fish?"

[0744] User answers by voice

[0745] User: Answers the quiz question by saying "It's a mammal."

[0746] Terminal: The AI ​​pen collects the user's voice and sends the voice data to the server.

[0747] Voice analysis and answer evaluation by the server

[0748] Server: Converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The analyzed text is compared with the correct answer to the quiz to determine whether it is correct or not. If the answer is correct, generates supplementary explanations and related information (e.g., "Dolphins are mammals, just like humans").

[0749] Notification of results and related information provided by AI pen

[0750] Device: The AI ​​pen notifies the user by voice of the evaluation result and supplementary explanation from the server. For example, it might say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz.

[0751] Example and its operation

[0752] Picture book scene: Learning about sea creatures

[0753] 1. User selects a book

[0754] User: Opens a special book with illustrations of sea creatures and holds the AI ​​pen over it.

[0755] 2. Reading identification data

[0756] Terminal: The AI ​​pen reads the identification data (IC chip or QR code) embedded in the book's pages. For example, it decodes it using a QR code reader. The data is then wirelessly transmitted to the server.

[0757] 3. Acquiring educational content

[0758] Server: Based on the read identification data, it searches for relevant quizzes from an educational content database (e.g., MySQL database), retrieves the relevant quiz, "Are dolphins mammals or fish?", and sends it to the AI ​​pen.

[0759] 4. Presentation of educational content

[0760] Device: The AI ​​pen receives the quiz and uses its speech synthesis function to present it to the user aloud. A text-to-speech service is used for speech synthesis.

[0761] 5. User Responses

[0762] User: Says "It's a mammal."

[0763] Device: The AI ​​pen collects the user's voice and sends the voice data to the server in a lossless format (e.g., FLAC).

[0764] 6. Analysis and evaluation of responses

[0765] Server: Converts the received voice data into text using a speech recognition API. Compares the converted text with the correct answer to the quiz, "They are mammals." If it is determined to be correct, generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0766] 7. Notification of results and provision of explanations

[0767] Device: The AI ​​pen notifies the user by voice of the evaluation result from the server ("That's right!") and a supplementary explanation ("Dolphins are mammals just like humans."), then presents a new related quiz.

[0768] Specific example (example of a prompt sentence for a generative AI model)

[0769] Prompt statement:

[0770] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[0771] Using this prompt, the generative AI model can generate specific quiz content, providing users with an interactive learning experience that allows them to learn effectively while having fun.

[0772] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0773] The flow of this system's program processing

[0774] Step 1:

[0775] User: Opens the book and holds the AI ​​pen over a specific page. The AI ​​pen's reading sensor detects and reads the identification data embedded in the page. The input is the page's identification data, and the output is the read identification data.

[0776] Step 2:

[0777] Terminal: The AI ​​pen sends the identification data it reads to the server via wireless communication (e.g., Bluetooth or Wi-Fi). The input is the read identification data, and the output is the identification data sent to the server. Specifically, the AI ​​pen's wireless communication module operates and sends the data to the server.

[0778] Step 3:

[0779] Server: The server searches the educational content database based on the identification data it receives. It retrieves the corresponding educational content (e.g., the relevant quiz) and sends it back to the AI ​​pen. The input is the identification data, and the output is the retrieved educational content. Specifically, it executes a database query using the identification data as a key to retrieve the related quiz.

[0780] Step 4:

[0781] Terminal: The AI ​​pen receives the educational content sent back from the server and uses speech synthesis technology to present it to the user aloud. The input is the received educational content, and the output is the audio quiz. Specifically, the text-to-speech module operates to read the quiz aloud.

[0782] Step 5:

[0783] User: Answers the given quiz questions by voice. The input is the quiz presented by voice, and the output is the user's voice answer data. The specific operation is that the user answers the quiz by voice.

[0784] Step 6:

[0785] Terminal: The AI ​​pen collects the user's voice response and transmits it to the server via wireless communication. The input is the user's voice response data, and the output is the voice data transmitted to the server. Specifically, the AI ​​pen's microphone operates, capturing the voice data and transmitting it to the server.

[0786] Step 7:

[0787] Server: The server converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The converted text is compared with the correct answer to the quiz to determine whether it is correct or incorrect. Supplementary explanations and related information are generated as needed. The input is the voice data, and the output is the analyzed text and its evaluation results. Specifically, the server calls the speech recognition API and compares the obtained text with the correct answer in the database.

[0788] Step 8:

[0789] Terminal: The AI ​​pen notifies the user by voice of the evaluation results and supplementary explanations sent from the server. For example, it may say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz. The input is the evaluation results and supplementary explanations, and the output is the audio feedback. Specifically, the text-to-speech module works again to provide the user with audio feedback.

[0790] Specific example (example of a prompt sentence for a generative AI model)

[0791] Prompt statement:

[0792] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[0793] Through these steps, users can learn interactively and effectively.

[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] Factory worker training is typically conducted while referring to a vast amount of procedures and manuals, but this poses challenges in work efficiency and comprehension. Effective education and training also requires a great deal of time and effort, and it is difficult to provide appropriate feedback and explanations to individual workers. This results in insufficient effectiveness in improving worker skills and ensuring safety.

[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: means for reading identification data from a dedicated medium; means for acquiring training content based on the identification data; means for audibly presenting the acquired training content; means for collecting voice input from the worker; means for analyzing the collected voice input and determining the answer; means for providing the determined result and necessary explanation; means for wirelessly transmitting the identification data to the server and displaying the training content returned from the server; and means for analyzing the voice input and generating appropriate feedback using a generative AI model. This allows workers to receive appropriate training and feedback in real time. Furthermore, it is possible to provide education tailored to individual skill levels and levels of understanding, thereby improving work efficiency and ensuring safety.

[0799] A "specialized medium" is a medium containing specific information with embedded identifying data.

[0800] "Identification data" refers to data embedded in a dedicated medium that identifies specific content or information.

[0801] A "reading means" is a device or technology for extracting identification data from a dedicated medium.

[0802] "Training content" refers to the content of work procedures, educational materials, etc., acquired based on identification data.

[0803] The "means for presenting by voice" refers to a device or technology for outputting acquired training content as voice.

[0804] The "means for collecting voice input from the worker" is a technology for recognizing the voice of the worker and collecting it as data.

[0805] The "means for analyzing collected voice inputs and determining answers" is a technology for analyzing collected voice data and determining whether the content is correct or incorrect.

[0806] "Means for providing the judged results and necessary explanations" refers to technology or devices that provide feedback or additional explanations to the worker based on the analysis results of the voice input.

[0807] "Means for transmitting identification data to a server via wireless communication and displaying training content returned from the server" refers to a technology for using communication technology to transmit identification data to a server, and then acquiring and displaying the returned training content.

[0808] "Means for analyzing voice input and generating appropriate feedback using a generative AI model" refers to technology that utilizes an artificial intelligence model to analyze voice data and generate optimal feedback.

[0809] The system embodying the present invention is intended to support the training of workers in a factory. A specific embodiment of the system will be described below.

[0810] System Configuration

[0811] 1. Dedicated media

[0812] Each page of the factory's training manuals has identification data embedded in it, which is implemented as a QR code or IC chip and can be read by the AI ​​pen.

[0813] 2. AI Pen

[0814] The AI ​​pen has the following features:

[0815] Identification data reading function

[0816] Voice input collection function

[0817] Audio output presentation function

[0818] Wireless communication function

[0819] 3. Server

[0820] The server manages and provides training content based on the identification data, analyzes the worker's voice input, determines whether the answer is correct, and generates appropriate feedback using a generative AI model.

[0821] Program processing explanation

[0822] The server manages a series of processes, starting with reading the identification data, acquiring the training content, presenting it via audio output, collecting and analyzing audio input, and generating feedback.

[0823] Hardware

[0824] AI Pen: A device equipped with a QR code / IC chip reader, microphone, speaker, and wireless communication functions

[0825] Factory training manuals: paper or digital with embedded identifying data

[0826] Server: Central server for data management and analysis

[0827] software

[0828] qrcode library: generate and read identification data

[0829] speech_recognition library: Collecting and recognizing speech input

[0830] gTTS (Google Text-to-Speech) library: Generates audio feedback

[0831] The requests library: Communicating with the server

[0832] Specific examples

[0833] To review a specific work procedure, a worker opens the training manual to the appropriate page and then holds the AI ​​pen over the QR code or IC chip on that page to read the identification data.

[0834] The server retrieves relevant training content from a database based on the scanned identification data and sends it to the AI ​​pen, which then presents the content aloud and instructs the worker on work procedures and important points to note.

[0835] When a worker voices a question or confirmation, the AI ​​pen collects the input and sends it to the server, which uses a generative AI model to analyze the voice input and generate appropriate feedback or next steps, which are then presented aloud via the AI ​​pen.

[0836] Prompt Sentence Examples

[0837] Please explain the steps on this page.

[0838] "What should I pay attention to in the next step?"

[0839] "Please confirm the correct procedure for this task."

[0840] This system allows workers to receive appropriate training and feedback in real time, and makes it possible to provide education tailored to each worker's skill level and understanding, thereby improving work efficiency and ensuring safety.

[0841] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0842] Step 1:

[0843] To read the identification data from the dedicated medium, the user holds the AI ​​pen over the QR code or IC chip on the medium.

[0844] Input: Dedicated media, AI pen

[0845] Output: Identification data

[0846] Step 2:

[0847] The terminal acquires the identification data through the AI ​​pen and transmits it to the server using its wireless communication function.

[0848] Input: Identification data, AI pen, terminal wireless communication function

[0849] Output: Identification data sent to the server

[0850] Step 3:

[0851] The server analyzes the received identification data and retrieves the corresponding training content from the database.

[0852] Input: Identification data, Server, Database

[0853] Output: Training content

[0854] Step 4:

[0855] The server transmits the acquired training content to the terminal.

[0856] Input: Training content, server

[0857] Output: Training content sent to your device

[0858] Step 5:

[0859] The device uses an AI pen to present training content to the user via audio.

[0860] Input: Training content sent to the device, AI pen voice output function

[0861] Output: Training content presented audibly

[0862] Step 6:

[0863] The user answers and asks questions by voice in response to the training content presented to them.

[0864] Input: Presented training content, user speech

[0865] Output: User's voice input

[0866] Step 7:

[0867] The device collects the user's voice input through the AI ​​pen and sends it to the server.

[0868] Input: User voice input, AI pen microphone function, device wireless communication function

[0869] Output: Audio data sent to the server

[0870] Step 8:

[0871] The server analyzes the collected voice data, determines whether the answer is correct, and uses a generative AI model to generate the necessary feedback and explanations.

[0872] Input: Voice data, server, generative AI model

[0873] Output: Feedback and Commentary

[0874] Step 9:

[0875] The server sends generated feedback and commentary to the device.

[0876] Input: Generated feedback and commentary, server

[0877] Output: Feedback and commentary sent to the terminal

[0878] Step 10:

[0879] The device uses the AI ​​pen to provide the user with audio feedback and explanations.

[0880] Input: Feedback and commentary sent to device, AI pen voice output function

[0881] Output: Audio feedback and commentary

[0882] This allows workers to receive appropriate training and feedback in real time.

[0883] 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.

[0884] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[0885] Specific system configuration

[0886] 1. Books

[0887] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0888] 2. AI Pen

[0889] The AI ​​pen has the following features:

[0890] Identification data reading function

[0891] Voice input collection function

[0892] Audio output presentation function

[0893] Wireless communication function

[0894] Emotion engine included

[0895] 3. Server

[0896] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[0897] Program processing flow (natural language explanation)

[0898] The user selects a book and holds up the AI ​​pen

[0899] User: Open a specific page and hold the AI ​​pen over it.

[0900] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[0901] "Identification data" is data that contains information specific to a book.

[0902] The server retrieves educational content and sends it to the AI ​​pen.

[0903] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[0904] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0905] AI pen presents educational content aloud

[0906] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[0907] User answers by voice

[0908] User: Answers the quiz questions by voice.

[0909] Terminal: The AI ​​pen collects audio and sends it to the server.

[0910] Voice analysis and answer evaluation by the server

[0911] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[0912] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[0913] Emotion recognition by emotion engine

[0914] Device: The AI ​​pen collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state.

[0915] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[0916] Emotional state evaluation and feedback generation on the server

[0917] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[0918] For example, if the user is confused, provide more detailed explanations.

[0919] Notification of results and related information provided by AI pen

[0920] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[0921] Example and its operation

[0922] Picture book scene: Learning about sea creatures

[0923] 1. User selects a book

[0924] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[0925] 2. Reading identification data

[0926] Terminal: The AI ​​pen reads the identification data.

[0927] 3. Acquiring educational content

[0928] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[0929] 4. Presentation of educational content

[0930] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[0931] 5. User Responses

[0932] User: Says "It's a mammal."

[0933] Terminal: The AI ​​pen collects audio and sends it to the server.

[0934] 6. Analysis and evaluation of responses

[0935] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[0936] 7. Emotion recognition

[0937] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[0938] 8. Emotion-Based Feedback

[0939] Server: Tailor the necessary feedback and educational content based on the user’s emotional state. For example, if the user is confused, encourage them to “ask again if you don’t understand.”

[0940] 9. Notification of results and provision of explanations

[0941] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[0942] Through this system, users can have an interactive and emotionally responsive learning experience.

[0943] The processing flow will be explained below.

[0944] Step 1:

[0945] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[0946] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[0947] Step 2:

[0948] The terminal reads the book's identification data and transmits the data to the server.

[0949] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[0950] Step 3:

[0951] The server receives the identification data and retrieves the corresponding educational content from a database.

[0952] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[0953] Step 4:

[0954] The server sends the acquired educational content to the AI ​​pen.

[0955] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[0956] Step 5:

[0957] The device presents the received educational content to the user via audio.

[0958] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[0959] Step 6:

[0960] The user answers the quiz by voice.

[0961] Specific action: Say "It's a mammal."

[0962] Step 7:

[0963] The device collects the user's voice and sends it to the server.

[0964] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[0965] Step 8:

[0966] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[0967] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[0968] Step 9:

[0969] The device collects the user's voice and facial expressions, analyzes them using an emotion engine, and sends the emotional state to the server.

[0970] Specific operation: Using the microphone and camera built into the AI ​​pen, the user's voice and facial expression data is collected and analyzed in real time by the emotion engine.

[0971] Step 10:

[0972] The server receives the analysis results of the emotion engine and adjusts the feedback and educational content according to the user's emotional state.

[0973] Specific operation: The server analyzes the emotional state data received from the emotion engine and generates content that provides a more detailed explanation if the user is confused, or suggests a new challenge if the user is excited.

[0974] Step 11:

[0975] The device notifies the user via voice of the adjusted feedback and additional educational content received from the server.

[0976] Specific operation: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then, depending on the user's emotional state, will present a new quiz question: "Next question: How do jellyfish move?"

[0977] In this way, users can experience an emotionally responsive and interactive learning experience through a series of steps.

[0978] Example 2

[0979] 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."

[0980] Conventional educational systems only provide static content to supplement the content of books, and have the problem of being unable to provide dynamic feedback based on the user's level of understanding or emotions. Furthermore, there are insufficient means for analyzing users' voice responses, making it difficult for users to receive appropriate feedback in real time when answering quizzes. Furthermore, since educational content cannot be adjusted based on the user's emotional state, it is difficult to respond to individual learning needs.

[0981] 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.

[0982] In this invention, the server includes means for acquiring educational content based on the identification data, means for analyzing the collected voice input to determine the answer, and means for adjusting the feedback and educational content based on the user's emotional state, thereby enabling dynamic feedback according to the user's level of understanding and emotional state.

[0983] A "dedicated book" is a specific book with embedded identification data and containing information that can be read by an AI pen.

[0984] "Identification data" refers to information data embedded within a book, and is composed of an IC chip, QR code, etc., and is data used to identify information on a specific page.

[0985] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[0986] "Voice input" is voice data uttered by the user, and is information used for answering quizzes, etc.

[0987] "Analysis" is the means of analyzing collected voice input to determine whether it is correct or incorrect, or its emotional state.

[0988] An "emotion engine" is software or hardware that recognizes and analyzes a user's emotional state based on their voice and facial expression data.

[0989] "Feedback" is additional information or advice provided to the user based on the analysis results and emotion recognition.

[0990] "Wireless communication" refers to a means of communication for sending and receiving data between an AI pen and a server, and is a technology that includes Wi-Fi.

[0991] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[0992] System Configuration

[0993] books

[0994] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[0995] AI Pen

[0996] The AI ​​pen is a device with the following features:

[0997] Identification data reading function: Ability to read IC chips and QR codes inside books.

[0998] Voice input collection function: A function that recognizes the user's voice and collects it as voice data.

[0999] Audio output presentation function: A function that presents acquired educational content to users via audio.

[1000] Wireless communication functions: Communication functions such as Wi-Fi for sending and receiving data with the server.

[1001] Emotion engine: Software and hardware for recognizing and analyzing the user's emotional state.

[1002] server

[1003] The server is responsible for managing and providing educational content based on the identification data. It also has the function of analyzing the user's voice input and determining whether the answer was correct or not. The server has the following functions:

[1004] Educational content retrieval function: Retrieving relevant educational content from a database based on the received identification data.

[1005] Voice data analysis function: A function that analyzes the user's voice input and determines whether it is correct or incorrect.

[1006] Emotion recognition result processing function: A function that accepts the analysis results of the inserted emotion engine and adjusts the feedback and educational content provided.

[1007] Specific examples

[1008] Scenario: Learning about sea creatures

[1009] Let's say a user opens a special book and holds up the AI ​​pen to learn about "ocean creatures." The specific behavior is as follows:

[1010] 1. User selects a book

[1011] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[1012] 2. Reading identification data

[1013] Terminal: The AI ​​pen reads the identification data.

[1014] 3. Acquiring educational content

[1015] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[1016] 4. Presentation of educational content

[1017] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[1018] 5. User Responses

[1019] User: Says "It's a mammal."

[1020] Terminal: The AI ​​pen collects audio and sends it to the server.

[1021] 6. Analysis and evaluation of responses

[1022] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1023] 7. Emotion recognition

[1024] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[1025] 8. Emotion-Based Feedback

[1026] Server: Tailor the necessary feedback and educational content based on the user's emotional state. For example, if the user is confused, prompt them with "If you don't understand, please ask again."

[1027] 9. Notification of results and provision of explanations

[1028] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[1029] Example prompts to input to the generative AI model

[1030] After the user holds the AI ​​pen over a specified page to read the identification data, retrieve the educational content related to that page and provide audio guidance. After the user answers the question, use the emotion engine to analyze the user's emotions and provide appropriate feedback. For example, if a user answers "Are dolphins mammals or fish?" to the question "Are they mammals?", evaluate the answer and provide additional information such as "Dolphins are mammals just like humans." If the user is confused, provide further explanation.

[1031] Through this system, users can have an interactive and emotionally responsive learning experience.

[1032] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1033] Step 1:

[1034] User: Open a specific page and hold the AI ​​pen over it.

[1035] Input: The book page selected by the user.

[1036] Output: Identification data is read by the AI ​​pen.

[1037] Step 2:

[1038] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[1039] Input: Identification data obtained from an IC chip, QR code, etc.

[1040] Output: The identification data sent to the server.

[1041] Specific operation: The AI ​​pen's sensor captures data from the IC chip and sends it to the server via Wi-Fi.

[1042] Step 3:

[1043] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[1044] Input: The identification data received by the server.

[1045] Output: Educational content is sent to the AI ​​pen.

[1046] Specific operation: The server searches the database, retrieves the relevant educational content, and transmits it to the AI ​​pen via wireless communication.

[1047] Step 4:

[1048] Terminal: The AI ​​pen presents the received educational content to the user via audio.

[1049] Input: Educational content received from the server.

[1050] Output: Educational content presented audibly to the user.

[1051] Specific operation: The AI ​​pen uses a speaker to ask a quiz question aloud: "Are dolphins mammals or fish?"

[1052] Step 5:

[1053] User: Answers the quiz questions by voice.

[1054] Terminal: The AI ​​pen collects audio and sends it to the server.

[1055] Input: A spoken response from the user.

[1056] Output: The audio data sent to the server.

[1057] Specific operation: The user's answers are captured via microphone and sent to the server via Wi-Fi.

[1058] Step 6:

[1059] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[1060] Input: User's voice data.

[1061] Output: Correct / incorrect answer and additional explanation.

[1062] Specific operation: The data is analyzed using a voice analysis algorithm, and if it is determined to be correct, a supplementary explanation such as "Dolphins are mammals just like humans" is generated.

[1063] Step 7:

[1064] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes their emotional state using an emotion engine, and transmits the emotional state to the server.

[1065] Input: User's voice and facial expression data.

[1066] Output: Emotional state data sent to the server.

[1067] Specific operation: Voice and facial expressions are captured using a microphone and sensors, and the results are analyzed by the emotion engine and sent to the server.

[1068] Step 8:

[1069] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[1070] Input: Emotional state data.

[1071] Output: Tailored feedback and educational content.

[1072] Specific Action: If the user is confused, generate feedback that encourages them to "Ask again if you don't understand."

[1073] Step 9:

[1074] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice.

[1075] Input: Evaluation result and supplementary explanation sent from the server.

[1076] Output: Results and additional explanations presented to the user aloud.

[1077] Specific action: The AI ​​pen announces through the speaker, "That's right! Dolphins are mammals just like humans," and then asks the next question.

[1078] (Application example 2)

[1079] 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."

[1080] Conventional educational systems have been unable to recognize a user's emotional state and adjust learning content and feedback accordingly. This often leaves users confused or disinterested in learning. Furthermore, educational content lacking interactivity reduces learning effectiveness. The objective of this invention is to solve these problems and provide a system that supports effective learning by providing feedback according to the user's emotional state.

[1081] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for reading identification data embedded in a dedicated book, means for acquiring educational content based on the read identification data, means for presenting the acquired educational content by voice, means for collecting voice input from the user, means for analyzing the collected voice input and determining an answer, means for providing the determined result and necessary explanation, means for recognizing the user's emotional state, and means for adjusting feedback based on the emotional state. This enables an interactive and effective learning experience that is tailored to the user's emotional state.

[1082] "Book" means a document in print or digital form containing educational content that is used to deliver specific learning content.

[1083] "Identification data" refers to data containing unique information embedded in a book, and is implemented in the form of an IC chip, QR code, or the like.

[1084] "Educational content" refers to learning materials such as study materials, quizzes, and explanations provided based on identification data.

[1085] The "AI Pen" is a pen-shaped device that can read identification data, collect voice input, provide voice output, communicate wirelessly, and has an emotion engine.

[1086] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[1087] "Emotional state" refers to the user's emotional reactions during learning, such as confusion, interest, or delight.

[1088] "Wireless communication" refers to a data communication means for transmitting identification data to a server and receiving educational content returned from the server.

[1089] "Voice input" refers to voice instructions or responses given by a user to a device.

[1090] "Feedback" refers to responses such as additional explanations or suggestions for the next learning content that are provided based on the user's answers and emotional state.

[1091] A "server" is a computer system that is responsible for managing and providing educational content based on identification data.

[1092] "User" refers to a person who uses this system to learn educational content.

[1093] "Smart glasses" are eyeglass-type wearable devices that provide visual and audio information when worn by the user and are equipped with a camera and voice recognition functions.

[1094] To implement this invention, a system combining a dedicated book, an AI pen, a server, and an emotion engine is required. A specific embodiment is shown below.

[1095] System Configuration

[1096] 1. Exclusive Books:

[1097] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by an AI pen or smart glasses.

[1098] 2. AI pen and smart glasses:

[1099] The AI ​​pen is equipped with a camera and voice recognition function, allowing users to hold it over books to read their identification data and provide educational content via voice.

[1100] 3. Server:

[1101] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. It also generates appropriate feedback based on the user's emotional state analyzed using an emotion engine.

[1102] Program processing flow

[1103] 1. Open the book and hold the AI ​​pen or smart glasses over the page:

[1104] The user opens a specific page and holds the AI ​​pen or smart glasses over it, which reads the identification data and sends it to the server.

[1105] 2. Acquiring and Presenting Educational Content:

[1106] The server retrieves educational content from the database based on the identification data and sends it to the AI ​​pen or smart glasses, which then presents the retrieved educational content to the user via audio.

[1107] 3. User voice input and answer evaluation:

[1108] The user answers the presented educational content (e.g., a quiz) by voice. The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines whether the answer was correct. It also generates supplementary explanations and related information as needed.

[1109] 4. Emotion recognition and feedback generation by emotion engine:

[1110] The AI ​​pen or smart glasses collects the user's voice and facial expressions, analyzes them with an emotion engine, and transmits the emotional state to the server. The server then adjusts the feedback and educational content based on the emotional state analyzed by the emotion engine and transmits it to the AI ​​pen or smart glasses.

[1111] 5. Notification of results and provision of related information:

[1112] The AI ​​pen or smart glasses will notify the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's right!" and provide further explanations.

[1113] Specific examples

[1114] Picture book scene: Learning about sea creatures

[1115] 1. User selects a book:

[1116] The user opens a special book depicting marine life and holds up an AI pen or smart glasses.

[1117] 2. Reading identification data:

[1118] The AI ​​pen or smart glasses read the identification data and send it to the server.

[1119] 3. Acquiring and Presenting Educational Content:

[1120] The server retrieves relevant educational content from the database and sends it to the AI ​​pen or smart glasses, for example, presenting a quiz question such as "Are dolphins mammals or fish?"

[1121] 4. User answers and ratings:

[1122] The user answers verbally, "They are mammals." The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines that the answer is correct. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1123] 5. Emotion Recognition and Feedback:

[1124] The AI ​​pen or smart glasses collect the user's voice and facial expressions, analyze their emotional state using an emotion engine, and send the results to the server. Based on the emotional state, the server provides feedback, such as "If you don't understand, please ask again" if the user is confused.

[1125] 6. Notification of results and provision of related information:

[1126] The AI ​​pen or smart glasses will announce, "That's right! Dolphins are mammals just like humans," and then present the next quiz question: "Next question: How do jellyfish move?"

[1127] Prompt Sentence Examples

[1128] "This is a simulated training for a virtual bookstore. Users read the book 'Life in the Sea' and answer the following quiz: Are dolphins mammals or fish?"

[1129] Through this system, users can have an interactive and emotionally responsive learning experience, which can improve learning effectiveness and provide a more enjoyable learning environment.

[1130] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1131] Step 1:

[1132] The user opens a specific page in a special book and holds a device (AI pen or smart glasses) over the page. At this time, the device reads the identification data embedded in the book. The identification data is stored in an IC chip or QR code and is read by the device's sensor.

[1133] input

[1134] Identification data for book pages

[1135] Data Processing

[1136] The device scans the identification data and extracts it as digital data.

[1137] output

[1138] Identification data is passed to the terminal

[1139] Step 2:

[1140] The terminal transmits the read identification data to a server via wireless communication, which receives the identification data and retrieves relevant educational content from a database.

[1141] input

[1142] Identification Data

[1143] Data Processing

[1144] The server converts the identification data into a database query to search for relevant educational content.

[1145] output

[1146] Related educational content

[1147] Step 3:

[1148] The server then transmits the acquired educational content to the terminal via wireless communication, and the terminal then presents the received educational content to the user via audio.

[1149] input

[1150] Educational Content

[1151] Data Processing

[1152] The device converts the text data of educational content into audio data.

[1153] output

[1154] Audio presentation of educational content

[1155] Step 4:

[1156] The user responds by voice, and the device collects this voice input and sends the voice data to the server.

[1157] input

[1158] User's voice response

[1159] Data Processing

[1160] The device collects voice data in digital format and sends it to a server

[1161] output

[1162] The audio data is sent to the server

[1163] Step 5:

[1164] The server analyzes the received voice data, determines whether the answer was successful, and generates supplementary explanations and related information as necessary.

[1165] input

[1166] Audio data

[1167] Data Processing

[1168] The server uses voice recognition technology to convert the voice data into text data and compares it with the answer.

[1169] Determine success or failure and generate supplementary explanations if necessary

[1170] output

[1171] Evaluation results and supplementary explanations of your answers

[1172] Step 6:

[1173] The device collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state, which is also sent to the server.

[1174] input

[1175] User voice and facial expression data

[1176] Data Processing

[1177] The device digitizes voice and facial expression data and analyzes it with an emotion engine.

[1178] Send emotional state to server

[1179] output

[1180] Emotional state data

[1181] Step 7:

[1182] The server generates appropriate feedback based on the emotional state analyzed by the emotion engine and transmits it back to the terminal.

[1183] input

[1184] Emotional state data

[1185] Data Processing

[1186] The server adjusts the feedback based on the emotional state.

[1187] Generate feedback text and audio data

[1188] output

[1189] Feedback Data

[1190] Step 8:

[1191] The terminal notifies the user of the evaluation results and supplementary explanations from the server, as well as feedback based on the user's emotional state, via voice.

[1192] input

[1193] Feedback Data

[1194] Data Processing

[1195] The device converts the feedback text data into audio data.

[1196] output

[1197] Audio feedback notification

[1198] This series of processing steps provides the user with an interactive and emotionally responsive learning experience.

[1199] 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.

[1200] 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.

[1201] 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.

[1202] [Third embodiment]

[1203] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1204] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1205] 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).

[1206] 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.

[1207] 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.

[1208] 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).

[1209] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1210] 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.

[1211] 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.

[1212] 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.

[1213] 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.

[1214] 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."

[1215] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[1216] Specific system configuration

[1217] 1. Books

[1218] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[1219] 2. AI Pen

[1220] The AI ​​pen has the following features:

[1221] Identification data reading function

[1222] Voice input collection function

[1223] Audio output presentation function

[1224] Wireless communication function

[1225] 3. Server

[1226] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[1227] Program processing flow (natural language explanation)

[1228] The user selects a book and holds up the AI ​​pen

[1229] User: Open a specific page and hold the AI ​​pen over it.

[1230] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[1231] "Identification data" is data that contains information specific to a book.

[1232] The server retrieves educational content and sends it to the AI ​​pen.

[1233] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[1234] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[1235] AI pen presents educational content aloud

[1236] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[1237] User answers by voice

[1238] User: Answers the quiz questions by voice.

[1239] Terminal: The AI ​​pen collects audio and sends it to the server.

[1240] Voice analysis and answer evaluation by the server

[1241] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[1242] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[1243] Notification of results and related information provided by AI pen

[1244] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[1245] Example and its operation

[1246] Picture book scene: Learning about sea creatures

[1247] 1. User selects a book

[1248] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[1249] 2. Reading identification data

[1250] Terminal: The AI ​​pen reads the identification data.

[1251] 3. Acquiring educational content

[1252] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[1253] 4. Presentation of educational content

[1254] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[1255] 5. User Responses

[1256] User: Says "It's a mammal."

[1257] Terminal: The AI ​​pen collects audio and sends it to the server.

[1258] 6. Analysis and evaluation of responses

[1259] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1260] 7. Notification of results and provision of explanations

[1261] Device: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then present the next related quiz.

[1262] The system provides an interactive learning experience, allowing users to learn effectively while having fun.

[1263] The processing flow will be explained below.

[1264] Step 1:

[1265] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[1266] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[1267] Step 2:

[1268] The terminal reads the book's identification data and transmits the data to the server.

[1269] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[1270] Step 3:

[1271] The server receives the identification data and retrieves the corresponding educational content from a database.

[1272] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[1273] Step 4:

[1274] The server sends the acquired educational content to the AI ​​pen.

[1275] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[1276] Step 5:

[1277] The device presents the received educational content to the user via audio.

[1278] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[1279] Step 6:

[1280] The user answers the quiz by voice.

[1281] Specific action: Say "It's a mammal."

[1282] Step 7:

[1283] The device collects the user's voice and sends it to the server.

[1284] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[1285] Step 8:

[1286] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[1287] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[1288] Step 9:

[1289] The server sends the analysis results and supplementary explanations to the AI ​​pen.

[1290] How it works: The server sends the analysis results data to the AI ​​pen, again via Wi-Fi or Bluetooth.

[1291] Step 10:

[1292] The device will notify the user of the result and additional explanations via voice and then ask the next quiz question.

[1293] Specific operation: The AI ​​pen announces in voice, "That's correct! Dolphins are mammals just like humans," and then reads out the next question: "Next question: How do jellyfish move?"

[1294] In this way, users can have an interactive learning experience through a series of steps.

[1295] Example 1

[1296] 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."

[1297] Conventional educational systems lack the ability to link books and electronic devices, making it difficult to present and evaluate learning content in real time. They also lack the means to efficiently analyze users' voice input and provide appropriate feedback. The purpose of this invention is to solve these problems and provide an interactive and effective learning experience.

[1298] 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.

[1299] In this invention, the server includes a means for acquiring educational content based on identification data, a means for analyzing collected voice input to determine an answer, and a means for providing the determined result and necessary explanation. This allows a user to select a book and read the identification data using an AI pen, and then acquire educational content in real time based on the identification data and present it to them by voice. Furthermore, the server can analyze the user's voice input and quickly provide accurate feedback and explanation, thereby realizing an interactive and effective learning experience.

[1300] "Identification data" is information embedded in special books that can be read by the AI ​​pen to identify specific pages or content.

[1301] "Educational content" refers to learning materials, quizzes, explanations, and other educational materials that are obtained from the server based on identification data and provided to users through the AI ​​pen.

[1302] "Voice input" refers to the voice data that users speak into the AI ​​pen when answering quizzes or questions.

[1303] "Speech recognition technology" is a technology that analyzes collected voice input and converts it into text data.

[1304] "Speech synthesis technology" is a technology that converts text data into voice data and presents it to the user through an AI pen.

[1305] "Wireless communication" is a means of communication for sending and receiving identification data, educational content, voice input, etc. between the server and the AI ​​pen.

[1306] The "server" is a computer system that manages and provides educational content based on identification data, analyzes users' voice input to determine their answers, and generates evaluation results and explanations.

[1307] "Analysis" refers to the process in which the server processes the voice data collected by the AI ​​pen to determine whether the answers are correct or not and to determine related information.

[1308] "Explanation" is an explanatory content that uses voice synthesis technology to present supplementary information and related knowledge to the user's answer.

[1309] "Feedback" refers to the act of the server analyzing the answers given by the user and notifying them via audio via the AI ​​pen.

[1310] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[1311] Specific system configuration

[1312] 1. Books

[1313] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[1314] 2. AI Pen

[1315] The AI ​​pen has the following features:

[1316] Identification data reading function (e.g. QR code reader)

[1317] Ability to collect audio input (e.g. microphone)

[1318] Audio output presentation (e.g., speakers, speech synthesis technology)

[1319] Wireless communication functions (e.g. Bluetooth and Wi-Fi)

[1320] 3. Server

[1321] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. Specifically, it performs the following functions:

[1322] A means of retrieving educational content based on identification data (e.g., database search functions, MySQL)

[1323] A means of analyzing voice input (e.g., speech recognition API, Google Cloud Speech-to-Text API)

[1324] A means to evaluate the analysis results and generate explanatory notes (e.g., natural language processing, generative AI models)

[1325] Program processing flow (natural language explanation)

[1326] The user selects a book and holds up the AI ​​pen

[1327] User: Open a specific page and hold the AI ​​pen over it.

[1328] Terminal: The AI ​​pen reads the identification data in the book. This data includes an IC chip and a QR code. The read identification data is sent to the server.

[1329] The server retrieves educational content and sends it to the AI ​​pen.

[1330] Server: Receives the scanned identification data, searches the database for relevant educational content, and sends the found content to the AI ​​pen.

[1331] AI pen presents educational content aloud

[1332] Device: The AI ​​pen presents the received educational content (e.g., a quiz) to the user via audio. An example quiz question is, "Are dolphins mammals or fish?"

[1333] User answers by voice

[1334] User: Answers the quiz question by saying "It's a mammal."

[1335] Terminal: The AI ​​pen collects the user's voice and sends the voice data to the server.

[1336] Voice analysis and answer evaluation by the server

[1337] Server: Converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The analyzed text is compared with the correct answer to the quiz to determine whether it is correct or not. If the answer is correct, generates supplementary explanations and related information (e.g., "Dolphins are mammals, just like humans").

[1338] Notification of results and related information provided by AI pen

[1339] Device: The AI ​​pen notifies the user by voice of the evaluation result and supplementary explanation from the server. For example, it might say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz.

[1340] Example and its operation

[1341] Picture book scene: Learning about sea creatures

[1342] 1. User selects a book

[1343] User: Opens a special book with illustrations of sea creatures and holds the AI ​​pen over it.

[1344] 2. Reading identification data

[1345] Terminal: The AI ​​pen reads the identification data (IC chip or QR code) embedded in the book's pages. For example, it decodes it using a QR code reader. The data is then wirelessly transmitted to the server.

[1346] 3. Acquiring educational content

[1347] Server: Based on the read identification data, it searches for relevant quizzes from an educational content database (e.g., MySQL database), retrieves the relevant quiz, "Are dolphins mammals or fish?", and sends it to the AI ​​pen.

[1348] 4. Presentation of educational content

[1349] Device: The AI ​​pen receives the quiz and uses its speech synthesis function to present it to the user aloud. A text-to-speech service is used for speech synthesis.

[1350] 5. User Responses

[1351] User: Says "It's a mammal."

[1352] Device: The AI ​​pen collects the user's voice and sends the voice data to the server in a lossless format (e.g., FLAC).

[1353] 6. Analysis and evaluation of responses

[1354] Server: Converts the received voice data into text using a speech recognition API. Compares the converted text with the correct answer to the quiz, "They are mammals." If it is determined to be correct, generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1355] 7. Notification of results and provision of explanations

[1356] Device: The AI ​​pen notifies the user by voice of the evaluation result from the server ("That's right!") and a supplementary explanation ("Dolphins are mammals just like humans."), then presents a new related quiz.

[1357] Specific example (example of a prompt sentence for a generative AI model)

[1358] Prompt statement:

[1359] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[1360] Using this prompt, the generative AI model can generate specific quiz content, providing users with an interactive learning experience that allows them to learn effectively while having fun.

[1361] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1362] The flow of this system's program processing

[1363] Step 1:

[1364] User: Opens the book and holds the AI ​​pen over a specific page. The AI ​​pen's reading sensor detects and reads the identification data embedded in the page. The input is the page's identification data, and the output is the read identification data.

[1365] Step 2:

[1366] Terminal: The AI ​​pen sends the identification data it reads to the server via wireless communication (e.g., Bluetooth or Wi-Fi). The input is the read identification data, and the output is the identification data sent to the server. Specifically, the AI ​​pen's wireless communication module operates and sends the data to the server.

[1367] Step 3:

[1368] Server: The server searches the educational content database based on the identification data it receives. It retrieves the corresponding educational content (e.g., the relevant quiz) and sends it back to the AI ​​pen. The input is the identification data, and the output is the retrieved educational content. Specifically, it executes a database query using the identification data as a key to retrieve the related quiz.

[1369] Step 4:

[1370] Terminal: The AI ​​pen receives the educational content sent back from the server and uses speech synthesis technology to present it to the user aloud. The input is the received educational content, and the output is the audio quiz. Specifically, the text-to-speech module operates to read the quiz aloud.

[1371] Step 5:

[1372] User: Answers the given quiz questions by voice. The input is the quiz presented by voice, and the output is the user's voice answer data. The specific operation is that the user answers the quiz by voice.

[1373] Step 6:

[1374] Terminal: The AI ​​pen collects the user's voice response and transmits it to the server via wireless communication. The input is the user's voice response data, and the output is the voice data transmitted to the server. Specifically, the AI ​​pen's microphone operates, capturing the voice data and transmitting it to the server.

[1375] Step 7:

[1376] Server: The server converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The converted text is compared with the correct answer to the quiz to determine whether it is correct or incorrect. Supplementary explanations and related information are generated as needed. The input is the voice data, and the output is the analyzed text and its evaluation results. Specifically, the server calls the speech recognition API and compares the obtained text with the correct answer in the database.

[1377] Step 8:

[1378] Terminal: The AI ​​pen notifies the user by voice of the evaluation results and supplementary explanations sent from the server. For example, it may say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz. The input is the evaluation results and supplementary explanations, and the output is the audio feedback. Specifically, the text-to-speech module works again to provide the user with audio feedback.

[1379] Specific example (example of a prompt sentence for a generative AI model)

[1380] Prompt statement:

[1381] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[1382] Through these steps, users can learn interactively and effectively.

[1383] (Application example 1)

[1384] 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."

[1385] Factory worker training is typically conducted while referring to a vast amount of procedures and manuals, but this poses challenges in work efficiency and comprehension. Effective education and training also requires a great deal of time and effort, and it is difficult to provide appropriate feedback and explanations to individual workers. This results in insufficient effectiveness in improving worker skills and ensuring safety.

[1386] 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.

[1387] In this invention, the server includes: means for reading identification data from a dedicated medium; means for acquiring training content based on the identification data; means for audibly presenting the acquired training content; means for collecting voice input from the worker; means for analyzing the collected voice input and determining the answer; means for providing the determined result and necessary explanation; means for wirelessly transmitting the identification data to the server and displaying the training content returned from the server; and means for analyzing the voice input and generating appropriate feedback using a generative AI model. This allows workers to receive appropriate training and feedback in real time. Furthermore, it is possible to provide education tailored to individual skill levels and levels of understanding, thereby improving work efficiency and ensuring safety.

[1388] A "specialized medium" is a medium containing specific information with embedded identifying data.

[1389] "Identification data" refers to data embedded in a dedicated medium that identifies specific content or information.

[1390] A "reading means" is a device or technology for extracting identification data from a dedicated medium.

[1391] "Training content" refers to the content of work procedures, educational materials, etc., acquired based on identification data.

[1392] The "means for presenting by voice" refers to a device or technology for outputting acquired training content as voice.

[1393] The "means for collecting voice input from the worker" is a technology for recognizing the voice of the worker and collecting it as data.

[1394] The "means for analyzing collected voice inputs and determining answers" is a technology for analyzing collected voice data and determining whether the content is correct or incorrect.

[1395] "Means for providing the judged results and necessary explanations" refers to technology or devices that provide feedback or additional explanations to the worker based on the analysis results of the voice input.

[1396] "Means for transmitting identification data to a server via wireless communication and displaying training content returned from the server" refers to a technology for using communication technology to transmit identification data to a server, and then acquiring and displaying the returned training content.

[1397] "Means for analyzing voice input and generating appropriate feedback using a generative AI model" refers to technology that utilizes an artificial intelligence model to analyze voice data and generate optimal feedback.

[1398] The system embodying the present invention is intended to support the training of workers in a factory. A specific embodiment of the system will be described below.

[1399] System Configuration

[1400] 1. Dedicated media

[1401] Each page of the factory's training manuals has identification data embedded in it, which is implemented as a QR code or IC chip and can be read by the AI ​​pen.

[1402] 2. AI Pen

[1403] The AI ​​pen has the following features:

[1404] Identification data reading function

[1405] Voice input collection function

[1406] Audio output presentation function

[1407] Wireless communication function

[1408] 3. Server

[1409] The server manages and provides training content based on the identification data, analyzes the worker's voice input, determines whether the answer is correct, and generates appropriate feedback using a generative AI model.

[1410] Program processing explanation

[1411] The server manages a series of processes, starting with reading the identification data, acquiring the training content, presenting it via audio output, collecting and analyzing audio input, and generating feedback.

[1412] Hardware

[1413] AI Pen: A device equipped with a QR code / IC chip reader, microphone, speaker, and wireless communication functions

[1414] Factory training manuals: paper or digital with embedded identifying data

[1415] Server: Central server for data management and analysis

[1416] software

[1417] qrcode library: generate and read identification data

[1418] speech_recognition library: Collecting and recognizing speech input

[1419] gTTS (Google Text-to-Speech) library: Generates audio feedback

[1420] The requests library: Communicating with the server

[1421] Specific examples

[1422] To review a specific work procedure, a worker opens the training manual to the appropriate page and then holds the AI ​​pen over the QR code or IC chip on that page to read the identification data.

[1423] The server retrieves relevant training content from a database based on the scanned identification data and sends it to the AI ​​pen, which then presents the content aloud and instructs the worker on work procedures and important points to note.

[1424] When a worker voices a question or confirmation, the AI ​​pen collects the input and sends it to the server, which uses a generative AI model to analyze the voice input and generate appropriate feedback or next steps, which are then presented aloud via the AI ​​pen.

[1425] Prompt Sentence Examples

[1426] Please explain the steps on this page.

[1427] "What should I pay attention to in the next step?"

[1428] "Please confirm the correct procedure for this task."

[1429] This system allows workers to receive appropriate training and feedback in real time, and makes it possible to provide education tailored to each worker's skill level and understanding, thereby improving work efficiency and ensuring safety.

[1430] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1431] Step 1:

[1432] To read the identification data from the dedicated medium, the user holds the AI ​​pen over the QR code or IC chip on the medium.

[1433] Input: Dedicated media, AI pen

[1434] Output: Identification data

[1435] Step 2:

[1436] The terminal acquires the identification data through the AI ​​pen and transmits it to the server using its wireless communication function.

[1437] Input: Identification data, AI pen, terminal wireless communication function

[1438] Output: Identification data sent to the server

[1439] Step 3:

[1440] The server analyzes the received identification data and retrieves the corresponding training content from the database.

[1441] Input: Identification data, Server, Database

[1442] Output: Training content

[1443] Step 4:

[1444] The server transmits the acquired training content to the terminal.

[1445] Input: Training content, server

[1446] Output: Training content sent to your device

[1447] Step 5:

[1448] The device uses an AI pen to present training content to the user via audio.

[1449] Input: Training content sent to the device, AI pen voice output function

[1450] Output: Training content presented audibly

[1451] Step 6:

[1452] The user answers and asks questions by voice in response to the training content presented to them.

[1453] Input: Presented training content, user speech

[1454] Output: User's voice input

[1455] Step 7:

[1456] The device collects the user's voice input through the AI ​​pen and sends it to the server.

[1457] Input: User voice input, AI pen microphone function, device wireless communication function

[1458] Output: Audio data sent to the server

[1459] Step 8:

[1460] The server analyzes the collected voice data, determines whether the answer is correct, and uses a generative AI model to generate the necessary feedback and explanations.

[1461] Input: Voice data, server, generative AI model

[1462] Output: Feedback and Commentary

[1463] Step 9:

[1464] The server sends generated feedback and commentary to the device.

[1465] Input: Generated feedback and commentary, server

[1466] Output: Feedback and commentary sent to the terminal

[1467] Step 10:

[1468] The device uses the AI ​​pen to provide the user with audio feedback and explanations.

[1469] Input: Feedback and commentary sent to device, AI pen voice output function

[1470] Output: Audio feedback and commentary

[1471] This allows workers to receive appropriate training and feedback in real time.

[1472] 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.

[1473] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[1474] Specific system configuration

[1475] 1. Books

[1476] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[1477] 2. AI Pen

[1478] The AI ​​pen has the following features:

[1479] Identification data reading function

[1480] Voice input collection function

[1481] Audio output presentation function

[1482] Wireless communication function

[1483] Emotion engine included

[1484] 3. Server

[1485] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[1486] Program processing flow (natural language explanation)

[1487] The user selects a book and holds up the AI ​​pen

[1488] User: Open a specific page and hold the AI ​​pen over it.

[1489] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[1490] "Identification data" is data that contains information specific to a book.

[1491] The server retrieves educational content and sends it to the AI ​​pen.

[1492] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[1493] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[1494] AI pen presents educational content aloud

[1495] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[1496] User answers by voice

[1497] User: Answers the quiz questions by voice.

[1498] Terminal: The AI ​​pen collects audio and sends it to the server.

[1499] Voice analysis and answer evaluation by the server

[1500] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[1501] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[1502] Emotion recognition by emotion engine

[1503] Device: The AI ​​pen collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state.

[1504] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[1505] Emotional state evaluation and feedback generation on the server

[1506] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[1507] For example, if the user is confused, provide more detailed explanations.

[1508] Notification of results and related information provided by AI pen

[1509] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[1510] Example and its operation

[1511] Picture book scene: Learning about sea creatures

[1512] 1. User selects a book

[1513] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[1514] 2. Reading identification data

[1515] Terminal: The AI ​​pen reads the identification data.

[1516] 3. Acquiring educational content

[1517] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[1518] 4. Presentation of educational content

[1519] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[1520] 5. User Responses

[1521] User: Says "It's a mammal."

[1522] Terminal: The AI ​​pen collects audio and sends it to the server.

[1523] 6. Analysis and evaluation of responses

[1524] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1525] 7. Emotion recognition

[1526] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[1527] 8. Emotion-Based Feedback

[1528] Server: Tailor the necessary feedback and educational content based on the user’s emotional state. For example, if the user is confused, encourage them to “ask again if you don’t understand.”

[1529] 9. Notification of results and provision of explanations

[1530] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[1531] Through this system, users can have an interactive and emotionally responsive learning experience.

[1532] The processing flow will be explained below.

[1533] Step 1:

[1534] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[1535] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[1536] Step 2:

[1537] The terminal reads the book's identification data and transmits the data to the server.

[1538] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[1539] Step 3:

[1540] The server receives the identification data and retrieves the corresponding educational content from a database.

[1541] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[1542] Step 4:

[1543] The server sends the acquired educational content to the AI ​​pen.

[1544] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[1545] Step 5:

[1546] The device presents the received educational content to the user via audio.

[1547] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[1548] Step 6:

[1549] The user answers the quiz by voice.

[1550] Specific action: Say "It's a mammal."

[1551] Step 7:

[1552] The device collects the user's voice and sends it to the server.

[1553] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[1554] Step 8:

[1555] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[1556] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[1557] Step 9:

[1558] The device collects the user's voice and facial expressions, analyzes them using an emotion engine, and sends the emotional state to the server.

[1559] Specific operation: Using the microphone and camera built into the AI ​​pen, the user's voice and facial expression data is collected and analyzed in real time by the emotion engine.

[1560] Step 10:

[1561] The server receives the analysis results of the emotion engine and adjusts the feedback and educational content according to the user's emotional state.

[1562] Specific operation: The server analyzes the emotional state data received from the emotion engine and generates content that provides a more detailed explanation if the user is confused, or suggests a new challenge if the user is excited.

[1563] Step 11:

[1564] The device notifies the user via voice of the adjusted feedback and additional educational content received from the server.

[1565] Specific operation: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then, depending on the user's emotional state, will present a new quiz question: "Next question: How do jellyfish move?"

[1566] In this way, users can experience an emotionally responsive and interactive learning experience through a series of steps.

[1567] Example 2

[1568] 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."

[1569] Conventional educational systems only provide static content to supplement the content of books, and have the problem of being unable to provide dynamic feedback based on the user's level of understanding or emotions. Furthermore, there are insufficient means for analyzing users' voice responses, making it difficult for users to receive appropriate feedback in real time when answering quizzes. Furthermore, since educational content cannot be adjusted based on the user's emotional state, it is difficult to respond to individual learning needs.

[1570] 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.

[1571] In this invention, the server includes means for acquiring educational content based on the identification data, means for analyzing the collected voice input to determine the answer, and means for adjusting the feedback and educational content based on the user's emotional state, thereby enabling dynamic feedback according to the user's level of understanding and emotional state.

[1572] A "dedicated book" is a specific book with embedded identification data and containing information that can be read by an AI pen.

[1573] "Identification data" refers to information data embedded within a book, and is composed of an IC chip, QR code, etc., and is data used to identify information on a specific page.

[1574] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[1575] "Voice input" is voice data uttered by the user, and is information used for answering quizzes, etc.

[1576] "Analysis" is the means of analyzing collected voice input to determine whether it is correct or incorrect, or its emotional state.

[1577] An "emotion engine" is software or hardware that recognizes and analyzes a user's emotional state based on their voice and facial expression data.

[1578] "Feedback" is additional information or advice provided to the user based on the analysis results and emotion recognition.

[1579] "Wireless communication" refers to a means of communication for sending and receiving data between an AI pen and a server, and is a technology that includes Wi-Fi.

[1580] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[1581] System Configuration

[1582] books

[1583] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[1584] AI Pen

[1585] The AI ​​pen is a device with the following features:

[1586] Identification data reading function: Ability to read IC chips and QR codes inside books.

[1587] Voice input collection function: A function that recognizes the user's voice and collects it as voice data.

[1588] Audio output presentation function: A function that presents acquired educational content to users via audio.

[1589] Wireless communication functions: Communication functions such as Wi-Fi for sending and receiving data with the server.

[1590] Emotion engine: Software and hardware for recognizing and analyzing the user's emotional state.

[1591] server

[1592] The server is responsible for managing and providing educational content based on the identification data. It also has the function of analyzing the user's voice input and determining whether the answer was correct or not. The server has the following functions:

[1593] Educational content retrieval function: Retrieving relevant educational content from a database based on the received identification data.

[1594] Voice data analysis function: A function that analyzes the user's voice input and determines whether it is correct or incorrect.

[1595] Emotion recognition result processing function: A function that accepts the analysis results of the inserted emotion engine and adjusts the feedback and educational content provided.

[1596] Specific examples

[1597] Scenario: Learning about sea creatures

[1598] Let's say a user opens a special book and holds up the AI ​​pen to learn about "ocean creatures." The specific behavior is as follows:

[1599] 1. User selects a book

[1600] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[1601] 2. Reading identification data

[1602] Terminal: The AI ​​pen reads the identification data.

[1603] 3. Acquiring educational content

[1604] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[1605] 4. Presentation of educational content

[1606] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[1607] 5. User Responses

[1608] User: Says "It's a mammal."

[1609] Terminal: The AI ​​pen collects audio and sends it to the server.

[1610] 6. Analysis and evaluation of responses

[1611] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1612] 7. Emotion recognition

[1613] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[1614] 8. Emotion-Based Feedback

[1615] Server: Tailor the necessary feedback and educational content based on the user's emotional state. For example, if the user is confused, prompt them with "If you don't understand, please ask again."

[1616] 9. Notification of results and provision of explanations

[1617] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[1618] Example prompts to input to the generative AI model

[1619] After the user holds the AI ​​pen over a specified page to read the identification data, retrieve the educational content related to that page and provide audio guidance. After the user answers the question, use the emotion engine to analyze the user's emotions and provide appropriate feedback. For example, if a user answers "Are dolphins mammals or fish?" to the question "Are they mammals?", evaluate the answer and provide additional information such as "Dolphins are mammals just like humans." If the user is confused, provide further explanation.

[1620] Through this system, users can have an interactive and emotionally responsive learning experience.

[1621] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1622] Step 1:

[1623] User: Open a specific page and hold the AI ​​pen over it.

[1624] Input: The book page selected by the user.

[1625] Output: Identification data is read by the AI ​​pen.

[1626] Step 2:

[1627] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[1628] Input: Identification data obtained from an IC chip, QR code, etc.

[1629] Output: The identification data sent to the server.

[1630] Specific operation: The AI ​​pen's sensor captures data from the IC chip and sends it to the server via Wi-Fi.

[1631] Step 3:

[1632] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[1633] Input: The identification data received by the server.

[1634] Output: Educational content is sent to the AI ​​pen.

[1635] Specific operation: The server searches the database, retrieves the relevant educational content, and transmits it to the AI ​​pen via wireless communication.

[1636] Step 4:

[1637] Terminal: The AI ​​pen presents the received educational content to the user via audio.

[1638] Input: Educational content received from the server.

[1639] Output: Educational content presented audibly to the user.

[1640] Specific operation: The AI ​​pen uses a speaker to ask a quiz question aloud: "Are dolphins mammals or fish?"

[1641] Step 5:

[1642] User: Answers the quiz questions by voice.

[1643] Terminal: The AI ​​pen collects audio and sends it to the server.

[1644] Input: A spoken response from the user.

[1645] Output: The audio data sent to the server.

[1646] Specific operation: The user's answers are captured via microphone and sent to the server via Wi-Fi.

[1647] Step 6:

[1648] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[1649] Input: User's voice data.

[1650] Output: Correct / incorrect answer and additional explanation.

[1651] Specific operation: The data is analyzed using a voice analysis algorithm, and if it is determined to be correct, a supplementary explanation such as "Dolphins are mammals just like humans" is generated.

[1652] Step 7:

[1653] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes their emotional state using an emotion engine, and transmits the emotional state to the server.

[1654] Input: User's voice and facial expression data.

[1655] Output: Emotional state data sent to the server.

[1656] Specific operation: Voice and facial expressions are captured using a microphone and sensors, and the results are analyzed by the emotion engine and sent to the server.

[1657] Step 8:

[1658] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[1659] Input: Emotional state data.

[1660] Output: Tailored feedback and educational content.

[1661] Specific Action: If the user is confused, generate feedback that encourages them to "Ask again if you don't understand."

[1662] Step 9:

[1663] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice.

[1664] Input: Evaluation result and supplementary explanation sent from the server.

[1665] Output: Results and additional explanations presented to the user aloud.

[1666] Specific action: The AI ​​pen announces through the speaker, "That's right! Dolphins are mammals just like humans," and then asks the next question.

[1667] (Application example 2)

[1668] 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."

[1669] Conventional educational systems have been unable to recognize a user's emotional state and adjust learning content and feedback accordingly. This often leaves users confused or disinterested in learning. Furthermore, educational content lacking interactivity reduces learning effectiveness. The objective of this invention is to solve these problems and provide a system that supports effective learning by providing feedback according to the user's emotional state.

[1670] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for reading identification data embedded in a dedicated book, means for acquiring educational content based on the read identification data, means for presenting the acquired educational content by voice, means for collecting voice input from the user, means for analyzing the collected voice input and determining an answer, means for providing the determined result and necessary explanation, means for recognizing the user's emotional state, and means for adjusting feedback based on the emotional state. This enables an interactive and effective learning experience that is tailored to the user's emotional state.

[1671] "Book" means a document in print or digital form containing educational content that is used to deliver specific learning content.

[1672] "Identification data" refers to data containing unique information embedded in a book, and is implemented in the form of an IC chip, QR code, or the like.

[1673] "Educational content" refers to learning materials such as study materials, quizzes, and explanations provided based on identification data.

[1674] The "AI Pen" is a pen-shaped device that can read identification data, collect voice input, provide voice output, communicate wirelessly, and has an emotion engine.

[1675] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[1676] "Emotional state" refers to the user's emotional reactions during learning, such as confusion, interest, or delight.

[1677] "Wireless communication" refers to a data communication means for transmitting identification data to a server and receiving educational content returned from the server.

[1678] "Voice input" refers to voice instructions or responses given by a user to a device.

[1679] "Feedback" refers to responses such as additional explanations or suggestions for the next learning content that are provided based on the user's answers and emotional state.

[1680] A "server" is a computer system that is responsible for managing and providing educational content based on identification data.

[1681] "User" refers to a person who uses this system to learn educational content.

[1682] "Smart glasses" are eyeglass-type wearable devices that provide visual and audio information when worn by the user and are equipped with a camera and voice recognition functions.

[1683] To implement this invention, a system combining a dedicated book, an AI pen, a server, and an emotion engine is required. A specific embodiment is shown below.

[1684] System Configuration

[1685] 1. Exclusive Books:

[1686] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by an AI pen or smart glasses.

[1687] 2. AI pen and smart glasses:

[1688] The AI ​​pen is equipped with a camera and voice recognition function, allowing users to hold it over books to read their identification data and provide educational content via voice.

[1689] 3. Server:

[1690] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. It also generates appropriate feedback based on the user's emotional state analyzed using an emotion engine.

[1691] Program processing flow

[1692] 1. Open the book and hold the AI ​​pen or smart glasses over the page:

[1693] The user opens a specific page and holds the AI ​​pen or smart glasses over it, which reads the identification data and sends it to the server.

[1694] 2. Acquiring and Presenting Educational Content:

[1695] The server retrieves educational content from the database based on the identification data and sends it to the AI ​​pen or smart glasses, which then presents the retrieved educational content to the user via audio.

[1696] 3. User voice input and answer evaluation:

[1697] The user answers the presented educational content (e.g., a quiz) by voice. The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines whether the answer was correct. It also generates supplementary explanations and related information as needed.

[1698] 4. Emotion recognition and feedback generation by emotion engine:

[1699] The AI ​​pen or smart glasses collects the user's voice and facial expressions, analyzes them with an emotion engine, and transmits the emotional state to the server. The server then adjusts the feedback and educational content based on the emotional state analyzed by the emotion engine and transmits it to the AI ​​pen or smart glasses.

[1700] 5. Notification of results and provision of related information:

[1701] The AI ​​pen or smart glasses will notify the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's right!" and provide further explanations.

[1702] Specific examples

[1703] Picture book scene: Learning about sea creatures

[1704] 1. User selects a book:

[1705] The user opens a special book depicting marine life and holds up an AI pen or smart glasses.

[1706] 2. Reading identification data:

[1707] The AI ​​pen or smart glasses read the identification data and send it to the server.

[1708] 3. Acquiring and Presenting Educational Content:

[1709] The server retrieves relevant educational content from the database and sends it to the AI ​​pen or smart glasses, for example, presenting a quiz question such as "Are dolphins mammals or fish?"

[1710] 4. User answers and ratings:

[1711] The user answers verbally, "They are mammals." The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines that the answer is correct. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1712] 5. Emotion Recognition and Feedback:

[1713] The AI ​​pen or smart glasses collect the user's voice and facial expressions, analyze their emotional state using an emotion engine, and send the results to the server. Based on the emotional state, the server provides feedback, such as "If you don't understand, please ask again" if the user is confused.

[1714] 6. Notification of results and provision of related information:

[1715] The AI ​​pen or smart glasses will announce, "That's right! Dolphins are mammals just like humans," and then present the next quiz question: "Next question: How do jellyfish move?"

[1716] Prompt Sentence Examples

[1717] "This is a simulated training for a virtual bookstore. Users read the book 'Life in the Sea' and answer the following quiz: Are dolphins mammals or fish?"

[1718] Through this system, users can have an interactive and emotionally responsive learning experience, which can improve learning effectiveness and provide a more enjoyable learning environment.

[1719] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1720] Step 1:

[1721] The user opens a specific page in a special book and holds a device (AI pen or smart glasses) over the page. At this time, the device reads the identification data embedded in the book. The identification data is stored in an IC chip or QR code and is read by the device's sensor.

[1722] input

[1723] Identification data for book pages

[1724] Data Processing

[1725] The device scans the identification data and extracts it as digital data.

[1726] output

[1727] Identification data is passed to the terminal

[1728] Step 2:

[1729] The terminal transmits the read identification data to a server via wireless communication, which receives the identification data and retrieves relevant educational content from a database.

[1730] input

[1731] Identification Data

[1732] Data Processing

[1733] The server converts the identification data into a database query to search for relevant educational content.

[1734] output

[1735] Related educational content

[1736] Step 3:

[1737] The server then transmits the acquired educational content to the terminal via wireless communication, and the terminal then presents the received educational content to the user via audio.

[1738] input

[1739] Educational Content

[1740] Data Processing

[1741] The device converts the text data of educational content into audio data.

[1742] output

[1743] Audio presentation of educational content

[1744] Step 4:

[1745] The user responds by voice, and the device collects this voice input and sends the voice data to the server.

[1746] input

[1747] User's voice response

[1748] Data Processing

[1749] The device collects voice data in digital format and sends it to a server

[1750] output

[1751] The audio data is sent to the server

[1752] Step 5:

[1753] The server analyzes the received voice data, determines whether the answer was successful, and generates supplementary explanations and related information as necessary.

[1754] input

[1755] Audio data

[1756] Data Processing

[1757] The server uses voice recognition technology to convert the voice data into text data and compares it with the answer.

[1758] Determine success or failure and generate supplementary explanations if necessary

[1759] output

[1760] Evaluation results and supplementary explanations of your answers

[1761] Step 6:

[1762] The device collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state, which is also sent to the server.

[1763] input

[1764] User voice and facial expression data

[1765] Data Processing

[1766] The device digitizes voice and facial expression data and analyzes it with an emotion engine.

[1767] Send emotional state to server

[1768] output

[1769] Emotional state data

[1770] Step 7:

[1771] The server generates appropriate feedback based on the emotional state analyzed by the emotion engine and transmits it back to the terminal.

[1772] input

[1773] Emotional state data

[1774] Data Processing

[1775] The server adjusts the feedback based on the emotional state.

[1776] Generate feedback text and audio data

[1777] output

[1778] Feedback Data

[1779] Step 8:

[1780] The terminal notifies the user of the evaluation results and supplementary explanations from the server, as well as feedback based on the user's emotional state, via voice.

[1781] input

[1782] Feedback Data

[1783] Data Processing

[1784] The device converts the feedback text data into audio data.

[1785] output

[1786] Audio feedback notification

[1787] This series of processing steps provides the user with an interactive and emotionally responsive learning experience.

[1788] 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.

[1789] 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.

[1790] 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.

[1791] [Fourth embodiment]

[1792] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1793] 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.

[1794] 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).

[1795] 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.

[1796] 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.

[1797] 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).

[1798] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1799] 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.

[1800] 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.

[1801] 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.

[1802] 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.

[1803] 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.

[1804] 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."

[1805] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[1806] Specific system configuration

[1807] 1. Books

[1808] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[1809] 2. AI Pen

[1810] The AI ​​pen has the following features:

[1811] Identification data reading function

[1812] Voice input collection function

[1813] Audio output presentation function

[1814] Wireless communication function

[1815] 3. Server

[1816] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[1817] Program processing flow (natural language explanation)

[1818] The user selects a book and holds up the AI ​​pen

[1819] User: Open a specific page and hold the AI ​​pen over it.

[1820] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[1821] "Identification data" is data that contains information specific to a book.

[1822] The server retrieves educational content and sends it to the AI ​​pen.

[1823] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[1824] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[1825] AI pen presents educational content aloud

[1826] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[1827] User answers by voice

[1828] User: Answers the quiz questions by voice.

[1829] Terminal: The AI ​​pen collects audio and sends it to the server.

[1830] Voice analysis and answer evaluation by the server

[1831] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[1832] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[1833] Notification of results and related information provided by AI pen

[1834] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[1835] Example and its operation

[1836] Picture book scene: Learning about sea creatures

[1837] 1. User selects a book

[1838] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[1839] 2. Reading identification data

[1840] Terminal: The AI ​​pen reads the identification data.

[1841] 3. Acquiring educational content

[1842] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[1843] 4. Presentation of educational content

[1844] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[1845] 5. User Responses

[1846] User: Says "It's a mammal."

[1847] Terminal: The AI ​​pen collects audio and sends it to the server.

[1848] 6. Analysis and evaluation of responses

[1849] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1850] 7. Notification of results and provision of explanations

[1851] Device: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then present the next related quiz.

[1852] The system provides an interactive learning experience, allowing users to learn effectively while having fun.

[1853] The processing flow will be explained below.

[1854] Step 1:

[1855] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[1856] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[1857] Step 2:

[1858] The terminal reads the book's identification data and transmits the data to the server.

[1859] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[1860] Step 3:

[1861] The server receives the identification data and retrieves the corresponding educational content from a database.

[1862] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[1863] Step 4:

[1864] The server sends the acquired educational content to the AI ​​pen.

[1865] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[1866] Step 5:

[1867] The device presents the received educational content to the user via audio.

[1868] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[1869] Step 6:

[1870] The user answers the quiz by voice.

[1871] Specific action: Say "It's a mammal."

[1872] Step 7:

[1873] The device collects the user's voice and sends it to the server.

[1874] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[1875] Step 8:

[1876] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[1877] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[1878] Step 9:

[1879] The server sends the analysis results and supplementary explanations to the AI ​​pen.

[1880] How it works: The server sends the analysis results data to the AI ​​pen, again via Wi-Fi or Bluetooth.

[1881] Step 10:

[1882] The device will notify the user of the result and additional explanations via voice and then ask the next quiz question.

[1883] Specific operation: The AI ​​pen announces in voice, "That's correct! Dolphins are mammals just like humans," and then reads out the next question: "Next question: How do jellyfish move?"

[1884] In this way, users can have an interactive learning experience through a series of steps.

[1885] Example 1

[1886] 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."

[1887] Conventional educational systems lack the ability to link books and electronic devices, making it difficult to present and evaluate learning content in real time. They also lack the means to efficiently analyze users' voice input and provide appropriate feedback. The purpose of this invention is to solve these problems and provide an interactive and effective learning experience.

[1888] 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.

[1889] In this invention, the server includes a means for acquiring educational content based on identification data, a means for analyzing collected voice input to determine an answer, and a means for providing the determined result and necessary explanation. This allows a user to select a book and read the identification data using an AI pen, and then acquire educational content in real time based on the identification data and present it to them by voice. Furthermore, the server can analyze the user's voice input and quickly provide accurate feedback and explanation, thereby realizing an interactive and effective learning experience.

[1890] "Identification data" is information embedded in special books that can be read by the AI ​​pen to identify specific pages or content.

[1891] "Educational content" refers to learning materials, quizzes, explanations, and other educational materials that are obtained from the server based on identification data and provided to users through the AI ​​pen.

[1892] "Voice input" refers to the voice data that users speak into the AI ​​pen when answering quizzes or questions.

[1893] "Speech recognition technology" is a technology that analyzes collected voice input and converts it into text data.

[1894] "Speech synthesis technology" is a technology that converts text data into voice data and presents it to the user through an AI pen.

[1895] "Wireless communication" is a means of communication for sending and receiving identification data, educational content, voice input, etc. between the server and the AI ​​pen.

[1896] The "server" is a computer system that manages and provides educational content based on identification data, analyzes users' voice input to determine their answers, and generates evaluation results and explanations.

[1897] "Analysis" refers to the process in which the server processes the voice data collected by the AI ​​pen to determine whether the answers are correct or not and to determine related information.

[1898] "Explanation" is an explanatory content that uses voice synthesis technology to present supplementary information and related knowledge to the user's answer.

[1899] "Feedback" refers to the act of the server analyzing the answers given by the user and notifying them via audio via the AI ​​pen.

[1900] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen) and a server that works in conjunction with the device. Specific embodiments are described below.

[1901] Specific system configuration

[1902] 1. Books

[1903] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[1904] 2. AI Pen

[1905] The AI ​​pen has the following features:

[1906] Identification data reading function (e.g. QR code reader)

[1907] Ability to collect audio input (e.g. microphone)

[1908] Audio output presentation (e.g., speakers, speech synthesis technology)

[1909] Wireless communication functions (e.g. Bluetooth and Wi-Fi)

[1910] 3. Server

[1911] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. Specifically, it performs the following functions:

[1912] A means of retrieving educational content based on identification data (e.g., database search functions, MySQL)

[1913] A means of analyzing voice input (e.g., speech recognition API, Google Cloud Speech-to-Text API)

[1914] A means to evaluate the analysis results and generate explanatory notes (e.g., natural language processing, generative AI models)

[1915] Program processing flow (natural language explanation)

[1916] The user selects a book and holds up the AI ​​pen

[1917] User: Open a specific page and hold the AI ​​pen over it.

[1918] Terminal: The AI ​​pen reads the identification data in the book. This data includes an IC chip and a QR code. The read identification data is sent to the server.

[1919] The server retrieves educational content and sends it to the AI ​​pen.

[1920] Server: Receives the scanned identification data, searches the database for relevant educational content, and sends the found content to the AI ​​pen.

[1921] AI pen presents educational content aloud

[1922] Device: The AI ​​pen presents the received educational content (e.g., a quiz) to the user via audio. An example quiz question is, "Are dolphins mammals or fish?"

[1923] User answers by voice

[1924] User: Answers the quiz question by saying "It's a mammal."

[1925] Terminal: The AI ​​pen collects the user's voice and sends the voice data to the server.

[1926] Voice analysis and answer evaluation by the server

[1927] Server: Converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The analyzed text is compared with the correct answer to the quiz to determine whether it is correct or not. If the answer is correct, generates supplementary explanations and related information (e.g., "Dolphins are mammals, just like humans").

[1928] Notification of results and related information provided by AI pen

[1929] Device: The AI ​​pen notifies the user by voice of the evaluation result and supplementary explanation from the server. For example, it might say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz.

[1930] Example and its operation

[1931] Picture book scene: Learning about sea creatures

[1932] 1. User selects a book

[1933] User: Opens a special book with illustrations of sea creatures and holds the AI ​​pen over it.

[1934] 2. Reading identification data

[1935] Terminal: The AI ​​pen reads the identification data (IC chip or QR code) embedded in the book's pages. For example, it decodes it using a QR code reader. The data is then wirelessly transmitted to the server.

[1936] 3. Acquiring educational content

[1937] Server: Based on the read identification data, it searches for relevant quizzes from an educational content database (e.g., MySQL database), retrieves the relevant quiz, "Are dolphins mammals or fish?", and sends it to the AI ​​pen.

[1938] 4. Presentation of educational content

[1939] Device: The AI ​​pen receives the quiz and uses its speech synthesis function to present it to the user aloud. A text-to-speech service is used for speech synthesis.

[1940] 5. User Responses

[1941] User: Says "It's a mammal."

[1942] Device: The AI ​​pen collects the user's voice and sends the voice data to the server in a lossless format (e.g., FLAC).

[1943] 6. Analysis and evaluation of responses

[1944] Server: Converts the received voice data into text using a speech recognition API. Compares the converted text with the correct answer to the quiz, "They are mammals." If it is determined to be correct, generates a supplementary explanation: "Dolphins are mammals, just like humans."

[1945] 7. Notification of results and provision of explanations

[1946] Device: The AI ​​pen notifies the user by voice of the evaluation result from the server ("That's right!") and a supplementary explanation ("Dolphins are mammals just like humans."), then presents a new related quiz.

[1947] Specific example (example of a prompt sentence for a generative AI model)

[1948] Prompt statement:

[1949] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[1950] Using this prompt, the generative AI model can generate specific quiz content, providing users with an interactive learning experience that allows them to learn effectively while having fun.

[1951] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1952] The flow of this system's program processing

[1953] Step 1:

[1954] User: Opens the book and holds the AI ​​pen over a specific page. The AI ​​pen's reading sensor detects and reads the identification data embedded in the page. The input is the page's identification data, and the output is the read identification data.

[1955] Step 2:

[1956] Terminal: The AI ​​pen sends the identification data it reads to the server via wireless communication (e.g., Bluetooth or Wi-Fi). The input is the read identification data, and the output is the identification data sent to the server. Specifically, the AI ​​pen's wireless communication module operates and sends the data to the server.

[1957] Step 3:

[1958] Server: The server searches the educational content database based on the identification data it receives. It retrieves the corresponding educational content (e.g., the relevant quiz) and sends it back to the AI ​​pen. The input is the identification data, and the output is the retrieved educational content. Specifically, it executes a database query using the identification data as a key to retrieve the related quiz.

[1959] Step 4:

[1960] Terminal: The AI ​​pen receives the educational content sent back from the server and uses speech synthesis technology to present it to the user aloud. The input is the received educational content, and the output is the audio quiz. Specifically, the text-to-speech module operates to read the quiz aloud.

[1961] Step 5:

[1962] User: Answers the given quiz questions by voice. The input is the quiz presented by voice, and the output is the user's voice answer data. The specific operation is that the user answers the quiz by voice.

[1963] Step 6:

[1964] Terminal: The AI ​​pen collects the user's voice response and transmits it to the server via wireless communication. The input is the user's voice response data, and the output is the voice data transmitted to the server. Specifically, the AI ​​pen's microphone operates, capturing the voice data and transmitting it to the server.

[1965] Step 7:

[1966] Server: The server converts the received voice data into text using a speech recognition API (e.g., Google Cloud Speech-to-Text API). The converted text is compared with the correct answer to the quiz to determine whether it is correct or incorrect. Supplementary explanations and related information are generated as needed. The input is the voice data, and the output is the analyzed text and its evaluation results. Specifically, the server calls the speech recognition API and compares the obtained text with the correct answer in the database.

[1967] Step 8:

[1968] Terminal: The AI ​​pen notifies the user by voice of the evaluation results and supplementary explanations sent from the server. For example, it may say, "You got it right! Dolphins are mammals just like humans." It then presents a new related quiz. The input is the evaluation results and supplementary explanations, and the output is the audio feedback. Specifically, the text-to-speech module works again to provide the user with audio feedback.

[1969] Specific example (example of a prompt sentence for a generative AI model)

[1970] Prompt statement:

[1971] "I want to use the AI ​​pen to learn about sea creatures. I open a book and hold the pen over the page with the dolphin. The pen then provides a quiz for me to fill out."

[1972] Through these steps, users can learn interactively and effectively.

[1973] (Application example 1)

[1974] 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."

[1975] Factory worker training is typically conducted while referring to a vast amount of procedures and manuals, but this poses challenges in work efficiency and comprehension. Effective education and training also requires a great deal of time and effort, and it is difficult to provide appropriate feedback and explanations to individual workers. This results in insufficient effectiveness in improving worker skills and ensuring safety.

[1976] 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.

[1977] In this invention, the server includes: means for reading identification data from a dedicated medium; means for acquiring training content based on the identification data; means for audibly presenting the acquired training content; means for collecting voice input from the worker; means for analyzing the collected voice input and determining the answer; means for providing the determined result and necessary explanation; means for wirelessly transmitting the identification data to the server and displaying the training content returned from the server; and means for analyzing the voice input and generating appropriate feedback using a generative AI model. This allows workers to receive appropriate training and feedback in real time. Furthermore, it is possible to provide education tailored to individual skill levels and levels of understanding, thereby improving work efficiency and ensuring safety.

[1978] A "specialized medium" is a medium containing specific information with embedded identifying data.

[1979] "Identification data" refers to data embedded in a dedicated medium that identifies specific content or information.

[1980] A "reading means" is a device or technology for extracting identification data from a dedicated medium.

[1981] "Training content" refers to the content of work procedures, educational materials, etc., acquired based on identification data.

[1982] The "means for presenting by voice" refers to a device or technology for outputting acquired training content as voice.

[1983] The "means for collecting voice input from the worker" is a technology for recognizing the voice of the worker and collecting it as data.

[1984] The "means for analyzing collected voice inputs and determining answers" is a technology for analyzing collected voice data and determining whether the content is correct or incorrect.

[1985] "Means for providing the judged results and necessary explanations" refers to technology or devices that provide feedback or additional explanations to the worker based on the analysis results of the voice input.

[1986] "Means for transmitting identification data to a server via wireless communication and displaying training content returned from the server" refers to a technology for using communication technology to transmit identification data to a server, and then acquiring and displaying the returned training content.

[1987] "Means for analyzing voice input and generating appropriate feedback using a generative AI model" refers to technology that utilizes an artificial intelligence model to analyze voice data and generate optimal feedback.

[1988] The system embodying the present invention is intended to support the training of workers in a factory. A specific embodiment of the system will be described below.

[1989] System Configuration

[1990] 1. Dedicated media

[1991] Each page of the factory's training manuals has identification data embedded in it, which is implemented as a QR code or IC chip and can be read by the AI ​​pen.

[1992] 2. AI Pen

[1993] The AI ​​pen has the following features:

[1994] Identification data reading function

[1995] Voice input collection function

[1996] Audio output presentation function

[1997] Wireless communication function

[1998] 3. Server

[1999] The server manages and provides training content based on the identification data, analyzes the worker's voice input, determines whether the answer is correct, and generates appropriate feedback using a generative AI model.

[2000] Program processing explanation

[2001] The server manages a series of processes, starting with reading the identification data, acquiring the training content, presenting it via audio output, collecting and analyzing audio input, and generating feedback.

[2002] Hardware

[2003] AI Pen: A device equipped with a QR code / IC chip reader, microphone, speaker, and wireless communication functions

[2004] Factory training manuals: paper or digital with embedded identifying data

[2005] Server: Central server for data management and analysis

[2006] software

[2007] qrcode library: generate and read identification data

[2008] speech_recognition library: Collecting and recognizing speech input

[2009] gTTS (Google Text-to-Speech) library: Generates audio feedback

[2010] The requests library: Communicating with the server

[2011] Specific examples

[2012] To review a specific work procedure, a worker opens the training manual to the appropriate page and then holds the AI ​​pen over the QR code or IC chip on that page to read the identification data.

[2013] The server retrieves relevant training content from a database based on the scanned identification data and sends it to the AI ​​pen, which then presents the content aloud and instructs the worker on work procedures and important points to note.

[2014] When a worker voices a question or confirmation, the AI ​​pen collects the input and sends it to the server, which uses a generative AI model to analyze the voice input and generate appropriate feedback or next steps, which are then presented aloud via the AI ​​pen.

[2015] Prompt Sentence Examples

[2016] Please explain the steps on this page.

[2017] "What should I pay attention to in the next step?"

[2018] "Please confirm the correct procedure for this task."

[2019] This system allows workers to receive appropriate training and feedback in real time, and makes it possible to provide education tailored to each worker's skill level and understanding, thereby improving work efficiency and ensuring safety.

[2020] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2021] Step 1:

[2022] To read the identification data from the dedicated medium, the user holds the AI ​​pen over the QR code or IC chip on the medium.

[2023] Input: Dedicated media, AI pen

[2024] Output: Identification data

[2025] Step 2:

[2026] The terminal acquires the identification data through the AI ​​pen and transmits it to the server using its wireless communication function.

[2027] Input: Identification data, AI pen, terminal wireless communication function

[2028] Output: Identification data sent to the server

[2029] Step 3:

[2030] The server analyzes the received identification data and retrieves the corresponding training content from the database.

[2031] Input: Identification data, Server, Database

[2032] Output: Training content

[2033] Step 4:

[2034] The server transmits the acquired training content to the terminal.

[2035] Input: Training content, server

[2036] Output: Training content sent to your device

[2037] Step 5:

[2038] The device uses an AI pen to present training content to the user via audio.

[2039] Input: Training content sent to the device, AI pen voice output function

[2040] Output: Training content presented audibly

[2041] Step 6:

[2042] The user answers and asks questions by voice in response to the training content presented to them.

[2043] Input: Presented training content, user speech

[2044] Output: User's voice input

[2045] Step 7:

[2046] The device collects the user's voice input through the AI ​​pen and sends it to the server.

[2047] Input: User voice input, AI pen microphone function, device wireless communication function

[2048] Output: Audio data sent to the server

[2049] Step 8:

[2050] The server analyzes the collected voice data, determines whether the answer is correct, and uses a generative AI model to generate the necessary feedback and explanations.

[2051] Input: Voice data, server, generative AI model

[2052] Output: Feedback and Commentary

[2053] Step 9:

[2054] The server sends generated feedback and commentary to the device.

[2055] Input: Generated feedback and commentary, server

[2056] Output: Feedback and commentary sent to the terminal

[2057] Step 10:

[2058] The device uses the AI ​​pen to provide the user with audio feedback and explanations.

[2059] Input: Feedback and commentary sent to device, AI pen voice output function

[2060] Output: Audio feedback and commentary

[2061] This allows workers to receive appropriate training and feedback in real time.

[2062] 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.

[2063] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[2064] Specific system configuration

[2065] 1. Books

[2066] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[2067] 2. AI Pen

[2068] The AI ​​pen has the following features:

[2069] Identification data reading function

[2070] Voice input collection function

[2071] Audio output presentation function

[2072] Wireless communication function

[2073] Emotion engine included

[2074] 3. Server

[2075] The server manages and provides educational content based on the user's identification data, and also analyzes the user's voice input to determine whether the answer is correct or not.

[2076] Program processing flow (natural language explanation)

[2077] The user selects a book and holds up the AI ​​pen

[2078] User: Open a specific page and hold the AI ​​pen over it.

[2079] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[2080] "Identification data" is data that contains information specific to a book.

[2081] The server retrieves educational content and sends it to the AI ​​pen.

[2082] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[2083] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[2084] AI pen presents educational content aloud

[2085] Terminal: The AI ​​pen presents the received educational content (e.g., quizzes) to the user via audio.

[2086] User answers by voice

[2087] User: Answers the quiz questions by voice.

[2088] Terminal: The AI ​​pen collects audio and sends it to the server.

[2089] Voice analysis and answer evaluation by the server

[2090] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[2091] The "means for determining the answer" is a device or method that analyzes the collected voice data and determines whether the answer is correct or incorrect.

[2092] Emotion recognition by emotion engine

[2093] Device: The AI ​​pen collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state.

[2094] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[2095] Emotional state evaluation and feedback generation on the server

[2096] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[2097] For example, if the user is confused, provide more detailed explanations.

[2098] Notification of results and related information provided by AI pen

[2099] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's correct!" and provide a supplementary explanation such as "Dolphins are mammals just like humans."

[2100] Example and its operation

[2101] Picture book scene: Learning about sea creatures

[2102] 1. User selects a book

[2103] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[2104] 2. Reading identification data

[2105] Terminal: The AI ​​pen reads the identification data.

[2106] 3. Acquiring educational content

[2107] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[2108] 4. Presentation of educational content

[2109] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[2110] 5. User Responses

[2111] User: Says "It's a mammal."

[2112] Terminal: The AI ​​pen collects audio and sends it to the server.

[2113] 6. Analysis and evaluation of responses

[2114] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[2115] 7. Emotion recognition

[2116] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[2117] 8. Emotion-Based Feedback

[2118] Server: Tailor the necessary feedback and educational content based on the user’s emotional state. For example, if the user is confused, encourage them to “ask again if you don’t understand.”

[2119] 9. Notification of results and provision of explanations

[2120] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[2121] Through this system, users can have an interactive and emotionally responsive learning experience.

[2122] The processing flow will be explained below.

[2123] Step 1:

[2124] The user selects a special book, opens it to a specific page, and holds the AI ​​pen over the page.

[2125] Specific operation: The user brings the AI ​​pen close to the book's identification data (such as an IC chip or QR code).

[2126] Step 2:

[2127] The terminal reads the book's identification data and transmits the data to the server.

[2128] How it works: The sensor built into the AI ​​pen reads the identification data and sends it to a server via Wi-Fi or Bluetooth.

[2129] Step 3:

[2130] The server receives the identification data and retrieves the corresponding educational content from a database.

[2131] Specific operation: Based on the identification data, the server searches the database for the corresponding content ID and retrieves the corresponding educational content (e.g., quiz).

[2132] Step 4:

[2133] The server sends the acquired educational content to the AI ​​pen.

[2134] Specific operation: The server sends the acquired educational content data back to the AI ​​pen, which also communicates via Wi-Fi or Bluetooth.

[2135] Step 5:

[2136] The device presents the received educational content to the user via audio.

[2137] Specific operation: Through the speaker built into the AI ​​pen, the quiz is read out aloud: "Here's a question. Are dolphins mammals or fish?"

[2138] Step 6:

[2139] The user answers the quiz by voice.

[2140] Specific action: Say "It's a mammal."

[2141] Step 7:

[2142] The device collects the user's voice and sends it to the server.

[2143] Specific operation: The microphone built into the AI ​​pen collects voice, converts it into text data, and sends it to the server.

[2144] Step 8:

[2145] The server analyzes the voice data and determines whether the answer is correct or incorrect, and generates supplementary explanations and related information as needed.

[2146] Specific operation: The server analyzes the voice data and compares it with a list of correct answers. For example, if the answer is "mammal," it will recognize it as the correct answer and generate a message saying "That's correct!" along with additional information such as "Dolphins are mammals, just like humans."

[2147] Step 9:

[2148] The device collects the user's voice and facial expressions, analyzes them using an emotion engine, and sends the emotional state to the server.

[2149] Specific operation: Using the microphone and camera built into the AI ​​pen, the user's voice and facial expression data is collected and analyzed in real time by the emotion engine.

[2150] Step 10:

[2151] The server receives the analysis results of the emotion engine and adjusts the feedback and educational content according to the user's emotional state.

[2152] Specific operation: The server analyzes the emotional state data received from the emotion engine and generates content that provides a more detailed explanation if the user is confused, or suggests a new challenge if the user is excited.

[2153] Step 11:

[2154] The device notifies the user via voice of the adjusted feedback and additional educational content received from the server.

[2155] Specific operation: The AI ​​pen will announce, "That's right! Dolphins are mammals just like humans," and then, depending on the user's emotional state, will present a new quiz question: "Next question: How do jellyfish move?"

[2156] In this way, users can experience an emotionally responsive and interactive learning experience through a series of steps.

[2157] Example 2

[2158] 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."

[2159] Conventional educational systems only provide static content to supplement the content of books, and have the problem of being unable to provide dynamic feedback based on the user's level of understanding or emotions. Furthermore, there are insufficient means for analyzing users' voice responses, making it difficult for users to receive appropriate feedback in real time when answering quizzes. Furthermore, since educational content cannot be adjusted based on the user's emotional state, it is difficult to respond to individual learning needs.

[2160] 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.

[2161] In this invention, the server includes means for acquiring educational content based on the identification data, means for analyzing the collected voice input to determine the answer, and means for adjusting the feedback and educational content based on the user's emotional state, thereby enabling dynamic feedback according to the user's level of understanding and emotional state.

[2162] A "dedicated book" is a specific book with embedded identification data and containing information that can be read by an AI pen.

[2163] "Identification data" refers to information data embedded within a book, and is composed of an IC chip, QR code, etc., and is data used to identify information on a specific page.

[2164] "Educational content" refers to educational materials such as study materials, quizzes, and explanations that are acquired based on the identification data.

[2165] "Voice input" is voice data uttered by the user, and is information used for answering quizzes, etc.

[2166] "Analysis" is the means of analyzing collected voice input to determine whether it is correct or incorrect, or its emotional state.

[2167] An "emotion engine" is software or hardware that recognizes and analyzes a user's emotional state based on their voice and facial expression data.

[2168] "Feedback" is additional information or advice provided to the user based on the analysis results and emotion recognition.

[2169] "Wireless communication" refers to a means of communication for sending and receiving data between an AI pen and a server, and is a technology that includes Wi-Fi.

[2170] The present invention is a system that uses identification data embedded in a dedicated book, and integrates a pen-type device with AI (hereinafter referred to as an AI pen), a server that works in conjunction with the device, and an emotion engine that recognizes the user's emotions. Specific embodiments are described below.

[2171] System Configuration

[2172] books

[2173] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by the AI ​​pen.

[2174] AI Pen

[2175] The AI ​​pen is a device with the following features:

[2176] Identification data reading function: Ability to read IC chips and QR codes inside books.

[2177] Voice input collection function: A function that recognizes the user's voice and collects it as voice data.

[2178] Audio output presentation function: A function that presents acquired educational content to users via audio.

[2179] Wireless communication functions: Communication functions such as Wi-Fi for sending and receiving data with the server.

[2180] Emotion engine: Software and hardware for recognizing and analyzing the user's emotional state.

[2181] server

[2182] The server is responsible for managing and providing educational content based on the identification data. It also has the function of analyzing the user's voice input and determining whether the answer was correct or not. The server has the following functions:

[2183] Educational content retrieval function: Retrieving relevant educational content from a database based on the received identification data.

[2184] Voice data analysis function: A function that analyzes the user's voice input and determines whether it is correct or incorrect.

[2185] Emotion recognition result processing function: A function that accepts the analysis results of the inserted emotion engine and adjusts the feedback and educational content provided.

[2186] Specific examples

[2187] Scenario: Learning about sea creatures

[2188] Let's say a user opens a special book and holds up the AI ​​pen to learn about "ocean creatures." The specific behavior is as follows:

[2189] 1. User selects a book

[2190] The user opens a special book with pictures of sea creatures and holds up the AI ​​pen.

[2191] 2. Reading identification data

[2192] Terminal: The AI ​​pen reads the identification data.

[2193] 3. Acquiring educational content

[2194] Server: Based on the scanned identification data, retrieves a quiz about sea creatures from a database.

[2195] 4. Presentation of educational content

[2196] Device: The AI ​​pen asks the question "Are dolphins mammals or fish?"

[2197] 5. User Responses

[2198] User: Says "It's a mammal."

[2199] Terminal: The AI ​​pen collects audio and sends it to the server.

[2200] 6. Analysis and evaluation of responses

[2201] Server: Analyzes the audio data and determines the answer. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[2202] 7. Emotion recognition

[2203] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes them with an emotion engine, and sends the emotional state to the server.

[2204] 8. Emotion-Based Feedback

[2205] Server: Tailor the necessary feedback and educational content based on the user's emotional state. For example, if the user is confused, prompt them with "If you don't understand, please ask again."

[2206] 9. Notification of results and provision of explanations

[2207] Device: The AI ​​pen announces, "That's right! Dolphins are mammals just like humans," and reads out the next question: "Next question: How do jellyfish move?"

[2208] Example prompts to input to the generative AI model

[2209] After the user holds the AI ​​pen over a specified page to read the identification data, retrieve the educational content related to that page and provide audio guidance. After the user answers the question, use the emotion engine to analyze the user's emotions and provide appropriate feedback. For example, if a user answers "Are dolphins mammals or fish?" to the question "Are they mammals?", evaluate the answer and provide additional information such as "Dolphins are mammals just like humans." If the user is confused, provide further explanation.

[2210] Through this system, users can have an interactive and emotionally responsive learning experience.

[2211] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2212] Step 1:

[2213] User: Open a specific page and hold the AI ​​pen over it.

[2214] Input: The book page selected by the user.

[2215] Output: Identification data is read by the AI ​​pen.

[2216] Step 2:

[2217] Terminal: The AI ​​pen reads the identification data in the book and sends it to the server.

[2218] Input: Identification data obtained from an IC chip, QR code, etc.

[2219] Output: The identification data sent to the server.

[2220] Specific operation: The AI ​​pen's sensor captures data from the IC chip and sends it to the server via Wi-Fi.

[2221] Step 3:

[2222] Server: Based on the scanned identification data, retrieves relevant educational content from the database and sends it to the AI ​​pen.

[2223] Input: The identification data received by the server.

[2224] Output: Educational content is sent to the AI ​​pen.

[2225] Specific operation: The server searches the database, retrieves the relevant educational content, and transmits it to the AI ​​pen via wireless communication.

[2226] Step 4:

[2227] Terminal: The AI ​​pen presents the received educational content to the user via audio.

[2228] Input: Educational content received from the server.

[2229] Output: Educational content presented audibly to the user.

[2230] Specific operation: The AI ​​pen uses a speaker to ask a quiz question aloud: "Are dolphins mammals or fish?"

[2231] Step 5:

[2232] User: Answers the quiz questions by voice.

[2233] Terminal: The AI ​​pen collects audio and sends it to the server.

[2234] Input: A spoken response from the user.

[2235] Output: The audio data sent to the server.

[2236] Specific operation: The user's answers are captured via microphone and sent to the server via Wi-Fi.

[2237] Step 6:

[2238] Server: Analyzes the received voice data, determines whether it is correct or incorrect, and generates supplementary explanations and related information as needed.

[2239] Input: User's voice data.

[2240] Output: Correct / incorrect answer and additional explanation.

[2241] Specific operation: The data is analyzed using a voice analysis algorithm, and if it is determined to be correct, a supplementary explanation such as "Dolphins are mammals just like humans" is generated.

[2242] Step 7:

[2243] Device: The AI ​​pen collects the user's voice and facial expressions, analyzes their emotional state using an emotion engine, and transmits the emotional state to the server.

[2244] Input: User's voice and facial expression data.

[2245] Output: Emotional state data sent to the server.

[2246] Specific operation: Voice and facial expressions are captured using a microphone and sensors, and the results are analyzed by the emotion engine and sent to the server.

[2247] Step 8:

[2248] Server: Receives the emotional state analyzed by the emotion engine and adjusts feedback and educational content according to the user's emotions.

[2249] Input: Emotional state data.

[2250] Output: Tailored feedback and educational content.

[2251] Specific Action: If the user is confused, generate feedback that encourages them to "Ask again if you don't understand."

[2252] Step 9:

[2253] Terminal: The AI ​​pen notifies the user of the evaluation results and supplementary explanations from the server via voice.

[2254] Input: Evaluation result and supplementary explanation sent from the server.

[2255] Output: Results and additional explanations presented to the user aloud.

[2256] Specific action: The AI ​​pen announces through the speaker, "That's right! Dolphins are mammals just like humans," and then asks the next question.

[2257] (Application example 2)

[2258] 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."

[2259] Conventional educational systems have been unable to recognize a user's emotional state and adjust learning content and feedback accordingly. This often leaves users confused or disinterested in learning. Furthermore, educational content lacking interactivity reduces learning effectiveness. The objective of this invention is to solve these problems and provide a system that supports effective learning by providing feedback according to the user's emotional state.

[2260] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for reading identification data embedded in a dedicated book, means for acquiring educational content based on the read identification data, means for presenting the acquired educational content by voice, means for collecting voice input from the user, means for analyzing the collected voice input and determining an answer, means for providing the determined result and necessary explanation, means for recognizing the user's emotional state, and means for adjusting feedback based on the emotional state. This enables an interactive and effective learning experience that is tailored to the user's emotional state.

[2261] "Book" means a document in print or digital form containing educational content that is used to deliver specific learning content.

[2262] "Identification data" refers to data containing unique information embedded in a book, and is implemented in the form of an IC chip, QR code, or the like.

[2263] "Educational content" refers to learning materials such as study materials, quizzes, and explanations provided based on identification data.

[2264] The "AI Pen" is a pen-shaped device that can read identification data, collect voice input, provide voice output, communicate wirelessly, and has an emotion engine.

[2265] An "emotion engine" is software or hardware that recognizes a user's emotional state based on their voice and facial expression data.

[2266] "Emotional state" refers to the user's emotional reactions during learning, such as confusion, interest, or delight.

[2267] "Wireless communication" refers to a data communication means for transmitting identification data to a server and receiving educational content returned from the server.

[2268] "Voice input" refers to voice instructions or responses given by a user to a device.

[2269] "Feedback" refers to responses such as additional explanations or suggestions for the next learning content that are provided based on the user's answers and emotional state.

[2270] A "server" is a computer system that is responsible for managing and providing educational content based on identification data.

[2271] "User" refers to a person who uses this system to learn educational content.

[2272] "Smart glasses" are eyeglass-type wearable devices that provide visual and audio information when worn by the user and are equipped with a camera and voice recognition functions.

[2273] To implement this invention, a system combining a dedicated book, an AI pen, a server, and an emotion engine is required. A specific embodiment is shown below.

[2274] System Configuration

[2275] 1. Exclusive Books:

[2276] Each page of the special book has embedded identification data, which is implemented as an IC chip or QR code and can be read by an AI pen or smart glasses.

[2277] 2. AI pen and smart glasses:

[2278] The AI ​​pen is equipped with a camera and voice recognition function, allowing users to hold it over books to read their identification data and provide educational content via voice.

[2279] 3. Server:

[2280] The server manages and provides educational content based on the user's identification data. It also analyzes the user's voice input and determines whether the answer is correct or not. It also generates appropriate feedback based on the user's emotional state analyzed using an emotion engine.

[2281] Program processing flow

[2282] 1. Open the book and hold the AI ​​pen or smart glasses over the page:

[2283] The user opens a specific page and holds the AI ​​pen or smart glasses over it, which reads the identification data and sends it to the server.

[2284] 2. Acquiring and Presenting Educational Content:

[2285] The server retrieves educational content from the database based on the identification data and sends it to the AI ​​pen or smart glasses, which then presents the retrieved educational content to the user via audio.

[2286] 3. User voice input and answer evaluation:

[2287] The user answers the presented educational content (e.g., a quiz) by voice. The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines whether the answer was correct. It also generates supplementary explanations and related information as needed.

[2288] 4. Emotion recognition and feedback generation by emotion engine:

[2289] The AI ​​pen or smart glasses collects the user's voice and facial expressions, analyzes them with an emotion engine, and transmits the emotional state to the server. The server then adjusts the feedback and educational content based on the emotional state analyzed by the emotion engine and transmits it to the AI ​​pen or smart glasses.

[2290] 5. Notification of results and provision of related information:

[2291] The AI ​​pen or smart glasses will notify the user of the evaluation results and supplementary explanations from the server via voice. For example, if the answer is correct, it will say "That's right!" and provide further explanations.

[2292] Specific examples

[2293] Picture book scene: Learning about sea creatures

[2294] 1. User selects a book:

[2295] The user opens a special book depicting marine life and holds up an AI pen or smart glasses.

[2296] 2. Reading identification data:

[2297] The AI ​​pen or smart glasses read the identification data and send it to the server.

[2298] 3. Acquiring and Presenting Educational Content:

[2299] The server retrieves relevant educational content from the database and sends it to the AI ​​pen or smart glasses, for example, presenting a quiz question such as "Are dolphins mammals or fish?"

[2300] 4. User answers and ratings:

[2301] The user answers verbally, "They are mammals." The AI ​​pen or smart glasses collect the voice and send it to the server. The server analyzes the voice data and determines that the answer is correct. It also generates a supplementary explanation: "Dolphins are mammals, just like humans."

[2302] 5. Emotion Recognition and Feedback:

[2303] The AI ​​pen or smart glasses collect the user's voice and facial expressions, analyze their emotional state using an emotion engine, and send the results to the server. Based on the emotional state, the server provides feedback, such as "If you don't understand, please ask again" if the user is confused.

[2304] 6. Notification of results and provision of related information:

[2305] The AI ​​pen or smart glasses will announce, "That's right! Dolphins are mammals just like humans," and then present the next quiz question: "Next question: How do jellyfish move?"

[2306] Prompt Sentence Examples

[2307] "This is a simulated training for a virtual bookstore. Users read the book 'Life in the Sea' and answer the following quiz: Are dolphins mammals or fish?"

[2308] Through this system, users can have an interactive and emotionally responsive learning experience, which can improve learning effectiveness and provide a more enjoyable learning environment.

[2309] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2310] Step 1:

[2311] The user opens a specific page in a special book and holds a device (AI pen or smart glasses) over the page. At this time, the device reads the identification data embedded in the book. The identification data is stored in an IC chip or QR code and is read by the device's sensor.

[2312] input

[2313] Identification data for book pages

[2314] Data Processing

[2315] The device scans the identification data and extracts it as digital data.

[2316] output

[2317] Identification data is passed to the terminal

[2318] Step 2:

[2319] The terminal transmits the read identification data to a server via wireless communication, which receives the identification data and retrieves relevant educational content from a database.

[2320] input

[2321] Identification Data

[2322] Data Processing

[2323] The server converts the identification data into a database query to search for relevant educational content.

[2324] output

[2325] Related educational content

[2326] Step 3:

[2327] The server then transmits the acquired educational content to the terminal via wireless communication, and the terminal then presents the received educational content to the user via audio.

[2328] input

[2329] Educational Content

[2330] Data Processing

[2331] The device converts the text data of educational content into audio data.

[2332] output

[2333] Audio presentation of educational content

[2334] Step 4:

[2335] The user responds by voice, and the device collects this voice input and sends the voice data to the server.

[2336] input

[2337] User's voice response

[2338] Data Processing

[2339] The device collects voice data in digital format and sends it to a server

[2340] output

[2341] The audio data is sent to the server

[2342] Step 5:

[2343] The server analyzes the received voice data, determines whether the answer was successful, and generates supplementary explanations and related information as necessary.

[2344] input

[2345] Audio data

[2346] Data Processing

[2347] The server uses voice recognition technology to convert the voice data into text data and compares it with the answer.

[2348] Determine success or failure and generate supplementary explanations if necessary

[2349] output

[2350] Evaluation results and supplementary explanations of your answers

[2351] Step 6:

[2352] The device collects the user's voice and facial expressions and uses an emotion engine to analyze their emotional state, which is also sent to the server.

[2353] input

[2354] User voice and facial expression data

[2355] Data Processing

[2356] The device digitizes voice and facial expression data and analyzes it with an emotion engine.

[2357] Send emotional state to server

[2358] output

[2359] Emotional state data

[2360] Step 7:

[2361] The server generates appropriate feedback based on the emotional state analyzed by the emotion engine and transmits it back to the terminal.

[2362] input

[2363] Emotional state data

[2364] Data Processing

[2365] The server adjusts the feedback based on the emotional state.

[2366] Generate feedback text and audio data

[2367] output

[2368] Feedback Data

[2369] Step 8:

[2370] The terminal notifies the user of the evaluation results and supplementary explanations from the server, as well as feedback based on the user's emotional state, via voice.

[2371] input

[2372] Feedback Data

[2373] Data Processing

[2374] The device converts the feedback text data into audio data.

[2375] output

[2376] Audio feedback notification

[2377] This series of processing steps provides the user with an interactive and emotionally responsive learning experience.

[2378] 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.

[2379] 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.

[2380] 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.

[2381] 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.

[2382] 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.

[2383] 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.

[2384] 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).

[2385] 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.

[2386] 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."

[2387] 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.

[2388] 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).

[2389] 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.

[2390] 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.

[2391] 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.

[2392] 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.

[2393] 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.

[2394] 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.

[2395] 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.

[2396] 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.

[2397] 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.

[2398] 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.

[2399] The following is further disclosed regarding the above embodiment.

[2400] (Claim 1)

[2401] means for reading identification data embedded in the dedicated book;

[2402] means for acquiring educational content based on the read identification data;

[2403] a means for audibly presenting the acquired educational content;

[2404] means for collecting voice input from a user;

[2405] a means for analyzing the collected voice input to determine the response;

[2406] A means of providing the results of the judgment and providing necessary commentary;

[2407] A system including:

[2408] (Claim 2)

[2409] 2. The system according to claim 1, further comprising means for posing quizzes to users, analyzing the answers to the quizzes, and providing related additional information based on the analysis results.

[2410] (Claim 3)

[2411] 10. The system of claim 1, further comprising means for transmitting the identification data to a server via wireless communication and displaying educational content returned from the server.

[2412] "Example 1"

[2413] (Claim 1)

[2414] means for reading identification data embedded in the dedicated book;

[2415] means for acquiring educational content based on the read identification data;

[2416] a means for audibly presenting the acquired educational content;

[2417] means for collecting voice input from a user;

[2418] a means for analyzing the collected voice input to determine the response;

[2419] A means of providing the results of the judgment and providing necessary commentary;

[2420] means for transmitting the identification data to a server via wireless communication;

[2421] means for audibly presenting the educational content returned from the server;

[2422] means for converting a user's voice input into text using speech recognition technology;

[2423] a means for using speech synthesis technology for audio presentation;

[2424] A system including:

[2425] (Claim 2)

[2426] 2. The system according to claim 1, further comprising means for posing quizzes to users, analyzing the answers to the quizzes, and providing related additional information based on the analysis results.

[2427] (Claim 3)

[2428] 10. The system of claim 1, further comprising means for using a server to obtain educational content, generate evaluation results, and generate follow-up explanations.

[2429] "Application Example 1"

[2430] (Claim 1)

[2431] means for reading the identification data embedded in the dedicated medium;

[2432] means for obtaining training content based on the read identification data;

[2433] a means for audibly presenting the acquired training content;

[2434] means for collecting voice input from a worker;

[2435] a means for analyzing the collected voice input to determine the response;

[2436] A means of providing the results of the judgment and providing necessary commentary;

[2437] means for transmitting the identification data to a server via wireless communication and displaying training content returned from the server;

[2438] A system including:

[2439] (Claim 2)

[2440] 2. The system according to claim 1, further comprising means for presenting a work procedure to a worker, analyzing the worker's response, and providing related additional information based on the analysis results.

[2441] (Claim 3)

[2442] 10. The system of claim 1, further comprising means for analyzing speech input and generating appropriate feedback using a generative AI model.

[2443] "Example 2: Combining Emotion Engines"

[2444] (Claim 1)

[2445] means for reading identification data embedded in the dedicated book;

[2446] means for acquiring educational content based on the read identification data;

[2447] a means for audibly presenting the acquired educational content;

[2448] means for collecting voice input from a user;

[2449] a means for analyzing the collected voice input to determine the response;

[2450] a means for recognizing a user's emotion;

[2451] a means for tailoring feedback and educational content based on the user's emotional state;

[2452] A means of providing the results of the judgment and providing necessary commentary;

[2453] A system including:

[2454] (Claim 2)

[2455] 2. The system according to claim 1, further comprising means for quizzing users and analyzing their answers, and providing related additional information based on the analysis results and emotion recognition.

[2456] (Claim 3)

[2457] 10. The system of claim 1, further comprising means for transmitting the identification data to a server via wireless communication, displaying educational content returned from the server, and providing emotion-recognition feedback.

[2458] "Application example 2 when combining emotion engines"

[2459] (Claim 1)

[2460] means for reading identification data embedded in the dedicated book;...

Claims

1. means for reading identification data embedded in the dedicated book; means for acquiring educational content based on the read identification data; a means for audibly presenting the acquired educational content; means for collecting voice input from a user; a means for analyzing the collected voice input to determine the response; A means of providing the results of the judgment and providing necessary commentary; A system including:

2. 2. The system according to claim 1, further comprising means for issuing quizzes to users, analyzing the answers to the quizzes, and providing related additional information based on the analysis results.

3. 2. The system of claim 1, further comprising means for transmitting the identification data to a server via wireless communication and displaying educational content returned from the server.

Images